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  • 1
    In: Alzheimer's & Dementia, Wiley, Vol. 17, No. S4 ( 2021-12)
    Abstract: Cortical thinning occurs with brain ageing and is a hallmark of neurodegenerative diseases, especially Alzheimer’s disease. While there is growing evidence that physical activity facilitates neuroplasticity and has neuroprotective effects, its influence on cortical thickness remains largely unexplored. We therefore aimed to elucidate 1) whether objectively‐assessed physical activity is associated with cortical thickness, and 2) which molecular mechanisms could underlie this association. Method Our source population consisted of the first 5,000 participants of the Rhineland Study, a prospective cohort study in Bonn (Germany), from which we included data of 2,649 participants (57.6% female, mean age: 54.7 years (range: 30 – 94 years)) with valid physical activity and MRI measurements. Free‐living physical activity was measured continuously over seven days using activPAL3 accelerometers. Physical activity measures included average daily metabolic equivalent (MET)‐hours, total step count and minutes spent stepping as well as average daily percentage of time (%) spent performing sedentary, light‐intensity and moderate‐to‐vigorous physical activities. We obtained cortical thickness estimates from 3T MRI scans using FreeSurfer. The association of physical activity and cortical thickness was examined using multivariable regression, with physical activity as independent and cortical thickness as dependent variables, while adjusting for age, sex, education and smoking status. Using gene expression profiles from the Allen Brain Atlas, we subsequently assessed which molecular signatures were associated with vertex‐wise effects of physical activity on cortical thickness. Result More daily MET‐hours and step minutes were associated with higher mean precentral thickness (standardised effects: MET‐hours, ß=0.01 mm 2 /hour, 95% CI: 0.001–0.019; step counts, ß=0.01 mm 2 /3145 steps, 95% CI: 0.001–0.019). However, mean lateral‐occipital thickness decreased by 0.018 mm 2 (95% CI: ‐0.027 – ‐0.01) for each standard deviation increase in %time spent in light‐intensity activities. Whole brain vertex‐wise analysis demonstrated that higher physical activity levels were related to larger cortical thickness in frontal and temporal areas, but lower cortical thickness in parietal and occipital areas. The largest positive effects were observed in regions enriched for genes involved in mitochondrial respiration. Conclusion Physical activity is associated with cortical thickness, but its effect is not uniform across the brain. Physical activity may particularly benefit cortical regions with a relatively high oxidative demand.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2201940-6
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  • 2
    In: Neurology, Ovid Technologies (Wolters Kluwer Health), Vol. 99, No. 11 ( 2022-09-13), p. e1202-e1215
    Abstract: While there is growing evidence that physical activity promotes neuronal health, studies examining the relation between physical activity and brain morphology remain inconclusive. We therefore examined whether objectively quantified physical activity is related to brain volume, cortical thickness, and gray matter density in a large cohort study. In addition, we assessed molecular pathways that may underlie the effects of physical activity on brain morphology. Methods We used cross-sectional baseline data from 2,550 eligible participants (57.6% women; mean age: 54.7 years, range: 30–94 years) of a prospective cohort study. Physical activity dose (metabolic equivalent hours and step counts) and intensity (sedentary and light-intensity and moderate-to-vigorous intensity activities) were recorded with accelerometers. Brain volumetric, gray matter density, and cortical thickness measures were obtained from 3T MRI scans using FreeSurfer and Statistical Parametric Mapping. The relation of physical activity (independent variable) and brain structure (outcome) was examined with polynomial multivariable regression, while adjusting for age, sex, intracranial volume, education, and smoking. Using gene expression profiles from the Allen Brain Atlas, we extracted molecular signatures associated with the effects of physical activity on brain morphology. Results Physical activity dose and intensity were independently associated with larger brain volumes, gray matter density, and cortical thickness of several brain regions. The effects of physical activity on brain volume were most pronounced at low physical activity quantities and differed between men and women and across age. For example, more time spent in moderate-to-vigorous intensity activities was associated with greater total gray matter volume, but the relation leveled off with more activity (standardized β [95% CIs]: 1.37 [0.35–2.39] and −0.70 [−1.25 to −0.15] for the linear and quadratic terms, respectively). The strongest effects of physical activity were observed in motor regions and cortical regions enriched for genes involved in mitochondrial respiration. Discussion Our findings suggest that physical activity benefits brain health, with the strongest effects in motor regions and regions with a high oxidative demand. While young adults may particularly profit from additional high-intensity activities, older adults may already benefit from light-intensity activities. Physical activity and reduced sedentary time may be critical in the prevention of age-associated brain atrophy and neurodegenerative diseases.
    Type of Medium: Online Resource
    ISSN: 0028-3878 , 1526-632X
    RVK:
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2022
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  • 3
    In: Alzheimer's & Dementia, Wiley, Vol. 16, No. S5 ( 2020-12)
    Abstract: Physical activity is associated with a reduced risk of dementia. Although physical activity induces potent neuroprotective effects in animals, human studies assessing its effects on brain structure are sparse and inconclusive. The discrepancies in human studies may have been due to application of subjective physical activity measures, low spatial‐resolution imaging or small sample sizes. Therefore, we aimed to assess whether objectively quantified physical activity levels are associated with detailed measures of brain structure in a large cohort study. Method Our analyses were based on data of the first 4,000 participants (56.6% female, mean age: 55.2 years (range 30 – 95 years)) of the Rhineland Study, a population‐based prospective cohort study in Bonn, Germany. Free‐living physical activity over seven days was continuously measured using the ActivPAL™ accelerometer. Average daily physical activity measures included metabolic equivalent (MET)‐hours, total step count, as well as minutes spent stepping or performing light and moderate‐to‐vigorous physical activities. Grey matter (GM), white matter (WM) and total brain volume (TBV) estimates were obtained from 3T MRI scans using FreeSurfer. Multivariable regression models were used to examine the association between physical activity and brain structure, with physical activity levels as independent and brain structure measures as dependent variables, while adjusting for age, sex, intracranial volume, education and smoking status. Result Daily MET‐hours were associated with all volumetric measures of brain structure (effect estimates [in cm 3 /hour] for TBV: ß=2.36, 95% CI: 1.05 – 3.67; GM: ß=0.82, 95% CI: 0.15 – 1.50; WM: ß=0.97, 95% CI: 0.08 – 1.85). Importantly, we found a significant interaction between the effects of MET‐hours and age on TBV: in participants below median age the effect of MET‐hours on TBV was 0.28 cm 3 /hour (95% CI: ‐1.40 – 1.97), while in those above median age the effect was 2.01 cm 3 /hour (95% CI: 0.08–3.94). Overall, we obtained comparable findings for other physical activity measures as well (data not shown). Conclusion Physical activity was consistently associated with grey matter, white matter and total brain volumes in a large cohort of individuals from the general population. These findings suggest that promoting physical activity could be critical in the prevention of age‐associated brain atrophy.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2201940-6
    Location Call Number Limitation Availability
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