The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.
Common and unique neural networks for proactive and reactive response inhibition revealed by independent component analysis of functional MRI data
Abstract
Response inhibition involves proactive and reactive modes. Proactive inhibition is goal-directed, triggered by warning cues, and serves to restrain actions. Reactive inhibition is stimulus-driven, triggered by salient stop-signals, and used to stop actions completely. Functional MRI studies have identified brain regions that activate during proactive and reactive inhibition. It remains unclear how these brain regions operate in functional networks, and whether proactive and reactive inhibition depend on common networks, unique networks, or a combination. To address this we analyzed a large fMRI dataset (N=65) of a stop-signal task designed to measure proactive and reactive inhibition, using independent component analysis (ICA). We found 1) three frontal networks that were associated with both proactive and reactive inhibition, 2) one network in the superior parietal lobe, which also included dorsal premotor cortex and left putamen, that was specifically associated with proactive inhibition, and 3) two right-lateralized frontal and fronto-parietal networks, including the right inferior frontal gyrus and temporoparietal junction as well as a bilateral fronto-temporal network that were uniquely associated with reactive inhibition. Overlap between networks was observed in dorsolateral prefrontal and parietal cortices. Taken together, we offer a new perspective on the neural underpinnings of inhibitory control, by showing that proactive inhibition and reactive inhibition are supported by a group of common and unique networks that appear to integrate and interact in frontoparietal areas.
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“The effective integration of these processes relies not only on the functional recruitment of implicated brain regions, but also on the strength of connectivity among them (Hwang et al., 2010, van Belle et al., 2014).”
From The dual systems model: Review, reappraisal, and reaffirmation (2016) · cites this paper as van Belle et al., 2014
In the citing paper
“Third, the use of the data generated from stop signal tasks to assess action cancellation drew more on proactive than reactive control for inhibiting inappropriate responses (Aron 2011; Vink et al. 2014; Van Belle et al. 2014; Vink et al. 2015).”
From Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis (2017) · cites this paper as Van Belle et al. 2014
In the citing paper
“Moreover, specific neural correlates for each subcategory of response inhibition may also help us to identify phenotypes for mental disorders (Van Belle et al. 2014), such as schizophrenia and ADHD.”
From Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis (2017) · cites this paper as Van Belle et al. 2014
Citations
Cites
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Ashburner, J., & Friston, K. J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.02.018 · Cited by 7,507
Separate visual pathways for perception and action
Goodale, M. A., & Milner, A. D. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90344-8 · Cited by 6,519
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
The reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889
A method for making group inferences from functional MRI data using independent component analysis
Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001) · Human Brain Mapping · doi:10.1002/hbm.1048 · Cited by 2,994
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
Inhibition and impulsivity: behavioral and neural basis of response control
Bari, A., & Robbins, T. W. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.06.005 · Cited by 1,921
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
The Representation of Object Concepts in the Brain
Martin, A. D. (2006) · Annual Review of Psychology · doi:10.1146/annurev.psych.57.102904.190143 · Cited by 1,631
Aron, A. R., & Poldrack, R. A. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.4682-05.2006 · Cited by 1,630
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
(2008) · doi:10.1093/acprof:oso/9780195168648.001.0001 · Cited by 1,529
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
Rizzolatti, G., & Luppino, G. (2001) · Neuron · doi:10.1016/s0896-6273(01)00423-8 · Cited by 1,356
A Baseline for the Multivariate Comparison of Resting-State Networks
Allen, E. A., Erhardt, E. B., Damaraju, E., Gruner, W. E., Segall, J. M., Silva, R. F., Havlíček, M., Rachakonda, S., Fries, J. F., Kalyanam, R., et al. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00002 · Cited by 1,329
Intentional Maps in Posterior Parietal Cortex
Andersen, R. A., & Buneo, C. A. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142922 · Cited by 1,294 · cited 1×
“…inhibitory control literature, the SPL and PMd have been implicated in top-down attentional control (Corbetta and Shulman, 2002), processing of visual information for real-time action control (Goodale and Milner, 1992; Rizzolatti and Matelli, 2003), and action intention (Andersen and Buneo, 2002).”
Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects
Chao, L. L., Haxby, J. V., & Martin, A. D. (1999) · Nature Neuroscience · doi:10.1038/13217 · Cited by 1,246
Validating the independent components of neuroimaging time series via clustering and visualization
Himberg, J., Hyvärinen, A., & Esposito, F. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.027 · Cited by 1,246
Aron, A. R. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.024 · Cited by 1,236
Construction of a 3D probabilistic atlas of human cortical structures
Shattuck, D. W., Mirza, M., Adisetiyo, V., Hojatkashani, C., Salamon, G., Narr, K. L., Poldrack, R. A., Bilder, R. M., & Toga, A. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.031 · Cited by 1,208
A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data
Calhoun, V. D., Liu, J., & Adalı, T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.057 · Cited by 1,153
Two different streams form the dorsal visual system: anatomy and functions
Rizzolatti, G., & Matelli, M. (2003) · Experimental Brain Research · doi:10.1007/s00221-003-1588-0 · Cited by 1,068
Schmahmann, J. D., Pandya, D. N., Wang, R., Dai, G., D'Arceuil, H. E., de Crespigny, A. J., & Wedeen, V. J. (2007) · Brain · doi:10.1093/brain/awl359 · Cited by 1,067
Cerebellar Projections to the Prefrontal Cortex of the Primate
Middleton, F. A., & Strick, P. L. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-02-00700.2001 · Cited by 1,034
Estimating the number of independent components for functional magnetic resonance imaging data
Li, Y., Adalı, T., & Calhoun, V. D. (2007) · Human Brain Mapping · doi:10.1002/hbm.20359 · Cited by 923
Explaining the Many Varieties of Working Memory Variation: Dual Mechanisms of Cognitive Control
Braver, T. S., Gray, J. R., & Burgess, G. C. (2008) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195168648.003.0004 · Cited by 886
Left inferior frontal gyrus is critical for response inhibition
Swick, D., Ashley, V., & Turken, A. U. (2008) · BMC Neuroscience · doi:10.1186/1471-2202-9-102 · Cited by 745
Comparison of multi‐subject ICA methods for analysis of fMRI data
Erhardt, E. B., Rachakonda, S., Bedrick, E. J., Allen, E. A., Adalı, T., & Calhoun, V. D. (2010) · Human Brain Mapping · doi:10.1002/hbm.21170 · Cited by 733
A unified framework for inhibitory control
Munakata, Y., Herd, S. A., Chatham, C. H., Depue, B. E., Banich, M. T., & O’Reilly, R. C. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.07.011 · Cited by 699
Swick, D., Ashley, V., & Turken, U. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.070 · Cited by 638
Ray Li, C.-S., Huang, C., Constable, R. T., & Sinha, R. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3741-05.2006 · Cited by 600 · cited 2×
“, 2008), and studies linking inter-individual differences in SSRT and fMRI activation levels (Congdon et al., 2010; Li et al., 2006) also endorse the idea that frontal regions in both the left and right hemisphere are critical for successful inhibitory control.”
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
Parallel Visual Motion Processing Streams for Manipulable Objects and Human Movements
Beauchamp, M. S., Lee, K. E., Haxby, J. V., & Martin, A. D. (2002) · Neuron · doi:10.1016/s0896-6273(02)00642-6 · Cited by 528
Common and unique components of response inhibition revealed by fMRI
Wager, T. D., Sylvester, C.-Y. C., Lacey, S. C., Nee, D. E., Franklin, M., & Jonides, J. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.054 · Cited by 486
Swann, 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
A computational model of inhibitory control in frontal cortex and basal ganglia.
Wiecki, T. V., & Frank, M. J. (2013) · Psychological Review · doi:10.1037/a0031542 · Cited by 423
Use of a delayed signal to stop a visual reaction-time response.
Lappin, J. S., & Eriksen, C. W. (1966) · Journal of Experimental Psychology · doi:10.1037/h0021266 · Cited by 414
Chikazoe, J., Jimura, K., Hirose, S., Yamashita, K., Miyashita, Y., & Konishi, S. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3645-09.2009 · Cited by 385
Proactive adjustments of response strategies in the stop-signal paradigm.
Verbruggen, F., & Logan, G. D. (2009) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/a0012726 · Cited by 362
Theta burst stimulation dissociates attention and action updating in human inferior frontal cortex
Verbruggen, F., Aron, A. R., Stevens, M., & Chambers, C. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1001957107 · Cited by 335
On the Role of the Striatum in Response Inhibition
Zandbelt, B. B., & Vink, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013848 · Cited by 322
Self-citationUnmixing fMRI with independent component analysis
Calhoun, V. D., & Adalı, T. (2006) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2006.1607672 · Cited by 310
Jahfari, S., Waldorp, L., van den Wildenberg, W. P. M., Scholte, H. S., Ridderinkhof, K. R., & Forstmann, B. U. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5253-10.2011 · Cited by 308
Logan, G. D., & Burkell, J. (1986) · Journal of Experimental Psychology: Human Perception and Performance · doi:10.1037/0096-1523.12.4.549 · Cited by 280
Different activation dynamics in multiple neural systems during simulated driving
Calhoun, V. D., Pekar, J. J., McGinty, V. B., Adalı, T., Watson, T. D., & Pearlson, G. D. (2002) · Human Brain Mapping · doi:10.1002/hbm.10032 · Cited by 279
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
Modelling with independent components
Beckmann, C. F. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.020 · Cited by 248
Allen, E. A., Erhardt, E. B., Wei, Y., Eichele, T., & Calhoun, V. D. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.010 · Cited by 233
Responding with Restraint: What Are the Neurocognitive Mechanisms?
Jahfari, S., Stinear, C. M., Claffey, M., Verbruggen, F., & Aron, A. R. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21307 · Cited by 208
Striatal connections of the parietal association cortices in rhesus monkeys
Yeterian, E. H., & Pandya, D. Ν. (1993) · The Journal of Comparative Neurology · doi:10.1002/cne.903320204 · Cited by 202
Function of striatum beyond inhibition and execution of motor responses
Vink, M., Kahn, R. S., Raemaekers, M., van den Heuvel, M., Boersma, M., & Ramsey, N. F. (2005) · Human Brain Mapping · doi:10.1002/hbm.20111 · Cited by 202
Self-citationControl of prepotent responses by the superior medial frontal cortex
CHEN, C., Muggleton, N. G., Tzeng, O. J. L., Hung, D. L., & Juan, C.-H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.005 · Cited by 202
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
Mirabella, G., Pani, P., & Ferraina, S. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00995.2010 · Cited by 189
Expectations and violations: Delineating the neural network of proactive inhibitory control
Zandbelt, B. B., Bloemendaal, M., Neggers, S. F. W., Kahn, R. S., & Vink, M. (2012) · Human Brain Mapping · doi:10.1002/hbm.22047 · Cited by 186
Self-citationGrounding Object Concepts in Perception and Action: Evidence from FMRI Studies of Tools
Beauchamp, M. S., & Martin, A. D. (2007) · Cortex · doi:10.1016/s0010-9452(08)70470-2 · Cited by 173
Selective inhibition of movement
Coxon, J. P., Stinear, C. M., & Byblow, W. D. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01284.2006 · Cited by 173
Engagement of large-scale networks is related to individual differences in inhibitory control
Congdon, E. L., Mumford, J. A., Cohen, J. R., Galván, A., Aron, A. R., Xue, G., Miller, E. N., & Poldrack, R. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.062 · Cited by 170
Buch, E. R., Mars, R. B., Boorman, E. D., & Rushworth, M. F. S. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4882-09.2010 · Cited by 167
Mars, R. B., Klein-Flügge, M. C., Neubert, F.-X., Olivier, E., Buch, E. R., Boorman, E. D., & Rushworth, M. F. S. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1396-09.2009 · Cited by 161
Independent component analysis of fMRI data in the complex domain
Calhoun, V. D., Adalı, T., Pearlson, G. D., van Zijl, P. C. M., & Pekar, J. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10202 · Cited by 146
Zandbelt, B. B., van Buuren, M., Kahn, R. S., & Vink, M. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.07.028 · Cited by 126
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
Self-citationVink, M., Zandbelt, B. B., Gladwin, T., Hillegers, M., Hoogendam, J. M., van den Wildenberg, W. P. M., Du Plessis, S., & Kahn, R. S. (2014) · Human Brain Mapping · doi:10.1002/hbm.22483 · Cited by 116
Self-citationReliability, Accuracy, and Refractoriness of a Transit Reaction
Slater-Hammel, A. T. (1960) · Research Quarterly American Association for Health Physical Education and Recreation · doi:10.1080/10671188.1960.10613098 · Cited by 110
Duvernoy, H. M. (1995) · Medical Entomology and Zoology · Cited by 108
Multimodal imaging of functional networks and event-related potentials in performance monitoring
Huster, R. J., Eichele, T., Enriquez‐Geppert, S., Wollbrink, A., Kugel, H., Konrad, C., & Pantev, C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.039 · Cited by 100
Spatial ICA reveals functional activity hidden from traditional fMRI GLM-based analyses
Xu, J., Potenza, M. N., & Calhoun, V. D. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00154 · Cited by 90
Mattia, M., Spadacenta, S., Pavone, L., Quarato, P. P., Esposito, V., Sparano, A., Sebastiano, F., Gennaro, G. D., Morace, R., Cantore, G., et al. (2012) · Frontiers in Neuroengineering · doi:10.3389/fneng.2012.00012 · Cited by 83
Preparing for Selective Inhibition within Frontostriatal Loops
Smittenaar, P., Guitart‐Masip, M., Lutti, A., & Dolan, R. J. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2167-13.2013 · Cited by 81
Xu, J., Zhang, S., Calhoun, V. D., Monterosso, J. R., Li, C. R., Worhunsky, P. D., Stevens, M. C. G., Pearlson, G. D., & Potenza, M. N. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.038 · Cited by 72
Post-stop-signal adjustments: Inhibition improves subsequent inhibition.
Bissett, P. G., & Logan, G. D. (2012) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0026778 · Cited by 49
Wu, X., Lu, J., Chen, K., Long, Z., Wang, X., Shu, H., Li, K., Liu, Y., & Yao, L. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.050 · Cited by 42
Nash Unsworth, A., Brewer, G. A., & Spillers, G. J. (2011) · Psychonomic Bulletin & Review · doi:10.3758/s13423-011-0165-y · Cited by 37
Jang, S. H., & Hong, J. H. (2011) · Neuroscience Letters · doi:10.1016/j.neulet.2011.10.069 · Cited by 35
Effects of probability bias in response readiness and response inhibition on reaching movements
Federico, P., & Mirabella, G. (2014) · Experimental Brain Research · doi:10.1007/s00221-014-3846-8 · Cited by 26
Contributive sources analysis: A measure of neural networks' contribution to brain activations
Beldzik, E., Domagalik, A., Daselaar, S. M., Fąfrowicz, M., Froncisz, W., Ogińska, H., & Marek, T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.014 · Cited by 24
Huang, Y., & Rothwell, J. C. (2007) · KARGER eBooks · doi:10.1159/000101038 · Cited by 21
Flagged first, then by citations
Research works printed but not linked: 1
- McKeown, 1998, Independent component analysis of fMRI data: examining the assumptions, Hum. Brain Mapp.
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Sorted by citations
The dual systems model: Review, reappraisal, and reaffirmation
Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.010 · Cited by 867
“The effective integration of these processes relies not only on the functional recruitment of implicated brain regions, but also on the strength of connectivity among them (Hwang et al., 2010; van Belle et al., 2014).”
On testing for spatial correspondence between maps of human brain structure and function
Alexander-Bloch, A. F., Shou, H., Liu, S., Satterthwaite, T. D., Glahn, D. C., Shinohara, R. T., Vandekar, S. N., & Raznahan, A. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.070 · Cited by 947
A fronto–striato–subthalamic–pallidal network for goal-directed and habitual inhibition
Jahanshahi, M., Obeso, I., Rothwell, J. C., & Obeso, J. A. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn4038 · Cited by 521
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Zhang, R., Geng, X., & Lee, T. M. C. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1443-x · Cited by 398
The Right Superior Frontal Gyrus and Individual Variation in Proactive Control of Impulsive Response
Hu, S., Ide, J. S., Zhang, S., & Li, C. R. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1175-16.2016 · Cited by 237
Metadata
- Authors
- van Belle, J., Vink, M., Durston, S., & Zandbelt, B. B.
- Affiliations
- University Medical Center Utrecht (NL)
- Vanderbilt University (US)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-12
- Volume
- 103
- Pages
- 65-74
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1987055966
- Cited by
- 141
- References
- 82
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 11 · 2023: 8 · 2022: 14 · 2021: 15 · 2020: 16 · 2019: 11 · 2018: 12 · 2017: 7 · 2016: 17 · 2015: 10 · 2014: 1
- FWCI
- 6.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- 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
- response inhibition, proactive inhibition, reactive inhibition, inhibitory control, artificial neural networks, stop-signal task, frontal network, superior parietal lobule, dorsolateral prefrontal cortex, parietal cortex, right hemisphere lateralization, temporoparietal junction, inferior frontal gyrus, putamen, dorsal premotor cortex
- MeSH terms
- Adult, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Reactive Inhibition
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