Brain connectivity and visual attention.

dc.contributor.author

Parks, Emily L

dc.contributor.author

Madden, David J

dc.date.accessioned

2023-06-01T15:03:11Z

dc.date.available

2023-06-01T15:03:11Z

dc.date.issued

2013-01

dc.date.updated

2023-06-01T15:03:10Z

dc.description.abstract

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.

dc.identifier.issn

2158-0014

dc.identifier.issn

2158-0022

dc.identifier.uri

https://hdl.handle.net/10161/27510

dc.language

eng

dc.publisher

Mary Ann Liebert Inc

dc.relation.ispartof

Brain connectivity

dc.relation.isversionof

10.1089/brain.2012.0139

dc.subject

Brain

dc.subject

Frontal Lobe

dc.subject

Parietal Lobe

dc.subject

Nerve Net

dc.subject

Humans

dc.subject

Neurodegenerative Diseases

dc.subject

Positron-Emission Tomography

dc.subject

Magnetic Resonance Imaging

dc.subject

Brain Mapping

dc.subject

Cognition

dc.subject

Memory, Short-Term

dc.subject

Visual Perception

dc.subject

Attention

dc.subject

Cognition Disorders

dc.subject

Neuropsychological Tests

dc.subject

Age Factors

dc.subject

Diffusion Tensor Imaging

dc.subject

Executive Function

dc.title

Brain connectivity and visual attention.

dc.type

Journal article

duke.contributor.orcid

Madden, David J|0000-0003-2815-6552

pubs.begin-page

317

pubs.end-page

338

pubs.issue

4

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Psychiatry & Behavioral Sciences

pubs.organisational-group

Psychology & Neuroscience

pubs.organisational-group

Thompson Writing Program

pubs.organisational-group

Institutes and Provost's Academic Units

pubs.organisational-group

University Institutes and Centers

pubs.organisational-group

Duke Institute for Brain Sciences

pubs.organisational-group

Center for Cognitive Neuroscience

pubs.organisational-group

Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences

pubs.publication-status

Published

pubs.volume

3

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Parks and Madden 2013 Brain Connectivity.pdf
Size:
955.47 KB
Format:
Adobe Portable Document Format
Description:
Published version