The therapeutic potential of exercise for improving mobility in multiple sclerosis

G Locatelli, M Stangel, D Rooks, J Boesch… - Frontiers in …, 2024 - frontiersin.org
Multiple sclerosis (MS) is a chronic autoimmune disease characterized by inflammation and
demyelination in the central nervous system (CNS) with subsequent axonal and neuronal …

Artificial intelligence role in advancement of human brain connectome studies

D Shekouh, H Sadat Kaboli… - Frontiers in …, 2024 - frontiersin.org
Neurons are interactive cells that connect via ions to develop electromagnetic fields in the
brain. This structure functions directly in the brain. Connectome is the data obtained from …

Multiple sclerosis clinical forms classification with graph convolutional networks based on brain morphological connectivity

E Chen, B Barile, F Durand-Dubief, T Grenier… - Frontiers in …, 2024 - frontiersin.org
Multiple Sclerosis (MS) is an autoimmune disease that combines chronic inflammatory and
neurodegenerative processes underlying different clinical forms of evolution, such as …

Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM)

L Irastorza-Valera, E Soria-Gómez, JM Benitez… - Biomimetics, 2024 - mdpi.com
The brain is the most complex organ in the human body and, as such, its study entails great
challenges (methodological, theoretical, etc.). Nonetheless, there is a remarkable amount of …

Differences between Alzheimer's disease and mild cognitive impairment using brain networks from magnetic resonance texture analysis

RV Da Silveira, TNC Magalhães, MLF Balthazar… - Experimental brain …, 2024 - Springer
Several studies have aimed at identifying biomarkers in the initial phases of Alzheimer's
disease (AD). Conversely, texture features, such as those from gray-level co-occurrence …

[HTML][HTML] A positive psychotherapy group intervention to increase distress tolerance and reduce feelings of entrapment in patients with multiple sclerosis

YH Jamalooei, M Esmaeili, A Abedi… - Journal of Education …, 2024 - journals.lww.com
BACKGROUND: Multiple sclerosis is a central neurogenic demyelinating disease. This is
one of the most common neurological diseases in humans and is the most debilitating at a …

Texture-based brain networks for characterization of healthy subjects from MRI

RV da Silveira, LM Li, G Castellano - Scientific reports, 2023 - nature.com
Brain networks have been widely used to study the relationships between brain regions
based on their dynamics using, eg fMRI or EEG, and to characterize their real physical …

Autoimmune Autonomic Disorder: AI-Based Diagnosis and Prognosis

R Karwasra, S Sharma, I Sharma… - Artificial Intelligence and …, 2024 - Springer
Abstract Autoimmune Autonomic Disorders (AAD) are a group of rare conditions that affect
the autonomic nervous system, leading to a wide range of debilitating symptoms. Timely and …

Vision Impairment prediction for patients diagnosed with Multiple Sclerosis: Cosmos based machine learning model training and evaluation

B Buxton, A Hassan, N Shalaby, J Lindsey, J Lincoln… - medRxiv, 2023 - medrxiv.org
Objectives Multiple sclerosis (MS) is a complex autoimmune neurological disorder that
frequently impacts vision. One of the most frequent initial presentations of MS is acute vision …

Evaluation of the Effectiveness of Treatment Based on Lived Experiences of Social Stigma on the Mental Toughness of Patients with Multiple Sclerosis

Y Harooni Jamalooei, M Esmaili, A Abedi… - Journal of Research in …, 2024 - rbs.mui.ac.ir
بهار 1399، Page 1 www.mui.ac.ir Journal of Research in Behavioral Sciences Year 2024,
Volume 21, Issue 4 Evaluation of the Effectiveness of Treatment Based on Lived …