دورية أكاديمية
أعرض في EDS

Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability.

التفاصيل البيبلوغرافية
العنوان: Microstate Analysis of Continuous Infant EEG: Tutorial and Reliability.
المؤلفون: Bagdasarov A; Department of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA. armen.bagdasarov@duke.edu., Brunet D; Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland.; Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, Lausanne, 1015, Switzerland., Michel CM; Department of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, Geneva, 1202, Switzerland.; Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, Lausanne, 1015, Switzerland., Gaffrey MS; Department of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC, 27708, USA.; Children's Wisconsin, 9000 W. Wisconsin Avenue, Milwaukee, WI, 53226, USA.; Medical College of Wisconsin, Division of Pediatric Psychology and Developmental Medicine, Department of Pediatrics, 8701 Watertown Plank Road, Milwaukee, WI, 53226, USA.
المصدر: Brain topography [Brain Topogr] 2024 Jul; Vol. 37 (4), pp. 496-513. Date of Electronic Publication: 2024 Mar 02.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 8903034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-6792 (Electronic) Linking ISSN: 08960267 NLM ISO Abbreviation: Brain Topogr Subsets: MEDLINE
أسماء مطبوعة: Publication: 1999- : New York : Kluwer Academic/Plenum Publishers
Original Publication: [New York, NY : Human Sciences Press, c1988-
مواضيع طبية MeSH: Electroencephalography*/methods , Brain*/physiology , Brain*/growth & development, Humans ; Infant ; Reproducibility of Results ; Female ; Male ; Brain Mapping/methods
مستخلص: Microstate analysis of resting-state EEG is a unique data-driven method for identifying patterns of scalp potential topographies, or microstates, that reflect stable but transient periods of synchronized neural activity evolving dynamically over time. During infancy - a critical period of rapid brain development and plasticity - microstate analysis offers a unique opportunity for characterizing the spatial and temporal dynamics of brain activity. However, whether measurements derived from this approach (e.g., temporal properties, transition probabilities, neural sources) show strong psychometric properties (i.e., reliability) during infancy is unknown and key information for advancing our understanding of how microstates are shaped by early life experiences and whether they relate to individual differences in infant abilities. A lack of methodological resources for performing microstate analysis of infant EEG has further hindered adoption of this cutting-edge approach by infant researchers. As a result, in the current study, we systematically addressed these knowledge gaps and report that most microstate-based measurements of brain organization and functioning except for transition probabilities were stable with four minutes of video-watching resting-state data and highly internally consistent with just one minute. In addition to these results, we provide a step-by-step tutorial, accompanying website, and open-access data for performing microstate analysis using a free, user-friendly software called Cartool. Taken together, the current study supports the reliability and feasibility of using EEG microstate analysis to study infant brain development and increases the accessibility of this approach for the field of developmental neuroscience.
(© 2024. The Author(s).)
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فهرسة مساهمة: Keywords: Infants; Microstates; Reliability; Resting-state; Source localization; Tutorial
تواريخ الأحداث: Date Created: 20240302 Date Completed: 20240625 Latest Revision: 20240628
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC11199263
DOI: 10.1007/s10548-024-01043-5
PMID: 38430283
قاعدة البيانات: MEDLINE
الوصف
تدمد:1573-6792
DOI:10.1007/s10548-024-01043-5