ReviewNeurology research international2022
Brain Connectivity and Network Analysis in Amyotrophic Lateral Sclerosis.
Review in Neurology research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 21 citations in OpenAlex.
- King's stages of amyotrophic lateral sclerosis: an 18F-FDG-PET study of brain connectivity.Brain : a journal of neurology · 2026Article
- Microscale dysfunction and mesoscale compensation in degenerating neuronal networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Brain Connectivity, Neural Networks, and Resilience in Aging and Neurodegeneration.The American journal of pathology · 2025Review
- Magnetic Resonance Neuroimaging in Amyotrophic Lateral Sclerosis: A Comprehensive Umbrella Review of 18 Studies.Brain sciences · 2025Review
- AI reshaping life sciences: intelligent transformation, application challenges, and future convergence in neuroscience, biology, and medicine.Frontiers in digital health · 2025Review
- Brain-body mechanisms contribute to sexual dimorphism in amyotrophic lateral sclerosis.Nature reviews. Neurology · 2024Review
- Editorial: Novel fMRI techniques and analysis methods for enhanced detection of functional disorders.Frontiers in neuroscience · 2024Article
- Mitochondrial Inherited Disorders and their Correlation with Neurodegenerative Diseases.Endocrine, metabolic & immune disorders drug targets · 2024Review
- Synaptic dysfunction in ALS and FTD: anatomical and molecular changes provide insights into mechanisms of disease.Frontiers in molecular neuroscience · 2022Review
- Validation of Functional Connectivity of Engineered Neuromuscular Junction With Recombinant Monosynaptic Pseudotyped ΔG-Rabies Virus Tracing.Frontiers in integrative neuroscience · 2022Article
- Connectivity in ALS II (CoALS II): a study of structural and functional connectivity in ALS.Frontiers in neurologyArticle
- Exploring causal links between brain functional networks and neurodegenerative disease risk using Mendelian randomization.Journal of Alzheimer's disease reportsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with no effective treatment or cure. ALS is characterized by the death of lower motor neurons (LMNs) in the spinal cord and upper motor neurons (UMNs) in the brain and their networks. Since the lower motor neurons are under the control of UMN and the networks, cortical degeneration may play a vital role in the pathophysiology of ALS. These changes that are not apparent on routine imaging with CT scans or MRI brain can be identified using modalities such as diffusion tensor imaging, functional MRI, arterial spin labelling (ASL), electroencephalogram (EEG), magnetoencephalogram (MEG), functional near-infrared spectroscopy (fNIRS), and positron emission tomography (PET) scan. They can help us generate a representation of brain networks and connectivity that can be visualized and parsed out to characterize and quantify the underlying pathophysiology in ALS. In addition, network analysis using graph measures provides a novel way of understanding the complex network changes occurring in the brain. These have the potential to become biomarker for the diagnosis and treatment of ALS. This article is a systematic review and overview of the various connectivity and network-based studies in ALS.
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.