Evidence map›Paper›PMID 23730529›Full record

ArticleAging and disease2013

Hippocampal oscillatory activity in Alzheimer's disease: toward the identification of early biomarkers?

Romain Goutagny, Slavica Krantic

Abstract read
In one paragraph

Article in Aging and disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Romain GoutagnyLaboratoire de Neurosciences Comportementales et Adaptatives (LNCA),Centre National de la Recherche Scientifique (CNRS), F-67000 Strasbourg, France. ; Université de Strasbourg, Faculté de Psychologie, F-67000 Strasbourg, France.
Slavica Krantic

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) develops for a yet unknown period of time and can progress undiagnosed for years before its first clinical manifestation consisting of characteristic cognitive impairments. Current AD treatments offer only a small symptomatic benefit, likely because AD is diagnosed when the pathology is already well advanced, whereas treatments may be most efficient in the early phases of pathology. An accurate, early marker of AD is therefore needed to help diagnose AD earlier. It is now well documented that AD patients and animal models of AD exhibit reorganization of hippocampal and cortical networks. This reorganization is initiated by an early imbalance between excitation and inhibition, leading to altered network activity. The mechanisms underlying these changes are unknown but recent evidence suggests that either soluble amyloid-beta (Aß) or fibrillar forms of Aß are central to various network alterations observed in AD. However, recent evidence also suggests that Aβ over-production in animal models is not systematically linked to network over-excitation. We hypothesize here that early changes in the excitation-inhibition balance within the hippocampus occurs much earlier than currently believed and initially produces only slight changes in overall hippocampal activity. In this review, we introduce the concept according to which the subtle changes in theta and gamma rhythms might occur during the very first stages of AD and thus could be used as a possible predictor for the disease.

Indexed as

Aβgamma oscillationshippocampusOscillatory activitytheta rhythm

Identifiers

PMID23730529
PMCPMC3660123

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.