2024
Exploring the relationship between response time sequence in scale answering process and severity of insomnia: A machine learning approach
Su Z, Liu R, Zhou K, Wei X, Wang N, Lin Z, Xie Y, Wang J, Wang F, Zhang S, Zhang X. Exploring the relationship between response time sequence in scale answering process and severity of insomnia: A machine learning approach. Heliyon 2024, 10: e33485. PMID: 39040408, PMCID: PMC11261114, DOI: 10.1016/j.heliyon.2024.e33485.Peer-Reviewed Original ResearchResponse time dataInsomnia Severity IndexInsomnia symptomsPsychological measuresPresence of insomnia symptomsIndividual question levelSeverity of insomniaSymptom severityPsychological evaluationResponse timeInsomniaSleep qualityMachine learning modelsSeverity IndexSymptomsQuestion levelTotal response timeParticipantsLearning modelsTime dataPotential utilityEvaluate sleep qualitySeverityMachine learning approachMobile applications
2008
Abnormal anterior cingulum integrity in bipolar disorder determined through diffusion tensor imaging
Wang F, Jackowski M, Kalmar JH, Chepenik LG, Tie K, Qiu M, Gong G, Pittman BP, Jones MM, Shah MP, Spencer L, Papademetris X, Constable RT, Blumberg HP. Abnormal anterior cingulum integrity in bipolar disorder determined through diffusion tensor imaging. The British Journal Of Psychiatry 2008, 193: 126-129. PMID: 18669996, PMCID: PMC2732002, DOI: 10.1192/bjp.bp.107.048793.Peer-Reviewed Original ResearchConceptsBipolar disorderWhite matter connectionsFractional anisotropyAnterior cingulumPosterior cingulumAbnormal white matter integrityWhite matter abnormalitiesBipolar disorder groupAnterior cingulate cortexDiffusion tensorWhite matter integrityHealthy groupCingulate cortexNeural systemsHealthy participantsDisorder groupDisordersAbnormalitiesCingulumConvergent evidenceGroupParticipantsEmotional regulation