Evidence map›Paper›PMID 40800811›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

High-power transient 12-30 Hz beta event features as early biomarkers of Alzheimer's disease conversion: An MEG study.

Danylyna Shpakivska-Bilan, Gianluca Susi, David W Zhou, Jesus Cabrera, Blanca P Carvajal, Ernesto Pereda, Maria Eugenia Lopez, Ricardo Bruña, Fernando Maestu, Stephanie R Jones

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Danylyna Shpakivska-BilanDepartment of Experimental Psychology, School of Psychology, Complutense University of Madrid, Madrid, Spain.ORCID https://orcid.org/0009-0000-6661-1099
Gianluca SusiCenter for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain.
David W ZhouCarney Institute for Brain Sciences, Brown University, Providence, RI, United States.
Jesus CabreraDepartment of Experimental Psychology, School of Psychology, Complutense University of Madrid, Madrid, Spain.
Blanca P CarvajalDepartment of Experimental Psychology, School of Psychology, Complutense University of Madrid, Madrid, Spain.
Ernesto PeredaDepartment of Industrial Engineering and Institute of Biomedical Technology, Universidad de La Laguna, La Laguna, Tenerife, Spain.
Maria Eugenia LopezDepartment of Experimental Psychology, School of Psychology, Complutense University of Madrid, Madrid, Spain.
Ricardo BruñaCenter for Cognitive and Computational Neuroscience, Complutense University of Madrid, Madrid, Spain.
Fernando MaestuDepartment of Experimental Psychology, School of Psychology, Complutense University of Madrid, Madrid, Spain.
Stephanie R JonesCarney Institute for Brain Sciences, Brown University, Providence, RI, United States.

Funding

Secondary analysis of resting state MEG data using the Human Neocortical Neurosolver software tool for cellular and circuit-level interpretationRF1MH130415 · NIMH · BROWN UNIVERSITY · PI JONES, STEPHANIE RUGGIANO · 2022 to 2022
$1.2M
CRCNS: US-Spain Research Proposal: Interpreting MEG Biomarkers of Alzheimer's Progression with Human Neocortical NeurosolverR01AG076227 · NIA · BROWN UNIVERSITY · PI JONES, STEPHANIE RUGGIANO · 2021 to 2023
$717k
NIA NIH HHS R01 AG076227NIMH NIH HHS RF1 MH130415
6 · The paper itself

Abstract

A typical pattern observed in M/EEG recordings of mild cognitive impairment (MCI) patients progressing to Alzheimer's disease (AD) is a continuous slowing of brain oscillatory activity. Definitions of oscillatory slowing are imprecise, as they average across time and frequency bands, masking the finer structure in the signal and potential reliable biomarkers of the disease progression. Recent studies show that high averaged band power can result from transient increases in power, termed "events" or "bursts." To better understand MEG oscillatory slowing in AD progression, we analyzed features of high-power oscillatory events and their relationship with cognitive decline. MEG resting-state oscillations were recorded in age-matched patients with MCI who later convert (CONV, N = 41) or do not convert (NOCONV, N = 44) to AD, in a period of 2.5 years. To distinguish future CONV from NOCONV, we characterized the rate, duration, frequency span, and power of transient high-power events in the alpha and beta band in two regions of interest in the "X" model of AD progression: anterior cingulate cortex (ACC) and precuneus (PC). Results revealed event-like patterns in resting-state power in both the alpha and beta bands, however, only beta-band features were predictive of conversion to AD, particularly in PC. Specifically, compared with NOCONV, CONV had a lower number of beta events, along with lower power events and a trend toward shorter duration events in PC (

Indexed as

Alzheimer’s Diseasecomputational neurosciencemagnetoencephalographymild cognitive impairmenttransient high-power events

Identifiers

PMID40800811
PMCPMC12330844

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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.