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Abstract #0352

Cerebral blood flow as a marker for cortical parcellation

Roy Haast1, Dimo Ivanov1, Elia Formisano1, and Kâmil Uludağ1

1Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands

Within-subject differences of T1, T2* and cortical thickness can be used to automatically parcellate the cortex, e.g. to guide functional analyses or increase statistical power. Here, we evaluate the additional benefit of baseline CBF as a marker for brain metabolism to differentiate regions. We demonstrate that CBF data is not redundant with the other quantitative MRI parameters. Therefore, a data-driven parcellation of brain regions that incorporates perfusion information allows delineation of the cortex into smaller units and enhances subsequent anatomical & functional analysis.

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