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
High-speed scanning in human memory
Sternberg, S. (1966) · Science · doi:10.1126/science.153.3736.652 · Cited by 3,576
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560
Forman, S. D., Cohen, J. D., Fitzgerald, M., Eddy, W. F., Mintun, M. A., & Noll, D. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330508 · Cited by 3,202
Working memory, short-term memory, and general fluid intelligence: A latent-variable approach.
Engle, R. W., Tuholski, S. W., Laughlin, J. E., & Conway, A. R. A. (1999) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.128.3.309 · Cited by 3,078
Self-citationWorking memory span tasks: A methodological review and user’s guide
Conway, A. R. A., Kane, M. J., Bunting, M. F., Hambrick, D. Z., Wilhelm, O., & Engle, R. W. (2005) · Psychonomic Bulletin & Review · doi:10.3758/bf03196772 · Cited by 2,882
Self-citationCohen, J., MacWhinney, B., Flatt, M., & Provost, J. (1993) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03204507 · Cited by 2,802
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Boynton, G., Engel, S., Glover, G., & Heeger, D. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04207.1996 · Cited by 2,522
Working Memory, Thought, and Action
Baddeley, A. (2007) · doi:10.1093/acprof:oso/9780198528012.001.0001 · Cited by 2,432
Kane, M. J., & Engle, R. W. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196323 · Cited by 2,229
Cohen, J. D., Dunbar, K. N., & McClelland, J. L. (1990) · Psychological Review · doi:10.1037/0033-295x.97.3.332 · Cited by 2,192
Improving fluid intelligence with training on working memory
Jaeggi, S. M., Buschkuehl, M., Jonides, J., & Perrig, W. J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801268105 · Cited by 2,187
Neuroimaging studies of working memory:
Wager, T. D., & Smith, E. E. (2003) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.3.4.255 · Cited by 1,889
Abilities: Their Structure, Growth, and Action
Jensen, A. R., & Cattell, R. B. (1974) · The American Journal of Psychology · doi:10.2307/1422024 · Cited by 1,881
Reasoning ability is (little more than) working-memory capacity?!
Kyllonen, P. C., & Christal, R. E. (1990) · Intelligence · doi:10.1016/s0160-2896(05)80012-1 · Cited by 1,810
Principles of Frontal Lobe Function
Stuss, D. T. (2002) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195134971.001.0001 · Cited by 1,731
Automated Image Registration: I. General Methods and Intrasubject, Intramodality Validation
Woods, R. P., Grafton, S. T., Holmes, C. J., Cherry, S. R., & Mazziotta, J. C. (1998) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199801000-00027 · Cited by 1,707
A Parametric Study of Prefrontal Cortex Involvement in Human Working Memory
Braver, T. S., Cohen, J. D., Nystrom, L. E., Jonides, J., Smith, E. E., & Noll, D. C. (1997) · NeuroImage · doi:10.1006/nimg.1996.0247 · Cited by 1,694
Self-citationKane, M. J., Hambrick, D. Z., Tuholski, S. W., Wilhelm, O., Payne, T. W., & Engle, R. W. (2004) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.133.2.189 · Cited by 1,679
The Cognitive Neuroscience of Working Memory
D'Esposito, M., & Postle, B. R. (2015) · Annual Review of Psychology · doi:10.1146/annurev-psych-010814-015031 · Cited by 1,653
The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence
Jung, R. E., & Haier, R. J. (2007) · Behavioral and Brain Sciences · doi:10.1017/s0140525x07001185 · Cited by 1,651
The neural bases of momentary lapses in attention
Weissman, D. H., Roberts, K. C., Visscher, K. M., & Woldorff, M. G. (2006) · Nature Neuroscience · doi:10.1038/nn1727 · Cited by 1,566
(2008) · doi:10.1093/acprof:oso/9780195168648.001.0001 · Cited by 1,529
Green, P. E., & Carroll, J. D. (1978) · Medical Entomology and Zoology · Cited by 1,517
Why g matters: The complexity of everyday life
Gottfredson, L. S. (1997) · Intelligence · doi:10.1016/s0160-2896(97)90014-3 · Cited by 1,408
An information theoretical approach to prefrontal executive function
Koechlin, E., & Summerfield, C. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.04.005 · Cited by 1,183
Conway, A. R. A., Cowan, N., Bunting, M. F., Therriault, D. J., & Minkoff, S. R. B. (2002) · Intelligence · doi:10.1016/s0160-2896(01)00096-4 · Cited by 1,108
Self-citationVerbal working memory and sentence comprehension
Caplan, D. N., & Waters, G. S. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99001788 · Cited by 1,097
Neural mechanisms of general fluid intelligence
Gray, J. R., Chabris, C. F., & Braver, T. S. (2003) · Nature Neuroscience · doi:10.1038/nn1014 · Cited by 1,080
Self-citationA Neural Basis for General Intelligence
Duncan, J., Seitz, R. J., Kolodny, J., Bor, D., Herzog, H. R., Ahmed, A., Newell, F. N., & Emslie, H. C. (2000) · Science · doi:10.1126/science.289.5478.457 · Cited by 1,043
Testing Predictions From Personality Neuroscience: Brain Structure and the Big Five
DeYoung, C. G., Hirsh, J. B., Shane, M. S., Papademetris, X., Rajeevan, N., & Gray, J. R. (2010) · Psychological Science · doi:10.1177/0956797610370159 · Cited by 995
Self-citationPrefrontal cortex and basal ganglia control access to working memory
McNab, F., & Klingberg, T. (2008) · Nature Neuroscience · doi:10.1038/nn2024 · Cited by 989
Working memory, attention control, and the N-back task: a question of construct validity
Kane, M. J., Conway, A. R. A., Miura, T. K., & Colflesh, G. J. H. (2007) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/0278-7393.33.3.615 · Cited by 933 · cited 1×
“…fMRI scanning, participants engaged in a 3-back version of the n-back task, an extensively used paradigm in the neuroimaging literature (see Owen et al., 2005, for a meta-analysis of n-back neuroimaging studies) typically assumed to reflect WM and/or executive function (but see Kane et al., 2007).”
Self-citationExplaining the Many Varieties of Working Memory Variation: Dual Mechanisms of Cognitive Control
Braver, T. S., Gray, J. R., & Burgess, G. C. (2008) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195168648.003.0004 · Cited by 886
Self-citationNeural mechanisms of transient and sustained cognitive control during task switching.
Braver, T. S., Reynolds, J. R., & Donaldson, D. I. (2003) · Neuron · doi:10.1016/s0896-6273(03)00466-5 · Cited by 826
Self-citationKelley, W. M., Miezin, F. M., McDermott, K. B., Buckner, R. L., Raichle, M. E., Cohen, N. J., Ollinger, J. M., Akbudak, E., Conturo, T. E., Snyder, A. Z., et al. (1998) · Neuron · doi:10.1016/s0896-6273(00)80474-2 · Cited by 823
Interference resolution: Insights from a meta-analysis of neuroimaging tasks
NEE, D. E., WAGER, T. D., & JONIDES, J. (2007) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.7.1.1 · Cited by 798
Functional Specialization within Rostral Prefrontal Cortex (Area 10): A Meta-analysis
Gilbert, S. J., Spengler, S., Simons, J. S., Steele, J. D., Lawrie, S. M., Frith, C., & Burgess, P. W. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.6.932 · Cited by 701
Haier, R. J., Siegel, B. V., Nuechterlein, K. H., Hazlett, E. A., Wu, J. C., Paek, J., Browning, H. L., & Buchsbaum, M. S. (1988) · Intelligence · doi:10.1016/0160-2896(88)90016-5 · Cited by 694
Ackerman, P. L. (1987) · Psychological Bulletin · doi:10.1037/0033-2909.102.1.3 · Cited by 688
Working-memory capacity explains reasoning ability—and a little bit more
Süß, H., Oberauer, K., Wittmann, W. W., Wilhelm, O., & Schulze, R. (2002) · Intelligence · doi:10.1016/s0160-2896(01)00100-3 · Cited by 638
Badre, D., & D'Esposito, M. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.12.2082 · Cited by 615
Structural brain variation and general intelligence
Haier, R. J., Jung, R. E., Yeo, R. A., Head, K., & Alkire, M. T. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.04.025 · Cited by 564
Inhibition in verbal working memory revealed by brain activation
Jonides, J., Smith, E. E., Marshuetz, C., Koeppe, R. A., & Reuter‐Lorenz, P. A. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.14.8410 · Cited by 546
Prefrontal regions involved in keeping information in and out of mind
Bunge, S. A. (2001) · Brain · doi:10.1093/brain/124.10.2074 · Cited by 544
Prabhakaran, V., Smith, J. A., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. E. (1997) · Cognitive Psychology · doi:10.1006/cogp.1997.0659 · Cited by 509
Working memory span and the role of proactive interference.
Lustig, C., May, C. P., & Hasher, L. (2001) · Journal of Experimental Psychology General · doi:10.1037//0096-3445.130.2.199 · Cited by 500
Brain mechanisms of proactive interference in working memory
Jonides, J., & Nee, D. E. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.06.042 · Cited by 472
Salthouse, T. A. (1994) · Neuropsychology · doi:10.1037/0894-4105.8.4.535 · Cited by 455
Shamosh, N. A., DeYoung, C. G., Green, A. E., Reis, D. L., Johnson, M. R., Conway, A. R. A., Engle, R. W., Braver, T. S., & Gray, J. R. (2008) · Psychological Science · doi:10.1111/j.1467-9280.2008.02175.x · Cited by 452
Self-citationWorking memory is (almost) perfectly predicted by g.
COLOM, R. (2004) · Intelligence · doi:10.1016/j.intell.2003.12.002 · Cited by 436
Prefrontal cortex and flexible cognitive control: Rules without symbols
Rougier, N. P., Noelle, D. C., Braver, T. S., Cohen, J. D., & O’Reilly, R. C. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502455102 · Cited by 414
Self-citationIntelligence and changes in regional cerebral glucose metabolic rate following learning
Haier, R. J., Siegel, B., Tang, C., Abel, L., & Buchsbaum, M. S. (1992) · Intelligence · doi:10.1016/0160-2896(92)90018-m · Cited by 395
Banishing the homunculus: Making working memory work
Hazy, T. E., Frank, M. J., & O’Reilly, R. C. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2005.04.067 · Cited by 385
The role of interference in memory span
May, C. P., Hasher, L., & Kane, M. J. (1999) · Memory & Cognition · doi:10.3758/bf03198529 · Cited by 376
Mechanism for top-down control of working memory capacity
Edin, F., Klingberg, T., Johansson, P., McNab, F., Tegnér, J., & Compte, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901894106 · Cited by 365
D’Esposito, M., Postle, B. R., Jonides, J., & Smith, E. E. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.13.7514 · Cited by 329
Ackerman, P. L., Beier, M. E., & Boyle, M. D. (2002) · Journal of Experimental Psychology General · doi:10.1037/0096-3445.131.4.567 · Cited by 327
Quantification of Brain Function Using PET
(1996) · Elsevier eBooks · doi:10.1016/b978-0-12-389760-2.x5000-2 · Cited by 322
Yarkoni, T., Barch, D. M., Gray, J. R., Conturo, T. E., & Braver, T. S. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004257 · Cited by 312
Self-citationDirect Comparison of Prefrontal Cortex Regions Engaged by Working and Long-Term Memory Tasks
Braver, T. S., Barch, D. M., Kelley, W. M., Buckner, R. L., Cohen, N. J., Miezin, F. M., Snyder, A. Z., Ollinger, J. M., Akbudak, E., Conturo, T. E., et al. (2001) · NeuroImage · doi:10.1006/nimg.2001.0791 · Cited by 311
Self-citationNeural correlates of superior intelligence: Stronger recruitment of posterior parietal cortex
Lee, K. H., Choi, Y. Y., Gray, J. R., Cho, S. H., Chae, J., Lee, S., & Kim, K. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.07.036 · Cited by 306
Self-citationEffects of frontal lobe damage on interference effects in working memory
Thompson‐Schill, S. L., Jonides, J. J., Marshuetz, C. S., SMITH, E. E., D’Esposito, M., Kan, I. P., Knight, R. T., & Diane Swick, A. (2002) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.2.2.109 · Cited by 291
The Measurement of Verbal Working Memory Capacity and Its Relation to Reading Comprehension
Waters, G. S., & Caplan, D. N. (1996) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/713755607 · Cited by 280
The reliability and stability of verbal working memory measures
Waters, G. S., & Caplan, D. N. (2003) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03195534 · Cited by 277
Mixed blocked/event-related designs separate transient and sustained activity in fMRI
Visscher, K. M., Miezin, F. M., Kelly, J. E., Buckner, R., Donaldson, D., McAvoy, M. P., Bhalodia, V. M., & Petersen, S. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00178-2 · Cited by 273
The Measurement of Verbal Working Memory Capacity and Its Relation to Reading Comprehension
Waters, G. S., & Caplan, D. N. (1996) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/027249896392801 · Cited by 272
The What and How of prefrontal cortical organization
O’Reilly, R. C. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.05.002 · Cited by 271
Jonides, J., Marshuetz, C. S., Smith, E. E., Reuter‐Lorenz, P. A., Koeppe, R. A., & Hartley, A. A. (2000) · Journal of Cognitive Neuroscience · doi:10.1162/089892900561823 · Cited by 262
Intellect as distinct from openness: Differences revealed by fMRI of working memory.
DeYoung, C. G., Shamosh, N. A., Green, A. E., Braver, T. S., & Gray, J. R. (2009) · Journal of Personality and Social Psychology · doi:10.1037/a0016615 · Cited by 261
Self-citationChanges in cortical activity after training of working memory — a single-subject analysis
Westerberg, H., & Klingberg, T. (2007) · Physiology & Behavior · doi:10.1016/j.physbeh.2007.05.041 · Cited by 259
Osaka, N., Osaka, M., Kondo, H. M., Morishita, M., Fukuyama, H., & Shibasaki, H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.069 · Cited by 250
A resource model of the neural basis of executive working memory
Bunge, S. A., Klingberg, T., Jacobsen, R. B., & Gabrieli, J. D. E. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.7.3573 · Cited by 243
Dissociating State and Item Components of Recognition Memory Using fMRI
Donaldson, D. I., Petersen, S. E., Ollinger, J. M., & Buckner, R. L. (2001) · NeuroImage · doi:10.1006/nimg.2000.0664 · Cited by 237
The neural basis of individual differences in working memory capacity: an fMRI study
Osaka, M., Osaka, N., Kondo, H. M., Morishita, M., Fukuyama, H., Aso, T., & Shibasaki, H. (2003) · NeuroImage · doi:10.1016/s1053-8119(02)00032-0 · Cited by 235
Frontal Lobe Mechanisms that Resolve Proactive Interference
Badre, D., & Wagner, A. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi075 · Cited by 233
FALES, C. L., BARCH, D. M., BURGESS, G. C., SCHAEFER, A., MENNIN, D. S., GRAY, J. R., & BRAVER, T. S. (2008) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.8.3.239 · Cited by 227
Self-citationDomain-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 202
Self-citationThe neural basis of task-switching in working memory: effects of performance and aging.
Smith, E. E., Geva, A., Jonides, J., Miller, A., Reuter-Lorenz, P., & Koeppe, R. A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.4.2095 · Cited by 200 · cited 1×
“Bunge, Klingberg , Jacobsen, and Gabrieli (2000) and Smith et al. (2001) found increased lateral PFC and parietal activation in dual-task WM tasks (analogous to complex span tasks).”
Functional roles of the cingulo-frontal network in performance on working memory
Kondo, H. M., Morishita, M., Osaka, N., Osaka, M., Fukuyama, H., & Shibasaki, H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.046 · Cited by 195
Nelson, J. K., Reuter-Lorenz, P. A., Sylvester, C.-Y. C., Jonides, J., & Smith, E. E. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1334125100 · Cited by 188
Neubauer, A. C., Grabner, R. H., Fink, A., & Neuper, C. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.05.011 · Cited by 180
Dissociations among tasks involving inhibition: A single-case study
Hamilton, A. C., & Martin, R. C. (2005) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.5.1.1 · Cited by 175
Fluid reasoning and the developing brain
Ferrer, E. E. (2009) · Frontiers in Neuroscience · doi:10.3389/neuro.01.003.2009 · Cited by 170
Neural correlates of intelligence as revealed by fMRI of fluid analogies
Geake, J. G., & Hansen, P. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.035 · Cited by 170
Burgess, G. C., & Braver, T. S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012861 · Cited by 169
Self-citationProcessing and storage in working memory span
Duff, S. C., & Logie, R. H. (2001) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/02724980042000011 · Cited by 168
Intelligence and neural efficiency
Neubauer, A. C., Fink, A., & Schrausser, D. G. (2002) · Intelligence · doi:10.1016/s0160-2896(02)00091-0 · Cited by 157
A HIERARCHY WITHOUT A GENERAL FACTOR 1
Thomson, G. H. (1916) · British Journal of Psychology 1904-1920 · doi:10.1111/j.2044-8295.1916.tb00133.x · Cited by 150
Neubauer, A. C., & Fink, A. (2008) · Intelligence · doi:10.1016/j.intell.2008.10.008 · Cited by 140
Working memory and intelligence
Colom, R., Flores-Mendoza, C. E., & Rebollo, I. (2003) · Personality and Individual Differences · doi:10.1016/s0191-8869(02)00023-5 · Cited by 138
General intelligence and memory span: Evidence for a common neuroanatomic framework
Colom, R., Jung, R. E., & Haier, R. J. (2007) · Cognitive Neuropsychology · doi:10.1080/02643290701781557 · Cited by 136
Variation in orbitofrontal cortex volume: relation to sex, emotion regulation and affect
Welborn, B. L., Papademetris, X., Reis, D. L., Rajeevan, N., Bloise, S. M., & Gray, J. R. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp028 · Cited by 131
Self-citationDifference Image vs Ratio Image Error Function Forms in PET—PET Realignment
Snyder, A. Z. (1996) · Elsevier eBooks · doi:10.1016/b978-012389760-2/50028-1 · Cited by 130
Individual differences in susceptibility to interference and general cognitive ability
Dempster, F. N., & Corkill, A. J. (1999) · Acta Psychologica · doi:10.1016/s0001-6918(99)00013-x · Cited by 128
Intelligence and individual differences in becoming neurally efficient
Neubauer, A. C., Grabner, R. H., Freudenthaler, H. H., Beckmann, J. F., & Guthke, J. (2004) · Acta Psychologica · doi:10.1016/j.actpsy.2003.11.005 · Cited by 123
Fluid intelligence and neural efficiency: effects of task complexity and sex
Neubauer, A. C., & Fink, A. (2002) · Personality and Individual Differences · doi:10.1016/s0191-8869(02)00285-4 · Cited by 119
Braver, T. S., Cohen, J. D., & Barch, D. M. (2002) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195134971.003.0027 · Cited by 118
Self-citationImproving intelligence: a literature review
Buschkuehl, M., & Jaeggi, S. (2010) · Swiss Medical Weekly · doi:10.4414/smw.2010.12852 · Cited by 109
Mecklinger, A., Weber, K., Gunter, T. C., & Engle, R. W. (2003) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2003.08.008 · Cited by 103
Bart Rypma, A., & Prabhakaran, V. (2009) · Intelligence · doi:10.1016/j.intell.2008.12.004 · Cited by 99
Schmithorst, V. J., & Holland, S. K. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.010 · Cited by 99
Verbal and Spatial Short-Term Memory: Common Sources of Developmental Change?
Chuah, L. Y. M., & Maybery, M. T. (1999) · Journal of Experimental Child Psychology · doi:10.1006/jecp.1999.2493 · Cited by 90
Neural bases of focusing attention in working memory: An fMRI study based on group differences
Osaka, M., KOMORI, M., MORISHITA, M., & Osaka, N. (2007) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.7.2.130 · Cited by 89
The Holey Grail of General Intelligence
Sternberg, R. J. (2000) · Science · doi:10.1126/science.289.5478.399 · Cited by 62
Minamoto, T., Osaka, M., & Osaka, N. (2010) · Brain Research · doi:10.1016/j.brainres.2010.03.088 · Cited by 52
Finding the g-factor in brain structure using the method of correlated vectors
Colom, R., Jung, R. E., & Haier, R. J. (2006) · Intelligence · doi:10.1016/j.intell.2006.03.006 · Cited by 51
Waiter, G. D., Deary, I. J., Staff, R. T., Murray, A. D., Fox, H. C., Starr, J. M., & Whalley, L. J. (2008) · Intelligence · doi:10.1016/j.intell.2008.09.008 · Cited by 35
Separating processing from storage in working memory operation span
Logie, R. H., & Duff, S. C. (2007) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198570394.003.0007 · Cited by 20
The role of processing difficulty in the predictive utility of working memory span
Bunting, M. F. (2006) · Psychonomic Bulletin & Review · doi:10.3758/bf03213915 · Cited by 15
Editor of: The Cognitive Neuroscience of Working Memory
Osaka, N., Logie, R. H., & D’Esposito, M. (2007) · Cited by 5
Flagged first, then by citations
Cited by
Sorted by citations
Function in the human connectome: task-fMRI and individual differences in behavior
Barch, D. M., Burgess, G. C., Harms, M. P., Petersen, S. E., Schlaggar, B. L., Corbetta, M., Glasser, M. F., Curtiss, S., Dixit, S., Feldt, C., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.033 · Cited by 1,529
Self-citationImproving fluid intelligence with training on working memory: a meta-analysis
Au, J., Sheehan, E., Tsai, N., Duncan, G. J., Buschkuehl, M., & Jaeggi, S. M. (2015) · Psychonomic Bulletin & Review · doi:10.3758/s13423-014-0699-x · Cited by 727
Redick, T. S., Shipstead, Z., Harrison, T. L., Hicks, K. L., Fried, D. E., Hambrick, D. Z., Kane, M. J., & Engle, R. W. (2013) · Journal of Experimental Psychology: General · doi:10.1037/a0029082 · Cited by 617
Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole, M. W., Yarkoni, T., Repovs, G., Anticevic, A., & Braver, T. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0536-12.2012 · Cited by 613
Self-citationBeaty, R. E., & Silvia, P. J. (2012) · Psychology of Aesthetics, Creativity, and the Arts · doi:10.1037/a0029171 · Cited by 551
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