Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Publications

Cluster extent inference revisited: quantification and localization of brain activity

NICHOLS T., (2023), Journal of the Royal Statistical Society

Integrating at-scale health data into doctoral training (Preprint)

Nichols TE. et al, (2023)

Association of Gout with Brain Reserve and Vulnerability to Neurodegenerative Disease

TOPIWALA A. et al, (2023), Nature Communications

Conceptual overview of biological age estimation

NICHOLS T., (2023), Aging and Disease

Image-Based Biological Heart Age Estimation Reveals Differential Aging Patterns Across Cardiac Chambers.

Salih AM. et al, (2023), Journal of magnetic resonance imaging : JMRI

Reply to: Multivariate BWAS can be replicable with moderate sample sizes.

Tervo-Clemmens B. et al, (2023), Nature, 615, E8 - E12

The effect of d-cycloserine on brain processing of breathlessness over pulmonary rehabilitation: an experimental medicine study.

Finnegan SL. et al, (2023), ERJ Open Res, 9

Solving the BWAS reproducibility crisis requires large samples

NICHOLS T., (2023), Nature

Brain deficit patterns of metabolic illnesses overlap with those for major depressive disorder: A new metric of brain metabolic disease.

Hatch KS. et al, (2023), Hum Brain Mapp

Erratum: Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product (Pacific Symposium on Biocomputing (2022) (133-143) DOI: 10.1142/9789811250477_0013)

Kochunov P. et al, (2023), Pacific Symposium on Biocomputing

Telomere length and brain imaging phenotypes in UK Biobank.

Topiwala A. et al, (2023), PLoS One, 18

Multi-organ imaging demonstrates the heart-brain-liver axis in UK Biobank participants

McCracken C. et al, (2022), Nature Communications, 13

Association between brain similarity to severe mental illnesses and comorbid cerebral, physical, and cognitive impairments.

Ma Y. et al, (2022), NeuroImage

BLMM: Parallelised computing for big linear mixed models

Maullin-Sapey T. and Nichols TE., (2022), NeuroImage, 264, 119729 - 119729

Cerebral blood flow and cardiovascular risk effects on resting brain regional homogeneity.

Adhikari BM. et al, (2022), NeuroImage, 262

Application of a convolutional neural network to the quality control of MRI defacing.

Delbarre DJ. et al, (2022), Computers in biology and medicine, 151

Causal inference on neuroimaging data with Mendelian randomisation.

Taschler B. et al, (2022), NeuroImage, 258

How patients with multiple sclerosis acquire disability.

Lublin FD. et al, (2022), Brain : a journal of neurology, 145, 3147 - 3161

Brain-wide versus genome-wide vulnerability biomarkers for severe mental illnesses.

Kochunov P. et al, (2022), Human brain mapping

Alcohol consumption and telomere length: Mendelian randomization clarifies alcohol's effects.

Topiwala A. et al, (2022), Molecular psychiatry

Load More

1
2
3
4
5
6
7
...
»

Include forthcoming?