Evidence map›Paper›PMID 41762309›Full record

ArticleBrain topography2026

Evidence from EEG of Abnormal Functional Connectivity and Microstates in GAD and PD.

Danfeng Yuan, Xiangyun Yang, Pengchong Wang, Wenpeng Hou, Zhanjiang Li

Abstract read
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In one paragraph

Article in Brain topography, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Danfeng YuanBeijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, National Center for Mental Disorders, Capital Medical University, Beijing, China.
Xiangyun YangBeijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, National Center for Mental Disorders, Capital Medical University, Beijing, China.
Pengchong WangBeijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, National Center for Mental Disorders, Capital Medical University, Beijing, China.
Wenpeng HouBeijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, National Center for Mental Disorders, Capital Medical University, Beijing, China.
Zhanjiang LiBeijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, National Center for Mental Disorders, Capital Medical University, Beijing, China. lizhj8@ccmu.edu.cn.

Funding

the Science and Technology Innovation 2030 -Major Project on Brain Science and Brain-like Research 2021ZD0202004
6 · The paper itself

Abstract

Panic disorder (PD) and generalized anxiety disorder (GAD) are among the most prevalent anxiety disorders (ADs), yet their neural mechanisms remain unclear. This study aimed to characterize EEG microstate patterns and their functional connectivity (FC) in patients with GAD and PD to explore the neural mechanisms underlying anxiety symptoms. Resting-state EEG was collected from 35 patients with PD, 31 patients with GAD, and 39 healthy controls (HCs). Four microstate classes (A-D) were selected to calculate the parameters, including the mean duration, time coverage, occurrence, mean global field power (GFP), and transitions. Furthermore, the FC patterns underlying each microstate class were analyzed. Correlation analyses were performed between anxiety symptoms and microstate metrics. Compared with HCs, ADs presented increased duration of microstate D and decreased time coverage of microstate A, suggesting altered neural dynamics in ADs, characterized by impaired sensory processing and executive functioning.The correlation analysis revealed that the features of microstate C (associated with self-referential processing) were positively correlated with anxiety symptoms. In contrast, the features of microstates A and B (involved in sensory network functioning) showed consistent negative correlations with anxiety symptoms. Furthermore, PD and GAD groups exhibited distinct FC patterns within microstate A. These FC differences in microstate A demonstrated potential value in distinguishing between GAD and PD.

Indexed as

Anxiety DisordersBrainElectroencephalographyGeneralized Anxiety DisorderPanic DisorderAdultBrain MappingFemaleHumansMaleMiddle AgedNeural PathwaysElectroencephalogramFunctional connectivityGeneralized anxiety disorderMicrostatePanic disorder

Identifiers

PMID41762309

What Socratic 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 Socratic graph.