Multiple trials in event related fMRI for different conditions

• Published in: 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) pp. 315 - 319
• Main Authors: Zafar, Raheel, Malik, Aamir Saeed, Shuaibu, Aliyu Nuhu, Javvad ur Rehman, M., Dass, Sarat C.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2017
• Subjects: Conferences; Electroencephalography; Event related design; fMRI; Image processing; multiple trials; Support vector machines; SVM; voxels
• DOI: 10.1109/ICSIPA.2017.8120628

Experiment design has a key role in the functional magnetic resonance imaging (fMRI) data analyses. Block designs are suitable to localize functional areas but are not able to measure the transient changes in the brain activity. Event related design is a better approach and saves time and resources like single trial analyses. In this study, we explored the event related design with single, and multi trials with different order. In multi trials, instead of using lot of trials, we did analyses with two trials per image. The result suggest that the combination of multiple trials, order of trials and selection of significant voxels can give better results in terms of classification accuracy. Moreover, single and two trials per image saves resources as compared to many trials.