Dynamic large-scale network synchronization from perception to action

Jonni Santeri Hirvonen, Simo Petteri Monto, Sheng Hua Wang, Jaakko Matias Palva, Satu Orvokki Palva

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

Kuvaus

Sensory-guided actions entail the processing of sensory information, generation of perceptual decisions, and the generation of appropriate actions. Neuronal activity underlying these processes is distributed into sensory, fronto-parietal, and motor brain areas, respectively. How the neuronal processing is coordinated across these brain areas to support functions from perception to action remains unknown. We investigated whether phase synchronization in large-scale networks coordinate these processes. We recorded human cortical activity with magnetoencephalography (MEG) during a task in which weak somatosensory stimuli remained unperceived or were perceived. We then assessed dynamic evolution of phase synchronization in large-scale networks from source-reconstructed MEG data by using advanced analysis approaches combined with graph theory. Here we show that perceiving and reporting of weak somatosensory stimuli is correlated with sustained strengthening of large-scale synchrony concurrently in delta/theta (3-7 Hz) and gamma (40-60 Hz) frequency bands. In a data-driven network localization, we found this synchronization to dynamically connect the task-relevant, that is, the fronto-parietal, sensory, and motor systems. The strength and temporal pattern of interareal synchronization were also correlated with the response times. These data thus show that key brain areas underlying perception, decision-making, and actions are transiently connected by large-scale dynamic phase synchronization in the delta/theta and gamma bands.
Alkuperäiskielienglanti
LehtiNetwork neuroscience
Vuosikerta2
Numero4
Sivut442-463
Sivumäärä22
ISSN2472-1751
DOI - pysyväislinkit
TilaJulkaistu - 2018
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Tieteenalat

  • 3112 Neurotieteet

Lainaa tätä

Hirvonen, Jonni Santeri ; Monto, Simo Petteri ; Wang, Sheng Hua ; Palva, Jaakko Matias ; Palva, Satu Orvokki. / Dynamic large-scale network synchronization from perception to action. Julkaisussa: Network neuroscience. 2018 ; Vuosikerta 2, Nro 4. Sivut 442-463.
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title = "Dynamic large-scale network synchronization from perception to action",
abstract = "Sensory-guided actions entail the processing of sensory information, generation of perceptual decisions, and the generation of appropriate actions. Neuronal activity underlying these processes is distributed into sensory, fronto-parietal, and motor brain areas, respectively. How the neuronal processing is coordinated across these brain areas to support functions from perception to action remains unknown. We investigated whether phase synchronization in large-scale networks coordinate these processes. We recorded human cortical activity with magnetoencephalography (MEG) during a task in which weak somatosensory stimuli remained unperceived or were perceived. We then assessed dynamic evolution of phase synchronization in large-scale networks from source-reconstructed MEG data by using advanced analysis approaches combined with graph theory. Here we show that perceiving and reporting of weak somatosensory stimuli is correlated with sustained strengthening of large-scale synchrony concurrently in delta/theta (3-7 Hz) and gamma (40-60 Hz) frequency bands. In a data-driven network localization, we found this synchronization to dynamically connect the task-relevant, that is, the fronto-parietal, sensory, and motor systems. The strength and temporal pattern of interareal synchronization were also correlated with the response times. These data thus show that key brain areas underlying perception, decision-making, and actions are transiently connected by large-scale dynamic phase synchronization in the delta/theta and gamma bands.",
keywords = "3112 Neurosciences, MEG, Synchronization, Somatosensory, Communication, Perception, Action",
author = "Hirvonen, {Jonni Santeri} and Monto, {Simo Petteri} and Wang, {Sheng Hua} and Palva, {Jaakko Matias} and Palva, {Satu Orvokki}",
year = "2018",
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Dynamic large-scale network synchronization from perception to action. / Hirvonen, Jonni Santeri; Monto, Simo Petteri; Wang, Sheng Hua; Palva, Jaakko Matias; Palva, Satu Orvokki.

julkaisussa: Network neuroscience, Vuosikerta 2, Nro 4, 2018, s. 442-463.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

TY - JOUR

T1 - Dynamic large-scale network synchronization from perception to action

AU - Hirvonen, Jonni Santeri

AU - Monto, Simo Petteri

AU - Wang, Sheng Hua

AU - Palva, Jaakko Matias

AU - Palva, Satu Orvokki

PY - 2018

Y1 - 2018

N2 - Sensory-guided actions entail the processing of sensory information, generation of perceptual decisions, and the generation of appropriate actions. Neuronal activity underlying these processes is distributed into sensory, fronto-parietal, and motor brain areas, respectively. How the neuronal processing is coordinated across these brain areas to support functions from perception to action remains unknown. We investigated whether phase synchronization in large-scale networks coordinate these processes. We recorded human cortical activity with magnetoencephalography (MEG) during a task in which weak somatosensory stimuli remained unperceived or were perceived. We then assessed dynamic evolution of phase synchronization in large-scale networks from source-reconstructed MEG data by using advanced analysis approaches combined with graph theory. Here we show that perceiving and reporting of weak somatosensory stimuli is correlated with sustained strengthening of large-scale synchrony concurrently in delta/theta (3-7 Hz) and gamma (40-60 Hz) frequency bands. In a data-driven network localization, we found this synchronization to dynamically connect the task-relevant, that is, the fronto-parietal, sensory, and motor systems. The strength and temporal pattern of interareal synchronization were also correlated with the response times. These data thus show that key brain areas underlying perception, decision-making, and actions are transiently connected by large-scale dynamic phase synchronization in the delta/theta and gamma bands.

AB - Sensory-guided actions entail the processing of sensory information, generation of perceptual decisions, and the generation of appropriate actions. Neuronal activity underlying these processes is distributed into sensory, fronto-parietal, and motor brain areas, respectively. How the neuronal processing is coordinated across these brain areas to support functions from perception to action remains unknown. We investigated whether phase synchronization in large-scale networks coordinate these processes. We recorded human cortical activity with magnetoencephalography (MEG) during a task in which weak somatosensory stimuli remained unperceived or were perceived. We then assessed dynamic evolution of phase synchronization in large-scale networks from source-reconstructed MEG data by using advanced analysis approaches combined with graph theory. Here we show that perceiving and reporting of weak somatosensory stimuli is correlated with sustained strengthening of large-scale synchrony concurrently in delta/theta (3-7 Hz) and gamma (40-60 Hz) frequency bands. In a data-driven network localization, we found this synchronization to dynamically connect the task-relevant, that is, the fronto-parietal, sensory, and motor systems. The strength and temporal pattern of interareal synchronization were also correlated with the response times. These data thus show that key brain areas underlying perception, decision-making, and actions are transiently connected by large-scale dynamic phase synchronization in the delta/theta and gamma bands.

KW - 3112 Neurosciences

KW - MEG

KW - Synchronization

KW - Somatosensory

KW - Communication

KW - Perception

KW - Action

U2 - 10.1162/netn_a_00039

DO - 10.1162/netn_a_00039

M3 - Article

VL - 2

SP - 442

EP - 463

JO - Network neuroscience

JF - Network neuroscience

SN - 2472-1751

IS - 4

ER -