Microscale physiological events on the human cortical surface

Author:

Paulk Angelique C.ORCID,Yang Jimmy C.,Cleary Daniel R.,Soper Daniel J.,Halgren Milan,O’Donnell Alexandra R.,Lee Sang Heon,Ganji Mehran,Ro Yun Goo,Oh Hongseok,Hossain Lorraine,Lee Jihwan,Tchoe Youngbin,Rogers Nicholas,Kiliç Kivilcim,Ryu Sang Baek,Lee Seung Woo,Hermiz John,Gilja Vikash,Ulbert István,Fabó Daniel,Devinsky Orrin,Madsen Joseph R.,Schomer Donald L.,Eskandar Emad N.,Lee Jong Woo,Maus Douglas,Devor Anna,Fried Shelley I.,Jones Pamela S.,Nahed Brian V.,Ben-Haim Sharona,Bick Sarah K.,Richardson Robert Mark,Raslan Ahmed M. T.,Siler Dominic A.,Cahill Daniel P.,Williams Ziv M.,Cosgrove G. Rees,Dayeh Shadi A.,Cash Sydney S.

Abstract

AbstractDespite ongoing advancements in our understanding of the local single-cellular and network-level activity of neuronal populations in the human brain, extraordinarily little is known about their ‘intermediate’ microscale local circuit dynamics. Here, we utilized ultrahigh density microelectrode arrays and a rare opportunity to perform intracranial recordings across multiple cortical areas in human participants to discover three distinct classes of cortical activity that are not locked to ongoing natural brain rhythmic activity. The first included fast waveforms similar to extracellular single unit activity. The other two types were discrete events with slower waveform dynamics and were found preferentially in upper layers of the grey matter. They were also observed in rodents, non-human primates, and semi-chronic recordings in humans via laminar and Utah array microelectrodes. The rates of all three events were selectively modulated by auditory and electrical stimuli, pharmacological manipulation, and cold saline application and had small causal co-occurrences. These results suggest that with the proper combination of high resolution microelectrodes and analytic techniques it is possible to capture neuronal dynamics that lay between somatic action potentials and aggregate population activity and that understanding these intermediate microscale dynamics may reveal important details of the full circuit behavior in human cognition.

Publisher

Cold Spring Harbor Laboratory

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