Publications based on other datasets

2024

Jaggi, A., et al. (2024). A structural heart-brain axis mediates the association between cardiovascular risk and cognitive function. Imaging Neuroscience. https://doi.org/10.1162/imag_a_00063

Thng, G. et al. (2024). A comprehensive hierarchical comparison of structural connectomes in Major Depressive Disorder cases v. Controls in two large population samples. Psychological Medicine. https://doi.org/10.1017/S0033291724000643

Yeung, H. W., et al. (2024). Classification accuracy of structural and functional connectomes across different depressive phenotypes. Imaging Neuroscience. https://doi.org/10.1162/imag_a_00064

2023

Conole, E. L. S., et al. (2023). Immuno-epigenetic signature derived in saliva associates with the encephalopathy of prematurity and perinatal inflammatory disorders. Brain, Behavior, and Immunity. https://doi.org/10.1016/j.bbi.2023.03.011

Cox, S. R., & Welstead, M. (2023). Steps in the right direction for physical frailty research. The Lancet Digital Health. https://doi.org/10.1016/S2589-7500(23)00066-3

Duthie, A. C., et al. (2023). Low-level lithium in drinking water and subsequent risk of dementia: Cohort study. International Journal of Geriatric Psychiatry. https://doi.org/10.1002/gps.5890

Fürtjes, A. E., et al. (2023). General dimensions of human brain morphometry inferred from genome-wide association data. Human Brain Mapping. https://doi.org/10.1002/hbm.26283

Fürtjes, A. E. (2023). Lessons from complex trait genetics may help us overcome the neuroimaging replication crisis. Cortex. https://doi.org/10.1016/j.cortex.2023.08.003

Madole, J. W., et al. (2023). Strong intercorrelations among global graph-theoretic indices of structural connectivity in the human brain. NeuroImage. https://doi.org/10.1016/j.neuroimage.2023.120160

McLachlan, J., et al. (2023). Long-term exposure to air pollution and cognitive function in older adults: A systematic review and meta-analysis. Frontiers in Environmental Health. https://doi.org/10.3389/fenvh.2023.1205443

Mur, J., et al. (2023). Anticholinergic burden in middle and older age is associated with lower cognitive function, but not with brain atrophy. British Journal of Clinical Pharmacology. https://doi.org/10.1111/bcp.15698

Parra-Martinez, F. A., et al. (2023). The Evolution of Intelligence: Analysis of the Journal of Intelligence and Intelligence. Journal of Intelligence. https://doi.org/10.3390/jintelligence11020035

Yeung, H. W., et al. (2023). Predicting sex, age, general cognition and mental health with machine learning on brain structural connectomes. Human Brain Mapping. https://doi.org/10.1002/hbm.26182

2022

Batty, G. D., et al. (2022). Pre-pandemic mental and physical health as predictors of COVID-19 vaccine hesitancy: Evidence from a UK-wide cohort study. Annals of Medicine. https://doi.org/10.1080/07853890.2022.2027007

Bøstrand, S. M. K., et al. (2022). Associations between alcohol use and accelerated biological ageing. Addiction Biology. https://doi.org/10.1111/adb.13100

Cox, S. R., & Deary, I. J. (2022). Brain and cognitive ageing: The present, and some predictions (…about the future). Aging Brain. https://doi.org/10.1016/j.nbas.2022.100032

Fawns-Ritchie, C., et al. (2022). Psychological correlates of free colorectal cancer screening uptake in a Scottish sample: A cross-sectional observational study. BMJ Open. https://doi.org/10.1136/bmjopen-2020-042210

Fawns-Ritchie, C., Price, J., & Deary, I. J. (2022). Association of functional health literacy and cognitive ability with self-reported diabetes in the English Longitudinal Study of Ageing: A prospective cohort study. BMJ Open. https://doi.org/10.1136/bmjopen-2021-058496

Gadd, D. A., et al. (2022). Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health. Nature Communications.

Harris, M. A., et al. (2022). Structural neuroimaging measures and lifetime depression across levels of phenotyping in UK Biobank. Translational Psychiatry. https://doi.org/10.1038/s41398-022-01926-w

Hillary, R., et al. (2022). Genome and epigenome wide studies of plasma protein biomarkers for Alzheimer’s disease implicate TBCA and TREM2 in disease risk. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring.

Howard, D. M., et al. (2022). Methylome-wide association study of early life stressors and adult mental health. Human Molecular Genetics. https://doi.org/10.1093/hmg/ddab274

Mur, J., Cox, S. R., Marioni, R. E., Muniz‐terrera, G., & Russ, T. C. (2022). Increase in anticholinergic burden from 1990 to 2015: Age‐period‐cohort analysis in UK Biobank. British Journal of Clinical Pharmacology. https://doi.org/10.1111/bcp.15045

Mur, J., Terrera, G., Russ, T., Marioni, R. E., & Cox, S. R. (2022). Association between anticholinergic burden and dementia in UK Biobank. Alzheimer’s and Dementia: Translational Research and Clinical Interventions.

Rakshasa-Loots, A. M., Whalley, H. C., Vera, J. H., & Cox, S. R. (2022). Neuroinflammation in HIV-associated depression: Evidence and future perspectives. Molecular Psychiatry. https://doi.org/10.1038/s41380-022-01619-2

Richard, E. L., et al. (2022). Markers of kidney function, genetic variation related to cognitive function, and cognitive performance in the UK Biobank. BMC Nephrology. https://doi.org/10.1186/s12882-022-02750-6

Temprano-Sagrera, G., et al. (2022). Multi-phenotype analyses of hemostatic traits with cardiovascular events reveal novel genetic associations. Journal of Thrombosis and Haemostasis. https://doi.org/10.1111/jth.15698

Thalamuthu, A., et al. (2022). Genome-wide interaction study with major depression identifies novel variants associated with cognitive function. Molecular Psychiatry. https://doi.org/10.1038/s41380-021-01379-5

Vaher, K., et al. (2022). General factors of white matter microstructure from DTI and NODDI in the developing brain. NeuroImage. https://doi.org/10.1016/j.neuroimage.2022.119169

Wheater, E. N. W., et al. (2022). DNA methylation in relation to gestational age and brain dysmaturation in preterm infants. Brain Communications. https://doi.org/10.1093/braincomms/fcac056