Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory task

Complex behavior and task execution require fast changes of local activity and functional connectivity in cortical networks at multiple scales. The roles that changes of power and connectivity play during these processes are still not well understood. Here, we study how fluctuations of functional co...

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Main Authors: Edgar E. Galindo-Leon, Karl J. Hollensteiner, Florian Pieper, Gerhard Engler, Guido Nolte, Andreas K. Engel
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Systems Neuroscience
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Online Access:https://www.frontiersin.org/articles/10.3389/fnsys.2025.1524547/full
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author Edgar E. Galindo-Leon
Karl J. Hollensteiner
Florian Pieper
Gerhard Engler
Guido Nolte
Andreas K. Engel
author_facet Edgar E. Galindo-Leon
Karl J. Hollensteiner
Florian Pieper
Gerhard Engler
Guido Nolte
Andreas K. Engel
author_sort Edgar E. Galindo-Leon
collection DOAJ
description Complex behavior and task execution require fast changes of local activity and functional connectivity in cortical networks at multiple scales. The roles that changes of power and connectivity play during these processes are still not well understood. Here, we study how fluctuations of functional cortical coupling across different brain areas determine performance in an audiovisual, lateralized detection task in the ferret. We hypothesized that dynamic variations in the network’s state determine the animals’ performance. We evaluated these by quantifying changes of local power and of phase coupling across visual, auditory and parietal regions. While power for hit and miss trials showed significant differences only during stimulus and response onset, phase coupling already differed before stimulus onset. An analysis of principal components in coupling at the single-trial level during this period allowed us to reveal the subnetworks that most strongly determined performance. Whereas higher global phase coupling of visual and auditory regions to parietal cortex was predictive of task performance, a second component revealed a reduction in coupling between subnetworks of different sensory modalities, probably to allow a better detection of the unimodal signals. Furthermore, we observed that long-range coupling became more predominant during the task period compared to the pre-stimulus baseline. Taken together, our results show that fluctuations in the network state, as reflected in large-scale coupling, are key determinants of the animals’ behavior.
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spelling doaj-art-e176b98683cc49678c7b5106156b3f772025-02-12T07:25:50ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372025-02-011910.3389/fnsys.2025.15245471524547Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory taskEdgar E. Galindo-LeonKarl J. HollensteinerFlorian PieperGerhard EnglerGuido NolteAndreas K. EngelComplex behavior and task execution require fast changes of local activity and functional connectivity in cortical networks at multiple scales. The roles that changes of power and connectivity play during these processes are still not well understood. Here, we study how fluctuations of functional cortical coupling across different brain areas determine performance in an audiovisual, lateralized detection task in the ferret. We hypothesized that dynamic variations in the network’s state determine the animals’ performance. We evaluated these by quantifying changes of local power and of phase coupling across visual, auditory and parietal regions. While power for hit and miss trials showed significant differences only during stimulus and response onset, phase coupling already differed before stimulus onset. An analysis of principal components in coupling at the single-trial level during this period allowed us to reveal the subnetworks that most strongly determined performance. Whereas higher global phase coupling of visual and auditory regions to parietal cortex was predictive of task performance, a second component revealed a reduction in coupling between subnetworks of different sensory modalities, probably to allow a better detection of the unimodal signals. Furthermore, we observed that long-range coupling became more predominant during the task period compared to the pre-stimulus baseline. Taken together, our results show that fluctuations in the network state, as reflected in large-scale coupling, are key determinants of the animals’ behavior.https://www.frontiersin.org/articles/10.3389/fnsys.2025.1524547/fullphaseconnectivityauditoryvisualaudiovisualECoG
spellingShingle Edgar E. Galindo-Leon
Karl J. Hollensteiner
Florian Pieper
Gerhard Engler
Guido Nolte
Andreas K. Engel
Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory task
Frontiers in Systems Neuroscience
phase
connectivity
auditory
visual
audiovisual
ECoG
title Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory task
title_full Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory task
title_fullStr Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory task
title_full_unstemmed Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory task
title_short Dynamic changes in large-scale functional connectivity prior to stimulation determine performance in a multisensory task
title_sort dynamic changes in large scale functional connectivity prior to stimulation determine performance in a multisensory task
topic phase
connectivity
auditory
visual
audiovisual
ECoG
url https://www.frontiersin.org/articles/10.3389/fnsys.2025.1524547/full
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