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Updated: Jul 1, 2026

Transcranial Direct Current Stimulation (tDCS) of Wernicke's and Broca's Areas in Studies of Language Learning and Word Acquisition
Published on: July 13, 2019
The Extended Language Network: Language-Responsive Brain Areas Whose Contributions to Language Remain To Be
Agata Wolna1, Aaron Wright2, Colton Casto2,3,4
1McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 awolna@mit.edu evelina9@mit.edu.
Abstract:
Although language neuroscience has largely focused on "core" left frontal and temporal brain areas and their right-hemisphere homotopes, numerous other areas-cortical and subcortical-have been implicated in linguistic processing. However, these areas' contributions to language remain unclear given that the evidence for their recruitment comes from diverse paradigms, many of which conflate language processing with perceptual, motor, or task-related cognitive processes. Using fMRI data from 772 participants (438 females, 334 males) performing an extensively validated language "localizer" paradigm that isolates language processing from other processes, we (1) delineate a comprehensive set of areas that respond reliably to language across written and auditory modalities and (2) evaluate these areas' selectivity for language relative to a demanding nonlinguistic task. In line with prior claims, many areas outside the core fronto-temporal network respond during language processing, and most of them show selectivity for language relative to general task demands. These language-selective areas of the extended language network include areas around the temporal poles, in the medial frontal cortex, in the hippocampus, and in the cerebellum, among others. Although distributed across many parts of the brain, the extended language-selective network still only comprises a small fraction (<5%) of the gray matter volume, challenging the view that the entire brain processes language. These newly identified language-selective areas can now be systematically characterized to decipher their contributions to language processing, including testing whether these contributions differ from those of the core language areas.
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