The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Processing of Single Words Studied with Positron Emission Tomography
Abstract
Language, the most profoundly human of all abilities, has been a focus of study in many disciplines. Cognitive psychological studies of normals have been used to describe language-related information processing. The correlation of language-related behavioral deficits with the site of nervous system injury has been used to relate language processing to brain function. Over the past decade, there has been an explosion in the use of imaging technology, including positron emission tomography (PET), to study the structure and function of the human brain. This article explores how functional imaging with PET has been applied to the study of language, particularly the study of the processing of single words (lexical processing). To understand how PET is used in the study of lexical processing, one has to have some understanding of the technology of PET, a framework in which to explore the processing of words, and knowledge of the ques tions that can be addressed by the specific application of PET studies to issues in lexical processing. This paper follows that path with a brief general introduction to PET, an outline of some aspects of lexical processing, and a presentation of selected PET studies that have addressed issues in lexical processing.
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Cites
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Sokoloff, L., Reivich, M., Kennedy, C., Rosiers, M. H. D., Patlak, C. S., Pettigrew, K. D., Sakurada, O., & Shinohara, M. (1977) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1977.tb10649.x · Cited by 6,000
Fox, P. T., & Raichle, M. E. (1986) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.83.4.1140 · Cited by 2,056
Pardo, J. V., Pardo, P. J., Janer, K. W., & Raichle, M. E. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.1.256 · Cited by 1,495
Broca aphasia: Pathologic and clinical
MOHR, J. P., PESSIN, M. S., FINKELSTEIN, S., FUNKENSTEIN, H. H., DUNCAN, G. W., & DAVIS, K. R. (1978) · Neurology · doi:10.1212/wnl.28.4.311 · Cited by 549
The anatomic basis of pure alexia
Damasio, A. R., & Damasio, H. (1983) · Neurology · doi:10.1212/wnl.33.12.1573 · Cited by 492
Cited by
Price, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.062 · Cited by 2,159
Anatomical evidence for cerebellar and basal ganglia involvement in higher cognitive function
Middleton, F. A., & Strick, P. L. (1994) · Science · doi:10.1126/science.7939688 · Cited by 1,356
Pulvermüller, F. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x9900182x · Cited by 1,284
Specialization within the ventral stream: the case for the visual word form area
Cohen, L., & Dehaene, S. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.12.049 · Cited by 776
Bentin, S., Mouchetant-Rostaing, Y., Giard, M. H., Echallier, J. F., & Pernier, J. (1999) · Journal of Cognitive Neuroscience · doi:10.1162/089892999563373 · Cited by 725
Metadata
- Authors
- Petersen, S. E., & Fiez, J. A.
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 1993-03
- Volume
- 16
- Issue
- 1
- Pages
- 509-530
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- OpenAlex
- W2129968849
- Cited by
- 317
- References
- 6
- FWCI
- 15.26
- Type
- journal article
- Language
- en
- Open access
- closed
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