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Transcranial brain atlas

We introduce here the concept of a transcranial brain atlas (TBA), a new kind of brain atlas specialized for transcranial techniques. A TBA is a probabilistic mapping from scalp space to atlas label space, relating scalp locations to anatomical, functional, network, genetic, or other labels. TBAs of...

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Detalles Bibliográficos
Autores principales: Xiao, Xiang, Yu, Xiaoting, Zhang, Zong, Zhao, Yang, Jiang, Yihan, Li, Zheng, Yang, Yihong, Zhu, Chaozhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124906/
https://www.ncbi.nlm.nih.gov/pubmed/30191174
http://dx.doi.org/10.1126/sciadv.aar6904
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author Xiao, Xiang
Yu, Xiaoting
Zhang, Zong
Zhao, Yang
Jiang, Yihan
Li, Zheng
Yang, Yihong
Zhu, Chaozhe
author_facet Xiao, Xiang
Yu, Xiaoting
Zhang, Zong
Zhao, Yang
Jiang, Yihan
Li, Zheng
Yang, Yihong
Zhu, Chaozhe
author_sort Xiao, Xiang
collection PubMed
description We introduce here the concept of a transcranial brain atlas (TBA), a new kind of brain atlas specialized for transcranial techniques. A TBA is a probabilistic mapping from scalp space to atlas label space, relating scalp locations to anatomical, functional, network, genetic, or other labels. TBAs offer a new way to integrate and present structural and functional organization of the brain and allow previously subsurface and invisible atlas labels visible on the scalp surface to accurately guide the placement of transcranial devices directly on the scalp surface in a straightforward, visual manner. We present here a framework for building TBAs that includes (i) a new, continuous proportional coordinate system devised for the scalp surface to allow standardized specification of scalp positions; (ii) a high-resolution, large sample–based (114-participant) mapping from scalp space to brain space to accurately and reliably describe human cranio-cortical correspondence; and (iii) a two-step Markov chain to combine the probabilistic scalp-brain mapping with a traditional brain atlas, bringing atlas labels to the scalp surface. We assessed the reproducibility (consistency of TBAs generated from different groups) and predictiveness (prediction accuracy of labels for individuals without brain images) of the TBAs built via our framework. Moreover, we present an application of TBAs to a functional near-infrared spectroscopy finger-tapping experiment, illustrating the utility and benefits of TBAs in transcranial studies. Our results demonstrate that TBAs can support ongoing efforts to map the human brain using transcranial techniques, just as traditional brain atlases have supported magnetic resonance imaging and positron emission tomography studies.
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spelling pubmed-61249062018-09-06 Transcranial brain atlas Xiao, Xiang Yu, Xiaoting Zhang, Zong Zhao, Yang Jiang, Yihan Li, Zheng Yang, Yihong Zhu, Chaozhe Sci Adv Research Articles We introduce here the concept of a transcranial brain atlas (TBA), a new kind of brain atlas specialized for transcranial techniques. A TBA is a probabilistic mapping from scalp space to atlas label space, relating scalp locations to anatomical, functional, network, genetic, or other labels. TBAs offer a new way to integrate and present structural and functional organization of the brain and allow previously subsurface and invisible atlas labels visible on the scalp surface to accurately guide the placement of transcranial devices directly on the scalp surface in a straightforward, visual manner. We present here a framework for building TBAs that includes (i) a new, continuous proportional coordinate system devised for the scalp surface to allow standardized specification of scalp positions; (ii) a high-resolution, large sample–based (114-participant) mapping from scalp space to brain space to accurately and reliably describe human cranio-cortical correspondence; and (iii) a two-step Markov chain to combine the probabilistic scalp-brain mapping with a traditional brain atlas, bringing atlas labels to the scalp surface. We assessed the reproducibility (consistency of TBAs generated from different groups) and predictiveness (prediction accuracy of labels for individuals without brain images) of the TBAs built via our framework. Moreover, we present an application of TBAs to a functional near-infrared spectroscopy finger-tapping experiment, illustrating the utility and benefits of TBAs in transcranial studies. Our results demonstrate that TBAs can support ongoing efforts to map the human brain using transcranial techniques, just as traditional brain atlases have supported magnetic resonance imaging and positron emission tomography studies. American Association for the Advancement of Science 2018-09-05 /pmc/articles/PMC6124906/ /pubmed/30191174 http://dx.doi.org/10.1126/sciadv.aar6904 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Xiao, Xiang
Yu, Xiaoting
Zhang, Zong
Zhao, Yang
Jiang, Yihan
Li, Zheng
Yang, Yihong
Zhu, Chaozhe
Transcranial brain atlas
title Transcranial brain atlas
title_full Transcranial brain atlas
title_fullStr Transcranial brain atlas
title_full_unstemmed Transcranial brain atlas
title_short Transcranial brain atlas
title_sort transcranial brain atlas
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124906/
https://www.ncbi.nlm.nih.gov/pubmed/30191174
http://dx.doi.org/10.1126/sciadv.aar6904
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