Source-reconstruction of the sensorimotor network from resting-state macaque electrocorticography

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  • dc.contributor.author Hindriks, Rikkert
  • dc.contributor.author Micheli, C.
  • dc.contributor.author Bosman, Conrado A.
  • dc.contributor.author Oostenveld, R.
  • dc.contributor.author Lewis, C.
  • dc.contributor.author Mantini, Dante
  • dc.contributor.author Fries, Pascal
  • dc.contributor.author Deco, Gustavo
  • dc.date.accessioned 2021-06-04T07:13:31Z
  • dc.date.available 2021-06-04T07:13:31Z
  • dc.date.issued 2018
  • dc.description.abstract The discovery of hemodynamic (BOLD-fMRI) resting-state networks (RSNs) has brought about a fundamental shift in our thinking about the role of intrinsic brain activity. The electrophysiological underpinnings of RSNs remain largely elusive and it has been shown only recently that electric cortical rhythms are organized into the same RSNs as hemodynamic signals. Most electrophysiological studies into RSNs use magnetoencephalography (MEG) or scalp electroencephalography (EEG), which limits the spatial resolution with which electrophysiological RSNs can be observed. Due to their close proximity to the cortical surface, electrocorticographic (ECoG) recordings can potentially provide a more detailed picture of the functional organization of resting-state cortical rhythms, albeit at the expense of spatial coverage. In this study we propose using source-space spatial independent component analysis (spatial ICA) for identifying generators of resting-state cortical rhythms as recorded with ECoG and for reconstructing their functional connectivity. Network structure is assessed by two kinds of connectivity measures: instantaneous correlations between band-limited amplitude envelopes and oscillatory phase-locking. By simulating rhythmic cortical generators, we find that the reconstruction of oscillatory phase-locking is more challenging than that of amplitude correlations, particularly for low signal-to-noise levels. Specifically, phase-lags can both be over- and underestimated, which troubles the interpretation of lag-based connectivity measures. We illustrate the methodology on somatosensory beta rhythms recorded from a macaque monkey using ECoG. The methodology decomposes the resting-state sensorimotor network into three cortical generators, distributed across primary somatosensory and primary and higher-order motor areas. The generators display significant and reproducible amplitude correlations and phase-locking values with non-zero lags. Our findings illustrate the level of spatial detail attainable with source-projected ECoG and motivates wider use of the methodology for studying resting-state as well as event-related cortical dynamics in macaque and human.
  • dc.description.sponsorship RH and GD were funded by the European Research Council (Advanced Grant DYSTRUCTURENo.295129),the Spanish Research Project PSI2013-42091-P, the CONSOLIDER- INGENIO2010 Program CSD2007-00012,and the FP7-ICT Brainscales(269921). DM was funded by the Wellcome Trust (grant 101253/Z/13/Z), KU Leuven Research Office (grant C16/15/070), Research Foundation Flanders (grants G0F76.16N and G0936.16N). PF acknowledges grant support by DFG (SPP 1665, FOR 1847, FR2557/5-1-CORNET, FR 2557/6-1-NeuroTMR), EU (HEALTHF22008200728-BrainSynch, FP7-604102-HBP, FP7-600730-Magnetrodes), a European Young Investigator Award, NIH (1U54MH091657-WU-Minn-Consortium-HCP), and LOEWE (NeFF). The authors declare no competing financial interests.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Hindriks R, Micheli C, Bosman CA, Oostenveld R, Lewis C, Mantini D, Fries P, Deco G. Source-reconstruction of the sensorimotor network from resting-state macaque electrocorticography. Neuroimage. 2018;181:347-58. DOI: 10.1016/j.neuroimage.2018.06.010
  • dc.identifier.doi http://dx.doi.org/10.1016/j.neuroimage.2018.06.010
  • dc.identifier.issn 1053-8119
  • dc.identifier.uri http://hdl.handle.net/10230/47766
  • dc.language.iso eng
  • dc.publisher Elsevier
  • dc.relation.ispartof NeuroImage. 2018;181:347-58
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/295129
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269921
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/604102
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/600730
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/PSI2013-42091-P
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012
  • dc.rights © Elsevier http://dx.doi.org/10.1016/j.neuroimage.2018.06.010
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.title Source-reconstruction of the sensorimotor network from resting-state macaque electrocorticography
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/acceptedVersion

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