Combining structural and functional neuroimaging data for studying brain connectivity: A review
| Autor: | Elena Rykhlevskaia, Gabriele Gratton, Monica Fabiani |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Endocrine and Autonomic Systems
Cognitive Neuroscience General Neuroscience Functional connectivity Brain morphometry Brain Brain Structure and Function Experimental and Cognitive Psychology Cognition Diffusion Magnetic Resonance Imaging Neuropsychology and Physiological Psychology Anatomical connectivity Developmental Neuroscience Neurology Neuroimaging Functional neuroimaging Neural Pathways Image Processing Computer-Assisted Humans Psychology Neuroscience Biological Psychiatry Diffusion MRI |
| Zdroj: | Psychophysiology. 45:173-187 |
| ISSN: | 1469-8986 0048-5772 |
| Popis: | Different brain areas are thought to be integrated into large-scale networks to support cognitive function. Recent approaches for investigating structural organization and functional coordination within these networks involve measures of connectivity among brain areas. We review studies combining in vivo structural and functional brain connectivity data, where (a) structural connectivity analysis, mostly based on diffusion tensor imaging is paired with voxel-wise analysis of functional neuroimaging data or (b) the measurement of functional connectivity based on covariance analysis is guided/aided by structural connectivity data. These studies provide insights into the relationships between brain structure and function. Promising trends involve (a) studies where both functional and anatomical connectivity data are collected using high-resolution neuroimaging methods and (b) the development of advanced quantitative models of integration. |
| Databáze: | OpenAIRE |
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