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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