[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] 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 …

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] Deep learning methods to predict amyotrophic lateral sclerosis disease progression

C Pancotti, G Birolo, C Rollo, T Sanavia, B Di Camillo… - Scientific reports, 2022 - nature.com
Amyotrophic lateral sclerosis (ALS) is a highly complex and heterogeneous
neurodegenerative disease that affects motor neurons. Since life expectancy is relatively …

[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] 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 …

[HTML][HTML] Clusters of anatomical disease-burden patterns in ALS: a data-driven approach confirms radiological subtypes

P Bede, A Murad, J Lope, O Hardiman, KM Chang - Journal of neurology, 2022 - Springer
Amyotrophic lateral sclerosis (ALS) is associated with considerable clinical heterogeneity
spanning from diverse disability profiles, differences in UMN/LMN involvement, divergent …

[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] Presymptomatic grey matter alterations in ALS kindreds: a computational neuroimaging study of asymptomatic C9orf72 and SOD1 mutation carriers

P Bede, D Lulé, HP Müller, EL Tan, J Dorst… - Journal of …, 2023 - Springer
Background The characterisation of presymptomatic disease-burden patterns in
asymptomatic mutation carriers has a dual academic and clinical relevance. The …

[HTML][HTML] Propagation patterns in motor neuron diseases: Individual and phenotype-associated disease-burden trajectories across the UMN-LMN spectrum of MNDs

M Tahedl, SLH Shing, E Finegan, RH Chipika… - Neurobiology of …, 2022 - Elsevier
Motor neuron diseases encompass a divergent group of conditions with considerable
differences in clinical manifestations, survival, and genetic vulnerability. One of the key …