The aim of the present study is to implement Glasser’s method, in particular the focus of this thesis is to select and remove motion-related noise sources. In order to evaluate the effectiveness of implemented method on motion problem on rs-fmri data, it will be compared the results before and after tICA cleanup in terms of motion traces and functional connectivity.
Application of spatial and temporal ICA on resting state fmri data to remove motion-related noise
Piotto, Irene
2019/2020
Abstract
The aim of the present study is to implement Glasser’s method, in particular the focus of this thesis is to select and remove motion-related noise sources. In order to evaluate the effectiveness of implemented method on motion problem on rs-fmri data, it will be compared the results before and after tICA cleanup in terms of motion traces and functional connectivity.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/28056