ArticleBrain topography2023
Network Hyperexcitability in Early Alzheimer's Disease: Is Functional Connectivity a Potential Biomarker?
Article in Brain topography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Multimodal characterization of cortical hyperexcitability as a driver of cognitive decline in neurocognitive disorders: study protocol for the LENDÜLET Neurocognitive Research Project.Frontiers in aging neuroscience · 2026Article
- The rise and deceleration of neuronal excitability in aging and Alzheimer's disease: Mechanisms, implications, and therapeutic targets.Ageing research reviews · 2026Review
- Dual-site theta stimulation modulates connectivity, but not sequence memory in older adults.Brain communications · 2026Article
- Distinct manifestations of excitatory-inhibitory imbalance associated with amyloid-β and tau in patients with Alzheimer's disease.Nature communications · 2025Article
- Lower Network Functional Connectivity Is Associated With Higher Regional Tau Burden Among Those At-Risk of Alzheimer's Disease But Cognitively Unimpaired: Specific Patterns Based on Amyloid Status.Research square · 2025Article
- Interhemispheric EEG coherence as a candidate biomarker in gambling disorder: evidence of frontal hyperconnectivity and posterior disconnectivity.Frontiers in neuroscience · 2025Article
- Brain Segregation and Integration Relate to Word-Finding Abilities in Older and Younger Adults.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Imbalance in positive and negative acceleration ratio of alpha oscillation in patients with complex regional pain syndrome.Heliyon · 2024Article
- Local signal variability and functional connectivity: Sensitive measures of the excitation-inhibition ratio?Cognitive neurodynamics · 2024Article
- Article
- Epilepsy and epileptiform activity in late-onset Alzheimer disease: clinical and pathophysiological advances, gaps and conundrums.Nature reviews. Neurology · 2024Review
- Analysis of the alpha activity envelope in electroencephalography in relation to the ratio of excitatory to inhibitory neural activity.PloS one · 2024Article
- Functional network disruption in cognitively unimpaired autosomal dominant Alzheimer's disease: a magnetoencephalography study.Brain communications · 2024Article
- Network Hyperexcitability in Early-Stage Alzheimer's Disease: Evaluation of Functional Connectivity Biomarkers in a Computational Disease Model.Journal of Alzheimer's disease : JAD · 2024Article
- Hub overload and failure as a final common pathway in neurological brain network disorders.Network neuroscience (Cambridge, Mass.) · 2024Review
- Performance evaluation of metaheuristics-tuned recurrent neural networks for electroencephalography anomaly detection.Frontiers in physiology · 2023Article
- Identification of cerebrospinal fluid pharmacodynamic biomarkers and molecular correlates of brain activity in a Phase 2 clinical trial of the Alzheimer's disease drug candidate CT1812.Alzheimer's & dementia (New York, N. Y.)Article
- Replication and validation of two novel magnetoencephalography functional connectivity measures in Alzheimer's disease.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network hyperexcitability (NH) is an important feature of the pathophysiology of Alzheimer's disease. Functional connectivity (FC) of brain networks has been proposed as a potential biomarker for NH. Here we use a whole brain computational model and resting-state MEG recordings to investigate the relation between hyperexcitability and FC. Oscillatory brain activity was simulated with a Stuart Landau model on a network of 78 interconnected brain regions. FC was quantified with amplitude envelope correlation (AEC) and phase coherence (PC). MEG was recorded in 18 subjects with subjective cognitive decline (SCD) and 18 subjects with mild cognitive impairment (MCI). Functional connectivity was determined with the corrected AECc and phase lag index (PLI), in the 4-8 Hz and the 8-13 Hz bands. The excitation/inhibition balance in the model had a strong effect on both AEC and PC. This effect was different for AEC and PC, and was influenced by structural coupling strength and frequency band. Empirical FC matrices of SCD and MCI showed a good correlation with model FC for AEC, but less so for PC. For AEC the fit was best in the hyperexcitable range. We conclude that FC is sensitive to changes in E/I balance. The AEC was more sensitive than the PLI, and results were better for the thetaband than the alpha band. This conclusion was supported by fitting the model to empirical data. Our study justifies the use of functional connectivity measures as surrogate markers for E/I balance.
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