Dissociable mechanisms underlying individual differences in visual working memory capacity

NeuroImage

Volumn 99, Issue , 2014, Pages 197-206

  Gulbinaite, Rasa ^a   Johnson, Addie ^a   de Jong, Ritske ^a   Morey, Candice C ^a   van Rijn, Hedderik ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALPHA RHYTHM; ARTICLE; ATTENTION; ATTENTIONAL BIAS; ATTENTIONAL CONTROL; COMPARATIVE STUDY; CONTROLLED STUDY; EVOKED VISUAL RESPONSE; FEMALE; FRONTAL COGNITIVE CONTROL NETWORK; FUNCTIONAL DISSOCIATION; HUMAN; HUMAN EXPERIMENT; INDIVIDUALITY; MALE; MEASUREMENT ACCURACY; NERVE CELL NETWORK; NEUROMODULATION; NORMAL HUMAN; PRIORITY JOURNAL; REACTION TIME; RESPONSE TIME; SENSITIVITY ANALYSIS; STEADY STATE VISUAL EVOKED POTENTIAL; TASK PERFORMANCE; THETA RHYTHM; TIME SERIES ANALYSIS; VISUAL MEMORY; VISUAL STIMULATION; WORKING MEMORY; WORKING MEMORY CAPACITY; CONFLICT; ELECTROENCEPHALOGRAPHY; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; SHORT TERM MEMORY; VISION; YOUNG ADULT;

ATTENTION; CONFLICT (PSYCHOLOGY); ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; INDIVIDUALITY; MALE; MEMORY, SHORT-TERM; PSYCHOMOTOR PERFORMANCE; REACTION TIME; THETA RHYTHM; VISUAL PERCEPTION; YOUNG ADULT;

EID: 84903538761     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.05.060     Document Type: Article

References (80)

1. Ahmed L., de Fockert J.W. Focusing on attention: the effects of working memory capacity and load on selective attention. PLoS ONE 2012, 7:e43101.
2. Andersen S.K., Muller M.M. Behavioral performance follows the time course of neural facilitation and suppression during cued shifts of feature-selective attention. Proc. Natl. Acad. Sci. U. S. A. 2010, 107:13878-13882.
3. Baayen R.H., Davidson D.J., Bates D.M. Mixed-effects modeling with crossed random effects for subjects and items. J. Mem. Lang. 2008, 59:390-412.
4. Bates D., Maechler M., Bolker B., Walker S., Christensen R.H.B., Singmann H. lme4: linear mixed-effects models using Eigen and S4 2014.
5. Brainard D.H. The Psychophysics Toolbox. Spat. Vis. 1997, 10:433-436.
6. Brumback C.R., Low K.A., Gratton G., Fabiani M. Sensory ERPs predict differences in working memory span and fluid intelligence. Neuroreport 2004, 15:373-376.
7. Buschkuehl M., Jaeggi S.M., Jonides J. Neuronal effects following working memory training. Dev. Cogn. Neurosci. 2012, 2(Suppl. 1):S167-S179.
8. Cavanagh J.F., Cohen M.X., Allen J.J. Prelude to and resolution of an error: EEG phase synchrony reveals cognitive control dynamics during action monitoring. J. Neurosci. 2009, 29:98-105.
9. Cavanagh J.F., Zambrano-Vazquez L., Allen J.J. Theta lingua franca: a common mid-frontal substrate for action monitoring processes. Psychophysiology 2012, 49:220-238.
10. Cohen M.X. Analyzing Neural Time Series Data: Theory and Practice 2014, MIT Press, Cambridge, MA.
11. Cohen M.X., Cavanagh J.F. Single-trial regression elucidates the role of prefrontal theta oscillations in response conflict. Front. Psychol. 2011, 2:30.
12. Cohen M.X., Donner T.H. Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior. J. Neurophysiol. 2013, 110:2752-2763.
13. Cohen M.X., Ridderinkhof K.R. EEG source reconstruction reveals frontal-parietal dynamics of spatial conflict processing. PLoS ONE 2013, 8:e57293.
14. Cohen M.X., van Gaal S. Subthreshold muscle twitches dissociate oscillatory neural signatures of conflicts from errors. NeuroImage 2014, 86:503-513.
15. Cole M.W., Yarkoni T., Repovs G., Anticevic A., Braver T.S. Global connectivity of prefrontal cortex predicts cognitive control and intelligence. J. Neurosci. 2012, 32:8988-8999.
16. Conway A.R., Cowan N., Bunting M.F. The cocktail party phenomenon revisited: the importance of working memory capacity. Psychon. Bull. Rev. 2001, 8:331-335.
17. Conway A.R., Kane M.J., Bunting M.F., Hambrick D.Z., Wilhelm O., Engle R.W. Working memory span tasks: a methodological review and user's guide. Psychon. Bull. Rev. 2005, 12:769-786.
18. Corbetta M., Shulman G.L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 2002, 3:201-215.
19. Couperus J.W., Mangun G.R. Signal enhancement and suppression during visual-spatial selective attention. Brain Res. 2012, 1359:155-177.
20. Cowan N., Elliott E.M., Scott Saults J., Morey C.C., Mattox S., Hismjatullina A., Conway A.R. On the capacity of attention: its estimation and its role in working memory and cognitive aptitudes. Cogn. Psychol. 2005, 51:42-100.
21. Doppelmayr M., Klimesch W., Hodlmoser K., Sauseng P., Gruber W. Intelligence related upper alpha desynchronization in a semantic memory task. Brain Res. Bull. 2005, 66:171-177.
22. Engle R.W. Role of working-memory capacity in cognitive control. Curr. Anthropol. 2010, 51:S17-S26.
23. Engle R.W., Tuholski S.W., Laughlin J.E., Conway A.R. Working memory, short-term memory, and general fluid intelligence: a latent-variable approach. J. Exp. Psychol. Gen. 1999, 128:309-331.
24. Faraco C.C., Unsworth N., Langley J., Terry D., Li K., Zhang D., Liu T., Miller L.S. Complex span tasks and hippocampal recruitment during working memory. NeuroImage 2011, 55:773-787.
25. Fassbender C., Foxe J.J., Garavan H. Mapping the functional anatomy of task preparation: priming task-appropriate brain networks. Hum. Brain Mapp. 2006, 27:819-827.
26. Faul F., Erdfelder E., Lang A.G., Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 2007, 39:175-191.
27. Fuchs S., Andersen S.K., Gruber T., Muller M.M. Attentional bias of competitive interactions in neuronal networks of early visual processing in the human brain. NeuroImage 2008, 41:1086-1101.
28. Fukuda K., Vogel E.K. Human variation in overriding attentional capture. J. Neurosci. 2009, 29:8726-8733.
29. Fukuda K., Vogel E.K. Individual differences in recovery time from attentional capture. Psychol. Sci. 2011, 22:361-368.
30. Gallistel C.R. The importance of proving the null. Psychol. Rev. 2009, 116:439-453.
31. Gazzaley A., Cooney J.W., McEvoy K., Knight R.T., D'Esposito M. Top-down enhancement and suppression of the magnitude and speed of neural activity. J. Cogn. Neurosci. 2005, 17:507-517.
32. Gazzaley A., Cooney J.W., Rissman J., D'Esposito M. Top-down suppression deficit underlies working memory impairment in normal aging. Nat. Neurosci. 2005, 8:1298-1300.
33. Gazzaley A., Clapp W., Kelley J., McEvoy K., Knight R.T., D'Esposito M. Age-related top-down suppression deficit in the early stages of cortical visual memory processing. Proc. Natl. Acad. Sci. U. S. A. 2008, 105:13122-13126.
34. Hanslmayr S., Pastotter B., Bauml K.H., Gruber S., Wimber M., Klimesch W. The electrophysiological dynamics of interference during the Stroop task. J. Cogn. Neurosci. 2008, 20:215-225.
35. Hasher L., Lustig S., Zacks R. Inhibitory mechanisms and the control of attention. Variation in Working Memory 2007, 227-249. Oxford University Press, New York. A.R. Conway, C. Jarrold, M.J. Kane, A. Miyake, N.J. Towse (Eds.).
36. Heathcote A., Popiel S.J., Mewhort D.J. Analysis of response time distributions: an example using the Stroop task. Psychol. Bull. 1991, 109:340-347.
37. Heitz R.P., Engle R.W. Focusing the spotlight: individual differences in visual attention control. J. Exp. Psychol. Gen. 2007, 136:217-240.
38. Herrmann C.S. Human EEG responses to 1-100Hz flicker: resonance phenomena in visual cortex and their potential correlation to cognitive phenomena. Exp. Brain Res. 2001, 137:346-353.
39. Hsieh L.T., Ranganath C. Frontal midline theta oscillations during working memory maintenance and episodic encoding and retrieval. NeuroImage 2014, 85(Pt 2):721-729.
40. Hutchison K.A. The interactive effects of listwide control, item-based control, and working memory capacity on Stroop performance. J. Exp. Psychol. Learn. Mem. Cogn. 2011, 37:851-860.
41. Jeffreys H. Theory of Probability 1961, Oxford University Press, Oxford. 3rd ed.
42. Kane M.J., Engle R.W. Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to Stroop interference. J. Exp. Psychol. Gen. 2003, 132:47-70.
43. Kane M.J., Hambrick D.Z., Tuholski S.W., Wilhelm O., Payne T.W., Engle R.W. The generality of working memory capacity: a latent-variable approach to verbal and visuospatial memory span and reasoning. J. Exp. Psychol. Gen. 2004, 133:189-217.
44. Kane M.J., Conway A.R.A., Hambrick D.Z., Engle R.W. Variation in working memory capacity as variation in executive attention and control. Variation in working memory 2007, 21-48. Oxford University Press, New York. A.R. Conway, C. Jarrold, M.J. Kane, A. Miyake, N.J. Towse (Eds.).
45. Keye D., Wilhelm O., Oberauer K., van Ravenzwaaij D. Individual differences in conflict-monitoring: testing means and covariance hypothesis about the Simon and the Eriksen Flanker task. Psychol. Res. 2009, 73:762-776.
46. Keye D., Wilhelm O., Oberauer K., Sturmer B. Individual differences in response conflict adaptations. Front. Psychol. 2013, 4:947.
47. Klein K., Fiss W.H. The reliability and stability of the Turner and Engle working memory task. Behav. Res. Methods Instrum. Comput. 1999, 31:429-432.
48. Klimesch W., Doppelmayr M., Russegger H., Pachinger T., Schwaiger J. Induced alpha band power changes in the human EEG and attention. Neurosci. Lett. 1998, 244:73-76.
49. Kuznetsova A., Brockhoff P.B., Christensen R.H.B. lmerTest: tests for random and fixed effects for linear mixed effect models (lmer objects of lme4 package). R-version: 2.0-6 2013.
50. Mall J.T., Morey C.C., Wolff M.J., Lehnert F. Visual selective attention is equally functional for individuals with low and high working memory capacity: evidence from accuracy and eye movements. Atten. Percept. Psychophys. 2014, (Epub ahead of print).
51. Maris E., Oostenveld R. Nonparametric statistical testing of EEG- and MEG-data. J. Neurosci. Methods 2007, 164:177-190.
52. Miller A.E., Watson J.M., Strayer D.L. Individual differences in working memory capacity predict action monitoring and the error-related negativity. J. Exp. Psychol. Learn. Mem. Cogn. 2012, 38:757-763.
53. Morey R.D., Rouder J.N. Package, BayesFactor, version 0.9.7 http://bayesfactorpcl.r-forge.r-project.org/.
54. Morey C.C., Elliott E.M., Wiggers J., Eaves S.D., Shelton J.T., Mall J.T. Goal-neglect links Stroop interference with working memory capacity. Acta Psychol. (Amst.) 2012, 141:250-260.
55. Muller M.M., Malinowski P., Gruber T., Hillyard S.A. Sustained division of the attentional spotlight. Nature 2003, 424:309-312.
56. Muller N.G., Mollenhauer M., Rosler A., Kleinschmidt A. The attentional field has a Mexican hat distribution. Vision Res. 2005, 45:1129-1137.
57. Nee D.E., Wager T.D., Jonides J. Interference resolution: insights from a meta-analysis of neuroimaging tasks. Cogn. Affect. Behav. Neurosci. 2007, 7:1-17.
58. Neubauer A.C., Fink A. Intelligence and neural efficiency. Neurosci. Biobehav. Rev. 2009, 1004-1023.
59. Niendam T.A., Laird A.R., Ray K.L., Dean Y.M., Glahn D.C., Carter C.S. Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions. Cogn. Affect. Behav. Neurosci. 2012, 12:241-268.
60. Nigbur R., Cohen M.X., Ridderinkhof K.R., Sturmer B. Theta dynamics reveal domain-specific control over stimulus and response conflict. J. Cogn. Neurosci. 2012, 24:1264-1274.
61. Pelli D.G., Robson J.G., Wilkins A.J. The design of a new letter chart for measuring contrast sensitivity. Clin. Vis. Sci. 1988, 2:187.
62. Pernet C.R., Sajda P., Rousselet G.A. Single-trial analyses: why bother?. Front. Psychol. 2011, 2:322.
63. Pinheiro J.C., Bates D.M. Mixed-effects models in S and S-PLUS 2000, Springer, New York.
64. Polk T.A., Drake R.M., Jonides J.J., Smith M.R., Smith E.E. Attention enhances the neural processing of relevant features and suppresses the processing of irrelevant features in humans: a functional magnetic resonance imaging study of the Stroop task. J. Neurosci. 2008, 28:13786-13792.
65. Roach B.J., Mathalon D.H. Event-related EEG time-frequency analysis: an overview of measures and an analysis of early gamma band phase locking in schizophrenia. Schizophr. Bull. 2008, 34:907-926.
66. Rouder J.N., Morey R.D., Speckman P.L., Province J.M. Default Bayes factors for ANOVA designs. J. Math. Psychol. 2012, 56:356-374.
67. Sauseng P., Klimesch W., Heise K.F., Gruber W.R., Holz E., Karim A.A., Glennon M., Gerloff C., Birbaumer N., Hummel F.C. Brain oscillatory substrates of visual short-term memory capacity. Curr. Biol. 2009, 19:1846-1852.
68. Scherbaum S., Fischer R., Dshemuchadse M., Goschke T. The dynamics of cognitive control: evidence for within-trial conflict adaptation from frequency-tagged EEG. Psychophysiology 2011, 48:591-600.
69. Slagter H.A. Conventional working memory training may not improve intelligence. Trends Cogn. Sci. 2012, 16:582-583.
70. Sorqvist P., Marsh J.E., Nostl A. High working memory capacity does not always attenuate distraction: Bayesian evidence in support of the null hypothesis. Psychon. Bull. Rev. 2013, 20:897-904.
71. Toffanin P., Johnson A., de Jong R., Martens S. Rethinking neural efficiency: effects of controlling for strategy use. Behav. Neurosci. 2007, 121:854-870.
72. Toffanin P., de Jong R., Johnson A., Martens S. Using frequency tagging to quantify attentional deployment in a visual divided attention task. Int. J. Psychophysiol. 2009, 72:289-298.
73. Tsuchida Y., Katayama J., Murohashi H. Working memory capacity affects the interference control of distractors at auditory gating. Neurosci. Lett. 2012, 516:62-66.
74. Unsworth N., Schrock J.C., Engle R.W. Working memory capacity and the antisaccade task: individual differences in voluntary saccade control. J. Exp. Psychol. Learn. Mem. Cogn. 2004, 30:1302-1321.
75. Unsworth N., Heitz R.P., Schrock J.C., Engle R.W. An automated version of the operation span task. Behav. Res. Methods 2005, 37:498-505.
76. Vogel E.K., Machizawa M.G. Neural activity predicts individual differences in visual working memory capacity. Nature 2004, 428:748-751.
77. Vogel E.K., McCollough A.W., Machizawa M.G. Neural measures reveal individual differences in controlling access to working memory. Nature 2005, 438:500-503.
78. Wendt M., Heldmann M., Munte T.F., Kluwe R.H. Disentangling sequential effects of stimulus- and response-related conflict and stimulus-response repetition using brain potentials. J. Cogn. Neurosci. 2007, 19:1104-1112.
79. Wilhelm O., Hildebrandt A., Oberauer K. What is working memory capacity, and how can we measure it?. Front. Psychol. 2013, 4:433.
80. Yarkoni T., Braver T.S. Cognitive neuroscience approaches to Individual Differences in Working Memory and Executive Control: Conceptual and Methodological Issues. Handbook of Individual Differences in Cognition 2010, 87-107. Springer, New York.