ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2021
Routine magnetoencephalography in memory clinic patients: A machine learning approach.
Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 17 citations in OpenAlex.
- Task-Related EEG as a Biomarker for Preclinical Alzheimer's Disease: An Explainable Deep Learning Approach.Biomimetics (Basel, Switzerland) · 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
- A novel, robust, and portable platform for magnetoencephalography using optically-pumped magnetometers.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- A Novel, Robust, and Portable Platform for Magnetoencephalography using Optically Pumped Magnetometers.bioRxiv : the preprint server for biology · 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
- Resting-state oscillations reveal disturbed excitation-inhibition ratio in Alzheimer's disease patients.Scientific reports · 2023Article
- A multiscale brain network model links Alzheimer's disease-mediated neuronal hyperactivity to large-scale oscillatory slowing.Alzheimer's research & therapy · 2022Article
- Network-level permutation entropy of resting-state MEG recordings: A novel biomarker for early-stage Alzheimer's disease?Network neuroscience (Cambridge, Mass.) · 2022Article
- Oscillatory Activity of the Hippocampus in Prodromal Alzheimer's Disease: A Source-Space Magnetoencephalography Study.Journal of Alzheimer's disease : JAD · 2022Article
- Routine magnetoencephalography in memory clinic patients: A machine learning approach.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
- Recent contributions to the field of subjective cognitive decline in aging: A literature review.Alzheimer's & dementia (Amsterdam, Netherlands)Review
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionWe report the routine application of magnetoencephalography (MEG) in a memory clinic, and its value in the discrimination of patients with Alzheimer's disease (AD) dementia from controls.
methodsThree hundred sixty-six patients visiting our memory clinic underwent MEG recording. Source-reconstructed MEG data were visually assessed and evaluated in the context of clinical findings and other diagnostic markers. We analyzed the diagnostic accuracy of MEG spectral measures in the discrimination of individual AD dementia patients (n = 40) from subjective cognitive decline (SCD) patients (n = 40) using random forest models.
resultsBest discrimination was obtained using a combination of relative theta and delta power (accuracy 0.846, sensitivity 0.855, specificity 0.837). The results were validated in an independent cohort. Hippocampal and thalamic regions, besides temporal-occipital lobes, contributed considerably to the model. DISCUSSION: MEG has been implemented successfully in the workup of memory clinic patients and has value in diagnostic decision-making.
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