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Petra E Vértes

2 papers in the library · 5 citations · publishing 2016-2024

Papers

Distinct alterations in probabilistic reversal learning across at-risk mental state, first episode psychosis and persistent schizophrenia.

Scientific Reports July 30, 2024 J. D. Griffin, K. M. J. Diederen, J. Haarsma et al. 5 citations

People with first episode psychosis and treatment-resistant schizophrenia show reduced ability to stabilize their decision-making strategies in uncertain environments, resembling effects previously seen with the drug ketamine. In two studies, participants completed a probabilistic reversal learning task. Those with first episode psychosis made more errors and shifted strategies too often after misleading feedback. The treatment-resistant schizophrenia group also shifted strategies more, though their overall accuracy was not significantly reduced. Computational modeling revealed that only the treatment-resistant schizophrenia group showed altered confidence-based modulation of responding, similar to ketamine effects, though these modeling results are considered preliminary due to model limitations.

Large-Scale Functional Brain Network Reorganization During Taoist Meditation.

Brain Connectivity February 1, 2016 Tun Jao, Chia-Wei Li, Petra E Vértes et al.

Meditation produces a distinct, reversible mental state that reorganizes brain network hubs and connections without altering global network properties like small-worldness. Analyzing resting-state fMRI data from 18 Taoist meditators of varying expertise, the study found that during meditation, sensory cortex areas (primary visual and auditory cortices, temporopolar areas) showed decreased connectivity, while the thalamus and default mode network components (precuneus, posterior cingulate cortex) increased connectivity. Long-distance front-to-back connections increased, while right-left connections between homologous cortices decreased. These changes suggest that shifts in consciousness involve both topological and spatial reorganization of brain networks, with the anatomical pattern of integration being as important as its overall level.