Abstract #3682

Function Lateralization Through Measuring Coherence Laterality

Ze Wang¹, John Pluta², Dawn Mechanic-Hamilton², Simon Glynn², John A. Detre²

¹Psychiatry, University of Pennsylvania, Philadelphia, PA, USA; ²Neurology, University of Pennsylvania, Philadelphia, PA, USA

We proposed a data-driven approach for brain function lateralization using the coherence difference of functional MRI (fMRI) data in homologous regions-of-interest (ROI) in each hemisphere. A lateralized motor task data was used to demonstrate that coherence laterality (CL) within the functional ROI identified the correct function laterality as compared to data acquired at rest. In patients with unilateral epilepsy, CL in a hippocampus-parahippocampus-fusiform (HPF) ROI predicted the correct memory laterality, and the CL index significantly differentiated the right side group to the left side group. By contrast, normal controls showed a symmetric HPF CLI distribution.