Abstract #4638

Optimization of motor fMRI activation in the setting of brain tumors via temporal resampling applied to the canonical HRF

Shruti Agarwal¹, Jun Hua^2,3, Haris I. Sair¹, Sachin K. Gujar¹, Scott Faro¹, Hanzhang Lu^2,3, and Jay J. Pillai^1,4

¹Division of Neuroradiology, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ²Division of MR Research, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, ³F. M. Kirby Research Center For Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, ⁴Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States

BOLD fMRI, which is an indirect measure of neuronal activity, involves several seconds offset in both initiation and cessation of the microvascular response with respect to actual timing of neural activity. In this study, we propose resampling of the canonical hemodynamic response function (HRF) to account for subject-wise temporal variability in BOLD responses in task paradigms. We demonstrate that temporal resampling of the canonical HRF may allow recapturing of lost signals in motor task activation maps (task fMRI). Further, it can also mitigate the effects of neurovascular uncoupling (NVU) in the sensorimotor network in patients with perirolandic gliomas.

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