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Volume 17, Number 1, Issue of January 1, 1997 pp. 353-362
Copyright ©1997 Society for NeuroscienceHuman Brain Language Areas Identified by Functional Magnetic Resonance Imaging
Received Aug. 1, 1996; revised Oct. 7, 1996; accepted Oct. 11, 1996.
Jeffrey R. Binder1, 2, Julie A. Frost1, Thomas A. Hammeke1, Robert W. Cox3, Stephen M. Rao1, 2, and Thomas Prieto1 Departments of 1 Neurology and 2 Cellular Biology and Anatomy, and 3 Biophysics Research Institute, Medical College of Wisconsin, Milwaukee, Wisconsin 53226
Functional magnetic resonance imaging (FMRI) was used to identify candidate language processing areas in the intact human brain. Language was defined broadly to include both phonological and lexical-semantic functions and to exclude sensory, motor, and general executive functions. The language activation task required phonetic and semantic analysis of aurally presented words and was compared with a control task involving perceptual analysis of nonlinguistic sounds. Functional maps of the entire brain were obtained from 30 right-handed subjects. These maps were averaged in standard stereotaxic space to produce a robust "average activation map" that proved reliable in a split-half analysis. As predicted from classical models of language organization based on lesion data, cortical activation associated with language processing was strongly lateralized to the left cerebral hemisphere and involved a network of regions in the frontal, temporal, and parietal lobes. Less consistent with classical models were (1) the existence of left hemisphere temporoparietal language areas outside the traditional "Wernicke area," namely, in the middle temporal, inferior temporal, fusiform, and angular gyri; (2) extensive left prefrontal language areas outside the classical "Broca area"; and (3) clear participation of these left frontal areas in a task emphasizing "receptive" language functions. Although partly in conflict with the classical model of language localization, these findings are generally compatible with reported lesion data and provide additional support for ongoing efforts to refine and extend the classical model.
Key words: language; functional magnetic resonance imaging; brain mapping; semantic; phonological; auditory cortex
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