Recent advances in the diagnosis and prognosis of amyotrophic lateral sclerosis

SA Goutman, O Hardiman, A Al-Chalabi… - The Lancet …, 2022 - thelancet.com
The diagnosis of amyotrophic lateral sclerosis can be challenging due to its heterogeneity in
clinical presentation and overlap with other neurological disorders. Diagnosis early in the …

[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 …

Health big data analytics: A technology survey

G Harerimana, B Jang, JW Kim, HK Park - Ieee Access, 2018 - ieeexplore.ieee.org
Because of the vast availability of data, there has been an additional focus on the health
industry and an increasing number of studies that aim to leverage the data to improve …

[HTML][HTML] 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 …

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 …

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 …

[HTML][HTML] 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 …

Hippocampal pathology in amyotrophic lateral sclerosis: selective vulnerability of subfields and their associated projections

F Christidi, E Karavasilis, M Rentzos, G Velonakis… - Neurobiology of …, 2019 - Elsevier
Although hippocampal involvement in amyotrophic lateral sclerosis (ALS) has been
consistently highlighted by postmortem studies, memory impairment remains under …

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 …

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 …