CCNI | Clinical Computational Neuroimaging Group


The Clinical Computational Neuroimaging group focuses on the development of quantitative neuroimaging biomarkers to improve the diagnoses, prognoses, management, and ultimately outcomes of people with brain injury as a result of stroke, cardiac arrest or trauma. We use state-of-the-art imaging acquisition and image processing techniques and advanced data analytics approaches including machine learning to create quantitative biomarkers that can be used to monitor disease progression or recovery. We use imaging to develop treatment options for patients for whom currently none exist. Selected examples of some of our research are presented here. More details can be found on our Publications page.

for more information about our research.


Supported in part by the American Heart Association Precision Medicine Initiative; the MGH Institute for Heart, Vascular and Stroke Care SPARK grant; MGH Executive Committee on Research; Football Players Health Study at Harvard University; PHS NIH grants R01NS059775, R01NS063925, R01NS051412, R01NS102574, P50NS05134, P41EB015896, U01NS069208,  HHSN268201500021C (H-1). We gratefully acknowledge the support of NVIDIA Corporation for the donation of the Tesla K40 and Titan XP used for some of our research.

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