Amyotrophic lateral sclerosis
Amyotrophic lateral sclerosis (ALS), also known as motor neuron disease, is characterized
by the degeneration of both upper and lower motor neurons, which leads to muscle …
by the degeneration of both upper and lower motor neurons, which leads to muscle …
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 …
neurodegenerative condition with limited therapeutic options at present. Survival from …
Health-care use before a first demyelinating event suggestive of a multiple sclerosis prodrome: a matched cohort study
JMA Wijnands, E Kingwell, F Zhu, Y Zhao… - The Lancet …, 2017 - thelancet.com
Background Degenerative processes in neurodegenerative diseases can start years before
clinical manifestation. We aimed to establish whether a multiple sclerosis prodromal period …
clinical manifestation. We aimed to establish whether a multiple sclerosis prodromal period …
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 …
amyotrophic lateral sclerosis (ALS) in face of relentless structural degeneration. This study …
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 …
academically important, but the practical demands of clinical neurology centre on the …
Association of midlife hearing impairment with late-life temporal lobe volume loss
Importance Hearing impairment (HI) in midlife (45-65 years of age) may be associated with
longitudinal neurodegeneration of temporal lobe structures, a biomarker of early Alzheimer …
longitudinal neurodegeneration of temporal lobe structures, a biomarker of early Alzheimer …
Predicting the progression of mild cognitive impairment using machine learning: a systematic, quantitative and critical review
We performed a systematic review of studies focusing on the automatic prediction of the
progression of mild cognitive impairment to Alzheimer's disease (AD) dementia, and a …
progression of mild cognitive impairment to Alzheimer's disease (AD) dementia, and a …
Longitudinal multimodal MRI as prognostic and diagnostic biomarker in presymptomatic familial frontotemporal dementia
LC Jiskoot, JL Panman, LH Meeter, EGP Dopper… - Brain, 2019 - academic.oup.com
Developing and validating sensitive biomarkers for the presymptomatic stage of familial
frontotemporal dementia is an important step in early diagnosis and for the design of future …
frontotemporal dementia is an important step in early diagnosis and for the design of future …
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 …
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
Frontotemporal dementia (FTD) phenotypes have distinctive and well-established cortical
signatures, but their subcortical grey matter profiles are poorly characterised. The …
signatures, but their subcortical grey matter profiles are poorly characterised. The …