Cited by 947Neural and Behavioral Psychology StudiesNeurobiology of Language and BilingualismNeurotransmitter Receptor Influence on Behavior

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 access

Badre, David, D'Esposito, Mark·2009·Nature Reviews Neuroscience

DOI 10.1038/nrn2667PMC PMC3258028

Open this paper in CoChat — free account

Abstract

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?

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

Crossref · 10.1038/nrn2667

Cites

163 of 163 references verified0 citation errors · 0 not checkable

Statistics

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

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
The Cognitive neurosciences
(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
Unified theories of cognition
(1991) · Choice Reviews Online · doi:10.5860/choice.28-5376 · Cited by 4,218

Flagged first, then by citations

Show all 163 references

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).

Sorted by citations

Items 501–600 of 947

MRS-assessed brain GABA modulation in response to task performance and learning
Li, H., Rodríguez‐Nieto, G., Chalavi, S., Seer, C., Mikkelsen, M. E., Edden, R. A. E., & Swinnen, S. P. (2024) · Behavioral and Brain Functions · doi:10.1186/s12993-024-00248-9 · Cited by 19
Whole-brain structural connectome asymmetry in autism
Yoo, S., Jang, Y., Hong, S., Park, H., Valk, S. L., Bernhardt, B. C., & Park, B. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120534 · Cited by 18
Uncertainty and expectancy deviations require cortico-subcortical cooperation
Mestres-Missé, A., Trampel, R., Turner, R., & Kotz, S. A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.069 · Cited by 17
Neural correlates of attitudes and risk perception for food technology topics
Davis, T. H., LaCour, M., Beyer, E. S., Finck, J. L., & MILLER, M. F. (2019) · Food Quality and Preference · doi:10.1016/j.foodqual.2019.103836 · Cited by 17
Mathematical Logic in the Human Brain: Semantics
Friedrich, R. M., & Friederici, A. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0053699 · Cited by 19
Pre-Task Prefrontal Activation during Cognitive Processes in Aging: A Near-Infrared Spectroscopy Study
Oboshi, Y., Kikuchi, M., Shimizu, Y., Yoshimura, Y., Hiraishi, H., Okada, H., Magata, Y., & Ouchi, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098779 · Cited by 17
Extreme early-life anxiety is associated with an evolutionarily conserved reduction in the strength of intrinsic functional connectivity between the dorsolateral prefrontal cortex and the central nucleus of the amygdala
Birn, R. M., Shackman, A. J., Oler, J. A., Williams, L. E., McFarlin, D. R., Rogers, G. M., Shelton, S. E., Alexander, A. L., Pine, D. S., Slattery, M. J., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2014.85 · Cited by 17
An fMRI analysis of the efficacy of Euler diagrams in logical reasoning
Sato, Y., Masuda, S., Someya, Y., Tsujii, T., & Watanabe, S. (2015) · IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) · doi:10.1109/vlhcc.2015.7357209 · Cited by 18
Predictive Impact of Contextual Objects during Action Observation: Evidence from Functional Magnetic Resonance Imaging
El-Sourani, N., Trempler, I., Wurm, M. F., Fink, G. R., & Schubotz, R. I. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01480 · Cited by 17
Cortical Granularity Shapes the Organization of Afferent Paths to the Amygdala and Its Striatal Targets in Nonhuman Primate
McHale-Matthews, A., Cho, Y., & Fudge, J. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0970-21.2021 · Cited by 16
Individual differences in gradients of intrinsic connectivity within the semantic network relate to distinct aspects of semantic cognition
Shao, X., Mckeown, B., Karapanagiotidis, T., de Wael, R. V., Margulies, D. S., Bernhardt, B. C., Smallwood, J., Krieger‐Redwood, K., & Jefferies, E. (2022) · Cortex · doi:10.1016/j.cortex.2022.01.019 · Cited by 16
Functional reconfiguration of task-active frontoparietal control network facilitates abstract reasoning
Morin, T., Moore, K. N., Isenburg, K., Ma, W., & Stern, C. E. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac457 · Cited by 17
Latent state–trait and latent growth curve modeling of inhibitory control.
Faßbender, K., Meyhöfer, I., & Ettinger, U. (2023) · Journal of Experimental Psychology General · doi:10.1037/xge0001344 · Cited by 17
Neuroanatomical and Functional Dissociations between Variably Present Anterior Lateral Prefrontal Sulci
Willbrand, E. H., Bunge, S. A., & Weiner, K. S. (2023) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_02049 · Cited by 16
Human Association Cortex: Expanded, Untethered, Neotenous, and Plastic
Krienen, F. M., & Buckner, R. L. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00126-3 · Cited by 16
Association of fronto-temporal function with cognitive ability in schizophrenia
Pu, S., Nakagome, K., Itakura, M., Iwata, M., Nagata, I., & Kaneko, K. (2017) · Scientific Reports · doi:10.1038/srep42858 · Cited by 17
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks Part II: Multilayer Dynamics and Top-Down Recruitment
Nozari, E., & Cortés, J. (2020) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2020.2997854 · Cited by 16
Brain voxel-based morphometry correlates of emotion dysregulation in attention-deficit hyperactivity disorder
Tsai, C., Lin, H., Tseng, I. W.-Y., & Gau, S. S. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00338-y · Cited by 17
Neural underpinnings of morality judgment and moral aesthetic judgment
Cheng, Q., Wen, X., Ye, G., Liu, Y., Kong, Y., & Mo, L. (2021) · Scientific Reports · doi:10.1038/s41598-021-97782-7 · Cited by 19
Perception and Action Selection Dissociate Human Ventral and Dorsal Cortex
Ikkai, A., Jerde, T. A., & Curtis, C. E. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21499 · Cited by 16
Parieto-frontal gradients and domains underlying eye and hand operations in the action space
Battaglia‐Mayer, A., Babicola, L., & Satta, E. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.07.009 · Cited by 17
The neural basis of a deficit in abstract thinking in patients with schizophrenia
Oh, J., Chun, J., Jo, H. J., Kim, E., Park, H., Lee, B., & Kim, J. (2015) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2015.08.007 · Cited by 16
The functional anatomy of the frontal lobes
Nachev, P., Kennard, C., & Husain, M. (2009) · Nature reviews. Neuroscience · doi:10.1038/nrn2667-c1 · Cited by 16
Relations of Creativity to the Interplay Between High-order Cognitive Functions: Behavioral and Neural Evidence
Hao, X., Geng, F., Wang, T., Hu, Y., & Huang, K. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.08.015 · Cited by 16
Children's neural responses to a novel mathematics concept
Clark, C. A. C., Hudnall, R., & Pérez-González, S. (2020) · Trends in Neuroscience and Education · doi:10.1016/j.tine.2020.100128 · Cited by 15
The relationship between loneliness and working-memory-related frontoparietal network connectivity in people with major depressive disorder
Gao, M., Shao, R., Huang, C., Liu, H., Chen, Y.-L., Lee, S., Lin, C., & Lee, T. M. C. (2020) · Behavioural Brain Research · doi:10.1016/j.bbr.2020.112776 · Cited by 16
Interactions of Medial and Lateral Prefrontal Cortex in Hierarchical Predictive Coding
Alexander, W. H., & Womelsdorf, T. (2021) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.605271 · Cited by 15
Transcranial magnetic stimulation reveals complex cognitive control representations in the rostral frontal cortex
Bahlmann, J., Beckmann, I., Kuhlemann, I., Schweikard, A., & Münte, T. F. (2015) · Neuroscience · doi:10.1016/j.neuroscience.2015.05.058 · Cited by 15
Bayesian inference, dysconnectivity and neuromodulation in schizophrenia
Stephan, K. E., Diaconescu, A. O., & Iglesias, S. (2016) · Brain · doi:10.1093/brain/aww120 · Cited by 15
Moving forward in perceptual decision making
Sterzer, P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1605619113 · Cited by 15
The Neural Basis of Motivational Influences on Cognitive ControlPreprint
Parro, C., Dixon, M. L., & Kalina Christoff, A. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/113126 · Cited by 15
Distinct Lateral Prefrontal Regions Are Organized in an Anterior–Posterior Functional Gradient
Tan, P. K., Tang, C., Herikstad, R., Pillay, A., & Libedinsky, C. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0007-23.2023 · Cited by 15
Ventral striatum is preferentially correlated with the salience network including regions in dorsolateral prefrontal cortex
Kosakowski, H. L., Du, J., Tripathi, V., Eldaief, M. C., & Buckner, R. L. (2025) · Journal of Neurophysiology · doi:10.1152/jn.00477.2024 · Cited by 14
Connectivity patterns in cognitive control networks predict naturalistic multitasking ability
Wen, T., Liu, D.-C., & Hsieh, S. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.05.002 · Cited by 15
Role for Presupplementary Motor Area in Inhibition of Cognitive Set Interference
Konishi, S., Watanabe, T., Jimura, K., Chikazoe, J., Hirose, S., Kimura, H. M., & Miyashita, Y. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21480 · Cited by 14
A New Era for Lesion-Behavior Mapping of Prefrontal Functions
Volle, E., Lévy, R., & Burgess, P. W. (2013) · Oxford University Press eBooks · doi:10.1093/med/9780199837755.003.0036 · Cited by 14
What Brain Imaging Reveals About the Nature of Multitasking
Just, M. A., & Buchweitz, A. (2014) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199842193.013.4 · Cited by 14
Early bilateral and massive compromise of the frontal lobes
Ibáñez, A. M., Zimerman, M., Sedeño, L., Lori, N. F., Rapacioli, M., Cardona, J. F., Suárez-García, D. M. A., Herrera, E., García, A. M., & Manes, F. F. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.02.026 · Cited by 14
Distinct Components in the Right Extended Frontal Aslant Tract Mediate Language and Working Memory Performance: A Tractography-Informed VBM Study
Varriano, F., Pascual‐Diaz, S., & Prats‐Galino, A. (2020) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2020.00021 · Cited by 14
Information Processing Biases in the Brain: Implications for Decision-Making and Self-Governance
Sali, A. W., Anderson, B. A., & Courtney, S. M. (2016) · Neuroethics · doi:10.1007/s12152-016-9251-1 · Cited by 15
A dual architecture for the cognitive control of language: Evidence from functional imaging and language production
Bourguignon, N. J., & Gracco, V. L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.02.043 · Cited by 13
Effects of virtual lesions on temporal dynamics in cortical networks based on personalized dynamic models
Wei, J., Wang, B., Yang, Y., Niu, Y., Yang, L., Guo, Y., & Xiang, J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119087 · Cited by 14
MRI Assessment of Intrinsic Neural Timescale and Gray Matter Volume in Parkinson's Disease
Wei, Y., Zhang, C., Peng, Y., Chen, C., Han, S., Wang, W., Zhang, Y., Lu, H., & Cheng, J. (2023) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.28864 · Cited by 13
New functional dissociations between prefrontal and parietal cortex during task switching: A combined fMRI and TMS study
Periañez, J. A., Viejo-Sobera, R., Lubrini, G., Álvarez‐Linera, J., Rodríguez-Toscano, E., Moreno, M., Arango, C., Redolar-Ripoll, E., Marrón, E. M., & Lago, M. R. (2024) · Cortex · doi:10.1016/j.cortex.2024.07.012 · Cited by 14
Multimodal gradients unify local and global cortical organization
Wang, Y., Eichert, N., Paquola, C., Rodríguez‐Cruces, R., DeKraker, J., Royer, J., Cabalo, D. G., Auer, H., Ngo, A., Leppert, I. R., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-59177-4 · Cited by 15
Association between rostral prefrontal cortical activity and functional outcome in first-episode psychosis: a longitudinal functional near-infrared spectroscopy study
Koike, S., Satomura, Y., Kawasaki, S., Nishimura, Y., Takano, Y., Iwashiro, N., Kinoshita, A., Nagai, T., Natsubori, T., Tada, M., et al. (2016) · Schizophrenia Research · doi:10.1016/j.schres.2016.01.003 · Cited by 13
The neural dynamics of competition resolution for language production in the prefrontal cortex
Bourguignon, N. J., Ohashi, H., Nguyen, D. L., & Gracco, V. L. (2017) · Human Brain Mapping · doi:10.1002/hbm.23927 · Cited by 13
Not inertia but reconfiguration: Asymmetric switch cost in a hierarchical task
Li, J., Cao, B., Han, J., Xie, L., & Li, F. (2019) · Brain Research · doi:10.1016/j.brainres.2019.06.010 · Cited by 13
Dorsal prefrontal and premotor cortex of the ferret as defined by distinctive patterns of thalamo-cortical projections
Radtke‐Schuller, S., Town, S. M., Yin, P., Elgueda, D., Schuller, G., Bizley, J. K., Shamma, S., & Fritz, J. B. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02086-7 · Cited by 13
Self‐prioritization is supported by interactions between large‐scale brain networks
Yankouskaya, A., & Sui, J. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15612 · Cited by 14
How to Detect and Analyze Traveling Waves in Human Intracranial EEG Oscillations?
Das, A., Zabeh, E., & Jacobs, J. (2023) · Studies in neuroscience, psychology and behavioral economics · doi:10.1007/978-3-031-20910-9_30 · Cited by 13
A specific impairment in cognitive control in individuals with high-functioning autism
Barbalat, G., Leboyer, M., & Zalla, T. (2014) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2014.07.013 · Cited by 13
Dorsomedial striatum involvement in regulating conflict between current and presumed outcomes
Mestres-Missé, A., Bazin, P., Trampel, R., Turner, R., & Kotz, S. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.002 · Cited by 13
Action Recognition Depends on Observer’s Level of Action Control and Social Personality Traits
Ondobaka, S., Newman‐Norlund, R., de Lange, F. P., & Harold Bekkering, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0081392 · Cited by 13
Multimodal neuroimaging of hierarchical cognitive control
Pagnotta, M. F., Riddle, J., & D’Esposito, M. (2024) · Biological Psychology · doi:10.1016/j.biopsycho.2024.108896 · Cited by 12
Self-citation
Hemodynamic effects of sex and handedness on the Wisconsin Card Sorting Test: the contradiction between neuroimaging and behavioural results
Činčiūtė, S., Daktariūnas, A., & Rukšėnas, O. (2018) · PeerJ · doi:10.7717/peerj.5890 · Cited by 12
Egocentric Chunking in the Predictive Brain: A Cognitive Basis of Expert Performance in High-Speed Sports
Lappi, O. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.822887 · Cited by 14
Neuroimaging guided tES to facilitate complex laparoscopic surgical tasks – insights from functional near-infrared spectroscopy
Walia, P., Fu, Y., Schwaitzberg, S. D., Intes, X., De, S., Cavuoto, L. A., & Dutta, A. (2021) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc46164.2021.9631005 · Cited by 12
Cognitive control is modulated by hierarchical complexity of task switching: An event-related potential study
Wu, J., Chen, Y., Zixia, L., & Li, F. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.114025 · Cited by 14
Segmental Abnormalities of White Matter Microstructure in Primary Hypothyroidism Identified by Automated Fiber Quantification
Cao, J., Chen, C., Zhang, T., Han, Y., Qin, R., Su, W., Tian, J., Fengli, L., Shi, Q., Zhang, H., et al. (2023) · Neuroendocrinology · doi:10.1159/000529062 · Cited by 12
Activation of the Prefrontal Cortex While Performing a Task at Preferred Slow Pace and Metronome Slow Pace: A Functional Near-Infrared Spectroscopy Study
Shimoda, K., Moriguchi, Y., Tsuchiya, K., Katsuyama, S., & Tozato, F. (2014) · Neural Plasticity · doi:10.1155/2014/269120 · Cited by 12
Planning Steps Forward in Development: In Girls Earlier than in Boys
Unterrainer, J. M., Ruh, N., Loosli, S. V., Heinze, K., Rahm, B., & Kaller, C. P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080772 · Cited by 12
The Neural System of Postdecision Evaluation in Rostral Frontal Cortex during Problem-solving Tasks
Wan, X., Cheng, K., & Tanaka, K. (2016) · eNeuro · doi:10.1523/eneuro.0188-16.2016 · Cited by 12
Firing Variability of Frontal Pole Neurons during a Cued Strategy Task
Tsujimoto, S., & Genovesio, A. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01036 · Cited by 12
On the Phylogenesis of Executive Functions and Their Connection with Language Evolution
Adornetti, I. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01426 · Cited by 12
Decoding rule search domain in the left inferior frontal gyrus
Furlan, M., Babcock, L., & Vallesi, A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0194054 · Cited by 12
An Altered Scaffold for Information Processing: Cognitive Control Development in Adolescents With Autism
Solomon, M., Hogeveen, J., Libero, L. E., & Nordahl, C. W. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.06.002 · Cited by 12
Competition and Control during Working Memory
Kiyonaga, A., & D’Esposito, M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108581073 · Cited by 12
Self-citation
A cortical wiring space links cellular architecture, functional dynamics and hierarchies in humansPreprint
Paquola, C., Seidlitz, J., Benkarim, O., Royer, J., Klimes, P., Bethlehem, R. A. I., Larivière, S., de Wael, R. V., Hall, J. A., Frauscher, B., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.08.899583 · Cited by 12
Salience-based information integration: An overarching function of the “social brain”?Preprint
Lugrin, C., Konovalov, A., & Ruff, C. C. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.30.525877 · Cited by 13
Age Differences of the Hierarchical Cognitive Control and the Frontal Rostro–Caudal Functional Brain Activation
Yao, Z., & Hsieh, S. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab382 · Cited by 12
Dissociation and integration of outcome and state uncertainty signals in cognitive control
Alexander, W. H., Deraeve, J., & Vassena, E. (2023) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-023-01091-7 · Cited by 11
The evolution of hierarchically structured communication
Planer, R. J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1224324 · Cited by 12
On the neural networks of self and other bias and their role in emergent social interactions
Forbes, C. E. (2024) · Cortex · doi:10.1016/j.cortex.2024.05.002 · Cited by 11
Low-Frequency Oscillations in Mid-rostral Dorsolateral Prefrontal Cortex Support Response Inhibition
Khan, A. U., Irwin, Z. T., Mahavadi, A. K., Roller, A., Goodman, A. M., Guthrie, B. L., Visscher, K., Knight, R. T., Walker, H. C., & Bentley, J. N. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0122-24.2024 · Cited by 11
Gray-Matter Morphometry of Internalizing-Symptom Dimensions During Adolescence
Smolker, H. R., Snyder, H. R., Hankin, B. L., & Banich, M. T. (2022) · Clinical Psychological Science · doi:10.1177/21677026211071091 · Cited by 15
Reshaping sensory representations by task-specific brain states: Toward cortical circuit mechanisms
Zhang, N., & Xu, N.-L. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102628 · Cited by 12
Mapping the neural mechanisms of creativity by convergent and divergent thinking in school-aged children: A functional near-infrared spectroscopy study
Hou, S., Chen, S., Huang, Z., Yin, X., Zhao, K., & Zou, J. (2023) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2023.101300 · Cited by 12
Information-based TMS to mid-lateral prefrontal cortex disrupts action goals during emotional processing
Lapate, R. C., Heckner, M. K., Phan, A., Tambini, A., & D’Esposito, M. (2024) · Nature Communications · doi:10.1038/s41467-024-48015-8 · Cited by 11
Self-citation
Rule Activity Related to Spatial and Numerical Magnitudes: Comparison of Prefrontal, Premotor, and Cingulate Motor Cortices
Eiselt, A.-K., & Nieder, A. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00545 · Cited by 11
LITHIC ANALYSIS AS A COGNITIVE SCIENCE: A FRAMEWORK
Mahaney, R. A. (2014) · Lithic Technology · doi:10.1179/2051618514y.0000000005 · Cited by 11
EO-MTRNN: evolutionary optimization of hyperparameters for a neuro-inspired computational model of spatiotemporal learning
Wieser, E., & Cheng, G. (2020) · Biological Cybernetics · doi:10.1007/s00422-020-00828-8 · Cited by 12
Sensorimotor Expectations Bias Motor Resonance during Observation of Object Lifting: The Causal Role of pSTS
Rens, G., van Polanen, V., Botta, A., Gann, M. A., de Xivry, J. O., & Davare, M. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2672-19.2020 · Cited by 11
A First Principles Approach to Subjective Experience
Key, B., Zalucki, O. H., & Brown, D. J. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.756224 · Cited by 14
Foundations of human spatial problem solving
Zarr, N., & Brown, J. W. (2023) · Scientific Reports · doi:10.1038/s41598-023-28834-3 · Cited by 12
Parallel Changes in Cognitive Function and Gray Matter Volume After Multi-Component Training of Cognitive Control (MTCC) in Adolescents
Lee, D., Kwak, S., & Chey, J. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00246 · Cited by 11
Signatures of hierarchical temporal processing in the mouse visual system
Rudelt, L., Marx, D. G., Spitzner, F. P., Cramer, B., Zierenberg, J., & Priesemann, V. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012355 · Cited by 10
Stroking a Real Horse Versus Stroking a Toy Horse: Effects on the Frontopolar Area of the Human Brain
Matsuura, A., Aiba, N., Yamamoto, H., Takahashi, M., Kido, H., Suzuki, T., & Bando, Y. (2020) · Anthrozoös · doi:10.1080/08927936.2020.1799564 · Cited by 10
Shifted neuronal balance during stimulus–response integration in schizophrenia: an fMRI study
Cieslik, E. C., Müller, V. I., Kellermann, T. S., Grefkes, C., Halfter, S., & Eickhoff, S. B. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0652-1 · Cited by 10
Progressive learning of sensory-motor maps through spatiotemporal predictors
Wieser, E., & Cheng, G. (2016) · IEEE International Conference on Development and Learning (ICDL) · doi:10.1109/devlrn.2016.7846788 · Cited by 10
Cognitive profiles in childhood and adolescence differ between adult psychotic and affective symptoms: a prospective birth cohort study
Koike, S., Barnett, J. H., Jones, P. B., & Richards, M. (2017) · Psychological Medicine · doi:10.1017/s0033291717000393 · Cited by 10
Individual Differences in the Accuracy of Judgments of Learning Are Related to the Gray Matter Volume and Functional Connectivity of the Left Mid-Insula
Hu, X., Liu, Z., Chen, W., Zheng, J., Su, N., Wang, W., Lin, C., & Luo, L. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00399 · Cited by 10
A neurally plausible schema-theoretic approach to modelling cognitive dysfunction and neurophysiological markers in Parkinson's disease
Caso, A., & Cooper, R. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107359 · Cited by 10
Lateral prefrontal cortex is a hub for music production from structural rules to movements
Bianco, R., Novembre, G., Ringer, H., Kohler, N., Keller, P. E., Villringer, A., & Sammler, D. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab454 · Cited by 10
Cognitive control in Parkinson's disease
Cavanagh, J. F., Ryman, S. G., & Richardson, S. P. (2022) · Progress in brain research · doi:10.1016/bs.pbr.2022.01.019 · Cited by 10
Topographic analysis of the development of individual activation patterns during performance monitoring in medial frontal cortex
Perkins, S. C., Welsh, R. C., Stern, E. R., Taylor, S. F., & Fitzgerald, K. D. (2013) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2013.09.001 · Cited by 10
Re-conceptualizing free will for the 21st century: acting independently with a limited role for consciousness
Bonn, G. B. (2013) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00920 · Cited by 10
Integrative Modeling of Prefrontal Cortex
Alexander, W. H., Vassena, E., Deraeve, J., & Langford, Z. D. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01138 · Cited by 12
Understanding associative vs. abstract pictorial relations: An ERP study
Zucker, L., & Mudrik, L. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107127 · Cited by 10
Frontal cortex differentiates between free and imposed target selection in multiple-target search
Ort, E., Fahrenfort, J. J., Reeder, R., Pollmann, S., & Olivers, C. N. L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116133 · Cited by 11

Authors: Badre, D., & D'Esposito, M.
Affiliations: Brown University (US)
Corresponding author: Badre, David
ORCID: Badre, David
Venue: Nature Reviews Neuroscience
Publisher: Springer Science and Business Media LLC
Published: 2009-08-12
Volume: 10
Issue: 9
Pages: 659-669
ISSN: 1471-003X (ISSN-L)
1471-0048
DOI: 10.1038/nrn2667
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

Is the rostro-caudal axis of the frontal lobe hierarchical?

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks