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Challenges in measuring brain connectivity networks alterations for clinical applications| old_uid | 15693 |
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| title | Challenges in measuring brain connectivity networks alterations for clinical applications |
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| start_date | 2018/04/13 |
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| schedule | 12h30-13h |
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| online | no |
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| details | Un temps d'échanges entre Carmen Sandi et les doctorants et post-doctorants récemment recrutés par NeuroCog, sera organisé de 13h à 14h. |
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| summary | Resting state fMRI (rs-fMRI) datasets allow the observation of the functioning brain at rest. rs-fMRI combined with graph theoretical approaches has become popular with the perspective of finding network graph metrics as biomarkers in the context of clinical studies. The acquired data consist in multivariate time series. Each time series corresponds to the recording of a specific parcel of the brain for a finite duration. Each node of the brain graph is one time series and an edge in the network is characterizing an interaction between two brain regions. Clinical application on coma patients is presented. Alterations of brain networks are not found at the global level where global topological properties of complex brain networks may be homeostatically conserved under extremely different clinical conditions. However, in every patient we found evidence for a radical reorganization of high degree or highly efficient ``hub’’ nodes. Cortical regions that were hubs of healthy brain networks had typically become non-hubs of comatose brain networks and vice versa. Thus, Consciousness likely depends on the anatomical location of hub nodes in human brain networks. |
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| responsibles | Sadoul |
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