Introduction: Insight in schizophrenia spectrum disorders (SSD) is associated with outcomes. Although the neurocognitive basis of insight is widely accepted, the specific contribution of decision-making (Jumping to Conclusions [JTC]), Cognitive Insight (CI), and Theory of Mind (ToM) to insight remains unclear.
Methods: The sample included N = 77 SSD outpatients aged 18-64 years from a randomized controlled trial of metacognitive training. Assessments included JTC-Beads Task, CI-Beck Cognitive Insight Scale, ToM-Hinting Task, and the Emotions Recognition Test Faces.
Statistics: hierarchical multivariable linear regression models tested their contribution to total insight (TI) and three insight dimensions - illness recognition (IR), symptom relabelling (SR), and treatment compliance (TC) - measured with the Schedule for the Assessment of Insight - Expanded version, whilst adjusting for potential confounders.
Results: Bivariate analyses showed that CI was associated with TI (R2 change = 0.214; p < 0.001), IR (R2 change = 0.154; p = 0.003), and SR (R2 change = 0.168; p = 0.003), while JTC predicted IR (R2 change = 0.790; p = 0.020). Multivariable regression models showed that CI predicted TI (R2 change = 0.116; p = 0.036) and SR (R2 change = 0.166, p = 0.011), whereas JTC was linked with IR (R2 change = 0.710; p = 0.026). ToM was not linked with any insight score. No cognitive variable was associated with treatment compliance.
Discussion: Results supported the (meta)cognitive model of insight in SSD. JTC and CI emerged as the main (meta)cognitive processes underlying insight. Metacognitive interventions may therefore improve insight in SSD, although these therapies alone may fail to address treatment compliance.
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iScience
January 2025
International Institute for Applied Systems Analysis, Laxenburg, Lower Austria, Austria.
Cost reductions are essential for accelerating clean technology deployment. Because multiple factors influence costs, traditional one-factor learning models, solely relying on cumulative installed capacity as an explanatory variable, may oversimplify cost dynamics. In this study, we disentangle learning and economies of scale effects at unit and project levels and introduce a knowledge gap concept to quantify rapid technological change's impact on costs.
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Key Laboratory of Resources Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology of Shaanxi Province, the College of Life Sciences, Northwest University, Xi'an 710069, China.
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Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), Pohang, South Korea.
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January 2025
Mammalian Embryo and Stem Cell Group, University of Cambridge, Department of Physiology, Development and Neuroscience, Downing Street, Cambridge CB2 3DY, UK.
The implantation of the mouse blastocyst initiates a complex sequence of tissue remodeling and cell differentiation events required for morphogenesis, during which the extraembryonic primitive endoderm transitions into the visceral endoderm. Through single-cell RNA sequencing of embryos at embryonic day 5.0, shortly after implantation, we reveal that this transition is driven by dynamic signaling activities, notably the upregulation of BMP signaling and a transient increase in Sox7 expression.
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