Ethnopharmacological Significance: Bu-Wang-San (BWS) is a traditional Chinese herbal medicine for the treatment of learning and memory impairment. The effect of BWS on neuroprotection and how BWS increases CA1 dendritic spine synapse density in menopaused women was investigated in the model of ovariectomized (OVX) rats.
Materials And Methods: Sixteen OVX rats were divided into two groups, the OVX group and OVX+BWS group. After 3 months, Morris water maze was used to assess spatial acquisition and spatial retention. Swim time, swim distance, swim speed, quadrant time and platform crossing were recorded. The ultrastructure of the pyramidal cell and spine synapse density were examined by transmission electron microscopy (TEM).
Results: In the spatial acquisition and spatial retention phase of testing, BWS group functioned significantly better than control group. Ultrastructural observation of the hippocampal CA1 region of OVX group showed swelling of mitochondria, the broken and reduced cristas and even crista dissolution; however, the mitochondria were protected well in BWS group. In addition, BWS significantly increased spine synapse density.
Conclusions: These results suggested that BWS could improve cognitive ability of menopause-induced learning and memory impairment. The positive effect of BWS on rat learning and memory was associated with increase of spinal synapse density and protection of mitochondrial function of the pyramidal cell in hippocampal CA1 region from menopause-induced injury.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jep.2008.02.014 | DOI Listing |
JMIR Form Res
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observation tools, which can lead to inconsistencies in pain management. Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
February 2025
Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology, Trondheim 7030, Norway.
Replication and the reported crises impacting many fields of research have become a focal point for the sciences. This has led to reforms in publishing, methodological design and reporting, and increased numbers of experimental replications coordinated across many laboratories. While replication is rightly considered an indispensable tool of science, financial resources and researchers' time are quite limited.
View Article and Find Full Text PDFJ Exp Psychol Gen
January 2025
Institute for Mind and Biology, University of Chicago.
Individual differences in working memory predict a wide range of cognitive abilities. However, little research has been done on whether working memory continues to predict task performance after repetitive learning. Here, we tested whether working memory ability continued to predict long-term memory (LTM) performance for picture sequences even after participants showed massive learning.
View Article and Find Full Text PDFPsychol Rev
January 2025
Department of Cognitive Science, University of California, San Diego.
It has long been hypothesized that episodic memory supports adaptive decision making by enabling mental simulation of future events. Yet, attempts to characterize this process are surprisingly rare. On one hand, memory research is often carried out in settings that are far removed from ecological contexts of decision making.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi Arabia.
Modernizing power systems into smart grids has introduced numerous benefits, including enhanced efficiency, reliability, and integration of renewable energy sources. However, this advancement has also increased vulnerability to cyber threats, particularly False Data Injection Attacks (FDIAs). Traditional Intrusion Detection Systems (IDS) often fall short in identifying sophisticated FDIAs due to their reliance on predefined rules and signatures.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!