Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load.

Journal: eLife
PMID: 35766286

Abstract

Sleep is generally considered to be a state of large-scale synchrony across thalamus and neocortex; however, recent work has challenged this idea by reporting isolated sleep rhythms such as slow oscillations and spindles. What is the spatial scale of sleep rhythms? To answer this question, we adapted deep learning algorithms initially developed for detecting earthquakes and gravitational waves in high-noise settings for analysis of neural recordings in sleep. We then studied sleep spindles in non-human primate electrocorticography (ECoG), human electroencephalogram (EEG), and clinical intracranial electroencephalogram (iEEG) recordings in the human. Within each recording type, we find widespread spindles occur much more frequently than previously reported. We then analyzed the spatiotemporal patterns of these large-scale, multi-area spindles and, in the EEG recordings, how spindle patterns change following a visual memory task. Our results reveal a potential role for widespread, multi-area spindles in consolidation of memories in networks widely distributed across primate cortex.

Authors

  • Maryam H Mofrad
    Department of Mathematics, Western University, London, Canada.
  • Greydon Gilmore
    Brain and Mind Institute, Western University, London, Canada.
  • Dominik Koller
    Advanced Concepts Team, European Space Agency, Noordwijk, Netherlands.
  • Seyed M Mirsattari
    Department of Clinical Neurological Sciences, Medical Biophysics, Medical Imaging and Psychology, Western University, London, ON, Canada; London Health Sciences Centre, University Hospital, B10-110, 339 Windermere Road, London, ON, Canada N6A 5A5. Electronic address: smirsat2@uwo.ca.
  • Jorge G Burneo
    Epilepsy Program, Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
  • David A Steven
    Epilepsy Program, Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
  • Ali R Khan
    Department of Medical Biophysics, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
  • Ana Suller Marti
    Brain and Mind Institute, Western University, London, Canada.
  • Lyle Muller
    Department of Mathematics, Western University, London, Canada.

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