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Article: A time-varying source connectivity approach to reveal human somatosensory information processing

TitleA time-varying source connectivity approach to reveal human somatosensory information processing
Authors
KeywordsDipolar source analysis
Granger causality
Kalman smoother
Somatosensory evoked potentials (SEPs)
Time-varying effective connectivity
Issue Date2012
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg
Citation
Neuroimage, 2012, v. 62 n. 1, p. 217-228 How to Cite?
AbstractExploration of neural sources and their effective connectivity based on transient changes in electrophysiological activities to external stimuli is important for understanding brain mechanisms of sensory information processing. However, such cortical mechanisms have not yet been well characterized in electrophysiological studies since (1) it is difficult to estimate the stimulus-activated neural sources and their activities and (2) it is difficult to identify transient effective connectivity between neural sources in the order of milliseconds. To address these issues, we developed a time-varying source connectivity approach to effectively capture fast-changing information flows between neural sources from high-density Electroencephalography (EEG) recordings. This time-varying source connectivity approach was applied to somatosensory evoked potentials (SEPs), which were elicited by electrical stimulation of right hand and recorded using 64 channels from 16 subjects, to reveal human somatosensory information processing. First, SEP sources and their activities were estimated, both at single-subject and group level, using equivalent current dipolar source modeling. Then, the functional integration among SEP sources was explored using a Kalman smoother based time-varying effective connectivity inference method. The results showed that SEPs were mainly generated from the contralateral primary somatosensory cortex (SI), bilateral secondary somatosensory cortex (SII), and cingulate cortex (CC). Importantly, we observed a serial processing of somatosensory information in human somatosensory cortices (from SI to SII) at earlier latencies (< 150. ms) and a reciprocal processing between SII and CC at later latencies (> 200. ms). © 2012 Elsevier Inc.
Persistent Identifierhttp://hdl.handle.net/10722/155763
ISSN
2015 Impact Factor: 5.463
2015 SCImago Journal Rankings: 4.464
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong SAR Research Grants CouncilHKU762111M
Research Grants Council of Hong Kong SAR, ChinaGRF HKU 767511M
GRF 712408E
Fundamental Research Funds for the Central UniversitiesSWU1109010
Doctoral Foundation of Southwest UniversitySWU111079
Funding Information:

ZGZ is partially supported by the Hong Kong SAR Research Grants Council (HKU762111M). YH is partially supported by research grants from the Research Grants Council of Hong Kong SAR, China (GRF HKU 767511M, and GRF 712408E). LH is supported by the Fundamental Research Funds for the Central Universities (SWU1109010) and Doctoral Foundation of Southwest University (SWU111079). All authors have no conflict of interest.

References

 

DC FieldValueLanguage
dc.contributor.authorHu, Len_HK
dc.contributor.authorZhang, ZGen_HK
dc.contributor.authorHu, Yen_HK
dc.date.accessioned2012-08-08T08:35:13Z-
dc.date.available2012-08-08T08:35:13Z-
dc.date.issued2012en_HK
dc.identifier.citationNeuroimage, 2012, v. 62 n. 1, p. 217-228en_HK
dc.identifier.issn1053-8119en_HK
dc.identifier.urihttp://hdl.handle.net/10722/155763-
dc.description.abstractExploration of neural sources and their effective connectivity based on transient changes in electrophysiological activities to external stimuli is important for understanding brain mechanisms of sensory information processing. However, such cortical mechanisms have not yet been well characterized in electrophysiological studies since (1) it is difficult to estimate the stimulus-activated neural sources and their activities and (2) it is difficult to identify transient effective connectivity between neural sources in the order of milliseconds. To address these issues, we developed a time-varying source connectivity approach to effectively capture fast-changing information flows between neural sources from high-density Electroencephalography (EEG) recordings. This time-varying source connectivity approach was applied to somatosensory evoked potentials (SEPs), which were elicited by electrical stimulation of right hand and recorded using 64 channels from 16 subjects, to reveal human somatosensory information processing. First, SEP sources and their activities were estimated, both at single-subject and group level, using equivalent current dipolar source modeling. Then, the functional integration among SEP sources was explored using a Kalman smoother based time-varying effective connectivity inference method. The results showed that SEPs were mainly generated from the contralateral primary somatosensory cortex (SI), bilateral secondary somatosensory cortex (SII), and cingulate cortex (CC). Importantly, we observed a serial processing of somatosensory information in human somatosensory cortices (from SI to SII) at earlier latencies (< 150. ms) and a reciprocal processing between SII and CC at later latencies (> 200. ms). © 2012 Elsevier Inc.en_HK
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimgen_HK
dc.relation.ispartofNeuroImageen_HK
dc.subjectDipolar source analysisen_HK
dc.subjectGranger causalityen_HK
dc.subjectKalman smootheren_HK
dc.subjectSomatosensory evoked potentials (SEPs)en_HK
dc.subjectTime-varying effective connectivityen_HK
dc.titleA time-varying source connectivity approach to reveal human somatosensory information processingen_HK
dc.typeArticleen_HK
dc.identifier.emailZhang, ZG:zgzhang@eee.hku.hken_HK
dc.identifier.emailHu, Y:yhud@hku.hken_HK
dc.identifier.authorityZhang, ZG=rp01565en_HK
dc.identifier.authorityHu, Y=rp00432en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.neuroimage.2012.03.094en_HK
dc.identifier.pmid22580382-
dc.identifier.scopuseid_2-s2.0-84861633502en_HK
dc.identifier.hkuros220316-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84861633502&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume62en_HK
dc.identifier.issue1en_HK
dc.identifier.spage217en_HK
dc.identifier.epage228en_HK
dc.identifier.eissn1095-9572-
dc.identifier.isiWOS:000305859300024-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridHu, L=55233630500en_HK
dc.identifier.scopusauthoridZhang, ZG=8597618700en_HK
dc.identifier.scopusauthoridHu, Y=7407116091en_HK
dc.identifier.citeulike10732756-

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