Although the prelimbic (PrL) area is associated with social behaviors, the neural ensembles that regulate social preference toward novelty or familiarity remain unknown. Using miniature two-photon microscopy (mTPM) to visualize social behavior-associated neuronal activity within the PrL in freely behaving mice, we found that the Ca transients of GABAergic neurons were more highly correlated with social behaviors than those of glutamatergic neurons. Chemogenetic suppression of social behavior-activated GABAergic neurons in the PrL disrupts social novelty behaviors. Restoring the MeCP2 level in PrL GABAergic neurons in transgenic (-TG) mice rescues the social novelty deficits. Moreover, we identified and characterized sparsely distributed NewPNs and OldPNs of GABAergic interneurons in the PrL preferentially responsible for new and old mouse exploration, respectively. Together, we propose that social novelty information may be encoded by the responses of NewPNs and OldPNs in the PrL area, possibly via synergistic actions on both sides of the seesaw.
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http://dx.doi.org/10.1126/sciadv.abo4884 | DOI Listing |
Neuropsychopharmacology
January 2025
Grupo de Neurociencia de Sistemas, Departamento de Ciencias Fisiológicas, Facultad de Ciencias Médicas, Universidad de Buenos Aires, Buenos Aires, Argentina.
Emotion recognition is fundamental for effective social interactions among conspecifics. Impairments in affective state processing underlie several neuropsychiatric disorders, including schizophrenia, although the neurobiological substrate of these deficits remains unknown. We investigated the impact of early NMDA receptor hypofunction on socio-affective behaviors.
View Article and Find Full Text PDFSci Rep
January 2025
International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
Premature ventricular contraction (PVC) is characterized by early repolarization of the myocardium originating from Purkinje fibers. PVC may occur in individuals who are otherwise healthy. However, it may be associated with some pathological conditions.
View Article and Find Full Text PDFCommun Earth Environ
January 2025
Department of Environmental & Resource Engineering, Technical University of Denmark, Kongens Lyngby, Denmark.
Permafrost thaw poses diverse risks to Arctic environments and livelihoods. Understanding the effects of permafrost thaw is vital for informed policymaking and adaptation efforts. Here, we present the consolidated findings of a risk analysis spanning four study regions: Longyearbyen (Svalbard, Norway), the Avannaata municipality (Greenland), the Beaufort Sea region and the Mackenzie River Delta (Canada) and the Bulunskiy District of the Sakha Republic (Russia).
View Article and Find Full Text PDFJ Pharmacol Sci
February 2025
Division of Pharmacology, Graduate School of Medicine, Kobe University, Kobe, 650-0017, Japan; Japan Agency for Medical Research and Development, Tokyo, 100-0004, Japan. Electronic address:
Aging affects emotional, cognitive, and social functions, increasing susceptibility to neuropsychiatric conditions. C57BL/6 mice are commonly used to study aging mechanisms, yet differences between C57BL/6J and C57BL/6N substrains remain underexplored. This study compared aging-related behavioral changes in these substrains.
View Article and Find Full Text PDFSci Rep
January 2025
Business School, Sichuan University, 610059, Chengdu, China.
The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect the overall evaluation results and ranking of alternatives. This study introduces a multi-indicator fuzzy comprehensive benefit evaluation approach for the selection of LID measures, aiming to provide a robust and holistic framework for evaluating their benefits at the community level. The proposed methodology integrates quantitative environmental and economic indicators with qualitative social benefit indicators, combining the use of the Storm Water Management Model (SWMM) and ArcGIS for scenario-based analysis, and the use of hesitant fuzzy language sets and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for decision-making.
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