The DOI matches its Crossref record; 120 of the 120 references it cites were found in a registry or an index.
Neural mechanisms of interference control underlie the relationship between fluid intelligence and working memory span.
Open accessAbstract
Fluid intelligence (gF) and working memory (WM) span predict success in demanding cognitive situations. Recent studies show that much of the variance in gF and WM span is shared, suggesting common neural mechanisms. This study provides a direct investigation of the degree to which shared variance in gF and WM span can be explained by neural mechanisms of interference control. The authors measured performance and functional magnetic resonance imaging activity in 102 participants during the n-back WM task, focusing on the selective activation effects associated with high-interference lure trials. Brain activity on these trials was correlated with gF, WM span, and task performance in core brain regions linked to WM and executive control, including bilateral dorsolateral prefrontal cortex (middle frontal gyrus; BA9) and parietal cortex (inferior parietal cortex; BA 40/7). Interference-related performance and interference-related activity accounted for a significant proportion of the shared variance in gF and WM span. Path analyses indicate that interference control activity may affect gF through a common set of processes that also influence WM span. These results suggest that individual differences in interference-control mechanisms are important for understanding the relationship between gF and WM span.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“neuroimaging evidence has demonstrated functional overlap in the lateral prefrontal and parietal cortices, implicating shared neural resources that underlie both constructs (Burgess, Gray, Conway, & Braver, 2011).”
From Improving fluid intelligence with training on working memory: a meta-analysis (2015) · cites this paper as Burgess, Gray, Conway, & Braver, 2011
The cited source says what the claim attributes to it.
In the citing paper
“On theoretical grounds, the observed improvements are plausible, since Gf and n-back performance draw upon overlapping cognitive and neural processes, including shared demands on WM and interference resolution (Burgess et al., 2011;Buschkuehl, Hernandez-Garcia, Jaeggi, Bernard, & Jonides, 2014;von Bastian & Oberauer, 2013).”
From Improving fluid intelligence with training on working memory: a meta-analysis (2015) · cites this paper as Burgess et al., 2011
The cited source says what the claim attributes to it.
In the citing paper
“One of the most common tasks used in these WM training studies is the N-back, an updating task that correlates significantly with measures of higher-level cognition, such as Matrix Reasoning20–24.”
From Near transfer to an unrelated N-back task mediates the effect of N-back working memory training on matrix reasoning (2022) · cites this paper as [20]
In the citing paper
“the adjustment of distinct executive control strategies (proactive versus reactive), which have been proposed to support cognitive flexibility2 (Braver et al., 2009; Burgess et al., 2011; Braver, 2012).”
From Training on Working Memory and Inhibitory Control in Young Adults (2016) · cites this paper as Burgess et al., 2011
In the citing paper
“The AX-CPT is widely used to explore the dynamic adjustment of cognitive control strategies and it has shown to be very sensitive to individual differences in cognitive control (Braver et al., 2009; Burgess et al., 2011; Braver, 2012).”
From Training on Working Memory and Inhibitory Control in Young Adults (2016) · cites this paper as Burgess et al., 2011
In the citing paper
“This is despite previous data indicating notable correlations between n-back tasks and complex span tasks [57,58].”
From Dual N-back working memory training in healthy adults: A randomized comparison to processing speed training. (2016) · cites this paper as [57]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
1 retracted
Persson, J., & Reuter‐Lorenz, P. A. (2008) · Psychological Science · doi:10.1111/j.1467-9280.2008.02172.x · Cited by 109
RetractedStructural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2072165 · Cited by 17,475
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
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Mediation in experimental and nonexperimental studies: New procedures and recommendations.
Shrout, P. E., & Bolger, N. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.4.422 · Cited by 11,335
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
(1967) · Medical Entomology and Zoology · Cited by 7,532
(1998) · Cited by 4,172
Movement‐Related effects in fMRI time‐series
Friston, K. J., Williams, S., Howard, R., Frackowiak, R. S. J., & Turner, R. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350312 · Cited by 3,774
(1996) · Choice Reviews Online · doi:10.5860/choice.34-2458 · Cited by 3,746
Flagged first, then by citations
Cited by
Sorted by citations
Items 201–228 of 228
Desmarais, A., & Vachon, F. (2022) · Psychological Research · doi:10.1007/s00426-022-01677-9 · Cited by 1
Mikellidou, K., Lambrou, N., Georgiou, E., & Avraamides, M. N. (2023) · PLoS ONE · doi:10.1371/journal.pone.0289590 · Cited by 1
Electroencephalographic Microstate Correlates of Fluid Intelligence
Khanna, A. R. (2016) · Digital Access to Scholarship at Harvard (DASH) (Harvard University) · Cited by 1
Stocco, A., Smith, B. M., PeConga, E. K., & Zoellner, L. A. (2021) · doi:10.31234/osf.io/rwz6u · Cited by 1
Neural Mechanisms Supporting the Relationship between Working Memory Capacity and Proactive ControlPreprint
Feldman, R. L., Quale, M., Etzel, J. A., & Braver, T. S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.09.653198 · Cited by 1
Self-citationDurand, F., Gaudeau, C., Moulier, V., Andrianisaina, P. S., Bertasi, E., Isaac, C., Braha-Zeitoun, S., Bouaziz, N., & Januel, D. (2014) · European Psychiatry · doi:10.1016/j.eurpsy.2014.09.329
Balázs, F. (2015) · Publications of the UdS (Saarland University) · doi:10.22028/d291-23387
Teubner-Rhodes, S. E., Mishler, A., Corbett, R., Andreu, L., Sanz, M., Trueswell, J. C., & Novick, J. M. (2012)
Bancroft, T. D. (2016) · Scholars Commons (Wilfrid Laurier University)
The Affective Consequences of Inhibition in Memory
Vito, D. D. (2014) · The Atrium (University of Guelph)
Agnello, P. (2018) · CUNY Academic Works (City University of New York)
Neuroscience Perspectives on Cognitive Training
Kuchinsky, S. E., & Haarmann, H. J. (2019) · Oxford University Press eBooks · doi:10.1093/oso/9780199974467.003.0005 · Cited by 1
Neuroimaging Methods and Findings
(2021) · Cambridge University Press eBooks · doi:10.1017/9781108635462.013
Pascual, M. B. (2021) · Revista Española de Educación Física y Deportes · doi:10.55166/reefd.vi431.948
Intellectual Styles of Students with Hearing Impairment
Cheng, S. (2023) · Springer eBooks · doi:10.1007/978-981-19-8810-3_2
Vztah mezi tréninkem pracovní paměti a inteligencí
Škobrtal, P., & Yong, L. (2013) · Cognitive Remediation Journal · doi:10.5507/crj.2013.012
Evidence for a general cognitive structure in pigeons (Columba livia)
Flaim, M. E., & Blaisdell, A. P. (2024) · Animal Cognition · doi:10.1007/s10071-024-01912-3
Campo, F. F., Carlomagno, F., & Brattico, E. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-81706-9_3
Predicción del rendimiento en cursos STEM: Evidencia de un modelo de ecuaciones estructurales
Chaves-Ulate, C., Boza-Oreamuno, S., Herrera, B. M., & Montero-Rojas, E. (2025) · Innovaciones educativas · doi:10.22458/ie.v27i43.5562
Alhwaiti, M. (2025) · Applied Neuropsychology Child · doi:10.1080/21622965.2025.2598839
Speciaal onderwijs voor hoogbegaafde leerlingen
Rozendal, K. M., & Martens, L. N. (2013) · Utrecht University Repository (Utrecht University)
N-back task revisited: Comparing the neural correlates of updating and interference controlPreprint
Hidalgo‐Lopez, E. (2025) · OSF Preprints (OSF Preprints) · doi:10.17605/osf.io/j4cpm
Dong, Z., Bi, Y., Yang, H., Zhu, F., Li, J. Z., Mingxue, F., Wang, S. Q., & Gong, Z. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1788696
Li, G., Zhang, W., Teng, G., Ye, M., Liu, Z., Liu, Y., & Chen, A. (2026) · Psychology of sport and exercise · doi:10.1016/j.psychsport.2026.103185
Lopes, S. L., Ferreira, A. I., Stilwell, D., Ştefănuţ, T., Costescu, C. A., David, C., Campos, J., Brito, J., Vera, L., Herrera, G., et al. (2026) · Applied Cognitive Psychology · doi:10.1002/acp.70265
Improving prediction of cognitive abilities through integrated resting-state and task-based fMRI
Jiang, Y., Chan, V., Wong, J. J., Saxena, D., Pang, M. Y., Shum, D., Wong, N., & Chau, B. K. H. (2026) · Patterns · doi:10.1016/j.patter.2026.101715
Vieth, H. E. (2015) · The University of Queensland · doi:10.14264/uql.2015.601
Metadata
- Authors
- Burgess, G. C., Gray, J. R., Conway, A. R. A., & Braver, T. S.
- Affiliations
- Washington University in St. Louis (US)
- Yale University (US)
- Princeton University (US)
- Venue
- Journal of Experimental Psychology: General
- Published
- 2011-11
- Volume
- 140
- Issue
- 4
- Pages
- 674-692
- ISSN
- 0096-3445 (ISSN-L)
- 1939-2222
- PMC
- PMC3930174
- OpenAlex
- W2163420224
- Cited by
- 231
- References
- 120
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 5 · 2023: 4 · 2022: 12 · 2021: 23 · 2020: 11 · 2019: 15 · 2018: 15 · 2017: 20 · 2016: 24 · 2015: 25 · 2014: 22 · 2013: 20 · 2012: 11
- FWCI
- 23.91
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Experimental Psychology General (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (R01 MH66088, RO1 MH66078)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Keywords
- fluid intelligence, working memory span, interference control, shared variance, n-back task, dorsolateral prefrontal cortex, inferior parietal cortex, executive function, individual differences, neural mechanisms
- MeSH terms
- Adolescent, Adult, Female, Humans, Individuality, Intelligence, Magnetic Resonance Imaging, Male, Memory, Short-Term, Neuropsychological Tests, Parietal Lobe, Models, Statistical, Prefrontal Cortex, Young Adult, Executive Function
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