Literature DB >> 34637747

Inter-electrode correlations measured with EEG predict individual differences in cognitive ability.

Nicole Hakim1, Edward Awh2, Edward K Vogel2, Monica D Rosenberg3.   

Abstract

Human brains share a broadly similar functional organization with consequential individual variation. This duality in brain function has primarily been observed when using techniques that consider the spatial organization of the brain, such as MRI. Here, we ask whether these common and unique signals of cognition are also present in temporally sensitive but spatially insensitive neural signals. To address this question, we compiled electroencephalogram (EEG) data from individuals of both sexes while they performed multiple working memory tasks at two different data-collection sites (n = 171 and 165). Results revealed that trial-averaged EEG activity exhibited inter-electrode correlations that were stable within individuals and unique across individuals. Furthermore, models based on these inter-electrode correlations generalized across datasets to predict participants' working memory capacity and general fluid intelligence. Thus, inter-electrode correlation patterns measured with EEG provide a signature of working memory and fluid intelligence in humans and a new framework for characterizing individual differences in cognitive abilities.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  EEG; brain-based modeling; cognition; connectivity; cross-validation; fluid intelligence; individual differences; inter-electrode correlation; prediction; working memory

Mesh:

Year:  2021        PMID: 34637747      PMCID: PMC8612967          DOI: 10.1016/j.cub.2021.09.036

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  41 in total

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Review 8.  Characterizing Attention with Predictive Network Models.

Authors:  M D Rosenberg; E S Finn; D Scheinost; R T Constable; M M Chun
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9.  Inter-individual differences in human brain structure and morphology link to variation in demographics and behavior.

Authors:  Alberto Llera; Thomas Wolfers; Peter Mulders; Christian F Beckmann
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10.  Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI.

Authors:  Maximilian Nentwich; Lei Ai; Jens Madsen; Qawi K Telesford; Stefan Haufe; Michael P Milham; Lucas C Parra
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  1 in total

1.  The multiple indicator multiple cause model for cognitive neuroscience: An analytic tool which emphasizes the behavior in brain-behavior relationships.

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  1 in total

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