Preservation of anticorrelated brain networks predicts recovery after traumatic brain injury
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
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (20)
Samuel B. Snider
Division of Neurocritical Care, Department of Neurology, Brigham and Women’s Hospital
Hui Shi
Yelena G. Bodien
Department Surgery, Vanderbilt University Medical Center
Calvin Howard
Center for Brain Circuit Therapeutics, Departments of Neurology, Psychiatry and Radiology, Brigham and Women’s Hospital
Xiaoying Sun
Alexandra J. Golby
Harvard Medical School
Karl A. Zimmerman
United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London
Guido Bertolini
Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS
Sandra Magnoni
Anesthesiology and Pain Medicine Service, Department of Medicine, Surgery and Pharmacy, University of Sassari
Vincent Dunet
Radiology Department, Lausanne University Hospital (CHUV)
Mauro Oddo
Clinical Research Center and Directorate of Innovation and Clinical Research, Lausanne University Hospital (CHUV), Faculty of Biology and Medicine, University of Lausanne
Neil S. N. Graham
United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London
Emma-Jane Mallas
United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London
Federico Moro
Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri Istituto di Ricovero e Cura a Carattere Scientifico
Pratik Mukherjee
Department of Radiology, University of California San Francisco
Nancy R. Temkin
Department of Neurological Surgery, University of Washington
Sonia Jain
David J. Sharp
United Kingdom Dementia Research Institute, Care Research and Technology Centre, Imperial College London
Brian L. Edlow
Michael D. Fox