Two analytic traditions characterize fMRI language research. One relies on averaging activations across individuals. This approach has limitations: because of inter-individual …
Background Pathophysiological inquiries into schizophrenia require a consideration of one of its most defining features: disorganization and impoverishment in verbal behavior. This …
Artificial neural networks have emerged as computationally plausible models of human language processing. A major criticism of these models is that the amount of training data …
Abstract Language comprehension and the ability to infer others' thoughts (theory of mind [ToM]) are interrelated during development and language use. However, neural evidence …
White matter tracts form the structural basis of large-scale brain networks. We applied brain- wide tractography to diffusion images from 30,810 adults (UK Biobank) and found significant …
Going beyond the literal meaning of language is key to communicative success. However, the mechanisms that support non-literal inferences remain debated. Using a novel meta …
Auditory language comprehension recruits cortical regions that are both close to sensory- motor landmarks (supporting auditory and motor features) and far from these landmarks …
Prior research suggests that the organization of the language network in the brain is left- dominant and becomes more lateralized with age and increasing language skill. The age at …
The language network, comprised of brain regions in the left frontal and temporal cortex, responds robustly and reliably during language comprehension but shows little or no …