[HTML][HTML] A review on multiple sclerosis prognostic findings from imaging, inflammation, and mental health studies

J Brasanac, C Chien - Frontiers in Human Neuroscience, 2023 - frontiersin.org
Magnetic resonance imaging (MRI) of the brain is commonly used to detect where chronic
and active lesions are in multiple sclerosis (MS). MRI is also extensively used as a tool to …

The sequence of regional structural disconnectivity due to multiple sclerosis lesions

C Tozlu, E Olafson, KW Jamison… - Brain …, 2023 - academic.oup.com
Prediction of disease progression is challenging in multiple sclerosis as the sequence of
lesion development and retention of inflammation within a subset of chronic lesions is …

[HTML][HTML] Dynamic functional connectivity better predicts disability than structural and static functional connectivity in people with multiple sclerosis

C Tozlu, K Jamison, SA Gauthier… - Frontiers in …, 2021 - frontiersin.org
Background: Advanced imaging techniques such as diffusion and functional MRI can be
used to identify pathology-related changes to the brain's structural and functional …

Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity

C Tozlu, S Card, K Jamison, SA Gauthier… - Network …, 2023 - direct.mit.edu
Quantifying the relationship between the brain's functional activity patterns and its structural
backbone is crucial when relating the severity of brain pathology to disability in multiple …

Early effect of thrombolysis on structural brain network organisation after anterior‐circulation stroke in the randomized WAKE‐UP trial

E Schlemm, M Jensen, A Kuceyeski… - Human Brain …, 2022 - Wiley Online Library
The symptoms of acute ischemic stroke can be attributed to disruption of the brain network
architecture. Systemic thrombolysis is an effective treatment that preserves structural …

Prediction of high and low disease activity in early MS patients using multiple kernel learning identifies importance of lateral ventricle intensity

C Chien, M Seiler, F Eitel… - Multiple Sclerosis …, 2022 - journals.sagepub.com
Background Lack of easy-to-interpret disease activity prediction methods in early MS can
lead to worse patient prognosis. Objectives Using machine learning (multiple kernel …

Mechanisms of Progressive Multiple Sclerosis

JY Garber - 2023 - ses.library.usyd.edu.au
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central
nervous system with features of progressive neurodegeneration. The mechanisms of …

[图书][B] Leveraging multimodal neuroimaging and machine learning to predict processing speed in multiple sclerosis

HR Manglani - 2022 - search.proquest.com
Multiple sclerosis (MS) is a chronic neurological disease of the central nervous system
(CNS) characterized by widespread inflammation, neurodegeneration, and reparation …

Магнитно-резонансная томография коннектома в оценке результатов нейрореабилитации у пациентов с рассеянным склерозом (обзор литературы)

ЮП Коптева, АС Агафьина… - Российский журнал …, 2023 - persmed.elpub.ru
Аннотация Представленный обзор литературы посвящен оценке функционального
состояния коннектома головного мозга при применении специализированных методик …