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Aging of human alpha rhythm.
Journal article

Aging of human alpha rhythm.

  • Knyazeva MG Department of Clinical Neurosciences, Laboratoire de recherche en neuroimagerie (LREN), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Department of Clinical Neurosciences, Leenaards Memory Centre, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland. Electronic address: mariagknyazeva@gmail.com.
  • Barzegaran E Department of Clinical Neurosciences, Laboratoire de recherche en neuroimagerie (LREN), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; Department of Clinical Neurosciences, Leenaards Memory Centre, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
  • Vildavski VY Department of Psychology, Stanford University, Stanford, CA, USA.
  • Demonet JF Department of Clinical Neurosciences, Leenaards Memory Centre, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
  • 2018-06-20
Published in:
  • Neurobiology of aging. - 2018
Alpha rhythm slowing
Component structure of alpha rhythm
Oscillations
PARAFAC
Resting state
Source localization
Adult
Aged
Aged, 80 and over
Aging
Alpha Rhythm
Brain
Data Interpretation, Statistical
Female
Humans
Male
Middle Aged
Signal Processing, Computer-Assisted
Young Adult
English Alpha rhythm (AR) changes are the most pronounced electroencephalogram phenomenon in the aging brain. We analyzed them based on the inherent AR structure obtained by parallel factor analysis decomposition in the cortical source space. AR showed a stable multicomponent structure in 78% of sixty 20- to 81-year-old healthy adults. Typically, it consists of 2 components. The distribution of the higher frequency occipito-parietal component widens with age, with its maximum moving from BA18/19 to BA37. The low-frequency component originating from the occipito-temporal regions in young adults also moves anteriorly with age, while maintaining its maximum within BA37. Both components slow down by 1 Hz over the adult lifespan. The multicomponent AR is more common in younger subjects, whereas a single-component AR in older subjects. This uneven occurrence as well as the increasing spatial and frequency overlaps between components suggest transformation of the multicomponent AR into the single-component AR with age. A detailed knowledge of AR component structure would be useful to monitor age-related neurodegenerative processes in humans.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://sonar.ch/global/documents/27555
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