ReviewJournal of neurology, neurosurgery, and psychiatry2019
Measuring network disruption in neurodegenerative diseases: New approaches using signal analysis.
Review in Journal of neurology, neurosurgery, and psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.
What it found
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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
42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- The nature of fatigue in amyotrophic lateral sclerosis: a systematic review and meta-analysis.Acta neurologica Belgica · 2025Pooled it
- Exploring easily accessible neurophysiological biomarkers for predicting Alzheimer's disease progression: a systematic review.Alzheimer's research & therapy · 2024Pooled it
- Brain-First vs. Body-First Models in Neurodegenerative Disease: A Perspective Review.NeuroSci · 2026Review
- Role of disturbed structural connectivity network in patients with white matter lesions and cognitive impairment revealed by diffusion-tensor magnetic resonance imaging.The Journal of international medical research · 2026Article
- Screen, Sample, Stratify: Biomarkers and Machine Learning Compress Dementia Pathways.Biomedicines · 2026Article
- Neurophysiological biomarkers of networks impairment in amyotrophic lateral sclerosis.Journal of neurology · 2025Review
- Decoding dynamic brain networks in Parkinson's disease with temporal attention.Scientific reports · 2025Article
- Novel approaches to EEG and MEG in motor neurone disease: IFCN Handbook Chapter.Clinical neurophysiology practice · 2025Review
- Encephalography cross-frequency coupling and brain alteration in amyotrophic lateral sclerosis.Brain communications · 2025Article
- Differentiating neurodegenerative diseases based on EEG complexity.Scientific reports · 2024Article
- Distinct Longitudinal Changes in EEG Measures Reflecting Functional Network Disruption in ALS Cognitive Phenotypes.Brain topography · 2024Article
- Polyglutamine (PolyQ) Diseases: Navigating the Landscape of Neurodegeneration.ACS chemical neuroscience · 2024Review
- Electroencephalographic β-band oscillations in the sensorimotor network reflect motor symptom severity in amyotrophic lateral sclerosis.European journal of neurology · 2024Article
- Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases.Sensors (Basel, Switzerland) · 2024Article
- Targeting synapse function and loss for treatment of neurodegenerative diseases.Nature reviews. Drug discovery · 2024Review
- Identification of neurotoxicology (NT)/developmental neurotoxicology (DNT) adverse outcome pathways and key event linkages with in vitro DNT screening assays.Neurotoxicology · 2023Review
- Biomarkers in amyotrophic lateral sclerosis: current status and future prospects.Nature reviews. Neurology · 2023Review
- Multicohort cross-sectional study of cognitive and behavioural digital biomarkers in neurodegeneration: the Living Lab Study protocol.BMJ open · 2023Article
- An imbalance of netrin-1 and DCC during nigral degeneration in experimental models and patients with Parkinson's disease.CNS neuroscience & therapeutics · 2023Article
- Cortico-muscular coherence in primary lateral sclerosis reveals abnormal cortical engagement during motor function beyond primary motor areas.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Advanced neuroimaging has increased understanding of the pathogenesis and spread of disease, and offered new therapeutic targets. MRI and positron emission tomography have shown that neurodegenerative diseases including Alzheimer's disease (AD), Lewy body dementia (LBD), Parkinson's disease (PD), frontotemporal dementia (FTD), amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS) are associated with changes in brain networks. However, the underlying neurophysiological pathways driving pathological processes are poorly defined. The gap between what imaging can discern and underlying pathophysiology can now be addressed by advanced techniques that explore the cortical neural synchronisation, excitability and functional connectivity that underpin cognitive, motor, sensory and other functions. Transcranial magnetic stimulation can show changes in focal excitability in cortical and transcortical motor circuits, while electroencephalography and magnetoencephalography can now record cortical neural synchronisation and connectivity with good temporal and spatial resolution.Here we reflect on the most promising new approaches to measuring network disruption in AD, LBD, PD, FTD, MS, and ALS. We consider the most groundbreaking and clinically promising studies in this field. We outline the limitations of these techniques and how they can be tackled and discuss how these novel approaches can assist in clinical trials by predicting and monitoring progression of neurophysiological changes underpinning clinical symptomatology.
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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.