Preservation of anticorrelated brain networks predicts recovery after traumatic brain injury

S Samuel B. Snider (Division of Neurocritical Care, Department of Neurology, Brigham and Women’s Hospital) H Hui Shi Y Yelena G. Bodien (Department Surgery, Vanderbilt University Medical Center) C Calvin Howard (Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry and Radiology, Brigham and Women’s Hospital) X Xiaoying Sun A Alexandra J. Golby (Harvard Medical School) K Karl A. Zimmerman (United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London) G Guido Bertolini (Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS) S Sandra Magnoni (Anesthesiology and Pain Medicine Service, Department of Medicine, Surgery and Pharmacy, University of Sassari) V Vincent Dunet (Radiology Department, Lausanne University Hospital (CHUV)) M Mauro Oddo (Clinical Research Center and Directorate of Innovation and Clinical Research, Lausanne University Hospital (CHUV), Faculty of Biology and Medicine, University of Lausanne) N Neil S. N. Graham (United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London) E Emma-Jane Mallas (United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London) F Federico Moro (Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri Istituto di Ricovero e Cura a Carattere Scientifico) P Pratik Mukherjee (Department of Radiology, University of California San Francisco) N Nancy R. Temkin (Department of Neurological Surgery, University of Washington) S Sonia Jain D David J. Sharp (United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London) B Brian L. Edlow M Michael D. Fox

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; P = 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 ( P = 0.02) and level of consciousness at time of MRI ( P = 0.02). Finally, preserved anticorrelations improved the leave-one-out outcome prediction accuracy of an established prognostic score (AUC 0.90 vs. 0.80; P = 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.

Article Details

Volume / Issue Vol. 122, Issue 52
Published December 30, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (20)

S

Samuel B. Snider

Division of Neurocritical Care, Department of Neurology, Brigham and Women’s Hospital

H

Hui Shi

Y

Yelena G. Bodien

Department Surgery, Vanderbilt University Medical Center

C

Calvin Howard

Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry and Radiology, Brigham and Women’s Hospital

X

Xiaoying Sun

A

Alexandra J. Golby

Harvard Medical School

K

Karl A. Zimmerman

United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London

G

Guido Bertolini

Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS

S

Sandra Magnoni

Anesthesiology and Pain Medicine Service, Department of Medicine, Surgery and Pharmacy, University of Sassari

V

Vincent Dunet

Radiology Department, Lausanne University Hospital (CHUV)

M

Mauro Oddo

Clinical Research Center and Directorate of Innovation and Clinical Research, Lausanne University Hospital (CHUV), Faculty of Biology and Medicine, University of Lausanne

N

Neil S. N. Graham

United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London

E

Emma-Jane Mallas

United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London

F

Federico Moro

Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri Istituto di Ricovero e Cura a Carattere Scientifico

P

Pratik Mukherjee

Department of Radiology, University of California San Francisco

N

Nancy R. Temkin

Department of Neurological Surgery, University of Washington

S

Sonia Jain

D

David J. Sharp

United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London

B

Brian L. Edlow

M

Michael D. Fox