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Study identifies brain areas that support social semantic accumulation

Past psychology studies have gathered evidence hinting at the existence of a brain network that processes the social meaning of individual words. Recently, some scientists have hypothesized that the same network also allows humans to evaluate the social meaning conveyed by longer texts, buy generic tenormin canada such as sentences or paragraphs.

Researchers at CAS Key Laboratory of Behavioral Science in China and University of Trento in Italy have recently carried out a study aimed at testing this hypothesis. Their findings, outlined in a paper published in the OXFORD Academic Social Cognitive and Affective Neuroscience journal, provides evidence suggesting that the same social semantic network identified in previous studies also supports the accumulation of connected social meanings.

“Our paper was mainly based on two lines of works, the first of which showed that a specific brain network represents the social meanings of words,” Nan Lin, Yangwen Xu and Guangyao Zhang, three of the researchers who carried out the study, told Medical Xpress via email. “For example, in a previous study, we found that thinking of high social-semantic-richness verbs (e.g. embrace and trust) evokes stronger activation than thinking of low social-semantic-richness verbs (e.g. walk and infer) does in this brain network.”

The recent study by Lin, Xu and Zhang also builds on previous findings suggesting that most brain areas within this hypothetical ‘social semantic network’ are more sensitive to sentence-level and discourse-level meanings than word-level meanings. In other words, these brain areas were found to be more active when people were processing sentences or discourses than lists of words. Moreover, these activation patterns appeared to gradually change when a person is trying to understand language, over a time that coincides with the time required to read specific sentences or paragraphs.

“We proposed the hypothesis that this ‘social semantic’ brain network does not simply represent the social meanings of words but also accumulates connected social meanings from texts,” Lin, Xu and Zhang explained. “We tested this hypothesis in an fMRI experiment, where participants read narratives, sentences, and word lists inside an fMRI scanner. These narratives, sentences, and word lists were constructed by using an identical group of words and the social semantic richness of all narratives, sentences, and words was carefully rated and manipulated.”

Interestingly, the researchers found that the brain areas involved in semantic processing were more active when people read narrative texts than when they read lists of words. Moreover, they observed that their activation could be better represented by considering how much entire texts had a social meaning than by how much individual words in a text did. Overall, these findings support the hypothesis that the social semantic brain network is not only involved in representing individual, socially relevant words, but that it also supports the accumulation of social meanings in a longer text.

“Our study linked the literature of distributed semantic representation with that of semantic accumulation,” Lin, Xu and Zhang said. “It was known that different kinds of semantic knowledge (e.g., color knowledge, motor knowledge, and social knowledge) are stored in different brain areas/networks. However, previous studies on semantic accumulation seldom considered the kinds of semantic information being processed, implicitly assuming that a unified brain system accumulates all kinds of semantic information.”

Overall, the findings gathered by this team of researchers suggest that semantic accumulation is supported by a series of regions in different parts of the brain. Interestingly, these areas appear to be the same as those involved in processing the social meaning of individual words.

These findings offer new valuable insight on how humans process words and texts related to social interactions. In the future, they could inform further studies focusing on the same brain network and examining its activation patterns.

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