Childhood maltreatment, altered limbic neurobiology, and substance use relapse severity via trauma-specific reductions in limbic gray matter volume.

IMPORTANCE Substance use disorders (SUDs) are among the most common sequelae of childhood maltreatment, yet the independent contributions of SUDs and childhood maltreatment to neurobiological changes and the effect of the latter on relapse risk (a critical variable in addiction treatment) are relatively unknown. OBJECTIVES To identify structural neural characteristics independently associated with childhood maltreatment (CM; a common type of childhood adversity), comparing a sample with SUD with a demographically comparable control sample, and to examine the relationship between CM-related structural brain changes and subsequent relapse. DESIGN, SETTING, AND PARTICIPANTS Structural magnetic resonance imaging study comparing 79 treatment-engaged participants with SUD in acute remission in inpatient treatment at a community mental health center vs 98 healthy control participants at an outpatient research center at an academic medical center. Both groups included individuals with a range of CM experiences. Participants with SUD were followed up prospectively for 90 days to assess relapse and relapse severity. INTERVENTION Standard 12-step, recovery-based, inpatient addiction treatment for all participants with SUD. MAIN OUTCOMES AND MEASURES Gray matter volume (GMV), subsequent substance use relapse, days to relapse, and severity of relapse. RESULTS Controlling for SUD and psychiatric comorbidity, CM (dichotomously classified) was uniquely associated with lower GMV across all participants in the left hippocampus (cornu ammonis 1-3, dentate gyrus), parahippocampus (presubiculum, parasubiculum, prosubiculum, subiculum, and entorhinal cortex), and anterior fusiform gyrus (corrected P < .05; uncorrected P = .001). Among the sample with SUD, CM prospectively predicted a shorter relapse to use of any drug (P = .048), while CM-related GMV reductions predicted severity of substance use relapse (P = .04). CONCLUSIONS AND RELEVANCE Findings indicate that CM was related to decreased GMV in limbic regions, which in turn predicted increased risk of relapse in SUD. These results suggest that CM may significantly affect the course of SUD treatment outcomes and that SUD treatment planning may benefit from identifying and addressing CM.

[1]  R. Constable,et al.  Disrupted ventromedial prefrontal function, alcohol craving, and subsequent relapse risk. , 2013, JAMA psychiatry.

[2]  John J. Foxe,et al.  Dissociated Grey Matter Changes with Prolonged Addiction and Extended Abstinence in Cocaine Users , 2013, PloS one.

[3]  R. Sinha,et al.  Sex differences in decreased limbic and cortical grey matter volume in cocaine dependence: a voxel‐based morphometric study , 2013, Addiction biology.

[4]  Rajita Sinha,et al.  Cumulative Adversity and Smaller Gray Matter Volume in Medial Prefrontal, Anterior Cingulate, and Insula Regions , 2012, Biological Psychiatry.

[5]  Walter Heindel,et al.  Limbic Scars: Long-Term Consequences of Childhood Maltreatment Revealed by Functional and Structural Magnetic Resonance Imaging , 2012, Biological Psychiatry.

[6]  Martin H. Teicher,et al.  Childhood maltreatment is associated with reduced volume in the hippocampal subfields CA3, dentate gyrus, and subiculum , 2012, Proceedings of the National Academy of Sciences.

[7]  S. Martins,et al.  Conditional substance abuse and dependence by diagnosis of mood or anxiety disorder or schizophrenia in the U.S. population. , 2011, Drug and alcohol dependence.

[8]  N. Volkow,et al.  Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications , 2011, Nature Reviews Neuroscience.

[9]  M. Enoch The role of early life stress as a predictor for alcohol and drug dependence , 2011, Psychopharmacology.

[10]  Rajita Sinha,et al.  Association of frontal and posterior cortical gray matter volume with time to alcohol relapse: a prospective study. , 2011, The American journal of psychiatry.

[11]  Sébastien Ourselin,et al.  Head size, age and gender adjustment in MRI studies: a necessary nuisance? , 2010, NeuroImage.

[12]  David R. Williams,et al.  Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys , 2010, British Journal of Psychiatry.

[13]  B. McEwen,et al.  Stress, sex, and neural adaptation to a changing environment: mechanisms of neuronal remodeling , 2010, Annals of the New York Academy of Sciences.

[14]  Richard J. Davidson,et al.  Amygdalar and hippocampal substrates of anxious temperament differ in their heritability , 2010, Nature.

[15]  Wiro J. Niessen,et al.  Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods , 2010, NeuroImage.

[16]  J. Gee,et al.  Early Stress Is Associated with Alterations in the Orbitofrontal Cortex: A Tensor-Based Morphometry Investigation of Brain Structure and Behavioral Risk , 2010, The Journal of Neuroscience.

[17]  Shelley E. Taylor,et al.  Mechanisms linking early life stress to adult health outcomes , 2010, Proceedings of the National Academy of Sciences.

[18]  R. Kessler,et al.  Childhood adversities and adult psychiatric disorders in the national comorbidity survey replication I: associations with first onset of DSM-IV disorders. , 2010, Archives of general psychiatry.

[19]  A. Cerasa,et al.  Cerebellar Atrophy in Essential Tremor Using an Automated Segmentation Method , 2009, American Journal of Neuroradiology.

[20]  B. McEwen,et al.  Effects of stress throughout the lifespan on the brain, behaviour and cognition , 2009, Nature Reviews Neuroscience.

[21]  Guy B. Williams,et al.  Development of an MRI rating scale for multiple brain regions: comparison with volumetrics and with voxel-based morphometry , 2009, Neuroradiology.

[22]  Karl J. Friston,et al.  False discovery rate revisited: FDR and topological inference using Gaussian random fields , 2009, NeuroImage.

[23]  T. Robbins,et al.  Drug Addiction and the Memory Systems of the Brain , 2008, Annals of the New York Academy of Sciences.

[24]  John Ashburner,et al.  A fast diffeomorphic image registration algorithm , 2007, NeuroImage.

[25]  Martha Elizabeth Shenton,et al.  On evaluating brain tissue classifiers without a ground truth , 2007, NeuroImage.

[26]  Simon B. Eickhoff,et al.  Assignment of functional activations to probabilistic cytoarchitectonic areas revisited , 2007, NeuroImage.

[27]  Erika B. Litvin,et al.  Relapse and relapse prevention. , 2007, Annual review of clinical psychology.

[28]  Julie A. Schumacher,et al.  Symptom severity, alcohol craving, and age of trauma onset in childhood and adolescent trauma survivors with comorbid alcohol dependence and posttraumatic stress disorder. , 2006, The American journal on addictions.

[29]  R. Reading,et al.  The enduring effects of abuse and related adverse experiences in childhood. A convergence of evidence from neurobiology and epidemiology , 2006 .

[30]  K. Amunts,et al.  Cytoarchitectonic mapping of the human amygdala, hippocampal region and entorhinal cortex: intersubject variability and probability maps , 2005, Anatomy and Embryology.

[31]  Shane O'Mara,et al.  The subiculum: what it does, what it might do, and what neuroanatomy has yet to tell us , 2005, Journal of anatomy.

[32]  J. Lisman,et al.  The Hippocampal-VTA Loop: Controlling the Entry of Information into Long-Term Memory , 2005, Neuron.

[33]  Simon B. Eickhoff,et al.  A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data , 2005, NeuroImage.

[34]  V. Strand,et al.  Assessment and Screening Tools for Trauma in Children and Adolescents , 2005, Trauma, violence & abuse.

[35]  A. Toga,et al.  Mapping Changes in the Human Cortex throughout the Span of Life , 2004, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[36]  E. Phelps Human emotion and memory: interactions of the amygdala and hippocampal complex , 2004, Current Opinion in Neurobiology.

[37]  Jochen Hardt,et al.  Validity of adult retrospective reports of adverse childhood experiences: review of the evidence. , 2004, Journal of child psychology and psychiatry, and allied disciplines.

[38]  D. Chapman,et al.  Childhood abuse, neglect, and household dysfunction and the risk of illicit drug use: the adverse childhood experiences study. , 2003, Pediatrics.

[39]  N. Tzourio-Mazoyer,et al.  Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.

[40]  S. Hyman,et al.  Addiction and the brain: The neurobiology of compulsion and its persistence , 2001, Nature Reviews Neuroscience.

[41]  J. Westermeyer,et al.  Effects of childhood physical abuse on course and severity of substance abuse. , 2001, The American journal on addictions.

[42]  W. Drevets Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders , 2001, Current Opinion in Neurobiology.

[43]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[44]  D. Williamson,et al.  Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults. The Adverse Childhood Experiences (ACE) Study. , 1998, American journal of preventive medicine.

[45]  D. Bernstein,et al.  Validity of the Childhood Trauma Questionnaire in an adolescent psychiatric population. , 1997, Journal of the American Academy of Child and Adolescent Psychiatry.

[46]  A. Bifulco,et al.  Memories of childhood neglect and abuse: corroboration in a series of sisters. , 1997, Journal of child psychology and psychiatry, and allied disciplines.

[47]  James L. McClelland,et al.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.

[48]  F. D. Del Boca,et al.  Measurement of drinking behavior using the Form 90 family of instruments. , 1994, Journal of studies on alcohol. Supplement.

[49]  S. Eisen,et al.  The reliability of abuse history reports: a comparison of two inquiry formats. , 1991, Comprehensive psychiatry.

[50]  M. Pike,et al.  Design and analysis of randomized clinical trials requiring prolonged observation of each patient. II. analysis and examples. , 1977, British Journal of Cancer.

[51]  E. Kaplan,et al.  Nonparametric Estimation from Incomplete Observations , 1958 .

[52]  R. Frances,et al.  Abnormal Brain Structure Implicated in Stimulant Drug Addiction , 2013 .

[53]  James F. Jones,et al.  Childhood trauma and risk for chronic fatigue syndrome: association with neuroendocrine dysfunction. , 2009, Archives of general psychiatry.

[54]  R. Hen,et al.  Anxiety as a Developmental Disorder , 2008, Neuropsychopharmacology.

[55]  E. Cadenas,et al.  Physiology and Neurobiology of Stress and Adaptation: Central Role of the Brain , 2007 .

[56]  D. Bernstein,et al.  Childhood Trauma Questionnaire: A retrospective self-report , 1998 .

[57]  D. Bernstein,et al.  Childhood Trauma Questionnaire: A retrospective self-report manual , 1998 .

[58]  L Harrison,et al.  Introduction--the validity of self-reported drug use: improving the accuracy of survey estimates. , 1997, NIDA research monograph.

[59]  M. First,et al.  Structured clinical interview for DSM-IV axis I disorders : SCID-I : clinical version : scoresheet , 1997 .

[60]  M. First,et al.  Structured clinical interview for DSM-IV axis I disorders : SCID-I: clinical version : administration booklet , 1996 .

[61]  I. Gotlib,et al.  Psychopathology and early experience: a reappraisal of retrospective reports. , 1993, Psychological bulletin.