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Article
Dec 2011

Corticostriatal-Limbic Gray Matter Morphology in Adolescents With Self-reported Exposure to Childhood Maltreatment

Author Affiliations

Author Affiliations: Departments of Psychiatry (Mss Edmiston and Guiney and Drs Wang, Mazure, Sinha, Mayes, and Blumberg) and Diagnostic Radiology (Dr Blumberg) and the Child Study Center (Drs Sinha, Mayes, and Blumberg), Yale University School of Medicine, and the Department of Psychology (Drs Mazure and Mayes), Yale University, New Haven, Connecticut. Ms Edmiston is now with Vanderbilt University, Nashville, Tennessee.

Arch Pediatr Adolesc Med. 2011;165(12):1069-1077. doi:10.1001/archpediatrics.2011.565
Abstract

Objective To study the relationship between self-reported exposure to childhood maltreatment (CM) and cerebral gray matter (GM) morphology in adolescents without psychiatric diagnoses.

Design Associations were examined between regional GM morphology and exposure to CM (measured using a childhood trauma self-report questionnaire for physical, emotional, and sexual abuse and for physical and emotional neglect).

Setting University hospital.

Participants Forty-two adolescents without psychiatric diagnoses.

Main Outcome Measures Correlations between childhood trauma self-report questionnaire scores and regional GM volume were assessed in voxel-based analyses of structural magnetic resonance images. Relationships among GM volume, subtypes of exposure to CM, and sex were explored.

Results Childhood trauma self-report questionnaire total scores correlated negatively (P < .005) with GM volume in prefrontal cortex, striatum, amygdala, sensory association cortices, and cerebellum. Physical abuse, physical neglect, and emotional neglect were associated with rostral prefrontal reductions. Decreases in dorsolateral and orbitofrontal cortices, insula, and ventral striatum were associated with physical abuse. Decreases in cerebellum were associated with physical neglect. Decreases in dorsolateral, orbitofrontal, and subgenual prefrontal cortices, striatum, amygdala, hippocampus, and cerebellum were associated with emotional neglect. Decreases in the latter emotion regulation regions were also associated with childhood trauma self-report questionnaire scores in girls, while caudate reductions (which may relate to impulse dyscontrol) were seen in boys.

Conclusions Exposure to CM was associated with corticostriatal-limbic GM reductions in adolescents. Even if adolescents reporting exposure to CM do not present with symptoms that meet full criteria for psychiatric disorders, they may have corticostriatal-limbic GM morphologic alterations that place them at risk for behavioral difficulties. Vulnerabilities may be moderated by sex and by subtypes of exposure to CM.

An estimated 3.7 million children are assessed for childhood maltreatment (CM) each year in the United States; because many cases do not come to professional attention, this likely is an underestimate of the number of children experiencing maltreatment.1 Increasing evidence suggests that these children may endure long-lasting neural consequences of CM that place them at risk for behavioral and psychiatric sequelae. Converging data support adverse effects of early life stress on morphologic development of corticostriatal-limbic structures.2-4 Magnetic resonance imaging studies5-14 show decreased corticostriatal-limbic gray matter (GM) volume in children and adults reporting exposure to CM. Gray matter changes in the intervening adolescent epoch can also be inferred. However, few investigations focus on the neurobiological effects of CM in adolescents.

Corticostriatal-limbic GM volume decreases are well established in adults reporting CM. Hippocampus has been the region most studied in adults reporting exposure to CM, consistently demonstrating volume decreases.5,8-10,13,15 Volume reductions in prefrontal cortex (PFC), striatum, and amygdala have also been demonstrated in studies8-12,16 of adults reporting CM. Furthermore, preclinical CM models implicate more widespread corticostriatal-limbic involvement,3,16,17 suggesting that a whole-brain approach may be especially helpful in revealing distributed CM effects. Neuroimaging investigations of CM have largely assessed adults with psychiatric diagnoses, especially posttraumatic stress disorder (PTSD) and borderline personality disorder, limiting the ability to ascertain whether brain changes are related to CM, the disorders, or both. This research also often focused on CM broadly, hindering the determination of the effects of subtypes of CM.

There are fewer imaging investigations of children exposed to maltreatment. Decreases in PFC volume observed in pediatric samples with PTSD secondary to CM suggest that some PFC changes observed in adults with CM may have originated in childhood.18 However, some regional GM differences between pediatric and adult manifestations of CM are also suggested. For example, investigations of children reporting CM do not show the hippocampal volume decreases that are prominent in adults. It has been suggested that this may be a result of delayed expression of the effects of CM in this brain region.14,19 Similar to investigations in adults, studies in children have been performed largely in samples with PTSD and have not investigated the effects of subtypes of abuse or neglect.

Associations between CM and GM volume in adolescents are implicated, but few studies focus on adolescents. Adolescents have been included in some pediatric investigations, often analyzed together with prepubertal children. A 2010 study20 of adolescents reporting general early-life adversities, ranging from experiencing physical neglect and emotional abuse to witnessing domestic violence to having a life-threatening injury, showed decreases in hippocampus volume. This suggests that some GM differences found in adults, such as those in hippocampus, may be expressed by the time of adolescence. To our knowledge, no prior study has focused on adolescents reporting CM and used a whole-brain approach to assess distributed brain effects.

Similarities and differences in the sequelae of different types of abuse and neglect are unknown but could indicate differing vulnerabilities and the need for different detection and intervention approaches.21 Although physical abuse and sexual abuse have been associated with increased depression risk,22,23 evidence increasingly suggests that emotional maltreatment may also influence the development of negative self-associations and depression.24-28 Furthermore, hippocampal and striatal alterations in adults have been associated with reported childhood emotional neglect,9,29 suggesting that such neglect may have long-lasting effects on corticostriatal-limbic regions subserving emotion regulation. Sex differences may also modify the effects of CM on corticostriatal-limbic morphology. Sexually dimorphic development of stress-sensitive corticostriatal-limbic regions30-33 has been suggested to contribute to sex differences in psychiatric disorders, such as in regions subserving emotions and in increased depression risk in females, and in regions subserving impulse control and in increased risk for substance abuse in males.34-39

In this morphometric structural magnetic resonance imaging study, we used a whole-brain approach to study the regional distribution of GM volume differences associated with self-reported CM in adolescents without psychiatric diagnoses. We hypothesized that CM severity would be inversely associated with volume in distributed corticostriatal-limbic GM regions, including PFC, striatum, amygdala, and hippocampus. Furthermore, we hypothesized that different subtypes of maltreatment would be associated with varying regional patterns of GM reductions, with emotional maltreatment associated with reductions in corticostriatal-limbic regions subserving emotion regulation. We also performed exploratory analyses by sex. We anticipated that GM volume reductions in corticostriatal-limbic brain regions subserving emotion regulation would be associated with CM exposure in girls, while GM volume reductions in regions subserving impulse control would be associated with CM exposure in boys.

Methods

Participants included 42 adolescents (age range, 12-17 years; mean [SD] age, 15.33 [1.37] years; 50% female; and 19 white, 19 African American, and 4 of >1 race/ethnicity) without Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) Axis I diagnoses, confirmed by the revised Schedule for Affective Disorders and Schizophrenia for School-Age Children–Present and Lifetime Version 2.0 administered to participants and their parents or guardians.40 Participants were recruited from a sample of children identified at birth to be at high risk for CM and followed up longitudinally by L.C.M. Additional participants were also recruited from the greater New Haven, Connecticut, community, allowing for a sample of adolescents reporting a spectrum of CM severity. Participants had no history of neurological illness, head trauma with loss of consciousness, or major medical disorder. Written informed consent was obtained from parents or guardians, and assent was obtained from minors, in accord with requirements by the institutional review board of the Yale University School of Medicine.

Participants completed the Childhood Trauma Questionnaire (CTQ),41,42 a self-report questionnaire on experience of the following 5 subtypes of maltreatment in childhood: physical abuse, physical neglect, emotional abuse, emotional neglect, and sexual abuse. Physical abuse is defined as bodily assaults on a child by an older person that pose a risk of or result in injury (eg, “People in my family hit me so hard that it left me with bruises or marks”). Physical neglect is defined as failure of caregivers to provide for a child's basic physical needs, including food, shelter, safety, supervision, and health (eg, “I didn't have enough to eat”). Emotional abuse is defined as verbal assaults on a child's sense of worth or well-being or as any humiliating, demeaning, or threatening behavior directed toward a child by an older person (eg, “People in my family said hurtful or insulting things to me”). Emotional neglect is defined as failure of caretakers to provide basic psychological and emotional needs, such as love, encouragement, belonging, and support (eg, “People in my family felt close to each other”). Sexual abuse is defined as sexual contact or conduct between a child and an older person (eg, “Someone tried to make me do sexual things or try sexual things”). Participants rated items on the CTQ using a 5-point scale ranging from “never true” to “very often true.” Each CTQ subscale has 5 items, so subscale scores range from 5 (no maltreatment) to 25 (severe maltreatment). The 5 CM subtype scores are summed for a CTQ total score. All but 6 participants reported some form of CM, defined as a score of 6 or higher on any of the 5 CM subtype scores. Physical abuse was reported by 16 participants, physical neglect by 18, emotional abuse by 23, emotional neglect by 34, and sexual abuse by 6.

t Tests were used to examine possible sex differences in age and in CTQ total and subscale scores. Commercially available software was used (Statistical Package for the Social Sciences for Windows, version 11.1; SPSS, Inc, Chicago, Illinois).43

High-resolution structural magnetic resonance images were obtained on a 3-T imaging system (Trio; Siemens, Erlangen, Germany) using a 3-dimensional magnetization–prepared rapid-acquisition gradient-echo T1-weighted sequence (repetition time, 1500 milliseconds; echo time, 2.83 milliseconds; field of view, 256 × 256 mm2; matrix, 256 × 256 pixels; 1.0-mm sagittal sections without gap; 160 sections; and 2 excitations). Images were processed with freely available software (Statistical Parametric Mapping 5 [ http://www.fil.ion.ucl.ac.uk/spm]) using a previous protocol.44 Briefly, the Statistical Parametric Mapping 5 segmentation function was used for bias correction, segmentation, and spatial normalization. The modulated GM images were spatially smoothed using an 8-mm full-width-at-half-maximum gaussian kernel.

Whole-brain linear regression analysis was performed in Statistical Parametric Mapping 5, covarying for age, to investigate the relationship between the CTQ total scores and GM volume. Additional regression analyses of CTQ subscale scores and GM volume were performed only for participants who reported the maltreatment subtype of CM. Separate exploratory regression analyses of the CTQ total scores were performed for female participants and for male participants. Results were considered significant at P < .005 (uncorrected) and cluster size of at least 50 voxels.

Results

Girls and boys did not differ significantly in age, CTQ total scores, or CTQ subscale scores. The CTQ total score showed significant inverse correlation with GM volume for the following: bilateral dorsolateral PFC (DLPFC) (Brodmann area [BA] 46/9), bilateral rostral PFC (RPFC) (BA 10), left subgenual PFC (sgPFC) (BA 25), bilateral striatum and right amygdala, as well as left parietal (BA 40/7) and right temporoparietal (BA 22/40) association cortices, bilateral temporal cortex (BA 20/21), right fusiform gyrus (BA 20/37), bilateral occipital association cortex (BA 18/19), bilateral cerebellum, and regions of hypothalamus and midbrain (Figure 1).

Figure 1. Decreases in gray matter associated with exposure to childhood maltreatment. Shown are regions where gray matter volume was inversely correlated with Childhood Trauma Questionnaire total scores (uncorrected P < .005 and cluster size of ≥50 voxels). The color bar shows t statistics and the numbers in white in the lower left corner of each image show the Montreal Neurological Institute z -plane coordinates (in millimeters).

Figure 1. Decreases in gray matter associated with exposure to childhood maltreatment. Shown are regions where gray matter volume was inversely correlated with Childhood Trauma Questionnaire total scores (uncorrected P < .005 and cluster size of ≥50 voxels). The color bar shows t statistics and the numbers in white in the lower left corner of each image show the Montreal Neurological Institute z -plane coordinates (in millimeters).

The CTQ subscale scores showed inverse association with GM volume for the following self-reported variables: (1) for physical abuse, left DLPFC (BA 46/9), left RPFC (BA 10), right orbitofrontal cortex (OFC) (BA 47), right ventral striatum, right insula, and right temporal association cortex (BA 20/21) (Figure 2A); (2) for physical neglect, left RPFC (BA 10), right parietal association cortex (BA 40/39), and bilateral cerebellum (Figure 2B); and (3) for emotional neglect, bilateral DLPFC (BA 46/9), bilateral RPFC (BA 10), bilateral dorsal anterior cingulate cortex (BA 24/32), right superior frontal gyrus (BA 8), right OFC (BA 47), bilateral sgPFC (BA 25), bilateral striatum, bilateral amygdala and hippocampus, left parietal association cortex (BA 40), right temporal association cortex (BA 20/38), left occipital association cortex (BA 18/19), bilateral cerebellum, and regions of hypothalamus and midbrain (Figure 2C). No significant results were found for emotional abuse or for sexual abuse.

Figure 2. Decreases in gray matter associated with exposure to subtypes of childhood maltreatment. Axial-oblique views show regions where gray matter volume was inversely correlated with Childhood Trauma Questionnaire subscale scores (uncorrected P < .005 and cluster size of ≥50 voxels) for physical abuse (A), physical neglect (B), and emotional neglect (C). The color bar shows t statistics and the numbers in white in the lower left corner of each image show the Montreal Neurological Institute z -plane coordinates (in millimeters).

Figure 2. Decreases in gray matter associated with exposure to subtypes of childhood maltreatment. Axial-oblique views show regions where gray matter volume was inversely correlated with Childhood Trauma Questionnaire subscale scores (uncorrected P < .005 and cluster size of ≥50 voxels) for physical abuse (A), physical neglect (B), and emotional neglect (C). The color bar shows t statistics and the numbers in white in the lower left corner of each image show the Montreal Neurological Institute z -plane coordinates (in millimeters).

In girls, the CTQ total scores were inversely correlated with GM volume in right RPFC (BA 10), bilateral OFC (BA 11/47), bilateral sgPFC (BA 25/32), bilateral amygdala and hippocampus, right insula, bilateral temporal association cortex (BA 20/21/38), bilateral fusiform gyrus (BA 20), right temporo-occipital association cortex (BA 37/19), left occipital association cortex (BA 18/19), and bilateral cerebellum (Figure 3A). In boys, the CTQ total scores were inversely correlated with GM volume in bilateral caudate, bilateral temporoparietal cortex (BA 37/40), and left temporo-occipital association cortex (BA 37/19) (Figure 3B). There was a trend toward an inverse association with left RPFC (BA 10) in boys; at 44 voxels, the cluster size was beneath the study threshold.

Figure 3. Decreases in gray matter associated with exposure to childhood maltreatment in girls and boys. T1-weighted axial-oblique views show regions where gray matter volume was inversely correlated with Childhood Trauma Questionnaire total scores (uncorrected P < .005 and cluster size of ≥50 voxels) in girls (A) and boys (B). The color bar shows t statistics and the numbers in white in the lower left corner of each image show the Montreal Neurological Institute z -plane coordinates (in millimeters).

Figure 3. Decreases in gray matter associated with exposure to childhood maltreatment in girls and boys. T1-weighted axial-oblique views show regions where gray matter volume was inversely correlated with Childhood Trauma Questionnaire total scores (uncorrected P < .005 and cluster size of ≥50 voxels) in girls (A) and boys (B). The color bar shows t statistics and the numbers in white in the lower left corner of each image show the Montreal Neurological Institute z -plane coordinates (in millimeters).

Comment

Our results indicate that self-reported exposure to CM is associated with reductions in GM volume in a distributed corticostriatal-limbic system, including DLPFC, RPFC, sgPFC, striatum, amygdala, and hippocampus, as well as parietal, temporal, and occipital association cortices and cerebellum. These findings were observed in a sample of adolescents without psychiatric diagnoses. Although preliminary, results of exploratory analyses support prominent reductions in RPFC volume common across physical abuse, physical neglect, and emotional neglect CM subtypes, as well as patterns of additional regional GM volume decreases in the CM subtypes. Findings in girls were in regions associated with emotion regulation, whereas findings in boys were in regions subserving impulse control.

Rodent and nonhuman primate models of CM show morphologic alterations in PFC, striatum, amygdala, and hippocampus.45-54 The mechanisms that underlie these changes are unclear; acute influences of stress on corticostriatal-limbic morphologic development demonstrated in the basic models include epigenetic effects on the hypothalamic-pituitary-adrenal axis, dysregulated functioning of neurotransmitter and intracellular signaling pathways, and reductions in neurotrophic factors and neurogenesis.3,50-54 These morphologic changes are associated with behavioral changes, including increased impulsive, anxious, and depressive behaviors.49,55-57 The effects sustained during adolescence have been postulated to result from secondary dendritic spine remodeling and alterations in neurodevelopmental trajectories.2,58

Associations between self-reported CM and volume reductions in RPFC and DLPFC were prominent findings in this study. The prefrontal cortex is one of the brain regions that is most vulnerable to stress in animal models, showing stress-related decreases in dendritic length, branching, and spine densities.3,48,50,59 The RPFC is associated with behavioral control functions, including attention direction, decision making, response inhibition, and emotion regulation.60-63 Bilateral DLPFC functions overlap RPFC functions and also include working memory, cognitive reappraisal of affective experience, and behavioral planning.64-68 Reductions in these PFC regions (coupled with our findings in striatum, with which PFC shares strong connections69) suggest that CM is associated with morphologic alterations in a neural system that subserves behavioral, cognitive, and emotional control functions that are frequently disrupted in those reporting CM.70

Reports of physical abuse were also associated with reductions in insula. The insula is central to interoceptive functions that monitor bodily and emotional states and has been implicated in the experience of bodily ownership and agency, as well as empathic perception of emotional states in others.71-75 We speculate that the association observed between physical abuse and the insula could contribute to alterations in perceptions of bodily ownership and personal agency, as well as dissociative symptoms observed in persons who have been exposed to childhood physical abuse.76-78

Volume decreases in sensory association regions, including temporoparietal and occipital areas, were noted across analyses. Consistent with studies showing alterations in emotional face perception in adults,79 adolescents,80 and children81,82 exposed to CM, we found decreases in the fusiform gyrus, a region associated with face perception.83 Our results in parietal association regions are notable given the association of attentional biases in perception with CM history in adults and children.84,85 Findings in these sensory association regions are consistent with parietal alterations observed in adults reporting CM exposure and borderline personality disorder86 and parietal and occipital alterations in PTSD,87 suggesting that CM may alter perceptual integration through adulthood via GM changes.

Reported physical neglect and emotional neglect were associated with volume decreases in cerebellum. The cerebellum has reciprocal connections with other CM-associated regions, including PFC, amygdala, and hippocampus,88,89 and contains high concentrations of glucocorticoid receptors.90 Rodent models of neglect suggest alterations in glucocorticoid receptor expression and cell degeneration in the cerebellum.91 Previous investigations show reductions in cerebellar volume in neglected children92 and in children with PTSD secondary to maltreatment.93 Cerebellar response has been associated with traumatic reminders in PTSD94 and with recollection of emotional autobiographic information and fear conditioning.95 Further studies of cerebellum in affective and anxious symptoms associated with CM are warranted.

Emotional neglect was also associated with volume reductions in a neural system subserving emotion regulation, including OFC, sgPFC, striatum, amygdala, and hippocampus,96,97 in which abnormalities have been shown in persons with mood disorders.98-100 Our results are consistent with rodent models of postnatal neglect that show decreases in brain-derived neurotrophic factor and neurogenesis in these corticostriatal-limbic regions.47,52,57,101 These findings suggest that early emotional neglect may alter the development of this emotion regulation system, conferring increased risk for the development of mood disorders.

Results of our preliminary analyses among female participants suggest that the association between CM and the neural system that subserves emotion regulation may be potent in female adolescents. Within this group, inverse associations were found between the CTQ total scores and GM volume in the RPFC, OFC, sgPFC, insula, temporal cortex, amygdala, hippocampus, and cerebellum. Pubertal hormones have organizing effects on this system, the development of this system and its development has been shown to be sexually dimorphic.31,32,102 Animal models suggest that estrogen may mediate stress sensitivity in PFC103 and in hippocampus.104 In contrast, in males, there was a trend toward reductions in RPFC, and reductions in caudate were significant; these regions are key components in the neural circuitry that underlies impulse control.69,70 The development of this circuitry is also sexually dimorphic.31,105 Estrogen has been demonstrated to have a neuroprotective effect in striatum, suggesting reduced vulnerability in this region among females.106 We speculate that the different regional patterns of GM decreases associated with self-reported CM in females and males may mediate their different vulnerabilities to disorders of mood and impulse control in adolescence.22,35,39,107-109

Limitations of this study include the small sample sizes, particularly for those reporting sexual abuse. Although results in emotion regulation regions in association with emotional maltreatment were consistent with our hypotheses, emotional neglect was the most frequently reported subtype of CM; findings observed only within this subgroup may have resulted from greater power to detect differences. Timing and duration of CM exposure may influence GM volume differences.110 The CTQ ratings are limited by the use of retrospective self-reports and do not assess ages at which maltreatment occurred, hindering exploration of possible differential effects of the timing of maltreatment on brain development. Because the regional distribution of volume decreases associated with CM are similar to those observed in individuals with psychiatric and behavioral difficulties, we interpreted the volume decreases to represent vulnerability factors. However, because the adolescents studied did not meet criteria for disorders in spite of adversity, it is also possible that the GM decreases reflect resiliency. Longitudinal studies could help clarify what interactions that may exist between CM and development and whether findings observed herein represent risk or resiliency factors.

We identified brain alterations in a sample of adolescents who did not meet criteria for psychiatric diagnoses, suggesting that in the absence of known psychiatric disorders CM may alter corticostriatal-limbic GM. The functions of these regions suggest that in adolescents exposed to CM such GM changes may contribute to a spectrum of behavioral difficulties, including alterations in self and interpersonal perceptions and in impulse, cognitive, and emotional control.27,111-113 Scores on the CTQ scale used to assess CM were rated by the adolescents themselves. Although there are alternate methods of determining CM histories, such as using reports by caregivers or established case histories in the clinical and child welfare settings, self-reports have been previously shown to be reliable and may be sensitive to CM that may not reach clinical awareness.41,42,114,115 Moreover, it has been theorized that an individual's perception of neglect or maltreatment may be especially relevant in the psychological and neuropsychological development of the child.116

Adolescence is a particularly vulnerable time for the development of mood, anxiety, and addictive disorders, and CM has been linked to increased vulnerability to these disorders.25,70,117-119 Findings herein suggest that corticostriatal-limbic brain changes may mediate increased risk for these disorders in association with self-reported CM. Together, these results highlight the critical need for improved understanding of effects of childhood abuse and neglect in adolescents and of possible differences in the effects of different CM subtypes on brain development. Although adolescents with a history of CM may have symptoms and behaviors that may not yet meet criteria for psychiatric diagnoses, detection and early intervention may help improve functioning and reduce risk for the development of mood, addictive, and other psychiatric disorders.

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Article Information

Correspondence: Hilary P. Blumberg, MD, Yale University School of Medicine, 300 George St, Ste 901, New Haven, CT 06511 (hilary.blumberg@yale.edu).

Accepted for Publication: April 20, 2011.

Author Contributions: Dr Blumberg had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Edmiston, Guiney, Sinha, Mayes, and Blumberg. Acquisition of data: Sinha, Mayes, and Blumberg. Analysis and interpretation of data: Edmiston, Wang, Mazure, and Blumberg. Drafting of the manuscript: Edmiston, Mayes, and Blumberg. Critical revision of the manuscript for important intellectual content: Wang, Mazure, Guiney, Sinha, and Blumberg. Statistical analysis: Wang, Sinha, and Blumberg. Obtained funding: Wang, Mazure, Sinha, Mayes, and Blumberg. Administrative, technical, and material support: Wang, Mazure, Guiney, Sinha, Mayes, and Blumberg. Study supervision: Wang and Blumberg.

Financial Disclosure: None reported.

Funding/Support: This work was funded by grants K01MH086621 (Dr Wang) and R01MH69747 and R01MH070902 (Dr Blumberg) from the National Institute of Mental Health, by grant UL1-DE19586 from the National Institutes of Health Roadmap for Medical Research Common Fund (Dr Sinha), and by grants PL1-DA24859 (Dr Sinha), RL1DA024856 (Drs Mayes and Blumberg), RL5DA024858 (Dr Mazure), and K05DA020091 (Dr Mayes) from the National Institute of Drug Abuse. The study was also supported by the National Alliance for Research in Schizophrenia and Depression (Drs Wang and Blumberg), Klingenstein Foundation (Dr Wang), Women's Health Research at Yale (Drs Mazure and Blumberg), and Attias Family Foundation (Dr Blumberg).

Role of the Sponsors: The funding organizations had no role in the design or conduct of the study; collection, management, analysis, or interpretation of the data; or preparation, review, or approval of the manuscript.

Additional Contributions: Susan Quatrano, Philip Markovich, Kathryn Armstrong, Sarah Nicholls, Matthew Freiburger, and Matthew Hirschtritt assisted with the research participants, and Cheryl Lacadie, Karen Martin, Terry Hickey, and Hedy Sarofin provided technical expertise. We thank the research participants for taking part in the study.

This article was corrected for errors on December 6, 2011.

References
1.
US Department of Health and Human Services, Administration for Children and Families, Children's Bureau.  Child maltreatment annual reports: reports from the states to the National Child Abuse and Neglect data systems: national statistics on child abuse and neglect. 2010. http://www.acf.hhs.gov/programs/cb/pubs/cm09/index.htm. Accessed August 26, 2009
2.
Kaffman A, Meaney MJ. Neurodevelopmental sequelae of postnatal maternal care in rodents: clinical and research implications of molecular insights.  J Child Psychol Psychiatry. 2007;48(3-4):224-24417355397PubMedGoogle ScholarCrossref
3.
Monroy E, Hernández-Torres E, Flores G. Maternal separation disrupts dendritic morphology of neurons in prefrontal cortex, hippocampus, and nucleus accumbens in male rat offspring.  J Chem Neuroanat. 2010;40(2):93-10120553852PubMedGoogle ScholarCrossref
4.
Bremner JD, Vermetten E. Stress and development: behavioral and biological consequences.  Dev Psychopathol. 2001;13(3):473-48911523844PubMedGoogle ScholarCrossref
5.
Bremner JD, Vythilingam M, Vermetten E,  et al.  MRI and PET study of deficits in hippocampal structure and function in women with childhood sexual abuse and posttraumatic stress disorder.  Am J Psychiatry. 2003;160(5):924-93212727697PubMedGoogle ScholarCrossref
6.
Carrion VG, Weems CF, Watson C, Eliez S, Menon V, Reiss AL. Converging evidence for abnormalities of the prefrontal cortex and evaluation of midsagittal structures in pediatric posttraumatic stress disorder: an MRI study.  Psychiatry Res. 2009;172(3):226-23419349151PubMedGoogle ScholarCrossref
7.
De Bellis MD, Hall J, Boring AM, Frustaci K, Moritz G. A pilot longitudinal study of hippocampal volumes in pediatric maltreatment-related posttraumatic stress disorder.  Biol Psychiatry. 2001;50(4):305-30911522266PubMedGoogle ScholarCrossref
8.
Driessen M, Herrmann J, Stahl K,  et al.  Magnetic resonance imaging volumes of the hippocampus and the amygdala in women with borderline personality disorder and early traumatization.  Arch Gen Psychiatry. 2000;57(12):1115-112211115325PubMedGoogle ScholarCrossref
9.
Frodl T, Reinhold E, Koutsouleris N, Reiser M, Meisenzahl EM. Interaction of childhood stress with hippocampus and prefrontal cortex volume reduction in major depression.  J Psychiatr Res. 2010;44(13):799-80720122698PubMedGoogle ScholarCrossref
10.
Schmahl CG, Vermetten E, Elzinga BM, Douglas Bremner J. Magnetic resonance imaging of hippocampal and amygdala volume in women with childhood abuse and borderline personality disorder.  Psychiatry Res. 2003;122(3):193-19812694893PubMedGoogle ScholarCrossref
11.
Soloff P, Nutche J, Goradia D, Diwadkar V. Structural brain abnormalities in borderline personality disorder: a voxel-based morphometry study.  Psychiatry Res. 2008;164(3):223-23619019636PubMedGoogle ScholarCrossref
12.
Tomoda A, Suzuki H, Rabi K, Sheu YS, Polcari A, Teicher MH. Reduced prefrontal cortical gray matter volume in young adults exposed to harsh corporal punishment.  Neuroimage. 2009;47:(suppl 2)  T66-T7119285558PubMedGoogle ScholarCrossref
13.
Vythilingam M, Heim C, Newport J,  et al.  Childhood trauma associated with smaller hippocampal volume in women with major depression.  Am J Psychiatry. 2002;159(12):2072-208012450959PubMedGoogle ScholarCrossref
14.
Woon FL, Hedges DW. Hippocampal and amygdala volumes in children and adults with childhood maltreatment-related posttraumatic stress disorder: a meta-analysis.  Hippocampus. 2008;18(8):729-73618446827PubMedGoogle ScholarCrossref
15.
Bremner JD, Randall P, Vermetten E,  et al.  Magnetic resonance imaging-based measurement of hippocampal volume in posttraumatic stress disorder related to childhood physical and sexual abuse—a preliminary report.  Biol Psychiatry. 1997;41(1):23-328988792PubMedGoogle ScholarCrossref
16.
Cohen RA, Grieve S, Hoth KF,  et al.  Early life stress and morphometry of the adult anterior cingulate cortex and caudate nuclei [published correction appears in Biol Psychiatry. 2006;60(9):1023].  Biol Psychiatry. 2006;59(10):975-98216616722PubMedGoogle ScholarCrossref
17.
Strathearn L, Mayes LC. Cocaine addiction in mothers: potential effects on maternal care and infant development.  Ann N Y Acad Sci. 2010;1187:172-18320201853PubMedGoogle ScholarCrossref
18.
De Bellis MD, Keshavan MS, Shifflett H,  et al.  Brain structures in pediatric maltreatment-related posttraumatic stress disorder: a sociodemographically matched study.  Biol Psychiatry. 2002;52(11):1066-107812460690PubMedGoogle ScholarCrossref
19.
De Bellis MD, Hooper SR, Woolley DP, Shenk CE. Demographic, maltreatment, and neurobiological correlates of PTSD symptoms in children and adolescents.  J Pediatr Psychol. 2010;35(5):570-57720008084PubMedGoogle ScholarCrossref
20.
Rao U, Chen LA, Bidesi AS, Shad MU, Thomas MA, Hammen CL. Hippocampal changes associated with early-life adversity and vulnerability to depression.  Biol Psychiatry. 2010;67(4):357-36420015483PubMedGoogle ScholarCrossref
21.
Manly JT, Kim JE, Rogosch FA, Cicchetti D. Dimensions of child maltreatment and children's adjustment: contributions of developmental timing and subtype.  Dev Psychopathol. 2001;13(4):759-78211771907PubMedGoogle Scholar
22.
Weiss EL, Longhurst JG, Mazure CM. Childhood sexual abuse as a risk factor for depression in women: psychosocial and neurobiological correlates.  Am J Psychiatry. 1999;156(6):816-82810360118PubMedGoogle Scholar
23.
Wexler BE, Lyons L, Lyons H, Mazure CM. Physical and sexual abuse during childhood and development of psychiatric illnesses during adulthood.  J Nerv Ment Dis. 1997;185(8):522-5249284868PubMedGoogle ScholarCrossref
24.
Edwards VJ, Holden GW, Felitti VJ, Anda RF. Relationship between multiple forms of childhood maltreatment and adult mental health in community respondents: results from the adverse childhood experiences study.  Am J Psychiatry. 2003;160(8):1453-146012900308PubMedGoogle ScholarCrossref
25.
Spinhoven P, Elzinga BM, Hovens JG,  et al.  The specificity of childhood adversities and negative life events across the life span to anxiety and depressive disorders.  J Affect Disord. 2010;126(1-2):103-11220304501PubMedGoogle ScholarCrossref
26.
Teicher MH, Samson JA, Polcari A, McGreenery CE. Sticks, stones, and hurtful words: relative effects of various forms of childhood maltreatment.  Am J Psychiatry. 2006;163(6):993-100016741199PubMedGoogle ScholarCrossref
27.
van Harmelen AL, de Jong PJ, Glashouwer KA, Spinhoven P, Penninx BW, Elzinga BM. Child abuse and negative explicit and automatic self-associations: the cognitive scars of emotional maltreatment.  Behav Res Ther. 2010;48(6):486-49420303472PubMedGoogle ScholarCrossref
28.
Maciejewski PK, Mazure CM. Fear of criticism and rejection mediates an association between childhood emotional abuse and adult onset of major depression.  Cognit Ther Res. 2006;30:105-122Google ScholarCrossref
29.
Pruessner JC, Champagne F, Meaney MJ, Dagher A. Dopamine release in response to a psychological stress in humans and its relationship to early life maternal care: a positron emission tomography study using [11C]raclopride.  J Neurosci. 2004;24(11):2825-283115028776PubMedGoogle ScholarCrossref
30.
Giedd JN, Castellanos FX, Rajapakse JC, Vaituzis AC, Rapoport JL. Sexual dimorphism of the developing human brain.  Prog Neuropsychopharmacol Biol Psychiatry. 1997;21(8):1185-12019460086PubMedGoogle ScholarCrossref
31.
Lenroot RK, Gogtay N, Greenstein DK,  et al.  Sexual dimorphism of brain developmental trajectories during childhood and adolescence.  Neuroimage. 2007;36(4):1065-107317513132PubMedGoogle ScholarCrossref
32.
McEwen BS. Permanence of brain sex differences and structural plasticity of the adult brain.  Proc Natl Acad Sci U S A. 1999;96(13):7128-713010377379PubMedGoogle ScholarCrossref
33.
Neufang S, Specht K, Hausmann M,  et al.  Sex differences and the impact of steroid hormones on the developing human brain.  Cereb Cortex. 2009;19(2):464-47318550597PubMedGoogle ScholarCrossref
34.
Kessler RC, McGonagle KA, Swartz M, Blazer DG, Nelson CB. Sex and depression in the National Comorbidity Survey. I: lifetime prevalence, chronicity and recurrence.  J Affect Disord. 1993;29(2-3):85-968300981PubMedGoogle ScholarCrossref
35.
Nolen-Hoeksema S, Girgus JS. The emergence of gender differences in depression during adolescence.  Psychol Bull. 1994;115(3):424-4438016286PubMedGoogle ScholarCrossref
36.
Angold A, Costello EJ, Erkanli A, Worthman CM. Pubertal changes in hormone levels and depression in girls.  Psychol Med. 1999;29(5):1043-105310576297PubMedGoogle ScholarCrossref
37.
Nagoshi CT, Wilson JR, Rodriguez LA. Impulsivity, sensation seeking, and behavioral and emotional responses to alcohol.  Alcohol Clin Exp Res. 1991;15(4):661-6671928641PubMedGoogle ScholarCrossref
38.
Nolen-Hoeksema S, Hilt L. Possible contributors to the gender differences in alcohol use and problems.  J Gen Psychol. 2006;133(4):357-37417128956PubMedGoogle ScholarCrossref
39.
Chaplin TM, Hong K, Bergquist K, Sinha R. Gender differences in response to emotional stress: an assessment across subjective, behavioral, and physiological domains and relations to alcohol craving.  Alcohol Clin Exp Res. 2008;32(7):1242-125018482163PubMedGoogle ScholarCrossref
40.
Kaufman J, Birmaher B, Brent D,  et al.  Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): initial reliability and validity data.  J Am Acad Child Adolesc Psychiatry. 1997;36(7):980-9889204677PubMedGoogle ScholarCrossref
41.
Bernstein DP, Stein JA, Newcomb MD,  et al.  Development and validation of a brief screening version of the Childhood Trauma Questionnaire.  Child Abuse Negl. 2003;27(2):169-19012615092PubMedGoogle ScholarCrossref
42.
Scher CD, Stein MB, Asmundson GJ, McCreary DR, Forde DR. The childhood trauma questionnaire in a community sample: psychometric properties and normative data.  J Trauma Stress. 2001;14(4):843-85711776429PubMedGoogle ScholarCrossref
43.
SPSS Inc.  Statistical Package for the Social Sciences for Windows. Version 11.1. Chicago, IL: SPSS Inc; 2001
44.
Kalmar JH, Wang F, Chepenik LG,  et al.  Relation between amygdala structure and function in adolescents with bipolar disorder.  J Am Acad Child Adolesc Psychiatry. 2009;48(6):636-64219454919PubMedGoogle ScholarCrossref
45.
Hains AB, Arnsten AF. Molecular mechanisms of stress-induced prefrontal cortical impairment: implications for mental illness.  Learn Mem. 2008;15(8):551-56418685145PubMedGoogle ScholarCrossref
46.
Kikusui T, Ichikawa S, Mori Y. Maternal deprivation by early weaning increases corticosterone and decreases hippocampal BDNF and neurogenesis in mice.  Psychoneuroendocrinology. 2009;34(5):762-77219167168PubMedGoogle ScholarCrossref
47.
Lippmann M, Bress A, Nemeroff CB, Plotsky PM, Monteggia LM. Long-term behavioural and molecular alterations associated with maternal separation in rats.  Eur J Neurosci. 2007;25(10):3091-309817561822PubMedGoogle ScholarCrossref
48.
Radley JJ, Rocher AB, Miller M,  et al.  Repeated stress induces dendritic spine loss in the rat medial prefrontal cortex.  Cereb Cortex. 2006;16(3):313-32015901656PubMedGoogle ScholarCrossref
49.
Sciolino NR, Bortolato M, Eisenstein SA,  et al.  Social isolation and chronic handling alter endocannabinoid signaling and behavioral reactivity to context in adult rats.  Neuroscience. 2010;168(2):371-38620394803PubMedGoogle ScholarCrossref
50.
Arnsten AF. Stress signalling pathways that impair prefrontal cortex structure and function.  Nat Rev Neurosci. 2009;10(6):410-42219455173PubMedGoogle ScholarCrossref
51.
Plotsky PM, Thrivikraman KV, Nemeroff CB, Caldji C, Sharma S, Meaney MJ. Long-term consequences of neonatal rearing on central corticotropin-releasing factor systems in adult male rat offspring.  Neuropsychopharmacology. 2005;30(12):2192-220415920504PubMedGoogle ScholarCrossref
52.
Liu D, Diorio J, Day JC, Francis DD, Meaney MJ. Maternal care, hippocampal synaptogenesis and cognitive development in rats.  Nat Neurosci. 2000;3(8):799-80610903573PubMedGoogle ScholarCrossref
53.
Gould E, McEwen BS, Tanapat P, Galea LA, Fuchs E. Neurogenesis in the dentate gyrus of the adult tree shrew is regulated by psychosocial stress and NMDA receptor activation.  J Neurosci. 1997;17(7):2492-24989065509PubMedGoogle Scholar
54.
Gould E, Tanapat P, McEwen BS, Flügge G, Fuchs E. Proliferation of granule cell precursors in the dentate gyrus of adult monkeys is diminished by stress.  Proc Natl Acad Sci U S A. 1998;95(6):3168-31719501234PubMedGoogle ScholarCrossref
55.
Schwandt ML, Lindell SG, Sjöberg RL,  et al.  Gene-environment interactions and response to social intrusion in male and female rhesus macaques.  Biol Psychiatry. 2010;67(4):323-33020015482PubMedGoogle ScholarCrossref
56.
Rosenblum LA, Forger C, Noland S, Trost RC, Coplan JD. Response of adolescent bonnet macaques to an acute fear stimulus as a function of early rearing conditions.  Dev Psychobiol. 2001;39(1):40-4511507708PubMedGoogle ScholarCrossref
57.
Kikusui T, Mori Y. Behavioural and neurochemical consequences of early weaning in rodents.  J Neuroendocrinol. 2009;21(4):427-43119207810PubMedGoogle ScholarCrossref
58.
Arnsten AF, Shansky RM. Adolescence: vulnerable period for stress-induced prefrontal cortical function? introduction to part IV.  Ann N Y Acad Sci. 2004;1021:143-14715251883PubMedGoogle ScholarCrossref
59.
Pascual R, Zamora-León SP. Effects of neonatal maternal deprivation and postweaning environmental complexity on dendritic morphology of prefrontal pyramidal neurons in the rat.  Acta Neurobiol Exp (Wars). 2007;67(4):471-47918320724PubMedGoogle Scholar
60.
Christoff K, Prabhakaran V, Dorfman J,  et al.  Rostrolateral prefrontal cortex involvement in relational integration during reasoning.  Neuroimage. 2001;14(5):1136-114911697945PubMedGoogle ScholarCrossref
61.
Burgess PW, Gilbert SJ, Dumontheil I. Function and localization within rostral prefrontal cortex (area 10).  Philos Trans R Soc Lond B Biol Sci. 2007;362(1481):887-89917403644PubMedGoogle ScholarCrossref
62.
Miller EK, Cohen JD. An integrative theory of prefrontal cortex function.  Annu Rev Neurosci. 2001;24:167-20211283309PubMedGoogle ScholarCrossref
63.
Wager TD, Davidson ML, Hughes BL, Lindquist MA, Ochsner KN. Prefrontal-subcortical pathways mediating successful emotion regulation.  Neuron. 2008;59(6):1037-105018817740PubMedGoogle ScholarCrossref
64.
Levy R, Goldman-Rakic PS. Segregation of working memory functions within the dorsolateral prefrontal cortex.  Exp Brain Res. 2000;133(1):23-3210933207PubMedGoogle ScholarCrossref
65.
Goldin PR, McRae K, Ramel W, Gross JJ. The neural bases of emotion regulation: reappraisal and suppression of negative emotion.  Biol Psychiatry. 2008;63(6):577-58617888411PubMedGoogle ScholarCrossref
66.
Koechlin E, Corrado G, Pietrini P, Grafman J. Dissociating the role of the medial and lateral anterior prefrontal cortex in human planning.  Proc Natl Acad Sci U S A. 2000;97(13):7651-765610852964PubMedGoogle ScholarCrossref
67.
Mansouri FA, Tanaka K, Buckley MJ. Conflict-induced behavioural adjustment: a clue to the executive functions of the prefrontal cortex.  Nat Rev Neurosci. 2009;10(2):141-15219153577PubMedGoogle ScholarCrossref
68.
Ochsner KN, Bunge SA, Gross JJ, Gabrieli JD. Rethinking feelings: an FMRI study of the cognitive regulation of emotion.  J Cogn Neurosci. 2002;14(8):1215-122912495527PubMedGoogle ScholarCrossref
69.
Ferry AT, Ongür D, An X, Price JL. Prefrontal cortical projections to the striatum in macaque monkeys: evidence for an organization related to prefrontal networks.  J Comp Neurol. 2000;425(3):447-47010972944PubMedGoogle ScholarCrossref
70.
Sinha R. Chronic stress, drug use, and vulnerability to addiction.  Ann N Y Acad Sci. 2008;1141:105-13018991954PubMedGoogle ScholarCrossref
71.
Craig AD. How do you feel? interoception: the sense of the physiological condition of the body.  Nat Rev Neurosci. 2002;3(8):655-66612154366PubMedGoogle Scholar
72.
Farrer C, Frith CD. Experiencing oneself vs another person as being the cause of an action: the neural correlates of the experience of agency.  Neuroimage. 2002;15(3):596-60311848702PubMedGoogle ScholarCrossref
73.
Carr L, Iacoboni M, Dubeau MC, Mazziotta JC, Lenzi GL. Neural mechanisms of empathy in humans: a relay from neural systems for imitation to limbic areas.  Proc Natl Acad Sci U S A. 2003;100(9):5497-550212682281PubMedGoogle ScholarCrossref
74.
Singer T, Seymour B, O’Doherty J, Kaube H, Dolan RJ, Frith CD. Empathy for pain involves the affective but not sensory components of pain.  Science. 2004;303(5661):1157-116214976305PubMedGoogle ScholarCrossref
75.
Corradi-Dell’acqua C, Ueno K, Ogawa A, Cheng K, Rumiati RI, Iriki A. Effects of shifting perspective of the self: an fMRI study.  Neuroimage. 2008;40(4):1902-191118325789PubMedGoogle ScholarCrossref
76.
Briere J, Rickards S. Self-awareness, affect regulation, and relatedness: differential sequels of childhood versus adult victimization experiences.  J Nerv Ment Dis. 2007;195(6):497-50317568298PubMedGoogle ScholarCrossref
77.
van der Kolk BA, Roth S, Pelcovitz D, Sunday S, Spinazzola J. Disorders of extreme stress: the empirical foundation of a complex adaptation to trauma.  J Trauma Stress. 2005;18(5):389-39916281237PubMedGoogle ScholarCrossref
78.
Toth SL, Cicchetti D, Macfie J, Emde RN. Representations of self and other in the narratives of neglected, physically abused, and sexually abused preschoolers.  Dev Psychopathol. 1997;9(4):781-7969449005PubMedGoogle ScholarCrossref
79.
Gibb BE, Schofield CA, Coles ME. Reported history of childhood abuse and young adults' information-processing biases for facial displays of emotion.  Child Maltreat. 2009;14(2):148-15618988860PubMedGoogle ScholarCrossref
80.
Leist T, Dadds MR. Adolescents' ability to read different emotional faces relates to their history of maltreatment and type of psychopathology.  Clin Child Psychol Psychiatry. 2009;14(2):237-25019293321PubMedGoogle ScholarCrossref
81.
Masten CL, Guyer AE, Hodgdon HB,  et al.  Recognition of facial emotions among maltreated children with high rates of post-traumatic stress disorder.  Child Abuse Negl. 2008;32(1):139-15318155144PubMedGoogle ScholarCrossref
82.
Pollak SD, Cicchetti D, Hornung K, Reed A. Recognizing emotion in faces: developmental effects of child abuse and neglect.  Dev Psychol. 2000;36(5):679-68810976606PubMedGoogle ScholarCrossref
83.
Kanwisher N, McDermott J, Chun MM. The fusiform face area: a module in human extrastriate cortex specialized for face perception.  J Neurosci. 1997;17(11):4302-43119151747PubMedGoogle Scholar
84.
Pine DS, Mogg K, Bradley BP,  et al.  Attention bias to threat in maltreated children: implications for vulnerability to stress-related psychopathology.  Am J Psychiatry. 2005;162(2):291-29615677593PubMedGoogle ScholarCrossref
85.
Fani N, Bradley-Davino B, Ressler KJ, McClure-Tone EB. Attention bias in adult survivors of childhood maltreatment with and without posttraumatic stress disorder.  Cognit Ther ResIn pressGoogle Scholar
86.
Irle E, Lange C, Sachsse U. Reduced size and abnormal asymmetry of parietal cortex in women with borderline personality disorder.  Biol Psychiatry. 2005;57(2):173-18215652877PubMedGoogle ScholarCrossref
87.
Bremner JD, Vermetten E, Vythilingam M,  et al.  Neural correlates of the classic color and emotional stroop in women with abuse-related posttraumatic stress disorder.  Biol Psychiatry. 2004;55(6):612-62015013830PubMedGoogle ScholarCrossref
88.
Krienen FM, Buckner RL. Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity.  Cereb Cortex. 2009;19(10):2485-249719592571PubMedGoogle ScholarCrossref
89.
Snider RS, Maiti A. Cerebellar contributions to the Papez circuit.  J Neurosci Res. 1976;2(2):133-146950678PubMedGoogle ScholarCrossref
90.
Lawson A, Ahima RS, Krozowski Z, Harlan RE. Postnatal development of corticosteroid receptor immunoreactivity in the rat cerebellum and brain stem.  Neuroendocrinology. 1992;55(6):695-7071630585PubMedGoogle ScholarCrossref
91.
Wilber AA, Wellman CL. Neonatal maternal separation alters the development of glucocorticoid receptor expression in the interpositus nucleus of the cerebellum.  Int J Dev Neurosci. 2009;27(7):649-65419665541PubMedGoogle ScholarCrossref
92.
Bauer PM, Hanson JL, Pierson RK, Davidson RJ, Pollak SD. Cerebellar volume and cognitive functioning in children who experienced early deprivation.  Biol Psychiatry. 2009;66(12):1100-110619660739PubMedGoogle ScholarCrossref
93.
De Bellis MD, Kuchibhatla M. Cerebellar volumes in pediatric maltreatment-related posttraumatic stress disorder.  Biol Psychiatry. 2006;60(7):697-70316934769PubMedGoogle ScholarCrossref
94.
Yang P, Wu MT, Hsu CC, Ker JH. Evidence of early neurobiological alternations in adolescents with posttraumatic stress disorder: a functional MRI study.  Neurosci Lett. 2004;370(1):13-1815489009PubMedGoogle ScholarCrossref
95.
Sacchetti B, Scelfo B, Strata P. Cerebellum and emotional behavior.  Neuroscience. 2009;162(3):756-76219409218PubMedGoogle ScholarCrossref
96.
LeDoux JE. Brain mechanisms of emotion and emotional learning.  Curr Opin Neurobiol. 1992;2(2):191-1971638153PubMedGoogle ScholarCrossref
97.
Sinha R, Lacadie C, Skudlarski P, Wexler BE. Neural circuits underlying emotional distress in humans.  Ann N Y Acad Sci. 2004;1032:254-25715677422PubMedGoogle ScholarCrossref
98.
Blumberg HP, Charney DS, Krystal JH. Frontotemporal neural systems in bipolar disorder.  Semin Clin Neuropsychiatry. 2002;7(4):243-25412382207PubMedGoogle ScholarCrossref
99.
Price JL, Drevets WC. Neurocircuitry of mood disorders.  Neuropsychopharmacology. 2010;35(1):192-21619693001PubMedGoogle ScholarCrossref
100.
Seminowicz DA, Mayberg HS, McIntosh AR,  et al.  Limbic-frontal circuitry in major depression: a path modeling metanalysis.  Neuroimage. 2004;22(1):409-41815110034PubMedGoogle ScholarCrossref
101.
Macrì S, Laviola G, Leussis MP, Andersen SL. Abnormal behavioral and neurotrophic development in the younger sibling receiving less maternal care in a communal nursing paradigm in rats.  Psychoneuroendocrinology. 2010;35(3):392-40219762157PubMedGoogle ScholarCrossref
102.
McCormick CM, Mathews IZ. HPA function in adolescence: role of sex hormones in its regulation and the enduring consequences of exposure to stressors.  Pharmacol Biochem Behav. 2007;86(2):220-23316901532PubMedGoogle ScholarCrossref
103.
Shansky RM, Glavis-Bloom C, Lerman D,  et al.  Estrogen mediates sex differences in stress-induced prefrontal cortex dysfunction.  Mol Psychiatry. 2004;9(5):531-53814569273PubMedGoogle ScholarCrossref
104.
Dalla C, Whetstone AS, Hodes GE, Shors TJ. Stressful experience has opposite effects on dendritic spines in the hippocampus of cycling versus masculinized females.  Neurosci Lett. 2009;449(1):52-5618952150PubMedGoogle ScholarCrossref
105.
Filipek PA, Richelme C, Kennedy DN, Caviness VS Jr. The young adult human brain: an MRI-based morphometric analysis.  Cereb Cortex. 1994;4(4):344-3607950308PubMedGoogle ScholarCrossref
106.
Dluzen DE. Neuroprotective effects of estrogen upon the nigrostriatal dopaminergic system.  J Neurocytol. 2000;29(5-6):387-39911424955PubMedGoogle ScholarCrossref
107.
Batten SV, Aslan M, Maciejewski PK, Mazure CM. Childhood maltreatment as a risk factor for adult cardiovascular disease and depression.  J Clin Psychiatry. 2004;65(2):249-25415003081PubMedGoogle ScholarCrossref
108.
Mazure CM, Maciejewski PK. The interplay of stress, gender and cognitive style in depressive onset.  Arch Womens Ment Health. 2003;6(1):5-812715259PubMedGoogle ScholarCrossref
109.
Buss C, Lord C, Wadiwalla M,  et al.  Maternal care modulates the relationship between prenatal risk and hippocampal volume in women but not in men.  J Neurosci. 2007;27(10):2592-259517344396PubMedGoogle ScholarCrossref
110.
Tottenham N, Sheridan MA. A review of adversity, the amygdala and the hippocampus: a consideration of developmental timing.  Front Hum Neurosci. 2009;3:68http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2813726/?tool=pubmed. Accessed August 30, 201120161700PubMedGoogle Scholar
111.
Fergusson DM, Lynskey MT. Physical punishment/maltreatment during childhood and adjustment in young adulthood.  Child Abuse Negl. 1997;21(7):617-6309238545PubMedGoogle ScholarCrossref
112.
DE Bellis MD, Hooper SR, Spratt EG, Woolley DP. Neuropsychological findings in childhood neglect and their relationships to pediatric PTSD.  J Int Neuropsychol Soc. 2009;15(6):868-87819703321PubMedGoogle ScholarCrossref
113.
Nelson CA III, Zeanah CH, Fox NA, Marshall PJ, Smyke AT, Guthrie D. Cognitive recovery in socially deprived young children: the Bucharest Early Intervention Project.  Science. 2007;318(5858):1937-194018096809PubMedGoogle ScholarCrossref
114.
Fink LA, Bernstein D, Handelsman L, Foote J, Lovejoy M. Initial reliability and validity of the childhood trauma interview: a new multidimensional measure of childhood interpersonal trauma.  Am J Psychiatry. 1995;152(9):1329-13357653689PubMedGoogle Scholar
115.
Bernstein DP, Fink L, Handelsman L,  et al.  Initial reliability and validity of a new retrospective measure of child abuse and neglect.  Am J Psychiatry. 1994;151(8):1132-11368037246PubMedGoogle Scholar
116.
Browne C, Winkelman C. The effect of childhood trauma on later psychological adjustment.  J Interpers Violence. 2007;22(6):684-69717515430PubMedGoogle ScholarCrossref
117.
Parker G, Hadzi-Pavlovic D, Greenwald S, Weissman M. Low parental care as a risk factor to lifetime depression in a community sample.  J Affect Disord. 1995;33(3):173-1807790669PubMedGoogle ScholarCrossref
118.
Galler JR, Bryce CP, Waber D,  et al.  Early childhood malnutrition predicts depressive symptoms at ages 11-17.  J Child Psychol Psychiatry. 2010;51(7):789-79820331492PubMedGoogle ScholarCrossref
119.
Colvert E, Rutter M, Beckett C,  et al.  Emotional difficulties in early adolescence following severe early deprivation: findings from the English and Romanian adoptees study.  Dev Psychopathol. 2008;20(2):547-56718423094PubMedGoogle ScholarCrossref
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