<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T02:01:12Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/379660" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/379660</identifier><datestamp>2026-01-21T04:38:16Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Assessing the coupling between local neural activity and global connectivity fluctuations: Application to human intracranial electroencephalography during a cognitive task</dc:title>
   <dc:creator>Vila Vidal, Manel</dc:creator>
   <dc:creator>Alkhawaja, Mariam</dc:creator>
   <dc:creator>Carreño Martínez, María del Mar</dc:creator>
   <dc:creator>Roldan Ramos, Pedro</dc:creator>
   <dc:creator>Rumià Arboix, Jordi</dc:creator>
   <dc:creator>Donaire Pedraza, Antonio Jesús</dc:creator>
   <dc:creator>Deco, Gustavo</dc:creator>
   <dc:creator>Tauste Campo, Adrián Francisco</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Física</dc:contributor>
   <dc:contributor>Universitat Politècnica de Catalunya. BIOCOM-SC - Biologia Computacional i Sistemes Complexos</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Ciències de la salut::Medicina::Neurologia</dc:subject>
   <dc:subject>Neural transmission</dc:subject>
   <dc:subject>Electroencephalography</dc:subject>
   <dc:subject>Neurotransmissió</dc:subject>
   <dc:subject>Electroencefalografia</dc:subject>
   <dc:description>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>
   <dc:description>Peer Reviewed</dc:description>
   <dc:description>Postprint (published version)</dc:description>
   <dc:date>2022-01-01</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>Vila, M. [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, vol. 44, núm. 3, p. 1173-1192.</dc:identifier>
   <dc:identifier>1097-0193</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/379660</dc:identifier>
   <dc:identifier>10.1002/hbm.26150</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>https://onlinelibrary.wiley.com/doi/10.1002/hbm.26150</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105772GB-I00/ES/TRANSICIONES ENTRE ESTADOS CEREBRALES FORZADAS POR ESTIMULACIONES EXTERNAS EN HUMANOS Y ANIMALES: ESTUDIO BASADO EN MODELOS COMPUTACIONALES/</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/EC/H2020/945539/EU/Human Brain Project Specific Grant Agreement 3/HBP SGA3</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/EC/H2020/101017716/EU/Digital twins for model-driven non-invasive electrical brain stimulation/Neurotwin</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/EC/H2020/860563/EU/European School of Network Neuroscience/euSNN</dc:relation>
   <dc:relation>201725.33</dc:relation>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
   <dc:format>application/pdf</dc:format>
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