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000283185 1001_ $$aKüppers, Vincent$$b0
000283185 245__ $$aMultivariate associations of motor performance, sleep quality, depressive symptoms, and grey matter volume in younger and mid-to-older adults.
000283185 260__ $$a[London]$$bSpringer Nature$$c2026
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000283185 520__ $$aMotor performance (MP) is essential for maintaining functional independence, particularly in later life. However, the relationship between MP and sleep quality, depressive symptoms, and their underlying brain substrates remains obscure. We employed four samples of younger/mid-to-older adults (n = 1,954) from the Human Connectome Project-Young Adult (HCP-YA), HCP-Aging (HCP-A), and enhanced Nathan Kline Institute-Rockland sample (eNKI-RS) to assess the replicability of our findings. Using canonical correlation analyses within a machine learning framework, we investigated the associations of sleep quality, depressive symptoms, and grey matter volume (GMV) with MP. In the combined model of the HCP-YA sample, a canonical variate of better sleep, mild, sub-clinical depressive symptoms, and altered GMV of several cortical (including precentral and fusiform gyrus), thalamus, and cerebellar brain regions was associated with a canonical variate of better MP (r = 0.2, SD = 0.05). This pattern was conceptually replicated in the young eNKI-RS sample (r = 0.25, SD = 0.13). In the HCP-A sample, a variate of better sleep quality, fewer depressive symptoms, and increased GMV was associated with a variate of MP (r = 0.18, SD = 0.1), but these findings did not replicate in the mid-to-older eNKI-RS sample (r = 0, SD = 0.12). Across all samples, variates of increased GMV were associated with variates of better MP, suggesting potential neuroanatomical underpinnings. We observed age-related variations in the multivariate associations between sleep quality, depressive symptoms, and GMV with MP.
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000283185 650_7 $$2Other$$aBrain structure
000283185 650_7 $$2Other$$aCanonical correlation analysis
000283185 650_7 $$2Other$$aDepressive symptoms
000283185 650_7 $$2Other$$aMental health
000283185 650_7 $$2Other$$aMotor behavior
000283185 650_7 $$2Other$$aSleep quality
000283185 650_2 $$2MeSH$$aHumans
000283185 650_2 $$2MeSH$$aGray Matter: diagnostic imaging
000283185 650_2 $$2MeSH$$aGray Matter: pathology
000283185 650_2 $$2MeSH$$aMale
000283185 650_2 $$2MeSH$$aFemale
000283185 650_2 $$2MeSH$$aDepression: physiopathology
000283185 650_2 $$2MeSH$$aAdult
000283185 650_2 $$2MeSH$$aMiddle Aged
000283185 650_2 $$2MeSH$$aSleep Quality
000283185 650_2 $$2MeSH$$aAged
000283185 650_2 $$2MeSH$$aYoung Adult
000283185 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000283185 650_2 $$2MeSH$$aAging: physiology
000283185 650_2 $$2MeSH$$aConnectome
000283185 650_2 $$2MeSH$$aBrain
000283185 7001_ $$aBi, Hanwen$$b1
000283185 7001_ $$aNicolaisen-Sobesky, Eliana$$b2
000283185 7001_ $$aHoffstaedter, Felix$$b3
000283185 7001_ $$aYeo, B T Thomas$$b4
000283185 7001_ $$0P:(DE-2719)2811239$$aDrzezga, Alexander$$b5$$udzne
000283185 7001_ $$aEickhoff, Simon B$$b6
000283185 7001_ $$aTahmasian, Masoud$$b7
000283185 773__ $$0PERI:(DE-600)2615211-3$$a10.1038/s41598-025-34951-y$$gVol. 16, no. 1, p. 1318$$n1$$p1318$$tScientific reports$$v16$$x2045-2322$$y2026
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