Evidence map›Paper›PMID 36532178›Full record

ReviewFrontiers in psychiatry2022

Resting state electroencephalography microstates in autism spectrum disorder: A mini-review.

Sushmit Das, Reza Zomorrodi, Peter G Enticott, Melissa Kirkovski, Daniel M Blumberger, Tarek K Rajji, Pushpal Desarkar

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Sushmit DasCentre for Addiction and Mental Health, Toronto, ON, Canada.
Reza ZomorrodiCentre for Addiction and Mental Health, Toronto, ON, Canada.
Peter G EnticottCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia.
Melissa KirkovskiCognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, VIC, Australia.
Daniel M BlumbergerCentre for Addiction and Mental Health, Toronto, ON, Canada.
Tarek K RajjiCentre for Addiction and Mental Health, Toronto, ON, Canada.
Pushpal DesarkarCentre for Addiction and Mental Health, Toronto, ON, Canada.
Centre for Addiction and Mental Health · CADeakin University · AUUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atypical spatial organization and temporal characteristics, found via resting state electroencephalography (EEG) microstate analysis, have been associated with psychiatric disorders but these temporal and spatial parameters are less known in autism spectrum disorder (ASD). EEG microstates reflect a short time period of stable scalp potential topography. These canonical microstates (i.e., A, B, C, and D) and more are identified by their unique topographic map, mean duration, fraction of time covered, frequency of occurrence and global explained variance percentage; a measure of how well topographical maps represent EEG data. We reviewed the current literature for resting state microstate analysis in ASD and identified eight publications. This current review indicates there is significant alterations in microstate parameters in ASD populations as compared to typically developing (TD) populations. Microstate parameters were also found to change in relation to specific cognitive processes. However, as microstate parameters are found to be changed by cognitive states, the differently acquired data (e.g., eyes closed or open) resting state EEG are likely to produce disparate results. We also review the current understanding of EEG sources of microstates and the underlying brain networks.

Indexed as

autismEEG microstateselectroencephalographymini reviewneurophysiology

Identifiers

PMID36532178
PMCPMC9752812
OpenAlexW4311066125

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.