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- W3149341745 abstract "The neuroimaging community has shown tremendous interest in exploring the brain’s spontaneous activity using fMRI. On the contrary, the spinal cord has been largely overlooked despite its pivotal role in processing sensorimotor signals. Only a handful of studies have probed the organization of spinal resting-state fluctuations, always using static measures of connectivity. Interestingly, many innovative approaches have emerged to analyze dynamics of brain fMRI but they have not yet been applied to the spinal cord, although they could help disentangle its functional architecture. Here, we leveraged a dynamic connectivity method based on the clustering of hemodynamic-informed transients to unravel the rich dynamic organization of spinal resting-state signals. We tested this approach in 19 healthy subjects, uncovering fine-grained spinal components and highlighting their neuroanatomical and physiological nature. We provide a versatile tool, SPiCiCAP, to characterize spinal circuits during rest and task, as well as their disruption in neurological disorders." @default.
- W3149341745 created "2021-04-13" @default.
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- W3149341745 date "2020-01-01" @default.
- W3149341745 modified "2023-09-30" @default.
- W3149341745 title "Dynamic Functional Connectivity of Resting-State Spinal Cord fMRI Reveals Fine-Grained Intrinsic Architecture" @default.
- W3149341745 doi "https://doi.org/10.2139/ssrn.3600549" @default.
- W3149341745 hasPublicationYear "2020" @default.
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