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Publications

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

Erratum: Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product.

Kochunov P. et al, (2023), Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 28

Multi-Task Cooperative Learning via Searching for Flat Minima.

Wu F. et al, (2023), CoRR, abs/2309.12090

Partitioning variance in cortical morphometry into genetic, environmental, and subject-specific components using a large adolescent sample

Smith D. et al, (2023)

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

Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses.

Topiwala A. et al, (2022), PLoS medicine, 19

The expected behaviour of random fields in high dimensions: contradictions in the results of Bansal and Peterson [].

Davenport S. and Nichols TE., (2022), Magnetic resonance imaging, 90, 70 - 75

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