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Sleep and resting‐state functional magnetic resonance imaging connectivity in middle‐aged adults and the elderly: A population‐based study
Author(s) -
Lysen Thom S.,
Zonneveld Hazel I.,
Muetzel Ryan L.,
Ikram M. Arfan,
Luik Annemarie I.,
Vernooij Meike W.,
Tiemeier Henning
Publication year - 2020
Publication title -
journal of sleep research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.297
H-Index - 117
eISSN - 1365-2869
pISSN - 0962-1105
DOI - 10.1111/jsr.12999
Subject(s) - functional magnetic resonance imaging , rotterdam study , sleep (system call) , resting state fmri , population , magnetic resonance imaging , brain activity and meditation , psychology , blood oxygen level dependent , audiology , neuroscience , medicine , electroencephalography , environmental health , computer science , radiology , operating system
Sleep problems increase with ageing. Increasing evidence suggests that sleep problems are not only a consequence of age‐related processes, but may independently contribute to developing vascular or neurodegenerative brain disease. Yet, it remains unclear what mechanisms underlie the impact sleep problems may have on brain health in the general middle‐aged and elderly population. Here, we studied sleep's relation to brain functioning in 621 participants (median age 62 years, 55% women) from the population‐based Rotterdam Study. We investigated cross‐sectional associations of polysomnographic and subjectively measured aspects of sleep with intrinsic neural activity measured with resting‐state functional magnetic resonance imaging on a different day. We investigated both functional connectivity between regions and brain activity (blood‐oxygen‐level‐dependent signal amplitude) within regions, hierarchically towards smaller topographical levels. We found that longer polysomnographic total sleep time is associated with lower blood‐oxygen‐level‐dependent signal amplitude in (pre)frontal regions. No objective or subjective sleep parameters were associated with functional connectivity between or within resting‐state networks. The findings may indicate a pathway through which sleep, in a ‘real‐life’ population setting, impacts brain activity or regional brain activity determines total sleep time.