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

Róbert Bódizs, Tamás Kis, Alpár Sándor Lázár, Linda Havrán, Péter Rigó, Zsófia Clemens, Péter Halász

Research output: Contribution to journalArticle

122 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)285-292
Number of pages8
JournalJournal of Sleep Research
Volume14
Issue number3
DOIs
Publication statusPublished - Sep 1 2005

Keywords

  • Cortical synchronization
  • Electroencephalogram
  • Intelligence
  • Mental test
  • Prefrontal cortex
  • Sleep spindles

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Behavioral Neuroscience

Fingerprint Dive into the research topics of 'Prediction of general mental ability based on neural oscillation measures of sleep'. Together they form a unique fingerprint.

  • Cite this