Broad domain generality in focal regions of frontal and parietal cortex
Open accessAbstract
Significance: One of the oldest debates in cognitive neuroscience concerns the degree of functional specialization present in the human brain. Prior work has discovered several highly specialized components dedicated to particular mental functions, like face recognition or motion perception. However, our cognitive versatility suggests the additional existence of more general-purpose machinery. Building on prior neuroimaging evidence, along with neurophysiological evidence from non-human primates, we searched for such domain-general brain regions in humans. Seven diverse demanding cognitive tasks produced overlapping activation at the individual-subject level in a number of frontal and parietal brain regions. Thus, human cognition arises from hardware that includes not only specialized components, but also very general-purpose ones that plausibly enable us to solve novel problems.
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
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 FPN and CON are functionally separable brain networks that enable flexible adaptive control and sustained task-set maintenance; together, they form the MD network, a set of brain regions that is active during a range of tasks that require goal-directed behavior.
“The FPN and CON are functionally separable brain networks that enable flexible adaptive control and sustained task-set maintenance [142]; together, they form the MD network [143], a set of brain regions that is active during a range of tasks that require goal-directed behavior [139].”
From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [139]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredConjunction maps of activation during different tasks suggest that both children and adults recruit a common set of regions within the FPN and CON during diverse EF tasks.
“Conjunction maps of activation during different tasks (e.g., during inhibiting, updating, and shifting tasks), either with data estimated within one study [135, 138, 139] or with meta-analytic techniques [137, 140, 141], suggest that both children and adults recruit a common set of regions within the FPN and CON during diverse EF tasks.”
From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [139]
The Results and Discussion (pages unavailable) report overlapping activation across diverse demanding tasks in frontal and parietal multiple-demand regions, supporting the adult task-overlap portion of the claim. Materials and Methods states that participants were 18–50 years old, so this study does not establish the claim for children. The Results also describe anterior/mid-cingulate activation in only some tasks, rather than establishing common recruitment of the entire CON. (LLM, conf=0.88)
Experimental — accuracy not yet measuredBrain regions engaged in a verbal WM task, associated with the MD network, are also engaged during spatial and imitative conflict resolution.
“Our findings show that brain regions that are engaged in a verbal WM task, which are associated with the operation of the MD network (Fedorenko et al., 2013;Duncan, 2010), are also engaged during spatial and imitative conflict resolution.”
From Functional Specificity and Sex Differences in the Neural Circuits Supporting the Inhibition of Automatic Imitation (2018) · cites this paper as Fedorenko et al., 2013
The hard > easy contrast in the verbal working memory task has been found to robustly activate regions of the MD network.
“The hard > easy contrast has been found to robustly activate regions of the MD network (Fedorenko et al., 2011(Fedorenko et al., , 2013)).”
From Functional Specificity and Sex Differences in the Neural Circuits Supporting the Inhibition of Automatic Imitation (2018) · cites this paper as Fedorenko et al., 2013
These same domain-independent regions are activated during a variety of different cognitive and motor control tasks.
“In addition to the connectional anatomy, it has been noted that these same domain-independent regions are activated during a variety of different cognitive and motor control tasks [70, 71].”
From Neurocomputational mechanisms underlying subjective valuation of effort costs (2017) · cites this paper as [71]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · see citing works
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881 · see citing works
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 · see citing works
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351 · see citing works
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 · see citing works
Distributed and overlapping representations of faces and objects in ventral temporal cortex
Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A., Schouten, J. L., & Pietrini, P. (2001) · Science · doi:10.1126/science.1063736 · Cited by 3,940 · see citing works
The reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889 · see citing works
Conflict monitoring and anterior cingulate cortex: an update
Botvinick, M. M., Cohen, J. D., & Carter, C. S. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.10.003 · Cited by 3,623 · see citing works
Imaging Cognition II: An Empirical Review of 275 PET and fMRI Studies
Cabeza, R., & Nyberg, L. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/08989290051137585 · Cited by 3,598 · see citing works
The attention system of the human brain: 20 years after
Petersen, S. E., & Posner, M. I. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150525 · Cited by 3,439 · see citing works
Inhibition and the right inferior frontal cortex
Aron, A. R., Robbins, T. W., & Poldrack, R. A. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.02.010 · Cited by 3,197 · see citing works
Circular analysis in systems neuroscience: the dangers of double dipping
Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. F., & Baker, C. I. (2009) · Nature Neuroscience · doi:10.1038/nn.2303 · Cited by 2,696 · see citing works
Distinct brain networks for adaptive and stable task control in humans
Dosenbach, N. U. F., Fair, D. A., Miezin, F. M., Cohen, A. L., Wenger, K. K., Dosenbach, R. A. T., Fox, M. D., Snyder, A. Z., Vincent, J. L., Raichle, M. E., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704320104 · Cited by 2,632 · see citing works
Common regions of the human frontal lobe recruited by diverse cognitive demands
Duncan, J., & Owen, A. M. (2000) · Trends in Neurosciences · doi:10.1016/s0166-2236(00)01633-7 · Cited by 2,498 · see citing works
Self-citationFunctional topography in the human cerebellum: A meta-analysis of neuroimaging studies
STOODLEY, C., & SCHMAHMANN, J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.039 · Cited by 2,183 · see citing works
The neural basis of error detection: Conflict monitoring and the error-related negativity
Yeung, N., Botvinick, M. M., & Cohen, J. D. (2004) · Psychological Review · doi:10.1037/0033-295x.111.4.931 · Cited by 1,924 · see citing works
The Architecture of Cognitive Control in the Human Prefrontal Cortex
Koechlin, E., Ody, C., & Kouneiher, F. (2003) · Science · doi:10.1126/science.1088545 · Cited by 1,922 · see citing works
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869 · see citing works
The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour
Duncan, J. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.01.004 · Cited by 1,846 · see citing works
Self-citationNiendam, T. A., Laird, A. R., Ray, K. L., Dean, Y. M., Glahn, D. C., & Carter, C. S. (2012) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/s13415-011-0083-5 · Cited by 1,700 · cited 1× · see citing works
“Proc Natl Acad Sci USA 107(25):11163–11170.”
Schmahmann, J. D. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2018.07.005 · Cited by 1,625 · see citing works
The Enigmatic temporal pole: a review of findings on social and emotional processing
Olson, I. R., Plotzker, A., & Ezzyat, Y. (2007) · Brain · doi:10.1093/brain/awm052 · Cited by 1,370 · see citing works
Spreng, R. N., Stevens, W. D., Chamberlain, J. P., Gilmore, A. W., & Schacter, D. L. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.016 · Cited by 1,256 · see citing works
Principles of brain evolution.
Striedter, G. (2005) · Choice Reviews Online · doi:10.5860/choice.42-5260 · Cited by 1,124 · see citing works
Categorical Representation of Visual Stimuli in the Primate Prefrontal Cortex
Freedman, D. J., Riesenhuber, M., Poggio, T., & Miller, E. K. (2001) · Science · doi:10.1126/science.291.5502.312 · Cited by 1,123 · see citing works
A lateralized brain network for visuospatial attention
de Schotten, M. T., Dell'Acqua, F., Forkel, S. J., Simmons, A., Vergani, F., Murphy, D. G. M., & Catani, M. (2011) · Nature Neuroscience · doi:10.1038/nn.2905 · Cited by 1,103 · see citing works
The cognitive control network: Integrated cortical regions with dissociable functions
Cole, M. W., & Schneider, W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.071 · Cited by 1,091 · see citing works
Functional MRI studies of spatial and nonspatial working memory
D’Esposito, M., Aguirre, G. K., Zarahn, E., Ballard, D., Shin, R. K., & Lease, J. (1998) · Cognitive Brain Research · doi:10.1016/s0926-6410(98)00004-4 · Cited by 999 · see citing works
Is the rostro-caudal axis of the frontal lobe hierarchical?
Badre, D., & D'Esposito, M. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2667 · Cited by 946 · see citing works
Functional specificity in the human brain: a window into the functional architecture of the mind
Kanwisher, N. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005062107 · Cited by 929 · see citing works
Self-citationAn adaptive coding model of neural function in prefrontal cortex
Duncan, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35097575 · Cited by 874 · see citing works
Self-citationErroneous analyses of interactions in neuroscience: A problem of significance
Nieuwenhuis, S., Forstmann, B. U., & Wagenmakers, E.-J. (2011) · Nature Neuroscience · doi:10.1038/nn.2886 · Cited by 864 · see citing works
Dynamic Coding for Cognitive Control in Prefrontal Cortex
Stokes, M. G., Kusunoki, M., Sigala, N., Nili, H., Gaffan, D., & Duncan, J. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.039 · Cited by 711 · see citing works
Self-citationNew method for fMRI investigations of language: defining ROIs functionally in individual subjects
Fedorenko, E., Hsieh, P.-J., Nieto-Castañón, A., Whitfield-Gabrieli, S., & Kanwisher, N. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00032.2010 · Cited by 686 · see citing works
Self-citationCognitive control and parsing: Reexamining the role of Broca’s area in sentence comprehension
Novick, J. M., Trueswell, J. C., & Thompson-Schill, S. L. (2005) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.5.3.263 · Cited by 682 · cited 1× · see citing works
“Proc Natl Acad Sci USA 106(42):17974–17979.”
The Neural Basis of Error Detection: Conflict Monitoring and the Error-Related Negativity.
Yeung, N., Botvinick, M., & Cohen, J. D. (2004) · Psychological Review · doi:10.1037/0033-295x.111.4.939 · Cited by 616 · see citing works
Badre, D., & D'Esposito, M. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.12.2082 · Cited by 615 · see citing works
Derrfuss, J., Brass, M., Neumann, J., & von Cramon, D. Y. (2005) · Human Brain Mapping · doi:10.1002/hbm.20127 · Cited by 606 · see citing works
Functional specificity for high-level linguistic processing in the human brain
Fedorenko, E., Behr, M. K., & Kanwisher, N. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112937108 · Cited by 595 · cited 1× · see citing works
“Note that these tasks were not designed to be directly comparable to one another, even though they have all been shown to produce behavioral difficulty effects with the hard condition, leading to lower accuracies and longer reaction times (2, 27).”
BackgroundSelf-citationDivide and conquer: A defense of functional localizers
Saxe, R., Brett, M., & Kanwisher, N. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.062 · Cited by 544 · see citing works
Self-citationExperience-dependent representation of visual categories in parietal cortex
Freedman, D. J., & Assad, J. A. (2006) · Nature · doi:10.1038/nature05078 · Cited by 542 · see citing works
The Generality of Parietal Involvement in Visual Attention
Wojciulik, E., & Kanwisher, N. (1999) · Neuron · doi:10.1016/s0896-6273(01)80033-7 · Cited by 537 · see citing works
Self-citationLanguage-Selective and Domain-General Regions Lie Side by Side within Broca’s Area
Fedorenko, E. G., Duncan, J., & Kanwisher, N. (2012) · Current Biology · doi:10.1016/j.cub.2012.09.011 · Cited by 469 · see citing works
Self-citationFractionating Human Intelligence
Hampshire, A., Highfield, R. R., Parkin, B. L., & Owen, A. M. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.022 · Cited by 399 · see citing works
Heekeren, H. R., Marrett, S., Ruff, D. A., Bandettini, P. A., & Ungerleider, L. G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603949103 · Cited by 385 · see citing works
A central role for the lateral prefrontal cortex in goal-directed and stimulus-driven attention
Asplund, C. L., Todd, J. J., Snyder, A. P., & Marois, R. (2010) · Nature Neuroscience · doi:10.1038/nn.2509 · Cited by 384 · see citing works
Cognitive contributions of the ventral parietal cortex: an integrative theoretical account
Cabeza, R., Ciaramelli, E., & Moscovitch, M. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.008 · Cited by 373 · see citing works
Nystrom, L. E., Braver, T. S., Sabb, F. W., Delgado, M. R., Noll, D. C., & Cohen, J. D. (2000) · NeuroImage · doi:10.1006/nimg.2000.0572 · Cited by 372 · see citing works
An algorithmic method for functionally defining regions of interest in the ventral visual pathway
Julian, J. B., Fedorenko, E. G., Webster, J. M., & Kanwisher, N. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.055 · Cited by 334 · see citing works
Self-citationControl-related systems in the human brain
Power, J. D., & Petersen, S. E. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.12.009 · Cited by 331 · see citing works
Kim, C., Cilles, S. E., Johnson, N. F., & Gold, B. T. (2012) · Human Brain Mapping · doi:10.1002/hbm.21199 · Cited by 317 · see citing works
Bush, G., & Shin, L. M. (2006) · Nature Protocols · doi:10.1038/nprot.2006.48 · Cited by 309 · cited 7× · see citing works
“The vMSIT, n = 14, was identical to the MSIT task, except that digits (0, 1, 2, and 3) were replaced with words (NONE, LEFT, MIDDLE, and RIGHT).”
BackgroundMethodInfluentialDistinct neural mechanisms of distractor suppression in the frontal and parietal lobe
Suzuki, M., & Gottlieb, J. (2013) · Nature Neuroscience · doi:10.1038/nn.3282 · Cited by 281 · see citing works
Cerebellar involvement in executive control
Bellebaum, C., & Daum, I. (2007) · The Cerebellum · doi:10.1080/14734220601169707 · Cited by 267 · see citing works
Nieto-Castañón, A., & Fedorenko, E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.065 · Cited by 247 · see citing works
Self-citationWhy is Brain Size so Important:Design Problems and Solutions as Neocortex Gets Biggeror Smaller
Kaas, J. H. (2000) · Brain and Mind · doi:10.1023/a:1010028405318 · Cited by 225 · see citing works
Grinband, J., Savitskaya, J., Wager, T. D., Teichert, T., Ferrera, V. P., & Joy Hirsch, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.027 · Cited by 223 · see citing works
A Unified attentional bottleneck in the human brain
Tombu, M. N., Asplund, C. L., Dux, P. E., Godwin, D., Martin, J. W., & Marois, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1103583108 · Cited by 220 · see citing works
(1997) · International review of neurobiology · doi:10.1016/s0074-7742(08)x6026-x · Cited by 216 · see citing works
Cingulate Activation Increases Dynamically with Response Speed under Stimulus Unpredictability
Hahn, B., Ross, T. J., & Stein, E. A. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl075 · Cited by 203 · see citing works
Adaptive Coding of Task-Relevant Information in Human Frontoparietal Cortex
Woolgar, A., Hampshire, A., Thompson, R., & Duncan, J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.2616-11.2011 · Cited by 202 · see citing works
Self-citationRepresentation of Multiple, Independent Categories in the Primate Prefrontal Cortex
Cromer, J. A., Roy, J. E., & Miller, E. K. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.005 · Cited by 190 · see citing works
Domain-general mechanisms of complex working memory span
Chein, J. M., Moore, A., & Conway, A. R. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.067 · Cited by 182 · see citing works
Thought Beyond Language: Neural Dissociation of Algebra and Natural Language
Monti, M. M., Parsons, L. M., & Osherson, D. N. (2012) · Psychological Science · doi:10.1177/0956797612437427 · Cited by 171 · see citing works
The boundaries of language and thought in deductive inference
Monti, M. M., Parsons, L. M., & Osherson, D. N. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902422106 · Cited by 170 · see citing works
Double dissociation of two cognitive control networks in patients with focal brain lesions
Nomura, E. M., Gratton, C., Visser, R. M., Kayser, A. S., Pérez, F., & D’Esposito, M. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002431107 · Cited by 167 · see citing works
Different functions in the cingulate cortex, a meta-analytic connectivity modeling study
Torta, D. M. E., & Cauda, F. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.03.066 · Cited by 166 · see citing works
Specificity of Human Parietal Saccade and Reach Regions during Transcranial Magnetic Stimulation
Vesia, M., Prime, S. L., Yan, X., Sergio, L., & Crawford, J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1644-10.2010 · Cited by 161 · see citing works
Decoding cognitive control in human parietal cortex
Esterman, M., Chiu, Y.-C., Tamber-Rosenau, B. J., & Yantis, S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903593106 · Cited by 158 · see citing works
Prefrontal Cortex Activity during Flexible Categorization
Roy, J. E., Riesenhuber, M., Poggio, T., & Miller, E. K. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.4837-09.2010 · Cited by 152 · see citing works
Champod, A. S., & Petrides, M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.0097-10.2010 · Cited by 142 · see citing works
Postle, B. R., Ferrarelli, F., Hamidi, M., Feredoes, E. A., Massimini, M., Peterson, M. J., Alexander, A., & Tononi, G. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.10.1712 · Cited by 141 · see citing works
A hierarchical model of the evolution of human brain specializations
Barrett, H. C. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201898109 · Cited by 139 · see citing works
Compositionality of Rule Representations in Human Prefrontal Cortex
Reverberi, C., Görgen, K., & Haynes, J. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr200 · Cited by 139 · see citing works
Task Difficulty Manipulation Reveals Multiple Demand Activity but no Frontal Lobe Hierarchy
Crittenden, B. M., & Duncan, J. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs333 · Cited by 138 · see citing works
Self-citationFlexible Coding for Categorical Decisions in the Human Brain
Li, S., Ostwald, D., Giese, M. A., & Kourtzi, Z. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3795-07.2007 · Cited by 131 · see citing works
Specificity of Human Cortical Areas for Reaches and Saccades
Levy, I., Schluppeck, D., Heeger, D. J., & Glimcher, P. W. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.0459-07.2007 · Cited by 131 · see citing works
Spatial and Effector Processing in the Human Parietofrontal Network for Reaches and Saccades
Beurze, S. M., de Lange, F. P., Toni, I., & Medendorp, W. P. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91194.2008 · Cited by 121 · see citing works
Hutchison, R. M., Gallivan, J. P., Culham, J. C., Gati, J. S., Menon, R. S., & Everling, S. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00891.2011 · Cited by 121 · see citing works
Common Neural Substrates for Response Selection across Modalities and Mapping Paradigms
Jiang, Y. V., & Kanwisher, N. (2003) · Journal of Cognitive Neuroscience · doi:10.1162/089892903322598067 · Cited by 120 · see citing works
Self-citationSaccade Preparation Signals in the Human Frontal and Parietal Cortices
Curtis, C. E., & Connolly, J. D. (2007) · Journal of Neurophysiology · doi:10.1152/jn.00899.2007 · Cited by 117 · see citing works
Tsuchida, A., & Fellows, L. K. (2012) · Cortex · doi:10.1016/j.cortex.2012.10.014 · Cited by 112 · see citing works
A Lateralized Brain Network for Visuospatial Attention (P02.026)
de Schotten, M. T., Dell’Acqua, F., Forkel, S. J., Simmons, A., Vergani, F., Murphy, D., & Catani, M. (2012) · Neurology · doi:10.1212/wnl.78.1_meetingabstracts.p02.026 · Cited by 101 · see citing works
Functional Rather than Effector-Specific Organization of Human Posterior Parietal Cortex
Heed, T., Beurze, S. M., Toni, I., Röder, B., & Medendorp, W. P. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.4370-10.2011 · Cited by 99 · see citing works
Rapid Transfer of Abstract Rules to Novel Contexts in Human Lateral Prefrontal Cortex
Cole, M. W., Etzel, J. A., Zacks, J. M., Schneider, W., & Braver, T. S. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00142 · Cited by 95 · see citing works
The evolution of complex sensory systems in mammals
Kaas, J. H. (1989) · Journal of Experimental Biology · doi:10.1242/jeb.146.1.165 · Cited by 87 · see citing works
Philipp, A. M., Weidner, R., Koch, I., & Fink, G. R. (2012) · Human Brain Mapping · doi:10.1002/hbm.22036 · Cited by 75 · see citing works
Hemispheric asymmetry in the efficiency of attentional networks
Asanowicz, D., Marzecová, A., Jaśkowskí, P., & Wolski, P. (2012) · Brain and Cognition · doi:10.1016/j.bandc.2012.02.014 · Cited by 71 · see citing works
The Function and Organization of Lateral Prefrontal Cortex: A Test of Competing Hypotheses
Reynolds, J. R., O’Reilly, R. C., Cohen, J. D., & Braver, T. S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030284 · Cited by 68 · see citing works
Begging the Question: The Nonindependence Error in fMRI Data Analysis
Vul, E., & Kanwisher, N. (2010) · Foundational Issues in Human Brain Mapping · doi:10.7551/mitpress/9780262014021.003.0007 · Cited by 65 · see citing works
Self-citationDifferential Neural Activation for Updating Rule versus Stimulus Information in Working Memory
Montojo, C. A., & Courtney, S. M. (2008) · Neuron · doi:10.1016/j.neuron.2008.05.012 · Cited by 63 · see citing works
Derrfuß, J., Vogt, V. L., Fiebach, C. J., von Cramon, D. Y., & Tittgemeyer, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.051 · Cited by 56 · see citing works
Distributed task coding throughout the multiple demand network of the human frontal–insular cortex
Stiers, P. L. J., Mennes, M., & Sunaert, S. G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.078 · Cited by 52 · see citing works
Dynamic Functional Organization of Language
Blumstein, S. E., & Amso, D. (2013) · Perspectives on Psychological Science · doi:10.1177/1745691612469021 · Cited by 43 · see citing works
Modulation of a fronto-parietal network in event-based prospective memory: An rTMS study
Bisiacchi, P. S., Cona, G., Schiff, S., & Basso, D. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.05.007 · Cited by 39 · see citing works
Attentional control: Temporal relationships within the fronto-parietal network
Shomstein, S., Kravitz, D. J., & Behrmann, M. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.02.009 · Cited by 35 · see citing works
Sub-centimeter scale functional organization in human inferior frontal gyrus
Hirose, S., Chikazoe, J., Jimura, K., Yamashita, K., Miyashita, Y., & Konishi, S. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.094 · Cited by 27 · see citing works
Dissociative Methods in the Study of Frontal Lobe Function
(2000) · The MIT Press eBooks · doi:10.7551/mitpress/1481.003.0036 · Cited by 19 · see citing works
Deciding where to look based on visual, auditory, and semantic information
Tark, K.-J., & Curtis, C. E. (2013) · Brain Research · doi:10.1016/j.brainres.2013.06.002 · Cited by 8 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [29]29. Blumstein S, Amso D (2013) Neural plasticity and dynamic functional organization: Insights from functional neuroimaging. Perspect Psychol Sci 8(1):44-48.
- [67]67. Hampshire A, Highfield RR, Parkin BL, Owen AM (2012) Fractionating human in- telligence. Neuron 76(6):1225-1237.
Cited by
Sorted by citations
Friedman, N. P., & Miyake, A. (2017) · Cortex · doi:10.1016/j.cortex.2016.04.023 · Cited by 1,834 · see citing works
The role of prefrontal cortex in cognitive control and executive function
Friedman, N. P., & Robbins, T. W. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01132-0 · Cited by 1,737 · see citing works
“The FPN and CON are functionally separable brain networks that enable flexible adaptive control and sustained taskset maintenance [142]; together, they form the MD network [143], a set of brain regions that is active during a range of tasks that require goal-directed behavior [139].”
BackgroundMethodResultTowards a universal taxonomy of macro-scale functional human brain networks
Uddin, L. Q., Yeo, B. T. T., & Spreng, R. N. (2019) · Brain Topography · doi:10.1007/s10548-019-00744-6 · Cited by 683 · see citing works
Reworking the language network
Fedorenko, E., & Thompson-Schill, S. L. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.12.006 · Cited by 615 · see citing works
Self-citationMcTeague, L. M., Huemer, J., Carreon, D. M., Jiang, Y., Eickhoff, S. B., & Etkin, A. (2017) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2017.16040400 · Cited by 635 · see citing works
“That is, in tasks ranging from working memory to inhibiting irrelevant information and selecting competing task-relevant responses (17), the dorsal anterior cingulate and left and right anterior insula extending to the ventrolateral prefrontal cortex are recruited in conjunction with the midcingulate cortex extending…”
BackgroundFrontal 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 · see citing works
Long-term neural and physiological phenotyping of a single human
Poldrack, R. A., Laumann, T. O., Koyejo, S., Gregory, B., Hover, A. M., Chen, M.-Y., Gorgolewski, K. J., Luci, J. J., Joo, S. J., Boyd, R. L., et al. (2015) · Nature Communications · doi:10.1038/ncomms9885 · Cited by 480 · see citing works
Davey, J., Thompson, H. E., Hallam, G., Karapanagiotidis, T., Murphy, C., De Caso, I., Krieger-Redwood, K., Bernhardt, B. C., Smallwood, J., & Jefferies, E. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.051 · Cited by 433 · see citing works
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 · see citing works
Self-citationThe Frontoparietal Control System: A Central Role in Mental Health
Cole, M. W., Repovš, G., & Anticevic, A. (2014) · The Neuroscientist · doi:10.1177/1073858414525995 · Cited by 461 · see citing works
Neurocomputational mechanisms underlying subjective valuation of effort costs
Chong, T. T.-J., Apps, M., Giehl, K., Sillence, A., Grima, L. L., & Husain, M. (2017) · PLOS Biology · doi:10.1371/journal.pbio.1002598 · Cited by 415 · see citing works
Origins of the brain networks for advanced mathematics in expert mathematicians
Amalric, M., & Dehaene, S. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1603205113 · Cited by 413 · see citing works
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 437 · see citing works
Process Overlap Theory: A Unified Account of the General Factor of Intelligence
Kovacs, K., & Conway, A. R. A. (2016) · Psychological Inquiry · doi:10.1080/1047840x.2016.1153946 · Cited by 432 · see citing works
Large-scale functional neural network correlates of response inhibition: an fMRI meta-analysis
Zhang, R., Geng, X., & Lee, T. M. C. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1443-x · Cited by 398 · see citing works
McTeague, L. M., Rosenberg, B. M., Lopez, J. W., Carreon, D. M., Huemer, J., Jiang, Y., Chick, C. F., Eickhoff, S. B., & Etkin, A. (2020) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18111271 · Cited by 388 · see citing works
Transdiagnostic impairment of cognitive control in mental illness
McTeague, L. M., Goodkind, M. S., & Etkin, A. (2016) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2016.08.001 · Cited by 368 · see citing works
Metaphorical Sentences Are More Emotionally Engaging than Their Literal Counterparts
CITRON, F. M. M., & Goldberg, A. E. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00654 · Cited by 363 · see citing works
Thiele, A., & Bellgrove, M. A. (2018) · Neuron · doi:10.1016/j.neuron.2018.01.008 · Cited by 350 · see citing works
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 · see citing works
A Domain-General Cognitive Core Defined in Multimodally Parcellated Human Cortex
Assem, M., Glasser, M. F., Essen, D. C. V., & Duncan, J. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa023 · Cited by 327 · see citing works
Self-citationThe neural correlates of semantic control revisited
Jackson, R. L. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117444 · Cited by 315 · see citing works
Functionally dissociable influences on learning rate in a dynamic environment
McGuire, J. T., Nassar, M. R., Gold, J. I., & Kable, J. W. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.013 · Cited by 299 · see citing works
The language network as a natural kind within the broader landscape of the human brain
Fedorenko, E. G., Ivanova, A. A., & Regev, T. I. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00802-4 · Cited by 327 · see citing works
Self-citationDefault mode contributions to automated information processing
Vatansever, D., Menon, D. K., & Stamatakis, E. A. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710521114 · Cited by 290 · see citing works
Functional connectivity during rested wakefulness predicts vulnerability to sleep deprivation
Yeo, B. T. T., Tandi, J., & Chee, M. W. L. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.018 · Cited by 265 · see citing works
Broca’s Area Is Not a Natural Kind
Fedorenko, E. G., & Blank, I. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.01.001 · Cited by 255 · see citing works
Self-citationThe hierarchical organization of the lateral prefrontal cortex
Nee, D. E., & D'Esposito, M. (2016) · eLife · doi:10.7554/elife.12112 · Cited by 233 · see citing works
A unifying account of angular gyrus contributions to episodic and semantic cognition
Humphreys, G. F., Lambon Ralph, M. A., & Simons, J. S. (2021) · Trends in Neurosciences · doi:10.1016/j.tins.2021.01.006 · Cited by 220 · see citing works
An investigation across 45 languages and 12 language families reveals a universal language network
Malik-Moraleda, S., Ayyash, D., Gallée, J., Affourtit, J., Hoffmann, M., Mineroff, Z., Jouravlev, O., & Fedorenko, E. G. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01114-5 · Cited by 247 · see citing works
Self-citationTask-induced brain activity in aphasic stroke patients: what is driving recovery?
Geranmayeh, F., Brownsett, S. L. E., & Wise, R. J. S. (2014) · Brain · doi:10.1093/brain/awu163 · Cited by 236 · see citing works
Violante, I. R., Li, L. M., Carmichael, D. W., Lorenz, R., Leech, R., Hampshire, A., Rothwell, J. C., & Sharp, D. J. (2017) · eLife · doi:10.7554/elife.22001 · Cited by 229 · see citing works
Neural correlate of the construction of sentence meaning
Fedorenko, E., Scott, T. L., Brunner, P., Coon, W. G., Pritchett, B., Schalk, G., & Kanwisher, N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612132113 · Cited by 199 · see citing works
Self-citationThe role of domain-general cognitive control in language comprehension
Fedorenko, E. G. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00335 · Cited by 222 · see citing works
Self-citationfMRI reveals language-specific predictive coding during naturalistic sentence comprehension
Shain, C., Blank, I. A., van Schijndel, M., Schuler, W., & Fedorenko, E. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107307 · Cited by 215 · see citing works
Self-citationContrasting network and modular perspectives on inhibitory control
Hampshire, A., & Sharp, D. J. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.06.006 · Cited by 208 · see citing works
Diachek, E., Blank, I., Siegelman, M., Affourtit, J., & Fedorenko, E. G. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.2036-19.2020 · Cited by 186 · see citing works
Self-citationButler, R. A., Ralph, M. A. L., & Woollams, A. M. (2014) · Brain · doi:10.1093/brain/awu286 · Cited by 198 · see citing works
On the existence of a generalized non-specific task-dependent network
Hugdahl, K., Raichle, M. E., Mitra, A., & Specht, K. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00430 · Cited by 169 · see citing works
Functional neuroanatomy of intuitive physical inference
Fischer, J., Mikhael, J. G., Tenenbaum, J. B., & Kanwisher, N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1610344113 · Cited by 194 · see citing works
Self-citationHumphreys, G. F., Hoffman, P., Visser, M., Binney, R. J., & Ralph, M. A. L. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422760112 · Cited by 178 · see citing works
Blank, I., Kanwisher, N., & Fedorenko, E. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00884.2013 · Cited by 181 · see citing works
Self-citationGolchert, J., Smallwood, J., Jefferies, E., Seli, P., Huntenburg, J. M., Liem, F., Lauckner, M. E., Oligschläger, S., Bernhardt, B. C., Villringer, A., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.025 · Cited by 178 · see citing works
Kievit, R., Davis, S. W., Mitchell, D. J., Taylor, J. R., Duncan, J., TYLER, L. K., Brayne, C., Bullmore, E. T., Calder, A. C., Cusack, R., et al. (2014) · Nature Communications · doi:10.1038/ncomms6658 · Cited by 176 · see citing works
Self-citationLack of selectivity for syntax relative to word meanings throughout the language network
Fedorenko, E., Blank, I. A., Siegelman, M., & Mineroff, Z. (2020) · Cognition · doi:10.1016/j.cognition.2020.104348 · Cited by 170 · see citing works
Self-citationHarding, I. H., Yücel, M., Harrison, B. J., Pantelis, C., & Breakspear, M. J. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.039 · Cited by 173 · see citing works
Syntactic processing is distributed across the language system
Blank, I., Balewski, Z. Z., Mahowald, K., & Fedorenko, E. G. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.069 · Cited by 173 · see citing works
Self-citationAssessing and mapping language, attention and executive multidimensional deficits in stroke aphasia
Schumacher, R., Halai, A. D., & Ralph, M. A. L. (2019) · Brain · doi:10.1093/brain/awz258 · Cited by 169 · see citing works
Badcock, P. B., Friston, K. J., Ramstead, M. J. D., Ploeger, A., & Hohwy, J. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00721-3 · Cited by 166 · see citing works
Prediction during language comprehension: what is next?
Ryskin, R. A., & Nieuwland, M. S. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.08.003 · Cited by 183 · see citing works
The neural and neurocomputational bases of recovery from post-stroke aphasia
Stefaniak, J. D., Halai, A. D., & Ralph, M. A. L. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0282-1 · Cited by 165 · see citing works
Integrated Intelligence from Distributed Brain Activity
Duncan, J., Assem, M., & Shashidhara, S. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.06.012 · Cited by 170 · see citing works
Self-citationLv, J., Jiang, X., Li, X., Zhu, D., Zhang, S., Zhao, S., Chen, H., Zhang, T., Hu, X., Han, J., et al. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2369495 · Cited by 159 · see citing works
Definition and characterization of an extended multiple-demand network
Camilleri, J. A., Müller, V. I., Fox, P. M., Laird, A. R., Hoffstaedter, F., Tobias Kalenscher, A., & Eickhoff, S. B. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.020 · Cited by 159 · see citing works
Frequency-specific electrophysiologic correlates of resting state fMRI networks
Hacker, C. D., Snyder, A. Z., Pahwa, M., Corbetta, M., & Leuthardt, E. C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.054 · Cited by 139 · see citing works
Langner, R., Leiberg, S., Hoffstaedter, F., & Eickhoff, S. B. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.04.022 · Cited by 144 · see citing works
Three distinct sets of connector hubs integrate human brain function
Gordon, E. M., Lynch, C. J., Gratton, C., Laumann, T. O., Gilmore, A. W., Greene, D. J., Ortega, M., Nguyen, A. L., Schlaggar, B. L., Petersen, S. E., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.07.050 · Cited by 149 · see citing works
Role of the Default Mode Network in Cognitive Transitions
Smith, V., Mitchell, D. J., & Duncan, J. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy167 · Cited by 144 · see citing works
Self-citationWalenski, M., Europa, E., Caplan, D. N., & Thompson, C. K. (2019) · Human Brain Mapping · doi:10.1002/hbm.24523 · Cited by 149 · see citing works
Li, L. M., Violante, I. R., Leech, R., Ross, E., Hampshire, A., Opitz, A., Rothwell, J. C., Carmichael, D. W., & Sharp, D. J. (2018) · Human Brain Mapping · doi:10.1002/hbm.24420 · Cited by 148 · see citing works
Martin, U., Keller, J., & Grön, G. (2015) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsv133 · Cited by 149 · see citing works
Geranmayeh, F., Chau, T. W., Wise, R. G., Leech, R., & Hampshire, A. (2017) · Brain · doi:10.1093/brain/awx134 · Cited by 147 · see citing works
Overlapping Networks Engaged during Spoken Language Production and Its Cognitive Control
Geranmayeh, F., Wise, R. J. S., Mehta, A., & Leech, R. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0428-14.2014 · Cited by 143 · see citing works
Crittenden, B. M., Mitchell, D. J., & Duncan, J. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.4590-15.2016 · Cited by 143 · see citing works
Self-citationTowards a systematization of brain oscillatory activity in actions
Beste, C., Münchau, A. M., & Frings, C. (2023) · Communications Biology · doi:10.1038/s42003-023-04531-9 · Cited by 144 · see citing works
An information-theoretic perspective on the costs of cognition
Zénon, A., Solopchuk, O., & Pezzulo, G. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.09.013 · Cited by 142 · see citing works
Prefrontal–parietal function: from foraging to foresight
Genovesio, A., Wise, S. P., & Passingham, R. E. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.11.007 · Cited by 137 · see citing works
Chiou, R. Y.-C., Humphreys, G. F., Jung, J., & Ralph, M. A. L. (2018) · Cortex · doi:10.1016/j.cortex.2018.02.018 · Cited by 134 · see citing works
The Quest for the FFA and Where It Led
Kanwisher, N. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1706-16.2016 · Cited by 134 · see citing works
Self-citationBracci, S., Daniëls, N., & de Beeck, H. O. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhw419 · Cited by 128 · see citing works
Working Memory Load Strengthens Reward Prediction Errors
Collins, A. G. E., Ciullo, B., Frank, M. J., & Badre, D. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.2700-16.2017 · Cited by 129 · see citing works
Lam, N. H. L., Schoffelen, J., Uddén, J., Hultén, A., & Peter Hagoort, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.007 · Cited by 126 · see citing works
A distinct cortical network for mathematical knowledge in the human brain
Amalric, M., & Dehaene, S. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.001 · Cited by 126 · see citing works
A new fun and robust version of an fMRI localizer for the frontotemporal language system
Scott, T. L., Gallée, J., & Fedorenko, E. (2017) · Cognitive Neuroscience · doi:10.1080/17588928.2016.1201466 · Cited by 125 · see citing works
Self-citationHoffman, P., & Morcom, A. M. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.11.010 · Cited by 122 · see citing works
Looking beyond the face area: lesion network mapping of prosopagnosia
Cohen, A. L., Soussand, L., Corrow, S. L., Martinaud, O., Barton, J. J. S., & Fox, M. (2019) · Brain · doi:10.1093/brain/awz332 · Cited by 121 · see citing works
Krieger-Redwood, K., Jefferies, E., Karapanagiotidis, T., Seymour, R., Nunes, A., Ang, J. W. A., Majernikova, V., Mollo, G., & Smallwood, J. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.060 · Cited by 106 · see citing works
Schalk, G., Kapeller, C., Guger, C., Ogawa, H., Hiroshima, S., Lafer-Sousa, R., Saygin, Z. M., Kamada, K., & Kanwisher, N. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1713447114 · Cited by 120 · see citing works
Self-citationIntegrative frontal-parietal dynamics supporting cognitive control
Nee, D. E. (2021) · eLife · doi:10.7554/elife.57244 · Cited by 112 · see citing works
Sripada, C., Angstadt, M., Rutherford, S. E., Taxali, A., & Shedden, K. (2020) · Human Brain Mapping · doi:10.1002/hbm.25007 · Cited by 117 · see citing works
Comprehension of computer code relies primarily on domain-general executive brain regions
Ivanova, A. A., Srikant, S., Sueoka, Y., Kean, H., Dhamala, R., O’Reilly, U.-M., Bers, M. U., & Fedorenko, E. G. (2020) · eLife · doi:10.7554/elife.58906 · Cited by 111 · see citing works
Self-citationWilson, S. M., & Schneck, S. M. (2020) · Neurobiology of Language · doi:10.1162/nol_a_00025 · Cited by 115 · see citing works
How does hemispheric specialization contribute to human-defining cognition?
Hartwigsen, G., Bengio, Y., & Bzdok, D. (2021) · Neuron · doi:10.1016/j.neuron.2021.04.024 · Cited by 118 · see citing works
Controversies and progress on standardization of large-scale brain network nomenclature
Uddin, L. Q., Betzel, R. F., Cohen, J. R., Damoiseaux, J. S., Brigard, F. D., Eickhoff, S. B., Fornito, A., Gratton, C., Gordon, E. M., Laird, A. R., et al. (2023) · Network Neuroscience · doi:10.1162/netn_a_00323 · Cited by 119 · see citing works
Du, J., DiNicola, L. M., Angeli, P. A., Saadon‐Grosman, N., Sun, W., Kaiser, S., Ladopoulou, J., Xue, A., Yeo, B. T. T., Eldaief, M. C., et al. (2024) · Journal of Neurophysiology · doi:10.1152/jn.00308.2023 · Cited by 117 · see citing works
Emmanuelle Volle, C. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316556238.020 · Cited by 112 · see citing works
Fluid intelligence is supported by the multiple-demand system not the language system
Woolgar, A., Duncan, J., Manes, F. F., & Fedorenko, E. G. (2018) · Nature Human Behaviour · doi:10.1038/s41562-017-0282-3 · Cited by 104 · see citing works
Self-citationTask-Dependent Recruitment of Modality-Specific and Multimodal Regions during Conceptual Processing
Kuhnke, P., Kiefer, M., & Hartwigsen, G. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa010 · Cited by 109 · see citing works
Composition is the Core Driver of the Language-selective Network
Mollica, F., Diachek, E., Mineroff, Z., Kean, H., Siegelman, M., Piantadosi, S. T., Futrell, R., Qian, P., & Fedorenko, E. G. (2020) · Neurobiology of Language · doi:10.1162/nol_a_00005 · Cited by 108 · see citing works
Self-citationWhite matter tracts and executive functions: a review of causal and correlation evidence
Ribeiro, M., Yordanova, Y. N., Noblet, V., Herbet, G., & Ricard, D. (2023) · Brain · doi:10.1093/brain/awad308 · Cited by 116 · see citing works
Neural Coding of Cognitive Control: The Representational Similarity Analysis Approach
Freund, M. C., Etzel, J. A., & Braver, T. S. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.03.011 · Cited by 113 · see citing works
Hoffman, P. (2018) · Scientific Reports · doi:10.1038/s41598-018-26569-0 · Cited by 101 · see citing works
Paunov, A. M., Blank, I., & Fedorenko, E. G. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00619.2018 · Cited by 97 · see citing works
Self-citationKasdan, A. V., Burgess, A. N., Pizzagalli, F., Scartozzi, A., Chern, A., Kotz, S. A., Wilson, S. M., & Gordon, R. L. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104588 · Cited by 101 · see citing works
Network dysfunction predicts speech production after left hemisphere stroke
Geranmayeh, F., Leech, R., & Wise, R. J. S. (2016) · Neurology · doi:10.1212/wnl.0000000000002537 · Cited by 92 · see citing works
Antzoulatos, E. G., & Miller, E. K. (2016) · eLife · doi:10.7554/elife.17822 · Cited by 100 · see citing works
Neural foundations and functional specificity of number representations
Manuela Piazza, A., & Eger, E. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.09.025 · Cited by 99 · see citing works
Increasing honesty in humans with noninvasive brain stimulation
Maréchal, M. A., Cohn, A., Ugazio, G., & Ruff, C. C. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1614912114 · Cited by 98 · see citing works
A novel ecological account of prefrontal cortex functional development.
Werchan, D. M., & Amso, D. (2017) · Psychological Review · doi:10.1037/rev0000078 · Cited by 101 · see citing works
Hsu, N. S., Jaeggi, S. M., & Novick, J. M. (2017) · Brain and Language · doi:10.1016/j.bandl.2016.12.006 · Cited by 95 · see citing works
- Authors
- Fedorenko, E., Duncan, J., & Kanwisher, N.
- Affiliations
- McGovern Institute for Brain Research (US)
- MRC Cognition and Brain Sciences Unit (GB)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-09-23
- Volume
- 110
- Issue
- 41
- Pages
- 16616-16621
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3799302
- OpenAlex
- W2001896589
- Cited by
- 952
- References
- 99
- Citations by year
- 2026: 79 · 2025: 101 · 2024: 93 · 2023: 63 · 2022: 82 · 2021: 94 · 2020: 90 · 2019: 85 · 2018: 62 · 2017: 75 · 2016: 61 · 2015: 42 · 2014: 23 · 2013: 2
- FWCI
- 23.40
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- National Science Foundation (057522, 0904625)
- Ellison Medical Foundation
- Massachusetts Institute of Technology
- National Institutes of Health (5k99hd057522-02)
- McGovern Institute for Brain Research, Massachusetts Institute of Technology
- Medical Research Council
- National Eye Institute (R01EY013455)
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (K99 HD-057522)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- domain generality, domain specificity, frontal cortex, parietal cortex, cognitive flexibility, arithmetic, working memory, cognitive inhibition, single-subject analysis, functional topography
- MeSH terms
- Adult, Brain Mapping, Cognition, Female, Frontal Lobe, Humans, Magnetic Resonance Imaging, Male, Massachusetts, Middle Aged, Neuropsychological Tests, Parietal Lobe
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
