Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker

JH Cole, RPK Poudel, D Tsagkrasoulis, MWA Caan… - NeuroImage, 2017 - Elsevier
Abstract Machine learning analysis of neuroimaging data can accurately predict
chronological age in healthy people. Deviations from healthy brain ageing have been …

Cognitive changes in chronic kidney disease and after transplantation

MS Van Sandwijk, IJM Ten Berge, CBLM Majoie… - …, 2016 - journals.lww.com
Cognitive impairment is very common in chronic kidney disease (CKD) and is strongly
associated with increased mortality. This review article will discuss the pathophysiology of …

[HTML][HTML] Accurate white matter lesion segmentation by k nearest neighbor classification with tissue type priors (kNN-TTPs)

MD Steenwijk, PJW Pouwels, M Daams… - NeuroImage: Clinical, 2013 - Elsevier
Introduction The segmentation and volumetric quantification of white matter (WM) lesions
play an important role in monitoring and studying neurological diseases such as multiple …

Increased brain-predicted aging in treated HIV disease

JH Cole, J Underwood, MWA Caan, D De Francesco… - Neurology, 2017 - AAN Enterprises
Objective: To establish whether HIV disease is associated with abnormal levels of age-
related brain atrophy, by estimating apparent brain age using neuroimaging and exploring …

Neurodevelopmental delay in pediatric HIV/AIDS: current perspectives

C Blokhuis, NA Kootstra, MWA Caan… - Neurobehavioral HIV …, 2016 - Taylor & Francis
The effects of HIV on the developing nervous system of perinatally HIV (PHIV)-infected
children are substantial, yet poorly understood. While the introduction of combination …

[HTML][HTML] Hypercaloric diets with increased meal frequency, but not meal size, increase intrahepatic triglycerides: a randomized controlled trial

KE Koopman, MWA Caan, AJ Nederveen, A Pels… - …, 2014 - Wiley Online Library
American children consume up to 27% of calories from high‐fat and high‐sugar snacks.
Both sugar and fat consumption have been implicated as a cause of hepatic steatosis and …

White matter fractional anisotropy correlates with speed of processing and motor speed in young childhood cancer survivors

EJ Aukema, MWA Caan, N Oudhuis… - International Journal of …, 2009 - Elsevier
PURPOSE: To determine whether childhood medulloblastoma and acute lymphoblastic
leukemia (ALL) survivors have decreased white matter fractional anisotropy (WMFA) and …

Upper and extra-motoneuron involvement in early motoneuron disease: a diffusion tensor imaging study

MM van der Graaff, CA Sage, MWA Caan… - Brain, 2011 - academic.oup.com
Motoneuron disease is a term encompassing three phenotypes defined largely by the
balance of upper versus lower motoneuron involvement, namely amyotrophic lateral …

[HTML][HTML] ExploreASL: an image processing pipeline for multi-center ASL perfusion MRI studies

HJMM Mutsaerts, J Petr, P Groot, P Vandemaele… - Neuroimage, 2020 - Elsevier
Arterial spin labeling (ASL) has undergone significant development since its inception, with
a focus on improving standardization and reproducibility of its acquisition and quantification …

Pontine tegmental cap dysplasia: a novel brain malformation with a defect in axonal guidance

PG Barth, CB Majoie, MWA Caan, MAJ Weterman… - Brain, 2007 - academic.oup.com
Four unrelated children are described with an identical brainstem and cerebellar
malformation on MRI. The key findings are: vermal hypoplasia, subtotal absence of middle …