دورية أكاديمية
Improving a probabilistic cytoarchitectonic atlas of auditory cortex using a novel method for inter-individual alignment
العنوان: | Improving a probabilistic cytoarchitectonic atlas of auditory cortex using a novel method for inter-individual alignment |
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المؤلفون: | Omer Faruk Gulban, Rainer Goebel, Michelle Moerel, Daniel Zachlod, Hartmut Mohlberg, Katrin Amunts, Federico de Martino |
المصدر: | eLife, Vol 9 (2020) |
بيانات النشر: | eLife Sciences Publications Ltd, 2020. |
سنة النشر: | 2020 |
المجموعة: | LCC:Medicine LCC:Science LCC:Biology (General) |
مصطلحات موضوعية: | MRI, auditory, brain, cortex, cytoarchitecture, in vivo, Medicine, Science, Biology (General), QH301-705.5 |
الوصف: | The human superior temporal plane, the site of the auditory cortex, displays high inter-individual macro-anatomical variation. This questions the validity of curvature-based alignment (CBA) methods for in vivo imaging data. Here, we have addressed this issue by developing CBA+, which is a cortical surface registration method that uses prior macro-anatomical knowledge. We validate this method by using cytoarchitectonic areas on 10 individual brains (which we make publicly available). Compared to volumetric and standard surface registration, CBA+ results in a more accurate cytoarchitectonic auditory atlas. The improved correspondence of micro-anatomy following the improved alignment of macro-anatomy validates the superiority of CBA+ compared to CBA. In addition, we use CBA+ to align in vivo and postmortem data. This allows projection of functional and anatomical information collected in vivo onto the cytoarchitectonic areas, which has the potential to contribute to the ongoing debate on the parcellation of the human auditory cortex. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2050-084X |
Relation: | https://elifesciences.org/articles/56963; https://doaj.org/toc/2050-084X |
DOI: | 10.7554/eLife.56963 |
URL الوصول: | https://doaj.org/article/da2e007aad9d435faee1577185902e7b |
رقم الأكسشن: | edsdoj.2e007aad9d435faee1577185902e7b |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 2050084X |
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DOI: | 10.7554/eLife.56963 |