Metrics
69 Record Views
Journal article
Discovering effective connectivity among brain regions from functional MRI data
International journal of computers in healthcare, Vol.1(1), pp.86-102
01/01/2010
Abstract
Functional magnetic resonance imaging (fMRI) data have been used for identifying brain regions that activate when a subject is presented a stimulus or performs a task. Beyond identifying which regions of the brain are active during a task, it is also of interest to discover causal relationships among activity in those regions, that is, which regions of the brain influence, which other regions of the brain during a task. Two algorithms for causal discovery were applied to fMRI data, the greedy equivalence search (GES) algorithm and the independent multiple-sample greedy equivalence search (iMAGES). GES applies to individual datasets, and iMAGES to multiple datasets. We consider the stability of the GES results across subjects and experimental repetitions with the same subject. We find that some iMAGES connections agree with previous knowledge of the functional roles of the brain regions. The strengths and limitations of the research work and opportunities for future work are also discussed.
Details
- Title
- Discovering effective connectivity among brain regions from functional MRI data
- Publication Details
- International journal of computers in healthcare, Vol.1(1), pp.86-102
- Resource Type
- Journal article
- Publisher
- Inderscience Publishers
- Format
- link
- Copyright
- Copyright © 2010 Inderscience Enterprises Ltd.
- Identifiers
- 99380461296406600
- Academic Unit
- Center for Cybersecurity; Center for Teaching, Learning, and Technology; College of Arts, Social Sciences, and Humanities
- Language
- English