| Studente | Piotto, Irene |
| Facoltà/Dipartimento | Scuola di Ingegneria |
| ???if.relation.course.label??? | BIOINGEGNERIA |
| ???if.relation.academicyear.label??? | 2019-07-09 |
| Titolo originale | Application of spatial and temporal ICA on resting state fmri data to remove motion-related noise |
| 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. |
| ???if.keyword.label??? | fmri |
| ???if.supervisor.label??? | Bertoldo, Alessandra |
| Appare nelle tipologie: | Lauree magistrali |
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| File | Dimensione | Formato | |
|---|---|---|---|
| piotto_irene_tesi.pdf | 4.11 MB | Adobe PDF | Visualizza/Apri |
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Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/20.500.12608/28056
