Objective: Auditory verbal hallucinations (AVHs) in schizophrenia is proved to be associated with dysfunction of mesolimbic-cortical circuits, especially during abnormal salient and internal verbal resource monitoring processing procedures. However, the information flow among areas involved in coordinated interaction implicated the pathophysiology of AVHs remains unclear.
Methods: We used spectral dynamic causal modeling (DCM) to quantify connections among eight critical hubs of reward network in 86 first-episode drug-naïve schizophrenia patients with AVHs (AVH), 93 patients without AVHs (NAVH), and 88 matched normal controls (NC) using resting-state functional magnetic resonance imaging. Group-level connection coefficients, between-group differences and correlation analysis between image measures and symptoms were performed.
Result: DCM revealed weaker effective connectivity (EC) from right ventral striatum (RVS) to ventral tegmental area (VTA) in AVH compared to NAVH. AVH showed stronger EC from left anterior insula (AI) to RVS, stronger EC from RVS to anterior cingulate cortex (ACC), and stronger EC from VTA to posterior cingulate cortex (PCC) compared to NC. The correlation analysis results were mostly visible in the negative correlation between EC from right AI to ACC and positive sub-score, P1 sub-score, and P3 sub-score of PNASS in group-level.
Conclusion: These findings suggest that neural causal interactions between the reward network associated with AVHs are disrupted, expanding the evidence for potential neurobiological mechanisms of AVHs. Particularly, dopamine-dependent salience attribution and top-down monitoring impairments and compensatory effects of enhanced excitatory afferents to ACC, which may provide evidence for a therapeutic target based on direct in vivo of AVHs in schizophrenia.
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http://dx.doi.org/10.1016/j.jpsychires.2024.01.023 | DOI Listing |
Biol Psychiatry Glob Open Sci
March 2025
Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
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View Article and Find Full Text PDFNeuroimage Clin
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Cytotherapy
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Osteoarthritis Research Program, Division of Orthopedic Surgery, Schroeder Arthritis Institute, University Health Network, Toronto, Ontario, Canada; Krembil Research Institute, University Health Network, Toronto, Ontario, Canada; Institute of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Department of Medicine, Division of Hematology, University of Toronto, Toronto, Ontario, Canada. Electronic address:
The December 2024 US Food and Drug Administration (FDA) approval of Mesoblast's Ryoncil (remestemcel-L-rknd)-allogeneic bone marrow mesenchymal stromal cell (MSC(M)) therapy-in pediatric acute steroid-refractory graft-versus-host-disease finally ended a long-lasting drought on approved MSC clinical products in the United States. While other jurisdictions-including Europe, Japan, India, and South Korea-have marketed autologous or allogeneic MSC products, the United States has lagged in its approval. The sponsor's significant efforts and investments, working closely with the FDA addressing concerns regarding clinical efficacy and consistent MSC potency through an iterative process that spanned several years, was rewarded with this landmark approval.
View Article and Find Full Text PDFSci Rep
January 2025
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, India.
This study introduces a novel ensemble learning technique namely Multi-Armed Bandit Ensemble (MAB-Ensemble), designed for lane detection in road images intended for autonomous vehicles. The foundation of the proposed MAB-Ensemble technique is inspired in terms of Multi-Armed bandit optimization to facilitate efficient model selection for lane segmentation. The benchmarking dataset namely TuSimple is used for training, validating and testing the proposed and existing lane detection techniques.
View Article and Find Full Text PDFTrends Cogn Sci
January 2025
Department of Psychology, Humboldt University Berlin, Berlin, Germany; Center for Cognitive Neuroscience, Duke University, Durham, NC 27708, USA.
Creative problem solving and memory are inherently intertwined: memory accesses existing knowledge while creativity enhances it. Recent studies show that insights often accompanying creative solutions enhance long-term memory. This insight memory advantage (IMA) is explained by the 'insight as prediction error (PE)' hypothesis which states that insights arise from PEs updating predictive solution models and thereby enhancing memory.
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