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Is Pearson’s correlation coefficient enough for functional connectivity in fMRI?

Imaging Neuroscience(2025)10.1162/imag.a.1052Source: DataRank Database

Is Pearson’s correlation coefficient enough for functional connectivity in fMRI? is a research paper published in Imaging Neuroscience (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (9 grants)Impact (FWCI 1.52)OA: goldTopics (17)IDs (PubMed, PMC, OpenAlex)

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 (11)

Julian S.B. Ramirez ORCID,Kyoungseob Byeon,Brian E. Russ ORCID,Arnaud Falchier ORCID,Gary Linn ORCID

Live enrichment

PubMed:41377637 PMC:PMC12687289 OpenAlex:https://openalex.org/W4417274780

NIH

Grant: R01MH139349

NIH

Grant: RF1MH128696

NIH

Grant: P50MH109429

NIH

Grant: R01MH124045

NIH

Grant: R01MH130901

NIMH

Grant: R01MH111439

NIMH

Grant: RF1MH117040

WU-Minn Consortium

Grant: 1U54MH091657

NIDA NIH HHS

Grant: T32 DA007234

FWCI

1.52

Citation Percentile

0.8%

Citation Trend

2026

goldLicense: cc-by

journalhttps://direct.mit.edu/imag/article-pdf/doi/10.1162/IMAG.a.1052/2566581/imag.a.1052.pdf

publisherhttps://direct.mit.edu/imag/article-pdf/doi/10.1162/IMAG.a.1052/2566581/imag.a.1052.pdf

journalhttps://doi.org/10.1162/imag.a.1052

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41377637

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12687289/

Fields of Study

Functional Brain Connectivity StudiesNeural dynamics and brain functionMental Health Research Topics

Keywords

Nonlinear systemMeasure (data warehouse)CorrelationReliability (semiconductor)Functional dependencyCorrelation coefficientDistance correlationScale (ratio)Functional connectivityDependency (UML)fMRIPearson’s Correlation CoefficientNonlinear DependenciesMultiscale Graph Correlation