Classifying epileptic phase-amplitude coupling in seeg using complex-valued convolutional neural network

HIGHLIGHTS

  • who: SEEG and colleagues from the Northeastern University, China have published the Article: Classifying epileptic phase-amplitude coupling in SEEG using complex-valued convolutional neural network, in the Journal: (JOURNAL)
  • what: The authors propose a novel approach for identifying pathological PAC in SEEG from patients with epilepsy. The authors infer that it is the main reason why the traditional PAC or MI can help the authors discriminate pathological brain tissues. This study provides a new approach for localizing epileptogenic brain tissues.
  • how: The result showed that the area-under-curve (AUC) value reached . . .

     

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