2024
Targeted metabolomics-based understanding of the sleep disturbances in drug-naïve patients with schizophrenia
Yan H, Li G, Zhang X, Zhang C, Li M, Qiu Y, Sun W, Dong Y, Li S, Li J. Targeted metabolomics-based understanding of the sleep disturbances in drug-naïve patients with schizophrenia. BMC Psychiatry 2024, 24: 355. PMID: 38741058, PMCID: PMC11089724, DOI: 10.1186/s12888-024-05805-0.Peer-Reviewed Original ResearchConceptsPositive and Negative Symptom ScaleDrug-naive patientsLiquid chromatography-mass spectrometryDrug-naive schizophreniaAssociated with sleep disturbancesOrthogonal partial least squares discriminant analysisSleep disturbancePittsburgh Sleep Quality IndexPartial least-squares discriminant analysisMetabolomics-based approachNegative Symptom ScaleChromatography-mass spectrometryCharacteristic metabolitesSchizophreniaSymptom ScaleMethodsPlasma samplesPotential biological mechanismsSleep Quality IndexClinical symptomsGlycerophospholipid metabolismPartial correlation analysisHealthy controlsMetabolomic analysisPatientsBackgroundSleep disturbance
2022
Abnormal dynamic functional network connectivity in first-episode, drug-naïve patients with major depressive disorder
Yang W, Wang Y, Qin W, Li M, Mao H, Zhou C, Liu X, Li J. Abnormal dynamic functional network connectivity in first-episode, drug-naïve patients with major depressive disorder. Journal Of Affective Disorders 2022, 319: 336-343. PMID: 36084757, DOI: 10.1016/j.jad.2022.08.072.Peer-Reviewed Original ResearchConceptsHamilton Depression Rating ScaleFirst-episodeDrug-naive patientsFunctional network connectivityDynamic functional network connectivityFeatures of spontaneous brain activityDepression Rating ScaleFunctional brain networksSpontaneous brain activityGender-matched healthy controlsMDD patientsDepressive disorderReceiver operating characteristicDepressive symptomsMDDBrain networksBrain activityConnectivity statesRating ScaleReceiver operating characteristic curve analysisHealthy controlsNetwork connectivityMRI scansDiagnostic performanceCurve analysis