Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations

Synchronization between neuronal populations plays an important role in information transmission between brain areas. In particular, collective oscillations emerging from the synchronized activity of thousands of neurons can increase the functional connectivity between neural assemblies by coherentl...

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Autores: Barardi, Alessandro, Sancristóbal Alonso, Belén de, García Ojalvo, Jordi|||0000-0002-3716-7520
Tipo de recurso: artículo
Fecha de publicación:2014
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/26619
Acceso en línea:https://hdl.handle.net/2117/26619
https://dx.doi.org/10.1371/journal.pcbi.1003723
Access Level:acceso abierto
Palabra clave:Neurology
Brain
Selective visual-attention
Fast network oscillations
Stimulus selection
Synchronization
Cortex
Information
Dynamics
Frequency
Areas
Interneurons
Cervell
Còrtex cerebral
Àrees temàtiques de la UPC::Física
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
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network_name_str España
repository_id_str
spelling Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal PopulationsBarardi, AlessandroSancristóbal Alonso, Belén deGarcía Ojalvo, Jordi|||0000-0002-3716-7520NeurologyBrainSelective visual-attentionFast network oscillationsStimulus selectionSynchronizationCortexInformationDynamicsFrequencyAreasInterneuronsCervellCòrtex cerebralÀrees temàtiques de la UPC::FísicaÀrees temàtiques de la UPC::Ciències de la salut::Medicina::NeurologiaSynchronization between neuronal populations plays an important role in information transmission between brain areas. In particular, collective oscillations emerging from the synchronized activity of thousands of neurons can increase the functional connectivity between neural assemblies by coherently coordinating their phases. This synchrony of neuronal activity can take place within a cortical patch or between different cortical regions. While short-range interactions between neurons involve just a few milliseconds, communication through long-range projections between different regions could take up to tens of milliseconds. How these heterogeneous transmission delays affect communication between neuronal populations is not well known. To address this question, we have studied the dynamics of two bidirectionally delayedcoupled neuronal populations using conductance-based spiking models, examining how different synaptic delays give rise to in-phase/anti-phase transitions at particular frequencies within the gamma range, and how this behavior is related to the phase coherence between the two populations at different frequencies. We have used spectral analysis and information theory to quantify the information exchanged between the two networks. For different transmission delays between the two coupled populations, we analyze how the local field potential and multi-unit activity calculated from one population convey information in response to a set of external inputs applied to the other population. The results confirm that zero-lag synchronization maximizes information transmission, although out-of-phase synchronization allows for efficient communication provided the coupling delay, the phase lag between the populations, and the frequency of the oscillations are properly matched.Peer Reviewed20142014-07-0120152015-03-09journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/26619https://dx.doi.org/10.1371/journal.pcbi.100372325058021reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengEuropean Commission http://dx.doi.org/10.13039/100011102 Seventh Framework Programme 289146 Neural Engineering Transformative Technologiesopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/266192026-05-27T15:37:01Z
dc.title.none.fl_str_mv Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations
title Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations
spellingShingle Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations
Barardi, Alessandro
Neurology
Brain
Selective visual-attention
Fast network oscillations
Stimulus selection
Synchronization
Cortex
Information
Dynamics
Frequency
Areas
Interneurons
Cervell
Còrtex cerebral
Àrees temàtiques de la UPC::Física
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
title_short Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations
title_full Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations
title_fullStr Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations
title_full_unstemmed Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations
title_sort Phase-Coherence Transitions and Communication in the Gamma Range between Delay-Coupled Neuronal Populations
dc.creator.none.fl_str_mv Barardi, Alessandro
Sancristóbal Alonso, Belén de
García Ojalvo, Jordi|||0000-0002-3716-7520
author Barardi, Alessandro
author_facet Barardi, Alessandro
Sancristóbal Alonso, Belén de
García Ojalvo, Jordi|||0000-0002-3716-7520
author_role author
author2 Sancristóbal Alonso, Belén de
García Ojalvo, Jordi|||0000-0002-3716-7520
author2_role author
author
dc.subject.none.fl_str_mv Neurology
Brain
Selective visual-attention
Fast network oscillations
Stimulus selection
Synchronization
Cortex
Information
Dynamics
Frequency
Areas
Interneurons
Cervell
Còrtex cerebral
Àrees temàtiques de la UPC::Física
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
topic Neurology
Brain
Selective visual-attention
Fast network oscillations
Stimulus selection
Synchronization
Cortex
Information
Dynamics
Frequency
Areas
Interneurons
Cervell
Còrtex cerebral
Àrees temàtiques de la UPC::Física
Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia
description Synchronization between neuronal populations plays an important role in information transmission between brain areas. In particular, collective oscillations emerging from the synchronized activity of thousands of neurons can increase the functional connectivity between neural assemblies by coherently coordinating their phases. This synchrony of neuronal activity can take place within a cortical patch or between different cortical regions. While short-range interactions between neurons involve just a few milliseconds, communication through long-range projections between different regions could take up to tens of milliseconds. How these heterogeneous transmission delays affect communication between neuronal populations is not well known. To address this question, we have studied the dynamics of two bidirectionally delayedcoupled neuronal populations using conductance-based spiking models, examining how different synaptic delays give rise to in-phase/anti-phase transitions at particular frequencies within the gamma range, and how this behavior is related to the phase coherence between the two populations at different frequencies. We have used spectral analysis and information theory to quantify the information exchanged between the two networks. For different transmission delays between the two coupled populations, we analyze how the local field potential and multi-unit activity calculated from one population convey information in response to a set of external inputs applied to the other population. The results confirm that zero-lag synchronization maximizes information transmission, although out-of-phase synchronization allows for efficient communication provided the coupling delay, the phase lag between the populations, and the frequency of the oscillations are properly matched.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-07-01
2015
2015-03-09
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/26619
https://dx.doi.org/10.1371/journal.pcbi.1003723
25058021
url https://hdl.handle.net/2117/26619
https://dx.doi.org/10.1371/journal.pcbi.1003723
identifier_str_mv 25058021
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv European Commission http://dx.doi.org/10.13039/100011102 Seventh Framework Programme 289146 Neural Engineering Transformative Technologies
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405067218518016
score 15,300719

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