Brain connectivity and visual attention.

Published

Journal Article (Review)

Emerging hypotheses suggest that efficient cognitive functioning requires the integration of separate, but interconnected cortical networks in the brain. Although task-related measures of brain activity suggest that a frontoparietal network is associated with the control of attention, little is known regarding how components within this distributed network act together or with other networks to achieve various attentional functions. This review considers both functional and structural studies of brain connectivity, as complemented by behavioral and task-related neuroimaging data. These studies show converging results: The frontal and parietal cortical regions are active together, over time, and identifiable frontoparietal networks are active in relation to specific task demands. However, the spontaneous, low-frequency fluctuations of brain activity that occur in the resting state, without specific task demands, also exhibit patterns of connectivity that closely resemble the task-related, frontoparietal attention networks. Both task-related and resting-state networks exhibit consistent relations to behavioral measures of attention. Further, anatomical structure, particularly white matter pathways as defined by diffusion tensor imaging, places constraints on intrinsic functional connectivity. Lastly, connectivity analyses applied to investigate cognitive differences across individuals in both healthy and diseased states suggest that disconnection of attentional networks is linked to deficits in cognitive functioning, and in extreme cases, to disorders of attention. Thus, comprehensive theories of visual attention and their clinical translation depend on the continued integration of behavioral, task-related neuroimaging, and brain connectivity measures.

Full Text

Duke Authors

Cited Authors

  • Parks, EL; Madden, DJ

Published Date

  • 2013

Published In

Volume / Issue

  • 3 / 4

Start / End Page

  • 317 - 338

PubMed ID

  • 23597177

Pubmed Central ID

  • 23597177

Electronic International Standard Serial Number (EISSN)

  • 2158-0022

Digital Object Identifier (DOI)

  • 10.1089/brain.2012.0139

Language

  • eng

Conference Location

  • United States