There is a growing recognition of the influence of both genetic and ecological context in shaping different cognitive traits. The hippocampal region is identified as a critical area for memory and learning in mammals, susceptible to modification by environmental influences. Although previous studies have identified the effects of various factors on cognitive parameters during early development, comparatively few research was conducted on wild species to analyze the role of natural environmental stimuli in the formation of spatial learning and memory abilities. Thus, to assess the importance of exposure to a complex and challenging environment during early development, we compared spatial learning performance of captive-born tuco-tucos with previous data obtained in our laboratory from wild-born adult tuco-tucos. The results showed that wild-born individuals learned faster, requiring less time to complete a labyrinth and making fewer errors than those who had no experience in their natural environment. These findings underscore the importance of considering ecological factors in understanding the evolution of brains and cognitive abilities.
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http://dx.doi.org/10.1016/j.beproc.2023.104981 | DOI Listing |
J Opt Soc Am A Opt Image Sci Vis
August 2024
Compressed ultrafast photography (CUP) is a high-speed imaging technique with a frame rate of up to ten trillion frames per second (fps) and a sequence depth of hundreds of frames. This technique is a powerful tool for investigating ultrafast processes. However, since the reconstruction process is an ill-posed problem, the image reconstruction will be more difficult with the increase of the number of reconstruction frames and the number of pixels of each reconstruction frame.
View Article and Find Full Text PDFJ Cell Mol Med
January 2025
Department of Anesthesia, Fujian Medical University Union Hospital, Fuzhou, China.
In this study, we aimed to explore the sex-specific effects and mechanisms of sevoflurane exposure on the neural development of pubertal rats on the basis of M1/M2 microglial cell polarisation and related signalling pathways. A total of 48 rat pups (24 males and 24 females) were assigned to the 0- or 2-h sevoflurane exposure group on the seventh day after birth. The Morris water maze (MWM) test was subsequently conducted on the 32nd to 38th days after birth.
View Article and Find Full Text PDFFront Neurosci
January 2025
HealthPartners Institute, Neuroscience Research, HealthPartners Neuroscience Center, Saint Paul, MN, United States.
Introduction: Intranasal (IN) deferoxamine (DFO) has emerged over the past decade as a promising therapeutic in preclinical experiments across neurodegenerative and neurovascular diseases. As an antioxidant iron chelator, its mechanisms are multimodal, involving the binding of brain iron and the consequent engagement of several pathways to counter pathogenesis across multiple diseases. We and other research groups have shown that IN DFO rescues cognitive impairment in several rodent models of Alzheimer Disease (AD).
View Article and Find Full Text PDFBioData Min
January 2025
School of Mathematics, Foshan University, Foshan, 528000, China.
Background: The accurate identification of molecular subtypes in digestive tract cancer (DTC) is crucial for making informed treatment decisions and selecting potential biomarkers. With the rapid advancement of artificial intelligence, various machine learning algorithms have been successfully applied in this field. However, the complexity and high dimensionality of the data features may lead to overlapping and ambiguous subtypes during clustering.
View Article and Find Full Text PDFBMC Bioinformatics
January 2025
Centre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
Background: Due to the complexity and cost of preparing histopathological slides, deep learning-based methods have been developed to generate high-quality histological images. However, existing approaches primarily focus on spatial domain information, neglecting the periodic information in the frequency domain and the complementary relationship between the two domains. In this paper, we proposed a generative adversarial network that employs a cross-attention mechanism to extract and fuse features across spatial and frequency domains.
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