[HTML][HTML] Classification and characterization of periventricular and deep white matter hyperintensities on MRI: a study in older adults

L Griffanti, M Jenkinson, S Suri, E Zsoldos, A Mahmood… - Neuroimage, 2018 - Elsevier
White matter hyperintensities (WMH) are frequently divided into periventricular (PWMH) and
deep (DWMH), and the two classes have been associated with different cognitive …

[HTML][HTML] An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging

JLR Andersson, SN Sotiropoulos - Neuroimage, 2016 - Elsevier
In this paper we describe a method for retrospective estimation and correction of eddy
current (EC)-induced distortions and subject movement in diffusion imaging. In addition a …

Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images

JLR Andersson, MS Graham, E Zsoldos… - Neuroimage, 2016 - Elsevier
Despite its great potential in studying brain anatomy and structure, diffusion magnetic
resonance imaging (dMRI) is marred by artefacts more than any other commonly used MRI …

Moderate alcohol consumption as risk factor for adverse brain outcomes and cognitive decline: longitudinal cohort study

A Topiwala, CL Allan, V Valkanova, E Zsoldos… - bmj, 2017 - bmj.com
Objectives To investigate whether moderate alcohol consumption has a favourable or
adverse association or no association with brain structure and function. Design …

[HTML][HTML] Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction

M Bastiani, M Cottaar, SP Fitzgibbon, S Suri… - Neuroimage, 2019 - Elsevier
Diffusion MRI data can be affected by hardware and subject-related artefacts that can
adversely affect downstream analyses. Therefore, automated quality control (QC) is of great …

[HTML][HTML] Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement

JLR Andersson, MS Graham, I Drobnjak, H Zhang… - Neuroimage, 2017 - Elsevier
Most motion correction methods work by aligning a set of volumes together, or to a volume
that represents a reference location. These are based on an implicit assumption that the …

[HTML][HTML] BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities

L Griffanti, G Zamboni, A Khan, L Li, G Bonifacio… - Neuroimage, 2016 - Elsevier
Reliable quantification of white matter hyperintensities of presumed vascular origin (WMHs)
is increasingly needed, given the presence of these MRI findings in patients with several …

[HTML][HTML] Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal

NK Dinsdale, M Jenkinson, AIL Namburete - NeuroImage, 2021 - Elsevier
Increasingly large MRI neuroimaging datasets are becoming available, including many
highly multi-site multi-scanner datasets. Combining the data from the different scanners is …

[HTML][HTML] Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study

AMG De Lange, M Anatürk, S Suri, T Kaufmann… - NeuroImage, 2020 - Elsevier
Brain age is becoming a widely applied imaging-based biomarker of neural aging and
potential proxy for brain integrity and health. We estimated multimodal and modality-specific …

Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging

M Anatürk, T Kaufmann, JH Cole, S Suri… - Human brain …, 2021 - Wiley Online Library
The concept of brain maintenance refers to the preservation of brain integrity in older age,
while cognitive reserve refers to the capacity to maintain cognition in the presence of …