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Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Classification accuracy of structural and functional connectomes across different depressive phenotypesHon Wah Yeung, Aleks Stolicyn, Xueyi Shen, et al.
Psychology and Aging|April 17, 2018
Cognitive ability does not predict objectively measured sedentary behavior: Evidence from three older cohortsIva Čukić, Richard Shaw, Geoff Der, et al.
Brain Communications|May 14, 2023
Predictive blood biomarkers and brain changes associated with age-related cognitive declineTyler S Saunders, Francesca E Pozzolo, Amanda Heslegrave, et al.
International Journal of Geriatric Psychiatry|December 9, 2022
Are neuropsychiatric symptoms a marker of small vessel disease progression in older adults? Evidence from the Lothian Birth Cohort 1936Una Clancy, Ratko Radakovic, Fergus Doubal, et al.
Human Brain Mapping|November 16, 2017
Cognitive abilities, brain white matter hyperintensity volume, and structural network connectivity in older ageStewart J Wiseman, Tom Booth, Stuart J Ritchie, et al.
Brain Imaging and Behavior|March 24, 2019
Association between APOE e4 and white matter hyperintensity volume, but not total brain volume or white matter integrityDonald M Lyall, Simon R Cox, Laura M Lyall, et al.
Biological Psychiatry|June 8, 2019
Impact of Polygenic Risk for Schizophrenia on Cortical Structure in UK BiobankEmma Neilson, Xueyi Shen, Simon R Cox, et al.
BMC Psychiatry|May 1, 2023
Identifying dementia using medical data linkage in a longitudinal cohort study: Lothian Birth Cohort 1936Donncha S Mullin, Lucy E Stirland, Emily Buchanan, et al.
Genome Biology|December 5, 2023
Integration of datasets for individual prediction of DNA methylation-based biomarkersCharlotte Merzbacher, Barry Ryan, Thibaut Goldsborough, et al.
Aging|December 6, 2017
Age-related gene expression changes, and transcriptome wide association study of physical and cognitive aging traits, in the Lothian Birth Cohort 1936Sarah E Harris, Valentina Riggio, Louise Evenden, et al.
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