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Explicitly Nonlinear Dynamic Functional Network Connectivity In Resting-State fMRI Data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.22.497262Source: DataRank Database

Explicitly Nonlinear Dynamic Functional Network Connectivity In Resting-State fMRI Data is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 2 times.

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Enrichment:Funding (3 grants)OA: greenTopics (17)IDs (PubMed, OpenAlex)

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Authors (16)

Ayşenil Belger ORCID,Juan Bustillo ORCID,Ashkan Faghiri ORCID,James M. Ford ORCID,Armin Iraji ORCID

Live enrichment

PubMed:19767382 OpenAlex:https://openalex.org/W4283585250

National Institutes of Health

Grant: 1R01MH123610-01A1

Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivity

National Institutes of Health

Grant: 3R01MH118695-03S1

Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood d

National Institutes of Health

Grant: 3R01EB006841-10S1

Multivariate methods for identifying multitask/multimodal brain imaging biomarkers

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/06/26/2022.06.22.497262.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.06.22.497262

repositoryhttps://doi.org/10.1101/2022.06.22.497262

Fields of Study

Functional Brain Connectivity StudiesNeural dynamics and brain functionAdvanced Neuroimaging Techniques and Applications03 medical and health sciences0302 clinical medicine

Keywords

Nonlinear systemResting state fMRIDynamic functional connectivityComputer scienceLinear modelFunction (biology)Schizophrenia (object-oriented programming)Artificial intelligenceMachine learningPsychologyNeurosciencePhysics