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Functional connectivity between ventral and dorsal frontoparietal networks underlies stimulus-driven and working memory-driven sources of visual distraction
- Source :
- NeuroImage. 84:290-298
- Publication Year :
- 2014
- Publisher :
- Elsevier BV, 2014.
-
Abstract
- We investigate the neural basis of two routes to visual distraction: salient stimuli capture attention in a bottom-up fashion and the reappearance of task-irrelevant items that are being actively maintained in working memory can lead to distraction via top-down, but automatic, guidance of attention. Bottom-up, stimulus-driven distraction has typically been associated with a ventral network incorporating the inferior frontal gyrus and temporoparietal junction. A dorsal network including the superior frontal gyrus, superior parietal cortex and intraparietal sulcus is known to underlie the voluntary, top-down control of attention. Here we show that the ventral attention network may be modulated in a top-down manner by task-irrelevant memory signals. Furthermore, we delineate how the biasing of attention by these bottom-up and top-down sources of visual distraction is modulated by changes in connectivity among critical nodes of ventral and dorsal frontoparietal regions. The findings further our understanding of the neural circuitry that mediates the control of human visual attention. Medical Research Council
- Subjects :
- Adult
Male
Adolescent
Cognitive Neuroscience
Temporoparietal junction
Inferior frontal gyrus
Intraparietal sulcus
Stimulus (physiology)
behavioral disciplines and activities
Conflict, Psychological
Young Adult
Parietal Lobe
Distraction
Biological neural network
medicine
Humans
Attention
Visual attention
Brain Mapping
Working memory
fMRI
Top-down
Frontal Lobe
Memory, Short-Term
medicine.anatomical_structure
Neurology
Superior frontal gyrus
Visual Perception
Female
Bottom-up
Cues
Nerve Net
Dorsal and ventral networks
Psychology
Neuroscience
Photic Stimulation
psychological phenomena and processes
Cognitive psychology
Subjects
Details
- ISSN :
- 10538119
- Volume :
- 84
- Database :
- OpenAIRE
- Journal :
- NeuroImage
- Accession number :
- edsair.doi.dedup.....11b065bb397d359457206bbbd2ff8f1a
- Full Text :
- https://doi.org/10.1016/j.neuroimage.2013.08.060