ArticleEuropean archives of psychiatry and clinical neuroscience2026
Disrupted brain network dynamics and cognitive dysfunction in drug-naive major depressive disorder: an EEG microstate study.
Article in European archives of psychiatry and clinical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Analysis of EEG microstate transition patterns and multi-instance learning-based recognition model for depression.Medical & biological engineering & computing · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Dysfunctions in brain network dynamics have been linked to emotional disorders. However, there is limited research exploring the connection between resting-state EEG brain networks and cognitive functions in individuals with Major Depressive Disorder (MDD). The objective of this study is to examine irregular brain network activity and its relationship with cognitive performance, utilizing EEG microstates, in order to shed light on the underlying neuropathological mechanisms of MDD. This study included 68 drug-naïve MDD individuals and 50 healthy control participants (HCs). Demographic data were collected, and cognitive function assessments were performed. Concurrently, resting-state brain activity was captured using a 64-channel EEG. Additionally, Pearson correlation analysis was used to explored the relationship between these factors in MDD patients. We identified four distinct EEG microstate topographic maps. In comparison with the healthy control group, the coverage, duration, and occurrence of microstates A and D were significantly diminished, whereas those of microstate B were markedly increased. The performance on various neurocognitive tests (Trail Making Test [TMT], Symbol Digit Modalities Test [SDMT], Stroop Color-Word Test [SCWT]) for the MDD group was consistently lower than that of the HCs. In the MDD patients, all parameters of microstate A exhibited a negative correlation with Stroop's color-naming and word-color time, while the coverage and duration of microstate D correlated positively with scores on the SDMT. Our study indicated that individuals with MDD display aberrant microstate dynamics, and these results corroborate the link between alterations in microstate activity and cognitive function in MDD patients.
Indexed as
Identifiers
41563437What OpenQuestion holds
Registered trials
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.