Multiple neuronal networks mediate sustained attention
Abstract
Sustained attention deficits occur in several neuropsychiatric disorders. However, the underlying neurobiological mechanisms are still incompletely understood. To that end, functional MRI was used to investigate the neural substrates of sustained attention (vigilance) using the rapid visual information processing (RVIP) task in 25 healthy volunteers. In order to better understand the neural networks underlying attentional abilities, brain regions where task-induced activation correlated with task performance were identified. Performance of the RVIP task activated a network of frontal, parietal, occipital, thalamic, and cerebellar regions. Deactivation during task performance was seen in the anterior and posterior cingulate, insula, and the left temporal and parahippocampal gyrus. Good task performance, as defined by better detection of target stimuli, was correlated with enhanced activation in predominantly right fronto-parietal regions and with decreased activation in predominantly left temporo-limbic and cingulate areas. Factor analysis revealed that these performance-correlated regions were grouped into two separate networks comprised of positively activated and negatively activated intercorrelated regions. Poor performers failed to significantly activate or deactivate these networks, whereas good performers either activated the positive or deactivated the negative network, or did both. The fact that both increased activation of task-specific areas and increased deactivation of task-irrelevant areas mediate cognitive functions underlying good RVIP task performance suggests two independent circuits, presumably reflecting different cognitive strategies, can be recruited to perform this vigilance task.
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RVP A' is associated with activity in neural networks including frontal and striatal regions.
“The selection of RVP A’ to measure attentional performance in this study is supported by evidence that this parameter (i) is a suitable ADHD endophenotype (Gau and Huang, 2013); (ii) is associated with activity in neural networks including frontal and striatal regions (Lawrence et al., 2003)”
From A positron emission tomography study of nigro-striatal dopaminergic mechanisms underlying attention: implications for ADHD and its treatment (2013) · cites this paper as Lawrence et al., 2003
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- Authors
- Lawrence, N. S., Ross, T. J., Hoffmann, R., Garavan, H., & Stein, E. A.
- Affiliations
- Medical College of Wisconsin (US)
- Trinity College Dublin (IE)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 2003-10-01
- Volume
- 15
- Issue
- 7
- Pages
- 1028-1038
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2123719135
- Cited by
- 310
- References
- 55
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 5 · 2023: 4 · 2022: 9 · 2021: 13 · 2020: 13 · 2019: 14 · 2018: 14 · 2017: 17 · 2016: 24 · 2015: 16 · 2014: 20 · 2013: 17 · 2012: 26
- FWCI
- 3.91
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- Deutsches Krebsforschungszentrum
- National Institute on Drug Abuse (R01DA009465, DA 09465, DA14100, R01DA014100)
- National Center for Research Resources (RR00058, M01RR000058)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Keywords
- sustained attention, attentional networks, brain activation, brain deactivation, cingulate cortex, insula, parahippocampal gyrus, frontoparietal network, cognitive strategies, individual differences in attention
- MeSH terms
- Adolescent, Adult, Analysis of Variance, Attention, Brain, Female, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Psychomotor Performance
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Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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