ReviewNetwork neuroscience (Cambridge, Mass.)2024
Hub overload and failure as a final common pathway in neurological brain network disorders.
Review in Network neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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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.
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Who cites it
33 citing papers in PubMed, 33 citations in OpenAlex.
- Alzheimer's Disease as a Multi-Layer Network Disorder: A Systems Biology Framework Integrating Multi-Omics Mechanisms.Biomedicines · 2026Review
- Longitudinal connectomics-based tractometry for characterizing white matter reorganization following brain tumor surgery: a proof-of-concept case series.Journal of neuro-oncology · 2026Article
- Microbiome-metabolite signaling networks in gastrointestinal disease: systems biology, network rewiring, and precision therapeutics.Archives of microbiology · 2026Review
- Categorization is 'baked' into the brain.Nature reviews. Neuroscience · 2026Review
- Identifying neurophenotypes of major depressive disorder through normative model of regional homogeneity.Translational psychiatry · 2026Article
- Altered structural networks and cognitive functioning in long-term survivors of pediatric brain tumors.Neuroimage. Reports · 2026Article
- Algebraic Connectivity Reveals Modulated High-Order Functional Networks in Alzheimer's Disease.ArXiv · 2026Article
- Altered spatial patterns of intrinsic brain activity and cognitive decline in colorectal cancer survivors.Journal of cancer survivorship : research and practice · 2026Article
- Digital twins support cross-modal and cross-centric classification of mild cognitive impairment.Communications medicine · 2026Article
- Structure-function multilayer network integration and cognition in multiple sclerosis.Network neuroscience (Cambridge, Mass.) · 2026Article
- Connectome-based mapping of gray matter abnormalities in hepatic encephalopathy.Frontiers in medicine · 2026Article
- Microscale dysfunction and mesoscale compensation in degenerating neuronal networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Electroencephalography for early Alzheimer's disease diagnosis: from advanced feature engineering to interpretable ai and clinical translation.Frontiers in psychiatry · 2026Review
- Multimodal MRI Radiomics and Machine Learning Identify Node-Level Structural and Functional Alterations in HIV-Associated Asymptomatic Neurocognitive Impairment.Neuropsychiatric disease and treatment · 2026Article
- Gamma-band cortical functional network abnormalities in late-life depression with suicidal ideation: insights from EEG graph theory and machine learning.Journal of psychiatry & neuroscience : JPN · 2026Article
- Amyloid-β acute exposition affects the CA1 hippocampal network activity and its topological organization, evaluated with multielectrode arrays.Frontiers in dementia · 2026Article
- Review
- Non-invasive brain stimulation: current and future applications in neurology.Nature reviews. Neurology · 2025Review
- Neurogenic organ dysfunction syndrome after acute brain injury.Military Medical Research · 2025Review
- Early structural hub disruption leads to premature functional adaption in multiple sclerosis.Brain structure & function · 2025Article
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
Understanding the concept of network hubs and their role in brain disease is now rapidly becoming important for clinical neurology. Hub nodes in brain networks are areas highly connected to the rest of the brain, which handle a large part of all the network traffic. They also show high levels of neural activity and metabolism, which makes them vulnerable to many different types of pathology. The present review examines recent evidence for the prevalence and nature of hub involvement in a variety of neurological disorders, emphasizing common themes across different types of pathology. In focal epilepsy, pathological hubs may play a role in spreading of seizure activity, and removal of such hub nodes is associated with improved outcome. In stroke, damage to hubs is associated with impaired cognitive recovery. Breakdown of optimal brain network organization in multiple sclerosis is accompanied by cognitive dysfunction. In Alzheimer's disease, hyperactive hub nodes are directly associated with amyloid-beta and tau pathology. Early and reliable detection of hub pathology and disturbed connectivity in Alzheimer's disease with imaging and neurophysiological techniques opens up opportunities to detect patients with a network hyperexcitability profile, who could benefit from treatment with anti-epileptic drugs.
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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 Socratic graph.