23. Hui Shi, BA

Job Title

Research Assistant, Neurology

Academic Rank

Staff/Research Assistant

Department

Neurology

Authors

Hui Shi, Yelena G. Bodien, Karl Zimmerman, David Sharp, Michael D. Fox, Brian L. Edlow, Samuel B. Snider

Principal Investigator

Samuel B. Snider

Categories

Tags

Disruption of the Fundamental Mode of Brain Function Predicts Outcome After Traumatic Brain Injury

Scientific Abstract

After traumatic brain injuries (TBIs), many patients remain with severe disability due to cognitive impairment. It is not currently possible to predict individuals’ recoveries. Resting state functional MRI (rs-fMRI) now enables the measurement of functional integrity of distributed brain networks and the “toggling” of activity between the task-positive (Salience) and task-negative (Default Mode) networks (DMN), which are both associated with normal cognition. Thus, we sought to test whether rs-fMRI-measured network integrity predicts functional outcomes after TBI.

We combined three datasets to form a sample of 101 patients with moderate/severe TBI and 207 matching healthy controls. For all participants, we obtained an MRI within 2 months of injury. The primary outcome was Glasgow Outcome Scale -Extended (GOSE) < 5 at 6-months post injury, indicating severe disability. We segmented the brains into 7 resting state networks, each represented by 3-4 regions of interest. We screened all region-to-region connections using univariate logistic regressions, performing bidirectional stepwise selection on FDR-significant variables. When controlling for prognostic markers, only the Salience-DMN inter-network connectivity was associated with unfavorable outcome (aOR, 1.5, p< 0.05). These findings suggest that “toggle-switch” preservation may be a critical marker of brain health with implications for improved disability prediction and neuromodulatory treatment targets.

Lay Abstract

After traumatic brain injuries (TBIs), many patients remain with severe disability due to cognitive impairment. It is not currently possible to predict individuals’ recoveries. Resting state functional MRI (rs-fMRI) now enables the measurement of brain region connectivity and communication and the “toggling” of activity between the task-positive (Salience) and task-negative (Default Mode) networks (DMN), which are both associated with normal function. Thus, we sought to test whether rs-fMRI-measured network functionality predicts functional outcomes after TBI.

We combined three datasets to form a sample of 101 patients with moderate/severe TBI and 207 matching healthy controls. For all participants, we obtained an MRI within 2 months of injury. The primary outcome was Glasgow Outcome Scale -Extended (GOSE) < 5 at 6-months post injury, indicating severe disability. We split the brains into 7 networks, each represented by 3-4 regions of interest. We took the region-to-region connectivity with the strongest relationship to outcome and determined the effect of clinical variables on these region-outcome connections. When controlling for GOSE outcomes, only the Salience-DMN inter-network connectivity was associated with unfavorable outcome. These findings suggest that “toggle-switch” preservation may be a critical marker of brain health with implications for improved disability prediction and treatment targets.

Clinical Implications

The additional significance of the Salience and Default Mode Network regions in relation to TBI recovery provides a predictor for clinicians. With special focus on the recovery and severity of injury to these areas, patients may face a smoother recovery.