Frontoparietal connectivity and hierarchical structure of the brain's functional network during sleep

dc.creatorSpoormaker, Victor I.
dc.creatorGleiser, Pablo Martin
dc.creatorCzisch, Michael
dc.date2012-05
dc.date.accessioned2023-08-30T23:56:59Z
dc.date.available2023-08-30T23:56:59Z
dc.identifierhttp://hdl.handle.net/11336/196510
dc.identifierSpoormaker, Victor I.; Gleiser, Pablo Martin; Czisch, Michael; Frontoparietal connectivity and hierarchical structure of the brain's functional network during sleep; Frontiers Media; Frontiers in Neurology; 3; 5-2012; 1-10
dc.identifier1664-2295
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8542948
dc.descriptionFrontal and parietal regions are associated with some of the most complex cognitive functions,and several frontoparietal resting state networks can be observed in wakefulness. We used functional magnetic resonance imaging data acquired in polysomnographically validated wakefulness, lightsleep, and slow-wave sleep to examine the hierarchical structure of frequency functional brain network, and to examine whether frontoparietal connectivity would disintegrate in sleep. Whole brain analyses with hierarchical cluster analysis on predefined atlases were performed, as well as regression of inferior parietal lobules(IPL) seeds against all voxels in the brain, and an evaluation of the integrity of voxeltime-courses in subcortical regions-of interest. We observed that frontoparietal functional connectivity disintegrated in sleepstage1 and was absent in deeper sleep stages. Slow wave sleep was characterized by strong hierarchical clustering of local submodules. Frontoparietal connectivity between IPLandsuperior medialand rightfrontal gyrus was lower in sleep stages than in wakefulness. Moreover, thalamus voxels showed maintained integrity in sleep stage1,making in trathalamic desynchronization an unlikely source of reduced thalamocortical connectivity in this sleep stage. Our data suggest a transition from a globally integrated functional brain network in wakefulness to a disintegrated network consisting of local submodules in slow wavesleep, in which frontoparietalinter modular nodes may play a role,possibly in combination with the thalamus.
dc.descriptionFil: Spoormaker, Victor I.. Max Planck Institute Of Psychiatry; Alemania
dc.descriptionFil: Gleiser, Pablo Martin. Comisión Nacional de Energía Atómica. Gerencia del Área de Investigación y Aplicaciones No Nucleares. Gerencia de Física (Centro Atómico Bariloche); Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina
dc.descriptionFil: Czisch, Michael. Max Planck Institute Of Psychiatry; Alemania
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherFrontiers Media
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fneur.2012.00080/full
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.3389/fneur.2012.00080
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subjectCLUSTERING
dc.subjectFMRI
dc.subjectFRONTOPARIETAL
dc.subjectHIERARCHY
dc.subjectNETWORK
dc.subjectSLEEP
dc.subjecthttps://purl.org/becyt/ford/1.3
dc.subjecthttps://purl.org/becyt/ford/1
dc.titleFrontoparietal connectivity and hierarchical structure of the brain's functional network during sleep
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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