[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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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 …
(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 …
состояния коннектома головного мозга при применении специализированных методик …