Intelligence is differentially related to neural effort in the task-positive and the task-negative brain network

Intelligence

Volumn 41, Issue 5, 2013, Pages 517-528

  Basten, Ulrike ^a,b   Stelzel, Christine ^c   Fiebach, Christian J ^a,b,d,e  

^a GOETHE UNIVERSITY   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

^c CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^d IDeA Center for Individual Development and Adaptive Education   (Germany)

^e RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

Default mode network; FMRI; Functional brain networks; Intelligence; Neural efficiency

Indexed keywords

EID: 84881223732     PISSN: 01602896     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.intell.2013.07.006     Document Type: Article

References (56)

1. Amthauer R., Brocke B., Liepmann D., Beauducel A. Intelligenz-Struktur-test 2000 R 2001, Hogrefe, Göttingen.
2. Anticevic A., Repovs G., Shulman G.L., Barch D.M. When less is more: TPJ and default network deactivation during encoding predicts working memory performance. NeuroImage 2010, 49:2638-2648.
3. Basten U., Stelzel C., Fiebach C.J. Trait anxiety modulates the neural efficiency of inhibitory control. Journal of Cognitive Neuroscience 2011, 23:3132-3145.
4. Basten U., Stelzel C., Fiebach C.J. Trait anxiety and the neural efficiency of manipulation in working memory. Cognitive, Affective, & Behavioral Neuroscience 2012, 12:571-588.
5. Buckner R.L., Andrews-Hanna J.R., Schacter D.L. The brain's default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences 2008, 1124:1-38.
6. Choi Y.Y., Shamosh N.A., Cho S.H., DeYoung C.G., Lee M.J., Lee J.M., et al. Multiple bases of human intelligence revealed by cortical thickness and neural activation. Journal of Neuroscience 2008, 28:10323-10329.
7. Christoff K., Gordon A.M., Smallwood J., Smith R., Schooler J.W. Experience sampling during fMRI reveals default network and executive system contributions to mind wandering. Proceedings of the National Academy of Sciences of the United States of America 2009, 106:8719-8724.
8. Cole M.W., Schneider W. The cognitive control network: Integrated cortical regions with dissociable functions. NeuroImage 2007, 37:343-360.
9. D'Esposito M., Postle B.R., Ballard D., Lease J. Maintenance versus manipulation of information held in working memory: An event-related fMRI study. Brain and Cognition 1999, 41:66-86.
10. Dale A.M. Optimal experimental design for event-related fMRI. Human Brain Mapping 1999, 8:109-114.
11. Doppelmayr M., Klimesch W., Hodlmoser K., Sauseng P., Gruber W. Intelligence related upper alpha desynchronization in a semantic memory task. Brain Research Bulletin 2005, 66:171-177.
12. Eichele T., Debener S., Calhoun V.D., Specht K., Engel A.K., Hugdahl K., et al. Prediction of human errors by maladaptive changes in event-related brain networks. Proceedings of the National Academy of Sciences of the United States of America 2008, 105:6173-6178.
13. Esposito F., Bertolino A., Scarabino T., Latorre V., Blasi G., Popolizio T., et al. Independent component model of the default-mode brain function: Assessing the impact of active thinking. Brain Research Bulletin 2006, 70:263-269.
14. Forman S.D., Cohen J.D., Fitzgerald M., Eddy W.F., Mintun M.A., Noll D.C. Improved assessment of significant activation in functional magnetic resonance imaging (fMRI): use of a cluster-size threshold. Magnetic Resonance in Medicine 1995, 33:636-647.
15. Fox M.D., Snyder A.Z., Vincent J.L., Corbetta M., Van Essen D.C., Raichle M.E. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America 2005, 102:9673-9678.
16. Friston K., Holmes A., Worsley K., Poline J., Frith C., Frackowiak R. Statistical parametric maps in functional imaging: A general linear approach. Human Brain Mapping 1995, 2:189-210.
17. Geake J.G., Hansen P.C. Neural correlates of intelligence as revealed by fMRI of fluid analogies. NeuroImage 2005, 26:555-564.
18. Gray J.R., Chabris C.F., Braver T.S. Neural mechanisms of general fluid intelligence. Nature Neuroscience 2003, 6:316-322.
19. Haier R.J., Benbow C.P. Sex differences and lateralization in temporal lobe glucose metabolism during mathematical reasoning. Developmental Neuropsychology 1995, 11:405-414.
20. Haier R.J., Jung R.E., Yeo R.A., Head K., Alkire M.T. Structural brain variation and general intelligence. NeuroImage 2004, 23:425-433.
21. Haier R.J., Jung R.E., Yeo R.A., Head K., Alkire M.T. The neuroanatomy of general intelligence: Sex matters. NeuroImage 2005, 25:320-327.
22. Haier R.J., Siegel B.V., Nuechterlein K.H., Hazlett E. Cortical glucose metabolic rate correlates of abstract reasoning and attention studied with positron emission tomography. Intelligence 1988, 12:199-217.
23. Holmes A., Friston K. Generalisability, random effects & population inference. NeuroImage 1998, 7:754.
24. Jann K., Dierks T., Boesch C., Kottlow M., Strik W., Koenig T. BOLD correlates of EEG alpha phase-locking and the fMRI default mode network. NeuroImage 2009, 45:903-916.
25. Jung R.E., Haier R.J. The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence. The Behavioral and Brain Sciences 2007, 30:135-154. (discussion 154-187).
26. Larson G.E., Haier R.J., Lacasse L., Hazen K. Evaluation of a "Mental Effort" hypothesis for correlations between cortical metabolism and intelligence. Intelligence 1995, 21:267-278.
27. Laufs H., Kleinschmidt A., Beyerle A., Eger E., Salek-Haddadi A., Preibisch C., et al. EEG-correlated fMRI of human alpha activity. NeuroImage 2003, 19:1463-1476.
28. Laufs H., Krakow K., Sterzer P., Eger E., Beyerle A., Salek-Haddadi A., et al. Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest. Proceedings of the National Academy of Sciences of the United States of America 2003, 100:11053-11058.
29. Lee K.H., Choi Y.Y., Gray J.R., Cho S.H., Chae J.H., Lee S., et al. Neural correlates of superior intelligence: Stronger recruitment of posterior parietal cortex. NeuroImage 2006, 29:578-586.
30. Li C.S., Yan P., Bergquist K.L., Sinha R. Greater activation of the "default" brain regions predicts stop signal errors. NeuroImage 2007, 38:640-648.
31. Lin P., Hasson U., Jovicich J., Robinson S. A neuronal basis for task-negative responses in the human brain. Cerebral Cortex 2011, 21:821-830.
32. Lipp I., Benedek M., Fink A., Koschutnig K., Reishofer G., Bergner S., et al. Investigating neural efficiency in the visuo-spatial domain: An FMRI study. PLoS One 2012, 7:e51316.
33. Mantini D., Perrucci M.G., Del Gratta C., Romani G.L., Corbetta M. Electrophysiological signatures of resting state networks in the human brain. Proceedings of the National Academy of Sciences of the United States of America 2007, 104:13170-13175.
34. Mason M.F., Norton M.I., Van Horn J.D., Wegner D.M., Grafton S.T., Macrae C.N. Wandering minds: The default network and stimulus-independent thought. Science 2007, 315:393-395.
35. McDaniel M.A. Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence 2005, 33:337-346.
36. McKiernan K.A., Kaufman J.N., Kucera-Thompson J., Binder J.R. A parametric manipulation of factors affecting task-induced deactivation in functional neuroimaging. Journal of Cognitive Neuroscience 2003, 15:394-408.
37. Narr K.L., Woods R.P., Thompson P.M., Szeszko P., Robinson D., Dimtcheva T., et al. Relationships between IQ and regional cortical gray matter thickness in healthy adults. Cerebral Cortex 2007, 17:2163-2171.
38. Neubauer A., Freudenthaler H.H., Pfurtscheller G. Intelligence and spatiotemporal patterns of event-related desynchronization (ERD). Intelligence 1995, 20:249-266.
39. Neubauer A.C., Fink A. Fluid intelligence and neural efficiency: Effects of task complexity and sex. Personality and Individual Differences 2003, 35:811-827.
40. Neubauer A.C., Fink A. Intelligence and neural efficiency. Neuroscience and Biobehavioral Reviews 2009, 33:1004-1023.
41. Neubauer A.C., Grabner R.H., Fink A., Neuper C. Intelligence and neural efficiency: Further evidence of the influence of task content and sex on the brain-IQ relationship. Brain Research. Cognitive Brain Research 2005, 25:217-225.
42. Perfetti B., Saggino A., Ferretti A., Caulo M., Romani G.L., Onofrj M. Differential patterns of cortical activation as a function of fluid reasoning complexity. Human Brain Mapping 2009, 30:497-510.
43. Postle B.R., Berger J.S., D'Esposito M. Functional neuroanatomical double dissociation of mnemonic and executive control processes contributing to working memory performance. Proceedings of the National Academy of Sciences of the United States of America 1999, 96:12959-12964.
44. Preusse F., van der Meer E., Deshpande G., Krueger F., Wartenburger I. Fluid intelligence allows flexible recruitment of the parieto-frontal network in analogical reasoning. Frontiers in Human Neuroscience 2011, 5:22.
45. Raichle M.E., MacLeod A.M., Snyder A.Z., Powers W.J., Gusnard D.A., Shulman G.L. A default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America 2001, 98:676-682.
46. Raven J., Raven J.C., Court J.H. Manual for Raven's progressive matrices and vocabulary scales 1998, Oxford Psychologists Press, Oxford.
47. Rypma B., Berger J.S., Prabhakaran V., Bly B.M., Kimberg D.Y., Biswal B.B., et al. Neural correlates of cognitive efficiency. NeuroImage 2006, 33:969-979.
48. Shulman G.L., Fiez J.A., Corbetta M., Buckner R.L., Miezin F.M., Raichle M.E., et al. Common blood flow changes across visual tasks: II. Decreases in cerebral cortex. Journal of Cognitive Neuroscience 1997, 9:648-663.
49. Singh K.D., Fawcett I.P. Transient and linearly graded deactivation of the human default-mode network by a visual detection task. NeuroImage 2008, 41:100-112.
50. Song M., Liu Y., Zhou Y., Wang K., Yu C., Jiang T. Default network and intelligence difference. Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 2009, 2009:2212-2215.
51. Sporns O., Chialvo D.R., Kaiser M., Hilgetag C.C. Organization, development and function of complex brain networks. Trends in Cognitive Sciences 2004, 8:418-425.
52. Tang C.Y., Eaves E.L., Ng J.C., Carpenter D.M., Mai X., Schroeder D.H., et al. Brain networks for working memory and factors of intelligence assessed in males and females with fMRI and DTI. Intelligence 2010, 38:293-303.
53. van den Heuvel M.P., Stam C.J., Kahn R.S., Hulshoff Pol H.E. Efficiency of functional brain networks and intellectual performance. Journal of Neuroscience 2009, 29:7619-7624.
54. Ward B.D. Simultaneous inference for FMRI data (From). http://afni.nimh.nih.gov/pub/dist/doc/manual/AlphaSim.pdf.
55. Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393:440-442.
56. Weissman D.H., Roberts K.C., Visscher K.M., Woldorff M.G. The neural bases of momentary lapses in attention. Nature Neuroscience 2006, 9:971-978.