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Topological learning for brain networks

The Annals of Applied Statistics(2023)10.1214/22-aoas1633Source: DataRank Database

Topological learning for brain networks is a research paper published in The Annals of Applied Statistics (2023). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 0.00)OA: greenTopics (38)IDs (PubMed, PMC, OpenAlex)SDGs (1)

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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Authors (2)

Moo K. Chung ORCID,Tananun Songdechakraiwut

Live enrichment

PubMed:36911168 PMC:PMC9997114 OpenAlex:https://openalex.org/W3110294488

NIMH NIH HHS

Grant: R01 MH133614

NIBIB NIH HHS

Grant: R01 EB022856

NIBIB NIH HHS

Grant: R01 EB028753

National Science Foundation

Grant: 2010778

Novel Continuous Structural and Functional Networks and Prediction of Individual Cognition

National Institutes of Health

Grant: 5R01EB022856-02

BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain

FWCI

0.00

Citation Percentile

0.0%

greenLicense: arXiv Non-Exclusive Distribution

repositoryhttps://arxiv.org/pdf/2012.00675

repositoryhttp://arxiv.org/abs/2012.00675

journalhttps://doi.org/10.1214/22-aoas1633

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36911168

Fields of Study

Topological and Geometric Data AnalysisAdvanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies03 medical and health sciences0302 clinical medicine

Keywords

BottleneckTopology (electrical circuits)Computer sciencePersistent homologyDiffusion MRIComputational topologyResting state fMRIArtificial intelligenceMatching (statistics)Network topologyBrain functionTask (project management)Network motifComplex networkNeuroscienceAlgorithmMathematicsBiologyComputer networkMagnetic resonance imagingEngineeringTopological Data AnalysisWasserstein DistanceTopological LearningTwin Brain Imaging StudyBirth-Death DecompositionComputational Geometry (cs.CG)FOS: Computer and information sciencesApplications of statisticsQuantitative Biology - Neurons and CognitionFOS: Biological sciencesComputer Science - Computational GeometryNeurons and Cognition (q-bio.NC)

Sustainable Development Goals

SDG 0: Reduced inequalities