Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Publications

Confound modelling in UK Biobank brain imaging.

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

Confidence Sets for Cohen’s d Effect Size Images

Bowring A. et al, (2020)

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

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

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

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

Confound modelling in UK Biobank brain imaging

Alfaro-Almagro F. et al, (2020)

Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations.

Smith SM. et al, (2020), Elife, 9

Guidelines for the content and format of PET brain data in publications and archives: A consensus paper.

Knudsen GM. et al, (2020), J Cereb Blood Flow Metab

Standardized Effect Sizes and Image-Based Meta-Analytical Approaches for fMRI Data

Bossier H. et al, (2019)

Spatial confidence sets for raw effect size images

Bowring A. et al, (2019), NeuroImage, 203

The harmonic mean p-value: Strong versus weak control, and the assumption of independence.

Goeman JJ. et al, (2019), Proc Natl Acad Sci U S A, 116, 23382 - 23383

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

Botvinik-Nezer R. et al, (2019)

Estimation of brain age delta from brain imaging.

Smith SM. et al, (2019), Neuroimage, 200, 528 - 539

Discovering markers of healthy aging: a prospective study in a Danish male birth cohort.

Zarnani K. et al, (2019), Aging (Albany NY), 11, 5943 - 5974

Towards Algorithmic Analytics for Large-scale Datasets.

Bzdok D. et al, (2019), Nat Mach Intell, 1, 296 - 306

Effective degrees of freedom of the Pearson's correlation coefficient under autocorrelation.

Afyouni S. et al, (2019), Neuroimage

Structural variability in the human brain reflects fine-grained functional architecture at the population level.

Smith S. et al, (2019), J Neurosci

Spatial Confidence Sets for Raw Effect Size Images

Bowring A. et al, (2019)

Exploring the impact of analysis software on task fMRI results.

Bowring A. et al, (2019), Hum Brain Mapp

Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates.

Eklund A. et al, (2019), Hum Brain Mapp, 40, 2017 - 2032

Genomic kinship construction to enhance genetic analyses in the human connectome project data.

Kochunov P. et al, (2019), Hum Brain Mapp, 40, 1677 - 1688

Load More

1
2
3
4
5
6
7
...
»

Include forthcoming?