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Researchers discover distributed brain network underlying neural representations of biological motion attributes

Biological motion refers to the kinesthetic information of living beings (i.e., humans and animals). The ability of biological motion perception is crucial for the organism’s survival and social interaction. Biological motion contains multidimensional attributes, including physical, biological and social attributes. How does our brain extract each attribute from multidimensional biological motion stimuli, and what is the relationship between the processing of different attributes?

A research team led by Prof. Jiang Yi from the Institute of Psychology of the Chinese Academy of Sciences used imaging (fMRI) to investigate the neural mechanisms underlying the processing of multidimensional biological motion attributes in the . They used point-light displays as test stimuli, in which only the movement trajectories of a person’s major joints are represented by a set of dots. They systematically manipulated three attributes of biological motion: walking direction, gender, and .

Using multiple regression representation similarity analysis (RSA), the researchers identified the brain networks involved in the processing of these three attributes. The that encode the walking direction attribute are mainly located in the dorsal cortical areas, those that represent the gender attribute are located in the frontal and , and the neural representations of the emotional state attribute widely involve the dorsal and ventral cortical areas.

Researchers identify brain regions where word meaning is retrieved

A new study by researchers at the Medical College of Wisconsin (MCW) reveals the areas of the brain where the meanings of words are retrieved from memory and processed during language comprehension. Previous neuroimaging studies had indicated that large portions of the temporal, parietal, and frontal lobes participate in processing language meaning, but it was unknown which regions encoded information about individual word meanings.

“We found that word meaning was represented in several high-level (i.e., areas that are not closely connected to primary sensory or motor areas), including the classical ‘language areas’ known as Broca’s area and Wernicke’s area,” said Dr. Leonardo Fernandino, assistant professor of neurology and biomedical engineering at MCW. “Interestingly, however, some regions not previously considered as important for language processing were among those containing the most information about word meaning.”

Additionally, they also investigated whether the neural representations of word meaning in each of these areas contained information about phenomenological experience (i.e., related to different kinds of perceptual, emotional, and action-related experiences), as several researchers had previously proposed, or whether they contained primarily information about conceptual categories (i.e., natural kinds) or about word co-occurrence statistics, as other researchers have theorized.

A single biological factor predicts distinct cortical organizations across mammalian species

Researchers have explained how visual cortexes develop uniquely across the brains of different mammalian species. A KAIST research team led by Professor Se-Bum Paik from the Department of Bio and Brain Engineering has identified a single biological factor, the retino-cortical mapping ratio, that predicts distinct cortical organizations across mammalian species.

This new finding has resolved a long-standing puzzle in understanding visual neuroscience regarding the origin of functional architectures in the visual cortex. The study, published in Cell Reports on March 10, demonstrates that the evolutionary variation of biological parameters may induce the development of distinct functional circuits in the visual cortex, even without -specific developmental mechanisms.

In the (V1) of mammals, neural tuning to visual stimulus orientation is organized into one of two distinct topographic patterns across species. While primates have columnar orientation maps, a salt-and-pepper type organization is observed in rodents.

Top 5 AI Therapists in 2025

As we move into 2025, mental health continues to be a vital aspect of overall well-being in an increasingly fast-paced and complex world.


- CBT-based exercises that help users manage anxiety, depression, and emotional stress.

- Daily check-ins with an AI chatbot to track moods and thoughts, enabling users to gain insights into their emotional health.

- Progress tracking to help users monitor improvements and identify recurring mental health challenges.

Smarter city planning: Researchers use brain activity to predict visits to urban areas

Urbanization, the process by which cities and towns expand in size and population, is rapidly advancing globally, and the percentage of people living in urban environments has increased from 33% in 1960 to 57% in 2023.

Now, researchers from Michigan State University are the first to measure to make predictions that could help inform enhanced urban planning and design that addresses the well-being of residents and visitors.

Dar Meshi, an associate professor in the Department of Advertising and Public Relations and director of the Social Media and Neuroscience Lab at MSU, led the study, which was recently published in the journal Nature Cities and included collaborators from the University of Lisbon in Portugal. Together, they found that the brain’s reward system can shape within urban environments and aid in designing cities that promote sustainable living.

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