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Fiber Pathways of Attention Subnetworks Revealed with Tract-Based Spatial Statistics (TBSS) and Probabilistic Tractography
- Source :
- PLoS ONE, PLoS ONE, Vol 8, Iss 11, p e78831 (2013)
- Publication Year :
- 2013
- Publisher :
- Public Library of Science (PLoS), 2013.
-
Abstract
- It has been widely accepted that attention can be divided into three subnetworks - alerting, orienting and executive control (EC), and the subnetworks of attention are linked to distinct brain regions. However, the association between specific white matter fibers and the subnetworks of attention is not clear enough. Using diffusion tensor imaging (DTI), the white matter connectivity related to the performance of attention was assessed by attention network test (ANT) in 85 healthy adolescents. Tract-based spatial statistics (TBSS) and probabilistic diffusion tractography analysis demonstrated that cerebellothalamic tract was involved in alerting, while orienting depended upon the superior longitudinal fasciculus (SLF). In addition, EC was under the control of anterior corona radiata (ACR). Our findings suggest that different fiber pathways are involved in the three distinct subnetworks of attention. The current study will yield more precise information about the structural substrates of attention function and may aid the efforts to understand the neurophysiology of several attention disorders.
- Subjects :
- Male
Adolescent
Nerve net
Statistics as Topic
lcsh:Medicine
Neuropsychological Tests
Biology
Brain mapping
White matter
Young Adult
Nerve Fibers
Corona radiata
Neural Pathways
medicine
Humans
Attention
Diffusion Tractography
lcsh:Science
Probability
Brain Mapping
Multidisciplinary
lcsh:R
Superior longitudinal fasciculus
Brain
Neurophysiology
Diffusion Tensor Imaging
medicine.anatomical_structure
lcsh:Q
Female
Nerve Net
Neuroscience
Psychomotor Performance
Research Article
Diffusion MRI
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....bd5c78863a9dddfe70351740bf1a3421