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Quantifying the Nonlinear Interaction in the Nervous System Based on Phase-Locked Amplitude Relationship

IEEE Transactions on Biomedical Engineering(2020)10.1109/tbme.2020.2967079Source: DataRank Database

Quantifying the Nonlinear Interaction in the Nervous System Based on Phase-Locked Amplitude Relationship is a research paper published in IEEE Transactions on Biomedical Engineering (2020). On theSindex it has a DataRank of 0. It has been cited 8 times.

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Open Access8 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (8 grants)OA: greenTopics (25)IDs (PubMed, PMC)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Jun Yao ORCID,Julius P. A. Dewald ORCID,F.C.T. van der Helm,Alfred C. Schouten ORCID,Yuan Yang ORCID

Live enrichment

PubMed:31976876 PMC:PMC7363527

Translational Sciences Institute

Grant: UL1TR001422

Translational Sciences Institute

Grant: NIH/NICHD 1R21HD099710

ERC

Grant: 291339

4D-EEG: A new tool to investigate the spatial and temporal activity patterns in the brain.

NICHD NIH HHS

Grant: R21 HD099710

National Institutes of Health

Grant: 5R21HD099710-02

Determination of the Recruitment of Indirect Motor Pathways in Chronic Hemiparetic Stroke

European Research Council

Dixon Translational Research Grants Initiative

Northwestern Medicine and Northwestern University Clinical

greenLicense: IEEE Copyright

repositoryhttp://resolver.tudelft.nl/uuid:de118076-3f38-4e40-a32a-03379aad26cc

publisherhttp://xplorestaging.ieee.org/ielx7/10/9171585/08961110.pdf?arnumber=8961110

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7363527

https://doi.org/10.1109/tbme.2020.2967079

https://repository.tudelft.nl/islandora/object/uuid%3Ade118076-3f38-4e40-a32a-03379aad26cc/datastream/OBJ/download

Fields of Study

0301 basic medicine03 medical and health sciences0302 clinical medicineComputer SimulationHumansNervous SystemNonlinear DynamicsProprioception

MeSH Terms

Nervous SystemHumansProprioceptionNonlinear DynamicsComputer Simulation

Keywords

Human Proprioceptive SystemFrequency Domain Analysis621ProprioceptionNervous Systemn/a OA procedureNonlinear SystemNonlinear DynamicsCross-frequency InteractionHumansComputer SimulationEEG

Sustainable Development Goals

SDG 3: 3. Good health