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Effective Connectivity Reveals Important Roles for Both the Hyperdirect (Fronto-Subthalamic) and the Indirect (Fronto-Striatal-Pallidal) Fronto-Basal Ganglia Pathways during Response Inhibition
Open accessAbstract
Fronto-basal ganglia pathways play a crucial role in voluntary action control, including the ability to inhibit motor responses. Response inhibition might be mediated via a fast hyperdirect pathway connecting the right inferior frontal gyrus (rIFG) and the presupplementary motor area (preSMA) with the subthalamic nucleus or, alternatively, via the indirect pathway between the cortex and caudate. To test the relative contribution of these two pathways to inhibitory action control, we applied an innovative quantification method for effective brain connectivity. Functional magnetic resonance imaging data were collected from 20 human participants performing a Simon interference task with an occasional stop signal. A single right-lateralized model involving both the hyperdirect and indirect pathways best explained the pattern of brain activation on stop trials. Notably, the overall connection strength of this combined model was highest on successfully inhibited trials. Inspection of the relationship between behavior and connection values revealed that fast inhibitors showed increased connectivity between rIFG and right caudate (rCaudate), whereas slow inhibitors were associated with increased connectivity between preSMA and rCaudate. In compliance, connection strengths from the rIFG and preSMA into the rCaudate were correlated negatively. If participants failed to stop, the magnitude of experienced interference (Simon effect), but not stopping latency, was predictive for the hyperdirect–indirect model connections. Together, the present results suggest that both the hyperdirect and indirect pathways act together to implement response inhibition, whereas the relationship between performance control and the fronto-basal ganglia connections points toward a top-down mechanism that underlies voluntary action control.
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“and the basal ganglia keep all responses in check until further processing has converged on an action decision, and the final call is received from upstream: from the pre-SMA and other prefrontal regions (Jahfari et al., 2011).”
From Impulsive action: emotional impulses and their control (2014) · cites this paper as Jahfari et al., 2011
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“Frontostriatal circuits in the brain, capitalizing on the inferior frontal cortex, the pre-supplementary motor area (pre-SMA), and the basal ganglia, are engaged when impulsive actions are to be interrupted, aborted, suppressed, or overridden by more appropriate actions (Jahfari et al., 2011; Ridderinkhof et al., 2011), even when such action control is triggered unconsciously (van Gaal et al., 200”
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“the inferior frontal cortex is recruited to aid in implementing response inhibition (Jahfari et al., 2011; Swann et al., 2012)”
From Impulsive action: emotional impulses and their control (2014) · cites this paper as Jahfari et al., 2011
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Cites
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer series in statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 18,636
Multimodel Inference: Understanding AIC and BIC in Model Selection
Burnham, K. P., & Anderson, D. R. (2004) · Sociological Methods & Research · doi:10.1177/0049124104268644 · Cited by 11,648
Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M. (2001) · NeuroImage · doi:10.1006/nimg.2001.0931 · Cited by 2,859
On the ability to inhibit thought and action: a theory of an act of control
Logan, G. D., & Cowan, W. B. (1984) · Psychological Review · doi:10.1037/0033-295x.91.3.295 · Cited by 2,590
THE BASAL GANGLIA: FOCUSED SELECTION AND INHIBITION OF COMPETING MOTOR PROGRAMS
Mink, J. W. (1996) · Progress in Neurobiology · doi:10.1016/s0301-0082(96)00042-1 · Cited by 2,478
Bayesian analysis of neuroimaging data in FSL
Woolrich, M. W., Jbabdi, S., Patenaude, B., Chappell, M., Makni, S., Behrens, T., Beckmann, C., Jenkinson, M., & Smith, S. M. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.055 · Cited by 2,385
Multilevel linear modelling for FMRI group analysis using Bayesian inference
Woolrich, M. W., Behrens, T. E. J., Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.023 · Cited by 1,719
Aron, A. R., & Poldrack, R. A. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.4682-05.2006 · Cited by 1,630
General multilevel linear modeling for group analysis in FMRI
Beckmann, C. F., Jenkinson, M., & Smith, S. M. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00435-x · Cited by 1,464
Functional significance of the cortico-subthalamo-pallidal “hyperdirect” pathway
Nambu, A., Tokuno, H., & Takada, M. (2002) · Neuroscience Research · doi:10.1016/s0168-0102(02)00027-5 · Cited by 1,371
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- 10.1037//0033-295X.91.3.295 · DOI · Paper page
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Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.007 · Cited by 2,321
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Bari, A., & Robbins, T. W. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.06.005 · Cited by 1,921
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Huster, R. J., Enriquez‐Geppert, S., Lavallee, C. F., Falkenstein, M., & Herrmann, C. S. (2012) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2012.08.001 · Cited by 794
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Schmidt, R., Leventhal, D., Mallet, N. P., Chen, F., & Berke, J. D. (2013) · Nature Neuroscience · doi:10.1038/nn.3456 · Cited by 424
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Wiecki, T. V., & Frank, M. J. (2013) · Psychological Review · doi:10.1037/a0031542 · Cited by 423
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Freeze, B. S., Kravitz, A. V., Hammack, N., Berke, J. D., & Kreitzer, A. C. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1278-13.2013 · Cited by 422
Three key regions for supervisory attentional control: Evidence from neuroimaging meta-analyses
Cieslik, E. C., Mueller, V. I., Eickhoff, C. R., Langner, R., & Eickhoff, S. B. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.11.003 · Cited by 322
The role of the supplementary motor area for speech and language processing
Hertrich, I., Dietrich, S., & Ackermann, H. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.06.030 · Cited by 315
Anatomy and Neurophysiology of Cough
Canning, B. J., Chang, A. B., Bolser, D. C., Smith, J. A., Mazzone, S. B., McGarvey, L., Adams, T. M., Altman, K. W., Barker, A. F., Birring, S. S., et al. (2014) · CHEST Journal · doi:10.1378/chest.14-1481 · Cited by 298
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Mallet, N. P., Schmidt, R., Leventhal, D., Chen, F., Amer, N., Boraud, T., & Berke, J. D. (2016) · Neuron · doi:10.1016/j.neuron.2015.12.017 · Cited by 241
Bilingualism provides a neural reserve for aging populations
Abutalebi, J., Guidi, L., Borsa, V. M., Canini, M., Rosa, P. A. D., Parris, B. A., & Weekes, B. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.01.040 · Cited by 255
Ghahremani, D. G., Lee, B., Robertson, C. L., Tabibnia, G., Morgan, A. T., De Shetler, N., Brown, A. K., Monterosso, J. R., Aron, A. R., Mandelkern, M. A., et al. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4284-11.2012 · Cited by 227
Hung, Y., Gaillard, S. L., Yarmak, P., & Arsalidou, M. (2018) · Human Brain Mapping · doi:10.1002/hbm.24232 · Cited by 212
Ratcliff, R., & Frank, M. J. (2012) · Neural Computation · doi:10.1162/neco_a_00270 · Cited by 211
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Sebastian, A., Pohl, M. F., Klöppel, S., Feige, B., Lange, T., Stahl, C., Voss, A., Klauer, K. C., Lieb, K., & Tüscher, O. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.020 · Cited by 193
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Averbeck, B. B., Lehman, J., Jacobson, M., & Haber, S. N. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.5806-12.2014 · Cited by 179
de Bruin, A., Roelofs, A., Dijkstra, T., & FitzPatrick, I. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.049 · Cited by 187
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Forstmann, B. U., Keuken, M. C., Jahfari, S., Bazin, P., Neumann, J., Schäfer, A., Anwander, A., & Turner, R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.044 · Cited by 188
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Yetnikoff, L., Lavezzi, H. N., Reichard, R. A., & Zahm, D. S. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.04.010 · Cited by 189
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Rae, C. L., Hughes, L. E., Weaver, C., Anderson, M. C., & Rowe, J. B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.012 · Cited by 140
Mattie Tops, A., Koole, S. L., IJzerman, H., & Buisman‐Pijlman, F. T. A. (2013) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2013.07.015 · Cited by 146
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van Belle, J., Vink, M., Durston, S., & Zandbelt, B. B. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.014 · Cited by 141
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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
Obeso, I., Robles, N., Marrón, E. M., & Redolar-Ripoll, E. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00150 · Cited by 144
Schaum, M., Pinzuti, E., Sebastian, A., Lieb, K., Fries, P., Mobascher, A., Jung, P., Wibral, M., & Tüscher, O. (2021) · eLife · doi:10.7554/elife.61679 · Cited by 146
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Sebastian, A., Baldermann, C., Feige, B., Katzev, M., Scheller, E., Hellwig, B., Lieb, K., Weiller, C., Tüscher, O., & Klöppel, S. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.03.013 · Cited by 127
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Self-citationZandbelt, B. B., Bloemendaal, M., Bas‐Hoogendam, J. M., Kahn, R. S., & Vink, M. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00309 · Cited by 120
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Cai, W., George, J. S., Verbruggen, F., Chambers, C., & Aron, A. R. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00132.2012 · Cited by 110
Cerasa, A., Koch, G., Donzuso, G., Mangone, G., Morelli, M., Brusa, L., Bassi, M. S., Ponzo, V., Picazio, S., Passamonti, L., et al. (2014) · Brain · doi:10.1093/brain/awu329 · Cited by 98
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Raud, L., & Huster, R. J. (2017) · Brain Topography · doi:10.1007/s10548-017-0566-y · Cited by 90
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Biundo, R., Weis, L., Facchini, S., Formento‐Dojot, P., Vallelunga, A., Pilleri, M., Weintraub, D. A., & Antonini, A. (2015) · Movement Disorders · doi:10.1002/mds.26154 · Cited by 96
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Hirose, S., Chikazoe, J., Watanabe, T., Jimura, K., Kunimatsu, A., Abe, O., Ohtomo, K., Miyashita, Y., & Konishi, S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0540-12.2012 · Cited by 103
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Jahanshahi, M. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00118 · Cited by 101
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Nakajima, 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
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Filbey, F. M., & Yezhuvath, U. S. (2013) · The American Journal of Drug and Alcohol Abuse · doi:10.3109/00952990.2013.841710 · Cited by 90
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
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Kool, W., Shenhav, A., & Botvinick, M. (2017) · Wiley eBooks · doi:10.1002/9781118920497.ch10 · Cited by 89
Obeso, I., Wilkinson, L., Rodríguez‐Oroz, M., Obeso, J. A., & Jahanshahi, M. (2013) · Experimental Brain Research · doi:10.1007/s00221-013-3457-9 · Cited by 81
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Frijda, N. H., Ridderinkhof, K. R., & Rietveld, E. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00518 · Cited by 79
Self-citationNeural correlates of intentional and stimulus-driven inhibition: a comparison
Schel, M. A., Kühn, S., Braß, M., Haggard, P., Ridderinkhof, K. R., & Crone, E. A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00027 · Cited by 79
Self-citationvan Rooij, D., Hartman, C. A., Mennes, M., Oosterlaan, J., Franke, B., Rommelse, N., Heslenfeld, D., Faraone, S. V., Buitelaar, J. K., & Hoekstra, P. J. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.01.004 · Cited by 89
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Self-citationCompeting basal ganglia pathways determine the difference between stopping and deciding not to go
Dunovan, K., Lynch, B., Molesworth, T., & Verstynen, T. (2015) · eLife · doi:10.7554/elife.08723 · Cited by 76
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Smittenaar, P., Rutledge, R. B., Zeidman, P., Adams, R. A., Brown, H. R., Lewis, G., & Dolan, R. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140383 · Cited by 81
Wei, W., & Wang, X. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.031 · Cited by 71
Shang, C. Y., Wu, Y. H., Gau, S. S., & Tseng, W. Y. (2013) · Psychological Medicine · doi:10.1017/s0033291712001869 · Cited by 69
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Vink, M., Kaldewaij, R., Zandbelt, B. B., Pas, P., & du Plessis, S. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12879 · Cited by 78
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
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Weintraub, D. B., & Zaghloul, K. A. (2013) · Reviews in the Neurosciences · doi:10.1515/revneuro-2012-0075 · Cited by 67
Meda, S. A., Pryweller, J. R., & Thornton‐Wells, T. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031913 · Cited by 66
Ribeiro, M. J., Violante, I. R., Bernardino, I., Edden, R. A. E., & Castelo-Branco, M. S. (2014) · Cortex · doi:10.1016/j.cortex.2014.10.019 · Cited by 72
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Dunovan, K., & Verstynen, T. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00106 · Cited by 63
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Bechard, A. R., Cacodcar, N., King, M. A., & Lewis, M. H. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.11.029 · Cited by 56
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Favre, É., Ballanger, B., Thobois, S., Broussolle, E., & Boulinguez, P. (2012) · Neurotherapeutics · doi:10.1007/s13311-012-0166-1 · Cited by 52
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Sparto, P. J., Fuhrman, S. I., Redfern, M. S., Jennings, J. R., Perera, S., Nebes, R. D., & FURMAN, J. M. R. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00682.2012 · Cited by 50
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Self-citation
Metadata
- Authors
- Jahfari, S., Waldorp, L., van den Wildenberg, W. P. M., Scholte, H. S., Ridderinkhof, K. R., & Forstmann, B. U.
- Affiliations
- University of Amsterdam (NL)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-05-04
- Volume
- 31
- Issue
- 18
- Pages
- 6891-6899
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6632844
- OpenAlex
- W2100219975
- Cited by
- 308
- References
- 44
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 19 · 2023: 5 · 2022: 21 · 2021: 27 · 2020: 17 · 2019: 18 · 2018: 26 · 2017: 17 · 2016: 20 · 2015: 30 · 2014: 29 · 2013: 29 · 2012: 20
- FWCI
- 13.14
- 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)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Health Sciences › Medicine › Clinical Neurology › Deep Brain Stimulation and Movement Disorders
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- response inhibition, hyperdirect pathway, indirect pathway, effective connectivity, subthalamic nucleus, caudate nucleus, inferior frontal gyrus, pre-supplementary motor area, stop signal, top-down control
- MeSH terms
- Adolescent, Adult, Analysis of Variance, Brain Mapping, Corpus Striatum, Female, Frontal Lobe, Globus Pallidus, Humans, Image Processing, Computer-Assisted, Inhibition, Psychological, Magnetic Resonance Imaging, Male, Neural Pathways, Neuropsychological Tests, Reaction Time, Subthalamic Nucleus
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