FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2902918753> ?p ?o ?g. }

• W2902918753 endingPage "e0208068" @default.
• W2902918753 startingPage "e0208068" @default.
• W2902918753 abstract "Analysis of functional magnetic resonance imaging (fMRI) data has revealed that brain regions can be grouped into functional brain networks (fBNs) or communities. A community in fMRI analysis signifies a group of brain regions coupled functionally with one another. In neuroimaging, functional connectivity (FC) measure can be utilized to quantify such functionally connected regions for disease diagnosis and hence, signifies the need of devising novel FC estimation methods. In this paper, we propose a novel method of learning FC by constraining its rank and the sum of non-zero coefficients. The underlying idea is that fBNs are sparse and can be embedded in a relatively lower dimension space. In addition, we propose to extract overlapping networks. In many instances, communities are characterized as combinations of disjoint brain regions, although recent studies indicate that brain regions may participate in more than one community. In this paper, large-scale overlapping fBNs are identified on resting state fMRI data by employing non-negative matrix factorization. Our findings support the existence of overlapping brain networks." @default.
• W2902918753 created "2018-12-11" @default.
• W2902918753 creator A5050329939 @default.
• W2902918753 creator A5057412604 @default.
• W2902918753 date "2018-11-28" @default.
• W2902918753 modified "2023-10-17" @default.
• W2902918753 title "Low rank and sparsity constrained method for identifying overlapping functional brain networks" @default.
• W2902918753 cites W1879084407 @default.
• W2902918753 cites W1902027874 @default.
• W2902918753 cites W1963858079 @default.
• W2902918753 cites W1985327120 @default.
• W2902918753 cites W2005476331 @default.
• W2902918753 cites W2009494091 @default.
• W2902918753 cites W2009784799 @default.
• W2902918753 cites W2011282508 @default.
• W2902918753 cites W2026336376 @default.
• W2902918753 cites W2050601254 @default.
• W2902918753 cites W2058046532 @default.
• W2902918753 cites W2059564226 @default.
• W2902918753 cites W2061564920 @default.
• W2902918753 cites W2061908126 @default.
• W2902918753 cites W2063243332 @default.
• W2902918753 cites W2066653668 @default.
• W2902918753 cites W2068252829 @default.
• W2902918753 cites W2079450984 @default.
• W2902918753 cites W2089572795 @default.
• W2902918753 cites W2095293504 @default.
• W2902918753 cites W2095491050 @default.
• W2902918753 cites W2103972604 @default.
• W2902918753 cites W2107360535 @default.
• W2902918753 cites W2110620844 @default.
• W2902918753 cites W2123743432 @default.
• W2902918753 cites W2129109788 @default.
• W2902918753 cites W2136468592 @default.
• W2902918753 cites W2138905229 @default.
• W2902918753 cites W2139694940 @default.
• W2902918753 cites W2141224535 @default.
• W2902918753 cites W2141677521 @default.
• W2902918753 cites W2143502460 @default.
• W2902918753 cites W2143909130 @default.
• W2902918753 cites W2155830939 @default.
• W2902918753 cites W2156270499 @default.
• W2902918753 cites W2160350564 @default.
• W2902918753 cites W2167822639 @default.
• W2902918753 cites W2343864649 @default.
• W2902918753 cites W2404400936 @default.
• W2902918753 cites W2465084082 @default.
• W2902918753 cites W2502203196 @default.
• W2902918753 cites W2511326220 @default.
• W2902918753 cites W2519496013 @default.
• W2902918753 cites W2583114732 @default.
• W2902918753 cites W2600847126 @default.
• W2902918753 cites W2753719175 @default.
• W2902918753 cites W2765887715 @default.
• W2902918753 cites W3098224608 @default.
• W2902918753 cites W3104338055 @default.
• W2902918753 doi "https://doi.org/10.1371/journal.pone.0208068" @default.
• W2902918753 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6261626" @default.
• W2902918753 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30485369" @default.
• W2902918753 hasPublicationYear "2018" @default.
• W2902918753 type Work @default.
• W2902918753 sameAs 2902918753 @default.
• W2902918753 citedByCount "8" @default.
• W2902918753 countsByYear W29029187532019 @default.
• W2902918753 countsByYear W29029187532020 @default.
• W2902918753 countsByYear W29029187532021 @default.
• W2902918753 countsByYear W29029187532022 @default.
• W2902918753 countsByYear W29029187532023 @default.
• W2902918753 crossrefType "journal-article" @default.
• W2902918753 hasAuthorship W2902918753A5050329939 @default.
• W2902918753 hasAuthorship W2902918753A5057412604 @default.
• W2902918753 hasBestOaLocation W29029187531 @default.
• W2902918753 hasConcept C114614502 @default.
• W2902918753 hasConcept C119857082 @default.
• W2902918753 hasConcept C121332964 @default.
• W2902918753 hasConcept C152671427 @default.
• W2902918753 hasConcept C153180895 @default.
• W2902918753 hasConcept C154945302 @default.
• W2902918753 hasConcept C158693339 @default.
• W2902918753 hasConcept C164226766 @default.
• W2902918753 hasConcept C169760540 @default.
• W2902918753 hasConcept C2779226451 @default.
• W2902918753 hasConcept C33923547 @default.
• W2902918753 hasConcept C41008148 @default.
• W2902918753 hasConcept C42355184 @default.
• W2902918753 hasConcept C45340560 @default.
• W2902918753 hasConcept C58693492 @default.
• W2902918753 hasConcept C62520636 @default.
• W2902918753 hasConcept C66324658 @default.
• W2902918753 hasConcept C86803240 @default.
• W2902918753 hasConceptScore W2902918753C114614502 @default.
• W2902918753 hasConceptScore W2902918753C119857082 @default.
• W2902918753 hasConceptScore W2902918753C121332964 @default.
• W2902918753 hasConceptScore W2902918753C152671427 @default.
• W2902918753 hasConceptScore W2902918753C153180895 @default.
• W2902918753 hasConceptScore W2902918753C154945302 @default.
• W2902918753 hasConceptScore W2902918753C158693339 @default.
• W2902918753 hasConceptScore W2902918753C164226766 @default.

• next