SynthesisAlzheimer's & dementia : the journal of the Alzheimer's Association2025
Tracking electrophysiological signatures of Alzheimer's disease: a systematic review of multimodal studies.
Synthesis in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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.
The trial behind it
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Tracking electrophysiological signatures of Alzheimer's disease: a systematic review of multimodal studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Pooled it
- Artificial Intelligence for Alzheimer's Disease Diagnosis: From Traditional Machine Learning to Large Language Models.Biosensors · 2026Review
- Electroencephalography Functional Network Responses to Immersive Virtual Reality in Alzheimer Disease and Mild Cognitive Impairment: Exploratory Single-Session 3-Group Repeated-Measures Study.JMIR serious games · 2026Article
- The use of electroencephalography in neurodegenerative disease and its utility in dementia.NPJ dementia · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
We conducted a review of the electrophysiological manifestations of Alzheimer's disease (AD) as captured by electroencephalography (EEG) and magnetoencephalography (MEG), with a focus on tracking their evolution through disease progression. To link electrophysiological features to the underlying neurobiology of AD, we prioritized studies that integrated EEG/MEG with other data modalities, such as positron emission tomography (PET) imaging and/or fluid biomarkers (cerebrospinal fluid [CSF] or blood/plasma) of amyloid beta (Aβ) and tau. Our analysis contextualizes these findings within current mechanistic hypotheses of AD pathophysiology. A key highlight of the present review is that electrophysiological changes along the AD disease progression may follow a non-monotonic trajectory, underscoring a need for caution when developing biomarkers for early detection or staging the disease with non-invasive electrophysiology. We also discuss outstanding challenges in the interplay between AD pathology and electrophysiological dynamics. This review highlights the potential of multimodal approaches to refining our understanding of AD and improving its early diagnosis. HIGHLIGHTS: A systematic review of electrophysiological signatures of AD in multimodal studies. Existing findings are contextualized with AD pathophysiology and neurobiology. Electrophysiological signatures of AD evolve in a dynamic, non-linear fashion.
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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.