A hybrid inter and intra subject model for FMRI analysis
- Resource Type
- Conference
- Authors
- Albughdadi, Mohanad; Chaari, Lotfi; Tourneret, Jean-Yves
- Source
- 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME) Biomedical Engineering (MECBME), 2018 IEEE 4th Middle East Conference on. :72-77 Mar, 2018
- Subject
- Bioengineering
Signal Processing and Analysis
Brain modeling
Functional magnetic resonance imaging
Estimation
Analytical models
Data models
Task analysis
Conferences
fMRI
group-level analysis
subject-level analysis
hybrid analysis
HRF
parcellation
VEM
- Language
- ISSN
- 2165-4255
Nowadays fMRI studies are generally conducted over cohorts of individuals in order to study brain activity across different areas and using various stimuli. This paper generalizes a joint parcellation detection estimation (JPDE) model in order to perform an inter and intra subject analysis. The proposed approach allows one to estimate group and subject-level parcellations as well as the corresponding underlying dynamics. Moreover, it allows detecting the evoked activity for each individual. The proposed model is evaluated using synthetic and real fMRI data from a group study.