[HTML][HTML] Diffusion tensor imaging in amyotrophic lateral sclerosis: machine learning for biomarker development

A Behler, HP Müller, AC Ludolph… - International journal of …, 2023 - mdpi.com
Diffusion tensor imaging (DTI) allows the in vivo imaging of pathological white matter
alterations, either with unbiased voxel-wise or hypothesis-guided tract-based analysis …

[HTML][HTML] Structural magnetic resonance imaging findings and histopathological correlations in motor neuron diseases—A systematic review and meta-analysis

C Zejlon, D Nakhostin, S Winklhofer, A Pangalu… - Frontiers in …, 2022 - frontiersin.org
Objectives The lack of systematic evidence on neuroimaging findings in motor neuron
diseases (MND) hampers the diagnostic utility of magnetic resonance imaging (MRI). Thus …

[HTML][HTML] Multiparametric microstructural MRI and machine learning classification yields high diagnostic accuracy in amyotrophic lateral sclerosis: proof of concept

TD Kocar, A Behler, AC Ludolph, HP Müller… - Frontiers in …, 2021 - frontiersin.org
The potential of multiparametric quantitative neuroimaging has been extensively discussed
as a diagnostic tool in amyotrophic lateral sclerosis (ALS). In the past, the integration of …

Amyotrophic lateral sclerosis with upper motor neuron predominance: diagnostic accuracy of qualitative and quantitative susceptibility metrics in the precentral gyrus

F Lo Russo, VE Contarino, G Conte, C Morelli… - European …, 2023 - Springer
Objective The study aims at comparing the diagnostic accuracy of qualitative and
quantitative assessment of the susceptibility in the precentral gyrus in detecting amyotrophic …

Relaxation-weighted 23Na magnetic resonance imaging maps regional patterns of abnormal sodium concentrations in amyotrophic lateral sclerosis

HP Müller, AM Nagel, F Keidel… - … in Chronic Disease, 2022 - journals.sagepub.com
Objectives: Multiparametric magnetic resonance imaging (MRI) is established as a technical
instrument for the characterisation of patients with amyotrophic lateral sclerosis (ALS). The …

[HTML][HTML] Artificial neural networks for non-linear age correction of diffusion metrics in the brain

TD Kocar, A Behler, C Leinert, M Denkinger… - Frontiers in aging …, 2022 - frontiersin.org
Human aging is characterized by progressive loss of physiological functions. To assess
changes in the brain that occur with increasing age, the concept of brain aging has gained …

Artificial intelligence for screening and diagnosis of amyotrophic lateral sclerosis: a systematic review and meta-analysis

TP Umar, N Jain, M Papageorgakopoulou… - … Lateral Sclerosis and …, 2024 - Taylor & Francis
Introduction Amyotrophic lateral sclerosis (ALS) is a rare and fatal neurological disease that
leads to progressive motor function degeneration. Diagnosing ALS is challenging due to the …

Potential of neuroimaging as a biomarker in amyotrophic lateral sclerosis: from structure to metabolism

W Sun, SH Liu, XJ Wei, H Sun, ZW Ma, XF Yu - Journal of Neurology, 2024 - Springer
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease
characterized by motor neuron degeneration. The development of ALS involves metabolite …

[HTML][HTML] Simultaneous PET/MRI: The future gold standard for characterizing motor neuron disease—A clinico-radiological and neuroscientific perspective

FD Juengling, F Wuest, S Kalra, F Agosta… - Frontiers in …, 2022 - frontiersin.org
Neuroimaging assessment of motor neuron disease has turned into a cornerstone of its
clinical workup. Amyotrophic lateral sclerosis (ALS), as a paradigmatic motor neuron …

[HTML][HTML] Retracted: Diffusion magnetic resonance imaging-based surrogate marker in amyotrophic lateral sclerosis

Y Saito - Exploration of Neuroprotective Therapy, 2023 - explorationpub.com
Amyotrophic lateral sclerosis (ALS) is the most prevalent type of motor neuron disease
(MND) and is diagnosed with a delay from the first appearance of symptoms. Surrogate …