Evidence map›Paper›PMID 39502299›Full record

ArticleFrontiers in psychiatry2024

Functional excitation-inhibition ratio for social anxiety analysis and severity assessment.

Linh Ha Chu, Chi Que Chau, Nidal Kamel, Huong Ha Thi Thanh, Norashikin Yahya

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Linh Ha ChuCollege of Engineering and Computer Science, Center of Environmental Intelligence (CEI), Vin University, Hanoi, Vietnam.
Chi Que ChauCollege of Engineering and Computer Science, Center of Environmental Intelligence (CEI), Vin University, Hanoi, Vietnam.
Nidal KamelCollege of Engineering and Computer Science, Center of Environmental Intelligence (CEI), Vin University, Hanoi, Vietnam.
Huong Ha Thi ThanhDepartment of Tissue Engineering and Regenerative Medicine, School of Biomedical Engineering, International University, Vietnam National University, Ho Chi Minh City, Vietnam.
Norashikin YahyaDepartment of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS (UTP), Bandar Seri Iskandar, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Social anxiety disorder (SAD) is a prevalent psychiatric condition characterized by an intense fear of and avoidance of social situations. Traditional assessment methods for SAD primarily rely on subjective self-report questionnaires and clinical interviews, which can be prone to biases and inaccuracies. This study aims to explore the functional excitation-inhibition (fEI) ratio derived from EEG data as a potential objective biomarker for assessing SAD severity. Methods: Resting-state EEG data were collected from 20 control subjects and 60 individuals with varying degrees of SAD severity (mild, moderate, and severe). The fEI ratio was estimated across different EEG bands and analyzed, focusing on differences between control subjects and SAD groups. Results: Significantly higher fEI ratios were observed in the alpha and low beta EEG bands in individuals with SAD compared to controls, especially within the prefrontal cortex. Additionally, a positive correlation was found between the fEI ratio and the severity of social anxiety symptoms across SAD severity levels. Discussion: The findings indicate that the fEI ratio in the alpha and low beta bands may serve as a promising biomarker for assessing SAD severity. These results contribute to a deeper understanding of the neural mechanisms underlying social anxiety, offering a potentially more objective approach to SAD assessment compared to traditional methods.

Indexed as

default mode network (DMN)EEGexcitation inhibition balanceresting state networksocial anxiety disorder (SAD)

Identifiers

PMID39502299
PMCPMC11536370

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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.