ArticleScientific reports2021
EEG microstate features according to performance on a mental arithmetic task.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
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Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Utilization of EEG microstates as a prospective biomarker for assessing the impact of ketogenic diet in GLUT1-DS.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Pooled it
- Analgesic effects of high-frequency rTMS on pain anticipation and perception.Communications biology · 2024Trial
- MountPat: investigations on the EEG signals.Cognitive neurodynamics · 2026Article
- Dynamic, differentiated clinical trajectories and prediction in clinical high risk for psychosis.Molecular psychiatry · 2026Article
- Analysis of EEG microstate transition patterns and multi-instance learning-based recognition model for depression.Medical & biological engineering & computing · 2026Article
- Different pattern: a new EEG-based method for mental performance detection.BMC medical informatics and decision making · 2026Article
- Microstate Dynamics of Focused Attention Meditation.Brain topography · 2026Article
- Disrupted brain network dynamics and cognitive dysfunction in drug-naive major depressive disorder: an EEG microstate study.European archives of psychiatry and clinical neuroscience · 2026Article
- [Microstate dynamics in motor imagery of stroke patients with transcranial alternating current stimulation modulation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Article
- State-Dependent CNN-GRU Reinforcement Framework for Robust EEG-Based Sleep Stage Classification.Biomimetics (Basel, Switzerland) · 2026Article
- Resting-state EEG microstate dynamics indicate altered brain network temporal organization in age-related hearing loss.Frontiers in aging neuroscience · 2026Article
- Tutorial on using EEG microstates to study moment-to-moment large-scale functional brain network dynamics in neurodevelopment.Frontiers in neuroscience · 2026Article
- The changes of EEG microstate maps in response to high-definition transcranial direct current stimulation.Cognitive, affective & behavioral neuroscience · 2025Article
- Exploring Informative Items for Bipolar Disorder Classification Using Machine Learning With Anger Coping Styles in Combination With the Mood Disorder Questionnaire and Bipolar Spectrum Diagnostic Scale.Psychiatry investigation · 2025Article
- Predicting Suicidal Ideation in Community-based Older Adults Using Self-report Questionnaires with Machine Learning.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025Article
- Association between EEG microstate and cognitive function in depressed patients with and without suicidal ideation.BMC psychiatry · 2025Observational
- EEG Microstates Signatures of rTMS Response Over the lDLPFC: A Band-Specific Analysis.Brain topography · 2025Article
- Pre-stimulus Microstates and Bodily Signals Independently Influence Perceptual Awareness at the Discrimination Threshold.Brain topography · 2025Article
- A Multimodal Neurophysiological Approach to Evaluate Educational Contents in Terms of Cognitive Processes and Engagement.Bioengineering (Basel, Switzerland) · 2025Article
- Gamma Transcranial Alternating Current Stimulation Enhances Working Memory Ability in Healthy People: An EEG Microstate Study.Brain sciences · 2025Article
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4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we hypothesized that task performance could be evaluated applying EEG microstate to mental arithmetic task. This pilot study also aimed at evaluating the efficacy of microstates as novel features to discriminate task performance. Thirty-six subjects were divided into good and poor performers, depending on how well they performed the task. Microstate features were derived from EEG recordings during resting and task states. In the good performers, there was a decrease in type C and an increase in type D features during the task compared to the resting state. Mean duration and occurrence decreased and increased, respectively. In the poor performers, occurrence of type D feature, mean duration and occurrence showed greater changes. We investigated whether microstate features were suitable for task performance classification and eleven features including four archetypes were selected by recursive feature elimination (RFE). The model that implemented them showed the highest classification performance for differentiating between groups. Our pilot findings showed that the highest mean Area Under Curve (AUC) was 0.831. This study is the first to apply EEG microstate features to specific cognitive tasks in healthy subjects, suggesting that EEG microstate features can reflect task achievement.
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