Healthy minds 0–100 years: Optimising the use of European brain imaging cohorts (“Lifebrain”)

Walhovd, Kristine B.; Fjell, Anders M.; Westerhausen, René; Nyberg, Lars; Ebmeier, Klaus P.; Lindenberger, Ulman; Bartrés‐Faz, David; Baaré, William F.C.; Siebner, Hartwig R.; Henson, Richard N.; Drevon, Christian A.; Knudsen, Gun Peggy; Ljøsne, Isabelle Budin; Penninx, Brenda W. J. H.; Ghisletta, Paolo; Røgeberg, Ole; Tyler, Lorraine K.; Bertram, Lars

doi:10.1016/j.eurpsy.2017.12.006

Cited by 60 publications

(56 citation statements)

References 92 publications

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“…The sample was derived from the European Lifebrain project (http://www.lifebrain.uio.no/) [37], including participants from major European brain studies: Berlin Study of Aging-II (BASE-II) [38, 39], the BETULA project ([40], the Cambridge Centre for Ageing and Neuroscience study (Cam-CAN) [41], Center for Lifebrain Changes in Brain and Cognition longitudinal studies (LCBC) [42, 43], Whitehall-II (WH-II) [44], and University of Barcelona brain studies [45–47]. In total, self-reported sleep and hippocampal volume data from 3105 participants (18-90 years) were included.…”

Section: Methodsmentioning

confidence: 99%

Self-reported sleep relates to hippocampal atrophy across the adult lifespan – results from the Lifebrain consortium

Fjell

Sørensen

Amlien

et al. 2019

Preprint

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BackgroundPoor sleep is associated with multiple age-related neurodegenerative and neuropsychiatric conditions. The hippocampus plays a special role in sleep and sleep-dependent cognition, and accelerated hippocampal atrophy is typically seen with higher age. Hence, it is critical to establish how the relationship between sleep and hippocampal volume loss unfolds across the adult lifespan.MethodsSelf-reported sleep measures and MRI-derived hippocampal volumes were obtained from 3105 cognitively normal participants (18-90 years) from major European brain studies in the Lifebrain consortium. Hippocampal volume change was estimated from 5116 MRIs from 1299 participants, covering up to 11 years. Cross-sectional analyses were repeated in a sample of 21390 participants from the UK Biobank.ResultsThe relationship between self-reported sleep and age differed across sleep items. Sleep duration, efficiency, problems, and use of medication worsened monotonously with age, whereas subjective sleep quality, sleep latency, and daytime tiredness improved. Women reported worse sleep in general than men, but the relationship to age was similar. No cross-sectional sleep – hippocampal volume relationships was found. However, worse sleep quality, efficiency, problems, and daytime tiredness were related to greater hippocampal volume loss over time, with high scorers showing on average 0.22% greater annual loss than low scorers. Simulations showed that longitudinal effects were too small to be detected as age-interactions in cross-sectional analyses.ConclusionsWorse self-reported sleep is associated with higher rates of hippocampal decline across the adult lifespan. This suggests that sleep is relevant to understand individual differences in hippocampal atrophy, but limited effect sizes call for cautious interpretation.

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Section: Methodsmentioning

confidence: 99%

Self-reported sleep relates to hippocampal atrophy across the adult lifespan – results from the Lifebrain consortium

Fjell

Sørensen

Amlien

et al. 2019

Preprint

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“…At this time, there is a clear progress toward brain imaging consortia and multicenter studies, such as ENIGMA (Thompson et al, 2014), the German National Cohort study (Nationale Kohorte; NAKO (Bamberg et al, 2015;German National Cohort, 2014), ADNI (Alzheimer's Disease Neuroimaging Initiative ;Jack Jr. et al, 2008), U.K. Biobank (Miller et al, 2016;Sudlow et al, 2015), or Lifebrain (Walhovd et al, 2018). In the field of healthy aging, such projects use data pooling procedures (i.e., joint analysis of data from different independent samples) to fulfill the need for large sample sizes required to identify protective and risk factors that in combination might explain why some older adults develop neurodegenerative diseases, while others retain their cognitive integrity until very old.…”

Section: Introductionmentioning

confidence: 99%

Generalizing age effects on brain structure and cognition: A two‐study comparison approach

Jockwitz

Mérillat

Liem

et al. 2019

Human Brain Mapping

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Normal aging is accompanied by an interindividually variable decline in cognitive abilities and brain structure. This variability, in combination with methodical differences and differences in sample characteristics across studies, pose a major challenge for generalizability of results from different studies. Therefore, the current study aimed at cross‐validating age‐related differences in cognitive abilities and brain structure (measured using cortical thickness [CT]) in two large independent samples, each consisting of 228 healthy older adults aged between 65 and 85 years: the Longitudinal Healthy Aging Brain (LHAB) database (University of Zurich, Switzerland) and the 1000BRAINS (Research Centre Jülich, Germany). Participants from LHAB showed significantly higher education, physical well‐being, and cognitive abilities (processing speed, concept shifting, reasoning, semantic verbal fluency, and vocabulary). In contrast, CT values were larger for participants of 1000BRAINS. Though, both samples showed highly similar age‐related differences in both, cognitive abilities and CT. These effects were in accordance with functional aging theories, for example, posterior to anterior shift in aging as was shown for the default mode network. Thus, the current two‐study approach provides evidence that independently on heterogeneous metrics of brain structure or cognition across studies, age‐related effects on cognitive ability and brain structure can be generalized over different samples, assuming the same methodology is used.

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“…To test the relationship between the relevant sleep variable (see below for selection criteria) and memory change, we also included data from the Lifebrain consortium (http://www.lifebrain.uio.no/) 15 , an EU-funded (H2020) project including participants from several major European brain studies: Berlin Study of Aging-II (BASE-II) 45,46 , the BETULA project 47 , University of Barcelona brain studies [48][49][50] , and Whitehall-II 51 , yielding a total of 1196 participants. The samples and procedures used are described in detail elsewhere 8 .…”

Section: Meta-analysis Of Self-reported Sleep and Memory Changementioning

confidence: 99%

“…We hypothesized worse sleep to be related to stronger degeneration, particularly in individuals with cortical Aβ accumulation, and also when controlling for APOE ε4 and polygenic scores for sleep efficiency and AD 14 . To further assess self-reported sleep relations with memory decline, we also performed a meta-analysis using data from the Lifebrain consortium 15 .…”

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confidence: 99%

Self-Reported Sleep Relates to Microstructural Hippocampal Decline in β-Amyloid Positive Adults Beyond Genetic Risk

Grydeland

Sederevičius

Wang

et al. 2020

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Objective:To test the hypothesis that worse self-reported sleep relates to reduced hippocampal integrity as indexed by increased intra-hippocampal water diffusion, and that this relationship is stronger in the presence of β-amyloid (Aβ) accumulation, a marker of Alzheimer's disease (AD) pathology. Methods. Two-hundred and fifty-one participants, aged 19-81 years, completed the Pittsburgh Sleep Quality Index, and 2 diffusion tensor imaging sessions, on average 3 years apart, allowing estimates of decline in hippocampal microstructural integrity as indexed by increased mean diffusivity (MD). We used the delayed recall from the California Verbal Learning Test to measure memory change. 18 F-Flutemetamol PET, in 108 participants above 44 years of age, yielded 23 Aβ positive cases. Genotyping enabled controlling for APOE ε4 status, and polygenic scores for sleep efficiency and AD. Results. Worse global sleep quality and sleep efficiency related to more rapid reduction in hippocampal microstructural integrity over time. Focusing on sleep efficiency, this relationship was stronger in presence of cortical Aβ accumulation. Sleep efficiency also related to memory decline indirectly via hippocampal integrity decline. The results were not explained by genetic risk for sleep efficiency and AD. Conclusions. Poor self-reported sleep efficiency related to decline in hippocampal integrity, especially in the presence of Aβ accumulation. Poor sleep and hippocampal microstructural decline may partly explain memory decline in older adults with Aβ pathology. The relationships were not explained by genetic risk, and poor selfreported sleep efficiency might constitute a risk factor for AD, although the causal mechanisms driving the of observed associations are unknown.

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Healthy minds 0–100 years: Optimising the use of European brain imaging cohorts (“Lifebrain”)

Cited by 60 publications

References 92 publications

Self-reported sleep relates to hippocampal atrophy across the adult lifespan – results from the Lifebrain consortium

Self-reported sleep relates to hippocampal atrophy across the adult lifespan – results from the Lifebrain consortium

Generalizing age effects on brain structure and cognition: A two‐study comparison approach

Self-Reported Sleep Relates to Microstructural Hippocampal Decline in β-Amyloid Positive Adults Beyond Genetic Risk

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