ArticleJournal of psychiatry and brain science2024
A Focused Review of Gamma Neuromodulation as a Therapeutic Target in Alzheimer's Spectrum Disorders.
Article in Journal of psychiatry and brain science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed, 11 citations in OpenAlex.
- Article
- High-dimensional inference for functional regression with an application to the Alzheimer's disease magnetoencephalography study.Biostatistics (Oxford, England) · 2025Article
- Article
- γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders.Military Medical Research · 2025Review
- Neurotechnological Approaches to Cognitive Rehabilitation in Mild Cognitive Impairment: A Systematic Review of Neuromodulation, EEG, Virtual Reality, and Emerging AI Applications.Brain sciences · 2025Review
- Gene Co-Expression Analysis Reveals Functional Differences Between Early- and Late-Onset Alzheimer's Disease.Current issues in molecular biology · 2025Article
- 40 Hz visual stimulation during sleep evokes neuronal gamma activity in NREM and REM stages.Sleep · 2025Article
- Pathophysiological Insights and Multimodal Interventions in Chronic Tinnitus, Anxiety, and Sleep Disorders.Nature and science of sleep · 2025Review
- N-Glycosylation and Alzheimer's disease: A 2001-2025 global bibliometric landscape revealing emerging diagnostic trends.Journal of Alzheimer's disease reportsArticle
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The aging population of the world is increasing at an unprecedented rate which is expected to lead to a corresponding unparalleled increase in age related diseases. Of particular concern are the large number of older adults expected to develop Alzheimer's disease (AD), which will require extraordinary local, national and worldwide healthcare resources. In this context, innovative interventions are needed urgently to delay AD onset and thereby give our healthcare systems time to prepare and provide meaningful care to our aging populations. This focused review discusses the crucial role of frontal gamma oscillations as a therapeutic target to delay or ameliorate cognitive decline in AD. Frontal gamma oscillations, including from prefrontal cortical areas, serve as a biomarker for working memory and other cognitive functions, and their impairment is observed before clinical symptoms manifest. This review evaluates evidence from animal models and human subjects to highlight the correlation between gamma wave abnormalities and cognitive deterioration. Furthermore, the review summarizes 11 clinical studies using neuromodulation techniques designed to stimulate gamma oscillations in mild cognitive impairment (MCI) and AD patients, including transcranial electrical stimulation, transcranial magnetic stimulation, and rhythmic sensory stimulation. These interventions have shown promise in mitigating early-stage cognitive decline, as evidenced by improved performance on memory tests, increased gamma oscillatory responses, and some have even shown reduced brain atrophy. These early studies suggest that treatments that strengthen frontal gamma oscillatory responses through neuromodulation are a promising approach to delay cognitive decline, that may serve as an adjunct to other therapies or as a standalone treatment in some populations.
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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 OpenQuestion graph.