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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.
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“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
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“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
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“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
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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
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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-citationNorman, L. J., Carlisi, C., Lukito, S., Hart, H., Mataix-Cols, D., Radua, J., & Rubia, K. (2016) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2016.0700 · Cited by 426
Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis
Zhang, R., Geng, X., & Lee, T. M. C. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1443-x · Cited by 398
Anterior insula as a gatekeeper of executive control
Molnar-Szakacs, I., & Uddin, L. Q. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104736 · Cited by 333
Brain correlates of hypnosis: A systematic review and meta-analytic exploration
Landry, M., Lifshitz, M., & Raz, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.020 · Cited by 295
The frontal aslant tract (FAT) and its role in speech, language and executive function
Dick, A. S., Garic, D., Graziano, P. A., & Tremblay, P. (2018) · Cortex · doi:10.1016/j.cortex.2018.10.015 · Cited by 287
Brain Activity and Functional Connectivity Associated with Hypnosis
Jiang, H., White, M. P., Greicius, M. D., Waelde, L. C., & Spiegel, D. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw220 · Cited by 246
Differences in unity: The go/no-go and stop signal tasks rely on different mechanisms
Raud, L., Westerhausen, R., Dooley, N., & Huster, R. J. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116582 · Cited by 199
Taghia, J., Cai, W., Ryali, S., Kochalka, J., Nicholas, J., Chen, T., & Menon, V. (2018) · Nature Communications · doi:10.1038/s41467-018-04723-6 · Cited by 200
Self-citationThe insular cortex and the regulation of cardiac function
Oppenheimer, S., & Cechetto, D. (2016) · Comprehensive Physiology · doi:10.1002/cphy.c140076 · Cited by 191
Gao, Y., Shuai, D., Bu, X., Hu, X., Tang, S., Zhang, L., Li, H., Hu, X., Lu, L., Gong, Q., et al. (2019) · Psychological Medicine · doi:10.1017/s003329171900237x · Cited by 192
Carlisi, C. O., Norman, L. J., Lukito, S. S., Radua, J., Mataix-Cols, D., & Rubia, K. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.10.006 · Cited by 176
Cai, W., Chen, T., Ryali, S., Kochalka, J., Li, C. R., & Menon, V. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv046 · Cited by 177
Self-citationBehavioral and neurobiological mechanisms of punishment: implications for psychiatric disorders
Jean-Richard-Dit-Bressel, P., Killcross, S., & McNally, G. P. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0047-3 · Cited by 160
Hartwigsen, G., Neef, N. E., Camilleri, J. A., Margulies, D. S., & Eickhoff, S. B. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy049 · Cited by 167
OpenfMRI: Open sharing of task fMRI data
Poldrack, R. A., & Gorgolewski, K. J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.073 · Cited by 152
The Margins of the Language Network in the Brain
Hertrich, I., Dietrich, S., & Ackermann, H. (2020) · Frontiers in Communication · doi:10.3389/fcomm.2020.519955 · Cited by 165
Anatomical and functional organization of the human substantia nigra and its connections
Zhang, Y., Larcher, K. M.-H., Mišić, B., & Dagher, A. (2017) · eLife · doi:10.7554/elife.26653 · Cited by 156
Sachs, M. E., Kaplan, J., Sarkissian, A. D., & Habibi, A. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187254 · Cited by 153
A supramodal role of the basal ganglia in memory and motor inhibition: meta-analytic evidence
Guo, Y., Schmitz, T. W., Mur, M., Ferreira, C. S., & Anderson, M. C. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.11.033 · Cited by 133
Dissociated neural substrates underlying impulsive choice and impulsive action
Wang, Q., Chen, C., Cai, Y., Li, S., Zhao, X. Q., Li, Z., Zhang, H., Liu, J., Chen, C., & Xue, G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.010 · Cited by 136
Structural connectivity of right frontal hyperactive areas scales with stuttering severity
Neef, N. E., Anwander, A., Bütfering, C., Schmidt‐Samoa, C., Friederici, A. D., Paulus, W., & Sommer, M. (2017) · Brain · doi:10.1093/brain/awx316 · Cited by 135
Better living through understanding the insula: Why subregions can make all the difference
Centanni, S. W., Janes, A. C., Haggerty, D. L., Atwood, B. K., & Hopf, F. W. (2021) · Neuropharmacology · doi:10.1016/j.neuropharm.2021.108765 · Cited by 116
Neural and behavioral mechanisms of proactive and reactive inhibitionPreprint
Meyer, H. C., & Bucci, D. J. (2016) · Learning & Memory · doi:10.1101/lm.040501.115 · Cited by 126
Wagner, J., Wessel, J. R., Ghahremani, A., & Aron, A. R. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01183 · Cited by 112
Neural contributors to trauma resilience: a review of longitudinal neuroimaging studies
Roeckner, A. R., Oliver, K. I., Lebois, L. A. M., van Rooij, S. J. H., & Stevens, J. S. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01633-y · Cited by 103
Belin, D., Daniel, M.-L., Puaud, M., Jupp, B., Sawiak, S. J., Howett, D., McKenzie, C., Caprioli, D., Besson, M., Robbins, T. W., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.140 · Cited by 109
Dynamic causal brain circuits during working memory and their functional controllability
Cai, W., Ryali, S., Pasumarthy, R., Talasila, V., & Menon, V. (2021) · Nature Communications · doi:10.1038/s41467-021-23509-x · Cited by 105
Self-citationDricu, M., & Frühholz, S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.10.020 · Cited by 102
de Hollander, G., Keuken, M. C., van der Zwaag, W., Forstmann, B. U., & Trampel, R. (2017) · Human Brain Mapping · doi:10.1002/hbm.23586 · Cited by 105
Structural Connections of Functionally Defined Human Insular Subdivisions
Nomi, J. S., Schettini, E., Broce, I., Dick, A. S., & Uddin, L. Q. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx211 · Cited by 106
Han, J. E., Boachie, N., García‐García, I., Michaud, A., & Dagher, A. (2018) · Physiology & Behavior · doi:10.1016/j.physbeh.2018.02.037 · Cited by 108
Cai, W., Griffiths, K. R., Korgaonkar, M. S., Williams, L. M., & Menon, V. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0564-4 · Cited by 110
Self-citationThe Neuropsychology of Anxiety
McNaughton, N., & Gray, J. A. (2024) · doi:10.1093/oso/9780198843313.001.0001 · Cited by 99
Insula response and connectivity during social and non-social attention in children with autism
Odriozola, P., Uddin, L. Q., Lynch, C. J., Kochalka, J., Chen, T., & Menon, V. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv126 · Cited by 95
Self-citationAnterior insular cortex is a bottleneck of cognitive control
Wu, T., Wang, X., Wu, Q., Spagna, A., Yang, J., Yuan, C., Wu, Y., Gao, Z., Hof, P. R., & Fan, J. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.042 · Cited by 104
Bao, W., Gao, Y., Cao, L., Li, H., Liu, J., Liang, K., Hu, X., Zhang, L., Hu, X., Gong, Q., et al. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.10.017 · Cited by 92
Rodríguez-Nieto, G., Seer, C., Sidlauskaite, J., Vleugels, L., Van Roy, A., Hardwick, R., & Swinnen, S. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119665 · Cited by 89
Activity and Connectivity Differences Underlying Inhibitory Control Across the Adult Life Span
Tsvetanov, K. A., Ye, Z., Hughes, L. E., Samu, D., Treder, M. S., Wolpe, N., TYLER, L. K., & Rowe, J. B. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2919-17.2018 · Cited by 88
Gorgolewski, K. J., Varoquaux, G. P., Rivera, G., Schwartz, Y., Sochat, V., Ghosh, S., Maumet, C., Nichols, T. E., Poline, J., Yarkoni, T., et al. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.016 · Cited by 85
Right inferior frontal cortex: addressing the rebuttals
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00905 · Cited by 92
Cai, Y., Li, S., Liu, J., Li, D., Feng, Z., Wang, Q., Chen, C., & Xue, G. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00888 · Cited by 89
Memory and cognitive control circuits in mathematical cognition and learning
Menon, V. (2016) · Progress in brain research · doi:10.1016/bs.pbr.2016.04.026 · Cited by 95
Self-citationNakajima, K., Osada, T., Ogawa, A., Tanaka, M., Oka, S., Kamagata, K., Aoki, S., Oshima, Y., Tanaka, S., & Konishi, S. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111197 · Cited by 80
Osada, T., Ohta, S., Ogawa, A., Tanaka, M., Suda, A., Kamagata, K., Hori, M., Aoki, S., Shimo, Y., Hattori, N., et al. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2244-18.2019 · Cited by 90
Disrupted functional connectivity in adolescent obesity
Moreno-López, L., Contreras‐Rodríguez, O., Soriano‐Mas, C., Stamatakis, E. A., & Verdejo‐García, A. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.07.005 · Cited by 87
Ryali, S., Supekar, K., Chen, T., Kochalka, J., Cai, W., Nicholas, J., Padmanabhan, A., & Menon, V. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005138 · Cited by 82
Self-citationJai, T.-M. C., Fang, D., Bao, F. S., James, R. N., Chen, T., & Cai, W. (2020) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2020.04.005 · Cited by 88
Self-citationCai, W., Chen, T., Szegletes, L., Supekar, K., & Menon, V. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.10.005 · Cited by 82
Self-citationTian, Y., & Zalesky, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.055 · Cited by 80
Testing a Cognitive Control Model of Human Intelligence
Chen, Y., Spagna, A., Wu, T., Kim, T. H., Wu, Q., Chen, C., Wu, Y., & Fan, J. (2019) · Scientific Reports · doi:10.1038/s41598-019-39685-2 · Cited by 80
Menon, V., Gallardo, G., Pinsk, M. A., Nguyen, V.-D., Li, J., Cai, W., & Wassermann, D. (2020) · eLife · doi:10.7554/elife.53470 · Cited by 79
Self-citationResting-state time-varying analysis reveals aberrant variations of functional connectivity in autism
Yao, Z., Hu, B., Xie, Y., Zheng, F., Liu, G., Chen, X., & Zheng, W. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00463 · Cited by 74
Neef, N. E., Bütfering, C., Anwander, A., Friederici, A. D., Paulus, W., & Sommer, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.030 · Cited by 78
Dugre, J. R., Raduà, J., Carignan-Allard, M., Dumais, A., Rubia, K., & Potvin, S. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.09.013 · Cited by 75
Adverse Life Experiences and Brain Function
Hosseini‐Kamkar, N., Farahani, M. V., Nikolic, M., Stewart, K., Goldsmith, S. F., Soltaninejad, M., Rajabli, R., Lowe, C. J., Nicholson, A. A., Morton, J. B., et al. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.40018 · Cited by 80
Compensatory neural mechanisms in cognitively unimpaired P arkinson disease
Poston, K. L., YorkWilliams, S. L., Zhang, K., Cai, W., Everling, D., Tayim, F. M., Llanes, S., & Menon, V. (2015) · Annals of Neurology · doi:10.1002/ana.24585 · Cited by 78
Self-citationNaghibi, N., Jahangiri, N., Khosrowabadi, R., Eickhoff, C. R., Eickhoff, S. B., Coull, J. T., & Tahmasian, M. (2024) · Neuropsychology Review · doi:10.1007/s11065-023-09588-1 · Cited by 69
Gavazzi, G., Giovannelli, F., Currò, T., Mascalchi, M., & Viggiano, M. P. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00369-5 · Cited by 70
Sevinc, G., Hölzel, B. K., Hashmi, J., Greenberg, J., McCallister, A., Treadway, M., Schneider, M. L., Dusek, J. A., Carmody, J., & Lazar, S. W. (2018) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000590 · Cited by 67
Wu, T., Chen, C., Spagna, A., Wu, X., Mackie, M., Russell‐Giller, S., Xu, P., Luo, Y., Liu, X., Hof, P. R., et al. (2019) · The Journal of Comparative Neurology · doi:10.1002/cne.24804 · Cited by 74
Kann, S. J., Zhang, S., Manza, P., Leung, H., & Li, C. R. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0443 · Cited by 69
Self-citationNeural circuitry underlying sustained attention in healthy adolescents and in ADHD symptomatology
O’Halloran, L., Cao, Z., Ruddy, K. L., Jollans, L., Albaugh, M. D., Aleni, A., Potter, A., Vahey, N. A., Banaschewski, T., Hohmann, S., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.030 · Cited by 67
Right hemisphere superiority for executive control of attention
Spagna, A., Kim, T. H., Wu, T., & Fan, J. (2018) · Cortex · doi:10.1016/j.cortex.2018.12.012 · Cited by 66
Choo, Y., Matzke, D., Bowren, M. D., Tranel, D., & Wessel, J. R. (2022) · eLife · doi:10.7554/elife.79667 · Cited by 59
Iordan, A. D., & Dolcos, F. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv242 · Cited by 75
Qadir, H., Krimmel, S. R., Mu, C., Poulopoulos, A., Seminowicz, D. A., & Mathur, B. N. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00100 · Cited by 62
Inferior frontal cortex activity is modulated by reward sensitivity and performance variability
Fuentes‐Claramonte, P., Ávila, C., Rodríguez‐Pujadas, A., Costumero, V., Ventura‐Campos, N., Bustamante, J. C., Rosell‐Negre, P., & Barrós‐Loscertales, A. (2016) · Biological Psychology · doi:10.1016/j.biopsycho.2016.01.001 · Cited by 60
Abnormalities in resting-state EEG microstates are a vulnerability marker of migraine
Li, Y., Chen, G., Lv, J., Hou, L., Dong, Z., Wang, R., Su, M., & Yu, S. (2022) · The Journal of Headache and Pain · doi:10.1186/s10194-022-01414-y · Cited by 58
Deng, W., Rolls, E. T., Ji, X., Robbins, T. W., Banaschewski, T., Bokde, A. L. W., Bromberg, U., Buechel, C., Desrivières, S., Conrod, P., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23607 · Cited by 57
Alterations of agency in hypnosis: A new predictive coding model.
Martin, J.-R., & Pacherie, E. (2019) · Psychological Review · doi:10.1037/rev0000134 · Cited by 57
Sandrini, M., Xu, B., Volochayev, R., Awosika, O. O., Wang, W., Butman, J. A., & Cohen, L. G. (2019) · Brain stimulation · doi:10.1016/j.brs.2019.08.004 · Cited by 56
Yang, Z., Xiao, S., Su, T., Gong, J., Qi, Z., Chen, G., Chen, P., Tang, G., Fu, S., Yan, H., et al. (2023) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-023-01594-x · Cited by 57
Cai, W., Duberg, K., Padmanabhan, A., Rehert, R., Bradley, T., Carrión, V. G., & Menon, V. (2019) · Nature Communications · doi:10.1038/s41467-019-12756-8 · Cited by 54
Self-citationA systematic review of childhood maltreatment and resting state functional connectivity
Gerin, M. I., Viding, E. M., Herringa, R. J., Russell, J. D., & McCrory, E. J. P. (2023) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101322 · Cited by 65
García, J. M. P., Suárez‐Suárez, S., Doallo, S., & Cadaveira, F. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104637 · Cited by 51
Trambaiolli, L. R., Peng, X., Lehman, J. F., Linn, G., Russ, B. E., Schroeder, C. E., Liu, H., & Haber, S. N. (2022) · eLife · doi:10.7554/elife.76334 · Cited by 56
Breakspear, M. J., Roberts, G. M. P., Green, M. J., Nguyen, V. T., Frankland, A., Lévy, F., Lenroot, R., & Mitchell, P. B. (2015) · Brain · doi:10.1093/brain/awv261 · Cited by 51
Suda, A., Osada, T., Ogawa, A., Tanaka, M., Kamagata, K., Aoki, S., Hattori, N., & Konishi, S. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa188 · Cited by 51
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Ghahremani, A., Rastogi, A., & Lam, S. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5239-14.2015 · Cited by 49
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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
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