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Publications

Pitfalls in Brain Age Analyses

NICHOLS T., (2021), Human Brain Mapping

Voxel-wise and spatial modelling of binary lesion masks: Comparison of methods with a realistic simulation framework

Kindalova P. et al, (2021), NeuroImage, 118090 - 118090

Heterogeneous relationships between white matter and behaviour

Lazari A. et al, (2020)

Shared and Anxiety-Specific Pediatric Psychopathology Dimensions Manifest Distributed Neural Correlates.

Linke JO. et al, (2020), Biol Psychiatry

Confidence Sets for Cohen's d Effect Size Images.

Bowring A. et al, (2020), Neuroimage

An interactive meta-analysis of MRI biomarkers of myelin.

Mancini M. et al, (2020), Elife, 9

Conﬁdence Sets for Cohen’s d Eﬀect Size Images

Bowring A. and NICHOLS T., (2020), NeuroImage

The genetics-BIDS extension: Easing the search for genetic data associated with human brain imaging.

Moreau CA. et al, (2020), Gigascience, 9

Cerebrovascular risk factors impact frontoparietal network integrity and executive function in healthy ageing.

Veldsman M. et al, (2020), Nat Commun, 11

Estimating the prevalence of missing experiments in a neuroimaging meta-analysis

NICHOLS T., (2020), Research Synthesis Methods

Discovering correlates of age - related decline in a healthy late - midlife male birth cohort

NICHOLS T. et al, (2020), Aging

Spatial distribution and cognitive impact of cerebrovascular risk-related white matter hyperintensities

Veldsman M. et al, (2020)

Confound modelling in UK Biobank brain imaging.

Alfaro-Almagro F. et al, (2020), Neuroimage

Quantifying uncertainty in brain-predicted age using scalar-on-image quantile regression.

Palma M. et al, (2020), NeuroImage, 219

Variability in the analysis of a single neuroimaging dataset by many teams.

Botvinik-Nezer R. et al, (2020), Nature, 582, 84 - 88

Confidence Sets for Cohen’s d Effect Size Images

Bowring A. et al, (2020)

Developmental maturation of inhibitory control circuitry in a high-risk sample: A longitudinal fMRI study

NICHOLS T., (2020), Developmental Cognitive Neuroscience

Selective peak inference: Unbiased estimation of raw and standardized effect size at local maxima.

Davenport S. and Nichols TE., (2020), Neuroimage, 209

Multiple testing correction over contrasts for brain imaging

NICHOLS T., (2020), NeuroImage

Confound modelling in UK Biobank brain imaging

Alfaro-Almagro F. et al, (2020)

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