[HTML][HTML] Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review

E Tavazzi, E Longato, M Vettoretti, H Aidos… - Artificial Intelligence in …, 2023 - Elsevier
Abstract Background: Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative
disorder characterised by the progressive loss of motor neurons in the brain and spinal cord …

[HTML][HTML] Frontotemporal pathology in motor neuron disease phenotypes: Insights from neuroimaging

MC McKenna, P Corcia, P Couratier, WF Siah… - Frontiers in …, 2021 - frontiersin.org
Frontotemporal involvement has been extensively investigated in amyotrophic lateral
sclerosis (ALS) but remains relatively poorly characterized in other motor neuron disease …

[HTML][HTML] Predictors of survival in patients with amyotrophic lateral sclerosis: a large meta-analysis

WM Su, YF Cheng, Z Jiang, QQ Duan, TM Yang… - …, 2021 - thelancet.com
Background The survival time of amyotrophic lateral sclerosis (ALS) is greatly variable and
protective or risk effects of the potential survival predictors are controversial. Thus, we aim to …

[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 …

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] Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study

F Faghri, F Brunn, A Dadu, A Chiò, A Calvo… - The Lancet Digital …, 2022 - thelancet.com
Background Amyotrophic lateral sclerosis (ALS) is known to represent a collection of
overlapping syndromes. Various classification systems based on empirical observations …

[HTML][HTML] Cost function for low-dimensional manifold topology assessment

K Zdybał, E Armstrong, JC Sutherland, A Parente - Scientific Reports, 2022 - nature.com
In reduced-order modeling, complex systems that exhibit high state-space dimensionality
are described and evolved using a small number of parameters. These parameters can be …

[HTML][HTML] Hippocampal metabolic alterations in amyotrophic lateral sclerosis: a magnetic resonance spectroscopy study

F Christidi, GD Argyropoulos, E Karavasilis… - Life, 2023 - mdpi.com
Background: Magnetic resonance spectroscopy (MRS) in amyotrophic lateral sclerosis
(ALS) has been overwhelmingly applied to motor regions to date and our understanding of …

[HTML][HTML] Brainstem–cortex disconnection in amyotrophic lateral sclerosis: bulbar impairment, genotype associations, asymptomatic changes and biomarker …

M Tahedl, EL Tan, RH Chipika, JC Hengeveld… - Journal of …, 2023 - Springer
Background Bulbar dysfunction is a cardinal feature of ALS with important quality of life and
management implications. The objective of this study is the longitudinal evaluation of a large …

[HTML][HTML] Neurometabolic alterations in motor neuron disease: insights from magnetic resonance spectroscopy

F Christidi, E Karavasilis, GD Argyropoulos… - Journal of integrative …, 2022 - imrpress.com
Magnetic resonance spectroscopy (MRS) has contributed important academic insights in
motor neuron diseases (MNDs), particularly in amyotrophic lateral sclerosis (ALS). Over the …