Prediction of general mental ability based on neural oscillation measures of sleep

Bódizs, Róbert, Kis, Tamás, Lázár, Alpár Sándor, Havrán, Linda, Rigó, Péter, Clemens, Zsófia and Halász, Péter (2005) Prediction of general mental ability based on neural oscillation measures of sleep. Journal of Sleep Research, 14 (3). pp. 285-292. ISSN 0962-1105

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Abstract

The usual assessment of general mental ability (or intelligence) is based on performance attained in reasoning and problem-solving tasks. Differences in general mental ability have been associated with event-related neural activity patterns of the wakeful working brain or physical, chemical and electrical brain features measured during wakeful resting conditions. Recent evidences suggest that specific sleep electroencephalogram oscillations are related to wakeful cognitive performances. Our aim is to reveal the relationship between non-rapid eye movement sleep-specific oscillations (the slow oscillation, delta activity, slow and fast sleep spindle density, the grouping of slow and fast sleep spindles) and general mental ability assessed by the Raven Progressive Matrices Test (RPMT). The grouping of fast sleep spindles by the cortical slow oscillation in the left frontopolar derivation (Fp1) as well as the density of fast sleep spindles over the right frontal area (Fp2, F4), correlated positively with general mental ability. Data from those selected electrodes that showed the high correlations with general mental ability explained almost 70% of interindividual variance in RPMT scores. Results suggest that individual differences in general mental ability are reflected in fast sleep spindle-related oscillatory activity measured over the frontal cortex.

Item Type: Article
Uncontrolled Keywords: adult,aged,cortical synchronization,electroencephalography,eye movements,female,humans,intelligence,male,middle aged,neurons,neuropsychological tests,predictive value of tests,prefrontal cortex,problem solving,sleep
Faculty \ School: Faculty of Medicine and Health Sciences > School of Health Sciences
Depositing User: Pure Connector
Date Deposited: 07 Dec 2016 00:07
Last Modified: 22 Apr 2020 02:05
URI: https://ueaeprints.uea.ac.uk/id/eprint/61623
DOI: 10.1111/j.1365-2869.2005.00472.x

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