Abstract #1954

Automated Hippocampal Subfield Segmentation using Ultrahigh Field MRI in Patients with Epilepsy

Judy Alper^1,2, Rebecca E Feldman¹, Long Xie³, Alexandru L Rus⁴, Lara V Marcuse⁵, Madeline C Fields⁵, Bradley N Delman⁶, Hung-Mo Lin⁷, Patrick Hof⁸, and Priti Balchandani¹

¹Radiology, Icahn School of Medicine At Mount Sinai, New York, NY, United States, ²Biomedical Engineering, City College of New York, New York, NY, United States, ³Biomedical Engineering, University of Pennsylvania, Philadelphia, PA, United States, ⁴Icahn School of Medicine At Mount Sinai, New York, NY, United States, ⁵Neurology, Mount Sinai Medical Center, New York, NY, United States, ⁶Radiology, Mount Sinai Medical Center, New York, NY, United States, ⁷Population Health Science and Policy Department, Icahn School of Medicine At Mount Sinai, New York, NY, United States, ⁸Neuroscience, Icahn School of Medicine At Mount Sinai, New York, NY, United States

Epilepsy is a widely prevalent, disabling condition, whose anatomical source is not clearly identifiable on clinical MRI scans. Identifying hippocampal subfields associated with epilepsy may elucidate mechanisms of epileptigenesis and assist treatment planning. We performed high-resolution 7T-MRI, enabling precise subfield measurements in thirty patients and matched controls. Greater CA1 and DG asymmetries were found in patients compared to controls. In a subset of mesial-temporal lobe epilepsy patients, we found reduced CA2 on the ipsilateral side in patients compared to controls. Identifying hippocampal subfield biomarkers in epilepsy can result in better treatment planning and monitoring in epilepsy.

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