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ORIGINAL ARTICLE
MORPHOLOGICAL VARIANCE AND RELATED TAXONOMY OF THE PLANUM TEMPORALE
1
Speech, Language, and Hearing Sciences, The University of Arizona, United States
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article;
Submission date: 2020-05-22
Final revision date: 2020-08-10
Acceptance date: 2020-10-16
Publication date: 2020-12-31
Corresponding author
Bryan M. Wong
Speech, Language, and Hearing Sciences, The University of Arizona, 1131 E. 2nd St., 85721, Tucson, United States
Speech, Language, and Hearing Sciences, The University of Arizona, 1131 E. 2nd St., 85721, Tucson, United States
J Hear Sci 2020;10(4):9-19
KEYWORDS
TOPICS
ABSTRACT
Background:
The planum temporale (PT) is well known for its classic “pie-shaped” morphology. The aim of this study is to create a taxonomy of PT morphological features to improve its sometimes difficult identification and differentiation from surrounding structures.
Material and methods:
A total of 50 normal, high-resolution T1-weighted brain MRIs (100 hemispheres) were obtained from the Open Access Series of Imaging Studies (OASIS) repository. Ages ranged from 18 to 57 years.
Methods:
A 3D cortical surface mesh (grey matter) was generated using neuroimaging software. The PT was isolated based on pre-defined criteria and stratified into different classifications. Quantitative measurements were also taken.
Results:
A total of four PT configurations were identified: (1) Pie-shaped [45%], 508.8 mm2; (2) Trapezoid-shaped [27%], 540.4 mm2, (3) Rectangular-shaped [19%], 477.7 mm2; and (4) Amorphous/none [9%], not calculable. The trapezoid-shaped PT category occurred significantly more often in females.
Conclusions:
The proposed classification is the first step in creating a comprehensive.
The planum temporale (PT) is well known for its classic “pie-shaped” morphology. The aim of this study is to create a taxonomy of PT morphological features to improve its sometimes difficult identification and differentiation from surrounding structures.
Material and methods:
A total of 50 normal, high-resolution T1-weighted brain MRIs (100 hemispheres) were obtained from the Open Access Series of Imaging Studies (OASIS) repository. Ages ranged from 18 to 57 years.
Methods:
A 3D cortical surface mesh (grey matter) was generated using neuroimaging software. The PT was isolated based on pre-defined criteria and stratified into different classifications. Quantitative measurements were also taken.
Results:
A total of four PT configurations were identified: (1) Pie-shaped [45%], 508.8 mm2; (2) Trapezoid-shaped [27%], 540.4 mm2, (3) Rectangular-shaped [19%], 477.7 mm2; and (4) Amorphous/none [9%], not calculable. The trapezoid-shaped PT category occurred significantly more often in females.
Conclusions:
The proposed classification is the first step in creating a comprehensive.
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