Diagnostic value of rs-fMRI indicators based on SVM classification in adult patients with MRI-negative temporal lobe epilepsy

Rs-fMRI technology provides a range of analytical approaches that expand the scope of epilepsy research, and these algorithms provide unique views on pathophysiological processes that complement each other in interpreting regional spontaneous brain activity. ALFF, fALFF and ReHo can effectively identify MRI negative TLE (MRIn TLE) patients based on support vector machine algorithm. We hypothesized that there were abnormal changes in DMN-related brain regions in MRIn TLE patients, and the brain function indexes of angular gyrus, precuneus, and inferior parietal angular gyrus could distinguish MRIn TLE patients from HC.