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dc.contributor.authorCórdova-Palomera, Aldo
dc.contributor.authorTornador, Cristian
dc.contributor.authorFalcón, Carles
dc.contributor.authorBargalló, Nuria
dc.contributor.authorBrambilla, Paolo
dc.contributor.authorCrespo Facorro, Benedicto 
dc.contributor.authorDeco, Gustavo
dc.contributor.authorFañanás, Lourdes
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2019-06-04T17:08:49Z
dc.date.available2019-06-04T17:08:49Z
dc.date.issued2016
dc.identifier.issn2045-2322
dc.identifier.otherSAF2008-05674-C03-01es_ES
dc.identifier.otherSAF 2015-71526-REDTes_ES
dc.identifier.urihttp://hdl.handle.net/10902/16316
dc.description.abstractHosting nearly eighty percent of all human neurons, the cerebellum is functionally connected to large regions of the brain. Accumulating data suggest that some cerebellar resting-state alterations may constitute a key candidate mechanism for depressive psychopathology. While there is some evidence linking cerebellar function and depression, two topics remain largely unexplored. First, the genetic or environmental roots of this putative association have not been elicited. Secondly, while different mathematical representations of resting-state fMRI patterns can embed diverse information of relevance for health and disease, many of them have not been studied in detail regarding the cerebellum and depression. Here, high-resolution fMRI scans were examined to estimate functional connectivity patterns across twenty-six cerebellar regions in a sample of 48 identical twins (24 pairs) informative for depression liability. A network-based statistic approach was employed to analyze cerebellar functional networks built using three methods: the conventional approach of filtered BOLD fMRI time-series, and two analytic components of this oscillatory activity (amplitude envelope and instantaneous phase). The findings indicate that some environmental factors may lead to depression vulnerability through alterations of the neural oscillatory activity of the cerebellum during resting-state. These effects may be observed particularly when exploring the amplitude envelope of fMRI oscillations.es_ES
dc.description.sponsorshipAcknowledgements: We are indebted to the Medical Image core facility of the Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) for the technical help. L.F. was supported by the Spanish SAF2008-05674-C03-01, the European Twins Study Network on Schizophrenia Research Training Network (grant number EUTwinsS, MRTN-CT-2006-035987), the Catalan 2014SGR1636 and the Ministry of Science and Innovation (PIM2010ERN-00642) in frame of ERA-NET NEURON. L.F., N.B., P.B., B. C.-F. and A.C.-P. were supported by the Spanish Ministry of Science and Innovation (ES-EUEpiBrain, Grant SAF 2015-71526-REDT). G.D. was supported by the ERC Advanced Grant DYSTRUCTURE (n. 295129), by the FET Flagship Human Brain Project (n. 604102), by the Spanish Research Project PSI2013-42091, by the FP7-ICT BrainScaleS (n. 269921) and CORONET (n. 269459) and by EraNet Neuron SEMAINE (PCIN-2013-026). P.B. was partially supported by The Bial Foundation (Grant 262/2012). We are also grateful to all the participants, to Ximena Goldberg and Silvia Alemany for their contribution to sample collection, and to the MRI technicians César Garrido and Santi Sotés for their technical assistance.es_ES
dc.format.extent11 p.es_ES
dc.language.isoenges_ES
dc.publisherNature Publishing Groupes_ES
dc.rightsAttribution 4.0 Internationales_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceSci Rep. 2016 Nov 28;6:37384es_ES
dc.titleEnvironmental factors linked to depression vulnerability are associated with altered cerebellar resting-state synchronizationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://www.doi.org/10.1038/srep37384es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1038/srep37384
dc.type.versionpublishedVersiones_ES


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Attribution 4.0 InternationalExcept where otherwise noted, this item's license is described as Attribution 4.0 International