The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Quantifying Variability in the Planum Temporale: A Probability Map
Abstract
The acquisition of definitive evidence for systematic hemispheric asymmetries in the size of the planum temporale (PT) has been restricted by difficulties in identifying, standardizing and measuring the region of interest. In this paper an operational definition for identifying the problematic posterior border of the PT on magnetic resonance imaging (MRI) scans is proposed. An interactive voxel-painting program was used to identify and label the PT simultaneously in horizontal, sagittal and coronal planes in MRI scans, transformed into the standardized Talairach-Tournoux stereo-taxic space, from 50 normal right-handed volunteers. Both grey matter volume and cortical surface area of the PT were measured, while controlling for individual variation in overall brain shape and volume. The labeled tissue was averaged together to produce a probability map in standardized space of the region of interest. The PT region is highly variable, with no single voxel being labeled with a probability of >65%. In this study there were no significant hemispheric differences in volume or area of the PT. An asymmetry in area and volume was introduced by using an alternative method - the 'knife-cut' method - for identifying the posterior border. Implications for functional neuroimaging of the PT are discussed.
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Cites
Human Brain: Left-Right Asymmetries in Temporal Speech Region
Geschwind, N., & Levitsky, W. (1968) · Science · doi:10.1126/science.161.3837.186 · Cited by 2,225
Sex differences in human brain asymmetry: a critical survey
McGlone, J. (1980) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00004398 · Cited by 1,336
Neurobiological Basis of Speech: A Case for the Preeminence of Temporal Processing
TALLAL, P., MILLER, S., & FITCH, R. H. (1993) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1993.tb22957.x · Cited by 933
Cerebral Hemispheric Asymmetry in Humans: Cortical Speech Zones in 100 Adult and 100 Infant Brains
Wada, J. A. (1975) · Archives of Neurology · doi:10.1001/archneur.1975.00490460055007 · Cited by 917
Galaburda, A. M., LeMay, M., Kemper, T. L., & Geschwind, N. (1978) · Science · doi:10.1126/science.341314 · Cited by 856
小野, 道., Kubik, S., & Abernathey, C. D. (1990) · Medical Entomology and Zoology · Cited by 844
LEFT HEMISPHERE SPECIALIZATION FOR LANGUAGE IN THE NEWBORN: NEUROANATOMICAL EVIDENCE OF ASYMMETRY
WITELSON, S. F., & PALLIE, W. (1973) · Brain · doi:10.1093/brain/96.3.641 · Cited by 750
Penhune, V. B., Zatorre, R. J., MacDonald, J. D., & Evans, A. C. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.5.661 · Cited by 620
Rademacher, J., Caviness, V. S., Steinmetz, H., & Galaburda, A. M. (1993) · Cerebral Cortex · doi:10.1093/cercor/3.4.313 · Cited by 612
Human Brain: Cytoarchitectonic Left-Right Asymmetries in the Temporal Speech Region
Galaburda, A. M. (1978) · Archives of Neurology · doi:10.1001/archneur.1978.00500360036007 · Cited by 509
Cited by
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
The Human Connectome: A Structural Description of the Human Brain
Sporns, O., Tononi, G., & Kötter, R. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010042 · Cited by 3,260
Stevens' Handbook of Experimental Psychology
(2002) · Wiley eBooks · doi:10.1002/0471214426 · Cited by 1,632
Gong, G., He, Y., Concha, L., Lebel, C., Gross, D. W., Evans, A. C., & Beaulieu, C. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn102 · Cited by 1,112
Listening to Musical Rhythms Recruits Motor Regions of the Brain
Chen, J. L., Penhune, V. B., & Zatorre, R. J. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn042 · Cited by 787
Metadata
- Authors
- Westbury, C. F.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-06-01
- Volume
- 9
- Issue
- 4
- Pages
- 392-405
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2003831991
- Cited by
- 275
- References
- 40
- FWCI
- 8.02
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.