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Assessing the influence of local neural activity on global connectivity fluctuations: Application to human intracranial EEG during a cognitive task

View ORCID ProfileManel Vila-Vidal, Mariam Khawaja, Mar Carreño, Pedro Roldán, Jordi Rumià, Antonio Donaire, Gustavo Deco, View ORCID ProfileAdrià Tauste Campo
doi: https://doi.org/10.1101/2021.06.25.449912
Manel Vila-Vidal
aDepartment of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
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  • ORCID record for Manel Vila-Vidal
  • For correspondence: m@vila-vidal.com
Mariam Khawaja
bEpilepsy Program, Hospital Clínic, Barcelona, Spain
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Mar Carreño
bEpilepsy Program, Hospital Clínic, Barcelona, Spain
cInstitut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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Pedro Roldán
dEpilepsy Program, Neurosurgery, Hospital Clínic, Barcelona, Spain
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Jordi Rumià
dEpilepsy Program, Neurosurgery, Hospital Clínic, Barcelona, Spain
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Antonio Donaire
bEpilepsy Program, Hospital Clínic, Barcelona, Spain
cInstitut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
eCIBERBBN, Networking Centre on Bioengineering, Biomaterials and Nanomedicine, Barcelona, Spain
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Gustavo Deco
aDepartment of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
fInstitució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
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Adrià Tauste Campo
aDepartment of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain
gDepartment of Applied Physics, Universitat Politècnica de Catalunya, Barcelona, Spain
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  • ORCID record for Adrià Tauste Campo
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Abstract

Cognitive-relevant information is processed by different brain areas that cooperate to eventually produce a response. The relationship between local activity and global brain states during such processes, however, remains for the most part unexplored. To address this question, we designed a simple face-recognition task performed in drug-resistant epileptic patients with intracranial EEG. Based on our observations, we developed a novel analytical framework (named “local-global” framework) to statistically correlate the brain activity in every recorded gray-matter region with the coupling functions as proxy to assess the level of influence of local neural activations into the brain’s global state during cognition. The application of our analysis to the data from two subjects was able to detect the local activity in task-relevant brain areas including the primary visual and motor cortices. Despite substantial differences in the recorded regions of each subject, the coupling functions consistently showed a significant global desynchronization occurring a few hundred milliseconds after the stimulus onset. In this context, the local-global framework revealed that the reported desynchronization was better explained by the local activity of brain areas involved in face information processing, providing evidence that the global measures might be a novel signature of functional brain activity reorganization taking place when a stimulus is processed in a task context.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵1 These authors jointly supervised this work

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted June 26, 2021.
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Assessing the influence of local neural activity on global connectivity fluctuations: Application to human intracranial EEG during a cognitive task
Manel Vila-Vidal, Mariam Khawaja, Mar Carreño, Pedro Roldán, Jordi Rumià, Antonio Donaire, Gustavo Deco, Adrià Tauste Campo
bioRxiv 2021.06.25.449912; doi: https://doi.org/10.1101/2021.06.25.449912
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Assessing the influence of local neural activity on global connectivity fluctuations: Application to human intracranial EEG during a cognitive task
Manel Vila-Vidal, Mariam Khawaja, Mar Carreño, Pedro Roldán, Jordi Rumià, Antonio Donaire, Gustavo Deco, Adrià Tauste Campo
bioRxiv 2021.06.25.449912; doi: https://doi.org/10.1101/2021.06.25.449912

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