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Combining structural and functional neuroimaging data for studying brain connectivity: A review

期刊

PSYCHOPHYSIOLOGY
卷 45, 期 2, 页码 173-187

出版社

WILEY
DOI: 10.1111/j.1469-8986.2007.00621.x

关键词

functional connectivity; anatomical connectivity; multimodal integration; diffusion tensor imaging (DTI); magnetic resonance imaging (MRI)

资金

  1. NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH080182] Funding Source: NIH RePORTER
  2. NATIONAL INSTITUTE ON AGING [R01AG021887] Funding Source: NIH RePORTER
  3. NIA NIH HHS [AG 21887] Funding Source: Medline
  4. NIMH NIH HHS [R01 MH080182, MH 080182, R01 MH080182-01] Funding Source: Medline

向作者/读者索取更多资源

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.

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