TY - JOUR
T1 - Associations Between Traumatic Stress, Brain Volumes and Post-traumatic Stress Disorder Symptoms in Children
T2 - Data from the ABCD Study
AU - Bustamante, Daniel
AU - Amstadter, Ananda B.
AU - Pritikin, Joshua N.
AU - Brick, Timothy R.
AU - Neale, Michael C.
N1 - Funding Information:
The dataset used in this paper comes from the ABCD Study® supported by the National Institutes of Health. Work for this project was supported by the Integrative Life Sciences Doctoral Program and the Virginia Institute for Psychiatric and Behavioral Genetics T32 Training Grant MH020030-21A1 from the National Institute of Mental Health (DB), K02 AA023239 from the National Institute on Alcohol Abuse and Alcoholism and from VCU’s Presidential Research Quest Fund (AA), the National Institute on Drug Abuse R01 DA049867-01A1 (JP and MN; PI: MN), and U01 DA051037-01 (MN) Grants.
Funding Information:
Researchers in this study are partially funded by the NIMH, NIAAA and NIDA. Analyses were conducted on the Virginia Institute for Psychiatric and Behavioral Genetics computing cluster at Virginia Commonwealth University. This study and article would not have been feasible without the ABCD Study® Consortium, including all its personnel, research participants, and without the helpful detailed feedback of the reviewers and advice of Drs. Hermine Maes, James Bjork, Christina Sheerin, Kaitlin Bountress, J. Eric Schmitt, and Robert Kirkpatrick.
Funding Information:
Researchers in this study are partially funded by the NIMH, NIAAA and NIDA. Analyses were conducted on the Virginia Institute for Psychiatric and Behavioral Genetics computing cluster at Virginia Commonwealth University. This study and article would not have been feasible without the ABCD Study? Consortium, including all its personnel, research participants, and without the helpful detailed feedback of the reviewers and advice of Drs. Hermine Maes, James Bjork, Christina Sheerin, Kaitlin Bountress, J. Eric Schmitt, and Robert Kirkpatrick.
Publisher Copyright:
© 2021, The Author(s).
PY - 2022/3
Y1 - 2022/3
N2 - Reduced volumes in brain regions of interest (ROIs), primarily from adult samples, are associated with posttraumatic stress disorder (PTSD). We extended this work to children using data from the Adolescent Brain Cognitive Development (ABCD) Study® (N = 11,848; Mage = 9.92). Structural equation modeling and an elastic-net (EN) machine-learning approach were used to identify potential effects of traumatic events (TEs) on PTSD symptoms (PTSDsx) directly, and indirectly via the volumes 300 subcortical and cortical ROIs. We then estimated the genetic and environmental variation in the phenotypes. TEs were directly associated with PTSDsx (r = 0.92) in children, but their indirect effects (r < 0.0004)—via the volumes of EN-identified subcortical and cortical ROIs—were negligible at this age. Additive genetic factors explained a modest proportion of the variance in TEs (23.4%) and PTSDsx (21.3%), and accounted for most of the variance of EN-identified volumes of four of the five subcortical (52.4–61.8%) three of the nine cortical ROIs (46.4–53.3%) and cerebral white matter in the left hemisphere (57.4%). Environmental factors explained most of the variance in TEs (C = 61.6%, E = 15.1%), PTSDsx (residual-C = 18.4%, residual-E = 21.8%), right lateral ventricle (C = 15.2%, E = 43.1%) and six of the nine EN-identified cortical ROIs (C = 4.0–13.6%, E = 56.7–74.8%). There is negligible evidence that the volumes of brain ROIs are associated with the indirect effects of TEs on PTSDsx at this age. Overall, environmental factors accounted for more of the variation in TEs and PTSDsx. Whereas additive genetic factors accounted for most of the variability in the volumes of a minority of cortical and in most of subcortical ROIs.
AB - Reduced volumes in brain regions of interest (ROIs), primarily from adult samples, are associated with posttraumatic stress disorder (PTSD). We extended this work to children using data from the Adolescent Brain Cognitive Development (ABCD) Study® (N = 11,848; Mage = 9.92). Structural equation modeling and an elastic-net (EN) machine-learning approach were used to identify potential effects of traumatic events (TEs) on PTSD symptoms (PTSDsx) directly, and indirectly via the volumes 300 subcortical and cortical ROIs. We then estimated the genetic and environmental variation in the phenotypes. TEs were directly associated with PTSDsx (r = 0.92) in children, but their indirect effects (r < 0.0004)—via the volumes of EN-identified subcortical and cortical ROIs—were negligible at this age. Additive genetic factors explained a modest proportion of the variance in TEs (23.4%) and PTSDsx (21.3%), and accounted for most of the variance of EN-identified volumes of four of the five subcortical (52.4–61.8%) three of the nine cortical ROIs (46.4–53.3%) and cerebral white matter in the left hemisphere (57.4%). Environmental factors explained most of the variance in TEs (C = 61.6%, E = 15.1%), PTSDsx (residual-C = 18.4%, residual-E = 21.8%), right lateral ventricle (C = 15.2%, E = 43.1%) and six of the nine EN-identified cortical ROIs (C = 4.0–13.6%, E = 56.7–74.8%). There is negligible evidence that the volumes of brain ROIs are associated with the indirect effects of TEs on PTSDsx at this age. Overall, environmental factors accounted for more of the variation in TEs and PTSDsx. Whereas additive genetic factors accounted for most of the variability in the volumes of a minority of cortical and in most of subcortical ROIs.
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U2 - 10.1007/s10519-021-10092-6
DO - 10.1007/s10519-021-10092-6
M3 - Article
C2 - 34860306
AN - SCOPUS:85120549014
VL - 52
SP - 75
EP - 91
JO - Behavior Genetics
JF - Behavior Genetics
SN - 0001-8244
IS - 2
ER -