Background/aims: Portal hypertension in patients and rat models are characterized by splanchnic and systemic hemodynamic alterations. Both the central and autonomic nervous systems are implicated in its pathophysiology. The aim of our research was to study the tyrosine hydroxylase activity and the rate limiting step in the biosynthesis of catecholamines in partial ligated portal hypertensive and in control rat brains.
Methodology: The following seven discrete brain regions were investigated: Subfornical Organ, Organum Vasculosum Lamina Terminalis, Median Eminence, Periventricular Nucleus, Area Postrema, Locus Coeruleus and Nucleus Tractus Solitarius.
Results: The enzyme activity showed a significant increment in six nuclei and a decrease in Area Postrema Nucleus when portal hypertensive rats were compared to controls.
Conclusions: These results suggest the participation of some discrete brain regions in the mechanism of hepatic portal hypertension under the present rat model.
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Neural Netw
January 2025
Institute of Cognitive Sciences and Technologies, National Research Council, Padova, Italy. Electronic address:
By dynamic planning, we refer to the ability of the human brain to infer and impose motor trajectories related to cognitive decisions. A recent paradigm, active inference, brings fundamental insights into the adaptation of biological organisms, constantly striving to minimize prediction errors to restrict themselves to life-compatible states. Over the past years, many studies have shown how human and animal behaviors could be explained in terms of active inference - either as discrete decision-making or continuous motor control - inspiring innovative solutions in robotics and artificial intelligence.
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Center for Cognition and Brain Disorders / Department of Neurology, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 311121, China.
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Ashton Graybiel Spatial Orientation Laboratory, Brandeis University, MS 033, 415 South Street, Waltham, MA, 02453, USA.
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Center for Cognitive Science, Institute for Convergence Science and Technology (ICST), Sharif University of Technology, Tehran, Iran.
The brain can remarkably adapt its decision-making process to suit the dynamic environment and diverse aims and demands. The brain's flexibility can be classified into three categories: flexibility in choosing solutions, decision policies, and actions. We employ two experiments to explore flexibility in decision policy: a visual object categorization task and an auditory object categorization task.
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