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Distinct patterns of reduced prefrontal and limbic grey matter volume in childhood general and internalizing psychopathology.

ABSTRACT: Reduced grey matter volume (GMV) is widely implicated in psychopathology, but studies have found mostly overlapping areas of GMV reduction across disorders rather than unique neural signatures, potentially due to pervasive comorbidity. GMV reductions may be associated with broader psychopathology dimensions rather than specific disorders. We used an empirically supported bifactor model consisting of common psychopathology and internalizing- and externalizing-specific factors to evaluate whether latent psychopathology dimensions yield a clearer, more parsimonious pattern of GMV reduction in prefrontal and limbic/paralimbic areas implicated in individual disorders. A community sample of children (n=254, ages 6-10) was used to to evaluate whether GMV reductions could constitute early neural risk factors. The common psychopathology factor was associated with reduced GMV in prefrontal areas (dorsal, orbitofrontal, ventrolateral). The internalizing-specific factor was related to reduced GMV in limbic/paralimbic areas (hippocampus, amygdala, insula). No significant associations were found between GMV and the externalizing-specific factor after accounting for common psychopathology.

SUBMITTER: Snyder HR

PROVIDER: S-EPMC5794221 | biostudies-other | 2017 Nov

REPOSITORIES: biostudies-other

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Distinct patterns of reduced prefrontal and limbic grey matter volume in childhood general and internalizing psychopathology.

Snyder Hannah R HR Hankin Benjamin L BL Sandman Curt A CA Head Kevin K Davis Elysia P EP

Clinical psychological science : a journal of the Association for Psychological Science 20170726 6

Reduced grey matter volume (GMV) is widely implicated in psychopathology, but studies have found mostly overlapping areas of GMV reduction across disorders rather than unique neural signatures, potentially due to pervasive comorbidity. GMV reductions may be associated with broader psychopathology dimensions rather than specific disorders. We used an empirically supported bifactor model consisting of common psychopathology and internalizing- and externalizing-specific factors to evaluate whether ...[more]

PMID: 29399423

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Project description:ImportanceSubstance 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.ObjectivesTo 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 participantsStructural 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.InterventionStandard 12-step, recovery-based, inpatient addiction treatment for all participants with SUD.Main outcomes and measuresGray matter volume (GMV), subsequent substance use relapse, days to relapse, and severity of relapse.ResultsControlling 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 relevanceFindings 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.

Dataset Information

Distinct patterns of reduced prefrontal and limbic grey matter volume in childhood general and internalizing psychopathology.

Publications

Distinct patterns of reduced prefrontal and limbic grey matter volume in childhood general and internalizing psychopathology.

Similar Datasets

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