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Individual deviations from normative electroencephalographic connectivity predict antidepressant response

Journal of Affective Disorders(2024)10.1016/j.jad.2024.01.177Source: DataRank Database

Individual deviations from normative electroencephalographic connectivity predict antidepressant response is a research paper published in Journal of Affective Disorders (2024). On theSindex it has a DataRank of 0.659. It has been cited 18 times, with 12 citing works in its 1-hop citation network.

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0.659DataRank · unranked

Scored on demand from live citation data

Deposits data Open Access18 citations · 12 citing works in its network

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Individual deviations from normative electroencephalographic connectivity predict antidepressant response. · NIMH Data Repositories

Data availability

Repositories this paper deposited data in (declared in PubMed).

ClinicalTrials.govNCT#01407094

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (15 grants)OA: greenTopics (25)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 67%Citation Network 33%

Base Score Contribution

0.442

From this paper's citation signal

Citation Network Contribution

0.217

From 8 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 12 citers.

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EBioMedicine20259 citations71 referencesContributes 0.032
Neurophysiological mechanisms and predictive modeling of SSRI treatment response in depression disorder based on multidimensional EEG features
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Authors (9)

Hua Xie ORCID,Wei Wu ORCID,Corey J. Keller ORCID,Gregory A. Fonzo ORCID,Matthieu Chidharom ORCID

Live enrichment

PubMed:38281595

National Institutes of Health

Grant: 5DP1MH116506-02

A “Circuits-First” Platform for Personalized Neurostimulation Treatment

National Institutes of Health

Grant: 7K23MH114023-02

Computational neuroimaging of reward in post-trauma psychopathology

National Institutes of Health

Grant: 5R44MH123373-03

Validating of Machine Learning-Based EEG Treatment Biomarkers in Depression

National Institutes of Health

Grant: 1R21MH130956-01A1

Identifying Transdiagnostic Functional Connectivity Biomarkers for Cognitive Health and Psychopathology

National Institutes of Health

Grant: 1R01MH129694-01A1

Establishing Multimodal Brain Biomarkers Using Data-driven Analyticsfor Treatment Selection in Depression

National Science Foundation

Grant: 2019035

CC* Compute: Acquisition of a Lehigh University HPC cluster to enhance collaboration, research productivity and educational impact

National Institutes of Health

Grant: 5R01MH125886-02

1/2 Neurodevelopmental and clinical trajectories of youth at risk for bipolar I disorder

NIMH NIH HHS

Grant: R01 MH132784

NIMH NIH HHS

Grant: K23 MH114023

NIMH NIH HHS

Grant: R01 MH125886

NIA NIH HHS

Grant: R21 AG080425

NIMH NIH HHS

Grant: R44 MH123373

NIMH NIH HHS

Grant: DP1 MH116506

NIMH NIH HHS

Grant: R21 MH130956

NIMH NIH HHS

Grant: R01 MH129694

greenLicense: CC BY NC ND

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC10923099/pdf/nihms-1963704.pdf

publisherhttps://api.elsevier.com/content/article/PII:S0165032724001952?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0165032724001952?httpAccept=text/plain

https://doi.org/10.1101/2023.05.24.23290434

https://doi.org/10.1016/j.jad.2024.01.177

Fields of Study

03 medical and health sciences0302 clinical medicineHumansSertralineMajor Depressive DisorderAntidepressive AgentsElectroencephalographyTreatment Outcome

MeSH Terms

HumansSertralineMajor Depressive DisorderAntidepressive AgentsElectroencephalographyTreatment Outcome

Keywords

Treatment OutcomeMajor Depressive DisorderSertralineHumansElectroencephalographyArticleAntidepressive AgentsAntidepressantEEGFunctional connectivityIndividual deviation

Individual deviations from normative electroencephalographic connectivity predict antidepressant response.

10.15154/ba67-cd20NIMH Data Repositories