Assessing the coupling between local neural activity and global connectivity fluctuations: application to human intracranial electroencephalography during a cognitive task

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• dc.contributor.author Vila-Vidal, Manel, 1991-
• dc.contributor.author Khawaja, Mariam
• dc.contributor.author Carreño, Mar
• dc.contributor.author Roldán, Pedro
• dc.contributor.author Rumià Arboix, Jordi
• dc.contributor.author Donaire Pedraza, Antonio J.
• dc.contributor.author Deco, Gustavo
• dc.contributor.author Tauste Campo, Adrià, 1982-
• dc.date.accessioned 2023-03-20T07:22:52Z
• dc.date.available 2023-03-20T07:22:52Z
• dc.date.issued 2023
• dc.description Includes supplementary materials for the online appendix.
• dc.description.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 patients with drug-resistant epilepsy and monitored with intracranial electroencephalography (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 widespread connectivity fluctuations as proxy to identify concurrent local activations and global brain phenomena that may plausibly reflect a common functional network during cognition. The application of the local–global framework to the data from three subjects showed that similar connectivity fluctuations found across patients were mainly coupled to the local activity of brain areas involved in face information processing. In particular, our findings provide preliminary evidence that the reported global measures might be a novel signature of functional brain activity reorganization when a stimulus is processed in a task context regardless of the specific recorded areas.
• dc.description.sponsorship We thank all subjects for their participation in the study. We also thank Rodrigo Quian Quiroga and Hernán G. Rey for sharing some of their code to design the task paradigm. MVV was supported by a fellowship from “la Caixa” Foundation, Spain (ID 100010434, fellowship code LCF/BQ/DE17/11600022). MVV and ATC were supported by the Bial Foundation grant 106/18. GD, ATC and MVV were supported by the project “Clúster Emergent del Cervell Humà” (CECH, ref. 001-P-001682), within the framework of the European Research Development Fund Operational Program of Catalonia 2014–2020. ATC was supported by the Spanish National Research project (ref. PID2020-119072RA-I00/AEI/10.13039/501100011033) funded by the Spanish Ministry of Science, Innovation, and Universities (MCIU). GD was supported by a Spanish National Research project (ref. PID2019-105772GB-I00 MCIU AEI) funded by the Spanish Ministry of Science, Innovation, and Universities (MCIU), State Research Agency (AEI); HBP SGA3 Human Brain Project Specific Grant Agreement 3 (grant agreement no. 945539), funded by the EU H2020 FET Flagship programme; SGR Research Support Group support (ref. 2017 SGR 1545), funded by the Catalan Agency for Management of University and Research Grants (AGAUR); Neurotwin Digital twins for model-driven noninvasive electrical brain stimulation (grant agreement ID: 101017716) funded by the EU H2020 FET Proactive programme; euSNN European School of Network Neuroscience (grant agreement ID: 860563) funded by the EU H2020 MSCA-ITN Innovative Training Networks; Brain-Connects: Brain Connectivity during Stroke Recovery and Rehabilitation (ID 201725.33) funded by the Fundacio La Marato TV3; Corticity, FLAG-ERA JTC 2017 (ref. PCI2018-092891) funded by the Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI). This research was also supported by “la Caixa” Foundation (CaixaImpulse Validate Program, project ref. CI20-00195).
• dc.format.mimetype application/pdf
• dc.identifier.citation Vila‐Vidal M, Khawaja M, Carreño M, Roldán P, Rumià J, Donaire A, et al. Assessing the coupling between local neural activity and global connectivity fluctuations: application to human intracranial electroencephalography during a cognitive task. Human Brain Mapping. 2023 Feb 15;44(3):1173-92. DOI: 10.1002/hbm.26150
• dc.identifier.doi http://dx.doi.org/10.1002/hbm.26150
• dc.identifier.issn 1065-9471
• dc.identifier.uri http://hdl.handle.net/10230/56271
• dc.language.iso eng
• dc.publisher Wiley
• dc.relation.ispartof Human Brain Mapping. 2023 Feb 15;44(3):1173-92
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/945539
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/860563
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PCI2018-092891
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-I00
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-119072RA-I00
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101017716
• dc.rights © 2022 The Authors.Human Brain Mappingpublished by Wiley Periodicals LLC. This is an open access article under the terms of theCreative Commons Attribution-NonCommercial-NoDerivsLicense, which permits use and distribution in anymedium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
• dc.subject.keyword Cognitive task
• dc.subject.keyword Intracranial EEG
• dc.subject.keyword Spectral estimation
• dc.subject.keyword Local activity
• dc.subject.keyword Global connectivity
• dc.title Assessing the coupling between local neural activity and global connectivity fluctuations: application to human intracranial electroencephalography during a cognitive task
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion