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The sleep and wake electroencephalogram over the lifespan.
Sun, Haoqi; Ye, Elissa; Paixao, Luis; Ganglberger, Wolfgang; Chu, Catherine J; Zhang, Can; Rosand, Jonathan; Mignot, Emmanuel; Cash, Sydney S; Gozal, David; Thomas, Robert J; Westover, M Brandon.
Afiliação
  • Sun H; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, MA, USA.
  • Ye E; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Paixao L; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; School of Medicine, Washington University in St. Louis, St. Louis, MO, USA.
  • Ganglberger W; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Chu CJ; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Zhang C; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Rosand J; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, MA, USA.
  • Mignot E; Center for Sleep Sciences and Medicine, Stanford University, Stanford, CA USA.
  • Cash SS; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Gozal D; Department of Child Health, University of Missouri, Columbia, MO, USA.
  • Thomas RJ; Department of Medicine, Division of Pulmonary, Critical Care & Sleep, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Westover MB; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, MA, USA. Electronic address: mwestove@bidmc.harvard.edu.
Neurobiol Aging ; 124: 60-70, 2023 04.
Article em En | MEDLINE | ID: mdl-36739622
ABSTRACT
Both sleep and wake encephalograms (EEG) change over the lifespan. While prior studies have characterized age-related changes in the EEG, the datasets span a particular age group, or focused on sleep and wake macrostructure rather than the microstructure. Here, we present sex-stratified data from 3372 community-based or clinic-based otherwise neurologically and psychiatrically healthy participants ranging from 11 days to 80 years of age. We estimate age norms for key sleep and wake EEG parameters including absolute and relative powers in delta, theta, alpha, and sigma bands, as well as sleep spindle density, amplitude, duration, and frequency. To illustrate the potential use of the reference measures developed herein, we compare them to sleep EEG recordings from age-matched participants with Alzheimer's disease, severe sleep apnea, depression, osteoarthritis, and osteoporosis. Although the partially clinical nature of the datasets may bias the findings towards less normal and hence may underestimate pathology in practice, age-based EEG reference values enable objective screening of deviations from healthy aging among individuals with a variety of disorders that affect brain health.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos do Sono-Vigília / Doença de Alzheimer Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtornos do Sono-Vigília / Doença de Alzheimer Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article