Detecting task-based fMRI compliance using plan abandonment techniques

Ramon Fraga Pereira, Anibal Sólon Heinsfeld, Alexandre Rosa Franco, Augusto Buchweitz, Felipe Meneguzzi

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Article numberA19
Number of pages2
Issue numberS1
Early online date1 Nov 2016
Publication statusPublished - Nov 2016

Bibliographical note

Report From 2015 Biainhack Americas (MX). The authors would like to thank the organizers and attendees of Brainhack MX and the developers of AFNI.


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