Evidence map›Paper›PMID 31053534›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2019

Machine Learning Analysis of the Relationships Between Gray Matter Volume and Childhood Trauma in a Transdiagnostic Community-Based Sample.

Ashley N Clausen, Robin L Aupperle, Hung-Wen Yeh, Darcy Waller, Janelle Payne, Rayus Kuplicki, Elisabeth Akeman, Martin Paulus, Tulsa 1000 Investigators

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Persistent structural alteration of the extended limbic system in adolescents with childhood maltreatment.European psychiatry : the journal of the Association of European Psychiatrists · 2026
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  11. Examination of the association between exposure to childhood maltreatment and brain structure in young adults: a machine learning analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
    Article
  12. Interpreting weights of multimodal machine learning models-problems and pitfalls.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ashley N ClausenLaureate Institute for Brain Research, Tulsa, Oklahoma; VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center, Durham VA Healthcare System, Durham, North Carolina; Duke Brain Imaging and Analysis Center, Duke Medical University, Durham, North Carolina. Electronic address: ashley.clausen@duke.edu.
Robin L AupperleLaureate Institute for Brain Research, Tulsa, Oklahoma; Department of Community Medicine, University of Tulsa, Tulsa, Oklahoma; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma.
Hung-Wen YehLaureate Institute for Brain Research, Tulsa, Oklahoma.
Darcy WallerDepartment of Psychology, University of Iowa, Iowa City, Iowa.
Janelle PayneLaureate Institute for Brain Research, Tulsa, Oklahoma.
Rayus KuplickiLaureate Institute for Brain Research, Tulsa, Oklahoma.
Elisabeth AkemanLaureate Institute for Brain Research, Tulsa, Oklahoma.
Martin PaulusLaureate Institute for Brain Research, Tulsa, Oklahoma; Department of Community Medicine, University of Tulsa, Tulsa, Oklahoma; Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma.
Tulsa 1000 Investigators

Funding

The Center for Neuroscience-based Mental Health Assessment and Prediction (NEUROMAP)P20GM121312 · NIGMS · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI MARTIN P. PAULUS · 2017 to 2026
$23.7M
Neural Basis of Meal Related Interoceptive Dysfunction in Anorexia NervosaK23MH112949 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI KHALSA, SAHIB · 2017 to 2021
$994k
Approach-Avoidance Conflict-a multi-level predictor for exposure therapy responseK23MH108707 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI AUPPERLE, ROBIN L · 2016 to 2020
$976k
Neuroimaging abnormalities in major depressive disorder: effect of inflammationK01MH096077 · NIMH · LAUREATE INSTITUTE FOR BRAIN RESEARCH · PI SAVITZ, JONATHAN · 2012 to 2016
$906k
NIGMS NIH HHS P20 GM121312NIMH NIH HHS K01 MH096077NIMH NIH HHS K23 MH108707NIMH NIH HHS K23 MH112949
6 · The paper itself

Abstract

backgroundChildhood trauma is a significant risk factor for adult psychopathology. Previous investigations have implicated childhood trauma-related structural changes in anterior cingulate, dorsolateral prefrontal and orbitofrontal cortex, and hippocampus. Using a large transdiagnostic community sample, the goal of this investigation was to differentially associate regional gray matter (GM) volume with childhood trauma severity specifically, distinct from adult psychopathology.

methodsA total of 577 non-treatment-seeking adults (n = 207 men) completed diagnostic, childhood trauma, and structural magnetic resonance imaging assessments with regional GM volume estimated using FreeSurfer. Elastic net analysis was conducted in a nested cross-validation framework, with GM volumes, adult psychopathology, age, education, sex, and magnetic resonance imaging coil type as potential predictors for childhood trauma severity.

resultsElastic net identified age, education, sex, medical condition, adult psychopathology, and 13 GM regions as predictors of childhood trauma severity. GM regions identified included right caudate; left pallidum; bilateral insula and cingulate sulcus; left superior, inferior, and orbital frontal regions; and regions within temporal and parietal lobes and cerebellum.

conclusionsResults from this large, transdiagnostic sample implicate GM volume in regions central to current neurobiological theories of trauma (e.g., prefrontal cortex) as well as additional regions involved in reward, interoceptive, attentional, and sensory processing (e.g., striatal, insula, and parietal/occipital cortices). Future longitudinal studies examining the functional impact of structural changes in this broader network of regions are needed to clarify the role each may play in longer-term outcomes following trauma.

Indexed as

Adverse Childhood ExperiencesAdolescentAdultBrainFemaleGray MatterHumansMachine LearningMagnetic Resonance ImagingMaleMiddle AgedYoung AdultAdult psychopathologyChildhoodElastic netGray matter volumeMRITrauma exposure

Identifiers

PMID31053534
PMCPMC6688962

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.