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[Magnetic resonance imaging postprocessing techniques in the study of brain connectivity].
M de la Iglesia-Vayá1, J Molina-Mateo, M J Escarti-Fabra
1Grupo de Informática Biomédica, IBIME, Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones avanzadas, Instituto ITACA, Universidad Politécnica de Valencia, Centro de Excelencia de Imagen Biomédica. Hospital la Fe, Conselleria de Sanitat, Valencia. maigva@itaca.upv.es
This review explores magnetic resonance imaging techniques for measuring brain connectivity, crucial for understanding brain disorders. Findings from structural, functional, and effective connectivity analyses are integrated within the Human Connectome Project.
Area of Science:
- Neuroimaging
- Brain Connectivity
- Human Connectome Project
Context:
- Understanding brain function and neurological disorders relies on quantifying brain connectivity.
- Magnetic resonance imaging (MRI) offers advanced techniques for this purpose.
- The Human Connectome Project (HCP) provides a framework for integrating these methods.
Purpose:
- To critically review MRI techniques for measuring brain connectivity.
- To cover structural, functional, and effective connectivity approaches.
- To highlight the integration of these methods within the HCP.
Summary:
- Reviews MRI techniques for structural connectivity (SC), functional connectivity (FC), and effective connectivity (EC).
- Discusses methods like ICA, seed voxel, psychophysiological interactions, and DCM.
- Emphasizes the need for validation and integration of findings.
Impact:
- Provides a comprehensive overview of MRI-based brain connectivity analysis.
- Facilitates a deeper understanding of brain function and pathophysiology.
- Supports the goals of the Human Connectome Project in mapping brain connections.
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