Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state
At the macroscale, the brain operates as a network of interconnected neuronal populations, which display coordinated rhythmic dynamics that support interareal communication. Understanding how stimulation of different brain areas impacts such activity is important for gaining basic insights into brai...
Gespeichert in:
Veröffentlicht in: | PLoS computational biology 2020-09, Vol.16 (9), p.e1008144-e1008144 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e1008144 |
---|---|
container_issue | 9 |
container_start_page | e1008144 |
container_title | PLoS computational biology |
container_volume | 16 |
creator | Papadopoulos, Lia Lynn, Christopher W Battaglia, Demian Bassett, Danielle S |
description | At the macroscale, the brain operates as a network of interconnected neuronal populations, which display coordinated rhythmic dynamics that support interareal communication. Understanding how stimulation of different brain areas impacts such activity is important for gaining basic insights into brain function and for further developing therapeutic neurmodulation. However, the complexity of brain structure and dynamics hinders predictions regarding the downstream effects of focal stimulation. More specifically, little is known about how the collective oscillatory regime of brain network activity-in concert with network structure-affects the outcomes of perturbations. Here, we combine human connectome data and biophysical modeling to begin filling these gaps. By tuning parameters that control collective system dynamics, we identify distinct states of simulated brain activity and investigate how the distributed effects of stimulation manifest at different dynamical working points. When baseline oscillations are weak, the stimulated area exhibits enhanced power and frequency, and due to network interactions, activity in this excited frequency band propagates to nearby regions. Notably, beyond these linear effects, we further find that focal stimulation causes more distributed modifications to interareal coherence in a band containing regions' baseline oscillation frequencies. Importantly, depending on the dynamical state of the system, these broadband effects can be better predicted by functional rather than structural connectivity, emphasizing a complex interplay between anatomical organization, dynamics, and response to perturbation. In contrast, when the network operates in a regime of strong regional oscillations, stimulation causes only slight shifts in power and frequency, and structural connectivity becomes most predictive of stimulation-induced changes in network activity patterns. In sum, this work builds upon and extends previous computational studies investigating the impacts of stimulation, and underscores the fact that both the stimulation site, and, crucially, the regime of brain network dynamics, can influence the network-wide responses to local perturbations. |
doi_str_mv | 10.1371/journal.pcbi.1008144 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2451548623</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A638004607</galeid><doaj_id>oai_doaj_org_article_66e73ebd00cb49e5b7ccd94d11c61136</doaj_id><sourcerecordid>A638004607</sourcerecordid><originalsourceid>FETCH-LOGICAL-c675t-fb60b5e98a20713c82bdcc2e22f58d9ad57f586a85d5b51bc4a9520b72a8bab03</originalsourceid><addsrcrecordid>eNqVk12LEzEUhgdR3HX1HwgOeKNgazKZfMzNQlnULRSFVa9DPs50s6RJTabV_nvTdhS77I3kIifJ874nOeFU1UuMpphw_P4ublJQfro22k0xQgK37aPqHFNKJpxQ8fif-Kx6lvMdQiXs2NPqjDRCMMbJebW7Aa8GF0OuNQw_AULtVVrCJBvlodZJuVCbGAKYwW3dsKtVsDX0fVnnOvZ1gmVRK1_nwa02R6_awhoKFvdS7w9SqO0uqJUzB1QN8Lx60iuf4cU4X1TfP374dnU9WXz5NL-aLSaGcTpMes2QptAJ1SCOiRGNtsY00DQ9FbZTlvISMCWopZpibVrV0QZp3iihlUbkonp19F37mOVYtSyblmLaCtaQQsyPhI3qTq6TW6m0k1E5ediIaSlVGpzxIBkDTkBbhIxuO6CaG2O71mJsGMaEFa_LMdtGr8AaCENS_sT09CS4W7mMW8kp4UJ0xeDd0eD2nux6tpAuZEgriZqO0YbyLS74mzFfij82kAe5ctmA9ypA3Oyf2aKW4460BX19D324GCO1LP9fEvaxXNPsTeWMEYFQyxAv1PQBqgwL5YtjgN6V_RPB2xNBYQb4NSzVJmc5_3rzH-znU7Y9sibFnBP0f2uGkdz3yZ9Hyn2fyLFPyG80UwYO</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2451548623</pqid></control><display><type>article</type><title>Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state</title><source>Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>Free E-Journal (出版社公開部分のみ)</source><source>PubMed Central</source><creator>Papadopoulos, Lia ; Lynn, Christopher W ; Battaglia, Demian ; Bassett, Danielle S</creator><contributor>Marinazzo, Daniele</contributor><creatorcontrib>Papadopoulos, Lia ; Lynn, Christopher W ; Battaglia, Demian ; Bassett, Danielle S ; Marinazzo, Daniele</creatorcontrib><description>At the macroscale, the brain operates as a network of interconnected neuronal populations, which display coordinated rhythmic dynamics that support interareal communication. Understanding how stimulation of different brain areas impacts such activity is important for gaining basic insights into brain function and for further developing therapeutic neurmodulation. However, the complexity of brain structure and dynamics hinders predictions regarding the downstream effects of focal stimulation. More specifically, little is known about how the collective oscillatory regime of brain network activity-in concert with network structure-affects the outcomes of perturbations. Here, we combine human connectome data and biophysical modeling to begin filling these gaps. By tuning parameters that control collective system dynamics, we identify distinct states of simulated brain activity and investigate how the distributed effects of stimulation manifest at different dynamical working points. When baseline oscillations are weak, the stimulated area exhibits enhanced power and frequency, and due to network interactions, activity in this excited frequency band propagates to nearby regions. Notably, beyond these linear effects, we further find that focal stimulation causes more distributed modifications to interareal coherence in a band containing regions' baseline oscillation frequencies. Importantly, depending on the dynamical state of the system, these broadband effects can be better predicted by functional rather than structural connectivity, emphasizing a complex interplay between anatomical organization, dynamics, and response to perturbation. In contrast, when the network operates in a regime of strong regional oscillations, stimulation causes only slight shifts in power and frequency, and structural connectivity becomes most predictive of stimulation-induced changes in network activity patterns. In sum, this work builds upon and extends previous computational studies investigating the impacts of stimulation, and underscores the fact that both the stimulation site, and, crucially, the regime of brain network dynamics, can influence the network-wide responses to local perturbations.</description><identifier>ISSN: 1553-7358</identifier><identifier>ISSN: 1553-734X</identifier><identifier>EISSN: 1553-7358</identifier><identifier>DOI: 10.1371/journal.pcbi.1008144</identifier><identifier>PMID: 32886673</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Activity patterns ; Astronomy ; Biology and Life Sciences ; Brain ; Broadband ; Complexity ; Computational neuroscience ; Computer and Information Sciences ; Downstream effects ; Dynamic structural analysis ; Dynamical systems ; Earth Sciences ; Engineering and Technology ; Frequencies ; Investigations ; Life Sciences ; Medicine and Health Sciences ; Neural circuitry ; Neural networks ; Neurons and Cognition ; Oscillations ; Parameter identification ; Perturbation ; Physics ; Physiological aspects ; Rhythm ; Rhythms ; Social Sciences ; Stimulation ; Structure-function relationships ; System dynamics</subject><ispartof>PLoS computational biology, 2020-09, Vol.16 (9), p.e1008144-e1008144</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Papadopoulos et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2020 Papadopoulos et al 2020 Papadopoulos et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c675t-fb60b5e98a20713c82bdcc2e22f58d9ad57f586a85d5b51bc4a9520b72a8bab03</citedby><cites>FETCH-LOGICAL-c675t-fb60b5e98a20713c82bdcc2e22f58d9ad57f586a85d5b51bc4a9520b72a8bab03</cites><orcidid>0000-0002-6183-4493 ; 0000-0003-2021-7920</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537889/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7537889/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://inserm.hal.science/inserm-02965257$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Marinazzo, Daniele</contributor><creatorcontrib>Papadopoulos, Lia</creatorcontrib><creatorcontrib>Lynn, Christopher W</creatorcontrib><creatorcontrib>Battaglia, Demian</creatorcontrib><creatorcontrib>Bassett, Danielle S</creatorcontrib><title>Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state</title><title>PLoS computational biology</title><description>At the macroscale, the brain operates as a network of interconnected neuronal populations, which display coordinated rhythmic dynamics that support interareal communication. Understanding how stimulation of different brain areas impacts such activity is important for gaining basic insights into brain function and for further developing therapeutic neurmodulation. However, the complexity of brain structure and dynamics hinders predictions regarding the downstream effects of focal stimulation. More specifically, little is known about how the collective oscillatory regime of brain network activity-in concert with network structure-affects the outcomes of perturbations. Here, we combine human connectome data and biophysical modeling to begin filling these gaps. By tuning parameters that control collective system dynamics, we identify distinct states of simulated brain activity and investigate how the distributed effects of stimulation manifest at different dynamical working points. When baseline oscillations are weak, the stimulated area exhibits enhanced power and frequency, and due to network interactions, activity in this excited frequency band propagates to nearby regions. Notably, beyond these linear effects, we further find that focal stimulation causes more distributed modifications to interareal coherence in a band containing regions' baseline oscillation frequencies. Importantly, depending on the dynamical state of the system, these broadband effects can be better predicted by functional rather than structural connectivity, emphasizing a complex interplay between anatomical organization, dynamics, and response to perturbation. In contrast, when the network operates in a regime of strong regional oscillations, stimulation causes only slight shifts in power and frequency, and structural connectivity becomes most predictive of stimulation-induced changes in network activity patterns. In sum, this work builds upon and extends previous computational studies investigating the impacts of stimulation, and underscores the fact that both the stimulation site, and, crucially, the regime of brain network dynamics, can influence the network-wide responses to local perturbations.</description><subject>Activity patterns</subject><subject>Astronomy</subject><subject>Biology and Life Sciences</subject><subject>Brain</subject><subject>Broadband</subject><subject>Complexity</subject><subject>Computational neuroscience</subject><subject>Computer and Information Sciences</subject><subject>Downstream effects</subject><subject>Dynamic structural analysis</subject><subject>Dynamical systems</subject><subject>Earth Sciences</subject><subject>Engineering and Technology</subject><subject>Frequencies</subject><subject>Investigations</subject><subject>Life Sciences</subject><subject>Medicine and Health Sciences</subject><subject>Neural circuitry</subject><subject>Neural networks</subject><subject>Neurons and Cognition</subject><subject>Oscillations</subject><subject>Parameter identification</subject><subject>Perturbation</subject><subject>Physics</subject><subject>Physiological aspects</subject><subject>Rhythm</subject><subject>Rhythms</subject><subject>Social Sciences</subject><subject>Stimulation</subject><subject>Structure-function relationships</subject><subject>System dynamics</subject><issn>1553-7358</issn><issn>1553-734X</issn><issn>1553-7358</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqVk12LEzEUhgdR3HX1HwgOeKNgazKZfMzNQlnULRSFVa9DPs50s6RJTabV_nvTdhS77I3kIifJ874nOeFU1UuMpphw_P4ublJQfro22k0xQgK37aPqHFNKJpxQ8fif-Kx6lvMdQiXs2NPqjDRCMMbJebW7Aa8GF0OuNQw_AULtVVrCJBvlodZJuVCbGAKYwW3dsKtVsDX0fVnnOvZ1gmVRK1_nwa02R6_awhoKFvdS7w9SqO0uqJUzB1QN8Lx60iuf4cU4X1TfP374dnU9WXz5NL-aLSaGcTpMes2QptAJ1SCOiRGNtsY00DQ9FbZTlvISMCWopZpibVrV0QZp3iihlUbkonp19F37mOVYtSyblmLaCtaQQsyPhI3qTq6TW6m0k1E5ediIaSlVGpzxIBkDTkBbhIxuO6CaG2O71mJsGMaEFa_LMdtGr8AaCENS_sT09CS4W7mMW8kp4UJ0xeDd0eD2nux6tpAuZEgriZqO0YbyLS74mzFfij82kAe5ctmA9ypA3Oyf2aKW4460BX19D324GCO1LP9fEvaxXNPsTeWMEYFQyxAv1PQBqgwL5YtjgN6V_RPB2xNBYQb4NSzVJmc5_3rzH-znU7Y9sibFnBP0f2uGkdz3yZ9Hyn2fyLFPyG80UwYO</recordid><startdate>20200904</startdate><enddate>20200904</enddate><creator>Papadopoulos, Lia</creator><creator>Lynn, Christopher W</creator><creator>Battaglia, Demian</creator><creator>Bassett, Danielle S</creator><general>Public Library of Science</general><general>PLOS</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7QO</scope><scope>7QP</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>LK8</scope><scope>M0N</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6183-4493</orcidid><orcidid>https://orcid.org/0000-0003-2021-7920</orcidid></search><sort><creationdate>20200904</creationdate><title>Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state</title><author>Papadopoulos, Lia ; Lynn, Christopher W ; Battaglia, Demian ; Bassett, Danielle S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c675t-fb60b5e98a20713c82bdcc2e22f58d9ad57f586a85d5b51bc4a9520b72a8bab03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Activity patterns</topic><topic>Astronomy</topic><topic>Biology and Life Sciences</topic><topic>Brain</topic><topic>Broadband</topic><topic>Complexity</topic><topic>Computational neuroscience</topic><topic>Computer and Information Sciences</topic><topic>Downstream effects</topic><topic>Dynamic structural analysis</topic><topic>Dynamical systems</topic><topic>Earth Sciences</topic><topic>Engineering and Technology</topic><topic>Frequencies</topic><topic>Investigations</topic><topic>Life Sciences</topic><topic>Medicine and Health Sciences</topic><topic>Neural circuitry</topic><topic>Neural networks</topic><topic>Neurons and Cognition</topic><topic>Oscillations</topic><topic>Parameter identification</topic><topic>Perturbation</topic><topic>Physics</topic><topic>Physiological aspects</topic><topic>Rhythm</topic><topic>Rhythms</topic><topic>Social Sciences</topic><topic>Stimulation</topic><topic>Structure-function relationships</topic><topic>System dynamics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Papadopoulos, Lia</creatorcontrib><creatorcontrib>Lynn, Christopher W</creatorcontrib><creatorcontrib>Battaglia, Demian</creatorcontrib><creatorcontrib>Bassett, Danielle S</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Canada</collection><collection>Science (Gale in Context)</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>ProQuest Central</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Biological Science Journals</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PLoS computational biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Papadopoulos, Lia</au><au>Lynn, Christopher W</au><au>Battaglia, Demian</au><au>Bassett, Danielle S</au><au>Marinazzo, Daniele</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state</atitle><jtitle>PLoS computational biology</jtitle><date>2020-09-04</date><risdate>2020</risdate><volume>16</volume><issue>9</issue><spage>e1008144</spage><epage>e1008144</epage><pages>e1008144-e1008144</pages><issn>1553-7358</issn><issn>1553-734X</issn><eissn>1553-7358</eissn><abstract>At the macroscale, the brain operates as a network of interconnected neuronal populations, which display coordinated rhythmic dynamics that support interareal communication. Understanding how stimulation of different brain areas impacts such activity is important for gaining basic insights into brain function and for further developing therapeutic neurmodulation. However, the complexity of brain structure and dynamics hinders predictions regarding the downstream effects of focal stimulation. More specifically, little is known about how the collective oscillatory regime of brain network activity-in concert with network structure-affects the outcomes of perturbations. Here, we combine human connectome data and biophysical modeling to begin filling these gaps. By tuning parameters that control collective system dynamics, we identify distinct states of simulated brain activity and investigate how the distributed effects of stimulation manifest at different dynamical working points. When baseline oscillations are weak, the stimulated area exhibits enhanced power and frequency, and due to network interactions, activity in this excited frequency band propagates to nearby regions. Notably, beyond these linear effects, we further find that focal stimulation causes more distributed modifications to interareal coherence in a band containing regions' baseline oscillation frequencies. Importantly, depending on the dynamical state of the system, these broadband effects can be better predicted by functional rather than structural connectivity, emphasizing a complex interplay between anatomical organization, dynamics, and response to perturbation. In contrast, when the network operates in a regime of strong regional oscillations, stimulation causes only slight shifts in power and frequency, and structural connectivity becomes most predictive of stimulation-induced changes in network activity patterns. In sum, this work builds upon and extends previous computational studies investigating the impacts of stimulation, and underscores the fact that both the stimulation site, and, crucially, the regime of brain network dynamics, can influence the network-wide responses to local perturbations.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>32886673</pmid><doi>10.1371/journal.pcbi.1008144</doi><orcidid>https://orcid.org/0000-0002-6183-4493</orcidid><orcidid>https://orcid.org/0000-0003-2021-7920</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1553-7358 |
ispartof | PLoS computational biology, 2020-09, Vol.16 (9), p.e1008144-e1008144 |
issn | 1553-7358 1553-734X 1553-7358 |
language | eng |
recordid | cdi_plos_journals_2451548623 |
source | Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; Free E-Journal (出版社公開部分のみ); PubMed Central |
subjects | Activity patterns Astronomy Biology and Life Sciences Brain Broadband Complexity Computational neuroscience Computer and Information Sciences Downstream effects Dynamic structural analysis Dynamical systems Earth Sciences Engineering and Technology Frequencies Investigations Life Sciences Medicine and Health Sciences Neural circuitry Neural networks Neurons and Cognition Oscillations Parameter identification Perturbation Physics Physiological aspects Rhythm Rhythms Social Sciences Stimulation Structure-function relationships System dynamics |
title | Relations between large-scale brain connectivity and effects of regional stimulation depend on collective dynamical state |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T09%3A10%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Relations%20between%20large-scale%20brain%20connectivity%20and%20effects%20of%20regional%20stimulation%20depend%20on%20collective%20dynamical%20state&rft.jtitle=PLoS%20computational%20biology&rft.au=Papadopoulos,%20Lia&rft.date=2020-09-04&rft.volume=16&rft.issue=9&rft.spage=e1008144&rft.epage=e1008144&rft.pages=e1008144-e1008144&rft.issn=1553-7358&rft.eissn=1553-7358&rft_id=info:doi/10.1371/journal.pcbi.1008144&rft_dat=%3Cgale_plos_%3EA638004607%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2451548623&rft_id=info:pmid/32886673&rft_galeid=A638004607&rft_doaj_id=oai_doaj_org_article_66e73ebd00cb49e5b7ccd94d11c61136&rfr_iscdi=true |