FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308274559> ?p ?o ?g. }

• W4308274559 abstract "Abstract Brain functional networks identified from resting fMRI data have the potential to reveal biomarkers for brain disorders, but studies of complex mental illnesses such as schizophrenia (SZ) often yield mixed results across replication studies. This is likely due in part to the complexity of the disorder, the short data acquisition time, and the limited ability of the approaches for brain imaging data mining. Therefore, the use of analytic approaches which can both capture individual variability while offering comparability across analyses is highly preferred. Fully blind data-driven approaches such as independent component analysis (ICA) are hard to compare across studies, and approaches that use fixed atlas-based regions can have limited sensitivity to individual sensitivity. By contrast, spatially constrained ICA (scICA) provides a hybrid, fully automated solution that can incorporate spatial network priors while also adapting to new subjects. However, scICA has thus far only been used with a single spatial scale. In this work, we present an approach using scICA to extract subject-specific intrinsic connectivity networks (ICNs) from fMRI data at multiple spatial scales (ICA model orders), which also enables us to study interactions across spatial scales. We evaluate this approach using a large N (N>1,600) study of schizophrenia divided into separate validation and replication sets. A multi-scale ICN template was estimated and labeled, then used as input into spatially constrained ICA which was computed on an individual subject level. We then performed a subsequent analysis of multiscale functional network connectivity (msFNC) to evaluate the patient data, including group differences and classification. Results showed highly consistent group differences in msFNC in regions including cerebellum, thalamus, and motor/auditory networks. Importantly, multiple msFNC pairs linking different spatial scales were implicated. We also used the msFNC features as input to a classification model in cross-validated hold-out data and also in an independent test data. Visualization of predictive features was performed by evaluating their feature weights. Finally, we evaluated the relationship of the identified patterns to positive symptoms and found consistent results across datasets. The results verified the robustness of our framework in evaluating brain functional connectivity of schizophrenia at multiple spatial scales, implicated consistent and replicable brain networks, and highlighted a promising approach for leveraging resting fMRI data for brain biomarker development." @default.
• W4308274559 created "2022-11-10" @default.
• W4308274559 creator A5001798382 @default.
• W4308274559 creator A5007448357 @default.
• W4308274559 creator A5011715160 @default.
• W4308274559 creator A5014926164 @default.
• W4308274559 creator A5018920191 @default.
• W4308274559 creator A5019983016 @default.
• W4308274559 creator A5022342401 @default.
• W4308274559 creator A5030225387 @default.
• W4308274559 creator A5032850756 @default.
• W4308274559 creator A5039232010 @default.
• W4308274559 creator A5050834331 @default.
• W4308274559 creator A5069686854 @default.
• W4308274559 creator A5073577615 @default.
• W4308274559 creator A5076662617 @default.
• W4308274559 creator A5081327890 @default.
• W4308274559 creator A5087017146 @default.
• W4308274559 date "2022-11-04" @default.
• W4308274559 modified "2023-10-16" @default.
• W4308274559 title "Multi-model order spatially constrained ICA reveals highly replicable group differences and consistent predictive results from fMRI data" @default.
• W4308274559 cites W1730693163 @default.
• W4308274559 cites W1978161337 @default.
• W4308274559 cites W1986589478 @default.
• W4308274559 cites W1998679999 @default.
• W4308274559 cites W2076805502 @default.
• W4308274559 cites W2091177453 @default.
• W4308274559 cites W2098787985 @default.
• W4308274559 cites W2115971978 @default.
• W4308274559 cites W2123499768 @default.
• W4308274559 cites W2123927491 @default.
• W4308274559 cites W2140606211 @default.
• W4308274559 cites W2148080251 @default.
• W4308274559 cites W2150009200 @default.
• W4308274559 cites W2158485497 @default.
• W4308274559 cites W2170252635 @default.
• W4308274559 cites W2171884247 @default.
• W4308274559 cites W2254005892 @default.
• W4308274559 cites W2735221233 @default.
• W4308274559 cites W2886208406 @default.
• W4308274559 cites W2913327628 @default.
• W4308274559 cites W2953079170 @default.
• W4308274559 cites W2967967941 @default.
• W4308274559 cites W2980408648 @default.
• W4308274559 cites W3048396787 @default.
• W4308274559 cites W3049723401 @default.
• W4308274559 cites W3111021680 @default.
• W4308274559 cites W3159911522 @default.
• W4308274559 cites W4200399801 @default.
• W4308274559 cites W4246157158 @default.
• W4308274559 cites W4247665917 @default.
• W4308274559 doi "https://doi.org/10.1101/2022.11.02.514809" @default.
• W4308274559 hasPublicationYear "2022" @default.
• W4308274559 type Work @default.
• W4308274559 citedByCount "1" @default.
• W4308274559 countsByYear W43082745592023 @default.
• W4308274559 crossrefType "posted-content" @default.
• W4308274559 hasAuthorship W4308274559A5001798382 @default.
• W4308274559 hasAuthorship W4308274559A5007448357 @default.
• W4308274559 hasAuthorship W4308274559A5011715160 @default.
• W4308274559 hasAuthorship W4308274559A5014926164 @default.
• W4308274559 hasAuthorship W4308274559A5018920191 @default.
• W4308274559 hasAuthorship W4308274559A5019983016 @default.
• W4308274559 hasAuthorship W4308274559A5022342401 @default.
• W4308274559 hasAuthorship W4308274559A5030225387 @default.
• W4308274559 hasAuthorship W4308274559A5032850756 @default.
• W4308274559 hasAuthorship W4308274559A5039232010 @default.
• W4308274559 hasAuthorship W4308274559A5050834331 @default.
• W4308274559 hasAuthorship W4308274559A5069686854 @default.
• W4308274559 hasAuthorship W4308274559A5073577615 @default.
• W4308274559 hasAuthorship W4308274559A5076662617 @default.
• W4308274559 hasAuthorship W4308274559A5081327890 @default.
• W4308274559 hasAuthorship W4308274559A5087017146 @default.
• W4308274559 hasBestOaLocation W43082745591 @default.
• W4308274559 hasConcept C105795698 @default.
• W4308274559 hasConcept C114614502 @default.
• W4308274559 hasConcept C119857082 @default.
• W4308274559 hasConcept C124101348 @default.
• W4308274559 hasConcept C12590798 @default.
• W4308274559 hasConcept C153180895 @default.
• W4308274559 hasConcept C154945302 @default.
• W4308274559 hasConcept C15744967 @default.
• W4308274559 hasConcept C169760540 @default.
• W4308274559 hasConcept C197947376 @default.
• W4308274559 hasConcept C199360897 @default.
• W4308274559 hasConcept C2776412080 @default.
• W4308274559 hasConcept C33923547 @default.
• W4308274559 hasConcept C41008148 @default.
• W4308274559 hasConcept C51432778 @default.
• W4308274559 hasConcept C58693492 @default.
• W4308274559 hasConceptScore W4308274559C105795698 @default.
• W4308274559 hasConceptScore W4308274559C114614502 @default.
• W4308274559 hasConceptScore W4308274559C119857082 @default.
• W4308274559 hasConceptScore W4308274559C124101348 @default.
• W4308274559 hasConceptScore W4308274559C12590798 @default.
• W4308274559 hasConceptScore W4308274559C153180895 @default.
• W4308274559 hasConceptScore W4308274559C154945302 @default.
• W4308274559 hasConceptScore W4308274559C15744967 @default.
• W4308274559 hasConceptScore W4308274559C169760540 @default.
• W4308274559 hasConceptScore W4308274559C197947376 @default.

• next