Abstract
Task-based fMRI is a powerful approach to understand brain processes for a certain task. However, fMRI images are usually preprocessed hours, days or even months after the scan. During the functional image preprocessing stage, defects in images are detected and, in some cases, cannot be corrected. For example, technical problems with the scanner or lack of collaboration from the subject to perform the given tasks. For these cases it is necessary to realize a new scan. In order to mitigate lost scans due to patient non-compliance, we need an approach to detect such non-compliance during the scan.
Original language | English |
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Article number | A19 |
Number of pages | 2 |
Journal | Gigascience |
Volume | 5 |
Issue number | S1 |
Early online date | 1 Nov 2016 |
DOIs | |
Publication status | Published - Nov 2016 |
Bibliographical note
AcknowledgementsReport From 2015 Biainhack Americas (MX). The authors would like to thank the organizers and attendees of Brainhack MX and the developers of AFNI.