[HTML][HTML] Urgent challenges in quantification and interpretation of brain grey matter atrophy in individual MS patients using MRI

H Amiri, A de Sitter, K Bendfeldt, M Battaglini… - NeuroImage: Clinical, 2018 - Elsevier
Atrophy of the brain grey matter (GM) is an accepted and important feature of multiple
sclerosis (MS). However, its accurate measurement is hampered by various technical …

[HTML][HTML] Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions

AM Radwan, L Emsell, J Blommaert, A Zhylka… - NeuroImage, 2021 - Elsevier
Brain atlases and templates are at the heart of neuroimaging analyses, for which they
facilitate multimodal registration, enable group comparisons and provide anatomical …

Intra-and interscanner variability of magnetic resonance imaging based volumetry in multiple sclerosis

V Biberacher, P Schmidt, A Keshavan, CC Boucard… - Neuroimage, 2016 - Elsevier
Brain volumetric measurements in multiple sclerosis (MS) reflect not only disease-specific
processes but also other sources of variability. The latter has to be considered especially in …

[HTML][HTML] A multi-time-point modality-agnostic patch-based method for lesion filling in multiple sclerosis

F Prados, MJ Cardoso, B Kanber, O Ciccarelli… - Neuroimage, 2016 - Elsevier
Multiple sclerosis lesions influence the process of image analysis, leading to tissue
segmentation problems and biased morphometric estimates. Existing techniques try to …

Volume versus surface-based cortical thickness measurements: a comparative study with healthy controls and multiple sclerosis patients

R Righart, P Schmidt, R Dahnke, V Biberacher, A Beer… - PloS one, 2017 - journals.plos.org
The cerebral cortex is a highly folded outer layer of grey matter tissue that plays a key role in
cognitive functions. In part, alterations of the cortex during development and disease can be …

Volume loss in the deep gray matter and thalamic subnuclei: a longitudinal study on disability progression in multiple sclerosis

S Magon, C Tsagkas, L Gaetano, R Patel… - Journal of …, 2020 - Springer
Background Volume loss in the deep gray matter (DGM) has been reported in patients with
multiple sclerosis (MS) already at early stages of the disease and is thought to progress …

Olfactory dysfunction predicts disease progression in Parkinson's disease: a longitudinal study

R He, Y Zhao, Y He, Y Zhou, J Yang, X Zhou… - Frontiers in …, 2020 - frontiersin.org
Background and Objective: Olfactory dysfunction (hyposmia) is an important non-motor
symptom of Parkinson's disease (PD). To investigate the potential prognostic value of …

Automated tissue segmentation of MR brain images in the presence of white matter lesions

S Valverde, A Oliver, E Roura, S González-Villà… - Medical image …, 2017 - Elsevier
Over the last few years, the increasing interest in brain tissue volume measurements on
clinical settings has led to the development of a wide number of automated tissue …

Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

B Barile, P Ashtari, C Stamile, A Marzullo… - Frontiers in Robotics …, 2022 - frontiersin.org
Purpose: The main goal of this study is to investigate the discrimination power of Grey Matter
(GM) thickness connectome data between Multiple Sclerosis (MS) clinical profiles using …

Central nervous system atrophy predicts future dynamics of disability progression in a real‐world multiple sclerosis cohort

C Tsagkas, Y Naegelin, M Amann… - European Journal of …, 2021 - Wiley Online Library
Background and purpose In an era of individualized multiple sclerosis (MS) patient
management, biomarkers for accurate prediction of future clinical outcomes are needed. We …