A Basal Forebrain-Cingulate Circuit in Macaques Decides It Is Time to Act
Open accessAbstract
The medial frontal cortex has been linked to voluntary action, but an explanation of why decisions to act emerge at particular points in time has been lacking. We show that, in macaques, decisions about whether and when to act are predicted by a set of features defining the animal's current and past context; for example, respectively, cues indicating the current average rate of reward and recent previous voluntary action decisions. We show that activity in two brain areas-the anterior cingulate cortex and basal forebrain-tracks these contextual factors and mediates their effects on behavior in distinct ways. We use focused transcranial ultrasound to selectively and effectively stimulate deep in the brain, even as deep as the basal forebrain, and demonstrate that alteration of activity in the two areas changes decisions about when to act.
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(2013) · Cited by 44,563 · see citing works
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,768 · see citing works
Reconsidering Baron and Kenny: myths and truths about mediation analysis
Zhao, X., Lynch, J. G., & Chen, Q. (2010) · Journal of Consumer Research · doi:10.1086/651257 · Cited by 12,583 · see citing works
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314 · see citing works
nlme : Linear and nonlinear mixed effects models
DebRoy, S. (2006) · Medical Entomology and Zoology · Cited by 10,009 · see citing works
nlme: Linear and Nonlinear Mixed Effects Models
Pinheiro, J., R Core Team, & Bates, D. (1999) · doi:10.32614/cran.package.nlme · Cited by 6,867 · see citing works
Linear Mixed-Effects Models using 'Eigen' and S4
Bates, D. M., Maechler, M., Bolker, B. M., & Walker, S. C. (2015) · Cited by 5,924 · see citing works
Optimal foraging, the marginal value theorem
Charnov, E. L. (1976) · Theoretical Population Biology · doi:10.1016/0040-5809(76)90040-x · Cited by 5,374 · see citing works
The minimal preprocessing pipelines for the Human Connectome Project
Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., Xu, J., Jbabdi, S., Webster, M., Polimeni, J. R., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.127 · Cited by 5,253 · see citing works
Analysis of Tissue and Arterial Blood Temperatures in the Resting Human Forearm
Pennes, H. H. (1948) · Journal of Applied Physiology · doi:10.1152/jappl.1948.1.2.93 · Cited by 4,655 · see citing works
Analysis of Tissue and Arterial Blood Temperatures in the Resting Human Forearm
Pennes, H. H. (1998) · Journal of Applied Physiology · doi:10.1152/jappl.1998.85.1.5 · Cited by 3,988 · see citing works
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 · see citing works
lme4: Linear Mixed-Effects Models using 'Eigen' and S4
Bates, D. M., Maechler, M., Bolker, B. M., Walker, S. C., Ly, A., & Jagan, M. (2003) · doi:10.32614/cran.package.lme4 · Cited by 2,389 · see citing works
(1986) · Cited by 2,022 · see citing works
Mesulam, M. ‐., Mufson, E. J., Levey, A. I., & Wainer, B. H. (1983) · Journal of Comparative Neurology · doi:10.1002/cne.902140206 · Cited by 1,962 · see citing works
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786 · see citing works
Physical properties of tissue : a comprehensive reference book
Duck, F. A. (1990) · Cited by 1,675 · see citing works
Lateral habenula as a source of negative reward signals in dopamine neurons
Matsumoto, M., & Hikosaka, O. (2007) · Nature · doi:10.1038/nature05860 · Cited by 1,292 · see citing works
Tonic dopamine: Opportunity costs and the control of response vigor
Niv, Y., Daw, N. D., Joel, D., & Dayan, P. (2007) · Psychopharmacology · doi:10.1007/s00213-006-0502-4 · Cited by 1,133 · see citing works
The habenula: from stress evasion to value-based decision-making
Hikosaka, O. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2866 · Cited by 955 · see citing works
Optimal decision making and the anterior cingulate cortex
Kennerley, S. W., Walton, M. E., Behrens, T. E. J., Buckley, M. J., & Rushworth, M. F. S. (2006) · Nature Neuroscience · doi:10.1038/nn1724 · Cited by 948 · see citing works
Self-citationTools of the trade: psychophysiological interactions and functional connectivity
O’Reilly, J. X., Woolrich, M. W., Behrens, T. E. J., Smith, S. M., & Johansen-Berg, H. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss055 · Cited by 765 · see citing works
Basal Forebrain Cholinergic Circuits and Signaling in Cognition and Cognitive Decline
Ballinger, E. C., Ananth, M. R., Talmage, D. A., & Role, L. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.09.006 · Cited by 735 · see citing works
Decision Making as a Window on Cognition
Shadlen, M. N., & Kiani, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.047 · Cited by 660 · see citing works
Rapid signalling in distinct dopaminergic axons during locomotion and reward
Howe, M. W., & Dombeck, D. A. (2016) · Nature · doi:10.1038/nature18942 · Cited by 597 · see citing works
Aubry, J., Tanter, M., Pernot, M., Thomas, J.-L., & Fink, M. (2003) · The Journal of the Acoustical Society of America · doi:10.1121/1.1529663 · Cited by 584 · see citing works
Self-citationDopamine neuron activity before action initiation gates and invigorates future movements
da Silva, J. A., Tecuapetla, F., Paixão, V., & Costa, R. M. (2018) · Nature · doi:10.1038/nature25457 · Cited by 550 · see citing works
Neuronal basis of sequential foraging decisions in a patchy environment
Hayden, B. Y., Pearson, J. M., & Platt, M. L. (2011) · Nature Neuroscience · doi:10.1038/nn.2856 · Cited by 513 · see citing works
Dorsal Anterior Cingulate Cortex: A Bottom-Up View
Heilbronner, S. R., & Hayden, B. Y. (2016) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-070815-013952 · Cited by 469 · see citing works
Neurons in the frontal lobe encode the value of multiple decision variables
Kennerley, S. W., Dahmubed, A. F., Lara, A. H., & Wallis, J. D. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21100 · Cited by 453 · see citing works
Value, search, persistence and model updating in anterior cingulate cortex
Kolling, N., Wittmann, M. K., Behrens, T. E. J., Boorman, E. D., Mars, R. B., & Rushworth, M. F. S. (2016) · Nature Neuroscience · doi:10.1038/nn.4382 · Cited by 439 · see citing works
Self-citationHierarchical Linear Models: Applications and Data Analysis Methods
Calvin, J. A., Bryk, A. S., & Raudenbush, S. W. (1994) · Technometrics · doi:10.2307/1269211 · Cited by 422 · see citing works
The organization of dorsal frontal cortex in humans and macaques
Sallet, J., Mars, R. B., Noonan, M. P., Neubert, F.-X., Jbabdi, S., O'Reilly, J. X., Filippini, N., Thomas, A. G., & Rushworth, M. F. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5108-12.2013 · Cited by 416 · see citing works
Self-citationAttenuation, scattering, and absorption of ultrasound in the skull bone
Pinton, G., Aubry, J., Bossy, E., Muller, M. M., Pernot, M., & Tanter, M. (2011) · Medical Physics · doi:10.1118/1.3668316 · Cited by 408 · see citing works
Self-citationFolloni, D., Verhagen, L., Mars, R. B., Fouragnan, E. F., Constans, C., Aubry, J., Rushworth, M. F. S., & Sallet, J. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.019 · Cited by 403 · see citing works
Self-citationNeubert, F.-X., Mars, R. B., Sallet, J., & Rushworth, M. F. S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1410767112 · Cited by 365 · see citing works
Self-citationSeo, H., & Lee, D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.2369-07.2007 · Cited by 324 · see citing works
Reward Pays the Cost of Noise Reduction in Motor and Cognitive Control
Manohar, S., Chong, T. T. ‐., Apps, M. A. J., Batla, A., Stamelou, M., Jarman, P., Bhatia, K. P., & Masud Husain, B. (2015) · Current Biology · doi:10.1016/j.cub.2015.05.038 · Cited by 323 · see citing works
Offline impact of transcranial focused ultrasound on cortical activation in primates
Verhagen, L., Galléa, C., Folloni, D., Constans, C., Jensen, D. E. A., Ahnine, H., Roumazeilles, L., Santin, M. D., Ahmed, B., Lehéricy, S., et al. (2019) · eLife · doi:10.7554/elife.40541 · Cited by 319 · see citing works
Self-citationUltrasonic absorption and attenuation in mammalian tissues
Goss, S. A., Frizzell, L. A., & DUNN, F. L. (1979) · Ultrasound in Medicine & Biology · doi:10.1016/0301-5629(79)90086-3 · Cited by 314 · see citing works
Computational Modeling in Cognition: Principles and Practice
Lewandowsky, S., & Farrell, S. (2011) · Sage eBooks · doi:10.4135/9781483349428 · Cited by 306 · see citing works
Functional MRI of macaque monkeys performing a cognitive set-shifting task
Nakahara, K., Hayashi, T., Konishi, S., & Miyashita, Y. (2002) · Science · doi:10.1126/science.1067653 · Cited by 286 · see citing works
Neural antecedents of self-initiated actions in secondary motor cortex
Murakami, M., Vicente, M. I., Costa, G. M., & Mainen, Z. F. (2014) · Nature Neuroscience · doi:10.1038/nn.3826 · Cited by 272 · see citing works
The will to persevere Induced by electrical stimulation of the human cingulate gyrus
Parvizi, J., Rangarajan, V., Shirer, W. R., Desai, N., & Greicius, M. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.057 · Cited by 254 · see citing works
Cox, B., Kara, S., Arridge, S., et al. (2007) · The Journal of the Acoustical Society of America · doi:10.1121/1.2717409 · Cited by 249 · see citing works
Network Resets in Medial Prefrontal Cortex Mark the Onset of Behavioral Uncertainty
Karlsson, M. P., Tervo, D. G. R., & Karpova, A. Y. (2012) · Science · doi:10.1126/science.1226518 · Cited by 236 · see citing works
Explicit B-spline regularization in diffeomorphic image registration
Tustison, N. J., & Avants, B. (2013) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2013.00039 · Cited by 224 · see citing works
Triple dissociation of attention and decision computations across prefrontal cortex
Hunt, L. T., Malalasekera, W. M. N., de Berker, A. O., Miranda, B., Farmer, S. F., Behrens, T. E. J., & Kennerley, S. W. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0239-5 · Cited by 222 · see citing works
Predictive Accuracy and Explained Variation in Cox Regression
SCHEMPER, M., & Henderson, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00249.x · Cited by 221 · see citing works
Fouragnan, E. F., Chau, B. K. H., Folloni, D., Kolling, N., Verhagen, L., Klein-Flügge, M. C., Tankelevitch, L., Papageorgiou, G., Aubry, J., Sallet, J., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0375-6 · Cited by 215 · see citing works
Self-citationThe Basal Forebrain Regulates Global Resting-State fMRI Fluctuations
Turchi, J. N., Chang, C. E., Ye, F. Q., Russ, B. E., Yu, D. K., Cortes, C. R., Monosov, I. E., Duyn, J. H., & Leopold, D. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.032 · Cited by 213 · see citing works
Specific basal forebrain-cortical cholinergic circuits coordinate cognitive operations
Záborszky, L., Gombkoto, P., Varsanyi, P., Gielow, M. R., Poe, G., Role, L. W., Ananth, M., Rajebhosale, P., Talmage, D. A., Hasselmo, M. E., et al. (2018) · The Journal of Neuroscience · doi:10.1523/jneurosci.1676-18.2018 · Cited by 202 · see citing works
The functions of the medial premotor cortex
Thaler, D., Chen, Y.-C., Nixon, P. D., Stern, C. E., & Passingham, R. E. (1995) · Experimental Brain Research · doi:10.1007/bf00230649 · Cited by 193 · see citing works
Decision Making: The Neuroethological Turn
Pearson, J. M., Watson, K. K., & Platt, M. L. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.037 · Cited by 184 · see citing works
Beyond mean response latency: Response time distributional analyses of semantic priming
Balota, D. A., Yap, M. J.-M., Cortese, M. J., & Watson, J. M. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2007.10.004 · Cited by 169 · see citing works
Mohammadjavadi, M., Ye, P. P., Xia, A., et al. (2019) · Brain stimulation · doi:10.1016/j.brs.2019.03.005 · Cited by 169 · see citing works
Visual Field Map Clusters in Macaque Extrastriate Visual Cortex
Kolster, H., Mandeville, J. B., Arsenault, J. T., Ekstrom, L. B., Wald, L. L., & Vanduffel, W. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0518-09.2009 · Cited by 168 · see citing works
Mars, R. B., Sallet, J., Neubert, F.-X., & Rushworth, M. F. S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1302956110 · Cited by 165 · see citing works
Self-citationChau, B. K. H., Sallet, J., Papageorgiou, G. K., Noonan, M. P., Bell, A. H., Walton, M. E., & Rushworth, M. F. S. (2015) · Neuron · doi:10.1016/j.neuron.2015.08.018 · Cited by 159 · see citing works
Self-citationPharmacological Fingerprints of Contextual Uncertainty
Marshall, L., Mathys, C., Ruge, D., de Berker, A. O., Dayan, P., Stephan, K. E., & Bestmann, S. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002575 · Cited by 158 · see citing works
Wittmann, M. K., Kolling, N., Akaishi, R., Chau, B. K. H., Brown, J. W., Nelissen, N., & Rushworth, M. F. S. (2016) · Nature Communications · doi:10.1038/ncomms12327 · Cited by 142 · see citing works
Self-citationThe Effects of Cognitive Control and Time on Frontal Beta Oscillations
Stoll, F. M., Wilson, C. R. E., Faraut, M. C. M., Vezoli, J., Kenneth Knoblauch, B., & Procyk, E. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv006 · Cited by 115 · see citing works
Distinguishing common and task-specific processes in word identification: A matter of some moment?
Andrews, S., & Heathcote, A. (2001) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.27.2.514 · Cited by 115 · see citing works
Space representation for eye movements is more contralateral in monkeys than in humans
Kagan, I., Iyer, A., Lindner, A., & Andersen, R. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002825107 · Cited by 103 · see citing works
Constans, C., Matéo, P., Tanter, M., & Aubry, J. (2017) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aaa15c · Cited by 103 · see citing works
Self-citationExploration Disrupts Choice-Predictive Signals and Alters Dynamics in Prefrontal Cortex
Ebitz, R. B., Albarran, E., & Moore, T. (2017) · Neuron · doi:10.1016/j.neuron.2017.12.007 · Cited by 101 · see citing works
Different population dynamics in the supplementary motor area and motor cortex during reaching
Lara, A. H., Cunningham, J. P., & Churchland, M. M. (2018) · Nature Communications · doi:10.1038/s41467-018-05146-z · Cited by 101 · see citing works
Ghashghaei, H. T., & Barbas, H. (2001) · Neuroscience · doi:10.1016/s0306-4522(00)00585-6 · Cited by 100 · see citing works
Kolster, H., Janssens, T., Orban, G. A., & Vanduffel, W. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3288-13.2014 · Cited by 99 · see citing works
Murakami, M., Shteingart, H., Loewenstein, Y., & Mainen, Z. F. (2017) · Neuron · doi:10.1016/j.neuron.2017.04.040 · Cited by 90 · see citing works
Cavanagh, S. E., Wallis, J. D., Kennerley, S. W., & Hunt, L. T. (2016) · eLife · doi:10.7554/elife.18937 · Cited by 88 · see citing works
Meder, D., Kolling, N., Verhagen, L., Wittmann, M. K., Scholl, J., Madsen, K. H., Hulme, O. J., Behrens, T. E. J., & Rushworth, M. F. S. (2017) · Nature Communications · doi:10.1038/s41467-017-02169-w · Cited by 84 · see citing works
Self-citationCoordination of rapid cholinergic and dopaminergic signaling in striatum during spontaneous movement
Howe, M. W., Ridouh, I., Mascaro, A. L. A., Larios, A., Azcorra, M., & Dombeck, D. A. (2019) · eLife · doi:10.7554/elife.44903 · Cited by 84 · see citing works
Specific frontal neural dynamics contribute to decisions to check
Stoll, F. M., Fontanier, V., & Procyk, E. (2016) · Nature Communications · doi:10.1038/ncomms11990 · Cited by 83 · see citing works
Pulkkinen, A., Huang, Y., Song, J., et al. (2011) · Physics in Medicine and Biology · doi:10.1088/0031-9155/56/15/003 · Cited by 79 · see citing works
Capturing the temporal evolution of choice across prefrontal cortex
Hunt, L. T., Behrens, T. E. J., Hosokawa, T., Wallis, J. D., & Kennerley, S. W. (2015) · eLife · doi:10.7554/elife.11945 · Cited by 74 · see citing works
Fritz, H.-C., Ray, N. J., Dyrba, M., Sorg, C., Teipel, S. J., & Grothe, M. J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24417 · Cited by 71 · see citing works
Thermal Regulation of the Brain—An Anatomical and Physiological Review for Clinical Neuroscientists
Wang, H., Kim, M., Normoyle, K. P., & Llano, D. A. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00528 · Cited by 69 · see citing works
Constans, C., Deffieux, T., Pouget, P., Tanter, M., & Aubry, J. (2017) · IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2017.2651648 · Cited by 63 · see citing works
Self-citationMonosov, I., Leopold, D., & Hikosaka, O. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0051-15.2015 · Cited by 57 · see citing works
Segregation of the human basal forebrain using resting state functional MRI
Markello, R. D., Spreng, R. N., Luh, W., Anderson, A. K., & Rosa, E. D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.042 · Cited by 57 · see citing works
Acetylcholine Mediates Behavioral and Neural Post-Error Control
Danielmeier, C., Allen, E. A., Jocham, G., Onur, O. A., Eichele, T., & Ullsperger, M. (2015) · Current Biology · doi:10.1016/j.cub.2015.04.022 · Cited by 53 · see citing works
Papageorgiou, G., Sallet, J., Wittmann, M. K., Chau, B. K. H., Schüffelgen, U., Buckley, M. J., & Rushworth, M. F. S. (2017) · Nature Communications · doi:10.1038/s41467-017-01833-5 · Cited by 49 · see citing works
Self-citationNovelty, Salience, and Surprise Timing Are Signaled by Neurons in the Basal Forebrain
Zhang, K., Chen, C. D., & Monosov, I. E. (2018) · Current Biology · doi:10.1016/j.cub.2018.11.012 · Cited by 48 · see citing works
Avila, I., & Lin, S. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001811 · Cited by 43 · see citing works
San‐Galli, A., Varazzani, C., Abitbol, R., Pessiglione, M., & Bouret, S. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw351 · Cited by 25 · see citing works
Basal forebrain neuronal inhibition enables rapid behavioral stopping
Mayse, J. D., Nelson, G. M., Avila, I., Gallagher, M., & Lin, S. (2015) · Nature Neuroscience · doi:10.1038/nn.4110 · Cited by 24 · see citing works
Hearing out Ultrasound Neuromodulation
Airan, R. D., & Pauly, K. B. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.031 · Cited by 23 · see citing works
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Research works printed but not linked: 1
- Krebs D.W.S.R. Foraging Theory by David W. Stephens 1987 Princeton University Press
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Medial and orbital frontal cortex in decision-making and flexible behavior
Klein-Flügge, M. C., Bongioanni, A., & Rushworth, M. F. S. (2022) · Neuron · doi:10.1016/j.neuron.2022.05.022 · Cited by 244 · see citing works
Self-citationAnterior Cingulate Cortex and the Control of Dynamic Behavior in Primates
Monosov, I. E., Haber, S. N., Leuthardt, E. C., & Jezzini, A. (2020) · Current Biology · doi:10.1016/j.cub.2020.10.009 · Cited by 118 · see citing works
Folloni, D., Fouragnan, E., Wittmann, M. K., Roumazeilles, L., Tankelevitch, L., Verhagen, L., Attali, D., Aubry, J.-F., Sallet, J., & Rushworth, M. F. S. (2021) · Science Advances · doi:10.1126/sciadv.abg7700 · Cited by 75 · see citing works
A habenula-insular circuit encodes the willingness to act
Khalighinejad, N., Garrett, N., Priestley, L., Lockwood, P., & Rushworth, M. F. S. (2021) · Nature Communications · doi:10.1038/s41467-021-26569-1 · Cited by 32 · see citing works
Self-citationHuman decisions about when to act originate within a basal forebrain–nigral circuit
Khalighinejad, N., Priestley, L., Jbabdi, S., & Rushworth, M. F. S. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921211117 · Cited by 29 · see citing works
Self-citationComplementary roles of serotonergic and cholinergic systems in decisions about when to act
Khalighinejad, N., Manohar, S., Husain, M., & Rushworth, M. F. S. (2022) · Current Biology · doi:10.1016/j.cub.2022.01.042 · Cited by 29 · see citing works
Self-citationCortico-spinal modularity in the parieto-frontal system: A new perspective on action control
Bufacchi, R. J., Battaglia-Mayer, A., Iannetti, G. D., & Caminiti, R. (2023) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2023.102537 · Cited by 22 · see citing works
Fundamental features of social environments determine rate of social affiliation
Garud, S., Rascu, M., Hamilton, S., Yu, I., Rushworth, M. F. S., & Klein-Flügge, M. C. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2506243122 · Cited by 2 · see citing works
Self-citationD’Ambrogio, S., Grohn, J., Khalighinejad, N., Mattar, M. G., Hunt, L., & Rushworth, M. F. S. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02342-9 · Cited by 1 · see citing works
Self-citation
- Authors
- Khalighinejad, N., Bongioanni, A., Verhagen, L., Folloni, D., Attali, D., Aubry, J.-F., Sallet, J., & Rushworth, M. F. S.
- Affiliations
- University of Oxford (GB)
- Radboud University Nijmegen (NL)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Khalighinejad, Nima
- ORCID
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 105
- Issue
- 2
- Pages
- 370-384.e8
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC6975166
- OpenAlex
- W2981615366
- Cited by
- 90
- References
- 88
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 15 · 2023: 14 · 2022: 13 · 2021: 23 · 2020: 6 · 2019: 1
- FWCI
- 6.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Neuron (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Funders
- Agence Nationale de la Recherche (ANR-10-EQPX-15)
- Wellcome Trust (105238/Z/14/Z, 203139/Z/16/Z, WT101092MA, 105651/Z/14/Z)
- Fondation Bettencourt Schueller
- Medical Research Council (MR/P024955/1, MRC G0902373, G0902373)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- anterior cingulate cortex, basal forebrain, action timing, medial frontal cortex, contextual cues, reward rate, voluntary action, macaque, neural circuits
- MeSH terms
- Ultrasonic Waves, Acoustic Stimulation, Animals, Cues, Decision Making, Gyrus Cinguli, Macaca, Magnetic Resonance Imaging, Male, Neural Pathways, Time Factors, Deep Brain Stimulation, Functional Neuroimaging, Basal Forebrain
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 ›
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