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Role of the anterior insula in task-level control and focal attention
Open accessAbstract
In humans, the anterior insula (aI) has been the topic of considerable research and ascribed a vast number of functional properties by way of neuroimaging and lesion studies. Here, we argue that the aI, at least in part, plays a role in domain-general attentional control and highlight studies (Dosenbach et al. 2006; Dosenbach et al. 2007) supporting this view. Additionally, we discuss a study (Ploran et al. 2007) that implicates aI in processes related to the capture of focal attention. Task-level control and focal attention may or may not reflect information processing supported by a single functional area (within the aI). Therefore, we apply a novel technique (Cohen et al. 2008) that utilizes resting state functional connectivity MRI (rs-fcMRI) to determine whether separable regions exist within the aI. rs-fcMRI mapping suggests that the ventral portion of the aI is distinguishable from more dorsal/anterior regions, which are themselves distinct from more posterior parts of the aI. When these regions are applied to functional MRI (fMRI) data, the ventral and dorsal/anterior regions support processes potentially related to both task-level control and focal attention, whereas the more posterior aI regions did not. These findings suggest that there exists some functional heterogeneity within aI that may subserve related but distinct types of higher-order cognitive processing.
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In the citing paper
“Indeed, meta-analyses indicate that it is among the most frequently reported areas of activation in functional MRI research (Clark-Polner et al., 2016; Nelson et al., 2010; Yarkoni et al., 2011), with reported activations in processes including pain, emotion, reward, conflict monitoring, error detection, memory, and social cognition (Beckmann et al., 2009; Wager et al., 2016).”
From Motivation in the Service of Allostasis: The Role of Anterior Mid-Cingulate Cortex (2019) · cites this paper as Nelson et al., 2010
Experimental — accuracy not yet measuredIn the citing paper
“The aIns is a central hub in the brain and is one of the most commonly activated areas in human neuroimaging studies (Nelson et al., 2010).”
From Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development (2015) · cites this paper as Nelson et al., 2010
In the citing paper
“This is also in line with the assumption that the aIns is involved when a feedback is processed consciously (Nelson et al., 2010; Wheeler et al., 2008).”
From Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development (2015) · cites this paper as Nelson et al., 2010
In the citing paper
“It is well known that aIns activity often coincides with activation in the dmPFC (cf. Hauser et al., 2014a, 2014b; Nelson et al., 2010; Seymour et al., 2004).”
From Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development (2015) · cites this paper as Nelson et al., 2010
In the citing paper
“Unsurprisingly, the aIns has been ascribed to a wide variety of functions from processing visceral and emotional information (Critchley, 2005) to controlling attention and task demands (Dosenbach et al., 2006, 2007; Nelson et al., 2010).”
From Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development (2015) · cites this paper as Nelson et al., 2010
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Metadata
- Authors
- Nelson, S. M., Dosenbach, N. U. F., Cohen, A. L., Wheeler, M. E., Schlaggar, B. L., & Petersen, S. E.
- Affiliations
- Washington University in St. Louis (US)
- University of Pittsburgh (US)
- Corresponding author
- Nelson, Steven M.
- Venue
- Brain Structure and Function
- Published
- 2010-05-29
- Volume
- 214
- Issue
- 5-6
- Pages
- 669-680
- ISSN
- 1863-2653 (ISSN-L)
- 1863-2661
- PMC
- PMC2886908
- OpenAlex
- W1973254033
- Cited by
- 435
- References
- 65
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 15 · 2023: 20 · 2022: 28 · 2021: 23 · 2020: 26 · 2019: 25 · 2018: 34 · 2017: 31 · 2016: 37 · 2015: 41 · 2014: 31 · 2013: 48 · 2012: 28
- FWCI
- 2.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Brain Structure and Function (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (R01NS046424, K02NS053425, F30NS062489, NS46424, NS61144, NS62489, NS 41255, R21NS041255, NS53425, R21NS061144)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD057076, HD57076)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- anterior insula, task-level control, focal attention, resting-state functional connectivity, functional heterogeneity, cognitive control, attentional capture
- MeSH terms
- Attention, Brain Mapping, Cerebral Cortex, Cognition, Magnetic Resonance Imaging, Nerve Net, Neural Pathways, Executive Function
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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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