PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application.

Journal: Journal of neural engineering
PMID: 38722308

Abstract

. This study aims to develop and validate an end-to-end software platform, PyHFO, that streamlines the application of deep learning (DL) methodologies in detecting neurophysiological biomarkers for epileptogenic zones from EEG recordings.. We introduced PyHFO, which enables time-efficient high-frequency oscillation (HFO) detection algorithms like short-term energy and Montreal Neurological Institute and Hospital detectors. It incorporates DL models for artifact and HFO with spike classification, designed to operate efficiently on standard computer hardware.. The validation of PyHFO was conducted on three separate datasets: the first comprised solely of grid/strip electrodes, the second a combination of grid/strip and depth electrodes, and the third derived from rodent studies, which sampled the neocortex and hippocampus using depth electrodes. PyHFO demonstrated an ability to handle datasets efficiently, with optimization techniques enabling it to achieve speeds up to 50 times faster than traditional HFO detection applications. Users have the flexibility to employ our pre-trained DL model or use their EEG data for custom model training.. PyHFO successfully bridges the computational challenge faced in applying DL techniques to EEG data analysis in epilepsy studies, presenting a feasible solution for both clinical and research settings. By offering a user-friendly and computationally efficient platform, PyHFO paves the way for broader adoption of advanced EEG data analysis tools in clinical practice and fosters potential for large-scale research collaborations.

Authors

  • Yipeng Zhang
    Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, United States of America.
  • Lawrence Liu
    California Protons Cancer Therapy Center, San Diego, California, USA.
  • Yuanyi Ding
    Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, United States of America.
  • Xin Chen
    University of Nottingham, Nottingham, United Kingdom.
  • Tonmoy Monsoor
    Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, United States of America.
  • Atsuro Daida
    Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA.
  • Shingo Oana
    Division of Pediatric Neurology, Department of Pediatrics, UCLA Mattel Children's Hospital, David Geffen School of Medicine, Los Angeles, CA, USA.
  • Shaun 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.
  • 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.
  • Aria Fallah
    Department of Neurosurgery, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA, United States of America.
  • Cesar Santana-Gomez
    Department of Neurology, UCLA Medical Center, David Geffen School of Medicine, Los Angeles, CA 90095, United States of America.
  • 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.
  • Richard J Staba
    Department of Neurology, 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.
  • Jianguo Zhang
    College of Automation, Harbin Engineering University, No. 145, Nantong street, Harbin, China.
  • 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.
  • Vwani Roychowdhury
    Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095; kailath@stanford.edu vwani@ucla.edu.

Keywords

External Resources

Popular Topics
Recent Journals