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A Large-Scale ENIGMA Multisite Replication Study of Brain Age in Depression

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.29.505635Source: DataRank Database

A Large-Scale ENIGMA Multisite Replication Study of Brain Age in Depression is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0.332. It has been cited 6 times, with 3 citing works in its 1-hop citation network.

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0.332DataRank · unranked

Scored on demand from live citation data

Open Access6 citations · 3 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (36)IDs (PubMed)

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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DataRank Breakdown

Base Score 88%Citation Network 12%

Base Score Contribution

0.292

From this paper's citation signal

Citation Network Contribution

0.0403

From 1 citing papers with measurable signal

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Top 3 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 3 citers.

A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
Patterns202367 citations89 referencesContributes 0.047
Establishing the Clinical Potential of Brain Aging in Depression: Implications for Suicidality and Antidepressant Response
Biological Psychiatry Cognitive Neuroscience and Neuroimaging20230 citations12 referencesContributes 0.000
Linking menopause-related factors, depression, APOE ε4, and proxies of biological aging in the UK Biobank cohort
20240 citations79 referencesContributes 0.000

Authors (37)

Richard Dinga,Ramona Leenings ORCID,Tim Hahn ORCID,James H. Cole ORCID,Lyubomir I. Aftanas ORCID

Live enrichment

PubMed:21097893

National Institutes of Health

Grant: 5R01MH117601-04

A global alliance to unlock brain mechanisms influencing suicidal behaviors through the ENIGMA Consortium

National Institutes of Health

Grant: 3R01MH129832-03S1

Neurobiologically-Based Subtyping of Multi-Cohort Samples with MDD and PTSD Symptoms

National Institutes of Health

Grant: 5R01MH125850-03

Individualized brain systems and depression

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/08/29/2022.08.29.505635.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.08.29.505635

https://doi.org/10.1016/j.ynirp.2022.100149

https://doi.org/10.1101/2022.08.29.505635

https://pubmed.ncbi.nlm.nih.gov/40567563

Fields of Study

0301 basic medicine03 medical and health sciences0302 clinical medicine

Keywords

Beck Depression Inventorybraineffect sizeArticle(s) from the Special Issue on Replication findings in neuroimaging studies; Edited by Chao-Gan Yan15061032 Biomedical and Clinical SciencesNeurosciences. Biological psychiatry. NeuropsychiatryArticleHamilton Depression Rating ScaleBiological agingmalecontrolled studyhumannuclear magnetic resonance imagingreplication studybrain ageneuroimagingENIGMA consortiumDepressionadult[SCCO.NEUR] Cognitive science/Neuroscience3202 Clinical sciencespredictionGeneral Medicinecase control studycohort analysismajor clinical studyagedfemaleagedisease severityRC321-571