The DOI matches its Crossref record; 77 of the 83 references it cites were found in a registry or an index.
Imaging attention networks
Open accessAbstract
The study of attention has largely been about how to select among the various sensory events but also involves the selection among conflicting actions. Prior to the late 1980s, locating bottlenecks between sensory input and response dominated these studies, a different view was that attentional limits involved the importance of maintaining behavioral coherence rather than resulting from a bottleneck. In both cases ideas of resource limits taken over from economics were important. Early evidence relating to the anatomy of attention came from neurological investigations of lesioned patients, but the major impetus for the anatomical approach came from neuroimaging studies that provided evidence of brain networks related to orienting to sensory events and control of response tendencies. The presence of a functional anatomy has supported studies of the development of attention networks and the role of neuromodulators and genetic polymorphisms in their construction. Together these developments have enhanced our understanding of attention and paved the way for significant applications to education, pathology and prevention of mental illness.
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“The anterior cingulate cortex is implied as a critical region for executive attention, cognitive control, and self-regulation (15, 22, 48, 49)”
From Multimodal imaging of the self-regulating developing brain (2012) · cites this paper as [22]
In the citing paper
“The work by Posner (22) suggests that the anterior cingulate cannot exercise full control of other networks until longer connections form during childhood.”
From Multimodal imaging of the self-regulating developing brain (2012) · cites this paper as [22]
In the citing paper
“Evidence has converged on an executive attention network, with the anterior cingulate being the central structure, as the major network responsible for resolving cognitive conflicts (21, 22).”
From Multimodal imaging of the self-regulating developing brain (2012) · cites this paper as [22]
In the citing paper
“Improvement in cognitive control and self-regulation may be tightly coupled to differentiation of the executive attentional subsystem from other attentional networks in the brain, likely depending on maturation of major long-distance projection tracts and enabling anterior cingulate and likely, other prefrontal structures to take more dominating roles (22).”
From Multimodal imaging of the self-regulating developing brain (2012) · cites this paper as [22]
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Metadata
- Authors
- Posner, M. I.
- Affiliations
- University of Oregon (US)
- Corresponding author
- Posner, Michael I.
- ORCID
- Posner, Michael I.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 61
- Issue
- 2
- Pages
- 450-456
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3345293
- OpenAlex
- W2091407755
- Cited by
- 151
- References
- 83
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 10 · 2023: 8 · 2022: 11 · 2021: 9 · 2020: 13 · 2019: 5 · 2018: 9 · 2017: 12 · 2016: 13 · 2015: 17 · 2014: 17 · 2013: 11 · 2012: 4
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P01HD060563)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- attention, attentional networks, orienting, response control, resource constraints, neuromodulators, genetic polymorphism, attention development, lesion studies, mental illness prevention
- MeSH terms
- Attention, Mental Disorders, Humans, Individuality, Models, Neurological, Nerve Net, Neurotransmitter Agents, Executive Function, Neuroimaging
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