ArticleAlzheimer's research & therapy2022
Sensitive and reproducible MEG resting-state metrics of functional connectivity in Alzheimer's disease.
Article in Alzheimer's research & therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 64 citations in OpenAlex.
- Connectome-Guided Personalization of Optimal TDCS Intervention Selection in Alzheimer's Disease: A Modeling Study.eNeuro · 2026Article
- Magnetoencephalography in human neuroscience research: planning, piloting, implementation and quality assurance.Nature protocols · 2026Review
- Quantitative Electroencephalogram Changes before and after Postoperative Delirium: A Prospective, Multicenter Cohort Study.Anesthesiology · 2026Article
- Frequency-Resolved Cortical Functional Connectivity Across the Adult Lifespan.Human brain mapping · 2026Article
- Divergence of cortical neurophysiology across different neurodegenerative disorders compared to healthy ageing.Progress in neurobiology · 2026Article
- Plasma p-tau231 and NfL differently associate with functional connectivity patterns in cognitively unimpaired individuals.GeroScience · 2026Article
- Dynamics of brain connectivity across the Alzheimer's disease spectrum through magnetoencephalography.Scientific reports · 2026Article
- Frequency-resolved cortical functional connectivity across the adult lifespan.bioRxiv : the preprint server for biology · 2026Article
- Static and dynamic intracerebral signal analysis reveals protective networks against seizures in drug-resistant focal epilepsy.Brain communications · 2026Article
- Neurophysiological signatures of default mode network dysfunction and cognitive decline in Alzheimer's disease.Science advances · 2025Article
- Reliability and state-dependency of EEG connectivity, complexity and network characteristics.Scientific reports · 2025Article
- Qualitative and Quantitative Comparative Analysis of Common Normal Variants and Physiological Artifacts in MEG and EEG.Brain topography · 2025Article
- Superconducting Quantum Magnetometers for Brain Investigations.Sensors (Basel, Switzerland) · 2025Review
- Neurophysiological Progression in Alzheimer's Disease: Insights From Dynamic Causal Modelling of Longitudinal Magnetoencephalography.Human brain mapping · 2025Article
- A Novel Working Memory Task-Induced EEG Response (WM-TIER) Feature Extraction Framework for Detecting Alzheimer's Disease and Mild Cognitive Impairment.Biosensors · 2025Article
- A Shift Toward Supercritical Brain Dynamics Predicts Alzheimer's Disease Progression.The Journal of neuroscience : the official journal of the Society for Neuroscience · 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
- Amyloid-β deposition predicts oscillatory slowing of magnetoencephalography signals and a reduction of functional connectivity over time in cognitively unimpaired adults.Brain communications · 2025Article
- Resting-state EEG alterations and cognitive impairment in atrial fibrillation: insights into neural biomarkers and functional connectivity.Frontiers in neurology · 2025Article
- Longitudinal changes in MEG-based brain network topology of ALS patients with cognitive/behavioral impairment-An exploratory study.Network neuroscience (Cambridge, Mass.) · 2025Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAnalysis of functional brain networks in Alzheimer's disease (AD) has been hampered by a lack of reproducible, yet valid metrics of functional connectivity (FC). This study aimed to assess both the sensitivity and reproducibility of the corrected amplitude envelope correlation (AEC-c) and phase lag index (PLI), two metrics of FC that are insensitive to the effects of volume conduction and field spread, in two separate cohorts of patients with dementia due to AD versus healthy elderly controls.
methodsSubjects with a clinical diagnosis of AD dementia with biomarker proof, and a control group of subjective cognitive decline (SCD), underwent two 5-min resting-state MEG recordings. Data consisted of a test (AD = 28; SCD = 29) and validation (AD = 29; SCD = 27) cohort. Time-series were estimated for 90 regions of interest (ROIs) in the automated anatomical labelling (AAL) atlas. For each of five canonical frequency bands, the AEC-c and PLI were calculated between all 90 ROIs, and connections were averaged per ROI. General linear models were constructed to compare the global FC differences between the groups, assess the reproducibility, and evaluate the effects of age and relative power. Reproducibility of the regional FC differences was assessed using the Mann-Whitney U tests, with correction for multiple testing using the false discovery rate (FDR).
resultsThe AEC-c showed significantly and reproducibly lower global FC for the AD group compared to SCD, in the alpha (8-13 Hz) and beta (13-30 Hz) bands, while the PLI revealed reproducibly lower FC for the AD group in the delta (0.5-4 Hz) band and higher FC for the theta (4-8 Hz) band. Regionally, the beta band AEC-c showed reproducibility for almost all ROIs (except for 13 ROIs in the frontal and temporal lobes). For the other bands, the AEC-c and PLI did not show regional reproducibility after FDR correction. The theta band PLI was susceptible to the effect of relative power.
conclusionFor MEG, the AEC-c is a sensitive and reproducible metric, able to distinguish FC differences between patients with AD dementia and cognitively healthy controls. These two measures likely reflect different aspects of neural activity and show differential sensitivity to changes in neural dynamics.
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