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Spectral Variability in the Aged Brain during Fine Motor Control

Physiological aging is paralleled by a decline of fine motor skills accompanied by structural and functional alterations of the underlying brain network. Here, we aim to investigate age-related changes in the spectral distribution of neuronal oscillations during fine skilled motor function. We emplo...

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Autores principales: Quandt, Fanny, Bönstrup, Marlene, Schulz, Robert, Timmermann, Jan E., Zimerman, Maximo, Nolte, Guido, Hummel, Friedhelm C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5175385/
https://www.ncbi.nlm.nih.gov/pubmed/28066231
http://dx.doi.org/10.3389/fnagi.2016.00305
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author Quandt, Fanny
Bönstrup, Marlene
Schulz, Robert
Timmermann, Jan E.
Zimerman, Maximo
Nolte, Guido
Hummel, Friedhelm C.
author_facet Quandt, Fanny
Bönstrup, Marlene
Schulz, Robert
Timmermann, Jan E.
Zimerman, Maximo
Nolte, Guido
Hummel, Friedhelm C.
author_sort Quandt, Fanny
collection PubMed
description Physiological aging is paralleled by a decline of fine motor skills accompanied by structural and functional alterations of the underlying brain network. Here, we aim to investigate age-related changes in the spectral distribution of neuronal oscillations during fine skilled motor function. We employ the concept of spectral entropy in order to describe the flatness and peaked-ness of a frequency spectrum to quantify changes in the spectral distribution of the oscillatory motor response in the aged brain. Electroencephalogram was recorded in elderly (n = 32) and young (n = 34) participants who performed either a cued finger movement or a pinch or a whole hand grip task with their dominant right hand. Whereas young participant showed distinct, well-defined movement-related power decreases in the alpha and upper beta band, elderly participants exhibited a flat broadband, frequency-unspecific power desynchronization. This broadband response was reflected by an increase of spectral entropy over sensorimotor and frontal areas in the aged brain. Neuronal activation patterns differed between motor tasks in the young brain, while the aged brain showed a similar activation pattern in all tasks. Moreover, we found a wider recruitment of the cortical motor network in the aged brain. The present study adds to the understanding of age-related changes of neural coding during skilled motor behavior, revealing a less predictable signal with great variability across frequencies in a wide cortical motor network in the aged brain. The increase in entropy in the aged brain could be a reflection of random noise-like activity or could represent a compensatory mechanism that serves a functional role.
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spelling pubmed-51753852017-01-06 Spectral Variability in the Aged Brain during Fine Motor Control Quandt, Fanny Bönstrup, Marlene Schulz, Robert Timmermann, Jan E. Zimerman, Maximo Nolte, Guido Hummel, Friedhelm C. Front Aging Neurosci Neuroscience Physiological aging is paralleled by a decline of fine motor skills accompanied by structural and functional alterations of the underlying brain network. Here, we aim to investigate age-related changes in the spectral distribution of neuronal oscillations during fine skilled motor function. We employ the concept of spectral entropy in order to describe the flatness and peaked-ness of a frequency spectrum to quantify changes in the spectral distribution of the oscillatory motor response in the aged brain. Electroencephalogram was recorded in elderly (n = 32) and young (n = 34) participants who performed either a cued finger movement or a pinch or a whole hand grip task with their dominant right hand. Whereas young participant showed distinct, well-defined movement-related power decreases in the alpha and upper beta band, elderly participants exhibited a flat broadband, frequency-unspecific power desynchronization. This broadband response was reflected by an increase of spectral entropy over sensorimotor and frontal areas in the aged brain. Neuronal activation patterns differed between motor tasks in the young brain, while the aged brain showed a similar activation pattern in all tasks. Moreover, we found a wider recruitment of the cortical motor network in the aged brain. The present study adds to the understanding of age-related changes of neural coding during skilled motor behavior, revealing a less predictable signal with great variability across frequencies in a wide cortical motor network in the aged brain. The increase in entropy in the aged brain could be a reflection of random noise-like activity or could represent a compensatory mechanism that serves a functional role. Frontiers Media S.A. 2016-12-21 /pmc/articles/PMC5175385/ /pubmed/28066231 http://dx.doi.org/10.3389/fnagi.2016.00305 Text en Copyright © 2016 Quandt, Bönstrup, Schulz, Timmermann, Zimerman, Nolte and Hummel. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Quandt, Fanny
Bönstrup, Marlene
Schulz, Robert
Timmermann, Jan E.
Zimerman, Maximo
Nolte, Guido
Hummel, Friedhelm C.
Spectral Variability in the Aged Brain during Fine Motor Control
title Spectral Variability in the Aged Brain during Fine Motor Control
title_full Spectral Variability in the Aged Brain during Fine Motor Control
title_fullStr Spectral Variability in the Aged Brain during Fine Motor Control
title_full_unstemmed Spectral Variability in the Aged Brain during Fine Motor Control
title_short Spectral Variability in the Aged Brain during Fine Motor Control
title_sort spectral variability in the aged brain during fine motor control
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5175385/
https://www.ncbi.nlm.nih.gov/pubmed/28066231
http://dx.doi.org/10.3389/fnagi.2016.00305
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