[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] Imaging neurochemistry and brain structure tracks clinical decline and mechanisms of ALS in patients

OC Andronesi, K Nicholson, K Jafari-Khouzani… - Frontiers in …, 2020 - frontiersin.org
Background: Oxidative stress and protein aggregation are key mechanisms in amyotrophic
lateral sclerosis (ALS) disease. Reduced glutathione (GSH) is the most important …

[HTML][HTML] Quantitative brain MRI metrics distinguish four different ALS phenotypes: a machine learning based study

V Rajagopalan, KG Chaitanya, EP Pioro - Diagnostics, 2023 - mdpi.com
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease whose diagnosis
depends on the presence of combined lower motor neuron (LMN) and upper motor neuron …

The selective anatomical vulnerability of ALS:'disease-defining'and 'disease-defying'brain regions

P Bede, PM Iyer, C Schuster, M Elamin… - … lateral sclerosis and …, 2016 - Taylor & Francis
A large multiparametric MRI study has been undertaken to evaluate anatomical patterns of
basal ganglia, white matter and cortical grey matter involvement in ALS. Unaffected brain …

[HTML][HTML] A systematic review of suggested molecular strata, biomarkers and their tissue sources in ALS

UG Vijayakumar, V Milla, MY Cynthia Stafford… - Frontiers in …, 2019 - frontiersin.org
Amyotrophic lateral sclerosis (ALS), also known as motor neuron disease, is an incurable
neurodegenerative condition, characterized by the loss of upper and lower motor neurons. It …

[HTML][HTML] Development of an automated MRI-based diagnostic protocol for amyotrophic lateral sclerosis using disease-specific pathognomonic features: a quantitative …

C Schuster, O Hardiman, P Bede - PLoS One, 2016 - journals.plos.org
Background Despite significant advances in quantitative neuroimaging, the diagnosis of
ALS remains clinical and MRI-based biomarkers are not currently used to aid the diagnosis …

[HTML][HTML] Lessons of ALS imaging: pitfalls and future directions—a critical review

P Bede, O Hardiman - NeuroImage: Clinical, 2014 - Elsevier
Background While neuroimaging in ALS has gained unprecedented momentum in recent
years, little progress has been made in the development of viable diagnostic, prognostic and …

Cortical progression patterns in individual ALS patients across multiple timepoints: a mosaic-based approach for clinical use

M Tahedl, RH Chipika, J Lope, S Li Hi Shing… - Journal of …, 2021 - Springer
Introduction The majority of imaging studies in ALS infer group-level imaging signatures
from group comparisons, as opposed to estimating disease burden in individual patients. In …

[HTML][HTML] Virtual brain biopsies in amyotrophic lateral sclerosis: diagnostic classification based on in vivo pathological patterns

P Bede, PM Iyer, E Finegan, T Omer, O Hardiman - NeuroImage: Clinical, 2017 - Elsevier
Background Diagnostic uncertainty in ALS has serious management implications and
delays recruitment into clinical trials. Emerging evidence of presymptomatic disease-burden …