Detecting fast-ripples on both micro- and macro-electrodes in epilepsy: A wavelet-based CNN detector.

Journal: Journal of neuroscience methods
PMID: 39675676

Abstract

BACKGROUND: Fast-ripples (FR) are short (∼10 ms) high-frequency oscillations (HFO) between 200 and 600 Hz that are helpful in epilepsy to identify the epileptogenic zone. Our aim is to propose a new method to detect FR that had to be efficient for intracerebral EEG (iEEG) recorded from both usual clinical macro-contacts (millimeter scale) and microwires (micrometer scale).

Authors

  • Ludovic Gardy
    Centre de Recherche Cerveau et Cognition (CerCo, CNRS UMR5549), Toulouse 31300, France; Université Paul Sabatier, Toulouse 31300, France; Ecole Nationale de l'Aviation Civile, (ENAC), Toulouse 31300, France.
  • Jonathan Curot
    Centre de Recherche Cerveau et Cognition (CerCo, CNRS UMR5549), Toulouse 31300, France; Département de Neurologie, Hôpital Pierre Paul Riquet, Purpan, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Toulouse 31300, France.
  • Luc Valton
    Centre de Recherche Cerveau et Cognition (CerCo, CNRS UMR5549), Toulouse 31300, France; Département de Neurologie, Hôpital Pierre Paul Riquet, Purpan, Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Toulouse 31300, France.
  • Louis Berthier
    IMT Mines Ales, University of Montpellier, Ales 30100, France.
  • Emmanuel J Barbeau
    Centre de Recherche Cerveau et Cognition (CerCo, CNRS UMR5549), Toulouse 31300, France; Université Paul Sabatier, Toulouse 31300, France. Electronic address: emmanuel.barbeau@cnrs.fr.
  • Christophe Hurter
    Ecole Nationale de l'Aviation Civile, (ENAC), Toulouse 31300, France. Electronic address: christophe.hurter@enac.fr.

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