The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.
Is the rostro-caudal axis of the frontal lobe hierarchical?
Open accessAbstract
The frontal lobes in the brain are a component of the cerebral system that supports goal-directed behaviour. However, their functional organization remains controversial. Recent studies have reported rostro-caudal distinctions in frontal cortex activity based on the abstractness of action representations. In addition, some have proposed that these differences reflect a hierarchical organization, whereby anterior frontal regions influence processing by posterior frontal regions during the realization of abstract action goals as motor acts. However, few have considered whether the anatomy and physiology of the frontal lobes support such a scheme. To address this gap, this Review surveys anatomical, neuroimaging, electrophysiological and developmental findings, and considers the question: could the organization of the frontal cortex be hierarchical?
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
“Rather than the more rostral areas being further along in the processing hierarchy [18, 19], two distinct hierarchical gradients of temporal- and feature-related abstraction converge in middle lateral prefrontal cortex [60].”
From Situating the default-mode network along a principal gradient of macroscale cortical organization (2016) · cites this paper as [19]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“dients that have already been described within the temporal and frontal lobes [12-15, 17-19].”
From Situating the default-mode network along a principal gradient of macroscale cortical organization (2016) · cites this paper as [19]
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
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. G. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.1998.712192 · Cited by 27,225
Reinforcement Learning: An Introduction
Sutton, R. S., & Barto, A. (2005) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2004.842673 · Cited by 25,268
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604
Brain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552
(2005) · Choice Reviews Online · doi:10.5860/choice.43-0626 · Cited by 4,726
Plans and the structure of behavior.
Miller, G. A., Galanter, E., & Pribram, K. H. (1960) · doi:10.1037/10039-000 · Cited by 4,630
SCRIPTS, PLANS, GOALS, AND UNDERSTANDING
Schank, R. C., & Abelson, R. P. (1988) · Elsevier eBooks · doi:10.1016/b978-1-4832-1446-7.50019-4 · Cited by 4,544
(1991) · Choice Reviews Online · doi:10.5860/choice.28-5376 · Cited by 4,218
Research works printed but not linked: 3
- Christoff, K. & Keramatian, K. in Perspectives on Rule-Guided Behavior (eds Bunge, S. A. & Wallis, J. D.) (Oxford University Press, New York, 2007).
- Brodmann, K. Beiträge zur histologischen Lokalisation der Grosshirnrinde. VI. Mitteilung. Die Cortexgliederung des Menschen. J. Psychol. Neurol. (Lzp.) 10, 231–246 (1908) (in German).
- Brodmann, K. Beiträge zur histologischen Lokalisation der Grosshirnrinde. III. Mitteilung. Die Rindenfelder der niederen Affen. J. Psychol. Neurol. (Lzp.) 4, 177–226 (1905) (in German).
Cited by
Sorted by citations
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124
The expected value of control: an integrative theory of anterior cingulate cortex function
Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.007 · Cited by 2,321
Situating the default-mode network along a principal gradient of macroscale cortical organization
Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., Eickhoff, S. B., Castellanos, F. X., Petrides, M., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608282113 · Cited by 2,321
The neural and computational bases of semantic cognition
Ralph, M. A. L., Jefferies, E., Patterson, K., & Rogers, T. T. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.150 · Cited by 1,864
Friedman, N. P., & Miyake, A. (2017) · Cortex · doi:10.1016/j.cortex.2016.04.023 · Cited by 1,834
The Cognitive Neuroscience of Working Memory
D'Esposito, M., & Postle, B. R. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015031 · Cited by 1,653
Self-citationMcLaughlin, K. A., Sheridan, M. A., & Lambert, H. K. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.10.012 · Cited by 1,389
“While association cortex is likely to be organized along governing principals (Badre and D’Esposito, 2009), these principals continue to be investigated and are thought to be different to the organizational principals of primary sensory cortex (e.”
BackgroundAn opportunity cost model of subjective effort and task performance
Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12003196 · Cited by 1,381
A hierarchy of intrinsic timescales across primate cortex
Murray, J. D., Bernacchia, A., Freedman, D. J., Romo, R., Wallis, J. D., Cai, X., Padoa-Schioppa, C., Pasternak, T., Seo, H., Lee, D., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3862 · Cited by 990
Large-Scale Gradients in Human Cortical Organization
Huntenburg, J. M., Bazin, P., & Margulies, D. S. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.11.002 · Cited by 989
Broad domain generality in focal regions of frontal and parietal cortex
Fedorenko, E., Duncan, J., & Kanwisher, N. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315235110 · Cited by 952
The evolution of distributed association networks in the human brain
Buckner, R. L., & Krienen, F. M. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.017 · Cited by 836
Sescousse, G., Caldú, X., Segura, B., & Dreher, J.-C. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.02.002 · Cited by 782
Default mode network mechanisms of transcranial magnetic stimulation in depression
Liston, C., Chen, A. C., Zebley, B. D., Drysdale, A. T., Gordon, R., Leuchter, B., Voss, H. U., Casey, B. J., Etkin, A., & Dubin, M. J. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.01.023 · Cited by 763
Emotion and the prefrontal cortex: an integrative review
Dixon, M. L., Thiruchselvam, R., Todd, R., & Christoff, K. (2017) · Psychological Bulletin · doi:10.1037/bul0000096 · Cited by 745
Spreng, R. N., Sepulcre, J., Turner, G. R., Stevens, W. D., & Schacter, D. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00281 · Cited by 668
Decision Making as a Window on Cognition
Shadlen, M. N., & Kiani, R. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.047 · Cited by 694
Burt, J. B., Demirtaş, M., Eckner, W. J., Navejar, N. M., Ji, J. L., Martin, W. J., Bernacchia, A., Anticevic, A., & Murray, J. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0195-0 · Cited by 657
Neurocognitive Architecture of Working Memory
Eriksson, J., Vogel, E. K., Lansner, A., Bergström, F., & Nyberg, L. H. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.020 · Cited by 709
Levy, B. J., & Wagner, A. D. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.05958.x · Cited by 625
Frontal Cortex and the Hierarchical Control of Behavior
Badre, D., & Nee, D. E. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.11.005 · Cited by 611
Self-citationDixon, M. L., De La Vega, A., Mills, C., Andrews-Hanna, J., Spreng, R. N., Cole, M. W., & Christoff, K. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715766115 · Cited by 595
The neuroscience of prejudice and stereotyping
Amodio, D. M. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3800 · Cited by 618
Topographic maps in human frontal and parietal cortex
Silver, M. A., & Kästner, S. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.08.005 · Cited by 564
A Meta-analysis of Executive Components of Working Memory
Nee, D. E., Brown, J. W., Askren, M. K., Berman, M. G., Demiralp, E., Krawitz, A., & Jonides, J. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs007 · Cited by 544
Noonan, K. A., Jefferies, E., Visser, M., & Lambon Ralph, M. A. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00442 · Cited by 543
Stone toolmaking and the evolution of human culture and cognition
Stout, D. (2011) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0369 · Cited by 512
The ecology of human fear: survival optimization and the nervous system
Mobbs, D., Hagan, C. C., Dalgleish, T., Silston, B., & Prévost, C. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00055 · Cited by 498
Insights into Human Behavior from Lesions to the Prefrontal Cortex
Szczepanski, S. M., & Knight, R. T. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.011 · Cited by 529
Lesion mapping of cognitive control and value-based decision making in the prefrontal cortex
Gläscher, J., Adolphs, R., Damasio, H., Bechara, A., Rudrauf, D., Calamia, M., Paul, L. K., & Tranel, D. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1206608109 · Cited by 476
The Structure of Cognition: Attentional Episodes in Mind and Brain
Duncan, J. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.015 · Cited by 471
The Geometric Structure of the Brain Fiber Pathways
Wedeen, V. J., Rosene, D. L., Wang, R., Dai, G., Mortazavi, F., Hagmann, P., Kaas, J. H., & Tseng, W.-Y. I. (2012) · Science · doi:10.1126/science.1215280 · Cited by 445
Functional Specialization and Flexibility in Human Association Cortex
Yeo, B. T. T., Krienen, F. M., Eickhoff, S. B., Yaakub, S. N., Fox, P. T., Buckner, R. L., Asplund, C. L., & Chee, M. W. L. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu217 · Cited by 448
Navigating the Affordance Landscape: Feedback Control as a Process Model of Behavior and Cognition
Pezzulo, G., & Cisek, P. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.03.013 · Cited by 419
Cieslik, E. C., Zilles, K., Caspers, S., Roski, C., Kellermann, T. S., Jakobs, O., Langner, R., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs256 · Cited by 391
“Evidence from functional neuroimaging studies has prompted the proposal of models featuring a topographical organization along an anterior-posterior axis in the PFC (e.g. Koechlin et al. 2003; Koechlin and Summerfield 2007; Badre and D’Esposito 2009; Taren et al. 2011).”
BackgroundMore than one pathway to action understanding
Kilner, J. M. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.06.005 · Cited by 399
Bridging the Gap between Connectome and Transcriptome
Fornito, A., Arnatkevičiūtė, A., & Fulcher, B. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.10.005 · Cited by 381
Theta and Alpha Oscillations Are Traveling Waves in the Human Neocortex
Zhang, H., Watrous, A. J., Patel, A., & Jacobs, J. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.019 · Cited by 396
Hot and cold executive functions in the brain: A prefrontal-cingular network
Salehinejad, M. A., Ghanavati, E., Rashid, M. H. A., & Nitsche, M. A. (2021) · Brain and Neuroscience Advances · doi:10.1177/23982128211007769 · Cited by 413
Hierarchical active inference: A theory of motivated control
Pezzulo, G., Rigoli, F., & Friston, K. J. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.01.009 · Cited by 334
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
Kim, C., Cilles, S. E., Johnson, N. F., & Gold, B. T. (2012) · Human Brain Mapping · doi:10.1002/hbm.21199 · Cited by 317
Should a Few Null Findings Falsify Prefrontal Theories of Conscious Perception?
Odegaard, B., Knight, R. T., & Lau, H. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.3217-16.2017 · Cited by 316
Cognitive Demands of Lower Paleolithic Toolmaking
Stout, D., Hecht, E. E., Khreisheh, N., Bradley, B., & Chaminade, T. (2015) · PLoS ONE · doi:10.1371/journal.pone.0121804 · Cited by 310
Dumontheil, I. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.07.009 · Cited by 293
Goschke, T. (2014) · International Journal of Methods in Psychiatric Research · doi:10.1002/mpr.1410 · Cited by 293
fMRI studies of successful emotional memory encoding: A quantitative meta-analysis
Murty, V. P., Ritchey, M., Adcock, R. A., & LaBar, K. S. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.07.030 · Cited by 310
Dynamics of cognitive control: Theoretical bases, paradigms, and a view for the future
Gratton, G., Cooper, P., Fabiani, M., Carter, C. S., & Karayanidis, F. (2018) · Psychophysiology · doi:10.1111/psyp.13016 · Cited by 255
Neuronal timescales are functionally dynamic and shaped by cortical microarchitecture
Gao, R., van den Brink, R. L., Pfeffer, T. A., & Voytek, B. (2020) · eLife · doi:10.7554/elife.61277 · Cited by 320
Neural Perspectives on Cognitive Control Development during Childhood and Adolescence
Crone, E. A., & Steinbeis, N. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.01.003 · Cited by 287
Executive Functioning in Schizophrenia
Orellana, G., & Slachevsky, A. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00035 · Cited by 303
Macroscopic gradients of synaptic excitation and inhibition in the neocortex
Wang, X. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-0262-x · Cited by 289
Frontal lobe seizures: From clinical semiology to localization
Bonini, F., McGonigal, A., Trébuchon, A., Gavaret, M., Bartoloméi, F., Giusiano, B., & Chauvel, P. (2013) · Epilepsia · doi:10.1111/epi.12490 · Cited by 276
The cognitive neuroscience of prehension: recent developments
Grafton, S. T. (2010) · Experimental Brain Research · doi:10.1007/s00221-010-2315-2 · Cited by 298
Predicting free choices for abstract intentions
Soon, C. S., He, A. H., Bode, S., & Haynes, J. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1212218110 · Cited by 289
The What and How of prefrontal cortical organization
O’Reilly, R. C. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.05.002 · Cited by 271
Scott-Van Zeeland, A. A., Abrahams, B. S., Alvarez-Retuerto, A. I., Sonnenblick, L. I., Rudie, J. D., Ghahremani, D., Mumford, J. A., Poldrack, R. A., Dapretto, M., Geschwind, D. H., et al. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3001344 · Cited by 252
Shilyansky, C., Williams, L. M., Gyurak, A., Harris, A., Usherwood, T., & Etkin, A. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(16)00012-2 · Cited by 249
Neurobiological roots of language in primate audition: common computational properties
Bornkessel‐Schlesewsky, I., Schlesewsky, M., Small, S. L., & Rauschecker, J. P. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.12.008 · Cited by 247
Nejati, V., Salehinejad, M. A., & Nitsche, M. A. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2017.10.042 · Cited by 243
Yeo, B. T. T., Krienen, F. M., Chee, M. W. L., & Buckner, R. L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.046 · Cited by 247
A distributed, hierarchical and recurrent framework for reward-based choice
Hunt, L. T., & Hayden, B. Y. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.7 · Cited by 245
The hierarchical organization of the lateral prefrontal cortex
Nee, D. E., & D'Esposito, M. (2016) · eLife · doi:10.7554/elife.12112 · Cited by 233
Self-citationWang, P., Kong, R., Kong, X., Liégeois, R., Orbán, C., Deco, G., van den Heuvel, M. P., & Yeo, B. T. T. (2019) · Science Advances · doi:10.1126/sciadv.aat7854 · Cited by 231
Hierarchical processing in music, language, and action: Lashley revisited
Fitch, W. T., & Martins, M. J. D. (2014) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12406 · Cited by 241
Dissociable Contributions of Left and Right Dorsolateral Prefrontal Cortex in Planning
Kaller, C. P., Rahm, B., Spreer, J., Weiller, C., & Unterrainer, J. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq096 · Cited by 245
Neural mechanisms of information storage in visual short-term memory
Serences, J. T. (2016) · Vision Research · doi:10.1016/j.visres.2016.09.010 · Cited by 247
‘Hierarchy’ in the organization of brain networks
Hilgetag, C. C., & Goulas, A. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0319 · Cited by 239
Gerlach, K. D., Spreng, R. N., Gilmore, A. W., & Schacter, D. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.030 · Cited by 224
A framework for understanding the relationship between externally and internally directed cognition
Dixon, M. L., Fox, K. C. R., & Kalina Christoff, A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.05.024 · Cited by 238
Dynamic updating of hippocampal object representations reflects new conceptual knowledge
Mack, M. L., Love, B. C., & Preston, A. R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1614048113 · Cited by 223
The role of domain-general cognitive control in language comprehension
Fedorenko, E. G. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00335 · Cited by 246
Dopaminergic control of the striatum for high-level cognition
Cools, R. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.04.002 · Cited by 232
Late Acheulean technology and cognition at Boxgrove, UK
Stout, D., Apel, J., Commander, J., & Roberts, M. B. (2013) · Journal of Archaeological Science · doi:10.1016/j.jas.2013.10.001 · Cited by 223
Minds and brains of media multitaskers: Current findings and future directions
Uncapher, M. R., & Wagner, A. D. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611612115 · Cited by 217
Genetic topography of brain morphology
Chen, C.-H., Fiecas, M., Gutiérrez, E. D., Panizzon, M. S., Eyler, L. T., Vuoksimaa, E., Thompson, W. K., Fennema-Notestine, C., Hagler, D. J., Jernigan, T. L., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308091110 · Cited by 217
Common and Distinct Mechanisms of Cognitive Flexibility in Prefrontal Cortex
Kim, C., Johnson, N. F., Cilles, S. E., & Gold, B. T. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5923-10.2011 · Cited by 216
Oscillatory dynamics coordinating human frontal networks in support of goal maintenance
Voytek, B., Kayser, A. S., Badre, D., Fegen, D., Chang, E. F., Crone, N. E., Parvizi, J., Knight, R. T., & D’Esposito, M. (2015) · Nature Neuroscience · doi:10.1038/nn.4071 · Cited by 229
Self-citationBlumenfeld, R. S., Parks, C. M., Yonelinas, A. P., & Ranganath, C. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21459 · Cited by 209
Bolis, D., Balsters, J., Wenderoth, N., Becchio, C., & Schilbach, L. (2017) · Psychopathology · doi:10.1159/000484353 · Cited by 204
Mechanisms of Hierarchical Reinforcement Learning in Cortico-Striatal Circuits 2: Evidence from fMRI
Badre, D., & Frank, M. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr117 · Cited by 203
Self-citationA dissociation between social mentalizing and general reasoning
Overwalle, F. V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.043 · Cited by 208
Causal Inference in the Multisensory Brain
Cao, Y., Summerfield, C., Park, H., Giordano, B. L., & Kayser, C. (2019) · Neuron · doi:10.1016/j.neuron.2019.03.043 · Cited by 207
Causal evidence for frontal cortex organization for perceptual decision making
Rahnev, D., Nee, D. E., Riddle, J., Larson, A. S., & D’Esposito, M. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522551113 · Cited by 200
Self-citationThe Brain’s Learning and Control Architecture
Chein, J. M., & Schneider, W. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721411434977 · Cited by 196
Cole, M. W., Laurent, P. A., & Stocco, A. (2012) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-012-0125-7 · Cited by 208
Hierarchical control over effortful behavior by rodent medial frontal cortex: A computational model.
Holroyd, C. B., & McClure, S. M. (2014) · Psychological Review · doi:10.1037/a0038339 · Cited by 199
Endogenous Testosterone Modulates Prefrontal-Amygdala Connectivity during Social Emotional Behavior
Volman, I., Toni, I., Verhagen, L., & Roelofs, K. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr001 · Cited by 195
Brain Circuit for Cognitive Control Is Shared by Task and Language Switching
Baene, W. D., Duyck, W., Braß, M., & Carreiras, M. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00817 · Cited by 186
Dwelling quietly in the rich club: brain network determinants of slow cortical fluctuations
Gollo, L. L., Zalesky, A., Hutchison, R. M., van den Heuvel, M. P., & Breakspear, M. J. (2015) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2014.0165 · Cited by 189
The Endocast of MH1, Australopithecus sediba
Carlson, K. J., Stout, D., Jashashvili, T., de Ruiter, D. J., Tafforeau, P., Carlson, K., & Berger, L. R. (2011) · Science · doi:10.1126/science.1203922 · Cited by 183
Hecht, E. E., Gutman, D. A., Bradley, B. A., Preuss, T. M., & Stout, D. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.039 · Cited by 175
“Action goals are represented with decreasing specificity from posterior to anterior inferior frontal cortex, with anterior inferior prefrontal regions participating in action planning, response selection, hierarchical sequencing, and cognitive control (Petrides 2005, Badre and D'Esposito 2009).”
InfluentialHarding, I. H., Yücel, M., Harrison, B. J., Pantelis, C., & Breakspear, M. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.039 · Cited by 184
Functional segregation and integration within fronto-parietal networks
Parlatini, V., Raduà, J., Dell’Acqua, F., Leslie, A., Simmons, A., Murphy, D., Catani, M., & de Schotten, M. T. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.031 · Cited by 179
Topography of Cerebellar Deficits in Humans
Grimaldi, G., & Manto, M. U. (2011) · The Cerebellum · doi:10.1007/s12311-011-0247-4 · Cited by 170
Cortical thickness gradients in structural hierarchies
Wagstyl, K., Ronan, L., Goodyer, I. M., & Fletcher, P. C. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.036 · Cited by 169
Dissociating Normal Aging from Alzheimer’s Disease: A View from Cognitive Neuroscience
Toepper, M. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161099 · Cited by 191
Zhou, Y., Friston, K. J., Zeidman, P., Chen, J., Li, S., & Razi, A. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx307 · Cited by 171
A process-model based approach to prospective memory impairment in Parkinson's disease
Kliegel, M., Altgassen, M., Hering, A., & Rose, N. S. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.01.024 · Cited by 163
Technology, expertise and social cognition in human evolution
Stout, D., Passingham, R. E., Frith, C., Apel, J., & Chaminade, T. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07619.x · Cited by 168
Metadata
- Authors
- Badre, D., & D'Esposito, M.
- Affiliations
- Brown University (US)
- Corresponding author
- Badre, David
- ORCID
- Badre, David
- Venue
- Nature Reviews Neuroscience
- Published
- 2009-08-12
- Volume
- 10
- Issue
- 9
- Pages
- 659-669
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC3258028
- OpenAlex
- W1990955460
- Cited by
- 946
- References
- 163
- Citations by year
- 2026: 47 · 2025: 48 · 2024: 46 · 2023: 65 · 2022: 60 · 2021: 50 · 2020: 58 · 2019: 38 · 2018: 60 · 2017: 76 · 2016: 67 · 2015: 54 · 2014: 63 · 2013: 64 · 2012: 64
- FWCI
- 3.70
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of Mental Health (R01MH063901, MH 63901)
- National Institute of Neurological Disorders and Stroke (NS40813, R01NS065046, P01NS040813)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- frontal lobe, rostrocaudal gradient, hierarchy, cognitive control, goal-directed behavior
- MeSH terms
- Animals, Frontal Lobe, Goals, Humans, Functional Laterality, Nerve Net, Psychomotor Performance
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