2018
Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies
Fong AHC, Yoo K, Rosenberg MD, Zhang S, Li CR, Scheinost D, Constable RT, Chun MM. Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies. NeuroImage 2018, 188: 14-25. PMID: 30521950, PMCID: PMC6401236, DOI: 10.1016/j.neuroimage.2018.11.057.Peer-Reviewed Original ResearchConceptsAttention task performanceDynamic functional connectivityTask performanceIndividual differencesExecutive control brain networksFunctional connectivityFunctional brain scansAttention performanceTask conditionsAttention scoresBrain networksFMRI dataBrain regionsBetter attentionFC featuresFC matricesDFC matrixPearson's rAttentionIndividualsOne-subjectBrain scansConnectivityConnectomeCross-validation approach
2011
AUTOMATIC SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING
Cappabianco F, Ide J, Falcão A, Li C. AUTOMATIC SUBCORTICAL TISSUE SEGMENTATION OF MR IMAGES USING OPTIMUM-PATH FOREST CLUSTERING. 2011, 2653-2656. DOI: 10.1109/icip.2011.6116212.Peer-Reviewed Original ResearchOptimum-Path Forest ClusteringAutomatic MR image segmentationMR image segmentationLocal image propertiesSegmentation accuracyOptimum connectivityFeature spaceGlobal informationTissue segmentationImage propertiesMR imagesPopular techniqueProbabilistic atlasExtant methodsSegmentationImportant issueImagesProbability valuesWhite matter voxelsAlgorithmVoxelsClusteringNew methodAccuracyConnectivity