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ORIGINAL RESEARCH article

Front. Psychol., 06 August 2025

Sec. Cognition

Volume 16 - 2025 | https://doi.org/10.3389/fpsyg.2025.1589756

This article is part of the Research TopicUnderstanding PTSD's Impact on Cognitive and Neurophysiological Functioning: A Comprehensive AnalysisView all articles

Scene construction deficits in adolescent PTSD are in sensory, rather than spatial, imagery

  • 1Department of Psychology, University of Toronto St. George, Toronto, ON, Canada
  • 2Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
  • 3Department of Psychiatry, University of Toronto St. George, Toronto, ON, Canada

Introduction: Post-traumatic stress disorder (PTSD) is characterized by memory and imagery disturbances, ascribed in part to structural and functional hippocampal abnormalities. These include impaired mental simulation of past and future events, as well as deficits in imagining novel, neutral, spatially coherent scenes (“scene construction”). Structural hippocampal differences are less consistently found in adolescent PTSD; however, deficits in recalling specific autobiographical memories have been noted.

Methods: We examined scene construction ability in adolescents with PTSD, a presumably hippocampal-dependent process. Forty adolescents were recruited through the community: 26 with diverse trauma exposure (7 with PTSD, 19 without PTSD), and 14 non-trauma-exposed healthy controls. Scene construction performance was compared across groups using non-parametric ANOVAs and was related to PTSD symptom severity regardless of group membership using linear regressions.

Results: No differences in global scene construction performance were found; however, adolescents with PTSD imagined a smaller proportion of sensory details than control groups. Cognitive ability predicted several aspects of scene construction performance, rather than PTSD severity, as had been expected based on the adult literature. Nonetheless, those higher in avoidance symptoms imagined more person-related details, and trauma-exposed participants also reported feeling more present within their imagined scenes compared to healthy non-trauma-exposed controls.

Discussion: Together, these results suggest that hippocampal-dependent deficits in scene construction as seen in adults are not apparent in adolescence, however, changes in sensory imagery are. These findings provide broader insights into PTSD-related cognitive changes during development and inform interventions for this population that focus on sensory experiencing to promote embodiment, even within one’s “mind’s eye”.

1 Introduction

Adolescence has been identified as a period during which youth are at a greater risk for exposure to trauma and, therefore, at greater risk for developing PTSD (Kilpatrick et al., 2003). In fact, most adolescents experience a traumatic event by the age of sixteen (Copeland et al., 2007; McLaughlin et al., 2013). Adolescent PTSD is associated with memory disturbances, such as the hallmark symptom of intrusive re-experiencing of past traumatic events. However, the research on the umbrella cognitive function of mental simulation—defined as the ability to bring to mind alternate temporal, spatial, or hypothetical realities—is limited and inconsistent. The goal of the current study was to examine one form of mental simulation in adolescent PTSD called scene construction (Hassabis and Maguire, 2007). This process involves mentally constructing novel, neutral scenes and has recently been found to be impaired in adult-onset PTSD, which was associated with having smaller hippocampal volumes (Marlatte et al., 2022). As reviewed below, while hippocampal structural changes associated with PTSD may not be evident in adolescence, behavioral deficits in hippocampal-dependent processing are still observed. Thus, a behavioral examination of scene construction performance in adolescent PTSD is warranted.

To date, most studies on mental simulation ability in adolescents with PTSD have focused on impairments in future thinking. Future thinking impairments may be a critical factor in the development of PTSD as deficits are associated with cognitive and behavioral changes that can lead to either trauma exposure or the later development of psychopathology. Conducting more high-risk behavior is common in adolescence (Nooner et al., 2012) and may be related to experiencing a greater number of traumatic events (Layne et al., 2014). Risky behavior is also associated with (i) spending less time thinking about the future, including setting goals and plans (having a “future orientation”; Johnson et al., 2014), as well as (ii) impairments in vividly imagining future personal events (“episodic future thinking”; Bromberg et al., 2015). Adolescents who are less future-oriented also show greater feelings of hopelessness, lower overall well-being, and a higher likelihood to utilize maladaptive coping skills (Chua et al., 2015; Mac Giollabhui et al., 2018) which can increase the likelihood of developing psychopathology after trauma exposure. Impairments in mental simulation more broadly, including both past and future personal events, are also present in adulthood if PTSD is acquired (Brown et al., 2013, 2014; Sutherland and Bryant, 2007) such that simulated events may be lacking specific contextual information and therefore be “over-general”. Children and adolescents exposed to trauma also report over-generalized autobiographical memories (De Decker et al., 2003; Nixon et al., 2013; Crane et al., 2014), although findings are at times inconsistent (for review, see Hitchcock et al., 2014). Despite the potential relationship between the development of trauma-related psychopathology and deficits in mental simulation, including future episodic thinking, to our knowledge, it has not yet been examined directly in adolescents with PTSD.

Although there is limited and mixed behavioral research on mental simulation in adolescent PTSD, mental simulation ability involves neural structures commonly associated with the disorder, such as fronto-limbic circuits that include the hippocampus and ventral medial prefrontal cortex (vmPFC; Ciaramelli et al., 2021; McCormick et al., 2018). Although perspectives differ on exactly how the hippocampus supports mental simulation, there is broad agreement that it is critical for constructing mental representations composed of multiple elements (Hassabis and Maguire, 2007; Olsen et al., 2012; Schacter and Addis, 2007) through connections with the vmPFC (Campbell et al., 2018; McCormick et al., 2020; Monk et al., 2020). One paradigm specifically assesses the ability to construct multimodal scene imagery, defined as naturalistic and spatially coherent representations typically populated with objects (“scene construction”; Hassabis et al., 2007). Unlike other kinds of mental simulation, such as past or future episodic thinking, which are more explicitly tied to specific time orientations, scene construction may be less temporally constrained (i.e., involving imagining both personal future and fictitious scenarios). Nevertheless, patients with lesions to either the hippocampus (Hassabis et al., 2007) or vmPFC (Bertossi et al., 2016) have been shown to be profoundly impaired at imagining such detail-rich and spatially coherent scenes. Adults with PTSD have been found to show similar impairments, with more severe scene construction deficits being associated with smaller hippocampal volumes (Marlatte et al., 2022). This aligns with previous literature on adult PTSD and mental simulation more broadly, in which reduced hippocampal volumes are consistently noted (Karl et al., 2006; Kitayama et al., 2005; Logue et al., 2018; Woon et al., 2010) and are thought to contribute to the frequently reported deficits in episodic memory and future thinking (Brown et al., 2013, 2014; Kleim et al., 2014; Kleim and Ehlers, 2008; Ono et al., 2016; Sutherland and Bryant, 2007).

Although reduced hippocampal volumes are commonly reported in adults with PTSD, evidence in childhood and adolescence are mixed: some studies note smaller overall hippocampal (Carrión et al., 2007) and subregion volumes (Postel et al., 2019) in children and adolescents with PTSD, whereas other studies have noted no differences (Ahmed et al., 2012; Carrión et al., 2001; De Bellis et al., 2002; Morey et al., 2016) or even larger volumes in those with PTSD (Tupler and De Bellis, 2006). A meta-analysis of hippocampal volumes in both children and adults who experienced childhood maltreatment suggests PTSD-related hippocampal volume differences observed in adulthood may not yet be apparent in adolescence (Woon and Hedges, 2008), perhaps due to delayed pathological expression. Nonetheless, PTSD symptoms in adolescence are predictive of later hippocampal volume loss (Carrión et al., 2007) and functional differences are also present: adolescents with PTSD show altered hippocampal-default mode network connectivity that improves with symptom reduction (Sussman et al., 2022) and trauma-exposed children show less hippocampal activation during a memory task (Carrión et al., 2010). Neuropsychological deficits, including pervasive executive dysfunction, impaired learning and problem solving, and susceptibility to distraction and impulsivity, in pediatric PTSD parallel with those seen in adults (Beers et al., 2002; Moradi et al., 1999; Saigh et al., 2006; Samuelson et al., 2010), which may be due to dysfunction in frontal regions rather than the hippocampus. Indeed, adolescent PTSD is associated with abnormal frontolimbic development, including having smaller vmPFC volumes (Morey et al., 2016; Carrión et al., 2001).

Together, the current literature suggests that while PTSD-related structural changes in the hippocampus may not yet be evident in adolescence, adolescents with PTSD tend to show behavioral impairments in cognitive processes that are hippocampal-dependent, as well as in executive functioning due to structural changes in prefrontal regions. The goal of the current study was to examine the ability of adolescents with PTSD to imagine spatially coherent neutral scenes—a presumably hippocampal-dependent cognitive process that also implicates the vmPFC—using a scene construction task (Hassabis et al., 2007). We expected to find similar scene construction deficits in adolescent-onset PTSD as has been previously seen in adults (Marlatte et al., 2022). Specifically, we predicted greater PTSD severity would be associated with impairments in scene construction ability as indexed by the number and kinds of details imagined, the spatial coherence among details, and the quality of imagined scenes as rated by an external scorer and through participant’s subjective ratings of salience and presence. Findings from this study will provide broader insights into PTSD-related cognitive changes during development and inform interventions of particular relevance for this population.

2 Materials and methods

2.1 Participants

Forty adolescents between the ages of 11–18 participated in the study (Table 1). Participants were recruited from the community in the Greater Toronto Area through online and flyer advertisements: some advertisements were targeted towards the recruitment of neurologically and psychiatrically healthy individuals whereas others were targeted towards the recruitment of those experiencing traumatic memories. All participants provided written consent in compliance with the Baycrest Research Ethics Board, received cash compensation, and underwent an initial screening to ensure eligibility.

Table 1
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Table 1. Participant demographics and clinical summary.

Inclusion criteria for all participants were being 11–18 years old and fluent in English. Participants in the trauma-exposed and PTSD groups were to also have experienced a Criterion A traumatic event, and could have comorbid anxiety disorders, obsessive-compulsive disorder, and/or depression. Exclusion criteria for all participants were having experienced a traumatic brain injury where consciousness was lost for more than 5 min, recently initiated (within 3 months) or adjusted (within 6 weeks) treatment with psychotropic medications, and prior or current experience of psychosis or a substance-use disorder. Healthy controls were to also have no history of psychiatric diagnosis or taking psychotropic medication. Participants were designated into a trauma-exposed group if they had experienced a Criterion A traumatic stressor. Such events included experiencing or witnessing physical assault (n = 18), experiencing sexual assault (n = 7) or a disaster or accident (n = 5), sudden or threatened death to someone close (n = 6), a violent act such as a school shooting (n = 6), or a stressful medical procedure (n = 3). Most of these participants had experienced more than one event (see Supplementary Materials for a summary of CPSS-V subscales).

An a priori power analysis was conducted using G*Power version 3.1 (Faul et al., 2009) for sample size estimation based on our previous study of adults with PTSD who were robustly impaired at this task (Cohens d = 2.15; Marlatte et al., 2022). To find the same effect using an ANOVA test, 6 adolescents per group would provide 95% power to detect scene construction performance differences at a 5% alpha-level. Additionally, 24 total participants would provide 95% power to detect a relationship between scene construction performance and trauma symptom severity through linear multiple regression. A more conservative power estimate of 0.95 was chosen due to the large effect sizes seen in our previous study and oversampling was done to achieve both criteria.

2.2 Stimuli and procedure

After providing informed consent, participants first completed the scene construction task (Hassabis and Maguire, 2007). Here participants were instructed to vividly imagine and then describe a series of commonplace scenes, consisting of seven fictitious scenarios and two personal future events (e.g., “Imagine you are lying on a white sandy beach in a beautiful tropical bay. I want you to describe the experience and the surroundings in as much detail as possible using all your senses, including what you can see, hear, and feel”). One prompt from the original paradigm was not included as it was a narrative, and another was adapted to be suitable for this age group. For each scene, participants were explicitly asked not to recall an actual memory but to create something new. They were also instructed to continue with their descriptions until they came to a natural end or felt like nothing else could be added. After describing each scene in as much multimodal detail as possible, participants rated the scene on their perceived scene of presence, salience, and spatial coherence on a computer through a survey using Qualtrics software (Qualtrics, 2018). Each participant was tested individually and faced the interviewer, who read aloud the instructions for each scenario from a prepared script and provided prompts to aid in detail generation when needed. Participants’ narratives were recorded and later transcribed for scoring, and a practice trial was completed beforehand to ensure understanding of the task (see Supplementary Materials for all prompts, subjective ratings, and a scoring sample).

After completing the scene construction task, participants completed a series of self-report symptom assessments and measures of crystalized and fluid intelligence on a computer using Qualtrics software (Qualtrics, 2018). Participants first completed an assessment for PTSD symptom severity using the Child PTSD Symptom Scale for DSM-V (CPSS-5) with Trauma Screening (Foa et al., 2018). This provides a total score of symptom severity, comprised of a sum of four subscales that align with the DSM criterion, as well as a measure of the severity of impairment in everyday functioning, which does not contribute to the overall score. Non-trauma-exposed controls reported symptoms based on their most stressful experience that did not qualify as a Criterion A stressor. Afterwards, participants completed the Beck Depression Inventory (BDI-II; Beck et al., 1996), the State–Trait Anxiety Inventory (STAI; Spielberger, 2010), and the Brief Symptom Inventory (BSI-53; Derogatis and Melisaratos, 1983), the latter of which provides a measure of overall psychological distress through the Global Severity Index. Finally, participants completed tests of vocabulary and abstraction ability through the Shipley’s Institute of Living Scale (Shipley, 1940).

Scene construction narratives were transcribed from recordings and coded by an external scorer to quantify each detail type, total detail count, and to provide an overall quality rating. The first author coded a subset (20%) to assess inter-rater reliability, with good to excellent reliability found for all items (ICC = 0.85–0.96). To measure the overall richness of each imagined scene, a composite score called the Experiential Index was also calculated using normalized scores of objective scene content, subjective ratings of scene quality and spatial coherence by the participant, and quality judgements by the scorer. For one participant, the BSI-53 could not be collected and is therefore missing.

2.3 Analyses

Two analytical approaches were taken: the first was to assess group-wise differences in scene construction performance, similar to our previous study (Marlatte et al., 2022). This was done through a series of non-parametric one-way ANOVAs as the group sizes were unequal. Given the dimensional nature of psychopathology, we also examined the relationship between symptom severity and scene construction performance for all participants regardless of group designation through a series of multiple linear regressions. All analyses were completing using R (version 4.4.1; R Core Team, 2024) and R Studio (version 2024.02.2; Posit Team, 2024).

Kruskal-Wallis tests were run to compare group-wise differences, using eta-squared as a measure of effect size. When needed, post-hoc analyses were completed using Dunn’s Multiple Comparison Test with adjusted p-values, with effect size measured using Pearson’s r. Such comparisons were completed for all symptom assessments and measures of cognitive ability, as well as performance in the scene construction task. Omnibus tests were calculated using the stats package (version 4.2.1; R Core Team, 2024), and omnibus effect sizes and post-hoc comparisons calculated using the rstatix package (version 0.7.2; Kassambara, 2023).

To examine the relationship between dimensions of PTSD symptom severity and task performance, regressions were run using the stats package (version 4.2.1; R Core Team, 2024) predicting all aspects of scene construction performance: overall performance through the Experiential Index, as well as individual measures of mean presence, salience, and spatial coherence of the scenes, the average number of total details and each detail type, and overall scene quality. Predictors and covariates were selected based on their theoretical relevance to mental simulation. Predictors consisted of the subscales of the CPSS-V assessing different aspects of PTSD symptomatology: arousal and reactivity, avoidance, changes in cognition and mood, and experience of intrusions. Covariates included depression symptom severity (BDI-II), overall distress related to their psychopathological symptoms (The Global Severity Index from the BSI-53), and overall cognitive ability (Shipley total score).

3 Results

3.1 Demographics and psychopathology

Groups did not differ based on age, education, or gender. By definition, adolescents with PTSD reported greater PTSD severity than control groups, and trauma-exposed controls reported greater symptom severity than healthy controls. The PTSD group also had higher depression symptoms, trait anxiety, and overall distress related to their psychopathological symptoms than the control groups, which did not differ from each other. No differences between groups were noted for state anxiety or aspects of cognitive ability. See Supplementary Material for full statistical reporting.

3.2 Group-wise comparisons

See Table 2 for a summary of results. No group differences were found for overall scene construction performance through the Experiential Index, χ2(2) = 1.79, p = 0.401, for total details within the narratives, χ2(2) = 1.66, p = 0.436, or for overall quality as rated by an external scorer, χ2(2) = 2.80, p = 0.246. For specific detail types, groups differed in the number of sensory descriptions, χ2(2) = 7.21, p = 0.027, η2 = 0.02. Specifically, the PTSD group reported fewer sensory details than trauma-exposed controls (p = 0.024, r = −0.17) but not healthy controls (p = 0.254, r = −0.11), whereas the two control groups did not differ from one another (p = 0.254). This was accentuated when examining the proportion of details, χ2(2) = 15.23, p < 0.001, η2 = 0.04, such that the PTSD group reported a smaller proportion of sensory details than both healthy (p = 0.035, r = −0.17) and trauma-exposed controls (p < 0.001, r = −0.25), which did not differ (p = 0.083). No group differences were found for spatial references, χ2(2) = 1.90, p = 0.386, entities present, χ2(2) = 0.12, p = 0.943, or thoughts, emotions, and actions, χ2(2) = 5.83, p = 0.089.

Table 2
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Table 2. Scene construction task performance.

For subjective ratings, group differences were found for presence, χ2(2) = 8.80, p = 0.013, η2 = 0.02, and spatial coherence, χ2(2) = 6.92, p = 0.031, η2 = 0.01, but not perceived salience, χ2(2) = 4.80, p = 0.091. Specifically, healthy controls reported lower presence than trauma-exposed controls (p = 0.030, r = 0.14) and those with PTSD (p = 0.029, r = 0.19), with no difference between trauma-exposed groups (p = 0.439). Trauma-exposed controls reported higher spatial coherence than healthy controls (p = 0.026, r = 0.15), however the PTSD group did not significantly differ from either trauma-exposed (p = 0.480) or healthy controls (p = 0.480).

3.3 Multiple linear regressions

Significant models are summarized in Table 3; see Supplementary Materials for full model summaries of all models. The model predicting overall scene construction performance through the Experiential Index was significant, R2adj = 0.28, F (7,31) = 3.15, p = 0.012, with cognitive ability being the only significant predictor (β = 0.47, p < 0.001). For specific detail types, the only significant model was for thoughts, emotions and actions, R2adj = 0.21, F (7,31) = 2.40, p = 0.044. Significant predictors were cognitive ability (β = 0.07, p = 0.006) and avoidance symptoms (β = 0.29, p = 0.049). The model predicting quality was also significant, R2adj = 0.27, F (7,31) = 2.98, p = 0.016, with cognitive ability (β = −0.11, p < 0.001) and depression symptoms (β = −0.08, p = 0.048) being significant predictors. Models for entities present, sensory descriptions, and spatial references were not significant, as were models for subjective ratings such as presence, salience, or spatial coherence.

Table 3
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Table 3. Summary of significant linear regression models.

4 Discussion

Contrary to previous findings in adults (Marlatte et al., 2022), adolescents with PTSD did not display overall scene construction deficits and instead reported fewer sensory details in their imagined scenes compared to the control groups. Similarly, PTSD severity did not predict scene construction ability; instead, cognitive ability predicted several aspects of scene construction performance (i.e., Experiential Index, quality as rated by an external scorer, and details describing thoughts, emotions, and actions). Imagining more thoughts, emotions, and actions details was also associated with greater severity of avoidance symptoms, and imagining scenes of greater quality was related to reduced depression symptoms. Participants who had experienced a traumatic event reported feeling more present within their imagined scenes compared to healthy controls, and trauma-exposed controls also reported greater spatial coherence. Together, these results suggest that overall deficits in scene construction are not apparent in adolescence; however, changes in sensory imagery are. A consequence of such paucity in sensory imagery may be the observed increase in imagining person-related details. These results provide insights into changes in hippocampal-dependent functions across different populations with PTSD and can inform future interventions.

4.1 Adolescent PTSD is associated with deficits in sensory imagery

These findings indicate that deficits in imagining neutral scenes that are spatially coherent and detail rich, as seen in adult-onset PTSD, are not apparent during developmental PTSD. Instead, adolescent PTSD is associated with changes in how individuals experience neutral sensory imagery. Notably, the sensory imagery deficits were not associated with symptom severity in any specific PTSD symptom cluster, nor were they associated with depression severity, overall distress, or cognitive ability. Together, this suggests that sensory imagery deficits present in adolescent PTSD are associated with the broader clinical profile of the disorder rather than to specific core features or related, comorbid psychopathologies.

The few prior studies that have examined mental imagery in adolescent PTSD directly focused on affective content and noted differences in frequency and vividness of negative, as compared to positive, mental images (Steil et al., 2022). Of potential relevance to imagery are findings that trauma impacts somatic sensory processing (Kearney and Lanius, 2022). Childhood trauma has specifically been found to impact multisensory integration (Howard et al., 2020), defined as the ability to process, integrate, and organize input from our body and the environment to effectively interact with our surroundings (Ayres, 1972). Such processing is foundational for higher cognitive operations that rely on this input, such as memory, spatial navigation, social cognition, goal-oriented action, and even one’s sense of self (Harricharan et al., 2021). Similarly, impaired multisensory integration after childhood trauma has been associated with nervous system dysregulation (Howard et al., 2020), in alignment with embodied neuroscience theories of PTSD that emphasize how somatic sensory processing dysfunction has cascading influences on physiological arousal, affect, and higher-level cognition (Kearney and Lanius, 2022). Together, these results suggest that adolescents present a unique pattern of PTSD-related deficits in scene construction that exclusively involves impaired sensory processing when imagining neutral scenes, which may underpin subsequent trauma-related symptomatology.

4.2 Cognitive ability is critical in both scene construction ability and PTSD development

Cognitive ability was the strongest predictor of overall scene construction performance as measured by the Experiential Index. Our measure of cognitive ability is used to index different aspects of intelligence, reflecting the capacity for flexible reasoning and problem-solving. Previous work has shown detail generation in future thinking relies on a similar construct, cognitive flexibility (Addis et al., 2016), defined as the ability to dynamically adapt one’s thinking or behavior in response to changing environments. Future thinking also implicates frontal cognitive control regions more than episodic recollection (Benoit and Schacter, 2015), and greater cognitive flexibility during future thinking is associated with reduced hippocampal-dependent episodic reliving (Roberts et al., 2017). Together, these findings highlight the important role of cognitive ability and flexibility in both scene construction and future thinking, which may not be as hippocampally-dependent as memory recall.

Intelligence has previously been linked with PTSD development. A review of studies in adults (Buckley et al., 2000) identified lower intelligence as a potential vulnerability factor for later developing PTSD, and higher intelligence in childhood may act as a protective factor against PTSD development after later trauma exposure in adolescence (Breslau et al., 2006). In line with this, we have found that adults with PTSD showed both deficient scene construction performance and lower intelligence (Marlatte et al., 2022). Interestingly, here, adolescents with PTSD did not differ in intelligence from their controls, which may explain why no overall scene construction deficits were found. Notably, differences in fluid intelligence have not been seen previously in large-scale community (Keyes et al., 2017) or clinical samples (Saigh et al., 2006) of adolescents with PTSD. As flexible future problem solving is associated with greater hippocampal-vmPFC connectivity maturation into adulthood (Calabro et al., 2020), PTSD-related differences in intelligence—and therefore associated deficits in scene construction—may both emerge in adulthood instead.

4.3 Imagining person-related details may be a compensation mechanism

Those with PTSD imagined fewer sensory details, but also more details related to thoughts, emotions, and actions if they had greater avoidance symptoms. Imagining more of these person-related details may therefore be a compensation mechanism to avoid episodic reliving and the imagining of more detail-rich episodes, or it may simply reflect what is more accessible to imagine. Such a trade-off was similarly noted in adults with PTSD who imagined fewer spatial details (Marlatte et al., 2022). Whereas sensory processing develops in childhood, the development of spatial processing continues into early adulthood (Ruggiero et al., 2016), which may be why spatial deficits were not noted in adolescent PTSD here. Imagining person-related details also requires less relational processing which relies on the hippocampus (Wiebels et al., 2020), and therefore may be a common compensation strategy for those with PTSD across development. Future research should clarify whether reporting more thoughts, emotions, and actions in this task is either a narrative strategy for those high in avoidance, reflects what is accessible to imagine, or potentially both; such insights can inform the application of future interventions.

4.4 Adolescent PTSD is associated with differences in embodiment even within imagination

Participants who had experienced trauma reported feeling more present within their scenes; however, those with PTSD paradoxically also reported fewer sensory details. Together, this indicates that adolescents with PTSD may have a reduced embodied experience in their imagination. Their threshold of subjective presence may be lower than that of healthy controls, paradoxically resulting in higher subjective ratings of presence despite lower objective measurements of sensory experience. Episodic memory is still developing during adolescence (Mechie et al., 2021), including what subjectively constitutes as a present episode, which is presumably on a continuum. These individuals may therefore have fewer highly present experiences to compare to, given their trauma history, leading to a lower overall threshold for what is considered a highly present mental simulation. Further, experiencing traumatic experiences during adolescence, especially those that are interpersonal in nature as was common for our sample, is related to greater avoidance responses such as dissociation (Brand et al., 2012; van Dijke et al., 2015) even in adolescence (Putnam, 2009). Although not measured here, the greater likelihood of utilizing such avoidance strategies may further impact one’s ability to be embodied and present, both in-the-moment and in one’s imagination. Future work should qualitatively examine the narratives of episodic simulations to further elucidate if and how objective measurements of sensory processing and episodic reliving differ from subjective reports as provided through scale ratings, as well as how this relates to dissociative symptoms.

It is of note that trauma-exposed controls also expressed greater presence but without the sensory imagining deficits observed in those with PTSD. This may be a sign of resiliency and suggests that promoting both subjective and objective aspects of sensory experiencing, such as in somatic therapy or sensory modulation, may be an especially relevant treatment opportunity for adolescents who have experienced trauma. Further, this provides initial evidence for the relevance of applied interventions such as memory specificity training (MeST; Raes et al., 2009), which was developed based on the over-general memory effects noted in depression and post-traumatic stress disorder in adults. With the MeST, individuals are asked to focus on sensory, perceptual, and contextual details of episodic memories to improve the specificity of memory recall and in turn reduce psychopathological symptoms (Barry et al., 2021). Although limited research has been done on this intervention in adolescents (Pile et al., 2021), our findings suggest adolescents with PTSD may especially benefit from interventions like the MeST with a particular focus on the sensory aspects of episodes. Applying the MeST to future or hypothetical, rather than past, episodes may also be of particular benefit to this age-group. However, whether the focus should be on improving the ability to bring sensory details to mind or increasing one’s tolerance to sensory experience, even within one’s imagination, is an open question that should be explored.

4.5 When might hippocampal-dependent behavioral deficits be associated with PTSD?

Given that reduced hippocampal volume and deficits in hippocampal-dependent processing are robustly seen in adults with PTSD, this leads to the question of why such differences are not consistently present in adolescence. One theory is that decreases in hippocampal volume are due to the neurotoxic effects of stress, which may take time and repeated experiences to develop (Lupien et al., 2009; but see, e.g., Kremen et al., 2012). Such processes may interact with normal trajectories of hippocampal development, where there is an increase in hippocampal grey matter volume into mid-adolescence followed by selective loss through pruning into adulthood (Tamnes et al., 2018). Further, there are mixed findings regarding the relationship between hippocampal volumes and memory performance during typical development (Van Petten, 2004; but see Botdorf et al., 2022) suggesting a nonlinear relationship between hippocampal structure and cognitive performance across the lifespan. Indeed, episodic memory development has been found to be non-linear approaching adulthood (Mechie et al., 2021) which may be masking differences in mental simulation ability that become present later on. Adolescence and associated neural pruning may therefore be a critical period for structural and behavioral changes to emerge in PTSD, similar to other psychopathologies (Paus et al., 2008; Sakai, 2020).

To our knowledge, no study has examined scene construction or episodic future thinking in this population; however, previous studies of mental simulation have reported deficits in autobiographical memory in adolescents with both depression and trauma-exposure (Hitchcock et al., 2014). These studies differ in multiple ways: previous studies have typically used the autobiographical memory test, which categorizes memories broadly as episodic (or not) rather than more specific methods that quantify categories of narrative details, similar to the presently used task. Previous paradigms also prompt with valenced cues, whereas the current task used (presumably) neutral cues. Finally, most of the prompts within the scene construction task were apersonal, which may be easier for participants to imagine.

4.6 Limitations

Several additional measures would strengthen the conclusions of these behavioral findings. First, additional neuroimaging would allow assessment, rather than inference, of the relationship between scene construction differences with hippocampal volume. Additionally, a measurement of dissociation, such as the Multidimensional Inventory of Dissociation – Adolescent Version (MID-60-A), would allow direct assessment of the potential relationship of developmental trauma, dissociation, and sensory experience during mental simulations.

Given that trauma-related cognitive and hippocampal changes may be smaller in community samples (Calem et al., 2017; Scott et al., 2015), replicating these findings with a clinical sample is necessary to ensure scene construction differences are due to clinical and hippocampal, rather than sample, differences. This may explain the contradictory findings between our original study finding robust difference in scene construction performance in adults with PTSD (Marlatte et al., 2022) sampled from a clinic, and our current results in adolescents sampled from the community. Indeed, PTSD is a heterogeneous disorder. Although our sample size was determined to be sufficiently powered a priori, it may still be too small to fully capture the range of disorder phenotypes that exist, including their associated patterns of neurocognitive deficits and developmental trajectories. Phenotypical differences may, in fact, partially explain the behavioral differences between the current findings and our previous study in adults (Marlatte et al., 2022). Examining mental simulation performance in a larger sample of adolescents with PTSD would confirm whether scene construction deficits are solely in sensory imagery and clarify if such deficits are consistent across a broad range of PTSD profiles. In addition, examining mental simulation performance longitudinally in adolescents with PTSD would elucidate whether overall scene construction deficits after adolescent trauma develop in adulthood, and if this is similar across PTSD profiles.

5 Conclusion

In conclusion, we found that the ability to imagine rich multimodal scenes in adolescence was associated with their cognitive ability rather than PTSD severity, as had been previously observed in adults. These results suggest that hippocampal-dependent deficits in scene construction are not apparent in adolescence. However, changes in sensory processing and embodiment are noted, which may be a target for intervention. Whether or not spatial processing deficits develop later in adulthood, or is a feature of adult-acquired PTSD, remains to be investigated.

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 studies involving humans were approved by the Research Ethics Board at the Rotman Research Institute at Baycrest Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants’ legal guardians/next of kin in line with national guidelines. Such guidelines do not specify an age of consent for children but rather point out that children’s competence to consent for themselves does not depend on their age but on their capacity to understand the research and its risks and benefits in the context in which it will occur. For this study, youth provided their own consent to participate, which was confirmed by a parent or guardian.

Author contributions

HM: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Resources, Software, Writing – review & editing. JR: Funding acquisition, Resources, Supervision, Writing – review & editing, Conceptualization. AG: Conceptualization, Funding acquisition, Resources, Supervision, Writing – review & editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Anne and Max Tanenbaum Chair, Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant (RGPIN-2018_06399) and the Canadian Institute of Health Research (CIHR) Grant (PJT-162274) awarded to JR and the NSERC Discovery Grant (#378921) and the CIHR Grant (PJT-175159) awarded to AG. HM was supported by the NSERC Canadian Graduate Scholarship and Ontario Graduate Scholarship (OGS).

Acknowledgments

We would like to thank all the participants who volunteered for the study. Thank you to Rebecca Sy for help with data coding, Dr. Malcolm Binns for statistical guidance, and Dr. Brian Levine and Dr. Nasreen Khatri for assistance with group designation.

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.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Generative AI statement

The author(s) declare that no Gen 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.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1589756/full#supplementary-material

References

Addis, D. R., Pan, L., Musicaro, R., and Schacter, D. L. (2016). Divergent thinking and constructing episodic simulations. Memory 24, 89–97. doi: 10.1080/09658211.2014.985591

PubMed Abstract | Crossref Full Text | Google Scholar

Ahmed, F., Spottiswoode, B. S., Carey, P. D., Stein, D. J., and Seedat, S. (2012). Relationship between neurocognition and regional brain volumes in traumatized adolescents with and without posttraumatic stress disorder. Neuropsychobiology 66, 174–184. doi: 10.1159/000339558

PubMed Abstract | Crossref Full Text | Google Scholar

Ayres, A. J. (1972). Sensory integration and learning disorders. Torrance: Western Psychological Services.

Google Scholar

Barry, T. J., Hallford, D. J., Hitchcock, C., Takano, K., Raes, F., Lam, F., et al. (2021). The current state of memory specificity training (MeST) for emotional disorders. Curr. Opin. Psychol. 41, 28–33. doi: 10.1016/j.copsyc.2021.02.002

Crossref Full Text | Google Scholar

Beck, A. T., Steer, R. A., and Brown, G. K. (1996). Beck depression inventory (BDI-II): Manual and questionnaire. San Antonio, TX: The Psychological Corporation.

Google Scholar

Beers, S. R., Michael, D., and De Bellis, M. P. H. (2002). Neuropsychological function in children with maltreatment-related posttraumatic stress disorder. Am. J. Psychiatry 159, 483–486. doi: 10.1176/appi.ajp.159.3.483

Crossref Full Text | Google Scholar

Benoit, R. G., and Schacter, D. L. (2015). Specifying the core network supporting episodic simulation and episodic memory by activation likelihood estimation. Neuropsychologia 75, 450–457. doi: 10.1016/j.neuropsychologia.2015.06.034

PubMed Abstract | Crossref Full Text | Google Scholar

Bertossi, E., Aleo, F., Braghittoni, D., and Ciaramelli, E. (2016). Stuck in the here and now: construction of fictitious and future experiences following ventromedial prefrontal damage. Neuropsychologia 81, 107–116. doi: 10.1016/j.neuropsychologia.2015.12.015

PubMed Abstract | Crossref Full Text | Google Scholar

Botdorf, M., Canada, K. L., and Riggins, T. (2022). A meta-analysis of the relation between hippocampal volume and memory ability in typically developing children and adolescents. Hippocampus 32, 386–400. doi: 10.1002/hipo.23414

PubMed Abstract | Crossref Full Text | Google Scholar

Brand, B. L., Lanius, R., Vermetten, E., Loewenstein, R. J., and Spiegel, D. (2012). Where are we going? An update on assessment, treatment, and neurobiological research in dissociative disorders as we move toward the DSM-5. J. Trauma Dissociation 13, 9–31. doi: 10.1080/15299732.2011.620687

PubMed Abstract | Crossref Full Text | Google Scholar

Breslau, N., Lucia, V. C., and Alvarado, G. F. (2006). Intelligence and other predisposing factors in exposure to trauma and posttraumatic stress disorder: a follow-up study at age 17 years. Arch. Gen. Psychiatry 63, 1238–1245. doi: 10.1001/archpsyc.63.11.1238

PubMed Abstract | Crossref Full Text | Google Scholar

Bromberg, U., Wiehler, A., and Peters, J. (2015). Episodic future thinking is related to impulsive decision making in healthy adolescents. Child Dev. 86, 1458–1468. doi: 10.1111/cdev.12390

PubMed Abstract | Crossref Full Text | Google Scholar

Brown, A. D., Addis, D. R., Romano, T. A., Marmar, C. R., Bryant, R. A., Hirst, W., et al. (2014). Episodic and semantic components of autobiographical memories and imagined future events in post-traumatic stress disorder. Memory 22, 595–604. doi: 10.1080/09658211.2013.807842

PubMed Abstract | Crossref Full Text | Google Scholar

Brown, A. D., Root, J. C., Romano, T. A., Chang, L. J., Bryant, R. A., and Hirst, W. (2013). Overgeneralized autobiographical memory and future thinking in combat veterans with posttraumatic stress disorder. J. Behav. Ther. Exp. Psychiatry 44, 129–134. doi: 10.1016/j.jbtep.2011.11.004

PubMed Abstract | Crossref Full Text | Google Scholar

Buckley, T. C., Blanchard, E. B., and Trammell Neill, W. (2000). Information processing and PTSD: a review of the empirical literature. Clin. Psychol. Rev. 20, 1041–1065. doi: 10.1016/S0272-7358(99)00030-6

Crossref Full Text | Google Scholar

Calabro, F. J., Murty, V. P., Jalbrzikowski, M., Tervo-Clemmens, B., and Luna, B. (2020). Development of hippocampal-prefrontal cortex interactions through adolescence. Cereb. Cortex 30, 1548–1558. doi: 10.1093/cercor/bhz186

PubMed Abstract | Crossref Full Text | Google Scholar

Calem, M., Bromis, K., McGuire, P., Morgan, C., and Kempton, M. J. (2017). Meta-analysis of associations between childhood adversity and hippocampus and amygdala volume in non-clinical and general population samples. NeuroImage 14, 471–479. doi: 10.1016/j.nicl.2017.02.016

PubMed Abstract | Crossref Full Text | Google Scholar

Campbell, K. L., Madore, K. P., Benoit, R. G., Thakral, P. P., and Schacter, D. L. (2018). Increased hippocampus to ventromedial prefrontal connectivity during the construction of episodic future events. Hippocampus 28, 76–80. doi: 10.1002/hipo.22812

PubMed Abstract | Crossref Full Text | Google Scholar

Carrión, V. G., Haas, B. W., Garrett, A., Song, S., and Reiss, A. L. (2010). Reduced hippocampal activity in youth with posttraumatic stress symptoms: an fMRI study. J. Pediatr. Psychol. 35, 559–569. doi: 10.1093/jpepsy/jsp112

PubMed Abstract | Crossref Full Text | Google Scholar

Carrión, V. G., Weems, C. F., Eliez, S., Patwardhan, A., Brown, W., Ray, R. D., et al. (2001). Attenuation of frontal asymmetry in pediatric posttraumatic stress disorder. Biol. Psychiatry 50, 943–951. doi: 10.1016/S0006-3223(01)01218-5

PubMed Abstract | Crossref Full Text | Google Scholar

Carrión, V. G., Weems, C. F., and Reiss, A. L. (2007). Stress predicts brain changes in children: a pilot longitudinal study on youth stress, posttraumatic stress disorder, and the hippocampus. Pediatrics 119, 509–516. doi: 10.1542/peds.2006-2028

PubMed Abstract | Crossref Full Text | Google Scholar

Chua, L. W., Milfont, T. L., and Jose, P. E. (2015). Coping skills help explain how future-oriented adolescents accrue greater well-being over time. J. Youth Adolesc. 44, 2028–2041. doi: 10.1007/s10964-014-0230-8

PubMed Abstract | Crossref Full Text | Google Scholar

Ciaramelli, E., Anelli, F., and Frassinetti, F. (2021). An asymmetry in past and future mental time travel following vmPFC damage. Social Cognitive and Affective Neuroscience, 16, 315–325. doi: 10.1093/scan/nsaa163

Crossref Full Text | Google Scholar

Copeland, W. E., Keeler, G., Angold, A., and Jane Costello, E. (2007). Traumatic events and posttraumatic stress in childhood. Arch. Gen. Psychiatry 64, 577–584. doi: 10.1001/archpsyc.64.5.577

PubMed Abstract | Crossref Full Text | Google Scholar

Crane, C., Heron, J., Gunnell, D., Lewis, G., Evans, J., and Williams, J. M. G. (2014). Childhood traumatic events and adolescent overgeneral autobiographical memory: findings in a UK cohort. J. Behav. Ther. Exp. Psychiatry 45, 330–338. doi: 10.1016/j.jbtep.2014.02.004

PubMed Abstract | Crossref Full Text | Google Scholar

De Bellis, M. D., Keshavan, M. S., Shifflett, H., Iyengar, S., Beers, S. R., Hall, J., et al. (2002). Brain structures in pediatric maltreatment-related posttraumatic stress disorder: a sociodemographically matched study. Biol. Psychiatry 52, 1066–1078. doi: 10.1016/S0006-3223(02)01459-2

PubMed Abstract | Crossref Full Text | Google Scholar

De Decker, A., Hermans, D., Raes, F., and Eelen, P. (2003). Autobiographical memory specificity and trauma in inpatient adolescents. J. Clin. Child Adolesc. Psychol. 32, 22–31. doi: 10.1207/S15374424JCCP3201_03

PubMed Abstract | Crossref Full Text | Google Scholar

Derogatis, L. R., and Melisaratos, N. (1983). The brief symptom inventory: an introductory report. Psychol. Med. 13, 595–605. doi: 10.1017/S0033291700048017

PubMed Abstract | Crossref Full Text | Google Scholar

Faul, F., Erdfelder, E., Buchner, A., and Lang, A. G. (2009). Statistical power analyses using G*power 3.1: tests for correlation and regression analyses. Behav. Res. Methods 41, 1149–1160. doi: 10.3758/BRM.41.4.1149

PubMed Abstract | Crossref Full Text | Google Scholar

Foa, E. B., Asnaani, A., Zang, Y., Capaldi, S., and Yeh, R. (2018). Psychometrics of the child PTSD symptom scale for DSM-5 for trauma-exposed children and adolescents. J. Clin. Child Adolesc. Psychol. 47, 38–46. doi: 10.1080/15374416.2017.1350962

PubMed Abstract | Crossref Full Text | Google Scholar

Harricharan, S., McKinnon, M. C., and Lanius, R. A. (2021). How processing of sensory information from the internal and external worlds shape the perception and engagement with the world in the aftermath of trauma: implications for PTSD. Front. Neurosci. 15:625490. doi: 10.3389/fnins.2021.625490

PubMed Abstract | Crossref Full Text | Google Scholar

Hassabis, D., Kumaran, D., Vann, S. D., and Maguire, E. A. (2007). Patients with hippocampal amnesia cannot imagine new experiences. Proc. Natl. Acad. Sci. USA 104, 1726–1731. doi: 10.1073/pnas.0610561104

PubMed Abstract | Crossref Full Text | Google Scholar

Hassabis, D., and Maguire, E. A. (2007). Deconstructing episodic memory with construction. Trends Cogn. Sci. 11, 299–306. doi: 10.1016/j.tics.2007.05.001

PubMed Abstract | Crossref Full Text | Google Scholar

Hitchcock, C., Nixon, R. D. V., and Weber, N. (2014). A review of overgeneral memory in child psychopathology. Br. J. Clin. Psychol. 53, 170–193. doi: 10.1111/bjc.12034

PubMed Abstract | Crossref Full Text | Google Scholar

Howard, A. R. H., Lynch, A. K., Call, C. D., and Cross, D. R. (2020). Sensory processing in children with a history of maltreatment: an occupational therapy perspective. Vulner. Child. Youth Stud. 15, 60–67. doi: 10.1080/17450128.2019.1687963

Crossref Full Text | Google Scholar

Johnson, S. R. L., Blum, R. W., and Cheng, T. L. (2014). Future orientation: a construct with implications for adolescent health and wellbeing. Int. J. Adolesc. Med. Health 26, 459–468. doi: 10.1515/ijamh-2013-0333

PubMed Abstract | Crossref Full Text | Google Scholar

Karl, A., Schaefer, M., Malta, L. S., Dörfel, D., Rohleder, N., and Werner, A. (2006). A meta-analysis of structural brain abnormalities in PTSD. Neurosci. Biobehav. Rev. 30, 1004–1031. doi: 10.1016/j.neubiorev.2006.03.004

PubMed Abstract | Crossref Full Text | Google Scholar

Kassambara, A. (2023). Rstatix: pipe-friendly framework for basic statistical tests. R package version 0.7.2. Available online at: https://CRAN.R-project.org/package=rstatix

Google Scholar

Kearney, B. E., and Lanius, R. A. (2022). The brain-body disconnect: a somatic sensory basis for trauma-related disorders. Front. Neurosci. 16:1015749. doi: 10.3389/fnins.2022.1015749

PubMed Abstract | Crossref Full Text | Google Scholar

Keyes, K. M., Platt, J., Kaufman, A. S., and McLaughlin, K. A. (2017). Association of fluid intelligence and psychiatric disorders in a population-representative sample of US adolescents. JAMA Psychiatry 74, 179–188. doi: 10.1001/jamapsychiatry.2016.3723

PubMed Abstract | Crossref Full Text | Google Scholar

Kilpatrick, D. G., Ruggiero, K. J., Acierno, R., Saunders, B. E., Resnick, H. S., and Best, C. L. (2003). Violence and risk of PTSD, major depression, substance abuse/dependence, and comorbidity: results from the national survey of adolescents. J. Consult. Clin. Psychol. 71, 692–700. doi: 10.1037/0022-006X.71.4.692

PubMed Abstract | Crossref Full Text | Google Scholar

Kitayama, N., Vaccarino, V., Kutner, M., Weiss, P., and Bremner, J. D. (2005). Magnetic resonance imaging (MRI) measurement of hippocampal volume in posttraumatic stress disorder: a meta-analysis. J. Affect. Disord. 88, 79–86. doi: 10.1016/j.jad.2005.05.014

PubMed Abstract | Crossref Full Text | Google Scholar

Kleim, B., and Ehlers, A. (2008). Reduced autobiographical memory specificity predicts depression and post-traumatic stress disorder after recent trauma. J. Consult. Clin. Psychol. 76, 231–242. doi: 10.1037/0022-006X.76.2.231

PubMed Abstract | Crossref Full Text | Google Scholar

Kleim, B., Graham, B., Fihosy, S., Stott, R., and Ehlers, A. (2014). Reduced specificity in episodic future thinking in posttraumatic stress disorder. Clin. Psychol. Sci. 2, 165–173. doi: 10.1177/2167702613495199

PubMed Abstract | Crossref Full Text | Google Scholar

Kremen, W. S., Koenen, K. C., Afari, N., and Lyons, M. J. (2012). Twin studies of posttraumatic stress disorder: differentiating vulnerability factors from sequelae. Neuropharmacol. 62, 647–653. doi: 10.1016/j.neuropharm.2011.03.012

Crossref Full Text | Google Scholar

Layne, C. M., Greeson, J. K. P., Ostrowski, S. A., Kim, S., Reading, S., Vivrette, R. L., et al. (2014). Cumulative trauma exposure and high risk behavior in adolescence: findings from the National Child Traumatic Stress Network Core Data set. Psychol. Trauma Theory Res. Pract. Policy 6, 40–49. doi: 10.1037/a0037799

Crossref Full Text | Google Scholar

Logue, M. W., van Rooij, S. J. H., Dennis, E. L., Davis, S. L., Hayes, J. P., Stevens, J. S., et al. (2018). Smaller hippocampal volume in posttraumatic stress disorder: a multisite ENIGMA-PGC study: subcortical volumetry results from posttraumatic stress disorder consortia. Biol. Psychiatry 83, 244–253. doi: 10.1016/j.biopsych.2017.09.006

PubMed Abstract | Crossref Full Text | Google Scholar

Lupien, S. J., McEwen, B. S., Gunnar, M. R., and Heim, C. (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat. Rev. Neurosci. 10, 434–445. doi: 10.1038/nrn2639

PubMed Abstract | Crossref Full Text | Google Scholar

Mac Giollabhui, N., Nielsen, J., Seidman, S., Olino, T. M., Abramson, L. Y., and Alloy, L. B. (2018). The development of future orientation is associated with faster decline in hopelessness during adolescence. J. Youth Adolesc. 47, 2129–2142. doi: 10.1007/s10964-017-0803-4

PubMed Abstract | Crossref Full Text | Google Scholar

Marlatte, H., Beaton, D., Adler-Luzon, S., Abo-Ahmad, L., and Gilboa, A. (2022). Scene construction and spatial processing in post-traumatic stress disorder. Front. Behav. Neurosci. 16:888358. doi: 10.3389/fnbeh.2022.888358

PubMed Abstract | Crossref Full Text | Google Scholar

McCormick, C., Barry, D. N., Jafarian, A., Barnes, G. R., and Maguire, E. A. (2020). vmPFC drives hippocampal processing during autobiographical memory recall regardless of remoteness. Cereb. Cortex 30, 5972–5987. doi: 10.1093/cercor/bhaa172

PubMed Abstract | Crossref Full Text | Google Scholar

McCormick, C., Ciaramelli, E., De Luca, F., and Maguire, E. A. (2018). Comparing and contrasting the cognitive effects of hippocampal and ventromedial prefrontal cortex damage: a review of human lesion studies. Neuroscience 374, 295–318. doi: 10.1016/j.neuroscience.2017.07.066

PubMed Abstract | Crossref Full Text | Google Scholar

McLaughlin, K. A., Koenen, K. C., Hill, E. D., Petukhova, M., Sampson, N. A., Zaslavsky, A. M., et al. (2013). Trauma exposure and posttraumatic stress disorder in a national sample of adolescents. J. Am. Acad. Child Adolesc. Psychiatry 52, 815–830.e14. doi: 10.1016/j.jaac.2013.05.011

PubMed Abstract | Crossref Full Text | Google Scholar

Mechie, I. R., Plaisted-Grant, K., and Cheke, L. G. (2021). How does episodic memory develop in adolescence? Learn. Mem. 28, 204–217. doi: 10.1101/LM.053264.120

PubMed Abstract | Crossref Full Text | Google Scholar

Monk, A. M., Dalton, M. A., Barnes, G. R., and Maguire, E. A. (2020). The role of hippocampal–ventromedial prefrontal cortex neural dynamics in building mental representations. J. Cogn. Neurosci. 33, 89–103. doi: 10.1162/jocn_a_01634

Crossref Full Text | Google Scholar

Moradi, A. R., Doost, H. T. N., Taghavi, M. R., Yule, W., and Dalgleish, T. (1999). Everyday memory deficits in children and adolescents with PTSD: performance on the Rivermead behavioural memory test. J. Child Psychol. Psychiatry Allied Discip. 40, 357–361. doi: 10.1111/1469-7610.00453

Crossref Full Text | Google Scholar

Morey, R. A., Haswell, C. C., Hooper, S. R., and De Bellis, M. D. (2016). Amygdala, hippocampus, and ventral medial prefrontal cortex volumes differ in maltreated youth with and without chronic posttraumatic stress disorder. Neuropsychopharmacology 41, 791–801. doi: 10.1038/npp.2015.205

PubMed Abstract | Crossref Full Text | Google Scholar

Nixon, R. D. V., Ball, S. A., Sterk, J., Best, T., and Beatty, L. (2013). Autobiographical memory in children and adolescents with acute stress and chronic posttraumatic stress disorder distrust. Behav. Change 30, 180–198. doi: 10.1017/bec.2013.17

Crossref Full Text | Google Scholar

Nooner, K. B., Linares, L. O., Batinjane, J., Kramer, R. A., Silva, R., and Cloitre, M. (2012). Factors related to posttraumatic stress disorder in adolescence. Trauma Viol. Abuse 13, 153–166. doi: 10.1177/1524838012447698

PubMed Abstract | Crossref Full Text | Google Scholar

Olsen, R. K., Moses, S. N., Riggs, L., and Ryan, J. D. (2012). The hippocampus supports multiple cognitive processes through relational binding and comparison. Front. Hum. Neurosci. 6, 1–13. doi: 10.3389/fnhum.2012.00146

Crossref Full Text | Google Scholar

Ono, M., Devilly, G., and Shum, D. (2016). A meta-analytic review of overgeneral memory: the role of trauma history, mood, and the presence of posttraumatic stress disorder. Psychol. Trauma Theory Res. Pract. Policy 8:157. doi: 10.1037/tra0000027

PubMed Abstract | Crossref Full Text | Google Scholar

Paus, T., Keshavan, M., and Giedd, J. N. (2008). Why do many psychiatric disorders emerge during adolescence? Nat. Rev. Neurosci. 9, 947–957. doi: 10.1038/nrn2513

PubMed Abstract | Crossref Full Text | Google Scholar

Pile, V., Smith, P., Leamy, M., Oliver, A., Blackwell, S. E., Meiser-Stedman, R., et al. (2021). Harnessing mental imagery and enhancing memory specificity: developing a brief early intervention for depressive symptoms in adolescence. Cogn. Ther. Res. 45, 885–901. doi: 10.1007/s10608-020-10130-3

Crossref Full Text | Google Scholar

Posit Team. (2024). RStudio: Integrated development environment for R. Posit Software, PBC, Boston, MA. Available online at: http://www.posit.co/

Google Scholar

Postel, C., Viard, A., André, C., Guénolé, F., de Flores, R., Baleyte, J. M., et al. (2019). Hippocampal subfields alterations in adolescents with post-traumatic stress disorder. Hum. Brain Mapp. 40, 1244–1252. doi: 10.1002/hbm.24443

PubMed Abstract | Crossref Full Text | Google Scholar

Putnam, F. W. (2009). Taking the measure of dissociation. J. Trauma Dissoc. 10, 233–236. doi: 10.1080/15299730902956564

PubMed Abstract | Crossref Full Text | Google Scholar

Qualtrics (2018). Provo, Utah, USA: qualtrics Available online at: https://www.qualtrics.com

Google Scholar

Raes, F., Williams, J. M. G., and Hermans, D. (2009). Reducing cognitive vulnerability to depression: a preliminary investigation of MEmory specificity training (MEST) in inpatients with depressive symptomatology. J. Behav. Ther. Exp. Psychiatry 40, 24–38. doi: 10.1016/j.jbtep.2008.03.001

PubMed Abstract | Crossref Full Text | Google Scholar

R Core Team. (2024). R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available online at: https://www.R-project.org/

Google Scholar

Roberts, R. P., Wiebels, K., Sumner, R. L., van Mulukom, V., Grady, C. L., Schacter, D. L., et al. (2017). An fMRI investigation of the relationship between future imagination and cognitive flexibility. Neuropsychologia 95, 156–172. doi: 10.1016/j.neuropsychologia.2016.11.019

PubMed Abstract | Crossref Full Text | Google Scholar

Ruggiero, G., D’Errico, O., and Iachini, T. (2016). Development of egocentric and allocentric spatial representations from childhood to elderly age. Psychol. Res. 80, 259–272. doi: 10.1007/s00426-015-0658-9

PubMed Abstract | Crossref Full Text | Google Scholar

Saigh, P. A., Yasik, A. E., Oberfield, R. A., Halamandaris, P. V., and Bremner, J. D. (2006). The intellectual performance of traumatized children and adolescents with or without posttraumatic stress disorder. J. Abnorm. Psychol. 115, 332–340. doi: 10.1037/0021-843X.115.2.332

PubMed Abstract | Crossref Full Text | Google Scholar

Sakai, J. (2020). How synaptic pruning shapes neural wiring during development and, possibly, in disease. Proc. Natl. Acad. Sci. USA 117, 16096–16099. doi: 10.1073/pnas.2010281117

PubMed Abstract | Crossref Full Text | Google Scholar

Samuelson, K. W., Krueger, C. E., Burnett, C., and Wilson, C. K. (2010). Neuropsychological functioning in children with posttraumatic stress disorder. Child Neuropsychol. 16, 119–133. doi: 10.1080/09297040903190782

PubMed Abstract | Crossref Full Text | Google Scholar

Schacter, D. L., and Addis, D. R. (2007). The cognitive neuroscience of constructive memory: remembering the past and imagining the future. Philos. Transact. Royal Soc. 362, 773–786. doi: 10.1098/rstb.2007.2087

PubMed Abstract | Crossref Full Text | Google Scholar

Scott, J. C., Matt, G. E., Wrocklage, K. M., Crnich, C., Jordan, J., Southwick, S. M., et al. (2015). A quantitative meta-analysis of neurocognitive functioning in posttraumatic stress disorder. Psychol. Bull. 141, 105–140. doi: 10.1037/a0038039

PubMed Abstract | Crossref Full Text | Google Scholar

Shipley, W. C. (1940). A self-administering scale for measuring intellectual impairment and deterioration. J. Psychol. 9, 371–377. doi: 10.1080/00223980.1940.9917704

Crossref Full Text | Google Scholar

Spielberger, C. D. (2010). “State-Trait Anxiety Inventory” in The Corsini Encyclopedia of Psychology, eds. I. B. Weiner and W. E. Craighead. (Hoboken, NJ: John Wiley & Sons, Inc.), 1698–1699. doi: 10.1002/9780470479216.corpsy0943

Crossref Full Text | Google Scholar

Steil, R., Fischer, A., Gutermann, J., and Rosner, R. (2022). Mental imagery in adolescent PTSD patients after child abuse: a comparison with matched healthy controls. BMC Psychiatry 22:64. doi: 10.1186/s12888-022-03706-8

PubMed Abstract | Crossref Full Text | Google Scholar

Sussman, T. J., Posner, J., Jackowski, A. P., Correa, A., Hoffmann, E. V., de Oliveira, P., et al. (2022). The relationship between recent PTSD secondary to sexual assault, hippocampal volume and resting state functional connectivity in adolescent girls. Neurobiol. Stress 17:100441. doi: 10.1016/j.ynstr.2022.100441

PubMed Abstract | Crossref Full Text | Google Scholar

Sutherland, K., and Bryant, R. A. (2007). Autobiographical memory in posttraumatic stress disorder before and after treatment. Behav. Res. Ther. 45, 2915–2923. doi: 10.1016/j.brat.2007.08.009

PubMed Abstract | Crossref Full Text | Google Scholar

Tamnes, C. K., Bos, M. G. N., van de Kamp, F. C., Peters, S., and Crone, E. A. (2018). Longitudinal development of hippocampal subregions from childhood to adulthood. Dev. Cogn. Neurosci. 30, 212–222. doi: 10.1016/j.dcn.2018.03.009

PubMed Abstract | Crossref Full Text | Google Scholar

Tupler, L. A., and De Bellis, M. D. (2006). Segmented hippocampal volume in children and adolescents with posttraumatic stress disorder. Biol. Psychiatry 59, 523–529. doi: 10.1016/j.biopsych.2005.08.007

PubMed Abstract | Crossref Full Text | Google Scholar

van Dijke, A., Ford, J. D., Frank, L. E., and van der Hart, O. (2015). Association of childhood complex trauma and dissociation with complex posttraumatic stress disorder symptoms in adulthood. J. Trauma Dissoc. 16, 428–441. doi: 10.1080/15299732.2015.1016253

PubMed Abstract | Crossref Full Text | Google Scholar

Van Petten, C. (2004). Relationship between hippocampal volume and memory ability in healthy individuals across the lifespan: review and meta-analysis. Neuropsychologia 42, 1394–1413. doi: 10.1016/j.neuropsychologia.2004.04.006

PubMed Abstract | Crossref Full Text | Google Scholar

Wiebels, K., Addis, D. R., Moreau, D., van Mulukom, V., Onderdijk, K. E., and Roberts, R. P. (2020). Relational processing demands and the role of spatial context in the construction of episodic simulations. J. Exp. Psychol. Learn. Mem. Cogn. 46, 1424–1441. doi: 10.1037/xlm0000831

PubMed Abstract | Crossref Full Text | Google Scholar

Woon, F. L., and Hedges, D. W. (2008). Hippocampal and amygdala volumes in children and adults with childhood maltreatment-related posttraumatic stress disorder: a meta-analysis. Hippocampus 18, 729–736. doi: 10.1002/hipo.20437

PubMed Abstract | Crossref Full Text | Google Scholar

Woon, F. L., Sood, S., and Hedges, D. W. (2010). Hippocampal volume deficits associated with exposure to psychological trauma and posttraumatic stress disorder in adults: a meta-analysis. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 34, 1181–1188. doi: 10.1016/j.pnpbp.2010.06.016

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: post-traumatic stress disorder, adolescence, scene construction, mental simulation, hippocampus

Citation: Marlatte H, Ryan JD and Gilboa A (2025) Scene construction deficits in adolescent PTSD are in sensory, rather than spatial, imagery. Front. Psychol. 16:1589756. doi: 10.3389/fpsyg.2025.1589756

Received: 07 March 2025; Accepted: 16 June 2025;
Published: 06 August 2025.

Edited by:

Vitor Castro-Gomes, Rio de Janeiro State University, Brazil

Reviewed by:

Jennifer Strafford Stevens, Emory University, United States
Lucie Da Costa Silva, INSERM U1077 Neuropsychologie et Imagerie de la Mémoire Humaine, France

Copyright © 2025 Marlatte, Ryan and Gilboa. 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: Hannah Marlatte, aG1hcmxhdHRlQHJlc2VhcmNoLmJheWNyZXN0Lm9yZw==

These authors have contributed equally to this work

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