Reorganization of brain functional small-world networks during finger movements
A functional measure of brain organization is the efficiency of functional connectivity. The degree of functional connectivity can differ during a task compared to the rest, and to study this issue, we investigated the functional connectivity networks in healthy subjects during a simple, right‐hande...
Gespeichert in:
Veröffentlicht in: | Human brain mapping 2012-04, Vol.33 (4), p.861-872 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 872 |
---|---|
container_issue | 4 |
container_start_page | 861 |
container_title | Human brain mapping |
container_volume | 33 |
creator | Jin, Seung-Hyun Lin, Peter Hallett, Mark |
description | A functional measure of brain organization is the efficiency of functional connectivity. The degree of functional connectivity can differ during a task compared to the rest, and to study this issue, we investigated the functional connectivity networks in healthy subjects during a simple, right‐handed, sequential finger‐tapping task using graph theoretic measures. EEGs were recorded from 58 channels in 15 healthy subjects at rest and during a motor task. We estimated mutual information values of wavelet coefficients to create an association matrix between EEG electrodes and produced a series of adjacency matrices or graphs, A, by thresholding with network cost. These graphs are called small‐world networks, and we assessed their efficiency measures. We found economical small‐world properties in brain functional connectivity networks in the alpha and beta band networks. The efficiency of the brain networks was enhanced during the task in the beta band networks, but not in the alpha band networks. A regional efficiency analysis during the task showed that the bilateral primary motor and left sensory areas showed increased nodal efficiency, Enodal, whereas decreased Enodal was found over the posterior parietal areas. The present study provides evidence for the reorganization of brain functional connectivity networks in a motor task with the greatest increase in Enodal in motor executive areas. Hum Brain Mapp, 2012. © 2011 Wiley Periodicals, Inc. |
doi_str_mv | 10.1002/hbm.21253 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6870111</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>927988364</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5103-fe5a49e88d382d5e9832612a453a72709fd417a8688e8940fd5144910c64b203</originalsourceid><addsrcrecordid>eNp1kV1rFDEUhgdRbK1e-AdkQIp4MW1OPibJjVCL7QrVghQFb0J2JtmmzSQ1mWltf32z7nb9AG-SQ_Kc9z2ct6peAtoDhPD--XzYw4AZeVRtA5K8QSDJ42XdskZSDlvVs5wvEAJgCJ5WWxiooJKx7er0i4lpoYO706OLoY62niftQm2n0C1ftK_zoL1vbmLyfR3MWIrLXPdTcmFR23KYVA_x2gwmjPl59cRqn82L9b1TnR19ODucNSenxx8PD06ajgEijTVMU2mE6InAPTNSENwC1pQRzTFH0vYUuBatEEZIimzPgFIJqGvpHCOyU71byV5N88H0XbFO2qur5AadblXUTv39E9y5WsRr1QpetgBF4M1aIMUfk8mjGlzujPc6mDhlJTGXQpCWFvL1P-RFnFLZS1bAgBPGJMOFeruiuhRzTsZuZgGkliGpEpL6FVJhX_05_IZ8SKUAu2tA5057m3ToXP7NsZYIDktuf8XdOG9u_--oZu8_PVg3qw6XR_Nz06HTpWo54Ux9-3ys-NcZHH2XrcLkHiPht1w</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1517355952</pqid></control><display><type>article</type><title>Reorganization of brain functional small-world networks during finger movements</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><creator>Jin, Seung-Hyun ; Lin, Peter ; Hallett, Mark</creator><creatorcontrib>Jin, Seung-Hyun ; Lin, Peter ; Hallett, Mark</creatorcontrib><description>A functional measure of brain organization is the efficiency of functional connectivity. The degree of functional connectivity can differ during a task compared to the rest, and to study this issue, we investigated the functional connectivity networks in healthy subjects during a simple, right‐handed, sequential finger‐tapping task using graph theoretic measures. EEGs were recorded from 58 channels in 15 healthy subjects at rest and during a motor task. We estimated mutual information values of wavelet coefficients to create an association matrix between EEG electrodes and produced a series of adjacency matrices or graphs, A, by thresholding with network cost. These graphs are called small‐world networks, and we assessed their efficiency measures. We found economical small‐world properties in brain functional connectivity networks in the alpha and beta band networks. The efficiency of the brain networks was enhanced during the task in the beta band networks, but not in the alpha band networks. A regional efficiency analysis during the task showed that the bilateral primary motor and left sensory areas showed increased nodal efficiency, Enodal, whereas decreased Enodal was found over the posterior parietal areas. The present study provides evidence for the reorganization of brain functional connectivity networks in a motor task with the greatest increase in Enodal in motor executive areas. Hum Brain Mapp, 2012. © 2011 Wiley Periodicals, Inc.</description><identifier>ISSN: 1065-9471</identifier><identifier>EISSN: 1097-0193</identifier><identifier>DOI: 10.1002/hbm.21253</identifier><identifier>PMID: 21484955</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Biological and medical sciences ; Brain - physiology ; Brain Mapping ; economical reorganization ; EEG ; Electrodiagnosis. Electric activity recording ; Electroencephalography ; Female ; Fingers - innervation ; functional small-world networks ; Humans ; Investigative techniques, diagnostic techniques (general aspects) ; Male ; Medical sciences ; Middle Aged ; Movement - physiology ; Nerve Net - physiology ; Nervous system ; Radiodiagnosis. Nmr imagery. Nmr spectrometry ; Signal Processing, Computer-Assisted ; simple sequential finger-tapping task</subject><ispartof>Human brain mapping, 2012-04, Vol.33 (4), p.861-872</ispartof><rights>Copyright © 2011 Wiley Periodicals, Inc.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5103-fe5a49e88d382d5e9832612a453a72709fd417a8688e8940fd5144910c64b203</citedby><cites>FETCH-LOGICAL-c5103-fe5a49e88d382d5e9832612a453a72709fd417a8688e8940fd5144910c64b203</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6870111/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6870111/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,725,778,782,883,1414,27907,27908,45557,45558,53774,53776</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25638715$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21484955$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jin, Seung-Hyun</creatorcontrib><creatorcontrib>Lin, Peter</creatorcontrib><creatorcontrib>Hallett, Mark</creatorcontrib><title>Reorganization of brain functional small-world networks during finger movements</title><title>Human brain mapping</title><addtitle>Hum. Brain Mapp</addtitle><description>A functional measure of brain organization is the efficiency of functional connectivity. The degree of functional connectivity can differ during a task compared to the rest, and to study this issue, we investigated the functional connectivity networks in healthy subjects during a simple, right‐handed, sequential finger‐tapping task using graph theoretic measures. EEGs were recorded from 58 channels in 15 healthy subjects at rest and during a motor task. We estimated mutual information values of wavelet coefficients to create an association matrix between EEG electrodes and produced a series of adjacency matrices or graphs, A, by thresholding with network cost. These graphs are called small‐world networks, and we assessed their efficiency measures. We found economical small‐world properties in brain functional connectivity networks in the alpha and beta band networks. The efficiency of the brain networks was enhanced during the task in the beta band networks, but not in the alpha band networks. A regional efficiency analysis during the task showed that the bilateral primary motor and left sensory areas showed increased nodal efficiency, Enodal, whereas decreased Enodal was found over the posterior parietal areas. The present study provides evidence for the reorganization of brain functional connectivity networks in a motor task with the greatest increase in Enodal in motor executive areas. Hum Brain Mapp, 2012. © 2011 Wiley Periodicals, Inc.</description><subject>Biological and medical sciences</subject><subject>Brain - physiology</subject><subject>Brain Mapping</subject><subject>economical reorganization</subject><subject>EEG</subject><subject>Electrodiagnosis. Electric activity recording</subject><subject>Electroencephalography</subject><subject>Female</subject><subject>Fingers - innervation</subject><subject>functional small-world networks</subject><subject>Humans</subject><subject>Investigative techniques, diagnostic techniques (general aspects)</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Movement - physiology</subject><subject>Nerve Net - physiology</subject><subject>Nervous system</subject><subject>Radiodiagnosis. Nmr imagery. Nmr spectrometry</subject><subject>Signal Processing, Computer-Assisted</subject><subject>simple sequential finger-tapping task</subject><issn>1065-9471</issn><issn>1097-0193</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kV1rFDEUhgdRbK1e-AdkQIp4MW1OPibJjVCL7QrVghQFb0J2JtmmzSQ1mWltf32z7nb9AG-SQ_Kc9z2ct6peAtoDhPD--XzYw4AZeVRtA5K8QSDJ42XdskZSDlvVs5wvEAJgCJ5WWxiooJKx7er0i4lpoYO706OLoY62niftQm2n0C1ftK_zoL1vbmLyfR3MWIrLXPdTcmFR23KYVA_x2gwmjPl59cRqn82L9b1TnR19ODucNSenxx8PD06ajgEijTVMU2mE6InAPTNSENwC1pQRzTFH0vYUuBatEEZIimzPgFIJqGvpHCOyU71byV5N88H0XbFO2qur5AadblXUTv39E9y5WsRr1QpetgBF4M1aIMUfk8mjGlzujPc6mDhlJTGXQpCWFvL1P-RFnFLZS1bAgBPGJMOFeruiuhRzTsZuZgGkliGpEpL6FVJhX_05_IZ8SKUAu2tA5057m3ToXP7NsZYIDktuf8XdOG9u_--oZu8_PVg3qw6XR_Nz06HTpWo54Ux9-3ys-NcZHH2XrcLkHiPht1w</recordid><startdate>201204</startdate><enddate>201204</enddate><creator>Jin, Seung-Hyun</creator><creator>Lin, Peter</creator><creator>Hallett, Mark</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><general>Wiley-Liss</general><general>John Wiley & Sons, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QR</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201204</creationdate><title>Reorganization of brain functional small-world networks during finger movements</title><author>Jin, Seung-Hyun ; Lin, Peter ; Hallett, Mark</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5103-fe5a49e88d382d5e9832612a453a72709fd417a8688e8940fd5144910c64b203</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Biological and medical sciences</topic><topic>Brain - physiology</topic><topic>Brain Mapping</topic><topic>economical reorganization</topic><topic>EEG</topic><topic>Electrodiagnosis. Electric activity recording</topic><topic>Electroencephalography</topic><topic>Female</topic><topic>Fingers - innervation</topic><topic>functional small-world networks</topic><topic>Humans</topic><topic>Investigative techniques, diagnostic techniques (general aspects)</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Movement - physiology</topic><topic>Nerve Net - physiology</topic><topic>Nervous system</topic><topic>Radiodiagnosis. Nmr imagery. Nmr spectrometry</topic><topic>Signal Processing, Computer-Assisted</topic><topic>simple sequential finger-tapping task</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jin, Seung-Hyun</creatorcontrib><creatorcontrib>Lin, Peter</creatorcontrib><creatorcontrib>Hallett, Mark</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human brain mapping</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jin, Seung-Hyun</au><au>Lin, Peter</au><au>Hallett, Mark</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reorganization of brain functional small-world networks during finger movements</atitle><jtitle>Human brain mapping</jtitle><addtitle>Hum. Brain Mapp</addtitle><date>2012-04</date><risdate>2012</risdate><volume>33</volume><issue>4</issue><spage>861</spage><epage>872</epage><pages>861-872</pages><issn>1065-9471</issn><eissn>1097-0193</eissn><abstract>A functional measure of brain organization is the efficiency of functional connectivity. The degree of functional connectivity can differ during a task compared to the rest, and to study this issue, we investigated the functional connectivity networks in healthy subjects during a simple, right‐handed, sequential finger‐tapping task using graph theoretic measures. EEGs were recorded from 58 channels in 15 healthy subjects at rest and during a motor task. We estimated mutual information values of wavelet coefficients to create an association matrix between EEG electrodes and produced a series of adjacency matrices or graphs, A, by thresholding with network cost. These graphs are called small‐world networks, and we assessed their efficiency measures. We found economical small‐world properties in brain functional connectivity networks in the alpha and beta band networks. The efficiency of the brain networks was enhanced during the task in the beta band networks, but not in the alpha band networks. A regional efficiency analysis during the task showed that the bilateral primary motor and left sensory areas showed increased nodal efficiency, Enodal, whereas decreased Enodal was found over the posterior parietal areas. The present study provides evidence for the reorganization of brain functional connectivity networks in a motor task with the greatest increase in Enodal in motor executive areas. Hum Brain Mapp, 2012. © 2011 Wiley Periodicals, Inc.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>21484955</pmid><doi>10.1002/hbm.21253</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1065-9471 |
ispartof | Human brain mapping, 2012-04, Vol.33 (4), p.861-872 |
issn | 1065-9471 1097-0193 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6870111 |
source | MEDLINE; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
subjects | Biological and medical sciences Brain - physiology Brain Mapping economical reorganization EEG Electrodiagnosis. Electric activity recording Electroencephalography Female Fingers - innervation functional small-world networks Humans Investigative techniques, diagnostic techniques (general aspects) Male Medical sciences Middle Aged Movement - physiology Nerve Net - physiology Nervous system Radiodiagnosis. Nmr imagery. Nmr spectrometry Signal Processing, Computer-Assisted simple sequential finger-tapping task |
title | Reorganization of brain functional small-world networks during finger movements |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T11%3A40%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Reorganization%20of%20brain%20functional%20small-world%20networks%20during%20finger%20movements&rft.jtitle=Human%20brain%20mapping&rft.au=Jin,%20Seung-Hyun&rft.date=2012-04&rft.volume=33&rft.issue=4&rft.spage=861&rft.epage=872&rft.pages=861-872&rft.issn=1065-9471&rft.eissn=1097-0193&rft_id=info:doi/10.1002/hbm.21253&rft_dat=%3Cproquest_pubme%3E927988364%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1517355952&rft_id=info:pmid/21484955&rfr_iscdi=true |