Motor band sign in motor neuron diseases using magnetic resonance imaging: a systematic review

S Mohammadi, S Ghaderi - Acta Neurologica Scandinavica, 2023 - Wiley Online Library
Motor neuron diseases (MNDs) like amyotrophic lateral sclerosis (ALS) are progressive
neurodegenerative disorders affecting upper and lower motor neurons (UMN and LMN) …

[HTML][HTML] In vivo diagnosis of TDP-43 proteinopathies: in search of biomarkers of clinical use

JI López-Carbonero, I García-Toledo… - Translational …, 2024 - Springer
TDP-43 proteinopathies are a heterogeneous group of neurodegenerative disorders that
share the presence of aberrant, misfolded and mislocalized deposits of the protein TDP-43 …

[PDF][PDF] Machine learning classificatory as a tool in the diagnosis of amyotrophic lateral sclerosis using diffusion tensor imaging parameters collected with 1.5 T MRI …

M Jamrozy, E Maj, M Bielecki, M Bartoszek… - Electronic Journal of …, 2023 - ejgm.uk
The relevance of the study lies in the need to improve the diagnosis of amyotrophic lateral
sclerosis (ALS) by utilizing diffusion tensor imaging (DTI) obtained from conventional 1.5 …

Potential of neuroimaging as a biomarker in amyotrophic lateral sclerosis: from structure to metabolism

W Sun, SH Liu, XJ Wei, H Sun, ZW Ma, XF Yu - Journal of Neurology, 2024 - Springer
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease
characterized by motor neuron degeneration. The development of ALS involves metabolite …

[HTML][HTML] Retracted: Diffusion magnetic resonance imaging-based surrogate marker in amyotrophic lateral sclerosis

Y Saito - Exploration of Neuroprotective Therapy, 2023 - explorationpub.com
Amyotrophic lateral sclerosis (ALS) is the most prevalent type of motor neuron disease
(MND) and is diagnosed with a delay from the first appearance of symptoms. Surrogate …

Open imaging protocols, amyotrophic lateral sclerosis and other neurodegenerative disorders

MA Pawlak - Neurologia i Neurochirurgia Polska, 2022 - journals.viamedica.pl
The evaluation of imaging biomarker efficiency is a complicated task when it is based on
real-world data derived from a single centre [1]. Over the last decade, there have been more …