ArticleNeurology research international2012
Magnetic resonance imaging in amyotrophic lateral sclerosis.
Article in Neurology research international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Structural magnetic resonance imaging findings and histopathological correlations in motor neuron diseases-A systematic review and meta-analysis.Frontiers in neurology · 2022Pooled it
- Magnetic Resonance Neuroimaging in Amyotrophic Lateral Sclerosis: A Comprehensive Umbrella Review of 18 Studies.Brain sciences · 2025Review
- Iron quantification in basal ganglia using quantitative susceptibility mapping in a patient with ALS: a case report and literature review.Frontiers in neuroscience · 2023Article
- Emerging Magnetic Resonance Imaging Techniques and Analysis Methods in Amyotrophic Lateral Sclerosis.Frontiers in neurology · 2018Review
- Amyotrophic Lateral Sclerosis and its Mimics/Variants: A Comprehensive Review.Journal of clinical imaging science · 2018Review
- Functional Connectivity Changes in Resting-State EEG as Potential Biomarker for Amyotrophic Lateral Sclerosis.PloS one · 2015Article
- Neuroimaging to investigate multisystem involvement and provide biomarkers in amyotrophic lateral sclerosis.BioMed research international · 2014Review
- Lessons of ALS imaging: Pitfalls and future directions - A critical review.NeuroImage. Clinical · 2014Review
- Multiple kernel learning captures a systems-level functional connectivity biomarker signature in amyotrophic lateral sclerosis.PloS one · 2013Article
- Advancements in Imaging Technologies and AI Integration for Neurodegenerative Disease Management: A Narrative Review.Molecular imagingReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amyotrophic lateral sclerosis (ALS) is a rapidly progressing neurodegenerative disorder which is incurable to date. As there are many ongoing studies with therapeutic candidates, it is of major interest to develop biomarkers not only to facilitate early diagnosis but also as a monitoring tool to predict disease progression and to enable correct randomization of patients in clinical trials. Magnetic resonance imaging (MRI) has made substantial progress over the last three decades and is a practical, noninvasive method to gain insights into the pathology of the disease. Disease-specific MRI changes therefore represent potential biomarkers for ALS. In this paper we give an overview of structural and functional MRI alterations in ALS with the focus on task-free resting-state investigations to detect cortical network failures.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.