Shun Yao
Sun Yat-sen University , ChinaTitle: Towards Clinical Applications of Movie-fMRI: Presurgical Language Mapping in Patients with Brain Tumor
Abstract
To extend the
use of non-invasive fMRI techniques to patients with neurological deficits who
cannot perform conventional tasks used in task-based fMRI (tb-fMRI), we
developed a novel movie-watching fMRI (mw-fMRI) paradigm not involving an
explicit task and assessed its performance on presurgical language mapping in
34 brain tumor patients, relative to tb-fMRI, and resting-state (rs-fMRI).
Language maps were generated from task-fMRI using a general linear model, and
from mw-fMRI and rs-fMRI using independent component analysis. Compared with
tb-fMRI, mw-fMRI demonstrated reduced head motion, higher language mapping
specificity, and higher sensitivity in the temporal cortex, consistent with the
hypothesis that a naturalistic paradigm can engage the language system
effectively and could complement or be an alternative to tb-fMRI in patients
with a temporoparietal lesion, for whom high-precision presurgical mapping of
this area is essential, and task performance may be challenging.
Biography
Shun Yao
obtained his MD and Ph.D. degrees from Southern Medical University (China) and
accomplished his Postdoctoral Research Fellow at Brigham and Women's Hospital,
Harvard Medical School (2018-2021, USA). His research interests include the
application of artificial intelligence, radio-/pathogenomics, and
structural/functional magnetic resonance imaging in patients with neurological
diseases including brain tumors. He has over 50 publications that have been
cited over 600 times, and his publication h-index is 16. He has been serving as
an editorial board member of Journal of Neuroimaging, Frontiers in
Neurology/ Neuroscience/Aging Neuroscience/Endocrinol. /Oncology, and an
active reviewer for Cancer Imaging, Hum. Brain Mapp., NMR Biomed., Neural
Regen. Res., etc. He is also a member of Harvard Alumni Association,
American Neurological Association (ANA), and American Academy of Neurology
(ANN).
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