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Large-scale network dynamics underlying the first few hundred milliseconds after stimulus presentation: An investigation of visual recognition memory using iEEG
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SYSNO ASEP 0576548 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Large-scale network dynamics underlying the first few hundred milliseconds after stimulus presentation: An investigation of visual recognition memory using iEEG Tvůrce(i) Kopal, Jakub (UIVT-O) RID, ORCID, SAI
Hlinka, Jaroslav (UIVT-O) RID, SAI, ORCID
Despouy, E. (FR)
Valton, L. (FR)
Denuelle, M. (FR)
Sol, J.-Ch. (FR)
Curot, J. (FR)
Barbeau, E. J. (FR)Celkový počet autorů 8 Zdroj.dok. Human Brain Mapping. - : Wiley - ISSN 1065-9471
Roč. 44, č. 17 (2023), s. 5795-5809Poč.str. 15 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova connectivity ; dynamics ; intracranial EEG ; network ; recognition memory Obor OECD Neurosciences (including psychophysiology CEP GA19-11753S GA ČR - Grantová agentura ČR Způsob publikování Open access Institucionální podpora UIVT-O - RVO:67985807 UT WOS 001064434300001 EID SCOPUS 85170521754 DOI 10.1002/hbm.26477 Anotace Recognition memory is the ability to recognize previously encountered objects. Even this relatively simple, yet extremely fast, ability requires the coordinated activity of large-scale brain networks. However, little is known about the sub-second dynamics of these networks. The majority of current studies into large-scale network dynamics is primarily based on imaging techniques suffering from either poor temporal or spatial resolution. We investigated the dynamics of large-scale functional brain networks underlying recognition memory at the millisecond scale. Specifically, we analyzed dynamic effective connectivity from intracranial electroencephalography while epileptic subjects (n = 18) performed a fast visual recognition memory task. Our data-driven investigation using Granger causality and the analysis of communities with the Louvain algorithm spotlighted a dynamic interplay of two large-scale networks associated with successful recognition. The first network involved the right visual ventral stream and bilateral frontal regions. It was characterized by early, predominantly bottom-up information flow peaking at 115 ms. It was followed by the involvement of another network with predominantly top-down connectivity peaking at 220 ms, mainly in the left anterior hemisphere. The transition between these two networks was associated with changes in network topology, evolving from a more segregated to a more integrated state. These results highlight that distinct large-scale brain networks involved in visual recognition memory unfold early and quickly, within the first 300 ms after stimulus onset. Our study extends the current understanding of the rapid network changes during rapid cognitive processes. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2024 Elektronická adresa https://dx.doi.org/10.1002/hbm.26477
Počet záznamů: 1