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assetsSummary:
  approach:
  - name: electrophysiological approach
    schemaKey: ApproachType
  dataStandard:
  - identifier: RRID:SCR_015242
    name: Neurodata Without Borders (NWB)
    schemaKey: StandardsType
  measurementTechnique:
  - name: multi electrode extracellular electrophysiology recording technique
    schemaKey: MeasurementTechniqueType
  - name: surgical technique
    schemaKey: MeasurementTechniqueType
  numberOfBytes: 24071283109
  numberOfFiles: 3
  numberOfSubjects: 3
  schemaKey: AssetsSummary
  species:
  - identifier: http://purl.obolibrary.org/obo/NCBITaxon_9606
    name: Homo sapiens - Human
    schemaKey: SpeciesType
  variableMeasured:
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  - ElectrodeGroup
citation: Paulk, Angelique C; Kfir, Yoav; Khanna, Arjun R; Mustroph, Martina L; Trautmann,
  Eric M; Soper, Dan J; Stavisky, Sergey D; Welkenhuysen, Marleen; Dutta, Barundeb;
  Shenoy, Krisha V; Hochberg, Leigh R; Richardson, R. Mark; Williams, Ziv M; Cash,
  Sydney S (2024) Large-scale neural recordings with single neuron resolution using
  Neuropixels probes in human cortex (Version draft) [Data set]. DANDI archive. https://dandiarchive.org/dandiset/000397/draft
contributor:
- affiliation: []
  email: ben.dichter@gmail.com
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  name: Dichter, Benjamin
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- affiliation:
  - identifier: https://ror.org/002pd6e78
    name: Massachusetts General Hospital
    schemaKey: Affiliation
  email: apaulk@mgh.harvard.edu
  identifier: 0000-0002-4413-3417
  includeInCitation: true
  name: Paulk, Angelique C
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    name: Massachusetts General Hospital
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  email: YKFIR@mgh.harvard.edu
  identifier: 0000-0002-9373-8260
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  name: Kfir, Yoav
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  - identifier: https://ror.org/002pd6e78
    name: Massachusetts General Hospital
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  email: AKHANNA@mgh.harvard.edu
  identifier: 0000-0003-0677-5598
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  name: Khanna, Arjun R
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- affiliation:
  - identifier: https://ror.org/04b6nzv94
    name: Brigham and Women's Hospital
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  email: MMUSTROPH@BWH.HARVARD.EDU
  identifier: 0000-0002-4262-5610
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  name: Mustroph, Martina L
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  url: https://orcid.org/0000-0002-4262-5610
- affiliation:
  - identifier: https://ror.org/01esghr10
    name: Columbia University Medical Center
    schemaKey: Affiliation
  email: emt2177@columbia.edu
  identifier: 0000-0001-5552-2023
  includeInCitation: true
  name: Trautmann, Eric M
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  - identifier: https://ror.org/002pd6e78
    name: Massachusetts General Hospital
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  email: DJSOPER@mgh.harvard.edu
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  name: Soper, Dan J
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- affiliation:
  - identifier: https://ror.org/05rrcem69
    name: University of California, Davis
    schemaKey: Affiliation
  email: sstavisky@ucdavis.edu
  identifier: 0000-0002-5238-0573
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  name: Stavisky, Sergey D
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  email: Marleen.Welkenhuysen@imec.be
  identifier: 0000-0001-6729-9391
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  name: Welkenhuysen, Marleen
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  email: dutta@imec.be
  identifier: 0000-0003-4781-9630
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  name: Dutta, Barundeb
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- affiliation:
  - identifier: https://ror.org/00f54p054
    name: Stanford University
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  email: shenoy@stanford.edu
  identifier: 0000-0003-1534-9240
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  name: Shenoy, Krisha V
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  - identifier: https://ror.org/002pd6e78
    name: Massachusetts General Hospital
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  email: lhochberg@mgh.harvard.edu
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  includeInCitation: true
  name: Hochberg, Leigh R
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  - identifier: https://ror.org/002pd6e78
    name: Massachusetts General Hospital
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  email: mark.richardson@mgh.harvard.edu
  identifier: 0000-0003-2620-7387
  includeInCitation: true
  name: Richardson, R. Mark
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    name: Massachusetts General Hospital
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  email: ZWILLIAMS@mgh.harvard.edu
  identifier: 0000-0002-0017-0048
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  name: Williams, Ziv M
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    name: Massachusetts General Hospital
    schemaKey: Affiliation
  email: SCASH@mgh.harvard.edu
  identifier: 0000-0002-4557-6391
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  name: Cash, Sydney S
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dateCreated: '2022-11-29T20:11:25.048041+00:00'
description: 'Recent advances in multi-electrode array technology have made it possible
  to monitor large neuronal ensembles at cellular resolution in animal models. In
  humans, however, current approaches restrict recordings to few neurons per penetrating
  electrode or combine the signals of thousands of neurons in local field potential
  (LFP) recordings. Here, we describe a new probe variant and set of techniques which
  enable simultaneous recording from over 200 well-isolated cortical single units
  in human participants during intraoperative neurosurgical procedures using silicon
  Neuropixels probes. We characterized a diversity of extracellular waveforms with
  eight separable single unit classes, with differing firing rates, locations along
  the length of the electrode array, waveform spatial spread, and modulation by LFP
  events such as inter-ictal discharges and burst suppression. While some challenges
  remain in creating a turn-key recording system, high-density silicon arrays provide
  a path for studying human-specific cognitive processes and their dysfunction at
  unprecedented spatiotemporal resolution. '
ethicsApproval: []
id: DANDI:000397/draft
identifier: DANDI:000397
keywords: []
license:
- spdx:CC0-1.0
manifestLocation:
- https://api.dandiarchive.org/api/dandisets/000397/versions/draft/assets/
name: Large-scale neural recordings with single neuron resolution using Neuropixels
  probes in human cortex
protocol: []
relatedResource:
- identifier: https://doi.org/10.1038/s41593-021-00997-0
  name: Large-scale neural recordings with single neuron resolution using Neuropixels
    probes in human cortex
  relation: dcite:IsDescribedBy
  repository: Nature Neuroscience
  resourceType: dcite:JournalArticle
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  url: https://www.nature.com/articles/s41593-021-00997-0
- identifier: https://doi.org/10.5061/dryad.d2547d840
  name: Large-scale neural recordings with single neuron resolution using Neuropixels
    probes in human cortex
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  repository: Dryad
  schemaKey: Resource
  url: https://datadryad.org/stash/dataset/doi:10.5061/dryad.d2547d840
repository: https://dandiarchive.org
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schemaVersion: 0.6.3
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url: https://dandiarchive.org/dandiset/000397/draft
version: draft
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