Browsing by Author "Aleman, Andre"

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    F105. Measuring Empathy in Schizophrenia: The Empathic Accuracy Task and Its Correlation With Other Empathy Measures
    (Oxford University Press, 2018-04) Donkersgoed, Rozanne van; Sportel, Bouwina; De Jong, Steven; aan het Rot, Marije; Wunderink, Alexander; Lysaker, Paul; Hasson-Ohayon, Ilanit; Aleman, Andre; Pijnenborg, Marieke (Gerdina); Psychiatry, School of Medicine
    Background Empathy is a complex interpersonal process thought to be impaired in individuals with schizophrenia spectrum disorders. Past studies have mainly used questionnaires or performance-based tasks with static cues to measure cognitive and affective empathy. In contrast, we used an Empathic Accuracy Task (EAT) designed to capture the more dynamic aspects of empathy by using video clips in which perceivers continuously judge emotionally charged stories of various targets. We compared individuals with schizophrenia to healthy controls on the EAT and assessed correlations among the EAT and three other commonly used empathy tasks. Methods Patients (n=92) and healthy controls (n=42) matched for age and education, completed the EAT, the Interpersonal Reactivity Index, the Questionnaire of Cognitive and Affective Empathy and the Faux Pas task. Differences between groups were analyzed and correlations were calculated between empathy measurement instruments. Results The groups differed in EAT performance, with controls outperforming patients. A moderating effect was found for the emotional expressivity of the target: while both patients and controls scored low when judging targets with low expressivity, controls performed better than patients with more expressive targets. Though there were also group differences on the cognitive and affective empathy questionnaires (with lower scores for patients in comparison to controls), EAT performance did not correlate with questionnaire scores. Reduced empathy performance did not seem to be part of a generalized cognitive deficit, as differences between patients and controls on general cognition was not significant. Discussion Individuals with schizophrenia benefit less from the emotional expressivity of other people than controls, which contributes to their impaired empathic accuracy. The lack of correlation between the EAT and the questionnaires suggests a distinction between self-report empathy and actual empathy performance. To explore empathic difficulties in real life, it is important to use instruments that take the interpersonal perspective into account.
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    Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
    (Springer Nature, 2017-09) Petrov, Dmitry; Gutman, Boris A.; Yu, Shih-Hua (Julie); van Erp, Theo G.M.; Turner, Jessica A.; Schmaal, Lianne; Veltman, Dick; Wang, Lei; Alpert, Kathryn; Isaev, Dmitry; Zavaliangos-Petropulu, Artemis; Ching, Christopher R.K.; Calhoun, Vince; Glahn, David; Satterthwaite, Theodore D.; Andreasen, Ole Andreas; Borgwardt, Stefan; Howells, Fleur; Groenewold, Nynke; Voineskos, Aristotle; Radua, Joaquim; Potkin, Steven G.; Crespo-Facorro, Benedicto; Tordesillas-Gutirrez, Diana; Shen, Li; Lebedeva, Irina; Spalletta, Gianfranco; Donohoe, Gary; Kochunov, Peter; Rosa, Pedro G.P.; James, Anthony; Dannlowski, Udo; Baune, Berhard T.; Aleman, Andre; Gotlib, Ian H.; Walter, Henrik; Walter, Martin; Soares, Jair C.; Ehrlich, Stefan; Gur, Ruben C.; Doan, N. Trung; Agartz, Ingrid; Westlye, Lars T.; Harrisberger, Fabienne; Richer-Rossler, Anita; Uhlmann, Anne; Stein, Dan J.; Dickie, Erin W.; Pomarol-Clotet, Edith; Fuentes-Claramonte, Paola; Canales-Rodriguez, Erick Jorge; Salvador, Raymond; Huang, Alexander J.; Roiz-Santianez, Roberto; Cong, Shan; Tomyshev, Alexander; Piras, Fabrizio; Vecchio, Daniela; Banaj, Nerisa; Ciullo, Valentina; Hong, Elliot; Busatto, Geraldo; Zanetti, Marcus V.; Serpa, Mauricio H.; Cervenka, Simon; Kelly, Sinead; Grotegerd, Dominik; Sacchet, Matthew D.; Veer, Illya M.; Li, Meng; Wu, Mon-Ju; Irungu, Benson; Walton, Esther; Thompson, Paul M.; Medicine, School of Medicine
    As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality for meshes representing deep brain structure shapes. We use standard vertex-wise and global shape features computed homologously across 19 cohorts and over 7500 human-rated subjects, training kernelized Support Vector Machine and Gradient Boosted Decision Trees classifiers to detect meshes of failing quality. Our models generalize across datasets and diseases, reducing human workload by 30-70%, or equivalently hundreds of human rater hours for datasets of comparable size, with recall rates approaching inter-rater reliability.
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    Predicting therapy success from the outset: The moderating effect of insight into the illness on metacognitive psychotherapy outcome among persons with schizophrenia
    (Wiley, 2019) de Jong, Steven; Hasson-Ohayon, Ilanit; van Donkersgoed, Rozanne J. M.; Timmerman, Marieke E.; van der Gaag, Mark; Aleman, Andre; Pijnenborg, G. H. Marieke; Lysaker, Paul H.; Psychiatry, School of Medicine
    The degree to which a person recognizes their mental disorder, attributes symptoms to the disorder, and recognizes that treatment may be necessary is frequently referred to as clinical insight. The current study investigates whether clinical insight at baseline moderates the effects on metacognitive capacity of 40 sessions of metacognitive reflection and insight therapy among 35 participants with psychosis. Findings showed that clinical insight did not predict drop‐out from therapy. Multilevel analyses provided support for our hypotheses that insight at baseline significantly moderates metacognitive gains at both postmeasurement and follow‐up. Our findings demonstrate that lacking clinical insight substantially hampers the effect of this psychosocial intervention. We posit that research efforts should shift from developing interventions, which enhance clinical insight, to interventions, which are effective in absence of clinical insight.