ArticleNeuroImage. Clinical2018
Brain functional networks become more connected as amyotrophic lateral sclerosis progresses: a source level magnetoencephalographic study.
Article in NeuroImage. Clinical, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Functional near-infrared spectroscopy: Systematic mapping of abnormal brain function features in neurological disorders.Neural regeneration research · 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
- Neurophysiological biomarkers of networks impairment in amyotrophic lateral sclerosis.Journal of neurology · 2025Review
- Magnetoencephalography Dimensionality Reduction Informed by Dynamic Brain States.The European journal of neuroscience · 2025Article
- Screening of visuospatial abilities in amyotrophic lateral sclerosis (ALS): a pilot study using the battery for visuospatial abilities (BVA).Orphanet journal of rare diseases · 2025Article
- Longitudinal changes in MEG-based brain network topology of ALS patients with cognitive/behavioral impairment-An exploratory study.Network neuroscience (Cambridge, Mass.) · 2025Article
- Novel approaches to EEG and MEG in motor neurone disease: IFCN Handbook Chapter.Clinical neurophysiology practice · 2025Review
- Review of the Brain's Behaviour after Injury and Disease for Its Application in an Agent-Based Model (ABM).Biomimetics (Basel, Switzerland) · 2024Review
- Article
- Automatic detection of ALS from single-trial MEG signals during speech tasks: a pilot study.Frontiers in psychology · 2024Article
- Quantitative Brain MRI Metrics Distinguish Four Different ALS Phenotypes: A Machine Learning Based Study.Diagnostics (Basel, Switzerland) · 2023Article
- Dynamical interactions reconfigure the gradient of cortical timescales.Network neuroscience (Cambridge, Mass.) · 2023Article
- Whole-Brain Propagation Delays in Multiple Sclerosis, a Combined Tractography-Magnetoencephalography Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Flexibility of Fast Brain Dynamics and Disease Severity in Amyotrophic Lateral Sclerosis.Neurology · 2022Article
- Amyotrophic lateral sclerosis.Lancet (London, England) · 2022Review
- The Metabolomic Profile in Amyotrophic Lateral Sclerosis Changes According to the Progression of the Disease: An Exploratory Study.Metabolites · 2022Article
- Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity.Network neuroscience (Cambridge, Mass.) · 2022Article
- Recent advances in the diagnosis and prognosis of amyotrophic lateral sclerosis.The Lancet. Neurology · 2022Review
- Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis.Brain : a journal of neurology · 2022Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study hypothesizes that the brain shows hyper connectedness as amyotrophic lateral sclerosis (ALS) progresses. 54 patients (classified as "early stage" or "advanced stage") and 25 controls underwent magnetoencephalography and MRI recordings. The activity of the brain areas was reconstructed, and the synchronization between them was estimated in the classical frequency bands using the phase lag index. Brain topological metrics such as the leaf fraction (number of nodes with degree of 1), the degree divergence (a measure of the scale-freeness) and the degree correlation (a measure of disassortativity) were estimated. Betweenness centrality was used to estimate the centrality of the brain areas. In all frequency bands, it was evident that, the more advanced the disease, the more connected, scale-free and disassortative the brain networks. No differences were evident in specific brain areas. Such modified brain topology is sub-optimal as compared to controls. Within this framework, our study shows that brain networks become more connected according to disease staging in ALS patients.
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Registered trials
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