Characterizing physiological high-frequency oscillations using deep learning.

Journal: Journal of neural engineering
Published Date: Dec 7, 2022

Abstract

Intracranially-recorded interictal high-frequency oscillations (HFOs) have been proposed as a promising spatial biomarker of the epileptogenic zone. However, HFOs can also be recorded in the healthy brain regions, which complicates the interpretation of HFOs. The present study aimed to characterize salient features of physiological HFOs using deep learning (DL).We studied children with neocortical epilepsy who underwent intracranial strip/grid evaluation. Time-series EEG data were transformed into DL training inputs. The eloquent cortex (EC) was defined by functional cortical mapping and used as a DL label. Morphological characteristics of HFOs obtained from EC (ecHFOs) were distilled and interpreted through a novel weakly supervised DL model.A total of 63 379 interictal intracranially-recorded HFOs from 18 children were analyzed. The ecHFOs had lower amplitude throughout the 80-500 Hz frequency band around the HFO onset and also had a lower signal amplitude in the low frequency band throughout a one-second time window than non-ecHFOs, resembling a bell-shaped template in the time-frequency map. A minority of ecHFOs were HFOs with spikes (22.9%). Such morphological characteristics were confirmed to influence DL model prediction via perturbation analyses. Using the resection ratio (removed HFOs/detected HFOs) of non-ecHFOs, the prediction of postoperative seizure outcomes improved compared to using uncorrected HFOs (area under the ROC curve of 0.82, increased from 0.76).We characterized salient features of physiological HFOs using a DL algorithm. Our results suggested that this DL-based HFO classification, once trained, might help separate physiological from pathological HFOs, and efficiently guide surgical resection using HFOs.

Authors

  • Yipeng Zhang
    Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, United States of America.
  • Hoyoung Chung
    Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, United States of America.
  • Jacquline P Ngo
    Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, United States of America.
  • Tonmoy Monsoor
    Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, United States of America.
  • Shaun A Hussain
    Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, United States of America.
  • Joyce H Matsumoto
    Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, United States of America.
  • Patricia D Walshaw
    Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, Los Angeles, CA, United States of America.
  • Aria Fallah
    Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, United States of America.
  • Myung Shin Sim
    Department of Medicine, Statistics Core, University of California, Los Angeles, CA, United States of America.
  • Eishi Asano
  • Raman Sankar
    Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, United States of America.
  • Richard J Staba
    Department of Neurology, David Geffen School of Medicine and at UCLA, Los Angeles, CA 90095, United States.
  • Jerome Engel
    Department of Neurology, David Geffen School of Medicine and at UCLA, Los Angeles, CA 90095, United States; Department of Neurosurgery, David Geffen School of Medicine and at UCLA, Los Angeles, CA 90095, United States; Department of Neurobiology, David Geffen School of Medicine and at UCLA, Los Angeles, CA 90095, United States; Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine and at UCLA, Los Angeles, CA 90095, United States.
  • William Speier
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
  • Vwani Roychowdhury
    Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095; kailath@stanford.edu vwani@ucla.edu.
  • Hiroki Nariai
    Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, United States of America.

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