TY - JOUR
T1 - Machine Learning Analysis of the Relationships Between Gray Matter Volume and Childhood Trauma in a Transdiagnostic Community-Based Sample
AU - Tulsa 1000 Investigators
AU - Clausen, Ashley N.
AU - Aupperle, Robin L.
AU - Yeh, Hung Wen
AU - Waller, D.
AU - Payne, Janelle
AU - Kuplicki, R.
AU - Akeman, Elisabeth
AU - Paulus, Martin
AU - Bodurka, J.
AU - Simmons, Kyle
AU - Feinstein, Justin
AU - Savitz, Jonathan
AU - Cha, Yoon Hee
AU - Khalsa, Sahib S.
AU - Victor, Teresa
N1 - Publisher Copyright:
© 2019
PY - 2019/8
Y1 - 2019/8
N2 - Background: Childhood 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. Methods: A 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. Results: Elastic 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. Conclusions: Results 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.
AB - Background: Childhood 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. Methods: A 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. Results: Elastic 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. Conclusions: Results 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.
KW - Adult psychopathology
KW - Childhood
KW - Elastic net
KW - Gray matter volume
KW - MRI
KW - Trauma exposure
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U2 - 10.1016/j.bpsc.2019.03.001
DO - 10.1016/j.bpsc.2019.03.001
M3 - Article
C2 - 31053534
AN - SCOPUS:85069671217
SN - 2451-9022
VL - 4
SP - 734
EP - 742
JO - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
JF - Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
IS - 8
ER -