The DOI matches its Crossref record; 266 of the 266 references it cites were found in a registry or an index.
Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions
Open accessAbstract
Classic cognitive theory conceptualizes executive functions as involving multiple specific domains, including initiation, inhibition, working memory, flexibility, planning, and vigilance. Lesion and neuroimaging experiments over the past two decades have suggested that both common and unique processes contribute to executive functions during higher cognition. It has been suggested that a superordinate fronto–cingulo–parietal network supporting cognitive control may also underlie a range of distinct executive functions. To test this hypothesis in the largest sample to date, we used quantitative meta-analytic methods to analyze 193 functional neuroimaging studies of 2,832 healthy individuals, ages 18–60, in which performance on executive function measures was contrasted with an active control condition. A common pattern of activation was observed in the prefrontal, dorsal anterior cingulate, and parietal cortices across executive function domains, supporting the idea that executive functions are supported by a superordinate cognitive control network. However, domain-specific analyses showed some variation in the recruitment of anterior prefrontal cortex, anterior and midcingulate regions, and unique subcortical regions such as the basal ganglia and cerebellum. These results are consistent with the existence of a superordinate cognitive control network in the brain, involving dorsolateral prefrontal, anterior cingulate, and parietal cortices, that supports a broad range of executive functions.
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“For example, Niendam et al.‘s [137] meta-analytic study of 193 neuroimaging fMRI studies of EF showed broad patterns of activation across the lateral and medial PFC, including regions BA-9 and BA-46 (dlPFC) and BA-32 (rostral ACC), as well as both superior and inferior regions of the parietal lobes for tasks with predominantly working memory, flexibility, or inhibitory components.”
From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [137]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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 [137]
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“At the neurobiological level, this unity can be seen in the overall patterns of neural activations during CC tasks [135–137]: Neuroimaging studies suggest that individuals performing these kinds of tasks generally activate some of the same brain regions across multiple tasks, although they also activate some regions that are unique to a particular task.”
From The role of prefrontal cortex in cognitive control and executive function (2022) · cites this paper as [137]
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“The ECN, which overlaps with the frontostriatal and frontoparietal networks, is a fundamental neural substrate underpinning higher-order cognitive functions.”
From Cognitive Inflexibility Shares Across Schizophrenia and Obsessive-Compulsive Disorder: A Task-Based Functional MRI Study (2025) · cites this paper as [39]
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“The cognitive control network (CCN),7 mainly comprising the dorsolateral prefrontal cortex (DLPFC), dorsomedial prefrontal cortex, postparietal cortex, and frontal eye fields, plays a pivotal role in regulating top-down cognitive processes.8”
From Can Intermittent Theta-Burst Stimulation of Dorsolateral Prefrontal Cortex Relieve Executive Dysfunction in Patients With Late-Life Depression? (2024) · cites this paper as [7]
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“The DLPFC is a key node within the cognitive control network, 13 which is thought to subserve executive functions, such as response inhibition, set-shifting, and planning.”
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In the citing paper
“The Go system could drive craving and engage habits via the basal ganglia.105,127”
From Neurobiology of addiction: a neurocircuitry analysis (2016) · cites this paper as [127]
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“It is now widely established that the frontoparietal control network (FPCN) plays an important role in executive control of attention.156–159”
From The default network and self-generated thought: component processes, dynamic control, and clinical relevance (2014) · cites this paper as [158]
In the citing paper
“Although the prefrontal cortex (PFC) is thought to play a key role in mediating executive control, neuroimaging and lesion studies demonstrated that the performance of executive tasks is associated with activation in a large set of brain regions, involving prefrontal and parietal areas, motor regions, as well as subcortical structures, such as basal ganglia and thalamus (Duncan and Owen, 2000; D”
From Executive control training from middle childhood to adolescence (2014) · cites this paper as Niendam et al., 2012
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“Decades of functional neuroimaging work has delineated brain networks underlying EFs that contribute to cognitive flexibility (21,22), namely the executive control/lateral frontoparietal (L-FPN) and salience/midcingulo-insular networks (M-CIN) (23–25).”
From Brain Mechanisms Supporting Flexible Cognition and Behavior in Adolescents With Autism Spectrum Disorder (2021) · cites this paper as [22]
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Metadata
- Authors
- Niendam, T. A., Laird, A. R., Ray, K. L., Dean, Y. M., Glahn, D. C., & Carter, C. S.
- Affiliations
- University of California, Davis (US)
- The University of Texas at San Antonio Health Science Center (US)
- Yale University (US)
- Corresponding author
- Niendam, Tara A.
- Venue
- Cognitive, Affective, & Behavioral Neuroscience
- Published
- 2012-01-27
- Volume
- 12
- Issue
- 2
- Pages
- 241-268
- ISSN
- 1530-7026 (ISSN-L)
- 1531-135X
- PMC
- PMC3660731
- OpenAlex
- W2019930104
- Semantic Scholar
- 98fddd2e31078947295c667fc52d483f3e530f48
- Cited by
- 1,700
- References
- 266
- Citations by year
- 2026: 119 · 2025: 153 · 2024: 156 · 2023: 143 · 2022: 156 · 2021: 170 · 2020: 117 · 2019: 146 · 2018: 123 · 2017: 125 · 2016: 84 · 2015: 75 · 2014: 77 · 2013: 39 · 2012: 15
- FWCI
- 33.31
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Cognitive Affective & Behavioral Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (P60AA007611)
- National Institute of Mental Health (R01MH074457, R01MH078143, R24MH081807, R01MH059883, K23MH087708, R01MH083824)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- executive function, cognitive control, dorsolateral prefrontal cortex, anterior cingulate cortex, parietal cortex, inhibition, working memory, cognitive flexibility, basal ganglia, cerebellum, functional neuroimaging
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Cognition, Female, Humans, Functional Laterality, Male, Middle Aged, Neural Pathways, Neuropsychological Tests, Radionuclide Imaging, Visual Perception, Young Adult, Executive Function, Neuroimaging
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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.
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