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 101–200 of 228
Slow Wave Activity Related to Working Memory Maintenance in the N-Back Task
Bailey, K., Mlynarczyk, G. S. A., & West, R. (2016) · Journal of Psychophysiology · doi:10.1027/0269-8803/a000164 · Cited by 24
Li, G., Chen, Y. S., Le, T. M., Wang, W., Tang, X., & Li, C. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-89433-8 · Cited by 23
Hakun, J. G., & Johnson, N. F. (2017) · Brain and Cognition · doi:10.1016/j.bandc.2017.08.007 · Cited by 23
Ekman, U., Eriksson, J., Forsgren, L., Domellöf, M. E., Elgh, E., Lundquist, A., & Nyberg, L. H. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00207 · Cited by 21
Interference due to shared features between action plans is influenced by working memory span
Fournier, L. R., Behmer, L. P., & Stubblefield, A. M. (2014) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0627-0 · Cited by 21
Takeuchi, H., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Hanawa, S., Araki, T., et al. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1747-5 · Cited by 23
Working memory and fluid intelligence: A multi-mechanism view
Conway, A. R. A., Macnamara, B. N., Getz, S. J., & de Abreu, P. E. (2011) · Open Repository and Bibliography (University of Luxembourg) · Cited by 21
Self-citationColom, R., Martínez, K., Burgaleta, M., Román, F. J., García‐García, D., Gunter, J. L., Hua, X., Jaeggi, S. M., & Thompson, P. M. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.03.087 · Cited by 21
Minamoto, T., Yaoi, K., Osaka, M., & Osaka, N. (2015) · Cortex · doi:10.1016/j.cortex.2015.07.025 · Cited by 22
Troche, S. J., Thomas, P., Tadin, D., & Rammsayer, T. H. (2017) · Intelligence · doi:10.1016/j.intell.2017.12.002 · Cited by 20
Toward a formal theory of proactivity
Lieder, F., & Iwama, G. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-021-00884-y · Cited by 21
Kempe, V., Thoresen, J. C., Kirk, N. W., Schaeffler, F., & Brooks, P. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048623 · Cited by 20
Wongupparaj, P., Kumari, V., & Morris, R. G. (2015) · European Psychiatry · doi:10.1016/j.eurpsy.2014.06.001 · Cited by 26
Stocco, A., Rice, P. G., Thomson, R., Smith, B. M., Morrison, D., & Lebiere, C. J. (2023) · Computational Brain & Behavior · doi:10.1007/s42113-023-00189-y · Cited by 22
The Illusion of Conscious Thought
Carruthers, P. (2018) · Bloomsbury Publishing Plc eBooks · doi:10.5040/9781474229043.0021 · Cited by 19
Sana, F., & Fenesi, B. (2025) · Behavioral Sciences · doi:10.3390/bs15060765 · Cited by 21
Behavioral and brain dynamics of executive control in relation to children's fluid intelligence
Rico‐Picó, J., Hoyo, Á., Guerra, S., Conejero, Á., & Rueda, M. R. (2020) · Intelligence · doi:10.1016/j.intell.2020.101513 · Cited by 20
Comparing brain activations associated with working memory and fluid intelligence
Clark, C. M., Lawlor‐Savage, L., & Goghari, V. M. (2017) · Intelligence · doi:10.1016/j.intell.2017.06.001 · Cited by 20
Zabihi, M., Kia, S. M., Wolfers, T., de Boer, A. A. A., Fraza, C., Soheili‐Nezhad, S., Llera, A., Bzdok, D., Beckmann, C. F., Beckmann, C. F., et al. (2024) · PLoS ONE · doi:10.1371/journal.pone.0308329 · Cited by 19
Lozano, V., Soriano, M. F., Aznarte, J. I., Gómez‐Ariza, C. J., & Bajo, M. T. (2015) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2015.1102870 · Cited by 17
National Non-verbal Cognitive Ability Test (BNV) Development Study
Bіldіren, A., Bilgen, Ö. B., & Korkmaz, M. (2021) · SAGE Open · doi:10.1177/21582440211046945 · Cited by 16
Intelligence, Where to Look, Where to Go?
de Boeck, P. A. L. (2013) · Journal of Intelligence · doi:10.3390/jintelligence1010005 · Cited by 15
Urbánek, T., & Marček, V. (2015) · Psychological Research · doi:10.1007/s00426-015-0687-4 · Cited by 18
Du, X., Ji, Y., Chen, T., Tang, Y., & Han, B. (2018) · Psychology and Aging · doi:10.1037/pag0000311 · Cited by 15
Interference Control in Working Memory Is Associated with Ventrolateral Prefrontal Cortex Volume
Samrani, G., Bäckman, L., & Persson, J. (2019) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01430 · Cited by 17
Inhibitory Processes and Fluid Intelligence: a Performance at Early Years of Schooling
Aydmune, Y. S., Introzzi, I. M., Zamora, E. V., & Stelzer, F. (2020) · International journal of psychological research · doi:10.21500/20112084.4231 · Cited by 15
Executive function-related functional connectomes predict intellectual abilities
He, L., Liu, W., Zhuang, K., Meng, J., & Qiu, J. (2021) · Intelligence · doi:10.1016/j.intell.2021.101527 · Cited by 15
Ye, C., Liu, R., Guo, L., Zhao, G., & Liu, Q. (2024) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-024-01166-z · Cited by 15
Smoleń, T., & Chuderski, A. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01270 · Cited by 15
Working Memory and Intelligence: An Overview
Andrew R. A. Conway, B. N. M. (2013) · Psychology Press eBooks · doi:10.4324/9780203094600-8 · Cited by 15
Thinking, Young and Old: Cognitive Job Demands and Strain Across the Lifespan
Abbasi, A. A., & Bordia, P. (2018) · Work Aging and Retirement · doi:10.1093/workar/way013 · Cited by 19
Wang, L., Sheng, A., Chang, L., & Zhou, R. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1025036 · Cited by 14
Midlife memory ability accounts for brain activity differences in healthy aging
Pudas, S., Persson, J., Nilsson, L., & Nyberg, L. H. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.05.022 · Cited by 13
Rao, N. K., Motes, M. A., & Bart Rypma, A. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00840 · Cited by 13
Cowan, N., & Saults, J. S. (2012) · Journal of Experimental Psychology General · doi:10.1037/a0027804 · Cited by 16
Loosli, S. V., Falquez, R., Unterrainer, J. M., Weiller, C., Rahm, B., & Kaller, C. P. (2015) · International Psychogeriatrics · doi:10.1017/s1041610215001519 · Cited by 14
An event-related potential study of spatial working memory in binge drinking college students
Park, S., & Kim, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0203696 · Cited by 17
Assessing Working Memory Capacity Through Time-Constrained Elementary Activities
Lucidi, A., Loaiza, V. M., Camos, V., & Barrouillet, P. (2014) · The Journal of General Psychology · doi:10.1080/00221309.2013.870121 · Cited by 12
Optimal testing time for suppression of competitors during interference resolution
Ngo, K. W. J., & Hasher, L. (2017) · Memory · doi:10.1080/09658211.2017.1309437 · Cited by 12
Neurophysiological indices of the transfer of cognitive training gains to untrained tasks
Wang, X., & Covey, T. J. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107205 · Cited by 10
Why People Fail on the Fluid Intelligence Tests
Chuderski, A. (2015) · Journal of Individual Differences · doi:10.1027/1614-0001/a000164 · Cited by 9
Finkenzeller, T., Doppelmayr, M. M., Würth, S., & Amesberger, G. (2018) · European Journal of Applied Physiology · doi:10.1007/s00421-018-3977-x · Cited by 9
Samrani, G., & Persson, J. (2020) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2020.1713982 · Cited by 9
Hilbert, S., Schwaighofer, M., Zech, A., Sarubin, N., Arendasy, M. E., & Bühner, M. (2017) · Intelligence · doi:10.1016/j.intell.2017.01.010 · Cited by 9
ERPs evidence for the relationship between fluid intelligence and cognitive control
Lu, D., Zhang, H., Kang, C., & Guo, T. (2016) · Neuroreport · doi:10.1097/wnr.0000000000000547 · Cited by 8
Gillam, R. B., Serang, S., Montgomery, J. W., & Evans, J. L. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.724356 · Cited by 8
Martini, M., Furtner, M. R., Maran, T. K., & Sachse, P. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00104 · Cited by 7
Neurauter, M., Pinggera, J., Martini, M., Burattin, A., Furtner, M. R., Sachse, P., & Weber, B. (2015) · Lecture notes in information systems and organisation · doi:10.1007/978-3-319-18702-0_14 · Cited by 7
Perfetti, B., Varanese, S., Mancino, E., Mercuri, P., Tesse, M., Franciotti, R., Bonanni, L., Thomas, A., & ONOFRJ, M. C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.02.020 · Cited by 8
Overwriting and intrusion in short-term memory
Bancroft, T. D., Jones, J. A., Ensor, T. M., Hockley, W. E., & Servos, P. (2015) · Memory & Cognition · doi:10.3758/s13421-015-0570-y · Cited by 7
Jankowska, A. M., Bogdanowicz, M., & Shaw, S. R. (2012) · Acta Neuropsychologica · doi:10.5604/17307503.1008248 · Cited by 13
Discovering the shared biology of cognitive traits determined by genetic overlap
Guimaraes, J., Bralten, J., Greven, C. U., Franke, B., Sprooten, E., & Beckmann, C. F. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116409 · Cited by 7
Is short-term memory capacity (7±2) really predicted by theta to gamma cycle length ratio?
Malenínská, K., Rudolfová, V., Šulcová, K., Koudelka, V., Brunovský, M., Horáček, J., & Nekovářová, T. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113465 · Cited by 7
Working Memory and Intelligence
Conway, A. R. A., & Kovacs, K. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108770422.022 · Cited by 6
Self-citationFAST: A Novel, Executive Function-Based Approach to Cognitive Enhancement
Almquist, J. N.-F., Mathan, S. A., Brem, A., Plessow, F., McKanna, J. A., Santarnecchi, E., Pascual‐Leone, Á., Kadosh, R. C., Pavel, M., & Yeung, N. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00235 · Cited by 8
Examination of the temporal-spatial dynamics of working memory training-induced neuroplasticity
Kulkarni, M., & Covey, T. J. (2022) · Brain Research · doi:10.1016/j.brainres.2022.148135 · Cited by 5
Malik-Moraleda, S., Cucu, T., Lipkin, B., & Fedorenko, E. G. (2021) · Neurobiology of Language · doi:10.1162/nol_a_00058 · Cited by 7
Minamoto, T., Tsubomi, H., & Osaka, N. (2017) · Current Directions in Psychological Science · doi:10.1177/0963721417698800 · Cited by 6
Trial-Level and Contiguous Syntactic Adaptation: A Common Domain-General Mechanism at Play?
Kuz, V., Cai, F., Chen, K., Chen, J., Qi, X., Veall, C., Zheng, Y., Xu, Z., & Santi, A. (2024) · Languages · doi:10.3390/languages9030073 · Cited by 5
Stanovich, K. E., Toplak, M. E., & West, R. F. (2019) · Cambridge University Press eBooks · doi:10.1017/9781108770422.047 · Cited by 5
Intelligenzdiagnostik der Zukunft
Frischkorn, G. T., Hilger, K., Kretzschmar, A., & Schubert, A. (2022) · Psychologische Rundschau · doi:10.1026/0033-3042/a000598 · Cited by 6
Stuck on the Last: The Last-Presented Benefit as an Index of Attentional Refreshing in Adolescents
Valentini, B., & Vergauwe, E. (2022) · Journal of Intelligence · doi:10.3390/jintelligence11010004 · Cited by 5
Loosli, S. V., Bormann, T., Mader, I., Martin, M., Schumacher, L. V., Katzev, M., Weiller, C., & Kaller, C. P. (2019) · Cortex · doi:10.1016/j.cortex.2019.03.025 · Cited by 4
Ørskov, P. T., Norup, A., Debrabant, B., & Beatty, E. L. (2020) · Journal of Cognitive Enhancement · doi:10.1007/s41465-020-00191-3 · Cited by 4
Barazandeh, M., Beshārat, M. A., & Moghadamzadeh, A. (2020) · Sexual & Relationship Therapy · doi:10.1080/14681994.2020.1830964 · Cited by 4
Functional Brain Imaging of Intelligence
Basten, U., & Fiebach, C. J. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108635462.016 · Cited by 6
Cravet, E., & Ger, E. (2025) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2025.106354 · Cited by 5
Paul, S. E., Elsayed, N., Colbert, S. M. C., Bogdan, R., Hatoum, A. S., & Barch, D. M. (2024) · Development and Psychopathology · doi:10.1017/s0954579424001573 · Cited by 3
Deficits of proactive control in individuals with test anxiety: Evidence from ERPs
Wang, L., & Zhou, R. (2025) · Biological Psychology · doi:10.1016/j.biopsycho.2025.108985 · Cited by 3
Held, J. D., & Carretta, T. R. (2013) · Cited by 3
No Spearman’s Law of Diminishing Returns for the working memory and intelligence relationship
Kroczek, B., Ociepka, M., & Chuderski, A. (2016) · Polish Psychological Bulletin · doi:10.1515/ppb-2016-0008 · Cited by 3
Working Memory and Intelligence
Nash Unsworth, A., & Redick, T. S. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21041-9 · Cited by 4
Zając-Lamparska, L. (2021) · Roczniki Psychologiczne · doi:10.18290/rpsych21242-3s · Cited by 3
Interference from object part relations in spoken word production: Behavioural and fMRI evidence
Vieth, H. E., McMahon, K. L., Cunnington, R., & de Zubicaray, G. I. (2015) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2015.05.002 · Cited by 3
Inhibitory Control and Higher Cognitive Functions
Wang, J., & Tian-Yong, C. H. E. N. (2013) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2012.01768 · Cited by 3
Taing, A. S., Mundy, M. E., Ponsford, J. L., & Spitz, G. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102777 · Cited by 4
Selective effects of exercise on reactive and proactive inhibition in Parkinson’s disease
Wang, Z., Pi, Y., Wu, Y., Wei, J., Li, Y., Zhang, J., & Wang, Z. (2022) · PeerJ · doi:10.7717/peerj.13628 · Cited by 4
Butz, K. H. G., Mueller, S. M., Spille, J. L., Martin, S., & Grunwald, M. (2022) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2022.12.004 · Cited by 4
Park, D. C., & Smith, E. T. (2022) · Medical Research Archives · doi:10.18103/mra.v10i10.3192 · Cited by 3
Paul, S. E., Elsayed, N. M., Bogdan, R., Colbert, S. M. C., Hatoum, A. S., & Barch, D. M. (2021) · medRxiv · doi:10.1101/2021.08.26.21262684 · Cited by 3
N-back task revisited: Comparing the neural correlates of updating and interference control
Hidalgo‐Lopez, E., Noachtar, I. A., & Pletzer, B. A. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.1025 · Cited by 3
Nador, J., Harel, A., Juvina, I., & Minnery, B. S. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01566 · Cited by 3
Hubbard, N. A., Weaver, T. P., Turner, M. P., & Bart Rypma, A. (2018) · Memory · doi:10.1080/09658211.2018.1428349 · Cited by 2
Assem, M., Blank, I., Mineroff, Z., Ademoglu, A., & Fedorenko, E. G. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/110270 · Cited by 3
Brain Functional Correlates of Intelligence Score in ADHD Based on EEG
Rostami, M., Faridi, F., & Khosrowabadi, R. (2021) · Basic and Clinical Neuroscience Journal · doi:10.32598/bcn.2021.1904.1 · Cited by 1
Are Memory Updating Tasks Valid Working Memory Measures? A Meta-Analysis
Wang, C., Wang, J., Zeng, X., Yu, N. X., & Chen, T. (2025) · Lifespan development and mental health. · doi:10.70322/ldmh.2025.10003 · Cited by 1
Haller, M., Nyarady, H., & Covey, T. J. (2025) · Brain and Cognition · doi:10.1016/j.bandc.2025.106302 · Cited by 1
Campo, F. F., Carlomagno, F., Vuust, P., Haumann, N. T., Bonetti, L., Grube, M., & Brattico, E. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115884 · Cited by 1
Wang, L., Ou, Y., & Zhou, R. (2025) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2025.113283 · Cited by 1
Kijamet, D., Wollschläger, R., Keller, U., & Ugen, S. (2025) · Journal of Intelligence · doi:10.3390/jintelligence13110139 · Cited by 1
He, H. T., Leng, B., Shi, J., Zhang, X., Li, T., & Zhang, X. (2025) · Consciousness and Cognition · doi:10.1016/j.concog.2025.103957 · Cited by 1
Alhwaiti, M. (2026) · Applied Neuropsychology Adult · doi:10.1080/23279095.2026.2626517 · Cited by 1
León-Correa, E., Ruhnau, P., Balani, A. B., Qureshi, A., Tse, D., & Makris, S. (2026) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-026-01408-2 · Cited by 1
Working Memory and Causal Reasoning under Ambiguity
Shou, Y., & Smithson, M. J. (2014) · eScholarship (California Digital Library) · doi:10.13140/2.1.2402.7525 · Cited by 1
Using Brain Stimulation to Enhance Working Memory: A Charged Topic
Trumbo, M. (2016) · UNM’s Digital Repository (University of New Mexico) · Cited by 1
Far Transfer and Cognitive Training: Examination of Two Hypotheses on Mechanisms
Greenwood, P. M. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108552684.041 · Cited by 1
Development of Intelligence in the Context of Digital Media Use
Lindenberg, K., & Basten, U. (2022) · Springer eBooks · doi:10.1007/978-3-031-04198-3_9 · Cited by 1
Makowski, L. M., Rammsayer, T. H., Tadin, D., Thomas, P., & Troche, S. J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0274809 · Cited by 1
del Moral, R. C., Castro, M. L., & Luque, S. M. A. (2021) · Revista Española de Educación Física y Deportes · doi:10.55166/reefd.vi431.943 · Cited by 1
Rajesh, A., Noice, T., Noice, H., Jahn, A., Daugherty, A. M., Heller, W., & Kramer, A. F. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.583220 · Cited by 2
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
