How the brain constructs meaning across extended contexts remains poorly understood. While neural responses to words and sentences are well characterized, much less is known about the brain mechanisms supporting narrative comprehension. Sentence-level studies suggest that neural activation increases as word meanings are integrated into sentence meaning. At the discourse level, theories propose that narratives depend on situation models, possibly engaging networks beyond core language regions, including the default mode network. Because narrative comprehension unfolds over longer timescales, processing time may be a bottleneck. In this MEG study, we tested how representation size and presentation rate shape neural responses by varying linguistic structure (words, sentences, stories) and the speed of visual text in 1–4-word chunks. We found an early bilateral story effect in visual cortex, followed by a spatiotemporal progression of activity along the temporal lobes that culminated in a three-way contrast among word lists, sentence lists, and stories. Faster presentation altered this pattern: the left-lateralized story effect disappeared, and the right-lateralized effect became more spatially restricted. Under Fast presentation, significant effects were limited to left lateral language cortex distinguishing coherent inputs from word lists, and to two right-hemisphere story effects in extended language regions. We also observed a context effect in the Slow Story condition, with neural responses remaining constant as the narrative unfolded while they increased in the SentenceList and WordList conditions. This effect was absent under Fast presentation, suggesting story-specific comprehension that is temporally constrained. Together, the findings identify temporal constraints as a key determinant of the neural signatures of narrative processing.
Although we increasingly understand how the brain processes phrase-level meaning, the role of semantic content remains underexplored. Recent models grounded in componential experiential features offer a principled framework for linking conceptual representation to the neurobiology of semantic composition. Here we used...
Shao-Nan Wang, Songhee Kim, J. Binder et al.· Journal of Neuroscience· 0 citations
Humans remember sentences far better than random word lists—a phenomenon known as the sentence-superiority effect. Traditional views attribute this effect to content-general mechanisms, in which syntactic–semantic processing facilitates memory across all types of semantic content. However, emerging evidence suggests...
Wanying Zhao, Weiting Shi, Bai-Shen Liang et al.· Neurobiology of Language· 0 citations
Human language processing can be studied through both behavior and brain activity, yet it remains unclear whether these two data types reflect sensitivity to the same information. One influential view holds that both behavioral and neural responses are largely determined by processing effort, often estimated by word su...
Andrea Gregor de Varda, Yevgeni Berzak, Evelina Fedorenko et al.· bioRxiv· 0 citations
The neural mechanisms underlying the brain's representation of event gist remain poorly understood. In this study, we investigate the neural architecture and computational principles governing the hierarchical representation of event gist in the human brain. Using an integrative approach that combines natural language...
Kai-Zhou Li, Peng Ren, Qiu-Yi Liu et al.· NeuroImage· 0 citations
Language is a complex cognitive system that functions not only as a means of communication but also as a mental process occurring in the human brain. This study examines the cognitive processing of meaning within a linguistic framework in the brain during English comprehension among English as a Foreign Language (EFL)...
Ira Tiara Rahayu, Lusiana Suciati Dewi· Teaching English and Languag...· 0 citations
Abstract Encoding new information through language underlies much of human learning, yet the neural dynamics that transform linguistic input into lasting conceptual representations remain unclear. Methodological constraints in neuroimaging have siloed the study of language comprehension into isolated subprocesses (word...
M. Hong, Andrew Janson, Prasanna Koirala et al.· Cerebral Cortex· 0 citations
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