We focus on two main areas of research: (1) neural basis of cognitive control and decision-making, with emphasis on statistical methods for modeling hemodynamic responses in decision-related neuroimaging studies, and (2) the clinical implications of neurovascular deficits in brain tumors and other vascular disorders. We developed a set of statistical techniques that precisely measure how neurovascular coupling varies across individuals or groups which provides a means of controlling between-subject variance in neurovascular coupling to improve the estimation of the underlying neural activity. We have also developed methods to measure the disruption of neurovascular coupling (i.e. BOLD asynchrony) by infiltrative glioma to estimate tumor boundaries and better predict the risk of recurrence.

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BOLD asynchrony elucidates tumor burden in IDH-mutated gliomas (Neuro-Oncology, 2022) – BOLD asynchrony is proportional to tumor burden in IDH-mutated gliomas, is more sensitive to tumor burden than standard-of-care MR imaging, and can be used for neurosurgical planning of extent of resection.

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