[HTML][HTML] Machine learning in amyotrophic lateral sclerosis: achievements, pitfalls, and future directions

V Grollemund, PF Pradat, G Querin, F Delbot… - Frontiers in …, 2019 - frontiersin.org
Background: Amyotrophic Lateral Sclerosis (ALS) is a relentlessly progressive
neurodegenerative condition with limited therapeutic options at present. Survival from …

Primary lateral sclerosis: a distinct entity or part of the ALS spectrum?

E Finegan, RH Chipika, SLH Shing… - … Lateral Sclerosis and …, 2019 - Taylor & Francis
Primary lateral sclerosis (PLS) has been traditionally viewed as a distinct upper motor
neuron condition (UMN) but is increasingly regarded as a sub-phenotype within the …

Patterned functional network disruption in amyotrophic lateral sclerosis

S Dukic, R McMackin, T Buxo, A Fasano… - Human Brain …, 2019 - Wiley Online Library
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease primarily
affecting motor function, with additional evidence of extensive nonmotor involvement …

Adaptive functional reorganization in amyotrophic lateral sclerosis: coexisting degenerative and compensatory changes

M Abidi, G de Marco, A Couillandre… - European Journal of …, 2020 - Wiley Online Library
Background and purpose Considerable functional reorganization takes place in
amyotrophic lateral sclerosis (ALS) in face of relentless structural degeneration. This study …

Development and validation of a 1-year survival prognosis estimation model for Amyotrophic Lateral Sclerosis using manifold learning algorithm UMAP

V Grollemund, GL Chat, MS Secchi-Buhour, F Delbot… - Scientific reports, 2020 - nature.com
Abstract Amyotrophic Lateral Sclerosis (ALS) is an inexorably progressive
neurodegenerative condition with no effective disease modifying therapies. The …

Phenotypic categorisation of individual subjects with motor neuron disease based on radiological disease burden patterns: A machine-learning approach

P Bede, A Murad, J Lope, SLH Shing, E Finegan… - Journal of the …, 2022 - Elsevier
Motor neuron disease is an umbrella term encompassing a multitude of clinically
heterogeneous phenotypes. The early and accurate categorisation of patients is hugely …

Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features

P Bede, A Murad, O Hardiman - Journal of neurology, 2021 - Springer
The description of group-level, genotype-and phenotype-associated imaging traits is
academically important, but the practical demands of clinical neurology centre on the …

Connectivity-based characterisation of subcortical grey matter pathology in frontotemporal dementia and ALS: a multimodal neuroimaging study

P Bede, T Omer, E Finegan, RH Chipika… - Brain imaging and …, 2018 - Springer
Frontotemporal dementia (FTD) phenotypes have distinctive and well-established cortical
signatures, but their subcortical grey matter profiles are poorly characterised. The …

Diffusion tensor imaging in amyotrophic lateral sclerosis: machine learning for biomarker development

A Behler, HP Müller, AC Ludolph… - International journal of …, 2023 - mdpi.com
Diffusion tensor imaging (DTI) allows the in vivo imaging of pathological white matter
alterations, either with unbiased voxel-wise or hypothesis-guided tract-based analysis …

Longitudinal structural changes in ALS: a three time-point imaging study of white and gray matter degeneration

P Bede, O Hardiman - Amyotrophic Lateral Sclerosis and …, 2018 - Taylor & Francis
Background: Cross-sectional imaging studies offer valuable pathological insights into the
neurodegenerative changes of amyotrophic lateral sclerosis. However, clinical trials urgently …