The DOI matches its Crossref record; 62 of the 63 references it cites were found in a registry or an index.
Dissociable Roles of Right Inferior Frontal Cortex and Anterior Insula in Inhibitory Control: Evidence from Intrinsic and Task-Related Functional Parcellation, Connectivity, and Response Profile Analyses across Multiple Datasets
Open accessAbstract
The right inferior frontal cortex (rIFC) and the right anterior insula (rAI) have been implicated consistently in inhibitory control, but their differential roles are poorly understood. Here we use multiple quantitative techniques to dissociate the functional organization and roles of the rAI and rIFC. We first conducted a meta-analysis of 70 published inhibitory control studies to generate a commonly activated right fronto-opercular cortex volume of interest (VOI). We then segmented this VOI using two types of features: (1) intrinsic brain activity; and (2) stop-signal task-evoked hemodynamic response profiles. In both cases, segmentation algorithms identified two stable and distinct clusters encompassing the rAI and rIFC. The rAI and rIFC clusters exhibited several distinct functional characteristics. First, the rAI showed stronger intrinsic and task-evoked functional connectivity with the anterior cingulate cortex, whereas the rIFC had stronger intrinsic and task-evoked functional connectivity with dorsomedial prefrontal and lateral fronto-parietal cortices. Second, the rAI showed greater activation than the rIFC during Unsuccessful, but not Successful, Stop trials, and multivoxel response profiles in the rAI, but not the rIFC, accurately differentiated between Successful and Unsuccessful Stop trials. Third, activation in the rIFC, but not rAI, predicted individual differences in inhibitory control abilities. Crucially, these findings were replicated in two independent cohorts of human participants. Together, our findings provide novel quantitative evidence for the dissociable roles of the rAI and rIFC in inhibitory control. We suggest that the rAI is particularly important for detecting behaviorally salient events, whereas the rIFC is more involved in implementing inhibitory control.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, while both insula and dACC are components of the SN, they subserve different functions, with insula more related to internal somatic function and monitoring task performance (Eckert et al. 2009;Menon and Uddin 2010;Cai et al. 2014), while the dACC is”
From Brain Activity and Functional Connectivity Associated with Hypnosis (2016) · cites this paper as Cai et al. 2014
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“the insula is involved in the processing of body control and experience, emotion, empathy, and time through its extensive connections to cortical and subcortical limbic structures (Menon and Uddin 2010;Cai et al. 2014).”
From Brain Activity and Functional Connectivity Associated with Hypnosis (2016) · cites this paper as Cai et al. 2014
Experimental — accuracy not yet measuredIn the citing paper
“The right anterior insula has been proposed to represent a hub that controls brain activity across different tasks and stimulus modalities to initiate and adjust cognitive control mechanisms (Cai et al. 2014).”
From Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis (2017) · cites this paper as Cai et al. 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Elements of Statistical Learning
Hastie, T., Tibshirani, R., & Friedman, J. (2009) · Springer Series in Statistics · doi:10.1007/978-0-387-84858-7 · Cited by 25,970
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Self-citationHow do you feel — now? The anterior insula and human awareness
(Bud) Craig, A. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2555 · Cited by 6,657 · cited 2×
“…anterior– dorsal cognitive subdivision of the insula as opposed to its anterior– ventral and posterior subdivisions, which have been implicated in arousal, affective, and interoceptive processes (Critchley et al., 2005; Craig, 2009; Menon and Uddin, 2010; Cocchi et al., 2012; Chang et al., 2013).”
BackgroundSaliency, switching, attention and control: a network model of insula function
Menon, V., & Uddin, L. Q. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0262-0 · Cited by 5,592
Self-citationCorrespondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Self-citationSridharan, D., Levitin, D. J., & Menon, V. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800005105 · Cited by 2,892
Self-citationDistinct brain networks for adaptive and stable task control in humans
Dosenbach, N. U. F., Fair, D. A., Miezin, F. M., Cohen, A. L., Wenger, K. K., Dosenbach, R. A. T., Fox, M. D., Snyder, A. Z., Vincent, J. L., Raichle, M. E., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704320104 · Cited by 2,632
Inhibition and the right inferior frontal cortex: one decade on
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.12.003 · Cited by 2,166
Event-Related fMRI: Characterizing Differential Responses
Friston, K. J., Fletcher, P. C., Josephs, O., Holmes, A., Rugg, M. D., & Turner, R. (1998) · NeuroImage · doi:10.1006/nimg.1997.0306 · Cited by 2,017
Eickhoff, S. B., Laird, A. R., Grefkes, C., Wang, L. E., Zilles, K., & Fox, P. T. (2009) · Human Brain Mapping · doi:10.1002/hbm.20718 · Cited by 1,924
Stop-signal inhibition disrupted by damage to right inferior frontal gyrus in humans
Aron, A. R., Fletcher, P. C., Bullmore, E. T., Sahakian, B. J., & Robbins, T. W. (2003) · Nature Neuroscience · doi:10.1038/nn1003 · Cited by 1,771
Aron, A. R., & Poldrack, R. A. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.4682-05.2006 · Cited by 1,630
Intrinsic and task-evoked network architectures of the human brain
Cole, M. W., Bassett, D. S., Power, J. D., Braver, T. S., & Petersen, S. E. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.014 · Cited by 1,564
On the ability to inhibit simple and choice reaction time responses: A model and a method.
Logan, G. D., Cowan, W. B., & Davis, K. A. (1984) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.10.2.276 · Cited by 1,542
Activation Likelihood Estimation meta-analysis revisited
Eickhoff, S., Bzdok, D., Laird, A., Kurth, F., & Fox, P. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.017 · Cited by 1,448
Right hemispheric dominance of inhibitory control: An event-related functional MRI study
Garavan, H., Ross, T. J., & Stein, E. A. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.14.8301 · Cited by 1,394
Response inhibition in the stop-signal paradigm
Verbruggen, F., & Logan, G. D. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.07.005 · Cited by 1,373
The role of the right inferior frontal gyrus: inhibition and attentional control
Hampshire, A., Chamberlain, S. R., Monti, M. M., Duncan, J., & Owen, A. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.109 · Cited by 1,327
Aron, A. R. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.024 · Cited by 1,236
Combining multiple clusterings using evidence accumulation
Fred, A. L. N., & Jain, A. K. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.113 · Cited by 1,198
Distinct cerebellar contributions to intrinsic connectivity networks
Habas, C., Kamdar, N., Nguyen, D., Prater, K., Beckmann, C. F., Menon, V., & Greicius, M. D. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1868-09.2009 · Cited by 1,115
Self-citationvan den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Human Brain Mapping · doi:10.1002/hbm.20737 · Cited by 987 · cited 1×
“Consistent with previous resting-state fMRI (Seeley et al., 2007; Sridharan et al., 2008; Smith et al., 2009) and structural connectivity (van den Heuvel et al., 2009; Allman et al., 2010) studies, we found that the rAI has stronger intrinsic functional connectivity with the ACC.”
ResultAron, A. R., Behrens, T. E., Smith, S., Frank, M. J., & Poldrack, R. A. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.0519-07.2007 · Cited by 982
Measuring functional connectivity during distinct stages of a cognitive task
Rissman, J., Gazzaley, A. H., & D’Esposito, M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.035 · Cited by 917
Petrides, M., & Pandya, D. N. (2002) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2001.02090.x · Cited by 882
Chang, L. J., Yarkoni, T., Khaw, M. W., & Sanfey, A. G. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs065 · Cited by 879
From cognitive to neural models of working memory
D’Esposito, M. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2086 · Cited by 829
Neuroimaging analyses of human working memory
Smith, E. E., & Jonides, J. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.20.12061 · Cited by 806
Three systems of insular functional connectivity identified with cluster analysis
Deen, B., Pitskel, N. B., & Pelphrey, K. A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq186 · Cited by 716
Architecture of the Prefrontal Cortex and the Central Executive
Goldman, P. S. (1995) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1995.tb38132.x · Cited by 654
Swick, D., Ashley, V., & Turken, U. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.070 · Cited by 638
Levy, B. J., & Wagner, A. D. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.05958.x · Cited by 625
Salience Network–Based Classification and Prediction of Symptom Severity in Children With Autism
Uddin, L. Q., Supekar, K., Lynch, C. J., Khouzam, A., Phillips, J., Feinstein, C., Ryali, S., & Menon, V. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.104 · Cited by 621
Self-citationSpiral‐in/out BOLD fMRI for increased SNR and reduced susceptibility artifacts
Glover, G. H., & Law, C. S. W. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1222 · Cited by 600
Defining functional areas in individual human brains using resting functional connectivity MRI
Cohen, A. L., Fair, D. A., Dosenbach, N. U. F., Miezin, F. M., Dierker, D., Van Essen, D. C., Schlaggar, B. L., & Petersen, S. E. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.066 · Cited by 582
Fuster, J. M. (2000) · Experimental Brain Research · doi:10.1007/s002210000401 · Cited by 558
Executive “Brake Failure” following Deactivation of Human Frontal Lobe
Chambers, C. D., Bellgrove, M. A., Stokes, M. G., Henderson, T. R., Garavan, H., Robertson, I. H., Morris, A. P., & Mattingley, J. B. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.3.444 · Cited by 544
Distinct frontal systems for response inhibition, attentional capture, and error processing
Sharp, D. J., Bonnelle, V., De Boissezon, X., Beckmann, C. F., James, S. G., Patel, M. C., & Mehta, M. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000175107 · Cited by 535
Duann, J., Ide, J. S., Luo, X., & Li, C. R. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1300-09.2009 · Cited by 502
Self-citationUddin, L. Q., Supekar, K., Amin, H., Rykhlevskaia, E. I., Nguyen, D. A., Greicius, M. D., & Menon, V. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq011 · Cited by 473
Self-citationSwann, N. C., Cai, W., Conner, C. R., Pieters, T. A., Claffey, M. P., George, J. S., Aron, A. R., & Tandon, N. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.049 · Cited by 459
Self-citationAnterior cingulate activity during error and autonomic response
Critchley, H. D., Tang, J., Glaser, D., Butterworth, B., & Dolan, R. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.047 · Cited by 445
The von Economo neurons in frontoinsular and anterior cingulate cortex in great apes and humans
Allman, J. M., Tetreault, N. A., Hakeem, A. Y., Manaye, K. F., Semendeferi, K., Erwin, J. M., Park, S., Goubert, V., & Hof, P. R. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0254-0 · Cited by 354
Multi-level bootstrap analysis of stable clusters in resting-state fMRI
Bellec, P., Rosa‐Neto, P., Lyttelton, O. C., Benali, H., & Evans, A. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.082 · Cited by 343
Functional connectivity during working memory maintenance
GAZZALEY, A., RISSMAN, J., & D'ESPOSITO, M. (2004) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.4.4.580 · Cited by 337
González-Castillo, J., Saad, Z. S., Handwerker, D. A., Inati, S., Brenowitz, N., & Bandettini, P. A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121049109 · Cited by 334
Functional Dissociation in Right Inferior Frontal Cortex during Performance of Go/No-Go Task
Chikazoe, J., Jimura, K., Asari, T., Yamashita, K., Morimoto, H., Hirose, S., Miyashita, Y., & Konishi, S. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn065 · Cited by 298
Common neural substrates for inhibition of spoken and manual responses
Xue, G., Aron, A. R., & Poldrack, R. A. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm220 · Cited by 280
A functional network perspective on response inhibition and attentional control
Erika-Florence, M., Leech, R., & Hampshire, A. (2014) · Nature Communications · doi:10.1038/ncomms5073 · Cited by 266
Neubert, F.-X., Mars, R. B., Buch, E. R., Olivier, E., & Rushworth, M. F. S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000674107 · Cited by 253
Pinning down response inhibition in the brain — Conjunction analyses of the Stop-signal task
Boehler, C. N., Appelbaum, L. G., Krebs, R. M., Hopf, J., & Woldorff, M. G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.276 · Cited by 227
Functional networks for cognitive control in a stop signal task: Independent component analysis
Zhang, S., & Li, C. R. (2011) · Human Brain Mapping · doi:10.1002/hbm.21197 · Cited by 195
Self-citationBayesian Prediction and Evaluation in the Anterior Cingulate Cortex
Ide, J. S., Shenoy, P., Yu, A. J., & Li, C.-S. R. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.2201-12.2013 · Cited by 185
Self-citationChao, H. H., Luo, X., Chang, J. L., & Li, C.-S. R. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-75 · Cited by 133
Self-citationCai, W., & Leung, H. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020840 · Cited by 83
Self-citationCocchi, L., Harrison, B. J., Pujol, J., Harding, I. H., Fornito, A., Pantelis, C., & Yücel, M. (2012) · Human Brain Mapping · doi:10.1002/hbm.21270 · Cited by 79
Consensus Clustering Based on a New Probabilistic Rand Index with Application to Subtopic Retrieval
Carpineto, C., & Romano, G. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.80 · Cited by 60
Orban, P., Doyon, J., Petrides, M., Mennes, M., Hoge, R. D., & Bellec, P. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu064 · Cited by 52
The functional oculomotor network and saccadic cognitive control in healthy elders
Pa, J., Dutt, S., Mirsky, J. B., Heuer, H. W., Keselman, P., Kong, E. L., Trujillo, A. J., Gazzaley, A. H., Kramer, J. H., Seeley, W. W., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.051 · Cited by 44
Sensorimotor‐independent prefrontal activity during response inhibition
Cai, W., Cannistraci, C. J., Gore, J. C., & Leung, H. (2013) · Human Brain Mapping · doi:10.1002/hbm.22315 · Cited by 43
Self-citation
Cited by
Sorted by citations
The role of prefrontal cortex in cognitive control and executive function
Friedman, N. P., & Robbins, T. W. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01132-0 · Cited by 1,737
“A possible solution of the issue may depend on sophisticated network analyses [99].”
BackgroundDemystifying cognitive flexibility: Implications for clinical and developmental neuroscience
Dajani, D. R., & Uddin, L. Q. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.07.003 · Cited by 1,046
The role of PFC networks in cognitive control and executive function
Menon, V., & D’Esposito, M. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01152-w · Cited by 654
Self-citationFractionating impulsivity: neuropsychiatric implications
Dalley, J. W., & Robbins, T. W. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.8 · Cited by 607
Distinct Global Brain Dynamics and Spatiotemporal Organization of the Salience Network
Chen, T., Cai, W., Ryali, S., Supekar, K., & Menon, V. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002469 · Cited by 480
Self-citation
Metadata
- Authors
- Cai, W., Ryali, S., Chen, T., Li, C.-S. R., & Menon, V.
- Affiliations
- Stanford University (US)
- Yale University (US)
- Stanford Medicine (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2014-10-29
- Volume
- 34
- Issue
- 44
- Pages
- 14652-14667
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4212065
- OpenAlex
- W2060881658
- Cited by
- 362
- References
- 63
- Citations by year
- 2026: 10 · 2025: 30 · 2024: 56 · 2023: 24 · 2022: 35 · 2021: 34 · 2020: 40 · 2019: 25 · 2018: 24 · 2017: 29 · 2016: 32 · 2015: 21 · 2014: 1
- FWCI
- 15.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute on Alcohol Abuse and Alcoholism (AA021449, R01AA021449)
- National Institute on Drug Abuse (DA026990, DA023248, R01DA023248, K02DA026990)
- National Institute of Neurological Disorders and Stroke (RF1NS086085, NS071221, R21NS071221, NS086085, R01NS086085)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (K25HD074652)
- 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 › Neurobiology of Language and Bilingualism
- Keywords
- inhibitory control, right inferior frontal cortex, right anterior insula, stop-signal task, functional parcellation, intrinsic brain activity, functional connectivity, anterior cingulate cortex, dorsomedial prefrontal cortex, individual differences, saliency detection
- MeSH terms
- Brain Mapping, Cerebral Cortex, Female, Frontal Lobe, Humans, Inhibition, Psychological, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Neuropsychological Tests, Psychomotor Performance, Reaction Time, 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 ›
Are you an author, or do you see a problem with this page? Request a review
