Publications

Premorbid brain structure influences risk of amyotrophic lateral sclerosis.

Thompson AG. et al, (2023), J Neurol Neurosurg Psychiatry

Evaluating functional brain organization in individuals and identifying contributions to network overlap

BIJSTERBOSCH JD. et al, (2023), Imaging Neuroscience, 1

Association of Gout with Brain Reserve and Vulnerability to Neurodegenerative Disease

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

Genetic architecture of brain age and its casual relations with brain and mental disorders.

Leonardsen EH. et al, (2023), Mol Psychiatry

Functional connectivity between interoceptive brain regions is associated with distinct health-related domains: A population-based neuroimaging study.

Luettich A. et al, (2023), Hum Brain Mapp

Structural and functional asymmetry of the neonatal cerebral cortex.

Williams LZJ. et al, (2023), Nat Hum Behav

A Transfer Learning Approach to Localising a Deep Brain Stimulation Target

Zheng YQ. et al, (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14228 LNCS, 176 - 185

Brain Ages Derived from Different MRI Modalities are Associated with Distinct Biological Phenotypes

Roibu AC. et al, (2023), Proceedings - 2023 10th IEEE Swiss Conference on Data Science, SDS 2023, 17 - 25

Telomere length and brain imaging phenotypes in UK Biobank.

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

ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.

Bass C. et al, (2022), IEEE Trans Med Imaging, PP

Challenges for machine learning in clinical translation of big data imaging studies.

Dinsdale NK. et al, (2022), Neuron

Relationship between nuclei-specific amygdala connectivity and mental health dimensions in humans.

Klein-Flügge MC. et al, (2022), Nat Hum Behav

Deep neural networks learn general and clinically relevant representations of the ageing brain.

Leonardsen EH. et al, (2022), Neuroimage, 256

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

Topiwala A. et al, (2022), Mol 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 Med, 19

Accurate predictions of individual differences in task-evoked brain activity from resting-state fMRI using a sparse ensemble learner.

Zheng Y-Q. et al, (2022), Neuroimage

Causal inference on neuroimaging data with Mendelian randomisation.

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

Graded Variation In T1w/T2w Ratio During Adolescence: Measurement, Caveats, and Implications for Development of Cortical Myelin.

Baum GL. et al, (2022), J Neurosci

Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging.

Wang C. et al, (2022), Nat Neurosci, 25, 818 - 831

Correction: Individual variations in 'Brain Age' relate to early-life factors more than to longitudinal brain change.

Vidal-Pineiro D. et al, (2022), Elife, 11

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Publications