Evidence map›Paper›PMID 37751055›Full record

ArticleBrain topography2024

EEG Microstates as Markers for Cognitive Impairments in Fragile X Syndrome.

Yukari Takarae, Anthony Zanesco, Craig A Erickson, Ernest V Pedapati

Abstract read
PubMed Publisher
In one paragraph

Article in Brain topography, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Brian Intensify: An Adaptive Machine Learning Framework for Auditory EEG Stimulation and Cognitive Enhancement in FXS.2025 3rd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings) · 2025
    Article
  4. Article
  5. Article
  6. Article
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

4 authors at 4 institutions in 1 country.

Yukari TakaraeDepartment of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento, CA, USA. ytakarae@ucdavis.edu.
Anthony ZanescoDepartment of Psychology, University of Miami, Coral Gables, FL, USA.
Craig A EricksonDivision of Child and Adolescent Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Ernest V PedapatiDivision of Child and Adolescent Psychiatry, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Cincinnati Children's Hospital Medical Center · USUniversity of California, Davis · USUniversity of Cincinnati Medical Center · USUniversity of Miami · US

Funding

Translational medicine and mechanistic studies of brain neurophysiology in Fragile X SyndromeU54HD104461 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI HUBER, KIMBERLY M. · 2020 to 2024
$8.1M
NICHD NIH HHS U54 HD104461NIH HHS U54HD104461
6 · The paper itself

Abstract

Fragile X syndrome (FXS) is one of the most common inherited causes of intellectual disabilities. While there is currently no cure for FXS, EEG is considered an important method to investigate the pathophysiology and evaluate behavioral and cognitive treatments. We conducted EEG microstate analysis to investigate resting brain dynamics in FXS participants. Resting-state recordings from 70 FXS participants and 71 chronological age-matched typically developing control (TDC) participants were used to derive microstates via modified k-means clustering. The occurrence, mean global field power (GFP), and global explained variance (GEV) of microstate C were significantly higher in the FXS group compared to the TDC group. The mean GFP was significantly negatively correlated with non-verbal IQ (NVIQ) in the FXS group, where lower NVIQ scores were associated with greater GFP. In addition, the occurrence, mean duration, mean GFP, and GEV of microstate D were significantly greater in the FXS group than the TDC group. The mean GFP and occurrence of microstate D were also correlated with individual alpha frequencies in the FXS group, where lower IAF frequencies accompanied greater microstate GFP and occurrence. Alterations in microstates C and D may be related to the two well-established cognitive characteristics of FXS, intellectual disabilities and attention impairments, suggesting that microstate parameters could serve as markers to study cognitive impairments and evaluate treatment outcomes in this population. Slowing of the alpha peak frequency and its correlation to microstate D parameters may suggest changes in thalamocortical dynamics in FXS, which could be specifically related to attention control. (250 words).

Indexed as

Cognitive DysfunctionFragile X SyndromeIntellectual DisabilityBrainElectroencephalographyHumansAlpha PowerEEG MicrostatesFragile X SyndromeIntellectual DisabilitiesResting-State Networks

Identifiers

PMID37751055
OpenAlexW4387032943

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.