2022
The association between cannabis use and facial emotion recognition in schizophrenia, siblings, and healthy controls: Results from the EUGEI study
Fusar-Poli L, Pries LK, van Os J, Radhakrishnan R, Pençe AY, Erzin G, Delespaul P, Kenis G, Luykx JJ, Lin BD, Akdede B, Binbay T, Altınyazar V, Yalınçetin B, Gümüş-Akay G, Cihan B, Soygür H, Ulaş H, Cankurtaran EŞ, Kaymak SU, Mihaljevic MM, Andric-Petrovic S, Mirjanic T, Bernardo M, Mezquida G, Amoretti S, Bobes J, Saiz PA, García-Portilla MP, Sanjuan J, Aguilar EJ, Santos JL, Jiménez-López E, Arrojo M, Carracedo A, López G, González-Peñas J, Parellada M, Maric NP, Atbaşoğlu C, Üçok A, Alptekin K, Saka MC, investigators G, Aguglia E, Arango C, Rutten BP, Guloksuz S. The association between cannabis use and facial emotion recognition in schizophrenia, siblings, and healthy controls: Results from the EUGEI study. European Neuropsychopharmacology 2022, 63: 47-59. PMID: 36055075, DOI: 10.1016/j.euroneuro.2022.08.003.Peer-Reviewed Original ResearchConceptsHealthy controlsCannabis useDegraded Facial Affect Recognition TaskPresent cross-sectional studyCross-sectional studyHigh genetic riskProgression of schizophreniaRegular cannabis useCognitive disturbancesRegular cannabisPsychosis riskPatientsSchizophreniaFacial emotion recognition performanceGenetic riskCannabisCurrent cannabisEUGEI studyLongitudinal studyAgeSiblingsAssociationRiskOnsetEffect relationshipSchizophrenia as a symptom of psychiatry’s reluctance to enter the moral era of medicine
van Os J, Guloksuz S. Schizophrenia as a symptom of psychiatry’s reluctance to enter the moral era of medicine. Schizophrenia Research 2022, 242: 138-140. PMID: 34991949, DOI: 10.1016/j.schres.2021.12.017.Peer-Reviewed Original Research
2021
Emotion regulation in response to daily negative and positive events in youth: The role of event intensity and psychopathology
Hiekkaranta A, Kirtley O, Lafit G, Decoster J, Derom C, de Hert M, Gülöksüz S, Jacobs N, Menne-Lothmann C, Rutten B, Thiery E, van Os J, van Winkel R, Wichers M, Myin-Germeys I. Emotion regulation in response to daily negative and positive events in youth: The role of event intensity and psychopathology. Behaviour Research And Therapy 2021, 144: 103916. PMID: 34224990, DOI: 10.1016/j.brat.2021.103916.Peer-Reviewed Original ResearchConceptsEmotion regulationNegative eventsEmotion expressionPositive eventsEmotion regulation effortsSubsequent emotion regulationRole of contextIndividual contextual factorsSituation modificationDegree of effortPsychopathology symptomsYouth sampleRegulation effortsStrategy diversityContextual factorsPsychopathologyCurrent articleYoung peopleEvent intensitySavoringEmotionsRuminationPeopleReappraisalYouth
2019
Evidence for interaction between genetic liability and childhood trauma in the development of psychotic symptoms
Pinckaers F, Rotee I, Nwosu C, Krolinski P, Smeets A, Gülöksüz S, de Jong L, Vaessen T, Damen T, Uittenboogaard A, Schäfer A, Menne-Lothmann C, Decoster J, van Winkel R, Collip D, Delespaul P, De Hert M, Derom C, Thiery E, Jacobs N, Wichers M, Rutten B, van Os J, Drukker M. Evidence for interaction between genetic liability and childhood trauma in the development of psychotic symptoms. Social Psychiatry And Psychiatric Epidemiology 2019, 54: 1045-1054. PMID: 31209522, DOI: 10.1007/s00127-019-01711-z.Peer-Reviewed Original ResearchConceptsChildhood traumaGenetic liabilityImpact of CTSymptom Checklist-90 scoresMixed-effects linear regression analysisSubthreshold psychotic experiencesChildhood Trauma Questionnaire-Short FormExpression of psychosisGeneral population twinsQuestionnaire-Short FormPsychosis expressionMultilevel mixed-effects linear regression analysesRisk factorsPsychotic symptomsSymptom subscalesLinear regression analysisSubthreshold expressionTotal scoreStatistical significancePsychic Experience (CAPE) questionnaireRegression analysisIdentifying psychosis spectrum disorder from experience sampling data using machine learning approaches
Stamate D, Katrinecz A, Stahl D, Verhagen S, Delespaul P, van Os J, Guloksuz S. Identifying psychosis spectrum disorder from experience sampling data using machine learning approaches. Schizophrenia Research 2019, 209: 156-163. PMID: 31104913, DOI: 10.1016/j.schres.2019.04.028.Peer-Reviewed Original Research