ArticleScientific reports2016
EEG functional network topology is associated with disability in patients with amyotrophic lateral sclerosis.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 42 citations in OpenAlex.
- Review
- Hierarchical attention enhanced deep learning achieves high precision motor imagery classification in brain computer interfaces.Scientific reports · 2025Article
- Resting-State EEG Oscillations in Amyotrophic Lateral Sclerosis (ALS): Toward Mechanistic Insights and Clinical Markers.Journal of clinical medicine · 2025Review
- Novel approaches to EEG and MEG in motor neurone disease: IFCN Handbook Chapter.Clinical neurophysiology practice · 2025Review
- Longitudinal changes in MEG-based brain network topology of ALS patients with cognitive/behavioral impairment-An exploratory study.Network neuroscience (Cambridge, Mass.) · 2025Article
- Subject-Independent Emotion Recognition Based on EEG Frequency Band Features and Self-Adaptive Graph Construction.Brain sciences · 2024Article
- Who is WithMe? EEG features for attention in a visual task, with auditory and rhythmic support.Frontiers in neuroscience · 2024Article
- Automatic detection of ALS from single-trial MEG signals during speech tasks: a pilot study.Frontiers in psychology · 2024Article
- The cortical neurophysiological signature of amyotrophic lateral sclerosis.Brain communications · 2024Article
- 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
- Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis.Brain : a journal of neurology · 2022Article
- A survey of brain network analysis by electroencephalographic signals.Cognitive neurodynamics · 2022Article
- Brain Connectivity and Network Analysis in Amyotrophic Lateral Sclerosis.Neurology research international · 2022Review
- Dynamic Alterations in Functional Connectivity Density in Amyotrophic Lateral Sclerosis: A Resting-State Functional Magnetic Resonance Imaging Study.Frontiers in aging neuroscience · 2022Article
- Functional Connectivity and Frequency Power Alterations during P300 Task as a Result of Amyotrophic Lateral Sclerosis.Sensors (Basel, Switzerland) · 2021Article
- Decreased resting-state alpha-band activation and functional connectivity after sleep deprivation.Scientific reports · 2021Article
- Special Patterns of Dynamic Brain Networks Discriminate Between Face and Non-face Processing: A Single-Trial EEG Study.Frontiers in neuroscience · 2021Article
- Uncertainty in Functional Network Representations of Brain Activity of Alcoholic Patients.Brain topography · 2021Article
- Electrical and Hemodynamic Neural Functions in People With ALS: An EEG-fNIRS Resting-State Study.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2020Article
- Frontal Functional Network Disruption Associated with Amyotrophic Lateral Sclerosis: An fNIRS-Based Minimum Spanning Tree Analysis.Frontiers in neuroscience · 2020Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amyotrophic Lateral Sclerosis (ALS) is one of the most severe neurodegenerative diseases, which is known to affect upper and lower motor neurons. In contrast to the classical tenet that ALS represents the outcome of extensive and progressive impairment of a fixed set of motor connections, recent neuroimaging findings suggest that the disease spreads along vast non-motor connections. Here, we hypothesised that functional network topology is perturbed in ALS, and that this reorganization is associated with disability. We tested this hypothesis in 21 patients affected by ALS at several stages of impairment using resting-state electroencephalography (EEG) and compared the results to 16 age-matched healthy controls. We estimated functional connectivity using the Phase Lag Index (PLI), and characterized the network topology using the minimum spanning tree (MST). We found a significant difference between groups in terms of MST dissimilarity and MST leaf fraction in the beta band. Moreover, some MST parameters (leaf, hierarchy and kappa) significantly correlated with disability. These findings suggest that the topology of resting-state functional networks in ALS is affected by the disease in relation to disability. EEG network analysis may be of help in monitoring and evaluating the clinical status of ALS patients.
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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.