Literature DB >> 8758971

Age increases brain complexity.

A P Anokhin1, N Birbaumer, W Lutzenberger, A Nikolaev, F Vogel.   

Abstract

This study investigated age-related changes in the human brain function using both traditional EEG analysis (power spectra) and the correlational dimension, a measure reflecting the complexity of EEG dynamics and, probably, the complexity of neurophysiological processes generating the EEG. Assuming that the accumulation of individual experience is determined by the formation of functionally related groups of neurons showing a repetitive synchronous activation (cell assemblies), an increase in the number of such independently oscillating cortical cell assemblies can be expected, despite a decline of some metabolic and memory functions with normal ageing. Thus, the "wisdom of old age' may find its neurophysiological basis in greater complexity of brain dynamics compared to young ages. The experimental hypothesis was that EEG dimension steadily increases with age. In order to test this hypothesis the resting EEGs of 5 age groups from 7 to 60 were analysed. The results confirm the hypothesis: after a jump in the brain dynamics complexity during puberty a linear increase with age is observed. During maturation (7-25 years), the maximum gain in complexity occurs over the frontal associative cortex.

Entities:  

Mesh:

Year:  1996        PMID: 8758971     DOI: 10.1016/0921-884x(96)95573-3

Source DB:  PubMed          Journal:  Electroencephalogr Clin Neurophysiol        ISSN: 0013-4694


  29 in total

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4.  Genetic and environmental influences on frontal EEG asymmetry: a twin study.

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5.  Genetic influences on dynamic complexity of brain oscillations.

Authors:  Andrey P Anokhin; Viktor Müller; Ulman Lindenberger; Andrew C Heath; Erin Myers
Journal:  Neurosci Lett       Date:  2006-01-27       Impact factor: 3.046

6.  Charting moment-to-moment brain signal variability from early to late childhood.

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7.  EEG low-resolution brain electromagnetic tomography (LORETA) in Huntington's disease.

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8.  Heritability of risk-taking in adolescence: a longitudinal twin study.

Authors:  Andrey P Anokhin; Simon Golosheykin; Julia Grant; Andrew C Heath
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9.  Spatiotemporal dependency of age-related changes in brain signal variability.

Authors:  A R McIntosh; V Vakorin; N Kovacevic; H Wang; A Diaconescu; A B Protzner
Journal:  Cereb Cortex       Date:  2013-02-08       Impact factor: 5.357

10.  Long-term stability of electroencephalographic asymmetry and power in 3 to 9 year-old children.

Authors:  Marike Vuga; Nathan A Fox; Jeffrey F Cohn; Maria Kovacs; Charles J George
Journal:  Int J Psychophysiol       Date:  2007-10-25       Impact factor: 2.997

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