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Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data

Human Brain Mapping(2021)10.1002/hbm.25720Source: DataRank Database

Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data is a research paper published in Human Brain Mapping (2021). On theSindex it has a DataRank of 0. It has been cited 26 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access26 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 2.03)OA: goldTopics (50)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 (10)

Rogers F. Silva ORCID,Daoqiang Zhang ORCID,Sergey Plis ORCID,Robyn L. Miller ORCID,Victor M. Vergara ORCID

Live enrichment

PubMed:34811846 PMC:PMC8837596 OpenAlex:https://openalex.org/W3216668651

National Natural Science Foundation of China

Grant: 62136004

National Natural Science Foundation of China

Grant: 61773380

National Natural Science Foundation of China

Grant: 82022035

National Natural Science Foundation of China

Grant: 61732006

National Natural Science Foundation of China

Grant: 61876082

Beijing Municipal Science and Technology Commission

Grant: Z181100001518005

National Key Research and Development Program of China

Grant: 2018YFC2001600

National Key Research and Development Program of China

Grant: 2018YFC2001602

National Science Foundation of Sri Lanka

Grant: 2112455

National Institutes of Health

Grant: R01EB005846

National Institutes of Health

Grant: R01MH117107

National Institutes of Health

Grant: R01MH118695

National Institutes of Health

Grant: R01MH094524

NIGMS NIH HHS

Grant: P20 GM103472

National Institutes of Health

Grant: 1R01MH117107-01A1

Data-driven approaches to identify biomarkers from multimodal imaging big data

National Institutes of Health

Grant: 2R01EB005846-05A1

Informed Data-Driven Fusion of Behavior, Brain Function, and Genes

National Institutes of Health

Grant: 5R01MH094524-11

Mining the Genomewide Scan: Genetic Profiles of Structural Loss in Schizophrenia

National Institutes of Health

Grant: 3R01MH118695-03S1

Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood d

FWCI

2.03

Citation Percentile

0.9%

Citation Trend

2021

2022

2023

2024

2025

2026

goldLicense: CC BY NC ND

journalhttps://doi.org/10.1002/hbm.25720

publisherhttps://doi.org/10.1002/hbm.25720

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.25720

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/hbm.25720

repositoryhttps://pubmed.ncbi.nlm.nih.gov/34811846

Fields of Study

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesBlind Source Separation Techniques03 medical and health sciences0302 clinical medicine

MeSH Terms

AdultBrainFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNerve NetSchizophreniaFunctional NeuroimagingSpatial AnalysisSpatio-Temporal Analysis

Keywords

Independent component analysisFunctional magnetic resonance imagingComputer scienceArtificial intelligencePattern recognition (psychology)Default mode networkModality (human–computer interaction)Sensor fusionFeature (linguistics)ModalitiesNeurosciencePsychologyIndependent component analysis (ICA)Group IcaParallel IcaUnify4D FmriThree-way Multimodal FusionAdultMaleSpatial AnalysisFunctional NeuroimagingBrainMiddle AgedMagnetic Resonance ImagingSpatio-Temporal AnalysisImage Processing, Computer-AssistedSchizophreniaHumansFemaleNerve NetResearch Articles

Sustainable Development Goals

SDG 0: Reduced inequalities