Literature DB >> 32919869

The role of slow wave sleep in the development of dementia and its potential for preventative interventions.

Marina Wunderlin1, Marc Alain Züst2, Kristoffer Daniel Fehér3, Stefan Klöppel2, Christoph Nissen3.   

Abstract

The increasing incidence rate of dementia underlines the necessity to identify early biomarkers of imminent cognitive decline. Recent findings suggest that cognitive decline and the pathophysiology of Alzheimer's disease are closely linked to disruptions in slow wave sleep (SWS) - the deepest sleep stage. SWS is essential for memory functions and displays a potentially causal and bidirectional link to the accumulation of amyloid beta deposition. Accordingly, improving SWS in older adults - especially when at risk for dementia - might slow down the rate of cognitive decline. Recent work suggests that SWS can be improved by specifically targeting the electrophysiological peaks of the slow waves with acoustic stimulation. In older adults, this approach is still fairly new and accompanied by challenges posed by the specific complexity of their sleep physiology, like lower amplitude slow waves and fragmented sleep architecture. We suggest an approach that tackles these issues and attempts to re-instate a sleep physiology that resembles a younger, healthier brain. With enough SWS of high quality, metabolic clearance and memory functions could benefit and help slowing the process of cognitive aging. Ultimately, acoustic stimulation to enhance SWS could serve as a cost-effective, non-invasive tool to combat cognitive decline.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acoustic stimulation; Aging; Dementia; Memory; Slow wave sleep

Mesh:

Substances:

Year:  2020        PMID: 32919869     DOI: 10.1016/j.pscychresns.2020.111178

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


  2 in total

1.  The Rise and Fall of Slow Wave Tides: Vacillations in Coupled Slow Wave/Spindle Pairing Shift the Composition of Slow Wave Activity in Accordance With Depth of Sleep.

Authors:  Brice V McConnell; Eugene Kronberg; Lindsey M Medenblik; Vitaly O Kheyfets; Alberto R Ramos; Stefan H Sillau; Rachelle L Pulver; Brianne M Bettcher
Journal:  Front Neurosci       Date:  2022-06-23       Impact factor: 5.152

2.  Prediction of Cognitive Decline Using Heart Rate Fragmentation Analysis: The Multi-Ethnic Study of Atherosclerosis.

Authors:  Madalena D Costa; Susan Redline; Timothy M Hughes; Susan R Heckbert; Ary L Goldberger
Journal:  Front Aging Neurosci       Date:  2021-08-26       Impact factor: 5.750

  2 in total

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