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dc.contributor.authorFernández-Iriondo, Izaro
dc.contributor.authorMuñoz Martínez, Miguel Ángel 
dc.date.accessioned2021-07-01T10:40:15Z
dc.date.available2021-07-01T10:40:15Z
dc.date.issued2021
dc.identifier.citationPublisher version: Fernandez-Iriondo, A. Jimenez-Marin, I. Diez et al., Small variation in dynamic functional connectivity in cerebellar networks, Neurocomputing [https://doi.org/10.1016/j.neucom.2020.09.092]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/69457
dc.descriptionA.J.M. acknowledges financial support from a predoctoral grant from the Basque Government (PRE_2019_1_0070). J.M.C. and P.B. acknowledge financial support from Ikerbasque (The Basque Foundation for Science) and from the Ministerio Economia, Industria y Competitividad (Spain) and FEDER (grant DPI2016-79874-R to J.M.C., grant SAF2015-69484-R to P.B.). J.M.C. acknowledges financial support from the Department of Economical Development and Infrastructure of the Basque Country (Elkartek Program, KK-2018/00032 and KK-2018/00090). S.P.S was supported by the the FWO Research Foundation Flanders (G089818N), the Excellence of Science funding competition (EOS; 30446199) and the KU Leuven Special Research Fund (grant C16/15/070). M.A.M acknowledges financial support from the Spanish Ministry and Agencia Estatal de investigación (AEI) through grant FIS2017-84256-P (European Regional Development Fund), as well as the Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía and European Regional Development Fund (ERDF), ref. SOMM17/6105/UGR for financial support.es_ES
dc.description.abstractBrain networks can be defined and explored through their connectivity. Here, we analyzed the relationship between structural connectivity (SC) across 2,514 regions that cover the entire brain and brainstem, and their dynamic functional connectivity (DFC). To do so, we focused on a combination of two metrics: the first assesses the degree of SC-DFC similarity –i.e. the extent to which the dynamic functional correlations can be explained by structural pathways–; and the second is the intrinsic variability of the DFC networks over time. Overall, we found that cerebellar networks have a smaller DFC variability than other networks in the brain. Moreover, the internal structure of the cerebellum could be clearly divided in two distinct posterior and anterior parts, the latter also connected to the brainstem. The mechanism to maintain small variability of the DFC in the posterior part of the cerebellum is consistent with another of our findings, namely, that this structure exhibits the highest SC-DFC similarity relative to the other networks studied, i.e. structure constrains the variation in dynamics. By contrast, the anterior part of the cerebellum also exhibits small DFC variability but it has the lowest SC-DFC similarity, suggesting a different mechanism is at play. Because this structure connects to the brainstem, which regulates sleep cycles, cardiac and respiratory functioning, we suggest that such critical functionality drives the low variability in the DFC. Overall, the low variability detected in DFC expands our current knowledge of cerebellar networks, which are extremely rich and complex, participating in a wide range of cognitive functions, from movement control and coordination to executive function or emotional regulation. Moreover, the association between such low variability and structure suggests that differentiated computational principles can be applied in the cerebellum as opposed to other structures, such as the cerebral cortex.es_ES
dc.description.sponsorshipConsejería de Conocimientoes_ES
dc.description.sponsorshipExcellence of Science 30446199es_ES
dc.description.sponsorshipInvestigación y Universidad, Junta de Andalucíaes_ES
dc.description.sponsorshipKU Leuven Special Research Fund C16/15/070es_ES
dc.description.sponsorshipSpanish Ministryes_ES
dc.description.sponsorshipEusko Jaurlaritza PRE_2019_1_0070es_ES
dc.description.sponsorshipFonds Wetenschappelijk Onderzoek G089818N FWOes_ES
dc.description.sponsorshipIkerbasque, Basque Foundation for Sciencees_ES
dc.description.sponsorshipEuropean Regional Development Fund DPI2016-79874-R,KK-2018/00032,SAF2015-69484-R ERDFes_ES
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad, Gobierno de España MINECOes_ES
dc.description.sponsorshipAgencia Estatal de Investigación FIS2017-84256-P AEIes_ES
dc.description.sponsorshipConsejería de Conocimiento, Investigación y Universidad, Junta de Andalucía SOMM17/6105/UGRes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectDynamic functional connectivityes_ES
dc.subjectStructural connectivityes_ES
dc.subjectAnterior Cerebellumes_ES
dc.subjectPosterior Cerebellumes_ES
dc.subjectResting-statees_ES
dc.titleSmall variation in dynamic functional connectivity in cerebellar networkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.neucom.2020.09.092
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersiones_ES


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