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Search results (437)

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PANDORA: Population Archive of Neuroimaging Data Organized for Rapid Analysis

Abivardi A. et al, (2026)

UK Biobank at 20 years old: a growing, global resource for dementia research

ALLEN N. et al, (2025), Nature Reviews Neurology

Brain Perfusion Imaging of a Large Population: Arterial Spin Labelling MRI in UK Biobank

Okell TW. et al, (2025)

Brain Perfusion Imaging of a Large Population: Arterial Spin Labelling MRI in UK Biobank

Okell TW. et al, (2025)

Biomarkers.

Bhalerao GV. et al, (2025), Alzheimer's & dementia : the journal of the Alzheimer's Association, 21 Suppl 2

Independent Filter Analysis for Group Discrimination in fMRI.

Souweidane Z. et al, (2025), bioRxiv

Cohort profile: characterisation, determinants, mechanisms and consequences of the long-term effects of COVID-19 - providing the evidence base for health care services (CONVALESCENCE) in the UK.

Jamieson A. et al, (2025), BMJ open, 15

ssessing the impact of COmorbidities and Sociodemographic factors on Multiorgan Injury following COVID-19: rationale and protocol design of COSMIC, a UK multicentre observational study of COVID-negative controls.

Shergill S. et al, (2025), BMJ open, 15

generative model for evaluating missing data methods in large epidemiological cohorts.

Radosavljević L. et al, (2025), BMC medical research methodology, 25

From Big Data to the Clinic: Methodological and Statistical Enhancements to Implement the UK Biobank Imaging Framework in a Memory Clinic.

Gillis G. et al, (2025), Human brain mapping, 46

Brain Perfusion Imaging of a Large Population: Arterial Spin Labelling MRI in UK Biobank

Okell T. et al, (2025)

The developing Human Connectome Project fetal functional MRI release: Methods and data structures.

Karolis VR. et al, (2025), Imaging neuroscience (Cambridge, Mass.), 3

Characterising ongoing brain aging and baseline effects from cross-sectional data.

Smith SM. et al, (2025), Imaging neuroscience (Cambridge, Mass.), 3

Posthospitalization COVID-19 cognitive deficits at 1 year are global and associated with elevated brain injury markers and gray matter volume reduction.

Wood GK. et al, (2025), Nature medicine, 31, 245 - 257

Statistical Analysis of fMRI Data

Woolrich MW. et al, (2025), 220, 193 - 252

Stacking models of brain dynamics to improve prediction of subject traits in fMRI.

Griffin B. et al, (2024), Imaging neuroscience (Cambridge, Mass.), 2, 1 - 22

Structural correlations between brain magnetic resonance image-derived phenotypes and retinal neuroanatomy.

Sun Z. et al, (2024), European journal of neurology, 31

Individualised prediction of longitudinal change in multimodal brain imaging.

Gong W. et al, (2024), Imaging neuroscience (Cambridge, Mass.), 2, 1 - 19

Multiscale Modes of Functional Brain Connectivity.

Farahibozorg SR. et al, (2024), bioRxiv

The effects of genetic and modifiable risk factors on brain regions vulnerable to ageing and disease.

Manuello J. et al, (2024), Nature communications, 15

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