The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
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.
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
“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
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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”
From Impulsive action: emotional impulses and their control (2014) · cites this paper as Jahfari et al., 2011
The cited source says what the claim attributes to it.
In the citing paper
“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
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
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
Research works printed but not linked: 1
- 10.1037//0033-295X.91.3.295 · DOI · Paper page
Cited by
Sorted by citations
Items 101–200 of 308
The neural basis of improved cognitive performance by threat of shock
Torrisi, S., Robinson, O. J., O’Connell, K., Davis, A., Balderston, N. L., Ernst, M., & Grillon, C. (2016) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsw088 · Cited by 40
Dopamine effects on frontal cortical blood flow and motor inhibition in Parkinson's disease
Trujillo, P., van Wouwe, N. C., Lin, Y., Stark, A. J., Petersen, K. J., Kang, H., Zald, D. H., Donahue, M. J., & Claassen, D. O. (2019) · Cortex · doi:10.1016/j.cortex.2019.01.016 · Cited by 38
Neural correlates of enhanced response inhibition in the aftermath of stress
Chang, J., Hu, J., Li, C. R., & Yu, R. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116212 · Cited by 45
“Don׳t” versus “Won׳t”: Principles, mechanisms, and intention in action inhibition
Ridderinkhof, K. R., van den Wildenberg, W. P. M., & Braß, M. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.09.005 · Cited by 43
Self-citationScene complexity modulates degree of feedback activity during object detection in natural scenes
Groen, I. I. A., Jahfari, S., Seijdel, N., Ghebreab, S., Lamme, V. A. F., & Scholte, H. S. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006690 · Cited by 37
Self-citationNew perspectives on self-control development: Highlighting the role of intentional inhibition
Schel, M. A., Scheres, A., & Crone, E. A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.08.022 · Cited by 40
Mendes, A. J., Pacheco‐Barrios, K., Lema, A., Gonçalves, Ó. F., Fregni, F., Leite, J., & Carvalho, S. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.11.002 · Cited by 36
Berge, N. V. D., Albaugh, D. L., Salzwedel, A., Vanhove, C., Holen, R. V., Gao, W., Stuber, G. D., & Shih, Y. I. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.049 · Cited by 36
Inoue, K., Koketsu, D., Kato, S., Kobayashi, K., Nambu, A., & Takada, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039149 · Cited by 35
Functional Inhibitory Control Dynamics in Impulse Control Disorders in Parkinson's Disease
Paz‐Alonso, P. M., Navalpotro‐Gómez, I., Boddy, P., Dacosta‐Aguayo, R., Delgado‐Alvarado, M., Quiroga‐Varela, A., Jiménez‐Urbieta, H., Carreiras, M., & Rodríguez-Oroz, M. C. (2019) · Movement Disorders · doi:10.1002/mds.27885 · Cited by 38
Brunamonti, E., Ferraina, S., & Paré, M. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.04.051 · Cited by 34
Opposing Influence of Sensory and Motor Cortical Input on Striatal Circuitry and Choice Behavior
Lee, C. R., Yonk, A. J., Wiskerke, J., Paradiso, K. G., Tepper, J. M., & Margolis, D. J. (2019) · Current Biology · doi:10.1016/j.cub.2019.03.028 · Cited by 36
Control of response interference: caudate nucleus contributes to selective inhibition
Schmidt, C. C., Timpert, D. C., Arend, I. C., Vossel, S., Fink, G. R., Henik, A., & Weiss, P. H. (2020) · Scientific Reports · doi:10.1038/s41598-020-77744-1 · Cited by 37
Elimination of the Cortico-Subthalamic Hyperdirect Pathway Induces Motor Hyperactivity in Mice
Koketsu, D., Chiken, S., Hisatsune, T., Miyachi, S., & Nambu, A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1330-20.2021 · Cited by 32
West, T. O., Farmer, S. F., Magill, P. J., Sharott, A., Vladimir Litvak, A., & Cagnan, H. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009887 · Cited by 32
Frontal-Subcortical Circuits Involved in Reactive Control and Monitoring of Gaze
Thakkar, K. N., van den Heiligenberg, F. M., Kahn, R. S., & Neggers, S. F. W. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0732-14.2014 · Cited by 31
Choosing not to act: Neural bases of the development of intentional inhibition
Schel, M. A., Ridderinkhof, K. R., & Crone, E. A. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.08.006 · Cited by 30
Self-citationHell, F., Taylor, P. C. J., Mehrkens, J. H., & Bötzel, K. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.001 · Cited by 31
Ojha, A., Parr, A. C., Foran, W., Calabro, F. J., & Luna, B. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101183 · Cited by 30
Criaud, M., Poisson, A., Thobois, S., Météreau, É., Redouté, J., Ibarrola, D., Baraduc, P., Broussolle, E., Strafella, A. P., Ballanger, B., et al. (2016) · Journal of Parkinson s Disease · doi:10.3233/jpd-150750 · Cited by 35
Bechard, A. R., Bliznyuk, N., & Lewis, M. H. (2017) · Developmental Psychobiology · doi:10.1002/dev.21503 · Cited by 32
Tan, J., Iyer, K. K., Tang, A. D., Jamil, A., Martins, R. N., Sohrabi, H. R., Nitsche, M. A., Hinder, M. R., & Fujiyama, H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.10.044 · Cited by 32
Jahfari, S., Ridderinkhof, K. R., Collins, A. G. E., Knapen, T. H. J., Waldorp, L., & Frank, M. J. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy076 · Cited by 30
Self-citationNeuro-dynamics of executive control in bilingual language switching: An MEG study
Zhu, J. D., Seymour, R. A., Szakay, A., & Sowman, P. F. (2020) · Cognition · doi:10.1016/j.cognition.2020.104247 · Cited by 33
Afferent neural pathways mediating cough in animals and humans.
Narula, M., McGovern, A. E., Yang, S., Farrell, M. J., & Mazzone, S. B. (2014) · Europe PMC (PubMed Central) · doi:10.3978/j.issn.2072-1439.2014.03.15 · Cited by 29
Neural correlates for naming disadvantage of the dominant language in bilingual word production
Fu, Y., Lu, D., Kang, C., Wu, J., Ma, F., Ding, G., & Guo, T. (2017) · Brain and Language · doi:10.1016/j.bandl.2017.10.005 · Cited by 31
Hsieh, M.-C., Jeong, H., Kawata, K. H. D. S., Sasaki, Y., Lee, H.-C., Yokoyama, S., Sugiura, M., & Kawashima, R. (2017) · Brain and Language · doi:10.1016/j.bandl.2017.06.006 · Cited by 28
Neural Dynamics of Reward-Induced Response Activation and Inhibition
Wang, L., Chang, W., Krebs, R. M., Boehler, C. N., Theeuwes, J., & Zhou, X. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy275 · Cited by 27
Primate Nigrostriatal Dopamine System Regulates Saccadic Response Inhibition
Ogasawara, T., Nejime, M., Takada, M., & Matsumoto, M. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.025 · Cited by 28
Cortical and subcortical functional specificity associated with response inhibition
Maizey, L., Evans, J., Muhlert, N., Verbruggen, F., Chambers, C., & Allen, C. P. G. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117110 · Cited by 29
Behavioral and Neurophysiological Aspects of Inhibition—The Effects of Acute Cardiovascular Exercise
Levin, O., Netz, Y., & Ziv, G. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10020282 · Cited by 29
Low-beta versus high-beta band cortico-subcortical coherence in movement inhibition and expectation
Cao, C., Vladimir Litvak, A., Zhan, S., Liu, W., Zhang, C., Sun, B., Li, D., & van Wijk, B. C. M. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106689 · Cited by 27
Jahfari, S., Waldorp, L., Ridderinkhof, K. R., & Scholte, H. S. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00792 · Cited by 27
Self-citationSpatial Frequency Information Modulates Response Inhibition and Decision-Making Processes
Jahfari, S., Ridderinkhof, K. R., & Scholte, H. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076467 · Cited by 27
Self-citationEffect of deep brain stimulation on vocal motor control mechanisms in Parkinson's disease
Behroozmand, R., Johari, K., Kelley, R. M., Kapnoula, E. C., Narayanan, N. S., & Greenlee, J. D. W. (2019) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2019.03.002 · Cited by 29
Exogenously triggered response inhibition in developmental stuttering
Eggers, K., Nil, L. F. D., & den Bergh, B. R. H. V. (2018) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2018.02.001 · Cited by 26
Isherwood, S. J., Bazin, P., Miletić, S., Stevenson, N., Trutti, A. C., Tse, D. H. Y., Heathcote, A., Matzke, D., Innes, R. J., Habli, S., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119988 · Cited by 26
Self-citationThe effect of task complexity on the neural network for response inhibition: An ALE meta-analysis
Aziz-Safaie, T., Müller, V. I., Langner, R., Eickhoff, S. B., & Cieslik, E. C. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2024.105544 · Cited by 25
Osada, T., Nakajima, K., Shirokoshi, T., Ogawa, A., Oka, S., Kamagata, K., Aoki, S., Oshima, Y., Tanaka, S., & Konishi, S. (2024) · Nature Communications · doi:10.1038/s41467-024-54564-9 · Cited by 26
Filip, P., Linhartová, P., Hlavatá, P., Šumec, R., Baláž, M., Bareš, M., & Kašpárek, T. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00462 · Cited by 23
Bakhtiari, S., Altınkaya, A., Pack, C. C., & Sadikot, A. F. (2020) · Scientific Reports · doi:10.1038/s41598-020-61572-4 · Cited by 24
Madsen, K. S., Johansen, L. B., Thompson, W. K., Siebner, H. R., Jernigan, T. L., & Baaré, W. F. C. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117105 · Cited by 23
Changes in cerebro-cerebellar interaction during response inhibition after performance improvement
Hirose, S., Jimura, K., Kunimatsu, A., Abe, O., Ohtomo, K., Miyashita, Y., & Konishi, S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.007 · Cited by 23
Zhuang, Q., Qiao, L., Xu, L., Yao, S., Chen, S., Zheng, X., Li, J., Fu, M., Li, K., Vatansever, D., et al. (2023) · Psychoradiology · doi:10.1093/psyrad/kkad016 · Cited by 24
Clinical Motor and Cognitive Neurobehavioral Relationships in the Basal Ganglia
Leisman, G., Melillo, R. J., & Frederick, R. (2013) · InTech eBooks · doi:10.5772/55227 · Cited by 29
Das, S., Mccloskey, K., Nepal, B., & Kortagere, S. (2024) · Molecular Neurobiology · doi:10.1007/s12035-024-04644-0 · Cited by 22
The prelimbic cortex and subthalamic nucleus contribute to cue-guided behavioral switching
Baker, P. M., & Ragozzino, M. E. (2013) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2013.11.006 · Cited by 22
Inhibitory Control Processes and the Strategies That Support Them during Hand and Eye Movements
Schmitt, L., Ankeny, L. D., Sweeney, J. A., & Mosconi, M. W. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01927 · Cited by 22
Wang, G.-Y., van Eijk, J., Demirakça, T., Sack, M., Krause-Utz, A., Cackowski, S., Schmahl, C. G., & Ende, G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.013 · Cited by 21
Li, H., Yang, L., Yin, D., Chen, W., Liu, G., Wang, N., Wang, N., Yu, W., Wu, Z., & Wang, Z. (2019) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2018.12.029 · Cited by 21
Resting GABA concentration predicts inhibitory control during an auditory Go-Nogo task
Cheng, C., Niddam, D. M., Hsu, S., Liu, C., & Tsai, S. (2017) · Experimental Brain Research · doi:10.1007/s00221-017-5101-6 · Cited by 20
Mazzetti, C., Staudigl, T., Marshall, T. R., Zumer, J. M., Fallon, S. J., & Jensen, O. B. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0610-19.2019 · Cited by 17
Multiple modes of clearing one's mind of current thoughts: Overlapping and distinct neural systems
Banich, M. T., Seghete, K. L. M., Depue, B. E., & Burgess, G. C. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.01.039 · Cited by 19
Mazzone, S. B., McGovern, A. E., & Farrell, M. J. (2015) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2015.02.002 · Cited by 20
Schlotz, W., Godfrey, K., & Phillips, D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096715 · Cited by 23
Alcohol effects on globus pallidus connectivity: Role of impulsivity and binge drinking
Fede, S. J., Abrahao, K. P., Cortes, C. R., Grodin, E. N., Schwandt, M. L., George, D. T., Diazgranados, N., Ramchandani, V. A., Lovinger, D. M., & Momenan, R. (2020) · PLoS ONE · doi:10.1371/journal.pone.0224906 · Cited by 19
Stuttering severity relates to frontotemporal low-beta synchronization during pre-speech preparation
Korzeczek, A., Neef, N. E., Steinmann, I., Paulus, W., & Sommer, M. (2022) · Clinical Neurophysiology · doi:10.1016/j.clinph.2022.03.010 · Cited by 23
Yao, Z., Sligte, I. G., & Ridderinkhof, K. R. (2024) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2024.108974 · Cited by 20
Self-citationMeng, D., Welton, T., Elsarraj, A., Morgan, P. S., das Nair, R., Constantinescu, C. S., Evangelou, N., Auer, D. P., & Dineen, R. A. (2020) · Human Brain Mapping · doi:10.1002/hbm.25239 · Cited by 22
Fuentes‐Claramonte, P., Ávila, C., Rodríguez‐Pujadas, A., Costumero, V., Ventura‐Campos, N., Bustamante, J. C., Rosell‐Negre, P., & Barrós‐Loscertales, A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.067 · Cited by 23
Schmüser, L., Sebastian, A., Mobascher, A., Lieb, K., Feige, B., & Tüscher, O. (2016) · Human Brain Mapping · doi:10.1002/hbm.23230 · Cited by 23
How attention controls naming: Lessons from Wundt 2.0.
Roelofs, A. (2021) · Journal of Experimental Psychology General · doi:10.1037/xge0001030 · Cited by 18
Gan, C., Wang, L., Ji, M. J., Ma, K., Sun, H., Zhang, K., & Yuan, Y. (2021) · npj Parkinson s Disease · doi:10.1038/s41531-021-00205-7 · Cited by 20
Kaplan, J. R., & Manuck, S. B. (1997) · PubMed · Cited by 19
Effects of Exercise on Neural Changes in Inhibitory Control: An ALE Meta-Analysis of fMRI Studies
Wu, J., Xiao, W., Yip, J. Y. W., Peng, L. H., Zheng, K., Bentil, O. T., & Ren, Z. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.891095 · Cited by 20
Palmer, C. E., Langbehn, D. R., Tabrizi, S. J., & Papoutsi, M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.02363 · Cited by 18
Cognitive control regions are recruited in bilinguals' silent reading of mixed-language paragraphs
Stasenko, A., Hays, C. C., Wierenga, C. E., & Gollan, T. H. (2020) · Brain and Language · doi:10.1016/j.bandl.2020.104754 · Cited by 18
Sadeghi, S., Takeuchi, H., Shalani, B., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0259259 · Cited by 22
Does Response Inhibition Have Pre- and Postdiagnostic Utility in Parkinson's Disease?
MacDonald, H. J., & Byblow, W. D. (2015) · Journal of Motor Behavior · doi:10.1080/00222895.2014.941784 · Cited by 16
Callahan, J. W., & Abercrombie, E. D. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.03.006 · Cited by 16
Neuroimaging Studies of Multilingual Speech
Blackburn, A. M. (2019) · The Handbook of the Neuroscience of Multilingualism · doi:10.1002/9781119387725.ch6 · Cited by 17
Effects of transcranial magnetic stimulation on reactive response inhibition
Qu, H., Geissler, C. F., Ferrante, M., Hartwigsen, G., & Friehs, M. A. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105532 · Cited by 19
Takada, M., Inoue, K., Koketsu, D., Kato, S., Kobayashi, K., & Nambu, A. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00140 · Cited by 16
Nucleus accumbens responses differentiate execution and restraint in reward-directed behavior
Roitman, J. D., & Loriaux, A. L. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00350.2013 · Cited by 16
Impaired Frontal-Basal Ganglia Connectivity in Male Adolescents with Conduct Disorder
Zhang, J., Baojuan Li, A., Gao, J., Shi, H., Wang, X., Jiang, Y., Ming, Q., Gao, Y., Ma, R., & Yao, S. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145011 · Cited by 16
Changes in BOLD variability are linked to the development of variable response inhibition
Thompson, A., Schel, M. A., & Steinbeis, N. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117691 · Cited by 17
Unbalanced fronto-pallidal neurocircuit underlying set shifting in obsessive-compulsive disorder
Kim, T., Kim, M., Jung, W. H., Kwak, Y. B., Moon, S., Lho, S. K., Lee, J., & Kwon, J. S. (2021) · Brain · doi:10.1093/brain/awab483 · Cited by 15
Plessow, F., Fischer, R., Volkmann, J., & Schubert, T. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2014.02.009 · Cited by 15
Ye, J., Li, W., Zhang, D., Li, Q., Zhu, J., Chen, J., Li, Y., Yan, X., Liu, J., Wei, X., et al. (2018) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2018.6571 · Cited by 16
Slowed Movement Stopping in Parkinson’s Disease and Focal Dystonia is Improved by Standard Treatment
Choudhury, S., Roy, A., Mondal, B., Singh, R., Halder, S., Chatterjee, K., Baker, M. R., Kumar, H., & Baker, S. N. (2019) · Scientific Reports · doi:10.1038/s41598-019-55321-5 · Cited by 15
Bashore, T. R., Ally, B. A., van Wouwe, N. C., Neimat, J. S., van den Wildenberg, W. P. M., & Wylie, S. A. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01496 · Cited by 15
A circuit‐based approach to modulate hypersexuality in Parkinson's disease
Mata‐Marín, D., Pineda‐Pardo, J. A., Michiels, M., Pagge, C., Ammann, C., Martínez‐Fernández, R., Molina, J. A., Vela, L., Alonso‐Frech, F., & Obeso, I. (2022) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13523 · Cited by 15
Bardella, G., Giuffrida, V., Giarrocco, F., Brunamonti, E., Pani, P., & Ferraina, S. (2024) · Network Neuroscience · doi:10.1162/netn_a_00365 · Cited by 14
Late enhancement of brain-behavior correlations during response inhibition
Jimura, K., Hirose, S., Kunimatsu, A., Ohtomo, K., Koike, Y., & Konishi, S. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.05.058 · Cited by 14
Singh, M., Fuelscher, I. T., He, J. L., Anderson, V. A., Silk, T. J., & Hyde, C. E. (2021) · Cortex · doi:10.1016/j.cortex.2021.06.002 · Cited by 13
Stopping movements: when others slow us down
Cavallo, A., Catmur, C., Sowden, S., Ianì, F., & Becchio, C. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12645 · Cited by 14
Prenassi, M., Borellini, L., Bocci, T., Scola, E., Barbieri, S., Priori, A., Ferrucci, R., Cogiamanian, F., Locatelli, M., Rampini, P., et al. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.950434 · Cited by 14
Investigating a race model account of executive control in rats with the countermanding paradigm
Beuk, J., Beninger, R. J., & Paré, M. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.01.014 · Cited by 13
Zhang, F., & Iwaki, S. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00279 · Cited by 12
van den Wildenberg, W. P. M., van Wouwe, N. C., Ridderinkhof, K. R., Neimat, J. S., Elias, W. J., Bashore, T. R., & Wylie, S. A. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113124 · Cited by 12
Self-citationTsumura, K., Shintaki, R., Takeda, M., Chikazoe, J., Nakahara, K., & Jimura, K. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.2537-21.2022 · Cited by 12
A focused information criterion for graphical models in fMRI connectivity with high-dimensional data
Pircalabelu, E., Claeskens, G., Jahfari, S., & Waldorp, L. (2015) · The Annals of Applied Statistics · doi:10.1214/15-aoas882 · Cited by 12
Self-citationWeerasekera, A., Levin, O., Clauwaert, A., Heise, K.-F., Hermans, L., Peeters, R. R., Mantini, D., Cuypers, K., Leunissen, I., Himmelreich, U., et al. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa028 · Cited by 13
van Wouwe, N. C., van den Wildenberg, W. P. M., Ridderinkhof, K. R., Claassen, D. O., Neimat, J. S., & Wylie, S. A. (2015) · Brain and Cognition · doi:10.1016/j.bandc.2015.10.007 · Cited by 13
Self-citationBocci, T., Ferrara, R., Albizzati, T., Averna, A., Guidetti, M., Marceglia, S., & Priori, A. (2024) · Brain Communications · doi:10.1093/braincomms/fcae201 · Cited by 9
Wu, J., Ji, Y., Qu, H., Zuo, S., Liang, J., Su, J., Wang, Q., Yan, G., & Ding, G. (2024) · Cognition · doi:10.1016/j.cognition.2024.105963 · Cited by 11
West, T. O., Luc Berthouze, A., Farmer, S. F., Cagnan, H., & Vladimir Litvak, A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118020 · Cited by 9
Proactive Response Inhibition and Subcortical Gray Matter Integrity in Traumatic Brain Injury
Hermans, L., Beeckmans, K., Michiels, K., Lafosse, C., Sunaert, S. G., Coxon, J. P., Swinnen, S. P., & Leunissen, I. (2016) · Neurorehabilitation and neural repair · doi:10.1177/1545968316675429 · Cited by 12
Jones, N. P., Versace, A., Lindstrom, R. A., Wilson, T. K., Gnagy, E. M., Pelham, W. E., Molina, B. S. G., & Ladouceur, C. D. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.06.011 · Cited by 12
Branzi, F. M., Martin, C. D., & Paz‐Alonso, P. M. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab401 · Cited by 11
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
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
