| Home > In process > Multivariate associations of motor performance, sleep quality, depressive symptoms, and grey matter volume in younger and mid-to-older adults. > print |
| 001 | 283185 | ||
| 005 | 20260114093115.0 | ||
| 024 | 7 | _ | |a 10.1038/s41598-025-34951-y |2 doi |
| 024 | 7 | _ | |a pmid:41519920 |2 pmid |
| 037 | _ | _ | |a DZNE-2026-00064 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 600 |
| 100 | 1 | _ | |a Küppers, Vincent |b 0 |
| 245 | _ | _ | |a Multivariate associations of motor performance, sleep quality, depressive symptoms, and grey matter volume in younger and mid-to-older adults. |
| 260 | _ | _ | |a [London] |c 2026 |b Springer Nature |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1768379320_5651 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a Motor 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. |
| 536 | _ | _ | |a 353 - Clinical and Health Care Research (POF4-353) |0 G:(DE-HGF)POF4-353 |c POF4-353 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de |
| 650 | _ | 7 | |a Brain structure |2 Other |
| 650 | _ | 7 | |a Canonical correlation analysis |2 Other |
| 650 | _ | 7 | |a Depressive symptoms |2 Other |
| 650 | _ | 7 | |a Mental health |2 Other |
| 650 | _ | 7 | |a Motor behavior |2 Other |
| 650 | _ | 7 | |a Sleep quality |2 Other |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Gray Matter: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Gray Matter: pathology |2 MeSH |
| 650 | _ | 2 | |a Male |2 MeSH |
| 650 | _ | 2 | |a Female |2 MeSH |
| 650 | _ | 2 | |a Depression: physiopathology |2 MeSH |
| 650 | _ | 2 | |a Adult |2 MeSH |
| 650 | _ | 2 | |a Middle Aged |2 MeSH |
| 650 | _ | 2 | |a Sleep Quality |2 MeSH |
| 650 | _ | 2 | |a Aged |2 MeSH |
| 650 | _ | 2 | |a Young Adult |2 MeSH |
| 650 | _ | 2 | |a Magnetic Resonance Imaging |2 MeSH |
| 650 | _ | 2 | |a Aging: physiology |2 MeSH |
| 650 | _ | 2 | |a Connectome |2 MeSH |
| 650 | _ | 2 | |a Brain |2 MeSH |
| 700 | 1 | _ | |a Bi, Hanwen |b 1 |
| 700 | 1 | _ | |a Nicolaisen-Sobesky, Eliana |b 2 |
| 700 | 1 | _ | |a Hoffstaedter, Felix |b 3 |
| 700 | 1 | _ | |a Yeo, B T Thomas |b 4 |
| 700 | 1 | _ | |a Drzezga, Alexander |0 P:(DE-2719)2811239 |b 5 |u dzne |
| 700 | 1 | _ | |a Eickhoff, Simon B |b 6 |
| 700 | 1 | _ | |a Tahmasian, Masoud |b 7 |
| 773 | _ | _ | |a 10.1038/s41598-025-34951-y |g Vol. 16, no. 1, p. 1318 |0 PERI:(DE-600)2615211-3 |n 1 |p 1318 |t Scientific reports |v 16 |y 2026 |x 2045-2322 |
| 856 | 4 | _ | |u https://pub.dzne.de/record/283185/files/DZNE-2026-00064.pdf |y Restricted |
| 856 | 4 | _ | |u https://pub.dzne.de/record/283185/files/DZNE-2026-00064.pdf?subformat=pdfa |x pdfa |y Restricted |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 5 |6 P:(DE-2719)2811239 |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-353 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Clinical and Health Care Research |x 0 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b SCI REP-UK : 2022 |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2024-07-29T15:28:26Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2024-07-29T15:28:26Z |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Anonymous peer review |d 2024-07-29T15:28:26Z |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2024-12-18 |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1040 |2 StatID |b Zoological Record |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1150 |2 StatID |b Current Contents - Physical, Chemical and Earth Sciences |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2024-12-18 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2024-12-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2024-12-18 |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |d 2024-12-18 |
| 915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2024-12-18 |
| 915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2024-12-18 |
| 920 | 1 | _ | |0 I:(DE-2719)1011202 |k AG Boecker |l Positron Emissions Tomography (PET) |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a EDITORS |
| 980 | _ | _ | |a VDBINPRINT |
| 980 | _ | _ | |a I:(DE-2719)1011202 |
| 980 | _ | _ | |a UNRESTRICTED |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|