CCNI | Clinical Computational Neuroimaging Group

OUR GOALS

– Improve diagnosis, prognosis, treatment, and outcomes of patients with brain injury

– Quantify and monitor injury progression and recovery on individual bases

– Develop, validate, and translate quantitative imaging biomarkers

Do our goals resonate with you? Get involved!

MR WITNESS: Imaging can be used to expand treatment options for acute ischemic stroke patients with unwitnessed symptom onsets
Acute lesion topography – size does not always matter; The location of a lesion plays a more critical role in long-term functional outcomes after acute ischemic stroke than its size
Better detection of disturbed brain perfusion can lead to improved patient outcomes
Machine learning algorithms can be used to predict tissue outcome and treatment response after acute ischemic stroke
Improving diagnosis, prognosis and care of comatose cardiac arrest patients; Preserved structural integrity may provide insight into which patients may wakeup despite current poor clinical findings
MRI and computer algorithms can be used to improve diagnosis and care of comatose cardiac arrest patients
Insights about disorders of consciousness; Resting state functional MRI may be able to improve the diagnosis, prognosis and care of comatose cardiac arrest patients