Evidence map›Paper›PMID 36057818›Full record

ArticleJournal of Alzheimer's disease : JAD2022

Theta Band-Power Shapes Amyloid-Driven Longitudinal EEG Changes in Elderly Subjective Memory Complainers At-Risk for Alzheimer's Disease.

Giuseppe Spinelli, Hovagim Bakardjian, Denis Schwartz, Marie-Claude Potier, Marie-Odile Habert, Marcel Levy, Bruno Dubois, Nathalie George, INSIGHT-preAD Study Group

Open access · hybridAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

16 citing papers in PubMed, 25 citations in OpenAlex.

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  6. Machine learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer's disease and normal aging.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025
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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

9 authors at 2 institutions in 1 country.

Giuseppe SpinelliInstitut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Sorbonne Université, Hôpital de la Pitié Salpêtrière, Centre MEG-EEG, CENIR, Paris, France.
Hovagim BakardjianInstitute of Memory and Alzheimer's Disease (IM2A), Department of Neurology, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France.
Denis SchwartzCERMEP-Imagerie du Vivant, Lyon, France.
Marie-Claude PotierInstitut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Sorbonne Université, Hôpital de la Pitié Salpêtrière, Centre MEG-EEG, CENIR, Paris, France.
Marie-Odile HabertCNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Sorbonne Université, Paris, France.
Marcel LevyInstitute of Memory and Alzheimer's Disease (IM2A), Department of Neurology, AP-HP, Hôpital de la Pitié-Salpêtrière, Paris, France.
Bruno DuboisInstitut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Sorbonne Université, Hôpital de la Pitié Salpêtrière, Centre MEG-EEG, CENIR, Paris, France.
Nathalie GeorgeInstitut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Sorbonne Université, Hôpital de la Pitié Salpêtrière, Centre MEG-EEG, CENIR, Paris, France.
INSIGHT-preAD Study Group
Centre National de la Recherche Scientifique · FRSorbonne Université · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) includes progressive symptoms spread along a continuum of preclinical and clinical stages. Although numerous studies uncovered the neuro-cognitive changes of AD, very little is known on the natural history of brain lesions and modifications of brain networks in elderly cognitively-healthy memory complainers at risk of AD for carrying pathophysiological biomarkers (amyloidopathy and tauopathy).

objectiveWe analyzed resting-state electroencephalography (EEG) of 318 cognitively-healthy subjective memory complainers from the INSIGHT-preAD cohort at the time of their first visit (M0) and two-years later (M24).

methodsUsing 18F-florbetapir PET-scanner, subjects were stratified between amyloid negative (A-; n = 230) and positive (A+; n = 88) groups. Differences between A+ and A- were estimated at source-level in each band-power of the EEG spectrum.

resultsAt M0, we found an increase of theta power in the mid-frontal cortex in A+ compared to A-. No significant association was found between mid-frontal theta and the individuals' cognitive performance. At M24, theta power increased in A+ relative to A- individuals in the posterior cingulate cortex and the pre-cuneus. Alpha band revealed a peculiar decremental trend in posterior brain regions in the A+ relative to the A- group only at M24. Theta power increase over the mid-frontal and mid-posterior cortices suggests an hypoactivation of the default-mode network in the A+ individuals and a non-linear longitudinal progression at M24.

conclusionWe provide the first source-level longitudinal evidence on the impact of brain amyloidosis on the EEG dynamics of a large-scale, monocentric cohort of elderly individuals at-risk for AD.

Indexed as

Alzheimer DiseaseAmyloidosisAgedAmyloidAmyloidogenic ProteinsBrainElectroencephalographyHumansMagnetic Resonance ImagingPositron-Emission TomographyAmyloidAmyloidogenic ProteinsAlzheimer’s diseaseamyloidosisEEGINSIGHT-preAD studypre-clinical

Identifiers

PMID36057818
PMCPMC9661330
OpenAlexW4294266493

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.