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Publications

Improved Interpretability of Brain-Behavior CCA With Domain-Driven Dimension Reduction.

Liu Z. et al, (2022), Frontiers in neuroscience, 16

Multiple Sclerosis disease states as identified by unsupervised machine learning on multimodal longitudinal patient trajectories

Ganjgahi H. et al, (2022), MULTIPLE SCLEROSIS JOURNAL, 28, 979 - 980

Reliability of multi-site UK Biobank MRI brain phenotypes for the assessment of neuropsychiatric complications of SARS-CoV-2 infection: The COVID-CNS travelling heads study.

Duff E. et al, (2022), PloS one, 17

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

Kochunov P. et al, (2022), Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 27, 133 - 143

Structural Brain Correlates of Childhood Inhibited Temperament: An ENIGMA-Anxiety Mega-analysis

Bas-Hoogendam JM. et al, (2022), Journal of the American Academy of Child and Adolescent Psychiatry

Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project.

Gao S. et al, (2021), NeuroImage, 245

Discussion on "distributional independent component analysis for diverse neuroimaging modalities" by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo.

Keeratimahat K. and Nichols TE., (2021), Biometrics

Penalized generalized estimating equations for relative risk regression with applications to brain lesion data

Kindalova P. et al, (2021)

Isolating the sources of Pipeline-Variability in Group-Level Task-fMRI results

NICHOLS T., (2021), Human Brain Mapping

Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis.

Mallon A-M. et al, (2021), BMC medical research methodology, 21

Characterisation of MS phenotypes across the age span using a novel data set integrating 34 clinical trials (NO.MS cohort): Age is a key contributor to presentation.

Dahlke F. et al, (2021), Multiple sclerosis (Houndmills, Basingstoke, England), 27, 2062 - 2076

HEALTHIER CMR PHENOTYPES ARE LINKED TO FAVOURABLE BRAIN MRI STRUCTURE AND FUNCTION METRICS IN THE UK BIOBANK

McCracken C. et al, (2021), HEART, 107, A4 - A5

Reassessing associations between white matter and behaviour with multimodal microstructural imaging.

Lazari A. et al, (2021), Cortex, 145, 187 - 200

Isolating the Sources of Pipeline-Variability in Group-Level Task-fMRI results

Bowring A. et al, (2021)

Improved Interpretability of Brain-Behavior CCA with Domain-driven Dimension Reduction

Liu Z. et al, (2021)

Fisher Scoring for crossed factor Linear Mixed Models

MAULLIN-SAPEY T. and NICHOLS T., (2021), Statistics and Computing

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

Delbarre D. et al, (2021)

Meaningful Associations in the Adolescent Brain Cognitive Development Study.

Dick AS. et al, (2021), NeuroImage

Associations of cognitive performance with cardiovascular magnetic resonance phenotypes in the UK Biobank.

Raisi-Estabragh Z. et al, (2021), European heart journal. Cardiovascular Imaging

Pitfalls in Brain Age Analyses

NICHOLS T., (2021), Human Brain Mapping

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