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Dissecting Symptom-linked Dimensions of Resting-State Electroencephalographic Functional Connectivity in Autism with Contrastive Learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.22.541841Source: DataRank Database

Dissecting Symptom-linked Dimensions of Resting-State Electroencephalographic Functional Connectivity in Autism with Contrastive Learning is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Symptom dimensions of resting-state electroencephalographic functional connectivity in autism · NIMH Data Repositories

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (17 grants)OA: greenTopics (14)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (7)

Hua Xie ORCID,Gregory A. Fonzo ORCID,Kanhao Zhao ORCID,Theodore D. Satterthwaite ORCID,Nancy B. Carlisle ORCID

Live enrichment

PubMed:37292736 OpenAlex:https://openalex.org/W4377965993

National Institutes of Health

Grant: 5R01MH112847-07

Inter-modal Coupling Image Analytics

National Institutes of Health

Grant: 7K23MH114023-02

Computational neuroimaging of reward in post-trauma psychopathology

National Institutes of Health

Grant: 5R37MH125829-05

Precision mapping of individualized executive networks in youth

National Institutes of Health

Grant: 1R21MH130956-01A1

Identifying Transdiagnostic Functional Connectivity Biomarkers for Cognitive Health and Psychopathology

National Institutes of Health

Grant: 5R01MH120482-05

Reproducible imaging-based brain growth charts for psychiatry

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: 5R01EB022573-03

Pattern Analysis of fMRI via machine learning/sparse models: application to brain development

National Institutes of Health

Grant: 1R01MH129694-01A1

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

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: R37 MH125829

NIMH NIH HHS

Grant: R01 MH120482

NIMH NIH HHS

Grant: R01 MH125886

NIMH NIH HHS

Grant: K23 MH114023

NIBIB NIH HHS

Grant: R01 EB022573

NIMH NIH HHS

Grant: R01 MH112847

NIMH NIH HHS

Grant: R21 MH130956

NIMH NIH HHS

Grant: R01 MH129694

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/05/24/2023.05.22.541841.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.05.22.541841

repositoryhttp://dx.doi.org/10.1101/2023.05.22.541841

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37292736

Fields of Study

Autism Spectrum Disorder ResearchAttention Deficit Hyperactivity DisorderFunctional Brain Connectivity Studies05 social sciences0501 psychology and cognitive sciences

Keywords

Resting state fMRIFunctional connectivityAutismPsychologyNeuroscienceAutism spectrum disorderCognitive psychologyDevelopmental psychologyArticle

Sustainable Development Goals

SDG 0: Reduced inequalities

Symptom dimensions of resting-state electroencephalographic functional connectivity in autism

10.15154/qp5k-v842NIMH Data Repositories