A history of childhood trauma is linked to abnormal connectivity in the brain in adults with major depressive disorder, reports a study lead by University of Pennsylvania researchers. It is the first data-driven study to demonstrate symptom-specific, system-level changes in brain network connectivity in major depressive disorder (MDD).
“With estimates of approximately 10 percent of all children in the United States having been subjected to child abuse, the significance of child maltreatment on brain development and function is an important consideration. This study not only confirms the important relationship between childhood trauma and major depression, but also links patients' experiences of childhood trauma with specific functional brain network abnormalities. This suggests a possible environmental contributor to neurobiological symptoms,"
said Yvette I. Sheline, MD, McLure professor of Psychiatry, Radiology, and Neurology, and director of the Center for Neuromodulation in Depression and Stress (CNDS) in the Perelman School of Medicine at the University of Pennsylvania.
Traces Of Trauma
MDD is a common mental disorder characterized by a variety of symptoms — including persistently depressed mood, loss of interest, low energy, insomnia or hypersomnia, and more. These symptoms impair daily life and increase the risk of suicide.
In addition, experiences of childhood trauma, including physical, sexual, or emotional abuse, as well as physical or emotional neglect, have been associated with the emergence and persistence of depressive and anxiety disorders. However, the neurobiological mechanisms underlying MDD are still largely unknown.
[caption id=“attachment_98690” align=“aligncenter” width=“680”] Radar plots showing patterns of association of network connectivity to subsets of physical and emotional abuse and neglect (A), anxious misery (B), positive traits (C), and sexual abuse (D).
Credit: Meichen Yu el al. CC-BY[/caption]
To address this challenge, a team led by Sheline utilized functional magnetic resonance imaging (fMRI) to investigate the brain networks and patterns that underlie the disorder. Researchers compared brain activity in 189 participants with MDD to activity of 39 healthy controls.
First author Meichen Yu, a post-doctoral fellow in the CNDS, conducted statistical analyses to determine the associations between temporal correlations in connectivity within and between 10 well-established, large-scale resting state networks (RSNs) and clinical measures, including both past history of trauma and current clinical symptoms, such as depression, anxiety, suicidality. These symptoms were measured by 213 item-level survey questions.
Abnormal Network Connectivity
The authors found that in patients with MDD, while the strongest correlations were with childhood trauma, abnormal network connectivity was also associated with current symptoms of depression. Even though participants in this study were not selected as participants based on a history of trauma, and the brain imaging took place decades after trauma occurred, prior trauma was evident in abnormal functional connectivity.
“These results suggest that resting-state network connectivity may point to some of the brain mechanisms underlying the symptoms of major depressive disorder. It may have the potential to serve as an effective biomarker, aiding in the development of depression biotypes and opening up the possibility of targeted diagnosis,"
Future work in this field could build on these multivariate patient symptom–brain network associations with other depressive patient populations and other samples with a history of childhood trauma to determine whether these associations generalize, the authors conclude.
Meichen Yu, Kristin A. Linn, Russell T. Shinohara, Desmond J. Oathes, Philip A. Cook, Romain Duprat, Tyler M. Moore, Maria A. Oquendo, Mary L. Phillips, Melvin McInnis, Maurizio Fava, Madhukar H. Trivedi, Patrick McGrath, Ramin Parsey, Myrna M. Weissman, Yvette I. Sheline Childhood trauma history is linked to abnormal brain connectivity in major depression Proceedings of the National Academy of Sciences Apr 2019, 201900801; DOI: 10.1073/pnas.1900801116
Top Image: Meichen Yu el al. CC-BY