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Multi-component behavior is a form of goal-directed behavior that depends on the ability to execute various responses in a precise temporal order. Even though this function is vital for any species, little is known about how non-mammalian species accomplish such behavior and what the underlying neural mechanisms are. We show that humans and a non-mammalian species (pigeons) perform equally well in multi-component behavior and provide a validated experimental approach useful for cross-species comparisons. Applying molecular imaging methods, we identified brain regions most important for the examined behavioral dynamics in pigeons. Especially activity in the nidopallium intermedium medialis pars laterale (NIML) was specific to multi-component behavior since only activity in NIML was predictive for behavioral efficiency. The data suggest that NIML is important for hierarchical processing during goal-directed behavior and shares functional characteristics with the human inferior frontal gyrus in multi-component behavior.
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http://dx.doi.org/10.1016/j.isci.2021.103195 | DOI Listing |
J Nephrol
September 2025
Department of Psychology, Institute of Psychiatry, Psychology & Neuroscience, Health Psychology Section, King's College London, 5th Floor Bermondsey Wing, Guy's Campus, London Bridge, London, SE1 9RT, UK.
Background: Depression and anxiety are common in chronic kidney disease (CKD) and worsen clinical outcomes. Psycho-behavioural interventions offer a promising, non-pharmacological approach. However, most evidence comes from people with kidney failure with distinct treatment needs, limiting relevance to earlier stages of CKD, where timely support may enhance self-management and slow progression.
View Article and Find Full Text PDFRSC Adv
September 2025
Department of Medicinal Chemistry, Faculty of Pharmacy, Galala University P. O. 43713 New Galala Egypt
Isatin (1-indole-2,3-dione) is a privileged nitrogen-containing heterocyclic framework that has received considerable attention in anticancer drug discovery owing to its general biological behavior and structural diversity. This review focuses on isatin-heterocyclic hybrids as a valuable model in the development of new anti-cancer drugs that may reduce side effects and help overcome drug resistance, discussing their synthetic approaches and mechanism of action as apoptosis induction through kinase inhibition. With various chemical modifications, isatin had an excellent ability to build powerful isatin hybrids and conjugates targeting multiple oncogenic pathways.
View Article and Find Full Text PDFJ Colloid Interface Sci
September 2025
Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, College of Engineering, Zhejiang Normal University, Jinhua 321004, China. Electronic address:
Developing high-performance wearable flexible sensors that can adapt well to complex environments has become a hotspot. Herein, a polyvinyl alcohol based composite hydrogel sensor with high mechanical strength, desirable frost/swelling resistance, and highly sensitive sensing performance was proposed by a multi-component collaborative design strategy. Meanwhile, an intelligent gesture recognition system was established by combining machine learning algorithm.
View Article and Find Full Text PDFTrials
September 2025
Institute for Global Health, University College London, London, UK.
Background: Antiretroviral therapy (ART) has transformed HIV into a manageable health condition with normal life expectancy. However, people with HIV continue to have poorer mental health compared to background populations, which may be linked to stigma, lack of social support, or socioeconomic challenges. Personalised care aims to improve the outcomes of people with long-term health conditions and the National Health Service (NHS) Long Term Plan looks to implement this (including access to health coaching and social prescribing).
View Article and Find Full Text PDFJ Pharm Anal
August 2025
School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.
Traditional Chinese medicine (TCM) features complex compatibility mechanisms involving multi-component, multi-target, and multi-pathway interactions. This study presents an interpretable graph artificial intelligence (GraphAI) framework to quantify such mechanisms in Chinese herbal formulas (CHFs). A multidimensional TCM knowledge graph (TCM-MKG; https://zenodo.
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