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Posterior Beta and Anterior Gamma Oscillations Predict Cognitive Insight

Sheth, Bhavin R. and Sandkühler, Simone and Bhattacharya, Joydeep (2009) Posterior Beta and Anterior Gamma Oscillations Predict Cognitive Insight. Journal of Cognitive Neuroscience, 21 (7). pp. 1269-1279. ISSN 0898-929X. http://resolver.caltech.edu/CaltechAUTHORS:20090911-113123949

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Abstract

Pioneering neuroimaging studies on insight have revealed neural correlates of the emotional “Aha!” component of the insight process, but neural substrates of the cognitive component, such as problem restructuring (a key to transformative reasoning), remain a mystery. Here, multivariate electroencephalogram signals were recorded from human participants while they solved verbal puzzles that could create a small-scale experience of cognitive insight. Individuals responded as soon as they reached a solution and provided a rating of subjective insight. For unsolved puzzles, hints were provided after 60 to 90 sec. Spatio-temporal signatures of brain oscillations were analyzed using Morlet wavelet transform followed by exploratory parallel-factor analysis. A consistent reduction in beta power (15–25 Hz) was found over the parieto-occipital and centro-temporal electrode regions on all four conditions—(a) correct (vs. incorrect) solutions, (b) solutions without (vs. with) external hint, (c) successful (vs. unsuccessful) utilization of the external hint, and d) self-reported high (vs. low) insight. Gamma band (30–70 Hz) power was increased in right fronto-central and frontal electrode regions for conditions (a) and (c). The effects occurred several (up to 8) seconds before the behavioral response. Our findings indicate that insight is represented by distinct spectral, spatial, and temporal patterns of neural activity related to presolution cognitive processes that are intrinsic to the problem itself but not exclusively to one's subjective assessment of insight.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1162/jocn.2009.21069DOIUNSPECIFIED
http://www.mitpressjournals.org/doi/abs/10.1162/jocn.2009.21069PublisherUNSPECIFIED
Additional Information:© 2008 Massachusetts Institute of Technology. Posted Online April 24, 2009. The research was supported by a GEAR grant from the University of Houston (B. R. S.), Cline Discovery Grant—Caltech (B. R. S.), JST.ERATO Shimojo project ( J. B.), and ONBJubila umsfondprojekt ( J. B.). J. B. also thankfully acknowledges the support of the Sloan–Swartz Foundation. PARAFAC models and diagnostics were calculated using ‘‘The N-way toolbox’’ for MATLAB kindly provided by Claus Andersson and Rasmus Bro (www.models.kvl.dk/source/nwaytoolbox). We thank Harald Sto¨gbauer for the programs on artifact removal, Larry Varghese for the verbalized protocol analysis, and Vinu Ipe for help in finding appropriate puzzles.
Funders:
Funding AgencyGrant Number
University of HoustonUNSPECIFIED
Cline Discovery Grant-CaltechUNSPECIFIED
JST ERATO Shimojo projectUNSPECIFIED
ONB-JubilaumsfondprojektUNSPECIFIED
Sloan-Swartz FoundationUNSPECIFIED
Issue or Number:7
Record Number:CaltechAUTHORS:20090911-113123949
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20090911-113123949
Official Citation:Posterior Beta and Anterior Gamma Oscillations Predict Cognitive Insight Bhavin R. Sheth, Simone Sandkühler, Joydeep Bhattacharya Journal of Cognitive Neuroscience 2009 21:7, 1269-1279
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:15776
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:02 Oct 2009 19:04
Last Modified:26 Dec 2012 11:21

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