ArticleBrain sciences2020
Detection of White Matter Ultrastructural Changes for Amyotrophic Lateral Sclerosis Characterization: A Diagnostic Study from Dti-Derived Data.
Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- White matter abnormalities in amyotrophic lateral sclerosis: a free water imaging study.Frontiers in neuroscience · 2026Article
- Cerebellar grey matter volume is associated with semantic fluency performance in amyotrophic lateral sclerosis patients.Brain communications · 2025Article
- Review
- Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development.International journal of molecular sciences · 2023Review
- Cerebellar pathology in motor neuron disease: neuroplasticity and neurodegeneration.Neural regeneration research · 2022Review
- Neuroimaging Applications for Diagnosis and Therapy of Pathologies in the Central and Peripheral Nervous System.Brain sciences · 2022Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
Abstract
In amyotrophic lateral sclerosis (ALS), magnetic resonance imaging (MRI) allows investigation at the microstructural level, employing techniques able to reveal white matter changes. In the current study, a diffusion tensor imaging (DTI) analysis, with a collection of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) indexes, was performed in ALS patients to correlate geno- and phenotype features with MRI data, to investigate an in-vivo correlation of different neuropathological patterns. All patients who underwent the MR-DTI analysis were retrospectively recruited. MRI scan was collected within three months from diagnosis. FA and ADC values were collected in corpus callosum (CC), corona radiata (CR), cerebral peduncle (CR), cerebellar peduncle (CbP) and corticospinal tract at posterior limb of internal capsule (CST). DTI analysis performed in the whole ALS cohort revealed significant FA reduction and ADC increase in all selected regions, as widespread changes. Moreover, we observed a higher value of FA in rCR in bulbar patients. A positive correlation between ALS Functional Rating Scale-Revised and FA in rCP was evident. In consideration of the non-invasiveness, the reliability and the easy reproducibility of the method, we believe that brain MRI with DTI analyses may represent a valid tool usable as a diagnostic marker in ALS.
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Registered trials
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