Precision functional MRI mapping reveals distinct connectivity patterns for depression associated with traumatic brain injury.
Shan H SiddiqiSridhar KandalaCarl D HackerHeather C BouchardEric C LeuthardtMaurizio CorbettaRajendra A MoreyDavid L BrodyPublished in: Science translational medicine (2023)
Depression associated with traumatic brain injury (TBI) is believed to be clinically distinct from primary major depressive disorder (MDD) and may be less responsive to conventional treatments. Brain connectivity differences between the dorsal attention network (DAN), default mode network (DMN), and subgenual cingulate have been implicated in TBI and MDD. To characterize these distinctions, we applied precision functional mapping of brain network connectivity to resting-state functional magnetic resonance imaging data from five published patient cohorts, four discovery cohorts ( n = 93), and one replication cohort ( n = 180). We identified a distinct brain connectivity profile in TBI-associated depression that was independent of TBI, MDD, posttraumatic stress disorder (PTSD), depression severity, and cohort. TBI-associated depression was independently associated with decreased DAN-subgenual cingulate connectivity, increased DAN-DMN connectivity, and the combined effect of both. This effect was stronger when using precision functional mapping relative to group-level network maps. Our results support the possibility of a physiologically distinct "TBI affective syndrome," which may benefit from individualized neuromodulation approaches to target its distinct neural circuitry.
Keyphrases
- resting state
- traumatic brain injury
- functional connectivity
- major depressive disorder
- bipolar disorder
- depressive symptoms
- magnetic resonance imaging
- severe traumatic brain injury
- posttraumatic stress disorder
- sleep quality
- high resolution
- white matter
- computed tomography
- case report
- randomized controlled trial
- spinal cord
- machine learning
- small molecule
- blood brain barrier
- electronic health record
- contrast enhanced
- drug delivery
- high throughput
- artificial intelligence
- cancer therapy
- multiple sclerosis