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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?
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“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]
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“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]
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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
Flagged first, then by citations
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).
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Bode, S., He, A. H., Soon, C. S., Trampel, R., Turner, R., & Haynes, J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0021612 · Cited by 174
Depue, B. E., Orr, J. M., Smolker, H. R., Naaz, F., & Banich, M. T. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhu324 · Cited by 160
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Vendetti, M. S., & Bunge, S. A. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.035 · Cited by 155
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Roca, M., Torralva, T., Gleichgerrcht, E. L., Woolgar, A., Thompson, R., Duncan, J., & Manes, F. F. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.09.003 · Cited by 153
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Vandierendonck, A., Szmalec, A., Deschuyteneer, M., & Depoorter, A. (2007) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198570394.001.0001 · Cited by 147
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Alexander, W. H., & Brown, J. W. (2017) · Topics in Cognitive Science · doi:10.1111/tops.12307 · Cited by 147
Cho, S., Metcalfe, A. W. S., Young, C. B., Ryali, S., Geary, D. C., & Menon, V. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00246 · Cited by 135
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Jiang, L., Xu, T., He, Y., Hou, X., Wang, J., Cao, X., Wei, G., Yang, Z., Yong He, A., & Zuo, X. (2014) · Brain Structure and Function · doi:10.1007/s00429-014-0795-8 · Cited by 125
Vezoli, J., Magrou, L., Goebel, R., Wang, X., Knoblauch, K., Vinck, M. A., & Kennedy, H. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117479 · Cited by 132
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Pan, J., Zhan, L., Hu, C., Yang, J., Wang, C., Gu, L., Zhong, S., Huang, Y., Wu, Q., Xie, X., et al. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00070 · Cited by 130
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Zandbelt, 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
Butcher, P. A., Ivry, R. B., Kuo, S.-H., Rydz, D., Krakauer, J. W., & Taylor, J. A. (2017) · Journal of Neurophysiology · doi:10.1152/jn.00451.2017 · Cited by 119
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Shipp, S. (2017) · Brain Structure and Function · doi:10.1007/s00429-016-1250-9 · Cited by 118
Race, E., Shanker, S., & Wagner, A. D. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21132 · Cited by 117
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Braun, J., & Mattia, M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.126 · Cited by 124
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Cipolotti, L., Spanò, B., Healy, C., Tudor-Sfetea, C., Chan, E., White, M. J., Biondo, F., Duncan, J., Shallice, T., & Bozzali, M. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.09.018 · Cited by 126
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Froudist‐Walsh, S., Bliss, D. P., Ding, X., Rapan, L., Niu, M., Knoblauch, K., Zilles, K., Kennedy, H., Palomero‐Gallagher, N., & Wang, X. (2021) · Neuron · doi:10.1016/j.neuron.2021.08.024 · Cited by 122
Theta oscillations shift towards optimal frequency for cognitive control
Senoussi, M., Verbeke, P., Desender, K., Loof, E. D., Talsma, D., & Verguts, T. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01335-5 · Cited by 126
Taren, A. A., Venkatraman, V., & Huettel, S. A. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5762-10.2011 · Cited by 118
Evidence for Hierarchical Cognitive Control in the Human Cerebellum
D’Mello, A. M., Gabrieli, J. D. E., & Nee, D. E. (2020) · Current Biology · doi:10.1016/j.cub.2020.03.028 · Cited by 114
Balsters, J. H., Laird, A. R., Fox, P. T., & Eickhoff, S. B. (2014) · Human Brain Mapping · doi:10.1002/hbm.22392 · Cited by 113
Tremblay, S., Pieper, F., Sachs, A. J., & Martínez-Trujillo, J. (2014) · Neuron · doi:10.1016/j.neuron.2014.11.021 · Cited by 124
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O’Reilly, R. C., Herd, S. A., & Pauli, W. M. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.01.008 · Cited by 117
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Nee, D. E. (2021) · eLife · doi:10.7554/elife.57244 · Cited by 112
Tsuchida, A., & Fellows, L. K. (2012) · Cortex · doi:10.1016/j.cortex.2012.10.014 · Cited by 124
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Abraham, A., Beudt, S., Ott, D. V. M., & Yves von Cramon, D. (2012) · Brain Research · doi:10.1016/j.brainres.2012.09.007 · Cited by 111
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Momennejad, I., & Haynes, J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.079 · Cited by 116
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Young, C. B., Chen, T., Nusslock, R., Keller, J., Schatzberg, A. F., & Menon, V (2016) · Translational Psychiatry · doi:10.1038/tp.2016.80 · Cited by 108
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Tervo, D. G. R., Tenenbaum, J. B., & Gershman, S. J. (2016) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2016.01.014 · Cited by 106
Meyers, E. M., Qi, X.-L., & Constantinidis, C. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201022109 · Cited by 106
Processing structure in language and music: a case for shared reliance on cognitive control
Slevc, L. R., & Okada, B. M. (2014) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0712-4 · Cited by 115
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Hecht, E. E., Murphy, L. E., Gutman, D. A., Votaw, J. R., Schuster, D. M., Preuss, T. M., Orban, G. A., Stout, D., & Parr, L. A. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.2172-13.2013 · Cited by 105
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Knowlton, B. J., Morrison, R., Hummel, J. E., & Holyoak, K. J. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.06.002 · Cited by 108
The differentiation of iconic and metaphoric gestures: Common and unique integration processes
Straube, B., Green, A., Bromberger, B., & Kircher, T. T. J. (2010) · Human Brain Mapping · doi:10.1002/hbm.21041 · Cited by 106
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Rodd, J. M., Johnsrude, I. S., & Davis, M. H. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr252 · Cited by 109
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Nyberg, L. H., & Eriksson, J. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021816 · Cited by 114
Medalla, M., & Barbas, H. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1773-10.2010 · Cited by 103
Chapman, S. B., Aslan, S., Spence, J. S., Keebler, M. W., DeFina, L. F., Didehbani, N., Perez, A. M., Lu, H., & D’Esposito, M. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00338 · Cited by 109
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Depue, B. E., Burgess, G. C., Bidwell, L. C., Willcutt, E. G., & Banich, M. T. (2010) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.01.012 · Cited by 103
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Riddle, J., McFerren, A. L., & Frӧhlich, F. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102033 · Cited by 99
Sundermann, B., & Pfleiderer, B. (2012) · BMC Neuroscience · doi:10.1186/1471-2202-13-119 · Cited by 98
Papitto, G., Friederici, A. D., & Zaccarella, E. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116321 · Cited by 101
Filevich, E., Kühn, S., & Haggard, P. (2012) · Cortex · doi:10.1016/j.cortex.2012.04.014 · Cited by 103
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Bahlmann, J., Blumenfeld, R. S., & D’Esposito, M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht419 · Cited by 102
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Filevich, E., Dresler, M., Brick, T. R., & Kühn, S. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3342-14.2015 · Cited by 96
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Gilbert, S. J. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.5336-10.2011 · Cited by 95
“Rostrolateral prefrontal cortex (RLPFC), corresponding to the lateral aspects of Brodmann area (BA) 10, is widely considered to occupy the top of a hierarchy of lateral prefrontal regions supporting behavioral regulation (Badre and D’Esposito, 2009; Christoff et al., 2009; Koechlin et al., 2003).”
BackgroundWang, X., Margulies, D. S., Smallwood, J., & Jefferies, E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117074 · Cited by 100
White, C. N., Congdon, E. L., Mumford, J. A., Karlsgodt, K. H., Sabb, F. W., Freimer, N. B., London, E. D., Cannon, T. D., Bilder, R. M., & Poldrack, R. A. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00567 · Cited by 99
Paquola, C., Seidlitz, J., Benkarim, O. M., Royer, J., Klimeš, P., Bethlehem, R. A. I., Larivière, S., de Wael, R. V., Rodríguez‐Cruces, R., Hall, J. A., et al. (2020) · PLoS Biology · doi:10.1371/journal.pbio.3000979 · Cited by 95
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Zeithamová, D., Mack, M. L., Braunlich, K., Davis, T. H., Seger, C. A., van Kesteren, M. T. R., & Wutz, A. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1166-19.2019 · Cited by 101
Motor dexterity and strength depend upon integrity of the attention-control system
Rinne, P., Hassan, M., Fernandes, C., Han, E., Hennessy, E., Waldman, A. D., Sharma, P. K., Soto, D., Leech, R., Malhotra, P., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715617115 · Cited by 92
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Mestres-Missé, A., Turner, R., & Friederici, A. D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.021 · Cited by 91
Natural grouping of neural responses reveals spatially segregated clusters in prearcuate cortex
Kiani, R., Cueva, C. J., Reppas, J., Peixoto, D., Ryu, S., & Newsome, W. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.014 · Cited by 96
Hierarchical Task Representation
Schumacher, E. H., & Hazeltine, E. (2016) · Current Directions in Psychological Science · doi:10.1177/0963721416665085 · Cited by 90
Emotional control, reappraised
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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
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