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Functional Inputs to the Subgenual Cingulate Cortex Distinguish Neurotypical Individuals with Severe and Mild Depressive Problems: Granger Causality and Clustering Analyses

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.06.25.661556Source: DataRank Database

Functional Inputs to the Subgenual Cingulate Cortex Distinguish Neurotypical Individuals with Severe and Mild Depressive Problems: Granger Causality and Clustering Analyses is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0.

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Enrichment:Funding (5 grants)OA: greenTopics (23)IDs (PubMed, OpenAlex)

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Authors (5)

Yu Chen ORCID,Shefali Chaudhary ORCID,Jaime S. Ide ORCID,Chiang‐Shan R. Li ORCID,Huey-Ting Li

Live enrichment

PubMed:40667126 OpenAlex:https://openalex.org/W4411730401

Grant: AG072893

Grant: DA051922

NIA NIH HHS

Grant: R01 AG072893

NIDA NIH HHS

Grant: R01 DA051922

NIMH NIH HHS

Grant: U54 MH091657

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2025/06/27/2025.06.25.661556.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2025.06.25.661556

repositoryhttps://doi.org/10.1101/2025.06.25.661556

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40667126

Fields of Study

Functional Brain Connectivity StudiesMental Health Research TopicsHeart Rate Variability and Autonomic Control

Keywords

Granger causalityNeurotypicalAnterior cingulate cortexCausality (physics)PsychologyMajor depressive disorderCluster analysisFunctional connectivityNeuroscienceClinical psychologyCognitionEconometricsArtificial intelligencePsychiatryComputer scienceEconomicsanxietydepressionmachine learningsubgenual cingulate