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A hierarchical random effects state-space model for modeling brain activities from electroencephalogram data

Biometrics(2024)10.1093/biomtc/ujae130Source: DataRank Database

A hierarchical random effects state-space model for modeling brain activities from electroencephalogram data is a research paper published in Biometrics (2024). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.00)OA: bronzeTopics (35)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

B. YANG ORCID,Ji Meng Loh,Qinxia Wang ORCID,Yuanjia Wang ORCID,Xingche Guo ORCID

Live enrichment

PubMed:39504537 PMC:PMC11540184 OpenAlex:https://openalex.org/W4404091258

National Institutes of Health

Grant: MH123487

National Institutes of Health

Grant: NS073671

National Institutes of Health

Grant: GM124104

NIMH NIH HHS

Grant: R01 MH123487

NIGMS NIH HHS

Grant: R01 GM124104

NINDS NIH HHS

Grant: R01 NS073671

FWCI

0.00

Citation Percentile

0.2%

bronzeLicense: https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

journalhttps://academic.oup.com/biometrics/article-pdf/80/4/ujae130/61199744/ujae130.pdf

publisherhttps://academic.oup.com/biometrics/article-pdf/80/4/ujae130/61199744/ujae130.pdf

journalhttps://doi.org/10.1093/biomtc/ujae130

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39504537

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11540184

Fields of Study

Functional Brain Connectivity StudiesEEG and Brain-Computer InterfacesNeural dynamics and brain function

MeSH Terms

Bayes TheoremBrainComputer SimulationDepressive Disorder, MajorMajor Depressive DisorderElectroencephalographyHumansModels, Statistical

Keywords

ElectroencephalographyIdentifiabilityComputer scienceBayesian inferenceBayesian probabilityRandom effects modelInferenceArtificial intelligenceBrain activity and meditationBayesian hierarchical modelingGibbs samplingState-space representationPattern recognition (psychology)Machine learningPsychologyNeuroscienceMedicineAlgorithmDepressionBiomarkersBrain ConnectivityBayesian Hierarchical ModelsResting-state EegLatent State-Space Model

Sustainable Development Goals

SDG 0: Good health and well-being