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Abstract #0813

A Semi-Automated FMRI Method to Determine Language Lateralisation in Neurosurgical Candidates

Karlene M. Fraser1, 2, Ruth O'Gorman, 23, Jozef Jarosz4, Gareth Barker2, Jonathan Ashmore4

1Neuroimaging, South London & Maudsley NHS Foundation Trust, London, United Kingdom; 2Centre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, United Kingdom; 3Centre for MR Research, University Children's Hospital, Zurich, Switzerland; 4Neuroradiology, King's College Hospital, London, United Kingdom

Language fmri is becoming a standalone clinical procedure for the pre-operative assessment of neurosurgical patients, but one possible confound to the interpretation of language fMRI is that the apparent (bi)laterality of language regions depends heavily on the selected statistical threshold. This study aims to develop a simple, semi-automated post-processing method to determine language lateralisation for presurgical fMRI patients. Using this method, laterality index plots were successfully generated for all participants and were in agreement with expert neuroradiological assessment, suggesting that this method provides a simple but robust quantitative assessment of language laterality.