2023
Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease
O'Dell R, Higgins-Chen A, Gupta D, Chen M, Naganawa M, Toyonaga T, Lu Y, Ni G, Chupak A, Zhao W, Salardini E, Nabulsi N, Huang Y, Arnsten A, Carson R, van Dyck C, Mecca A. Principal component analysis of synaptic density measured with [11C]UCB-J PET in early Alzheimer’s disease. NeuroImage Clinical 2023, 39: 103457. PMID: 37422964, PMCID: PMC10338149, DOI: 10.1016/j.nicl.2023.103457.Peer-Reviewed Original ResearchMeSH KeywordsAlzheimer DiseaseAmyloidAmyloidogenic ProteinsBrainCognitive DysfunctionHumansPositron-Emission TomographyPrincipal Component AnalysisConceptsCognitive domainsCognitive performanceSubjects' scoresCortical regionsNeuropsychological batteryEarly Alzheimer's diseaseAD groupBilateral regionsNormal participantsNegative loadingsCognitive impairmentCN participantsAlzheimer's diseaseParticipantsStructural correlatesStrong contributionParticipant characteristicsScoresPositive loadingsData-driven approachTotal variancePrincipal component analysisSpecific spatial patterns
2005
Extraction of a plasma time-activity curve from dynamic brain PET images based on independent component analysis
Naganawa M, Kimura Y, Ishii K, Oda K, Ishiwata K, Matani A. Extraction of a plasma time-activity curve from dynamic brain PET images based on independent component analysis. IEEE Transactions On Biomedical Engineering 2005, 52: 201-210. PMID: 15709657, DOI: 10.1109/tbme.2004.840193.Peer-Reviewed Original ResearchConceptsBrain PET imagesIndependent component analysisVolume imagesDynamic PET imagesPET imagesDynamic positron emission tomography (PET) dataAppropriate preprocessingBlood volume imagesImagesComponent analysisObjective functionPositron emission tomography dataComputer simulationsBrain FDG-PET studiesTomography dataPlasma time-activity curvePreprocessingNew methodEmission tomography dataSerial arterial blood samplingModelInput functionExtraction