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Distinct Connectivity Patterns Identified for TBI-Associated Depression

Medically reviewed by Drugs.com.

By Elana Gotkine HealthDay Reporter

FRIDAY, July 7, 2023 -- Depression associated with traumatic brain injury (TBI) has distinct connectivity patterns, according to a study published online July 5 in Science Translational Medicine.

Noting that depression associated with TBI is believed to be clinically distinct from primary major depressive disorder (MDD), Shan H. Siddiqi, M.D., from Harvard Medical School in Boston, and colleagues characterized these distinctions by applying precision functional mapping of brain network connectivity to resting state magnetic resonance imaging data from five published patient cohorts, including four discovery cohorts and one replication cohort (93 and 180 patients, respectively).

The researchers found that TBI-associated depression had a distinct brain connectivity profile, which was independent of TBI, MDD, posttraumatic stress disorder, depression severity, and cohort. Independent associations were seen for decreased dorsal attention network-subgenual cingulate connectivity, increased dorsal attention network-default mode network connectivity, and the combined effect of both with TBI-associated depression. Relative to group-level network maps, when using precision functional mapping, the effect was stronger.

"Our findings help explain how the physical trauma to specific brain circuits can lead to development of depression. If we're right, it means that we should be treating depression after TBI like a distinct disease," Siddiqi said in a statement. "Many clinicians have suspected that this is a clinically distinct disorder with a unique pattern of symptoms and unique treatment response, including poor response to conventional antidepressants -- but until now, we didn't have clear physiological evidence to prove this."

Several authors disclosed ties to the biopharmaceutical industry.

Abstract/Full Text (subscription or payment may be required)

Disclaimer: Statistical data in medical articles provide general trends and do not pertain to individuals. Individual factors can vary greatly. Always seek personalized medical advice for individual healthcare decisions.

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