ORIGINAL RESEARCH article

Front. Aging Neurosci., 28 April 2025

Sec. Alzheimer's Disease and Related Dementias

Volume 17 - 2025 | https://doi.org/10.3389/fnagi.2025.1572956

Early emergence of motivational and hedonic feeding deficits in the TgF344-AD rat model of Alzheimer’s disease


Sean B. Ostlund*Sean B. Ostlund1*Grace ChenGrace Chen2Alisa KosheleffAlisa Kosheleff2Lindsay M LueptowLindsay M Lueptow3Irina ZhuravkaIrina Zhuravka3Sally A. FrautschySally A. Frautschy4Hoa A. LamHoa A. Lam2Nigel T. Maidment*Nigel T. Maidment2*
  • 1Department of Anesthesiology and Perioperative Care, Irvine School of Medicine, Irvine Center for Addiction Neuroscience (ICAN), University of California, Irvine, Irvine, CA, United States
  • 2Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, Hatos Center for Neuropharmacology, University of California, Los Angeles, Los Angeles, CA, United States
  • 3Behavioral Testing Core, Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States
  • 4Departments of Neurology and Medicine, Geriatric Research Education and Clinical Center, Veterans Greater Los Angeles HealthCare System, University of California, Los Angeles, Los Angeles, CA, United States

Introduction: Alzheimer’s disease (AD) is characterized by progressive cognitive decline and has a long prodromal phase during which subclinical cognitive deficits and neuropsychiatric symptoms may begin to emerge. Apathy, defined as a lack of motivation or volition, is increasingly recognized as a core feature and a potentially early marker of AD. Despite its significance, apathy-like behavior has been underexplored in transgenic models of AD.

Methods: We performed a longitudinal analysis of apathy-like behavior using the well-established TgF344-AD rat model. We compared male and female TgF344-AD and wildtype rats on hedonic (palatable food intake) and motivational (progressive ratio) assays during early (3—4 months), intermediate (6–7 months), and later (9–10 months) stages of adulthood.

Results: We found that female TgF344-AD rats exhibited early and persistent deficits in motivational and hedonic feeding, emerging at 3–4 months and 6–7 months, respectively. During a battery of cognitive tests conducted after 12–14 months of age, TgF344-AD rats were impaired in spatial working memory but also showed wide-ranging deficits in exploratory behavior, which may also be indicative of an apathy-like loss of investigatory drive.

Conclusion: Our findings highlight the TgF344-AD rat as a valuable model for studying early apathy-like behavior in AD and underscore the need to consider sex differences in AD research to better understand the prodromal phase of this disease.

Introduction

Alzheimer’s disease (AD) is a leading cause of dementia and morbidity among the elderly (Alzheimer’s Association, 2024), involves progressive and irreversible cognitive dysfunction, and is believed to have a long prodromal phase that begins years or even decades before diagnosis (Morris, 2005; Sperling et al., 2018). By identifying markers of prodromal AD, it may be possible to develop more effective strategies to target and combat this disease early in its progression.

Apathy – commonly defined as a deficit in motivation or self-initiated behavior – is increasingly recognized as a core feature of AD (Lanctôt et al., 2023; Landes et al., 2001). Apathy is the most common neuropsychiatric symptom of AD (Leung et al., 2021; Zhao et al., 2016), and is associated with severity of cognitive impairment as well as functional disability, self-neglect, caregiver distress, and reduced quality of life (Hongisto et al., 2018; Landes et al., 2001; Massimo and Evans, 2014; Mukherjee et al., 2017). Importantly, apathy is a risk factor for rapid and severe cognitive decline (Palmer et al., 2010; Pink et al., 2015; Richard et al., 2012; Robert et al., 2006; Starkstein et al., 2006), and, because it is often observed early in disease progression, is increasingly recognized as a marker of prodromal AD (Delrieu et al., 2015; Johansson et al., 2020). However, despite its high prevalence and clinical significance in AD, there has been relatively little investigation of apathy-like behavior in transgenic models of AD.

Apathy in AD is expressed across multiple dimensions (Lanctôt et al., 2023; Marin, 1991; Robert et al., 2009; Starkstein et al., 2001). In addition to a primary deficit in motivation or volition (Lanctôt et al., 2023), which impacts initiation of purposeful behaviors like meal preparation and self-care, patients with apathy may also display blunted reactions to affective or emotional stimuli, such as a loss of pleasure in normally rewarding activities. These affective and motivational dimensions of apathy can be reliably measured in rodents using established assays of hedonic feeding behavior (Davis and Smith, 1992; Higgs and Cooper, 1998) and willingness to work for food rewards (Le Heron et al., 2019), respectively.

Our study used the well-characterized TgF344-AD rat model of AD (Cohen et al., 2013), which expresses two human genes implicated in familial early-onset AD driven by the mouse prion promoter: the “Swedish” mutant amyloid precursor protein (APPsw) and the presenilin-1 exon 9 deletion (PS1ΔE9). The TgF344-AD line has been extensively studied and displays a full range of AD pathology including β-amyloid plaques, neurofibrillary tangles, gliosis, neuroinflammation, and apoptosis, along with cognitive impairment (Cohen et al., 2013). While these pathological features peak in old age, they show a long and steady age-dependent progression. Evidence of soluble amyloid-β peptide accumulation, tau reactivity, and gliosis appear as early as 6 months of age (Cohen et al., 2013). Although some reports indicate that memory impairment in this model is progressive and emerges at 10 months or later (Berkowitz et al., 2018; Cohen et al., 2013), recent findings suggest that TgF344-AD rats display much earlier cognitive deficits and emotional changes (Bernaud et al., 2022; Hernandez et al., 2022; Hernandez C. et al., 2024; Pentkowski et al., 2022; Saré et al., 2020).

There is also growing evidence that TgF344-AD rats and other transgenic AD models exhibit sex-dependent cognitive impairment, typically with females showing more pronounced cognitive deficits and increased neuropathology (Carroll et al., 2010; Chaudry et al., 2022; Gallagher et al., 2013; Hemonnot et al., 2022; Yang et al., 2018). Such findings may relate to clinical reports that AD is more prevalent, and tends to be more severe, in women (Colombo et al., 2018; Ferretti et al., 2018; Irvine et al., 2012; Sinforiani et al., 2010). Although much remains unknown regarding the influence of sex on expression of apathy-like behavior in rodent AD models, it was recently shown that 8–9 month old TgF344-AD rats show impaired motivation to work for food rewards and that this effect is more pronounced in females (Hernandez C. et al., 2024). However, it is not clear how early such deficits emerge, whether they are accompanied by altered hedonic reward processing, or whether they predict later cognitive function at middle age.

The current study applied a longitudinal design to investigate apathy-like behavior in TgF344-AD rats during a prodromal window, with rats undergoing separate rounds of testing at early (3–4 months), intermediate (6–7 months), and later (9–10 months) stages of adulthood. During each round of testing, we assessed emotional (hedonic feeding task) and motivational (progressive ratio task) responses to a highly-palatable sweetened condensed milk (SCM) reward. After reaching 12–14 months of age, rats were administered a battery of tests (spontaneous alternation, novel object and novel place recognition) to assess their cognitive function.

Materials and methods

Subjects and apparatus

We obtained female hemizygous TgF344-AD rats from the Rat Resource and Research Center (RRRC, Columbia Missouri), which were bred in-house with male wildtype F344 rats (Envigo) to generate hemizygous TgF344-AD (Tg) and wildtype (WT) offspring. Genotyping was conducted by PCR using primers and procedures detailed in the RRRC document - RRRC 699. We used 22 Tg (10/12 M/F) and 17 WT (7/10 M/F) rats as experimental subjects, which were run in two separate cohorts (cohort 1 ns: male/Tg = 5; female/Tg = 8; male/WT = 3, female/WT = 3; cohort 2 ns: male/Tg = 6; female/Tg = 3; male/WT = 4, female/WT = 8). Experimental rats were weaned at postnatal day (PND) 21 and group-housed in transparent plastic cages (2–5 per cage) with corncob bedding in a temperature- and humidity-controlled vivarium. Experimental procedures were conducted during the light phase (between 9 a.m. and 5 p.m.) of a 12/12 h light/dark cycle. Unless stated otherwise, rats were provided unrestricted access to home chow and tap water in their home cages. All procedures were conducted in compliance with the National Research Council’s Guide for the Care and Use of Laboratory Animals and were authorized by the UCLA Institutional Animal Care and Use Committee.

Appetitive behavioral procedures took place in eight identical Med Associates operant chambers (East Fairfield, VT) housed in sound- and light-attenuated enclosures. Each chamber had a stainless-steel grid floor and was equipped with a retractable lever located to the left of a recessed food port on the front wall. The lever was extended into the chamber for all instrumental conditioning sessions but was retracted at all other times. When used to reinforce instrumental behavior, 100 μl volumes of sweetened condensed milk (SCM) solution were injected via syringe pump into a cup at the base of the food port. A photobeam detector was used to record food-port entries. In separate sessions, a drinking bottle was placed on the outside of the rear chamber wall, providing rats with unrestricted access to SCM solution via a gravity fed, stainless-steel spout which was accessible through a small hole in the rear wall. A contact lickometer (ENV-250B; Med Associates) was attached to the drinking spout to record individual licking events. A houselight (24 V, 2 W), positioned at the center-top of the rear wall, provided illumination during all experimental sessions. MED-PC IV software was used to control experimental events and record data with 10 ms resolution.

Initial unrestricted SCM consumption testing

Once reaching early adulthood (range: PND 68–120), rats were handled once-daily for 5 days before beginning behavioral testing. During the last 3 days of handling, rats were given 4 h of unrestricted access to a bottle of 50% SCM solution (v/v in water) in their home cage to familiarize them with consuming this reward stimulus via a stainless-steel drinking spout. During each of the next 2 days, rats were placed into individual behavioral test chambers for 30-min sessions of unrestricted access to 50% SCM solution (accessible from the same stainless-steel spout through an aperture on the back wall of the test chamber) followed by a series of 30-min consumption test sessions with varying concentrations of SCM solution (2.5%, 10%, 25%, and 50%) in pseudorandom order (Latin square). The stainless-steel spout was then removed from the rear wall of the test chamber until later rounds of unrestricted consumption tests.

Progressive ratio testing with SCM

Rats were then put on a brief, mild food restriction schedule (∼10g or ∼12 g of home chow/rat/day for females and males, respectively) and given 2 days of magazine training to familiarize them with consuming SCM rewards from a food cup situated within a recessed food port on the front wall of the test chamber. Each session consisted of 15 × 100 μl volumes of 50% SCM delivered on a 90 s variable-time schedule. Rats were then given instrumental training to lever press for 50% SCM (100 μl) on a fixed-ratio (FR) schedule of reinforcement, with an initial 3 days on an FR-1 schedule (one press required per rewards) and an additional 3 days on an FR-3 schedule (three presses per rewards). These sessions lasted for 30 min or until 30 rewards were earned. The food restriction regimen was then suspended (ad lib home chow was restored) for the remainder of the study beginning immediately after the last FR-3 session. Rats were then given 3 days of progressive ratio (PR) testing in which 50% SCM could be earned on a schedule that progressed arithmetically in 1-press increments with three repetitions per step (beginning after the first increment), such that the response requirement for consecutive rewards was 1, 2, 2, 2, 3, 3, 3, 4, etc.

Longitudinal SCM testing

Initial SCM consumption and progressive ratio testing occurred when rats were approximately 3–4 months old (ending PND 101–153), after which they remained undisturbed in their home cages until they were given additional rounds of testing at approximately 6–7 months (ending PND 163–215) and 9–10 months (ending PND 237–289) of age. Rats continued to have unrestricted access to lab chow in their home cages throughout retesting. Rounds 1 and 2 were separated by an average of 67.5 days (range: 57–78), and rounds 2 and 3 were separated by an average of 81 days (range: 76–86). Each new round of testing began with a single 30-min session to refamiliarize them with free-consumption of 50% SCM from a stainless-steel spout at the rear chamber wall, which was followed by four daily free-consumption sessions with varying SCM concentrations, as during initial testing. Rats then received three sessions of PR testing (1 session/day) with 50% SCM delivered into the recessed food port in the front wall, as before. Statistical analyses were performed on data from the final (3rd) session of PR testing each round.

We also analyzed rats’ average body weight (g) during each of these three rounds of SCM testing.

Cognitive testing

Rats remained undisturbed in their home cages until reaching approximately 12–14 months of age (PND 379–424), when they were transferred to the UCLA Behavioral Testing Core for cognitive testing (approximately 130 days (range 124–136) after the last PR test). They were given 1 week to acclimate and were handled 5–7 days prior to further behavioral testing, which was conducted under low ambient white light conditions (∼20 lux) with additional red light to enhance video recording. Run order was fully randomized across sex and genotype conditions. All cognitive testing equipment and stimuli were cleaned and sanitized (70% ethanol) between animals and before and after each day of testing (Strike Bac germicidal cleaner). Video recordings were made of all test sessions and analyzed as described below by blinded experimenters.

Rats were first administered a spontaneous alternation test. Briefly, each rat was placed at the distal end of one of three arms (30 cm length from center door, 10 cm width, 20 cm height) of the Y-maze (Pathfinder Maze System; Lafayette Instrument Co; transparent plexiglass walls and black flooring) and allowed to voluntarily enter the center chamber (33 cm diameter; doors 12 × 10 cm), where they were then confined for a 30-s waiting period. At this point, all doors were opened and the rat was allowed to freely explore all three arms for 8 min, before being returned to their home cage. The total number of entries (both hind paws cross the entrance to arm) and spontaneous alternation% [total alternations/(total entries–2) × 100] were quantified. An alternation is defined as the successive entry into each of the three, without a repeat visit (so ABC, CBA, ACB, but not ABA, ACA, BCB, etc.) Spontaneous alternation% was arcsine transformed for statistical analysis. For these analyses, we excluded three rats (two male Tg and one male WT) that made 0 total alternations to reduce variability. These rats were included in subsequent analyses.

After a rest period of 5–7 days, rats were given 2 days of habituation (10 min) to an open field chamber (80 cm length × 40 cm width × 40 cm height; gray walls and black flooring). Each session began by placing the rat in the center of the chamber (facing a random direction). Locomotor activity (meters traveled) during these sessions was quantified using ANY-maze software (v. 5; Stoelting). On the following day, rats were tested for object in place and object recognition memory. This began with a 10-min training session, during which rats were placed in the center of the chamber (random direction) and allowed to freely explore two rat-sized objects (e.g., plastic soap dispenser, sippy cup, 500 ml Erlenmeyer flask, etc.) placed in adjacent quadrants on one end of the open field (10 cm from corner). Object identity and place assignments were randomized and counterbalanced with sex and genotype. No consistent baseline preferences were apparent. After a 15-min waiting period in the home cage, rats were returned to the center of the open field for 10 min to explore the same two objects, with one object remaining in the training quadrant and the other object moved to a novel quadrant (diagonal to the alternate object). The amount of time exploring each object (defined as orienting with nose within 3 cm of the object) during initial training and object-in-place testing was hand-scored by a blinded experimenter using a stopwatch. These data were used to compute a discrimination index of the relative time spent exploring the moved versus unmoved object [(moved–unmoved)/(moved + unmoved)]. This analysis focused on the first 5 min of the test, when investigatory behavior was greatest. After waiting an additional 15 min in the home cage, rats were returned to the center of the open field for a final 10-min test of object recognition. Briefly, the familiar object that had been moved remained located in the new quadrant and the other (previously unmoved) object was replaced with a novel object. Time spent exploring each object was again hand-scored and used to compute a discrimination index of relative time spent exploring the novel versus familiar object [[(novel–familiar)/(novel + familiar)] (first 5 min). Data from rats that spent less than 20 s actively exploring either object during training or testing were excluded from object-in-place (one male Tg and one male WT) and novel object recognition testing (one male Tg, same animal as for object-in-place). These rats differed from those excluded from spontaneous alternation testing.

Statistical analysis

Data were analyzed with JASP (0.18.3). Repeated ANOVAs were used to analyze hedonic feeding (between-subjects factors: genotype and sex; within-subject factors: time-bin/concentration and age), PR performance (between-subjects factors: genotype and sex; within-subject factor: age) and body weight (between-subjects factors: genotype and sex; within-subject factor: age). Two-way ANOVAs (genotype and sex) were used to analyze data from individual cognitive tests. Significance was set at p < 0.05 for all tests. Data from cohorts 1 and 2 were combined after preliminary analyses found no significant cohort × genotype or cohort × genotype × sex interactions. Pearson’s correlations were assessed to investigate associations between PR performance at 3–4 months and cognitive test performance at 12–14 months. Data are presented as means ± standard error of the means (SEMs). Final group Ns are provided for each analysis in the figure captions.

Results

We conducted a longitudinal analysis of hedonic and motivational responses to SCM rewards in male and female TgF344-AD rats at three ages spanning early to middle adulthood. Consistent with earlier reports (Bernaud et al., 2022; Hernandez et al., 2022; Rutkowsky et al., 2024; Srivastava et al., 2023), Figure 1A shows that TgF344-AD rats weighed more than wildtype controls (F1,36 = 12.16, p < 0.001), an effect that did not interact with sex or age (Fs < 1), though males weighed more than females (F1,36 = 739.71, p < 0.001) and gained weight faster over time (age: F2,72 = 429.17, p < 0.001; age x sex interaction: F2,72 = 95.24, p < 0.001; no other significant effects or interactions).

FIGURE 1
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Figure 1. (A) Mean free-feeding bodyweight (± SEM) for female (left) and male (right) TgF344-AD (Tg) and wildtype (WT) rats. Data are plotted across ages 3–4, 6–7, and 9–10 months as in subsequent panels. (B) Mean bodyweight-normalized sweet condensed milk (SCM) consumption (ml/kg; ± SEM) over successive 3 min bins during free-access tests conducted longitudinally across ages for male and female Tg and WT rats. Consumption rates have been collapsed across SCM concentration (four levels/age) to highlight the within-session pattern of intake over time. (C) Mean bodyweight-normalized SCM consumption (ml/kg; ± SEM) during the first 3 min of active SCM consumption across SCM concentration and across ages for male and female Tg and WT rats. (D) Mean bodyweight-normalized intake (ml/kg; ± SEM) of response-contingent SCM rewards during progressive ratio tests conducted across ages for male and female Tg and WT rats. Group sizes for all analyses were as follows: Female Tg (n = 11), Female WT (n = 11), Male Tg (n = 11), and Male WT (n = 7). ** p < 0.01, *** p < 0.001.

Figure 1B presents the temporal pattern of bodyweight-normalized SCM intake (ml/kg) within free-feeding consumption tests, collapsed across SCM concentrations, which shows that the rate of intake peaked early in the session before entering a steady decline phase as satiety developed. These data also reveal a sex- and age-dependent deficit in initial SCM intake that emerged as female Tg rats aged (age × genotype × sex × time bin: F18,648 = 3.14, p < 0.001). Importantly, the early phase of intake is predominantly driven by orosensory rewards mechanisms and therefore provides an assay of the emotional-hedonic response to taste stimuli (Davis, 1989). As in prior studies (Halbout et al., 2023; Halbout et al., 2024; Marshall et al., 2017), we isolated hedonic feeding behavior by computing SCM intake during the first 3 min of active feeding within each session (i.e., after first contact with SCM but before satiety induction). Consistent with this interpretation, Figure 1C shows that early intake increased with SCM solution concentration, or palatability (F3,108 = 61.35, p < 0.001) across all age periods (3–4 months: F3,108 = 8.51, p < 0.001, 6–7 months: F3,108 = 39.21, p < 0.001, 9–10 months: F3,108 = 32.96, p < 0.001). Early intake was higher in females (sex: F1,36 = 43.14, p < 0.001), particularly as rats aged (sex × age interaction: F2,72 = 6.00, p = 0.004), consistent with prior research (Feigin et al., 1987; Hankosky et al., 2018; Marshall et al., 2017; Tapia et al., 2019; Valenstein et al., 1967). More importantly, there was evidence of sex-dependent deficit in Tg group (genotype × sex interaction: F1,36 = 13.16; p < 0.001) that emerged over time (age × genotype × sex interaction: F2,72 = 10.79, p < 0.001) and varied with SCM concentration (age × genotype × sex × concentration: F6,216 = 3.01, p = 0.008). No deficit was observed at 3–4 months (genotype: F < 1; genotype × sex F1,36 = 1.83, p = 0.19) but was expressed in a sex-dependent manner at 6–7 months (genotype x sex: F1,36 = 9.94, p < 0.01; genotype x sex x concentration: F3,108 = 4.11, p < 0.01) and 9–10 months (genotype × sex: F1,36 = 20.69, p < 0.001; genotype × sex × concentration: F3,108 = 2.58, p = 0.057). Specifically, female Tg rats showed a progressive attenuation in SCM intake, relative to wildtypes, that was not apparent at 3–4 months (F1,20 = 1.14; p = 0.30) but was significant at 6–7 months (genotype: F1,20 = 20.30, p < 0.001; genotype x concentration: F3,60 = 4.34, p < 0.01) and 9–10 months (genotype: F1,20 = 20.35, p < 0.001; genotype x concentration: F3,60 = 2.13, p = 0.11). Male Tg rats did not significantly differ from wildtypes at 3–4 or 6–7 months (ps > 0.33) but consumed SCM at a marginally lower rate at 9–10 months (genotype: F1,16 = 4.12, p = 0.06).

Each assessment of hedonic feeding was followed by a round of instrumental PR testing to probe rats’ willingness to exert effort for SCM rewards. Once again, the data were normalized for variation in bodyweight (SCM earned on the PR task; ml/kg), though analyses performed on total presses or rewards earned produced similar results (data not shown). As shown in Figure 1D, we found evidence of a sex-dependent apathy-like effect in Tg rats (genotype × sex: F1,36 = 8.56, p = 0.006; genotype: F1,36 = 15.42, p < 0.001; sex: F1,36 = 31.81, p < 0.001), which was apparent across all age periods even though response levels dropped for all groups over time (age: F2,72 = 40.04, p < 0.001; interactions with age ps > 0.20). During the first round of testing, at 3–4 months, we observed a significant genotype effect (F1,36 = 13.53, p < 0.001) that interacted with sex (F1,36 = 6.43, p = 0.02), with female (p < 0.001) but not male (F1,16 = 2.16, p = 0.16) Tg rats earning less SCM through PR performance than sex- and age-matched wildtype controls. Similar effects were detected at 6–7 months (sex × genotype: F1,36 = 7.64, p = 0.01; genotype for females: F1,20 = 11.32, p < 0.01; genotype for males: F < 1) and 9–10 months (sex × genotype: F1,36 = 4.95, p = 0.03; genotype for females: F1,20 = 11.42, p < 0.01; genotype for males: F1,16 = 2.15, p = 0.16).

After reaching 12–14 months of age, the rats underwent a final round of behavioral testing to assess cognitive function. We first performed a test of spontaneous alternation, a measure of spatial working memory. Figures 2A, B show that Tg rats did not significantly differ from controls in total number of arm entries they made at test (genotype: F1,31 = 1.14, p = 0.30; sex: F1,31 = 34.13, p < 0.001; genotype x sex: F1,31 = 0.68, p = 0.42), but displayed a significant reduction in their tendency to spontaneously alternate between arms (F1,31 = 7.42; p = 0.01; sex: F1,31 = 6.01, p = 0.02; sex x genotype: F1,31 = 2.77, p = 0.11), indicating a deficit in spatial working memory.

FIGURE 2
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Figure 2. (A) Mean number of arm entries (± SEM; top) and (B) mean percentage of alternations (± SEM; bottom) in the Y-maze test for TgF344-AD [Tg: female (n = 11) and male (n = 9)] and Wildtype rats [WT: female (n = 11) and male (n = 4)]. (C) Mean (± SEM) distance traveled and (D) time in center during the first session of open field habituation for Tg [female (n = 11) and male (n = 11)] and WT rats [female (n = 11) and male (n = 5)]. (E) Schematic representation of design for object-in-place and object recognition testing (see text for procedural details). (F) Mean (± SEM) time spent exploring the two novel objects during the object-in-place training session and (G) the relative time spent exploring the object moved to a novel location at test [(discrimination index = (moved–unmoved)/(moved + unmoved)] (G) for Tg [female (n = 11) and male (n = 10)] and WT rats [female (n = 11) and male (n = 4)]. (H) Mean (± SEM) time spent exploring the two objects during object recognition training and (I) the percentage of total time spent exploring the novel object at test [(discrimination index = (novel–familiar)/(novel + familiar)] for Tg [female (n = 11) and male (n = 10)] and WT rats [female (n = 11) and male (n = 5)]. * p < 0.05, ** p < 0.01, *** p < 0.001.

Rats were then habituated to the open field that would be used in subsequent tests (see Figure 2E). As seen in Figure 2C, during the first habituation session, there was a non-significant trend indicating a sex-specific reduction in exploration in the Tg group (total distance traveled; genotype x sex: F1,34 = 3.35, p = 0.076; sex: F1,34 = 27.80, p < 0.001; genotype: F1,34 = 1.52, p = 0.23). Post hoc analysis (Holm corrected) indicated that female (p < 0.05) but not male (p > 0.7) Tg rats traveled less total distance than their respective controls. Moreover, regardless of sex, Tg rats spent less time in the center of the open field (genotype: F1,34 = 7.27, p = 0.01; sex and genotype x sex: Fs < 1), as shown in Figure 2D.

Rats were then trained on an object-in-place task, which began by allowing them to investigate two novel objects (A and B; see Figure 2E). Tg rats spent less time investigating these objects (genotype: F1,32 = 14.03, p < 0.001; sex: F1,32 = 1.45, p = 0.24; genotype x sex: F1,32 = 0.12; Figure 2F) but were not significantly impaired in selectively investigating the displaced object (Object B) during a subsequent object-in-place memory test (genotype and sex effects and genotype x sex interaction: Fs < 1; Figure 2G). This test session also served as training for object recognition memory. Although the Tg group spent less time exploring the two now familiar objects during this session (genotype: F1,33 = 4.34, p = 0.045; sex: F1,33 = 0.66, p = 0.42; sex x genotype: F1,33 = 1.80, p = 0.19; Figure 2H), they were unimpaired in exploring the novel object during the object recognition memory test (genotype and genotype x sex: Fs < 1; Figure 2I). However, it should be noted that males displayed generally poor performance during the latter test (sex: F1,33 = 17.36, p < 0.001), which, together with the relatively low final size in the wildtype male subgroup (n = 5), makes it difficult to draw conclusions about the effect of genotype in this sex.

We then assessed whether motivational deficits displayed during early adulthood predicted cognitive performance at middle age (Figure 3). PR performance (mg/kg) at 3–4 months was not correlated (Pearson’s, 2-tailed) with spontaneous alternation or novel object recognition scores at 12–14 months in any condition (Figure 3A). However, PR performance was positively correlated with object-in-place recognition memory in female rats, an overall association that was also observed in both Tg and WT female subgroups but not in either male subgroup (Figure 3B). Thus, for female rats, reduced motivation early in adulthood tended to predict poor memory for object locations later in life.

FIGURE 3
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Figure 3. (A) Summary of results from correlational analysis between progressive ratio (PR) performance at 3–4 months and cognitive test performance at 12–14 months. Significant relationships are in bold italic font. (B) Scatterplots and regression lines for each subgroup showing significant positive correlations between progressive ratio (PR) performance and object-in-place memory for female TgF344-AD and wildtype rats but not for males of either genotype.

Discussion

This longitudinal study examined the influence of sex and age on instrumental progressive ratio performance (motivation) and hedonic feeding behavior (emotion) in the TgF344-AD rat model. We observed motivational deficits as early as 3–4 months and hedonic deficits by 6–7 months, effects that were largely restricted to females. TgF344-AD rats also exhibited a cognitive deficit in spatial working memory as well as more widespread reductions in investigatory behavior when tested at 12–14 months.

Pathology associated with AD can begin many years before a clinical diagnosis is made (Braak et al., 2011; Vickers et al., 2016). During this lengthy prodromal phase, there may be evidence of more modest cognitive and executive deficits (Morris, 2005; Sperling et al., 2018) as well as a range of other neuropsychiatric symptoms, with apathy being the most common (Sherman et al., 2018). The core feature of apathy is diminished motivation, with symptoms impacting different domains, including loss of self-initiated goal-directed behavior or cognitive activity and blunted emotional reactivity (Robert et al., 2009). Apathy in AD patients is associated with reduced quality of life (Yeager and Hyer, 2008) and higher caregiver stress (Landes et al., 2001; Mukherjee et al., 2017), and apathy in the prodromal phase is associated with rapid disease progression (Feldman et al., 2007) and deficits in daily functioning (Tam et al., 2008).

Our findings add to a growing body of evidence that TgF344 rats and other rodent AD models display signs of apathy, including deficits in nest-building (Keszycki et al., 2023; Robinson et al., 2024), social interaction (Kosel et al., 2020), and spontaneous locomotor activity (Pardossi-Piquard et al., 2016). This latter finding mirrors clinical data linking low motor activity with apathy in Alzheimer’s patients (David et al., 2012), and is generally consistent with the reduced exploratory behavior displayed by TgF344-AD rats in the current study and similar findings in the literature (Galeano et al., 2014; Saré et al., 2020). There is also evidence that deficits in locomotor activity are more severe for female TgF344 AD rats (Saré et al., 2020) and AD mice (Bourgeois et al., 2018), which is also in keeping with our finding that female TgF344-AD rats showed less activity when first exploring an open field. While such findings may reflect an apathy-related deficit in exploratory drive (Batrancourt et al., 2019; Jackson et al., 2021), prior reports indicate that TgF344-AD rats exhibit heightened fear and anxiety behaviors (Hernandez et al., 2022; Pentkowski et al., 2022; Wu et al., 2020), which may interfere with their investigative activity. Indeed, as in other recent studies (Reitz et al., 2024; Wu et al., 2020), we found that TgF344-AD rats spent less time exploring the center of the open field, potentially reflecting an increase in anxiety-induced thigmotaxis.

Prior studies using the TgF344-AD rat model have also observed deficits in palatable food consumption and food-reinforced behaviors (Hernandez C. et al., 2024; Muñoz-Moreno et al., 2018; Tournier et al., 2021). For instance, Hernandez C. et al. (2024) compared these rats with wildtype controls on a progressive ratio task at approximately 8.5 months of age and found evidence of a sex-dependent motivational deficit that was greater in females. The current study bolsters this finding and demonstrates that this deficit arises as early as 3–4 months and persists longitudinally through at least middle adulthood (9–10 months). Our findings are also consistent with earlier work with 3xTg-AD mice showing that females exhibit more pronounced deficits in food-reinforced tasks (Fertan et al., 2019; Gür et al., 2019).

We assessed feeding and food motivation in the absence of food restriction to focus on hedonic reward processing and minimize the role of homeostatic (hunger) processes. It is therefore notable that Hernandez C. et al. (2024) found similar results in rats maintained on mild food restriction (85% free feeding body weight), indicating that the motivational impairment displayed by female TgF344-AD rats is robust and not heavily influenced by altered satiety/hunger processing, which helps address potential confounds related to their high body weight relative to age-matched WT females (Bernaud et al., 2022; Hernandez et al., 2022; Rutkowsky et al., 2024; Srivastava et al., 2023). Moreover, unlike in the current study, Hernandez C. et al. (2024) tested rats during the active phase of their daily light-dark cycle, suggesting that this variable is not a major factor regulating observed motivational deficits. Although prior studies with this model have found emotional and cognitive impairments regardless of whether rats were tested during active (Hernandez et al., 2022; Hernandez C. et al., 2024; Pentkowski et al., 2022) or rest phases (Bernaud et al., 2022; Tournier et al., 2021; Wu et al., 2020), systematic investigation of this issue may be warranted, particularly given evidence that TgF344-AD rats exhibit altered sleep/wake cycles (Kelberman et al., 2022; Kreuzer et al., 2020).

Consistent with prior research (Feigin et al., 1987; Hankosky et al., 2018; Marshall et al., 2017; Tapia et al., 2019; Valenstein et al., 1967), we found that WT female rats displayed higher levels of palatable food consumption and food-reinforced progressive ratio performance than age-matched WT males. Such findings are of particular interest given the increased prevalence of binge-eating and other eating disorders in females, which is thought to be at least partly mediated by ovarian hormone activity (Ma et al., 2020). It is therefore notable that deficits in feeding and food seeking were restricted to female TgF344-AD rats and appeared to counter the otherwise elevated levels of these behaviors in age-matched WT females, a pattern that was also apparent in the Hernandez C. et al. (2024) study. Further research will be needed to examine whether these deficits are regulated by progesterone and estrogen, which have been shown to protect against development of AD-like neuropathologies and cognitive impairment in female 3xTg-AD mice (Carroll et al., 2007).

Prior research may shed light on potential neural mechanisms underlying AD-related deficits in reward processing and motivated behavior. Hernandez C. et al. (2024) found that AD-like pathology in the prelimbic cortex and basolateral amygdala of TgF344-AD rats predicted deficits in reward optimization on an intertemporal choice task, although no links to motivation on the progressive ratio task were identified. Other studies suggest that motivational deficits in AD may relate to mesolimbic dopamine system dysfunction (Cordella et al., 2018). For instance, the Tg2576 transgenic AD mouse model shows evidence of ventral tegmental area dopamine neuron death and attenuated nucleus accumbens dopamine release by 6 months of age, which is accompanied by deficits in palatable food rewards processing and consumption (Nobili et al., 2017). Although that study used males exclusively, a similar deficit in mesolimbic dopamine release was observed in the APP/PSEN1 mouse model of AD with no indication of sex dependence (Consoli et al., 2021). Interestingly, TgF344-AD rats also show evidence of depressed dopamine release (Ceyzériat et al., 2021), and there is compelling clinical evidence of dopamine dysfunction in prodromal Alzheimer’s disease (D’Amelio et al., 2018; Sasaki, 2018). Future studies will be needed to determine whether dopamine dysfunction underlies the female-specific deficits in motivation and/or hedonic feeding behavior displayed by TgF344-AD rats in the current study. However, while dopamine plays a critical role in regulating effortful, motivated behavior (Ostlund et al., 2012; Salamone and Correa, 2012), it is not strongly involved in hedonic control over feeding behavior (Cannon and Palmiter, 2003; Marshall et al., 2018; Wassum et al., 2011), which raises the possibility that other, dopamine-independent mechanisms are also involved.

While there are reports to the contrary (Colombo et al., 2018), a recent meta-analysis found that apathy is more prevalent in males than females with AD or related dementias (Eikelboom et al., 2022). However, female AD patients have a higher prevalence of depression and other affective disorders (Eikelboom et al., 2022). This is notable since a major symptom of depression is anhedonia, or the inability to experience pleasure from normally rewarding activities, which can be difficult to distinguish from the affective dimension of apathy (Lanctôt et al., 2023; Starkstein et al., 2001). Indeed, attempts to operationalize apathy have emphasized the negative motivational and behavioral symptoms (i.e., reduced self-initiated, purposive behavior), with affective symptoms playing a secondary role in diagnosis (Robert et al., 2009). Even though the PR task used here involves the expression of a self-initiated, purposive action, it is motivated by a palatable food rewards and may therefore also reflect changes in hedonic reward processing. Our finding that female, but not male TgF344-AD rats, were impaired in both the PR task and the hedonic feeding task suggests a common reward processing deficit may underlie both effects as the most parsimonious account. The loss of intrinsically motivated actions, like exploring novel places or objects, may provide a more selective measure of apathy in rodents. Not only do AD patients with apathy show deficits in novelty processing and novelty-seeking behavior (Bastin et al., 2019; Chau et al., 2015; Daffner et al., 1992), similar deficits have been observed in transgenic rodent models of AD (Zufferey et al., 2013), including the TgF344-AD rats (Saré et al., 2020), supported by our observation of reduced exploratory behavior in the current study.

As noted above, we found that TgF344-AD rats displayed a sex-independent deficit in spontaneous alternation, an assay of spatial working memory, during tests conducted at an average of 13.5 months of age. Interestingly, prior research with this AD model have found deficits on this task at 24 months (Cohen et al., 2013) but not between 7 and 10 months (Reitz et al., 2024; Tournier et al., 2021), although 7 months-old TgF344-AD rats were found to be more vulnerable to impairment caused by adolescent ethanol exposure (Reitz et al., 2024). Such findings are consistent with other evidence of progressive cognitive impairment in this model (Berkowitz et al., 2018; Bernaud et al., 2022; Cohen et al., 2013). However, we did not detect significant deficits in object-in-place or novel object recognition memory. The literature on TgF344-AD rats using these tasks have mixed results, with some (Cohen et al., 2013; Galloway et al., 2018; Morrone et al., 2020) but not other studies (Chaney et al., 2021; Galloway et al., 2018; Goodman et al., 2021; Hernandez A. et al., 2024; Ratner et al., 2021; Wu et al., 2020) finding impairments. However, we did find evidence that reduced motivation for rewards early in adulthood predicted poor performance on the object-in-place task at middle age, an association that was apparent in WT and Tg females but not males of either genotype. Future research will be needed to explore this relationship, particularly given established links between apathy and cognitive dysfunction in AD (Delrieu et al., 2015; Johansson et al., 2020; Palmer et al., 2010; Pink et al., 2015; Richard et al., 2012; Robert et al., 2006; Starkstein et al., 2006). Importantly, we found no evidence that motivation was correlated with either object recognition or spontaneous alternation effects, which is in line with a similar finding by Hernandez C. et al. (2024).

Our longitudinal approach allowed us to track changes in hedonic feeding and motivation over time and assess links to later cognitive function, but this design also has limitations. For instance, we found that WT females increased their palatable food intake over time. The group specificity of this effect suggests that it was driven by sex- and age-dependent changes in hedonic processing, though it is possible that repeated experience with the task and SCM rewards had an influence. In contrast, all groups showed declining levels of PR performance over time. This lack of group-specificity suggests that rats, in general, learned to exert less effort for SCM rewards over repeated cycles of testing. Given this potential for learning-related behavioral change, we focused our analysis on whether the performance of TgF344-AD rats differed from age- and sex-matched WT controls, allowing us to control for task experience. Our longitudinal approach may have also had carry-over effects that impacted later cognitive testing, which should be considered when evaluating group differences (or lack thereof) on these measures.

In conclusion, our findings indicate that the rat TgF344-AD model exhibits sex-dependent motivational and hedonic deficits that manifest early in adulthood, which may relate to the prodromal apathy phenotype previously identified as a clinical risk factor for accelerated cognitive decline in AD. Future research is needed to establish underlying neural mechanisms and test interventions to reduce apathy and improve wellbeing in AD.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The animal study was approved by UCLA Institutional Animal Care and Use Committee. The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

SO: Conceptualization, Formal Analysis, Funding acquisition, Investigation, Supervision, Visualization, Writing – original draft. GC: Investigation, Writing – review and editing. AK: Investigation, Writing – review and editing. LL: Investigation, Writing – review and editing. IZ: Investigation, Writing – review and editing. SF: Conceptualization, Writing – review and editing. HL: Investigation, Writing – review and editing. NM: Conceptualization, Funding acquisition, Resources, Supervision, Writing – review and editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the NIH Grant #AG060752 (SO and NM), NIH R01AG066212 (SAF), and VA Merit 1 I01 BX005919 (SAF).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Generative AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

Alzheimer’s Association (2024). Alzhiemer’s disease facts and figures. Alzheimer’s Dement. 20, 3708–3821. doi: 10.1002/alz.13809

PubMed Abstract | Crossref Full Text | Google Scholar

Bastin, C., Delhaye, E., Moulin, C., and Barbeau, E. (2019). Novelty processing and memory impairment in Alzheimer’s disease: A review. Neurosci. Biobehav. Rev. 100, 237–249. doi: 10.1016/j.neubiorev.2019.02.021

PubMed Abstract | Crossref Full Text | Google Scholar

Batrancourt, B., Lecouturier, K., Ferrand-Verdejo, J., Guillemot, V., Azuar, C., Bendetowicz, D., et al. (2019). Exploration deficits under ecological conditions as a marker of apathy in frontotemporal dementia. Front. Neurol. 10:941. doi: 10.3389/fneur.2019.00941

PubMed Abstract | Crossref Full Text | Google Scholar

Berkowitz, L., Harvey, R., Drake, E., Thompson, S., and Clark, B. (2018). Progressive impairment of directional and spatially precise trajectories by TgF344-Alzheimer’s disease rats in the Morris Water Task. Sci. Rep. 8:16153. doi: 10.1038/s41598-018-34368-w

PubMed Abstract | Crossref Full Text | Google Scholar

Bernaud, V., Bulen, H., Peña, V., Koebele, S., Northup-Smith, S., Manzo, A., et al. (2022). Task-dependent learning and memory deficits in the TgF344-AD rat model of Alzheimer’s disease: Three key timepoints through middle-age in females. Sci. Rep. 12:14596. doi: 10.1038/s41598-022-18415-1

PubMed Abstract | Crossref Full Text | Google Scholar

Bourgeois, A., Lauritzen, I., Lorivel, T., Bauer, C., Checler, F., and Pardossi-Piquard, R. (2018). Intraneuronal accumulation of C99 contributes to synaptic alterations, apathy-like behavior, and spatial learning deficits in 3×TgAD and 2×TgAD mice. Neurobiol. Aging 71, 21–31. doi: 10.1016/j.neurobiolaging.2018.06.038

PubMed Abstract | Crossref Full Text | Google Scholar

Braak, H., Thal, D., Ghebremedhin, E., and Del Tredici, K. (2011). Stages of the pathologic process in Alzheimer disease: Age categories from 1 to 100 years. J. Neuropathol. Exp. Neurol. 70, 960–969. doi: 10.1097/NEN.0b013e318232a379

PubMed Abstract | Crossref Full Text | Google Scholar

Cannon, C., and Palmiter, R. (2003). Reward without dopamine. J. Neurosci. 23, 10827–10831. doi: 10.1523/JNEUROSCI.23-34-10827.2003

PubMed Abstract | Crossref Full Text | Google Scholar

Carroll, J., Rosario, E., Chang, L., Stanczyk, F., Oddo, S., LaFerla, F., et al. (2007). Progesterone and estrogen regulate Alzheimer-like neuropathology in female 3xTg-AD mice. J. Neurosci. 27, 13357–13365. doi: 10.1523/JNEUROSCI.2718-07.2007

PubMed Abstract | Crossref Full Text | Google Scholar

Carroll, J., Rosario, E., Kreimer, S., Villamagna, A., Gentzschein, E., Stanczyk, F., et al. (2010). Sex differences in β-amyloid accumulation in 3xTg-AD mice: Role of neonatal sex steroid hormone exposure. Brain Res. 1366, 233–245. doi: 10.1016/j.brainres.2010.10.009

PubMed Abstract | Crossref Full Text | Google Scholar

Ceyzériat, K., Gloria, Y., Tsartsalis, S., Fossey, C., Cailly, T., Fabis, F., et al. (2021). Alterations in dopamine system and in its connectivity with serotonin in a rat model of Alzheimer’s disease. Brain Commun. 3:fcab029. doi: 10.1093/braincomms/fcab029

PubMed Abstract | Crossref Full Text | Google Scholar

Chaney, A., Lopez-Picon, F., Serrière, S., Wang, R., Bochicchio, D., Webb, S., et al. (2021). Prodromal neuroinflammatory, cholinergic and metabolite dysfunction detected by PET and MRS in the TgF344-AD transgenic rat model of AD: A collaborative multi-modal study. Theranostics 11, 6644–6667. doi: 10.7150/thno.56059

PubMed Abstract | Crossref Full Text | Google Scholar

Chau, S., Herrmann, N., Eizenman, M., Chung, J., and Lanctôt, K. (2015). Exploring visual selective attention towards novel stimuli in Alzheimer’s disease patients. Dement. Geriatr. Cogn. Dis. Extra 5, 492–502. doi: 10.1159/000442383

PubMed Abstract | Crossref Full Text | Google Scholar

Chaudry, K., Ndukwe, L., Xie, P. A., Serrano, M. E., Figueiredo-Pereira, P., and Rockwell, O. (2022). Females outperform males in spatial learning despite increased amyloid plaques and microgliosis in a TgF344-AD rat model of Alzheimer’s disease. bioRxiv [Preprint] doi: 10.1101/2022.03.27.485975

Crossref Full Text | Google Scholar

Cohen, R., Rezai-Zadeh, K., Weitz, T., Rentsendorj, A., Gate, D., Spivak, I., et al. (2013). A transgenic Alzheimer rat with plaques, tau pathology, behavioral impairment, oligomeric aβ, and frank neuronal loss. J. Neurosci. 33, 6245–6256. doi: 10.1523/JNEUROSCI.3672-12.2013

PubMed Abstract | Crossref Full Text | Google Scholar

Colombo, D., Caltagirone, C., Padovani, A., Sorbi, S., Spalletta, G., Simoni, L., et al. (2018). Gender differences in neuropsychiatric symptoms in mild to moderate Alzheimer’s disease patients undergoing switch of cholinesterase inhibitors: A post hoc analysis of the evolution study. J. Womens Health 27, 1368–1377. doi: 10.1089/jwh.2017.6420

PubMed Abstract | Crossref Full Text | Google Scholar

Consoli, D., Brady, L., Bowman, A., Calipari, E., and Harrison, F. (2021). Ascorbate deficiency decreases dopamine release in gulo-/- and APP/PSEN1 mice. J. Neurochem. 157, 656–665. doi: 10.1111/jnc.15151

PubMed Abstract | Crossref Full Text | Google Scholar

Cordella, A., Krashia, P., Nobili, A., Pignataro, A., La Barbera, L., Viscomi, M., et al. (2018). Dopamine loss alters the hippocampus-nucleus accumbens synaptic transmission in the Tg2576 mouse model of Alzheimer’s disease. Neurobiol. Dis. 116, 142–154. doi: 10.1016/j.nbd.2018.05.006

PubMed Abstract | Crossref Full Text | Google Scholar

Daffner, K., Scinto, L., Weintraub, S., Guinessey, J., and Mesulam, M. (1992). Diminished curiosity in patients with probable Alzheimer’s disease as measured by exploratory eye movements. Neurology 42, 320–328. doi: 10.1212/wnl.42.2.320

PubMed Abstract | Crossref Full Text | Google Scholar

D’Amelio, M., Serra, L., and Bozzali, M. (2018). Ventral Tegmental Area in Prodromal Alzheimer’s Disease: Bridging the Gap between Mice and Humans. J. Alzheimers Dis. 63, 181–183. doi: 10.3233/JAD-180094

PubMed Abstract | Crossref Full Text | Google Scholar

David, R., Mulin, E., Friedman, L., Le Duff, F., Cygankiewicz, E., Deschaux, O., et al. (2012). Decreased daytime motor activity associated with apathy in Alzheimer disease: An actigraphic study. Am. J. Geriatr Psychiatry 20, 806–814. doi: 10.1097/JGP.0b013e31823038af

PubMed Abstract | Crossref Full Text | Google Scholar

Davis, J. (1989). The microstructure of ingestive behavior. Ann. N. Y. Acad. Sci. 575, 106–119. doi: 10.1111/j.1749-6632.1989.tb53236.x

PubMed Abstract | Crossref Full Text | Google Scholar

Davis, J., and Smith, G. (1992). Analysis of the microstructure of the rhythmic tongue movements of rats ingesting maltose and sucrose solutions. Behav. Neurosci. 106, 217–228. doi: 10.1037/0735-7044.106.1.217

Crossref Full Text | Google Scholar

Delrieu, J., Desmidt, T., Camus, V., Sourdet, S., Boutoleau-Bretonnière, C., Mullin, E., et al. (2015). Apathy as a feature of prodromal Alzheimer’s disease: An FDG-PET ADNI study. Int. J. Geriatr. Psychiatry 30, 470–477. doi: 10.1002/gps.4161

PubMed Abstract | Crossref Full Text | Google Scholar

Eikelboom, W., Pan, M., Ossenkoppele, R., Coesmans, M., Gatchel, J., Ismail, Z., et al. (2022). Sex differences in neuropsychiatric symptoms in Alzheimer’s disease dementia: A meta-analysis. Alzheimers Res. Ther. 14:48. doi: 10.1186/s13195-022-00991-z

PubMed Abstract | Crossref Full Text | Google Scholar

Feigin, M., Sclafani, A., and Sunday, S. (1987). Species differences in polysaccharide and sugar taste preferences. Neurosci. Biobehav. Rev. 11, 231–240. doi: 10.1016/s0149-7634(87)80031-3

PubMed Abstract | Crossref Full Text | Google Scholar

Feldman, H., Ferris, S., Winblad, B., Sfikas, N., Mancione, L., He, Y., et al. (2007). Effect of rivastigmine on delay to diagnosis of Alzheimer’s disease from mild cognitive impairment: The InDDEx study. Lancet Neurol. 6, 501–512. doi: 10.1016/S1474-4422(07)70109-6

PubMed Abstract | Crossref Full Text | Google Scholar

Ferretti, M., Iulita, M., Cavedo, E., Chiesa, P., Schumacher Dimech, A., Santuccione Chadha, A., et al. (2018). Sex differences in Alzheimer disease - the gateway to precision medicine. Nat. Rev. Neurol. 14, 457–469. doi: 10.1038/s41582-018-0032-9

PubMed Abstract | Crossref Full Text | Google Scholar

Fertan, E., Wong, A., Vienneau, N., and Brown, R. (2019). Age and sex differences in motivation and spatial working memory in 3xTg-AD mice in the Hebb-Williams maze. Behav. Brain Res. 370:111937. doi: 10.1016/j.bbr.2019.111937

PubMed Abstract | Crossref Full Text | Google Scholar

Galeano, P., Martino Adami, P., Do Carmo, S., Blanco, E., Rotondaro, C., Capani, F., et al. (2014). Longitudinal analysis of the behavioral phenotype in a novel transgenic rat model of early stages of Alzheimer’s disease. Front. Behav. Neurosci. 8:321. doi: 10.3389/fnbeh.2014.00321

PubMed Abstract | Crossref Full Text | Google Scholar

Gallagher, J., Minogue, A., and Lynch, M. (2013). Impaired performance of female APP/PS1 mice in the Morris water maze is coupled with increased Aβ accumulation and microglial activation. Neurodegener. Dis. 11, 33–41. doi: 10.1159/000337458

PubMed Abstract | Crossref Full Text | Google Scholar

Galloway, C., Ravipati, K., Singh, S., Lebois, E., Cohen, R., Levey, A., et al. (2018). Hippocampal place cell dysfunction and the effects of muscarinic M1 receptor agonism in a rat model of Alzheimer’s disease. Hippocampus 28, 568–585. doi: 10.1002/hipo.22961

PubMed Abstract | Crossref Full Text | Google Scholar

Goodman, A., Langner, B., Jackson, N., Alex, C., and McMahon, L. (2021). Heightened hippocampal β-Adrenergic receptor function drives synaptic potentiation and supports learning and memory in the TgF344-AD rat model during prodromal Alzheimer’s disease. J. Neurosci. 41, 5747–5761. doi: 10.1523/JNEUROSCI.0119-21.2021

PubMed Abstract | Crossref Full Text | Google Scholar

Gür, E., Fertan, E., Kosel, F., Wong, A., Balcı, F., and Brown, R. (2019). Sex differences in the timing behavior performance of 3xTg-AD and wild-type mice in the peak interval procedure. Behav. Brain Res. 360, 235–243. doi: 10.1016/j.bbr.2018.11.047

PubMed Abstract | Crossref Full Text | Google Scholar

Halbout, B., Hutson, C., Agrawal, S., Springs, Z., and Ostlund, S. (2024). Differential effects of acute and prolonged morphine withdrawal on motivational and goal-directed control over reward-seeking behaviour. Addict. Biol. 29:e13393. doi: 10.1111/adb.13393

PubMed Abstract | Crossref Full Text | Google Scholar

Halbout, B., Hutson, C., Hua, L., Inshishian, V., Mahler, S., and Ostlund, S. (2023). Long-term effects of THC exposure on reward learning and motivated behavior in adolescent and adult male rats. Psychopharmacology 240, 1151–1167. doi: 10.1007/s00213-023-06352-4

PubMed Abstract | Crossref Full Text | Google Scholar

Hankosky, E., Westbrook, S., Haake, R., Marinelli, M., and Gulley, J. (2018). Reduced sensitivity to reinforcement in adolescent compared to adult Sprague-Dawley rats of both sexes. Psychopharmacology 235, 861–871. doi: 10.1007/s00213-017-4804-5

PubMed Abstract | Crossref Full Text | Google Scholar

Hemonnot, A., Hua, J., Ulmann, L., and Hirbec, H. (2022). Microglia in Alzheimer disease: Well-known targets and new opportunities. Front. Aging Neurosci. 11:233. doi: 10.3389/fnagi.2019.00233

PubMed Abstract | Crossref Full Text | Google Scholar

Hernandez, A., Parker, E., Babar, M., Banerjee, A., Ding, S., Simley, A., et al. (2024). Microbiome-driven alterations in metabolic pathways and impaired cognition in aged female TgF344-AD rats. Aging Brain 5:100119. doi: 10.1016/j.nbas.2024.100119

PubMed Abstract | Crossref Full Text | Google Scholar

Hernandez, C., Jackson, N., Hernandez, A., and McMahon, L. (2022). Impairments in fear extinction memory and basolateral amygdala plasticity in the TgF344-AD rat model of Alzheimer’s disease are distinct from nonpathological aging. eNeuro 9:ENEURO.181–ENEURO.122. doi: 10.1523/ENEURO.0181-22.2022

PubMed Abstract | Crossref Full Text | Google Scholar

Hernandez, C., McCuiston, M., Davis, K., Halls, Y., Jackson, N. L., Carcamo dal Zotto, JP, et al. (2024). Brain Behav. Immun. Health 39:100798. doi: 10.1016/j.bbih.2024.100798

PubMed Abstract | Crossref Full Text | Google Scholar

Higgs, S., and Cooper, S. (1998). Evidence for early opioid modulation of licking responses to sucrose and intralipid: A microstructural analysis in the rat. Psychopharmacology 139, 342–355. doi: 10.1007/s002130050725

PubMed Abstract | Crossref Full Text | Google Scholar

Hongisto, K., Hallikainen, I., Selander, T., Törmälehto, S., Väätäinen, S., Martikainen, J., et al. (2018). Quality of Life in relation to neuropsychiatric symptoms in Alzheimer’s disease: 5-year prospective ALSOVA cohort study. Int. J. Geriatr. Psychiatry 33, 47–57. doi: 10.1002/gps.4666

PubMed Abstract | Crossref Full Text | Google Scholar

Irvine, K., Laws, K., Gale, T., and Kondel, T. (2012). Greater cognitive deterioration in women than men with Alzheimer’s disease: A meta analysis. J. Clin. Exp. Neuropsychol. 34, 989–998. doi: 10.1080/13803395.2012.712676

PubMed Abstract | Crossref Full Text | Google Scholar

Jackson, M., Lightman, S., Gilmour, G., Marston, H., and Robinson, E. (2021). Evidence for deficits in behavioural and physiological responses in aged mice relevant to the psychiatric symptom of apathy. Brain Neurosci. Adv. 5:23982128211015110. doi: 10.1177/23982128211015110

PubMed Abstract | Crossref Full Text | Google Scholar

Johansson, M., Stomrud, E., Lindberg, O., Westman, E., Johansson, P., van Westen, D., et al. (2020). Apathy and anxiety are early markers of Alzheimer’s disease. Neurobiol. Aging 85, 74–82. doi: 10.1016/j.neurobiolaging.2019.10.008

PubMed Abstract | Crossref Full Text | Google Scholar

Kelberman, M., Anderson, C., Chlan, E., Rorabaugh, J., McCann, K., and Weinshenker, D. (2022). Consequences of hyperphosphorylated tau in the locus coeruleus on behavior and cognition in a rat model of Alzheimer’s disease. J. Alzheimers Dis. 86, 1037–1059. doi: 10.3233/JAD-215546

PubMed Abstract | Crossref Full Text | Google Scholar

Keszycki, R., Rodriguez, G., Dunn, J., Locci, A., Orellana, H., Haupfear, I., et al. (2023). Characterization of apathy-like behaviors in the 5xFAD mouse model of Alzheimer’s disease. Neurobiol. Aging 126, 113–122. doi: 10.1016/j.neurobiolaging.2023.02.012

PubMed Abstract | Crossref Full Text | Google Scholar

Kosel, F., Pelley, J., and Franklin, T. (2020). Behavioural and psychological symptoms of dementia in mouse models of Alzheimer’s disease-related pathology. Neurosci. Biobehav. Rev. 112, 634–647. doi: 10.1016/j.neubiorev.2020.02.012

PubMed Abstract | Crossref Full Text | Google Scholar

Kreuzer, M., Keating, G., Fenzl, T., Härtner, L., Sinon, C., Hajjar, I., et al. (2020). Sleep/wake behavior and EEG signatures of the TgF344-AD rat model at the prodromal stage. Int. J. Mol. Sci. 21:9290. doi: 10.3390/ijms21239290

PubMed Abstract | Crossref Full Text | Google Scholar

Lanctôt, K., Ismail, Z., Bawa, K., Cummings, J., Husain, M., Mortby, M., et al. (2023). Distinguishing apathy from depression: A review differentiating the behavioral, neuroanatomic, and treatment-related aspects of apathy from depression in neurocognitive disorders. Int. J. Geriatr. Psychiatry. 38:e5882. doi: 10.1002/gps.5882

PubMed Abstract | Crossref Full Text | Google Scholar

Landes, A., Sperry, S., Strauss, M., and Geldmacher, D. (2001). Apathy in Alzheimer’s disease. J. Am. Geriatr. Soc. 49, 1700–1707. doi: 10.1046/j.1532-5415.2001.49282.x

PubMed Abstract | Crossref Full Text | Google Scholar

Le Heron, C., Holroyd, C., Salamone, J., and Husain, M. (2019). Brain mechanisms underlying apathy. J. Neurol. Neurosurg. Psychiatry 90, 302–312. doi: 10.1136/jnnp-2018-318265

PubMed Abstract | Crossref Full Text | Google Scholar

Leung, D., Chan, W., Spector, A., and Wong, G. (2021). Prevalence of depression, anxiety, and apathy symptoms across dementia stages: A systematic review and meta-analysis. Int. J. Geriatr. Psychiatry 36, 1330–1344. doi: 10.1002/gps.5556

PubMed Abstract | Crossref Full Text | Google Scholar

Ma, R., Mikhail, M., Culbert, K., Johnson, A., Sisk, C., and Klump, K. (2020). Ovarian hormones and reward processes in palatable food intake and binge eating. Physiology 35, 69–78. doi: 10.1152/physiol.00013.2019

PubMed Abstract | Crossref Full Text | Google Scholar

Marin, R. (1991). Apathy: A neuropsychiatric syndrome. J. Neuropsychiatry Clin. Neurosci. 3, 243–254. doi: 10.1176/jnp.3.3.243

PubMed Abstract | Crossref Full Text | Google Scholar

Marshall, A., Halbout, B., Liu, A., and Ostlund, S. (2018). Contributions of Pavlovian incentive motivation to cue-potentiated feeding. Sci. Rep. 8:2766. doi: 10.1038/s41598-018-21046-0

PubMed Abstract | Crossref Full Text | Google Scholar

Marshall, A., Liu, A., Murphy, N., Maidment, N., and Ostlund, S. (2017). Sex-specific enhancement of palatability-driven feeding in adolescent rats. PLoS One 12:e0180907. doi: 10.1371/journal.pone.0180907

PubMed Abstract | Crossref Full Text | Google Scholar

Massimo, L., and Evans, L. (2014). Differentiating subtypes of apathy to improve person-centered care in frontotemporal degeneration. J. Gerontol. Nurs. 40, 58–65. doi: 10.3928/00989134-20140827-01

PubMed Abstract | Crossref Full Text | Google Scholar

Morris, J. (2005). Early-stage and preclinical Alzheimer disease. Alzheimer Dis. Assoc. Disord. 19, 163–165. doi: 10.1097/01.wad.0000184005.22611.cc

PubMed Abstract | Crossref Full Text | Google Scholar

Morrone, C., Bazzigaluppi, P., Beckett, T., Hill, M., Koletar, M., Stefanovic, B., et al. (2020). Regional differences in Alzheimer’s disease pathology confound behavioural rescue after amyloid-β attenuation. Brain 143, 359–373. doi: 10.1093/brain/awz371

PubMed Abstract | Crossref Full Text | Google Scholar

Mukherjee, A., Biswas, A., Roy, A., Biswas, S., Gangopadhyay, G., and Das, S. (2017). Behavioural and psychological symptoms of dementia: Correlates and impact on caregiver distress. Dement. Geriatr. Cogn. Dis. Extra 7, 354–365. doi: 10.1159/000481568

PubMed Abstract | Crossref Full Text | Google Scholar

Muñoz-Moreno, E., Tudela, R., López-Gil, X., and Soria, G. (2018). Early brain connectivity alterations and cognitive impairment in a rat model of Alzheimer’s disease. Alzheimers Res. Ther. 10:16. doi: 10.1186/s13195-018-0346-2

PubMed Abstract | Crossref Full Text | Google Scholar

Nobili, A., Latagliata, E., Viscomi, M., Cavallucci, V., Cutuli, D., Giacovazzo, G., et al. (2017). Dopamine neuronal loss contributes to memory and reward dysfunction in a model of Alzheimer’s disease. Nat. Commun. 8:14727. doi: 10.1038/ncomms14727

PubMed Abstract | Crossref Full Text | Google Scholar

Ostlund, S., Kosheleff, A., and Maidment, N. (2012). Relative response cost determines the sensitivity of instrumental reward seeking to dopamine receptor blockade. Neuropsychopharmacology 37, 2653–2660. doi: 10.1038/npp.2012.129

PubMed Abstract | Crossref Full Text | Google Scholar

Palmer, K., Di Iulio, F., Varsi, A., Gianni, W., Sancesario, G., Caltagirone, C., et al. (2010). Neuropsychiatric predictors of progression from amnestic-mild cognitive impairment to Alzheimer’s disease: The role of depression and apathy. J. Alzheimers Dis. 20, 175–183. doi: 10.3233/JAD-2010-1352

PubMed Abstract | Crossref Full Text | Google Scholar

Pardossi-Piquard, R., Lauritzen, I., Bauer, C., Sacco, G., Robert, P., and Checler, F. (2016). Influence of genetic background on apathy-like behavior in triple transgenic AD mice. Curr. Alzheimer Res. 13, 942–949. doi: 10.2174/1567205013666160404120106

PubMed Abstract | Crossref Full Text | Google Scholar

Pentkowski, N., Bouquin, S., Maestas-Olguin, C., Villasenor, Z., and Clark, B. (2022). Differential effects of chronic stress on anxiety-like behavior and contextual fear conditioning in the TgF344-AD rat model of Alzheimer’s disease. Behav. Brain Res. 418:113661. doi: 10.1016/j.bbr.2021.113661

PubMed Abstract | Crossref Full Text | Google Scholar

Pink, A., Stokin, G., Bartley, M., Roberts, R., Sochor, O., Machulda, M., et al. (2015). Neuropsychiatric symptoms, APOE ε4, and the risk of incident dementia: A population-based study. Neurology 84, 935–943. doi: 10.1212/WNL.0000000000001307

PubMed Abstract | Crossref Full Text | Google Scholar

Ratner, M., Downing, S., Guo, O., Odamah, K., Stewart, T., Kumaresan, V., et al. (2021). Prodromal dysfunction of α5GABA-A receptor modulated hippocampal ripples occurs prior to neurodegeneration in the TgF344-AD rat model of Alzheimer’s disease. Heliyon 7:e07895. doi: 10.1016/j.heliyon.2021.e07895

PubMed Abstract | Crossref Full Text | Google Scholar

Reitz, N., Nunes, P., and Savage, L. (2024). Exercise leads to sex-specific recovery of behavior and pathological AD markers following adolescent ethanol exposure in the TgF344-AD model. Front. Behav. Neurosci. 18:1448691. doi: 10.3389/fnbeh.2024.1448691

PubMed Abstract | Crossref Full Text | Google Scholar

Richard, E., Schmand, B., Eikelenboom, P., Yang, S., Ligthart, S., Moll van Charante, E. P., et al. (2012). Symptoms of apathy are associated with progression from mild cognitive impairment to Alzheimer’s disease in non-depressed subjects. Dement. Geriatr. Cogn. Disord. 33, 204–209. doi: 10.1159/000338239

PubMed Abstract | Crossref Full Text | Google Scholar

Robert, P., Berr, C., Volteau, M., Bertogliati, C., Benoit, M., Sarazin, M., et al. (2006). Apathy in patients with mild cognitive impairment and the risk of developing dementia of Alzheimer’s disease: A one-year follow-up study. Clin. Neurol. Neurosurg. 108, 733–736. doi: 10.1016/j.clineuro.2006.02.003

PubMed Abstract | Crossref Full Text | Google Scholar

Robert, P., Onyike, C., Leentjens, A., Dujardin, K., Aalten, P., Starkstein, S., et al. (2009). Proposed diagnostic criteria for apathy in Alzheimer’s disease and other neuropsychiatric disorders. Eur. Psychiatry 24, 98–104. doi: 10.1016/j.eurpsy.2008.09.001

PubMed Abstract | Crossref Full Text | Google Scholar

Robinson, L., Dreesen, E., Mondesir, M., Harrington, C., Wischik, C., and Riedel, G. (2024). Apathy-like behaviour in tau mouse models of Alzheimer’s disease and frontotemporal dementia. Behav. Brain Res. 456:114707. doi: 10.1016/j.bbr.2023.114707

PubMed Abstract | Crossref Full Text | Google Scholar

Rutkowsky, J., Roland, Z., Valenzuela, A., Nguyen, A., Park, H., Six, N., et al. (2024). The impact of continuous and intermittent ketogenic diets on cognitive behavior, motor function, and blood lipids in TgF344-AD rats. Aging 16, 5811–5828. doi: 10.18632/aging.205741

PubMed Abstract | Crossref Full Text | Google Scholar

Salamone, J., and Correa, M. (2012). The mysterious motivational functions of mesolimbic dopamine. Neuron 76, 470–485. doi: 10.1016/j.neuron.2012.10.021

PubMed Abstract | Crossref Full Text | Google Scholar

Saré, R., Cooke, S., Krych, L., Zerfas, P., Cohen, R., and Smith, C. (2020). Behavioral phenotype in the TgF344-AD rat model of Alzheimer’s disease. Front. Neurosci. 14:601. doi: 10.3389/fnins.2020.00601

PubMed Abstract | Crossref Full Text | Google Scholar

Sasaki, S. (2018). High prevalence of parkinsonism in patients with MCI or mild Alzheimer’s disease. Alzheimer’s Dement. 14, 1615–1622. doi: 10.1016/j.jalz.2018.06.3054

PubMed Abstract | Crossref Full Text | Google Scholar

Sherman, C., Liu, C., Herrmann, N., and Lanctôt, K. (2018). Prevalence, neurobiology, and treatments for apathy in prodromal dementia. Int. Psychogeriatr. 30, 177–184. doi: 10.1017/S1041610217000527

PubMed Abstract | Crossref Full Text | Google Scholar

Sinforiani, E., Citterio, A., Zucchella, C., Bono, G., Corbetta, S., Merlo, P., et al. (2010). Impact of gender differences on the outcome of Alzheimer’s disease. Dement. Geriatr. Cogn. Disord. 30, 147–154. doi: 10.1159/000318842

PubMed Abstract | Crossref Full Text | Google Scholar

Sperling, R., Aisen, P., Beckett, L., Bennett, D., Craft, S., Fagan, A., et al. (2018). Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the national institute on aging-Alzheimer’s association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement. 7, 280–292. doi: 10.1016/j.jalz.2011.03.003

PubMed Abstract | Crossref Full Text | Google Scholar

Srivastava, H., Lasher, A., Nagarajan, A., and Sun, L. (2023). Sexual dimorphism in the peripheral metabolic homeostasis and behavior in the TgF344-AD rat model of Alzheimer’s disease. Aging Cell 22:e13854. doi: 10.1111/acel.13854

PubMed Abstract | Crossref Full Text | Google Scholar

Starkstein, S., Jorge, R., Mizrahi, R., and Robinson, R. G. (2006). A prospective longitudinal study of apathy in Alzheimer’s disease. J. Neurol. Neurosurg. Psychiatry 77, 8–11. doi: 10.1136/jnnp.2005.069575

PubMed Abstract | Crossref Full Text | Google Scholar

Starkstein, S., Petracca, G., Chemerinski, E., and Kremer, J. (2001). Syndromic validity of apathy in Alzheimer’s disease. Am. J. Psychiatry 158, 872–877. doi: 10.1176/appi.ajp.158.6.872

PubMed Abstract | Crossref Full Text | Google Scholar

Tam, C., Lam, L., Lui, V., Chan, W., Chan, S., Chiu, H., et al. (2008). Clinical correlates of functional performance in community-dwelling Chinese older persons with mild cognitive impairment. Int. Psychogeriatr. 20, 1059–1070. doi: 10.1017/S1041610208007345

PubMed Abstract | Crossref Full Text | Google Scholar

Tapia, M., Lee, J., Weise, V., Tamasi, A., and Will, M. (2019). Sex differences in hedonic and homeostatic aspects of palatable food motivation. Behav. Brain Res. 359, 396–400. doi: 10.1016/j.bbr.2018.11.023

PubMed Abstract | Crossref Full Text | Google Scholar

Tournier, B., Barca, C., Fall, A., Gloria, Y., Meyer, L., Ceyzériat, K., et al. (2021). Spatial reference learning deficits in absence of dysfunctional working memory in the TgF344-AD rat model of Alzheimer’s disease. Genes Brain Behav. 20:e12712. doi: 10.1111/gbb.12712

PubMed Abstract | Crossref Full Text | Google Scholar

Valenstein, V. C., Cox, J. W., and Kakolewski, E. S. (1967). Further studies of sex differences in taste preferences with sweet solutions. Psychol. Rep. 20, 1231–1234. doi: 10.1126/science.156.3777.942

PubMed Abstract | Crossref Full Text | Google Scholar

Vickers, J., Mitew, S., Woodhouse, A., Fernandez-Martos, C., Kirkcaldie, M., Canty, A., et al. (2016). Defining the earliest pathological changes of Alzheimer’s disease. Curr. Alzheimer Res. 13, 281–287. doi: 10.2174/1567205013666151218150322

PubMed Abstract | Crossref Full Text | Google Scholar

Wassum, K., Ostlund, S., Balleine, B., and Maidment, N. (2011). Differential dependence of Pavlovian incentive motivation and instrumental incentive learning processes on dopamine signaling. Learn. Mem. 18, 475–483. doi: 10.1101/lm.2229311

PubMed Abstract | Crossref Full Text | Google Scholar

Wu, C., Yang, L., Li, Y., Dong, Y., Yang, B., Tucker, L., et al. (2020). Effects of exercise training on anxious-depressive-like behavior in alzheimer rat. Med. Sci. Sports Exerc. 52, 1456–1469. doi: 10.1249/MSS.0000000000002294

PubMed Abstract | Crossref Full Text | Google Scholar

Yang, J., Wang, Z., Cai, H., Yuan, L., Hu, M., Wu, M., et al. (2018). Sex differences in neuropathology and cognitive behavior in APP/PS1/tau triple-transgenic mouse model of Alzheimer’s disease. Neurosci. Bull. 34, 736–746. doi: 10.1007/s12264-018-0268-9

PubMed Abstract | Crossref Full Text | Google Scholar

Yeager, C., and Hyer, L. (2008). Apathy in dementia: Relations with depression, functional competence, and quality of life. Psychol. Rep. 102, 718–722. doi: 10.2466/pr0.102.3.718-722

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, Q., Tan, L., Wang, H., Jiang, T., Tan, M., Tan, L., et al. (2016). The prevalence of neuropsychiatric symptoms in Alzheimer’s disease: Systematic review and meta-analysis. J. Affect. Disord. 190, 264–271. doi: 10.1016/j.jad.2015.09.069

PubMed Abstract | Crossref Full Text | Google Scholar

Zufferey, V., Vallet, P., Moeri, M., Moulin-Sallanon, M., Piotton, F., Marin, P., et al. (2013). Maladaptive exploratory behavior and neuropathology of the PS-1 P117L Alzheimer transgenic mice. Brain Res. Bull. 94, 17–22. doi: 10.1016/j.brainresbull.2013.01.011

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: Alzheimer’s, apathy, anhedonia, dementia, avolition

Citation: Ostlund SB, Chen G, Kosheleff A, Lueptow LM, Zhuravka I, Frautschy SA, Lam HA and Maidment NT (2025) Early emergence of motivational and hedonic feeding deficits in the TgF344-AD rat model of Alzheimer’s disease. Front. Aging Neurosci. 17:1572956. doi: 10.3389/fnagi.2025.1572956

Received: 07 February 2025; Accepted: 08 April 2025;
Published: 28 April 2025.

Edited by:

Enzo Emanuele, 2E Science, Italy

Reviewed by:

Alessandra Bonito-Oliva, The Rockefeller University, United States
Caesar Miguel Hernandez, University of Alabama at Birmingham, United States
Lianne Strachan, University of Aberdeen, United Kingdom

Copyright © 2025 Ostlund, Chen, Kosheleff, Lueptow, Zhuravka, Frautschy, Lam and Maidment. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sean B. Ostlund, c29zdGx1bmRAdWNpLmVkdQ==; Nigel T.Maidment, bm1haWRtZW5AdWNsYS5lZHU=

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