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Multi-subject Manifold Alignment of Functional Network Structures via Joint Diagonalization.
- Source :
-
Information processing in medical imaging : proceedings of the ... conference [Inf Process Med Imaging] 2015; Vol. 24, pp. 462-73. - Publication Year :
- 2015
-
Abstract
- Functional magnetic resonance imaging group studies rely on the ability to establish correspondence across individuals. This enables location specific comparison of functional brain characteristics. Registration is often based on morphology and does not take variability of functional localization into account. This can lead to a loss of specificity, or confounds when studying diseases. In this paper we propose multi-subject functional registration by manifold alignment via coupled joint diagonalization. The functional network structure of each subject is encoded in a diffusion map, where functional relationships are decoupled from spatial position. Two-step manifold alignment estimates initial correspondences between functionally equivalent regions. Then, coupled joint diagonalization establishes common eigenbases across all individuals, and refines the functional correspondences. We evaluate our approach on fMRI data acquired during a language paradigm. Experiments demonstrate the benefits in matching accuracy achieved by coupled joint diagonalization compared to previously proposed functional alignment approaches, or alignment based on structural correspondences.
- Subjects :
- Algorithms
Humans
Image Enhancement methods
Image Interpretation, Computer-Assisted methods
Reproducibility of Results
Sensitivity and Specificity
Brain physiology
Brain Mapping methods
Language
Magnetic Resonance Imaging methods
Nerve Net physiology
Pattern Recognition, Automated methods
Subtraction Technique
Subjects
Details
- Language :
- English
- ISSN :
- 1011-2499
- Volume :
- 24
- Database :
- MEDLINE
- Journal :
- Information processing in medical imaging : proceedings of the ... conference
- Publication Type :
- Academic Journal
- Accession number :
- 26221695
- Full Text :
- https://doi.org/10.1007/978-3-319-19992-4_36