Survival prediction in Amyotrophic lateral sclerosis based on MRI measures and clinical characteristics

C Schuster, O Hardiman, P Bede - BMC neurology, 2017 - Springer
Background Amyotrophic lateral sclerosis (ALS) a highly heterogeneous neurodegenerative
condition. Accurate diagnostic, monitoring and prognostic biomarkers are urgently needed …

Distinct patterns of progressive gray and white matter degeneration in amyotrophic lateral sclerosis

A Ishaque, D Ta, M Khan, L Zinman… - Human Brain …, 2022 - Wiley Online Library
Progressive cerebral degeneration in amyotrophic lateral sclerosis (ALS) remains poorly
understood. Here, three‐dimensional (3D) texture analysis was used to study longitudinal …

What does imaging reveal about the pathology of amyotrophic lateral sclerosis?

MR Turner, E Verstraete - Current neurology and neuroscience reports, 2015 - Springer
Amyotrophic lateral sclerosis (ALS) is now recognised to be a heterogeneous
neurodegenerative syndrome of the motor system and its frontotemporal cortical …

The corticospinal tract profile in amyotrophic lateral sclerosis

A Sarica, A Cerasa, P Valentino, J Yeatman… - Human brain …, 2017 - Wiley Online Library
This work evaluates the potential in diagnostic application of a new advanced neuroimaging
method, which delineates the profile of tissue properties along the corticospinal tract (CST) …

Accuracy of conventional MRI in ALS

A Gupta, TB Nguyen, S Chakraborty… - Canadian Journal of …, 2014 - cambridge.org
Background: There is currently no definite neuroimaging test to detect amyotrophic lateral
sclerosis (ALS), which leads to significant delay in diagnosis, particularly if one takes into …

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 …

The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review

MZ Hossain, E Daskalaki, A Brüstle… - BMC Medical Informatics …, 2022 - Springer
Background Multiple sclerosis (MS) is a neurological condition whose symptoms, severity,
and progression over time vary enormously among individuals. Ideally, each person living …

Frontotemporal degeneration in amyotrophic lateral sclerosis (ALS): a longitudinal MRI one-year study

F Trojsi, F Di Nardo, M Siciliano, G Caiazzo… - CNS …, 2021 - cambridge.org
ObjectiveAdvanced neuroimaging techniques may offer the potential to monitor disease
progression in amyotrophic lateral sclerosis (ALS), a neurodegenerative, multisystem …

Voxel-wise meta-analysis of gray matter changes in amyotrophic lateral sclerosis

D Shen, L Cui, J Fang, B Cui, D Li… - Frontiers in Aging …, 2016 - frontiersin.org
Background: Increasing neuroimaging studies have revealed gray matter (GM) anomalies of
several brain regions by voxel-based morphometry (VBM) studies in patients with …

Imaging in amyotrophic lateral sclerosis: MRI and PET

J Kassubek, M Pagani - Current opinion in neurology, 2019 - journals.lww.com
MRI and PET studies in ALS have consistently shown patterns of functional and structural
changes considered to be the pathological signature of the disease. The constant advance …