dc.contributor.author | Fernández-Iriondo, Izaro | |
dc.contributor.author | Muñoz Martínez, Miguel Ángel | |
dc.date.accessioned | 2021-07-01T10:40:15Z | |
dc.date.available | 2021-07-01T10:40:15Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Publisher 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.uri | http://hdl.handle.net/10481/69457 | |
dc.description | A.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.abstract | Brain 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.sponsorship | Consejería de Conocimiento | es_ES |
dc.description.sponsorship | Excellence of Science
30446199 | es_ES |
dc.description.sponsorship | Investigación y Universidad, Junta de Andalucía | es_ES |
dc.description.sponsorship | KU Leuven Special Research Fund
C16/15/070 | es_ES |
dc.description.sponsorship | Spanish Ministry | es_ES |
dc.description.sponsorship | Eusko Jaurlaritza
PRE_2019_1_0070 | es_ES |
dc.description.sponsorship | Fonds Wetenschappelijk Onderzoek
G089818N FWO | es_ES |
dc.description.sponsorship | Ikerbasque, Basque Foundation for Science | es_ES |
dc.description.sponsorship | European Regional Development Fund
DPI2016-79874-R,KK-2018/00032,SAF2015-69484-R ERDF | es_ES |
dc.description.sponsorship | Ministerio de Economía, Industria y Competitividad, Gobierno de España
MINECO | es_ES |
dc.description.sponsorship | Agencia Estatal de Investigación
FIS2017-84256-P AEI | es_ES |
dc.description.sponsorship | Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía SOMM17/6105/UGR | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Dynamic functional connectivity | es_ES |
dc.subject | Structural connectivity | es_ES |
dc.subject | Anterior Cerebellum | es_ES |
dc.subject | Posterior Cerebellum | es_ES |
dc.subject | Resting-state | es_ES |
dc.title | Small variation in dynamic functional connectivity in cerebellar networks | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1016/j.neucom.2020.09.092 | |
dc.type.hasVersion | SMUR | es_ES |