Dataset Information

Microscale Physiological Events on the Human Cortical Surface.

ABSTRACT: 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.

SUBMITTER: Paulk AC

PROVIDER: S-EPMC8258438 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Microscale Physiological Events on the Human Cortical Surface.

Paulk Angelique C AC Yang Jimmy C JC Cleary Daniel R DR Soper Daniel J DJ Halgren Milan M O'Donnell Alexandra R AR Lee Sang Heon SH Ganji Mehran M Ro Yun Goo YG Oh Hongseok H Hossain Lorraine L Lee Jihwan J Tchoe Youngbin Y Rogers Nicholas N Kiliç Kivilcim K Ryu Sang Baek SB Lee Seung Woo SW Hermiz John J Gilja Vikash V Ulbert István I Fabó Daniel D Thesen Thomas T Doyle Werner K WK Devinsky Orrin O Madsen Joseph R JR Schomer Donald L DL Eskandar Emad N EN Lee Jong Woo JW Maus Douglas D Devor Anna A Fried Shelley I SI Jones Pamela S PS Nahed Brian V BV Ben-Haim Sharona S Bick Sarah K SK Richardson Robert Mark RM Raslan Ahmed M AM Siler Dominic A DA Cahill Daniel P DP Williams Ziv M ZM Cosgrove G Rees GR Dayeh Shadi A SA Cash Sydney S SS

Cerebral cortex (New York, N.Y. : 1991) 20210701 8

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 ...[more]

PMID: 33749727

Similar Datasets

Project description:Microbial processes operate at the microscale, which is not resolved by existing ecosystem models. Here, we present a novel model that simulates a 1 mL three-dimensional cube using a hybrid Lagrangian-Eulerian approach, at ecologically relevant timescales. The model simulates individual microbes, including three phytoplankton size classes with healthy, senescent, and dead lifecycle stages; copiotrophic and oligotrophic heterotrophic bacteria; and dissolved organic matter at 50 µm resolution. Diffusion, shear, sedimentation, chemotaxis, and attachment processes are explicitly resolved. The emerging quantitative representation of the ecosystem shows that (1) copiotrophs grow mostly attached to eukaryotic phytoplankters and get almost all of their carbon from them vs. oligotrophs that grow on exudates and lysates of cyanobacteria; (2) contrasting diel patterns in substrate appearance in the phycosphere vs. ambient water and growth of particle-associated copiotrophs vs. free-living oligotrophs; (3) attached bacteria reduce carbon flux from the phycosphere, lowering chemotactic efficiency toward eukaryotes below that toward cyanobacteria; (4) shear reduces chemotactic efficiency and fitness of the copiotroph; and (5) the main benefit of chemotaxis is to locate attachment partners. These patterns are consistent with available observations. Our study provides insights into the microscale ecology of marine bacteria, and the open-source code is a tool for further research in this area.IMPORTANCEA large amount of global CO2 fixation is performed by marine phytoplankton, and a substantial fraction of that is released as dissolved organic carbon and further processed by heterotrophic bacteria. The interaction between phytoplankton and bacteria, i.e., the carbon flux between them, is therefore an important process in the global carbon and climate system. Some bacteria have developed specialized behavioral traits, like swimming and attachment, to increase their carbon acquisition. These interactions occur at the micrometer scale, for example, the immediate vicinity of phytoplankters (the phycosphere), but existing biogeochemical models typically only simulate down to the 1 meter vertical or ~100 kilometer horizontal scale. We present a new microscale model and use it to predict fluxes and other features in the surface ocean. The model makes important predictions about the fluxes between various types of phytoplankton and bacteria and the role of behavioral traits, and it provides a basis and tool for further research in this area.

Dataset Information

Microscale Physiological Events on the Human Cortical Surface.

Publications

Microscale Physiological Events on the Human Cortical Surface.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets