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Abstract #2077

Automated and Individualized fMRI Processing for Pre-surgical Mapping: Comparison with MEG and Cortical Stimulation.

Tynan Stevens 1 , Tim Bardouille 2,3 , Gerhard Stroink 1 , David Clarke 1,4 , Ryan D'Arcy 5 , and Steven Beyea 1,2

1 Dalhousie University, Halifax, Nova Scotia, Canada, 2 BIOTIC, Halifax, Nova Scotia, Canada, 3 IWK Hospital, Halifax, Nova Scotia, Canada, 4 QEII Health Sciences Centre, Halifax, Nova Scotia, Canada, 5 Simon Fraser University, Burnaby, British Columbia, Canada

Functional MRI for pre-surgical mapping is hampered by a high degree of individual variability, requiring experts to make appropriate data processing choices. We have developed a method for automatic and individualized processing of pre-surgical mapping using the ROC-r framework. This method optimizes both pre-processing pipelines and activation thresholds on a case-by-case basis. We compare localization obtained for fMRI with more direct measures of neural activity (MEG, cortical stimulation, and sensory evoked potentials). We find highly concordant spatial localization between modalities, showing the potential of automated optimization of fMRI processing for pre-surgical mapping.

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