Preservation of anticorrelated brain networks predicts recovery after traumatic brain injury

Some patients with moderate to severe traumatic brain injury (TBI) make a full recovery, while others remain severely disabled. Accurate prognostication is important, because withdrawal of life-sustaining therapy based on perceived poor prognosis is the leading cause of death after TBI. Synchronized activity between brain regions, measurable with resting-state functional MRI (rs-fMRI), may underlie neurological recovery. However, which functional connections are critical for recovery, and whether functional connectivity measured shortly after brain injury predicts long-term recovery, is unknown. Here, we analyzed data from three prospective cohorts of patients with moderate or severe TBI (N = 116 patients; 134 controls) who underwent rs-fMRI shortly after injury. The strongest predictor of 6-mo functional outcomes in the Training Cohort (mean cross validation AUC 0.94) and independent Testing Cohort (AUC 0.78; <i>P</i> = 0.001) was functional connectivity between three pairs of brain regions from functionally distinct networks, two of which were anticorrelated. Results were robust to controlling for sedation (<i>P</i> = 0.02) and level of consciousness at time of MRI (<i>P</i> = 0.02). Finally, preserved anticorrelations improved the leave-one-out outcome prediction accuracy of an established prognostic score (AUC 0.90 vs. 0.80; <i>P</i> = 0.02). Preserved functional anticorrelations in acutely traumatized brains identify patients with the neurological substrate required for recovery. This biomarker can inform prognostic decisions in patients at high risk for death from withdrawal of life-sustaining therapy.

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Journal
Proceedings of the National Academy of Sciences
Published
2025-12-22
DOI
https://doi.org/10.1073/pnas.2518159122
Primary Topic
Functional Brain Connectivity Studies
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article
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article

Preservation of anticorrelated brain networks predicts recovery after traumatic brain injury

Brian L. Edlow, Alexandra J. Golby, Calvin Howard, D J Sharp et al.
Proceedings of the National Academy of Sciences
Functional Brain Connectivity Studies
article

Preservation of anticorrelated brain networks predicts recovery after traumatic brain injury

Brian L. Edlow, Alexandra J. Golby, Calvin Howard, D J Sharp, Vincent Dunet, Yelena G. Bodien, Marsha L. Fox, Karl Zimmerman, Sandra Magnoni, Samuel B. Snider, Neil S N Graham, Mauro Oddo, Hui Shi, Federico Moro, Xiaoying Sun, Guido Bertolini, Nancy R. Temkin, Emma-Jane Mallas, Pratik Mukherjee, Sonia Jain
article en

Abstract

Some patients with moderate to severe traumatic brain injury (TBI) make a full recovery, while others remain severely disabled. Accurate prognostication is important, because withdrawal of life-sustaining therapy based on perceived poor prognosis is the leading cause of death after TBI. Synchronized activity between brain regions, measurable with resting-state functional MRI (rs-fMRI), may underlie neurological recovery. However, which functional connections are critical for recovery, and whether functional connectivity measured shortly after brain injury predicts long-term recovery, is unknown. Here, we analyzed data from three prospective cohorts of patients with moderate or severe TBI (N = 116 patients; 134 controls) who underwent rs-fMRI shortly after injury. The strongest predictor of 6-mo functional outcomes in the Training Cohort (mean cross validation AUC 0.94) and independent Testing Cohort (AUC 0.78; <i>P</i> = 0.001) was functional connectivity between three pairs of brain regions from functionally distinct networks, two of which were anticorrelated. Results were robust to controlling for sedation (<i>P</i> = 0.02) and level of consciousness at time of MRI (<i>P</i> = 0.02). Finally, preserved anticorrelations improved the leave-one-out outcome prediction accuracy of an established prognostic score (AUC 0.90 vs. 0.80; <i>P</i> = 0.02). Preserved functional anticorrelations in acutely traumatized brains identify patients with the neurological substrate required for recovery. This biomarker can inform prognostic decisions in patients at high risk for death from withdrawal of life-sustaining therapy.

Proceedings of the National Academy of SciencesVol. 122(52)
Brigham and Women's Hospital (US), Harvard University (US), University of Sassari (IT), University of California, San Francisco (US), Mario Negri Institute for Pharmacological Research (IT), University of Washington (US), Hammersmith Hospital (GB), Centre Hospitalier Universitaire Vaudois (CH), Massachusetts General Hospital (US), Circuit Therapeutics (United States) (US), Center for Neuro-Oncology (US), Mechanical Design (Czechia) (CZ), NIHR Imperial Biomedical Research Centre (GB), UK Dementia Research Institute (GB), Athinoula A. Martinos Center for Biomedical Imaging (US), Human Longevity (United States) (US), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Neurological Surgery (US), Imperial College London (GB), Vanderbilt University Medical Center (US), University of Lausanne (CH)
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Openalex Percentile: Top 34%
Functional Brain Connectivity Studies
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