Sleep: Slow Wave Activity Predicts Amyloid-β Accumulation

Hong Viet V. Ngo; Jurgen Claassen; Martin Dresler

doi:10.1016/j.cub.2020.09.058

Sleep: Slow Wave Activity Predicts Amyloid-β Accumulation

Hong Viet V. Ngo, Jurgen Claassen, Martin Dresler^*

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Experimentelle und Klinische Pharmakologie und Toxikologie

Radboud-Universität Nijmegen

11 Zitate (Scopus)

Abstract

The accumulation of amyloid-β, a metabolic residue found in the brain, has been linked to cognitive ageing and Alzheimer's disease. A longitudinal study reveals that the increase of amyloid-β can be predicted using simple sleep parameters.

Originalsprache	Englisch
Zeitschrift	Current Biology
Jahrgang	30
Ausgabenummer	22
Seiten (von - bis)	R1371-R1373
ISSN	0960-9822
DOIs	https://doi.org/10.1016/j.cub.2020.09.058
Publikationsstatus	Veröffentlicht - 16.11.2020

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 3 – Gesundheit und Wohlergehen

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Forschungsschwerpunkt: Gehirn, Hormone, Verhalten - Center for Brain, Behavior and Metabolism (CBBM)

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10.1016/j.cub.2020.09.058

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title = "Sleep: Slow Wave Activity Predicts Amyloid-β Accumulation",

abstract = "The accumulation of amyloid-β, a metabolic residue found in the brain, has been linked to cognitive ageing and Alzheimer's disease. A longitudinal study reveals that the increase of amyloid-β can be predicted using simple sleep parameters.",

author = "Ngo, \{Hong Viet V.\} and Jurgen Claassen and Martin Dresler",

year = "2020",

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doi = "10.1016/j.cub.2020.09.058",

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N2 - The accumulation of amyloid-β, a metabolic residue found in the brain, has been linked to cognitive ageing and Alzheimer's disease. A longitudinal study reveals that the increase of amyloid-β can be predicted using simple sleep parameters.

AB - The accumulation of amyloid-β, a metabolic residue found in the brain, has been linked to cognitive ageing and Alzheimer's disease. A longitudinal study reveals that the increase of amyloid-β can be predicted using simple sleep parameters.

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DO - 10.1016/j.cub.2020.09.058

M3 - Journal articles

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SN - 0960-9822

VL - 30

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JO - Current Biology

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ER -

Sleep: Slow Wave Activity Predicts Amyloid-β Accumulation

Abstract

UN SDGs

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