Spatial parcellations, spectral filtering and connectivity measures in fMRI optimizing for discrimination
The dataset includes 15 subjects x 5 steady state conditions. Connectivity data has been computed using FSLNETS with the following options: - Timeseries from a set of 33 ROIs derived from functional data (Study-ROIs). - Correlation as dependency measures. - No bandpass filtering. The connectivity_...
Autors principals: | Duff, E, Sala, R |
---|---|
Format: | Dataset |
Publicat: |
University of Oxford
2018
|
Ítems similars
-
Spatial parcellations, spectral filtering, and connectivity measures in fMRI: Optimizing for discrimination
per: Sala-Llonch, R, et al.
Publicat: (2018) -
Hippocampus Parcellation via Discriminative Embedded Clustering of fMRI Functional Connectivity
per: Limin Peng, et al.
Publicat: (2023-05-01) -
Spatially constrained hierarchical parcellation of the brain with resting-state fMRI.
per: Blumensath, T, et al.
Publicat: (2013) -
Which fMRI clustering gives good brain parcellations?
per: Bertrand eThirion, et al.
Publicat: (2014-07-01) -
Gender discrimination facilitates fMRI responses and connectivity to thermal pain
per: Zhang, M, et al.
Publicat: (2021)