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Microscale Physiological Events on the Human Cortical Surface.

Angelique C PaulkJimmy C YangDaniel R ClearyDaniel J SoperMilan HalgrenAlexandra R O'DonnellSang Heon LeeMehran GanjiYun Goo RoHongseok OhLorraine HossainJihwan LeeYoungbin TchoeNicholas RogersKivilcim KiliçSang Baek RyuSeung Woo LeeJohn HermizVikash GiljaIstván UlbertDaniel FabóThomas ThesenWerner K DoyleOrrin DevinskyJoseph R MadsenDonald L SchomerEmad N EskandarJong Woo LeeDouglas MausAnna DevorShelley I FriedPamela S JonesBrian V NahedSharona Ben-HaimSarah K BickRobert Mark RichardsonAhmed M RaslanDominic A SilerDaniel P CahillZiv M WilliamsG Rees CosgroveShadi A DayehSydney S Cash
Published in: Cerebral cortex (New York, N.Y. : 1991) (2022)
Despite ongoing advances in our understanding of 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 ultra-high-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 cortical layers. These second and third types were also observed in rodents, nonhuman primates, and semi-chronic recordings from 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 the proper combination of high-resolution microelectrodes and analytic techniques can capture neuronal dynamics that lay between somatic action potentials and aggregate population activity. Understanding intermediate microscale dynamics in relation to single-cell and network dynamics may reveal important details about activity in the full cortical circuit.
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