Cognition in multiple sclerosis: State of the field and priorities for the future

JF Sumowski, R Benedict, C Enzinger, M Filippi… - Neurology, 2018 - AAN Enterprises
Cognitive decline is recognized as a prevalent and debilitating symptom of multiple sclerosis
(MS), especially deficits in episodic memory and processing speed. The field aims to (1) …

Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis

MA Rocca, MP Amato, N De Stefano… - The Lancet …, 2015 - thelancet.com
In patients with multiple sclerosis (MS), grey matter damage is widespread and might
underlie many of the clinical symptoms, especially cognitive impairment. This relation …

White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI

DK Jones, TR Knösche, R Turner - Neuroimage, 2013 - Elsevier
Diffusion-weighted MRI (DW-MRI) has been increasingly used in imaging neuroscience
over the last decade. An early form of this technique, diffusion tensor imaging (DTI) was …

Depressive symptoms, anxiety and cognitive impairment: emerging evidence in multiple sclerosis

M Margoni, P Preziosa, MA Rocca, M Filippi - Translational Psychiatry, 2023 - nature.com
Neuropsychiatric abnormalities may be broadly divided in two categories: disorders of
mood, affect, and behavior and abnormalities affecting cognition. Among these conditions …

White matter damage and cognitive impairment after traumatic brain injury

KM Kinnunen, R Greenwood, JH Powell, R Leech… - Brain, 2011 - academic.oup.com
White matter disruption is an important determinant of cognitive impairment after brain injury,
but conventional neuroimaging underestimates its extent. In contrast, diffusion tensor …

[HTML][HTML] Diffusion tensor MRI as a biomarker in axonal and myelin damage

WY Aung, S Mar, TLS Benzinger - Imaging in medicine, 2013 - ncbi.nlm.nih.gov
Diffusion tensor imaging has been used extensively as a research tool to understand the
structural changes associated with white matter pathology. Using water diffusion as the …

[HTML][HTML] Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation

F Eitel, E Soehler, J Bellmann-Strobl, AU Brandt… - NeuroImage: Clinical, 2019 - Elsevier
Abstract Machine learning-based imaging diagnostics has recently reached or even
surpassed the level of clinical experts in several clinical domains. However, classification …

Cognitive impairment in multiple sclerosis–a review of current knowledge and recent research

T Grzegorski, J Losy - Reviews in the Neurosciences, 2017 - degruyter.com
Multiple sclerosis (MS) is a chronic, progressive disease of the central nervous system that is
characterised by inflammatory damage to the myelin sheath. Though often neglected …

Information processing speed in multiple sclerosis: Past, present, and future

SL Costa, HM Genova, J DeLuca… - Multiple Sclerosis …, 2017 - journals.sagepub.com
Background: Information processing speed (IPS) is a prevalent cognitive impairment in
multiple sclerosis (MS). Objectives: This review aims to summarize the methods applied to …

Thalamus structure and function determine severity of cognitive impairment in multiple sclerosis

MM Schoonheim, HE Hulst, RB Brandt, M Strik… - Neurology, 2015 - AAN Enterprises
Objective: This study investigates whether changes in functional connectivity, diffusivity, and
volume of the thalamus can explain different severities of cognitive impairment in multiple …