ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2019
Biomagnetic biomarkers for dementia: A pilot multicentre study with a recommended methodological framework for magnetoencephalography.
Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The neurophysiology of healthy and pathological aging: a comprehensive systematic review.Brain structure & function · 2025Pooled it
- Robust and replicable effects of ageing on resting-state brain electrophysiology measured with MEG.eLife · 2026Article
- Revolutionizing Pediatric Neurophysiology With Magnetoencephalography.Psychophysiology · 2026Review
- Abnormal hippocampo-cortical theta-gamma phase-amplitude coupling in Alzheimer's disease.medRxiv : the preprint server for health sciences · 2026Article
- Attenuated neural activity in processing decision-making feedback in uncertain conditions in patients with mild cognitive impairment.European archives of psychiatry and clinical neuroscience · 2025Article
- Article
- Neurophysiological trajectories in Alzheimer's disease progression.bioRxiv : the preprint server for biology · 2024Article
- Functional network disruption in cognitively unimpaired autosomal dominant Alzheimer's disease: a magnetoencephalography study.Brain communications · 2024Article
- Source space connectomics of neurodegeneration: One-metric approach does not fit all.Neurobiology of disease · 2023Article
- New Therapeutics in Alzheimer's Disease Longitudinal Cohort study (NTAD): study protocol.BMJ open · 2022Article
- A multi-site, multi-participant magnetoencephalography resting-state dataset to study dementia: The BioFIND dataset.NeuroImage · 2022Article
- Network-level permutation entropy of resting-state MEG recordings: A novel biomarker for early-stage Alzheimer's disease?Network neuroscience (Cambridge, Mass.) · 2022Article
- Article
- Sensitive and reproducible MEG resting-state metrics of functional connectivity in Alzheimer's disease.Alzheimer's research & therapy · 2022Article
- Neurophysiological and Brain Structural Markers of Cognitive Frailty Differ from Alzheimer's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Distinct Effects of the Apolipoprotein E ε4 Genotype on Associations Between Delayed Recall Performance and Resting-State Electroencephalography Theta Power in Elderly People Without Dementia.Frontiers in aging neuroscience · 2022Article
- Oscillatory Activity of the Hippocampus in Prodromal Alzheimer's Disease: A Source-Space Magnetoencephalography Study.Journal of Alzheimer's disease : JAD · 2022Article
- Delineating between-subject heterogeneity in alpha networks with Spatio-Spectral Eigenmodes.NeuroImage · 2021Article
- Routine magnetoencephalography in memory clinic patients: A machine learning approach.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
- The Menstrual Cycle Alters Resting-State Cortical Activity: A Magnetoencephalography Study.Frontiers in human neuroscience · 2021Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
introductionAn increasing number of studies are using magnetoencephalography (MEG) to study dementia. Here we define a common methodological framework for MEG resting-state acquisition and analysis to facilitate the pooling of data from different sites.
methodsTwo groups of patients with mild cognitive impairment (MCI, n = 84) and healthy controls (n = 84) were combined from three sites, and site and group differences inspected in terms of power spectra and functional connectivity. Classification accuracy for MCI versus controls was compared across three different types of MEG analyses, and compared with classification based on structural MRI.
resultsThe spectral analyses confirmed frequency-specific differences in patients with MCI, both in power and connectivity patterns, with highest classification accuracy from connectivity. Critically, site acquisition differences did not dominate the results. DISCUSSION: This work provides detailed protocols and analyses that are sensitive to cognitive impairment, and that will enable standardized data sharing to facilitate large-scale collaborative projects.
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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.