Abstract
Women that become mothers face notable physiological adaptations during this life-period. Neuroimaging studies of the last decade have provided grounded evidence that women's brains structurally change across the transition into motherhood. The characterization of this brain remodeling is currently in its early years of research. The current article reviews this scientific field by focusing on our longitudinal (pre-to-post pregnancy) Magnetic Resonance Imaging (MRI) studies in first-time parents and other longitudinal and cross-sectional studies of parents. We present the questions that are currently being answered by the parental brain literature and point out those that have not yet been explored. We also highlight potential confounding variables that need to be considered when analyzing and interpreting brain changes observed during motherhood.
Introduction
Motherhood is a transformative experience for women. It confers substantial anatomical and physiological changes in the endocrine, cardiovascular, respiratory, renal, and musculoskeletal systems of the mother (). Neuroimaging studies of the last decade have confirmed that the women's brain also undergoes visible structural changes during the motherhood transition. However, the nature of this brain remodeling is still in its early years of research.
In 2017, our group led one of the most notable longitudinal projects on this behalf: a study that tracked the neuroanatomical MRI data of primiparous women across three sessions: a few months before their first pregnancy, during the early postpartum, and at 2 years after parturition, using fathers and non-parents as comparison groups (). This study found prominent pre-to-post pregnancy volumetric Gray Matter (GM) reductions in theory-of-mind regions in first-time mothers. Since then, we have conducted several pre-to-post pregnancy longitudinal MRI studies to characterize the initially observed GM reductions and understand the potential underlying mechanisms. Here, we cover the brain structural findings that we have found so far and discuss variables that need to be considered to correctly interpret brain changes during the motherhood transition. The manuscript is divided into the main questions that our research group and other groups have aimed to directly or indirectly respond to through structural MRI. First, we summarize the neuroanatomic changes that have been detected through the motherhood transition. Then, we discuss the following topics: 1) which are the mediating factors behind these changes? 2) which are the underlying neural mechanisms? 3) what do we know about the changes' temporal course? and, 4) are deviations of these adaptations related to the emergence of postpartum mental health disorders? We also contemplate other factors not directly related to motherhood as potential confounders of the observed changes. This review article aims to provide cohesion to the structural parental brain literature and set future directions for those critical questions that remain unresolved.
For the sake of efficiency, during the manuscript, we will refer to mothers as persons who identify as women that undergo pregnancy through natural or assisted processes. Future studies need to address the unique brain processes of mothers that do not undergo pregnancy.
Neuroanatomic Changes During the Transition to Motherhood
Existing human neuroimaging studies have applied both longitudinal and cross-sectional designs to track the short-term effects of pregnancy on the brain. Figure 1A and Table 1 sum up and outline the most relevant findings from structural studies that track brain changes during the transition to motherhood.
Figure 1
Table 1
| Oatridge et al. ( | Kim et al. ( | Hoekzema et al. ( | Lisofsky et al. ( | Luders et at. ( | Zhang et al. ( | |
|---|---|---|---|---|---|---|
| Period * | Pre-pregnancy (n = 2) ➤22.5 weeks gestation (n = 4) ➤before delivery (n = 9) ➤6 weeks pp (n = 9) ➤24 weeks pp (n = 7) ➤40 weeks pp (n = 3) ➤1 year pp (n = 3) | 3 weeks pp ➤3.5 months pp | Pre-pregnancy ➤2 months pp | 2 months pp ➤5 months pp | 1.5 days pp ➤5 weeks pp | 1 year pp ➤2 years pp |
| Participants | 9 mothers | 19 mothers | 25 mothers and 25 nulliparous controls | 24 mothers and 24 nulliparous women | 14 mothers | 21 mothers |
| Primiparous | Not reported | 58% | 100% | 100% | 50% | 100% |
| Age at baseline (mean ± sd) | Mean: 31 years. Range: 20–38 years. | 33.27 ± 6.07 years | Mothers: 33.36 ± 3.97 years. Nulliparous: 31.10 ± 5.63 years | Mothers: 28.38 ± 3.41 years. Nulliparous: 25.42 ± 2.95 years | 32.8 ± 4.0 years | 30.03 ± 2.75 years |
| Processing method | Contour and thresholding semiautomatic technique | Voxel-based morphometry toolbox (SPM2) | Voxel-based morphometry toolbox (SPM12) | Voxel-based morphometry toolbox (SPM8) | Voxel-based morphometry toolbox (SPM8) | Volume in Computational Anatomy toolbox (SPM12) |
| Contrast and threshold | - | Post > Pre (p < 0.05 FDR-corr, extent > 100 voxels) | Mothers (Post-Pre) < Nulliparous women (Post-Pre) (peak level p < 0.05, FWE-corr) | Group by time interaction (p < 0.05 FWE-corr, exten t >200 voxels) | Post > Pre (peak level p <0.001, FWE-corr) | Post > Pre (peak level p <0.05, FDR-corr) |
| Direction | Brain size decreases until delivery, then increases | GM volume increases | GM volume decreases | GM volume increases | GM volume increases | GM volume decreases |
| MODIFIED REGIONS | ||||||
| Frontal regions | R superior frontal | Superior medial frontal | Superior frontal | |||
| Medial frontal | Medial frontal | |||||
| Middle frontal | L Middle frontal | Middle frontal | Middle frontal | |||
| Medial orbitofrontal | ||||||
| L inferior orbitofrontal | ||||||
| L inferior frontal | Inferior frontal | L inferior frontal | Inferior frontal | |||
| L Central and frontal operculum | ||||||
| L Superior Frontal | Ventro medial prefrontal | |||||
| Precentral | R medial precentral | Precentral | ||||
| R Paracentral | ||||||
| Temporal regions | L superior temporal | Superior temporal | ||||
| Middle temporal | ||||||
| Inferior temporal | ||||||
| Fusiform | ||||||
| Parietal regions | Precuneus | Precuneus | R precuneus | R precuneus | ||
| Superior parietal | L Superior parietal | |||||
| Inferior parietal | ||||||
| R middle occipital | ||||||
| Postcentral | R postcentral | Postcentral | ||||
| Insular cortex | Insula | L Insula | L insula | |||
| Cingulate cortex | R anterior cingulate | Anterior/posterior cingulates | Anterior cingulate | |||
| Cingulate | ||||||
| Subcortical regions | ||||||
| L hippocampus | ||||||
| R Parahippocampal | Parahippocampal | R Parahippocampal | ||||
| L Nucleus accumbens | ||||||
| R Thalamus | Thalamus | Thalamus | ||||
| Cerebellum | Cerebellum | R Cerebellum | ||||
| Caudate | L caudate | Caudate | ||||
| Substantia nigra | ||||||
| R amygdala | ||||||
| R Putamen | ||||||
| Mammilary body | ||||||
| R globus pallidum | ||||||
| Hypothalamus | ||||||
| L brainstem (pons, medulla) | ||||||
| Additional structural findings ** | Ventricular size increases until delivery, then decreases | Cortical thickness and area decreases (Freesurfer v5.3) GM decreases maintained up to 2 years pp | Decreased BRAIN age index ( R hippocampus (subiculum,CA2 and CA3) ( | WM increases and cortical thickness decreases. Cross-sectional analysis mothers vs nulliparous women: lower GM and cortical thickness, higher WM and gyrification index | ||
| GM decreases maintained up to 6 years pp ( | ||||||
| Flattening of the cortex ( | ||||||
| L nucleus accumbens decreases ( | ||||||
Summary of the characteristics and findings of the longitudinal MRI structural studies tracking the maternal brain.
Periods were reported as the mean time-points when the scans were acquired.
The additional structural findings come from other studies or analyses that have used the same participants sample. pp, postpartum; FDR, false discovery rate; FWE, family wise error; GM, gray matter; WM, white matter; L, left hemisphere; R, right hemisphere; p, p-value.
The study of the women's brain changes associated with pregnancy dates to the first half of the twentieth century. In 1931, enlargements of the pituitary gland, one of the primary sources of prolactin during pregnancy, were first observed in deceased pregnant women (
In 2017, our research group longitudinally compared the brains of first-time mothers from preconception to 2 months postpartum (pre-to-post hereafter) and found pronounced GM volume reductions within cortical regions that highly overlapped with the theory-of-mind or Default Mode (DM) network (
Other longitudinal studies have approached this question by analyzing how the brain changes during the postpartum period (
Of note, many of the modified regions found by these longitudinal studies coincide (Table 1). Cortical regions that consistently change in mothers include frontal areas, superior temporal and parietal gyri, precuneus, postcentral, and precentral gyri, anterior cingulate cortex and insula, most of which are DM nodes, and common subcortical regions are the hippocampus, amygdala, thalamus, caudate, nucleus accumbens, and cerebellum.
Cross-sectional designs have also found GM structural variations in the maternal brain. Lisofsky et al. (
Brain regions whose structure changes in mothers (Table 1) are consistent with functional modifications reported during postpartum. A group of event-related functional MR studies scanned mothers at 48 h of delivery and again at 4–7 weeks postpartum and found that the later postpartum session was characterized by lower activity during response inhibition within inferior frontal, anterior cingulate and precentral regions (
Taken together, literature suggests that motherhood is associated with dynamic brain adaptations in cortical regions that overlap with the DM/ theory-of-mind network and subcortical reward regions. These adaptations seem to differ in magnitude and direction depending on the time frame studied. Specifically, longitudinal studies indicate a GM volume decrease (
Which are the Mediating Factors?
Researchers have not disentangled yet which factors trigger and coordinate the brain morphometric changes observed in mothers. Theoretically, these changes could be mediated either by intrinsic pregnancy-related hormonal factors, by extrinsic environmental factors that translate to internal signals, or a combination of both. As discussed in the previous section, the brain adaptations to motherhood are not linear but instead seem to differ during pregnancy and postpartum, two periods characterized by unique physiological events (gestation vs. lactation), endocrine fluctuations (
Pregnancy Hormones
The transition to motherhood is characterized by unparalleled hormonal fluctuations that orchestrate the physiological changes that mark pregnancy, parturition, and lactation (
In animals, maternal behavior is triggered by the hormonal events of late pregnancy and parturition (
In humans, the primary approach to investigate how hormones impact the brain is to analyze the women's brain during natural steroid hormonal transitional periods. The common thread of every woman's hormonal transition, either natural (menstrual cycle, puberty, pregnancy and menopause) or assisted (oral contraceptives and hormone replacement therapy) are fluctuations of the E2 steroid hormone. Although mainly synthesized by the gonads, E2 can also be secreted within many brain regions, including the hippocampus, where it exerts rapid cell-to-cell paracrine effects and regulates memory and learning processes (
Adolescence is the transitional period closest to pregnancy in terms of hormonal milieu, since both periods are characterized by steady increases in sex-steroid hormones. Moreover, widespread GM brain changes (
Parenting Experience
Although the above literature leads us to consider pregnancy-induced hormones as the primary mediators of maternal brain changes, there are also reasons to think that experience-dependent changes associated with approaching parenthood—which include, but are not restricted to, the interaction with the baby—might also account for the pattern of neural changes observed in mothers. Brain plasticity can also be induced by environmental signals (
In the human literature, researchers have tried to disentangle the reproductive-induced and experience-induced effects by studying the associations between the degree of maternal brain changes and variables that account for the amount of time the mother spends with her infant. Several studies, including our investigations, have addressed this approach by including in their analyses the time between the birth and the neuroimaging assessment (
One other approach to disentangle the reproductive-induced from the experience-induced influence over the parental brain is to analyze the brain adaptations in individuals that experience the parental transition without the reproductive experience. Following that research line, we conducted a longitudinal study in first-time fathers and a group of childless men as a control group (57). We found that fatherhood entails “preconception-to-postpartum” cortical volume and thickness reductions that were positively associated with the father's neural response to pictures of his baby. These reductions were less pronounced and affected fewer parts of the brain compared with those observed in first-time mothers (57). Neural changes in fathers have also been reported during the postpartum period (58) and were different in direction and affected regions compared to those reported in mothers in a similar study by the same group (
Other Mediating Factors
Beyond parent-infant interaction, there are additional experiences often associated with parenting that might as well contribute to the observed maternal brain changes. 44.5% and 55% of mothers have poor sleep quality during pregnancy and postpartum, respectively (63). A recent study in men and women in their twenties revealed that one night of sleep deprivation was sufficient to induce GM density increases and GM cortical thickness decreases (64). We thus cannot exclude with certainty a partial contribution of perinatal sleep deprivation to the observed GM changes. Stress, either arising from a challenging perinatal environment or from complications during gestation or childbirth, can also influence how women adjust to motherhood (65). Indeed, functional MRI studies find associations between high parenting stress and mothers' brain responses to their infants (66). Future studies should test whether stress disrupts the neuroadaptations to parenting.
Taken together, current evidence suggests that both pregnancy-induced and experience-induced factors can trigger structural changes in the mother's brain. Future studies collecting more specific reproductive-induced (such as hormonal levels) as well as experience-induced factors (such as maternal care, or stress and sleep quality) and comparing the maternal brain adaptations between gestational and non-gestational mothers will help better discern the impact of gestational and environmental factors on the maternal brain.
What are the Neural Mechanisms?
Our current understanding of the potential neural mechanisms that evoke the macroscopic changes observed during motherhood primarily relies on non-human animal experiments and a few human naturalistic experiments.
In non-human animals, there is extensive evidence that maternal behavior activation involves neural plasticity within several maternal brain regions such as the hippocampus, prefrontal cortex (PFC), basolateral amygdala, nucleus accumbens, and hypothalamus [(
During pregnancy, sex-steroid hormones coordinate changes in the mother's immunological system to adapt it to the specific needs of every gestational stage. The three main immune stages are a first pro-inflammatory burst during implantation, followed by an anti-inflammatory state to tolerate the fetus and a final pro-inflammatory peak at parturition (
Besides their role as immune macrophages, microglia also sculpt neural circuits during brain maturational periods. During adolescence, microglia mediate synaptic pruning by promoting synaptogenesis and engulfing faulty synapses (74–76). Synaptic pruning selectively eliminates redundant synapses during this transition, which is thought to enhance the brain circuitry efficiency in adolescents (77, 78). It has been suggested that the reductions in neuropil and glial elements that surround the pruned synapses, rather than the pruned synapses themselves, are more likely to contribute to the cortical volume and thickness reduction seen in adolescence (79). As previously mentioned, we compared the cortical and sulcal morphometric changes that occur during pregnancy with those occurring during female adolescence and observed the same pattern of morphometric changes in both female samples, that is, a loss of surface area and cortical thickness, and a sulcal widening, causing an overall flattening of the cerebral cortex (
Rat studies have revealed another pregnancy-induced neuroplasticity event that involves reductions. Physiological events that stimulate oxytocin pulsatile firing (i.e., parturition, lactation, or dehydration) reduce the astrocytic coverage of oxytocin secreting magnocellular neurons in the hypothalamic supraoptic nucleus of rats (80, 81). This increased juxtaposition of nearby neurons facilitates the formation of new synapses, stimulating the contractile (82) and anti-diuretic (83) properties of the oxytocin during birth and lactation. In humans, the small size of the hypothalamus and the lack of clear contrast with its surrounding tissue makes the detection of changes within this region very challenging. Combining more precise automatic segmentation tools of the hypothalamus (84) with higher resolution T1 and T2-weighted MR acquisitions is promising for investigating pregnancy-induced hypothalamic changes.
A third mechanism that might be operating in the observed GM reductions is WM myelination. Pregnant women with demyelinating illnesses such as Multiple Sclerosis (MS) have significantly fewer relapses during the last gestation trimester (85) -when sex-steroid and prolactin hormonal levels are highest-, suggesting that hormonal factors at the end of pregnancy ameliorate the demyelination of this disease. Rodent studies are revealing the mechanism through which such MS improvement might occur. After inflecting WM lesions to pregnant, virgin, and postpartum female rats, Kalakh and Mouihate (86) found less demyelination in pregnant rats compared to the other two groups, an effect that diminished after blocking the dam's GABA receptors or when allopregnanolone (a progesterone metabolite) was antagonized. This study evidenced that the progesterone-mediated GABAergic inhibition that down-regulates the stress axis during pregnancy promotes myelin repair by enhancing the proliferation of oligodendrocytes. The authors also suggested that microglia cells contributed to such re-myelination process by phagocytizing myelin debris. Pregnancy seems to also induce myelination in healthy, free of WM lesions dams. For instance, Gregg et al. (87) found increased oligodendrocytes proliferation during pregnancy, followed by increased axon myelination during postpartum in dams compared to virgin females. Similarly to Kalakh and Mouihate (86), these authors found a pregnancy-induced increased myelin repair capacity after using an acute demyelinating injury. However, Gregg et al. (87) found that prolactin rises -instead of progesterone rises—triggered the observed oligodendrocyte proliferation. Chan et al. (73) found increased whole-brain diffusivity during rat pregnancies, which is a sign of a more diffusion-friendly environment for the water through brain tissues. Based on Gregg et al. (87) and Kalakh and Mouihate (86) findings, it is plausible that pregnancy enhances myelin repair processes, in turn increasing WM integrity, myelination and water diffusivity. However, other processes such as increased extracellular fluid or cell shrinkage might also contribute to these enhanced water diffusion properties. All in all, these rodent studies suggest that pregnancy promotes myelin repair and that both prolactin and progesterone might play an essential role in this process.
Increased myelination can also lead to voxels at the WM and GM interface being misclassified as GM, thus inducing an apparent decrease in cortical volume. It is also plausible that increases in WM are concomitant to the observed cortical GM changes. Together with reporting GM volume and thickness changes, Zhang et al. (
A last possibility would be that the GM reductions in mothers reflect neurodegenerative processes. E2 drop after birth provokes a microglial pro-inflammatory state that can lead to neural injury. It is thus possible that a disbalance of the neuroimmune environment during the motherhood transition could lead to neural injury and predispose for mental health disorders. Indeed, inflammatory levels were ranked as the second-best, after depression history, predictor for postpartum depression levels (90). However, we believe it is unlikely that the changes in GM that occur during a healthy motherhood transition reflect a neurodegenerative process. Pregnant women often report memory deficits while pregnant (91). However, the few cognitive assessments during postpartum have mixed findings: some authors report poorer cognitive performance in postpartum mothers compared to non-mothers (92–94), while other studies have not found any cognitive decline in mothers (95) nor cognitive differences between mothers and non-mothers (95). The reported cognitive impairments could be biased by the physical (i.e., sleep levels) or psychological stressors that come with the motherhood transition, rather than reflecting a neural-mediated cognitive incapacity. In support of this, scholars have recently proposed the “cognitive costs of reproduction model,” which hypothesizes that perinatal cognitive declines result from the mother's temporary reallocation of metabolic and attentional resources to boost the fetus' development and the mother-infant relationship (96). Neuroimaging studies that have compared the mother's brain with the brain of nulliparous women have not found cognitive differences among these two groups (
In contrast to the GM reductions observed from before to after pregnancy, the postpartum period is characterized by increases in GM volume (
The human maternal brain literature has mainly relied on T1-weighted images, a modality with limited ability to capture tissue contrasts other than the GM and WM ones. Multimodal MR imaging (that is, combining information from different MR contrasts or modalities) is a promising approach to overcome the limitations of each MR modality and provide a comprehensive non-invasive histological picture of the brain. Complementing T1-weighted MR sessions with other MR contrasts or modalities will inform on different tissue macrostructure aspects such as hippocampal and hypothalamic subfields (through high-resolution T2-weighted sequence), and microstructure aspects such as the types of cells (neuronal or glial) and processes (apoptosis, neurogenesis, differentiation) involved (through 1H multivoxel spectroscopy).
In conclusion, motherhood-induced anatomical brain changes are likely to involve simultaneous neural processes affecting both GM and WM tissues, and microglia seems to have a crucial role regulating these processes. Also, distinct neural mechanisms seem to be operating under pregnancy and postpartum periods, resulting in opposite neuroanatomic directional trends. MR advances that increase the anatomical resolution of the images and better determine the microstructural tissue properties are required to elucidate the neural mechanisms behind the macroscopic brain changes observed in mothers.
Which is the Temporal Course of the Changes?
Another critical research line in the parental brain focuses on determining the temporal course of the motherhood-induced brain changes. Existing longitudinal studies have not yet resolved whether this plasticity emerges during pregnancy, parturition, or postpartum. Also, there are mixed results on whether the mother's brain returns to baseline levels after the first 2 years postpartum or remains altered beyond this critical period of maternal investment. Some studies are even considering that the motherhood-induced changes might be permanent.
There is no solid evidence on when exactly human maternal brain changes start. Rodent studies give us some preliminary insights. Haim et al. (69) analyzed the brain's immune cells of dam rats at the beginning, middle, and end of gestation and found reduced microglial density from late pregnancy extending into the postpartum period. Besides, Barrière et al. (
The other question regarding the temporal course of the changes is whether they are confined to the period of maximal maternal investment or instead persist beyond that period. During the first 2 years of life, infants are highly dependent and require substantial parental investment. This period is equivalent to the “pre-weaning” period of rodents. Several studies using diverse timeframes have detected GM changes in mothers from birth until 2 years postpartum, but most of the studies have not explored the maternal brain beyond that “weaning” period. Literature in rodents indicates that reproductive experience confers both long-term behavioral and neural changes that are evident beyond weaning, and short-term neural changes that restore at late postpartum. On the one hand, post-weaned dam rats are less anxious and fearful than virgin rats and have better foraging strategies (100, 101), and spatial learning and memory skills (100–102). At the neural level, aged parous rats present modifications in hippocampal plasticity (103, 104) and estrogen sensitivity (105) and less markers of brain aging (102). On the other hand, microglia density changes detected in rats during late gestation and early postpartum return to baseline levels after weaning (69). In humans, similar processes are likely to happen: some neural changes might be lasting while others not [reviewed in Duarte-Guterman et al. (106)]. With a notable difference: unlike the rest of the non-human altricial species, human maternal behavior extends beyond the “weaning” period and is often everlasting. Therefore, more long-term neural modifications are expected in human mothers compared to any other animal species.
Trying to fill this gap of knowledge, in a recent study we followed the primiparous mothers of the study of Hoekzema et al. (
Other brain regions have been found to change during pregnancy but fully or partially reverse to baseline levels after the immediate postpartum. The gradual increase of the pituitary gland observed during pregnancy returns to normal size coinciding with the end of breastfeeding (
Recent investigations have approached the long-term effects of parenthood by analyzing how elderly subjects who became parents decades ago differ neuroanatomically from those who did not have children. In elder women, a higher number of previous children has been found to be associated with less apparent brain aging in WM (89), cortical (89, 107) and subcortical regions (108), larger global GM cortical volume (89) and thickness (109) and distinct patterns of resting state functional connectivity (110). In Ning et al. (111), middle-aged females and males with a higher number of children displayed better visual memory, faster response time, and lower predicted brain age, suggesting that lifestyles associated with parenting, rather than the physiology of pregnancy and lactation themselves, might be beneficial for brain aging processes. Altogether, these studies suggest that motherhood exerts neural changes that persist into older age.
Given these findings, we believe it is necessary that human neuroimaging databases and studies that track brain trajectories across lifespan start including parity-related variables as part of the participants' relevant demographic information.
Do These Structural Changes Have an Implication in Postpartum Mental Health?
The physiological and endocrine signals around the peripartum ensure labor and help establish lactation, while putting the mother at risk for developing mental health disorders. Placental separation at birth causes rapid progesterone and estradiol withdrawal, whose levels remain low during the early postpartum (112). This rapid drop triggers neurochemical deficiency in the serotonin and dopamine systems and affects the GABAergic inhibitory system, a neurochemical pattern that resembles a depression-like scenario [discussed in Sacher et al. (113)].
Postpartum mood changes resulting from such hormonal changes and increased stress and loss of sleep are expected in mothers after birth, but one in every five postpartum mothers experience a much more severe disorder: postpartum depression (PPD) (
Neuroscience researchers are bringing efforts to identify the unique neurobiological and pharmacokinetic profiles of PPD, and numerous authors have reviewed the neuroimaging literature on the topic (113, 116–118). In humans, functional MR Imaging is the current preferred choice of study of PPD. A wide range of task-based functional studies have compared the neural activations of mothers with PPD diagnosis (or depression predisposition) and non-depressed mothers upon infant stimuli. Given its vast implication in depression symptomatology, most studies chose the amygdala as the seed region of interest (119) followed by the PFC (119, 120) anterior cingulate cortex (120) and ventral striatum (119). In contrast, two studies explored activations at the whole-brain level (121, 122). Studies usually compare the pattern of brain activation while exposing mothers to cues of their baby vs. of unrelated babies (121–125), although some studies have also used as stimuli unrelated infants crying (120), images of adult faces (119), and emotionally valenced words (126, 127). These studies also vary in the proportion of primiparous and unmedicated mothers, diagnosis criteria, and postpartum time-points assessed. Still, most of the analyses find differential BOLD activation within the amygdala, anterior cingulate cortex, prefrontal cortex, insula and ventral (nucleus accumbens), and dorsal (caudate and putamen) striatum, and disrupted connectivity between the amygdala and the insula (123), nucleus accumbens and anterior cingulate regions (120). Notably, these structures coincide with the changing regions reported in Table 1. Wonch et al. (123) found that mothers' amygdala response and functional connectivity between the amygdala and insula differed between primiparous and experienced mothers, stressing the importance of studying primiparity and multiparity separately. Dudin et al. (124) were the first to report differences in amygdala responsivity between mothers with PPD and women with major depression, using as controls non-depressed mothers and non-depressed women. This study was pioneer in characterizing the unique neural profiles of depression during the perinatal period compared to depression arousals at other times in a woman's life, which has been reviewed by Pawluski et al. (128).
Maternal brain researchers have also applied rsfMRI to capture the basal patterns of disrupted functional connectivity in mothers with PPD. Given that this MRI modality does not require the cognitive engagement of the mothers while scanning, it offers unique insights into the neuroscience behind PPD. Studies investigating PPD through rsfMRI are diverse in analyses but have consistently explored connectivity patterns from the amygdala and cortical DM nodes. Besides, unlike task-based functional MRI studies, all resting-state studies have excluded medicated mothers to remove potential pharmacological interactions with the results. Five studies explored resting-state functional connectivity patterns in depressed and non-depressed mothers at the whole-brain level (129) or using seed analyses from the posterior cingulate cortex (130, 131), the anterior cingulate cortex, amygdala, hippocampus, and dorsolateral prefrontal cortex (dlPFC) (132), and the dorsomedial prefrontal cortex (dmPFC) (133). These studies found information flow direction changes (129), reduced interhemispheric connectivity (131), and altered (increased, decreased or opposing) functional connectivity (132, 133) among the seed regions (132), between the seed regions and DM cortical nodes (133), thalamus, caudate (132) and amygdala (130), and among DM cortical nodes (129–131) and the amygdala (129). Two other studies analyzed changes in the regional or local resting-state homogeneity in PPD and non-PPD mothers through Regional Homogeneity (ReHo) or fractional Amplitude of Low Frequency Fluctuation (fALFF) methods (134, 135), rendering mixed results of increased and decreased DM regional homogeneity in PPD mothers compared to healthy mothers. The depression scores of mothers with PPD correlated with the regional (135), interhemispheric (131), and DM connectivity of the dmPFC (131, 133) or the dlPFC (135), suggesting that functional connectivity in this region is especially relevant in the severity of PPD.
As observed, task-based and resting-state studies in mothers with PPD find functional disruptions in regions that match with the frontal, temporal, and cingulate cortical regions and subcortical regions (amygdala, hippocampus, thalamus and striatum) that are structurally modified in healthy mothers (Table 1), suggesting that PPD might disrupt neuroanatomic trajectories during motherhood transition. Despite this significant overlap, no human study to date has analyzed the brain structure of mothers with PPD. Instead, human studies that track brain structural trajectories across motherhood have focused on delineating the healthy pattern of brain adaptations. The pre-to-post pregnancy sample of Hoekzema et al. (
Conclusions
Our understanding of the human maternal brain has grown considerably during the last 20 years. Before the twentieth century, scholars established the neuroendocrinology of maternal behavior in rodents (
Funding
This work was supported by Ministerio de Ciencia e Innovación project RTI2018-093952-B-100 and by Instituto de Salud Carlos III projects CP16/00096 and PI17/00064, and co-funded by European Regional Development Fund (ERDF), A way to make Europe. MM-G was funded by Ministerio de Ciencia e Innovación, Instituto de Salud Carlos III, Predoctorales de Formación en Investigación en Salud (PFIS) (contract FI18/00255) and a predoctoral Fulbright grant. SC was funded by a Miguel Servet Type I research contract (CP16/00096). MM-G and SC were co-funded by European Social Fund Investing in your future. The project leading to these results has received funding from la Caixa Foundation under the project code LCF/PR/HR19/52160001, from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 883069), and from the Centro Nacional de Investigaciones Cardiovasculares (CNIC). The CNIC is supported by Instituto de Salud Carlos III (ISCIII), Ministerio de Ciencia e Innovación and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (SEV-2015-050).
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Statements
Author contributions
MM-G, SC, and MP-D contributed to the conception and design of the review. MM-G wrote the first drafts of the manuscript. SC designed the figure. All authors contributed to manuscript revision, read, and approved the submitted version.
Acknowledgments
The authors acknowledge all the participants that contributed to our neuroimaging studies.
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.
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Summary
Keywords
mother, neuroplasticity, MRI, maternal behavior, pregnancy
Citation
Martínez-García M, Paternina-Die M, Desco M, Vilarroya O and Carmona S (2021) Characterizing the Brain Structural Adaptations Across the Motherhood Transition. Front. Glob. Womens Health 2:742775. doi: 10.3389/fgwh.2021.742775
Received
16 July 2021
Accepted
10 September 2021
Published
07 October 2021
Volume
2 - 2021
Edited by
Lauren M. Osborne, Johns Hopkins University, United States
Reviewed by
Anne T. M. Konkle, University of Ottawa, Canada; Orli Dahan, Tel Hai College, Israel
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Copyright
© 2021 Martínez-García, Paternina-Die, Desco, Vilarroya and Carmona.
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: Magdalena Martínez-García mmartinez@hggm.esSusanna Carmona scarmona@hggm.es
This article was submitted to Women's Mental Health, a section of the journal Frontiers in Global Women's Health
Disclaimer
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