Literature DB >> 25471574

Sleep spindles and intelligence: evidence for a sexual dimorphism.

Péter P Ujma1, Boris Nikolai Konrad2, Lisa Genzel3, Annabell Bleifuss4, Péter Simor5, Adrián Pótári1, János Körmendi1, Ferenc Gombos6, Axel Steiger4, Róbert Bódizs7, Martin Dresler8.   

Abstract

Sleep spindles are thalamocortical oscillations in nonrapid eye movement sleep, which play an important role in sleep-related neuroplasticity and offline information processing. Sleep spindle features are stable within and vary between individuals, with, for example, females having a higher number of spindles and higher spindle density than males. Sleep spindles have been associated with learning potential and intelligence; however, the details of this relationship have not been fully clarified yet. In a sample of 160 adult human subjects with a broad IQ range, we investigated the relationship between sleep spindle parameters and intelligence. In females, we found a positive age-corrected association between intelligence and fast sleep spindle amplitude in central and frontal derivations and a positive association between intelligence and slow sleep spindle duration in all except one derivation. In males, a negative association between intelligence and fast spindle density in posterior regions was found. Effects were continuous over the entire IQ range. Our results demonstrate that, although there is an association between sleep spindle parameters and intellectual performance, these effects are more modest than previously reported and mainly present in females. This supports the view that intelligence does not rely on a single neural framework, and stronger neural connectivity manifesting in increased thalamocortical oscillations in sleep is one particular mechanism typical for females but not males.
Copyright © 2014 the authors 0270-6474/14/3416358-11$15.00/0.

Entities:  

Keywords:  intelligence; memory; sex; sleep; sleep spindles

Mesh:

Year:  2014        PMID: 25471574      PMCID: PMC6608484          DOI: 10.1523/JNEUROSCI.1857-14.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  24 in total

Review 1.  Nonrapid eye movement sleep characteristics and relations with motor, memory, and cognitive ability from infancy to preadolescence.

Authors:  Jessica M Page; Lauren S Wakschlag; Elizabeth S Norton
Journal:  Dev Psychobiol       Date:  2021-12       Impact factor: 3.038

2.  A comparison of two sleep spindle detection methods based on all night averages: individually adjusted vs. fixed frequencies.

Authors:  Péter Przemyslaw Ujma; Ferenc Gombos; Lisa Genzel; Boris Nikolai Konrad; Péter Simor; Axel Steiger; Martin Dresler; Róbert Bódizs
Journal:  Front Hum Neurosci       Date:  2015-02-17       Impact factor: 3.169

3.  Sleep Changes in Adolescents Following Procedural Task Training.

Authors:  Rebecca S Nader; Anthony L Murkar; Carlyle T Smith
Journal:  Front Psychol       Date:  2016-10-06

4.  The sleep EEG spectrum is a sexually dimorphic marker of general intelligence.

Authors:  Péter P Ujma; Boris N Konrad; Ferenc Gombos; Péter Simor; Adrián Pótári; Lisa Genzel; Marcel Pawlowski; Axel Steiger; Róbert Bódizs; Martin Dresler
Journal:  Sci Rep       Date:  2017-12-22       Impact factor: 4.379

5.  Sleep spindle detection based on non-experts: A validation study.

Authors:  Rui Zhao; Jinbo Sun; Xinxin Zhang; Huanju Wu; Peng Liu; Xuejuan Yang; Wei Qin
Journal:  PLoS One       Date:  2017-05-11       Impact factor: 3.240

6.  Spindle activity in young children with autism, developmental delay, or typical development.

Authors:  Cristan A Farmer; Priyanka Chilakamarri; Audrey E Thurm; Susan E Swedo; Gregory L Holmes; Ashura W Buckley
Journal:  Neurology       Date:  2018-06-06       Impact factor: 9.910

7.  Expert and crowd-sourced validation of an individualized sleep spindle detection method employing complex demodulation and individualized normalization.

Authors:  Laura B Ray; Stéphane Sockeel; Melissa Soon; Arnaud Bore; Ayako Myhr; Bobby Stojanoski; Rhodri Cusack; Adrian M Owen; Julien Doyon; Stuart M Fogel
Journal:  Front Hum Neurosci       Date:  2015-09-24       Impact factor: 3.169

8.  Automatic Sleep Spindle Detection and Genetic Influence Estimation Using Continuous Wavelet Transform.

Authors:  Marek Adamczyk; Lisa Genzel; Martin Dresler; Axel Steiger; Elisabeth Friess
Journal:  Front Hum Neurosci       Date:  2015-11-19       Impact factor: 3.169

9.  Nap sleep spindle correlates of intelligence.

Authors:  Péter P Ujma; Róbert Bódizs; Ferenc Gombos; Johannes Stintzing; Boris N Konrad; Lisa Genzel; Axel Steiger; Martin Dresler
Journal:  Sci Rep       Date:  2015-11-26       Impact factor: 4.379

10.  Sleep Spindle Density Predicts the Effect of Prior Knowledge on Memory Consolidation.

Authors:  Nora Hennies; Matthew A Lambon Ralph; Marleen Kempkes; James N Cousins; Penelope A Lewis
Journal:  J Neurosci       Date:  2016-03-30       Impact factor: 6.167

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