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Diffusion-Informed Spatial Smoothing of fMRI Data in White Matter Using Spectral Graph Filters

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.25.353920Source: DataRank Database

Diffusion-Informed Spatial Smoothing of fMRI Data in White Matter Using Spectral Graph Filters is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Open Access7 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: greenTopics (24)IDs (PubMed)

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Open Access

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Authors (6)

Martin Larsson ORCID,Anders Eklund ORCID,Iman Aganj ORCID,Carl‐Fredrik Westin ORCID,Hamid Behjat ORCID

Live enrichment

PubMed:34000402

Swedish Governmental Agency for Innovation Systems

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1R56AG068261-01

Connectomic Biomarkers of Preclinical Alzheimer's Disease within Multi-Synaptic Pathways

National Institutes of Health

Grant: 3U54MH091657-03S1

Mapping the Human Connectome: Structure, Function, and Heritability

National Institutes of Health

Grant: 5K01DK101631-02

Computational Tools for the Analysis of MRI Images in Type-1 Diabetes

greenLicense: cc-by-nc

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/04/03/2020.10.25.353920.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.10.25.353920

https://doi.org/10.1101/2020.10.25.353920

http://liu.diva-portal.org/smash/get/diva2:1555680/FULLTEXT01

https://doi.org/10.1016/j.neuroimage.2021.118095

Fields of Study

03 medical and health sciences0302 clinical medicine

Keywords

AdultCognitive NeuroscienceGraph signal processingNeurosciences. Biological psychiatry. NeuropsychiatryanisotropyArticleDiffusion MRIMedical ImagingMedicinsk bildvetenskap616ConnectomeImage Processing, Computer-AssistedHumansFunctional MRIWhite matterModels, TheoreticalMagnetic Resonance ImagingDiffusion Tensor ImagingNeurologyRadiologi och bildbehandlingRadiology, Nuclear Medicine and Medical ImagingRC321-571