Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients
In the dual-route language model, the dorsal pathway is known for sound-to-motor mapping, but the role of the ventral stream is controversial. With the goal of enhancing our understanding of language models, this study investigated the diffusion characteristics of candidate tracts in aphasic patient...
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Language: | English |
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Frontiers Media S.A.
2018-02-01
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Series: | Frontiers in Neurology |
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Online Access: | http://journal.frontiersin.org/article/10.3389/fneur.2018.00089/full |
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author | Jie Zhang Jie Zhang Xuehu Wei Sangma Xie Zhen Zhou Desheng Shang Renjie Ji Yamei Yu Fangping He Yue Du Xiangming Ye Benyan Luo |
author_facet | Jie Zhang Jie Zhang Xuehu Wei Sangma Xie Zhen Zhou Desheng Shang Renjie Ji Yamei Yu Fangping He Yue Du Xiangming Ye Benyan Luo |
author_sort | Jie Zhang |
collection | DOAJ |
description | In the dual-route language model, the dorsal pathway is known for sound-to-motor mapping, but the role of the ventral stream is controversial. With the goal of enhancing our understanding of language models, this study investigated the diffusion characteristics of candidate tracts in aphasic patients. We evaluated 14 subacute aphasic patients post-stroke and 11 healthy controls with language assessment and diffusion magnetic resonance imaging. Voxel-based lesion-symptom mapping found multiple linguistic associations for the ventral stream, while automated fiber quantification (AFQ) showed, via reduced fractional anisotropy (FA) and axial diffusivity with increased radial diffusivity (all corrected p < 0.05), that the integrity of both the left dorsal and ventral streams was compromised. The average diffusion metrics of each fascicle provided by AFQ also confirmed that voxels with significant FA-language correlations were located in the ventral tracts, including the left inferior fronto-occipital fascicle (IFOF) (comprehension: r = 0.839, p = 0.001; repetition: r = 0.845, p = 0.001; naming: r = 0.813, p = 0.002; aphasia quotient: r = 0.847, p = 0.001) and uncinate fascicle (naming: r = 0.948, p = 0.001). Furthermore, point-wise AFQ revealed that the segment of the left IFOF with the strongest correlations was its narrow stem. The temporal segment of the left inferior longitudinal fascicle was also found to correlate significantly with comprehension (r = 0.663, p = 0.03) and repetition (r = 0.742, p = 0.009). This preliminary study suggests that white matter integrity analysis of the ventral stream may have the potential to reveal aphasic severity and guide individualized rehabilitation. The left IFOF, specifically its narrow stem segment, associates with multiple aspects of language, indicating an important role in semantic processing and multimodal linguistic functions. |
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issn | 1664-2295 |
language | English |
last_indexed | 2024-12-10T03:47:10Z |
publishDate | 2018-02-01 |
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spelling | doaj.art-c2003e7a1d824a2283fad12fed54052e2022-12-22T02:03:23ZengFrontiers Media S.A.Frontiers in Neurology1664-22952018-02-01910.3389/fneur.2018.00089334584Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic PatientsJie Zhang0Jie Zhang1Xuehu Wei2Sangma Xie3Zhen Zhou4Desheng Shang5Renjie Ji6Yamei Yu7Fangping He8Yue Du9Xiangming Ye10Benyan Luo11Department of Rehabilitation Medicine, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, ChinaDepartment of Neurology and Brain Medical Centre, The First Affiliated Hospital, Zhejiang University, Hangzhou, ChinaKey Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, ChinaCollege of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, ChinaDepartment of Computer Science, Zhejiang University, Hangzhou, ChinaDepartment of Radiology, The First Affiliated Hospital, Zhejiang University, Hangzhou, ChinaDepartment of Neurology and Brain Medical Centre, The First Affiliated Hospital, Zhejiang University, Hangzhou, ChinaDepartment of Neurology and Brain Medical Centre, The First Affiliated Hospital, Zhejiang University, Hangzhou, ChinaDepartment of Neurology and Brain Medical Centre, The First Affiliated Hospital, Zhejiang University, Hangzhou, ChinaSchool of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Rehabilitation Medicine, Zhejiang Provincial People’s Hospital, People’s Hospital of Hangzhou Medical College, Hangzhou, ChinaDepartment of Neurology and Brain Medical Centre, The First Affiliated Hospital, Zhejiang University, Hangzhou, ChinaIn the dual-route language model, the dorsal pathway is known for sound-to-motor mapping, but the role of the ventral stream is controversial. With the goal of enhancing our understanding of language models, this study investigated the diffusion characteristics of candidate tracts in aphasic patients. We evaluated 14 subacute aphasic patients post-stroke and 11 healthy controls with language assessment and diffusion magnetic resonance imaging. Voxel-based lesion-symptom mapping found multiple linguistic associations for the ventral stream, while automated fiber quantification (AFQ) showed, via reduced fractional anisotropy (FA) and axial diffusivity with increased radial diffusivity (all corrected p < 0.05), that the integrity of both the left dorsal and ventral streams was compromised. The average diffusion metrics of each fascicle provided by AFQ also confirmed that voxels with significant FA-language correlations were located in the ventral tracts, including the left inferior fronto-occipital fascicle (IFOF) (comprehension: r = 0.839, p = 0.001; repetition: r = 0.845, p = 0.001; naming: r = 0.813, p = 0.002; aphasia quotient: r = 0.847, p = 0.001) and uncinate fascicle (naming: r = 0.948, p = 0.001). Furthermore, point-wise AFQ revealed that the segment of the left IFOF with the strongest correlations was its narrow stem. The temporal segment of the left inferior longitudinal fascicle was also found to correlate significantly with comprehension (r = 0.663, p = 0.03) and repetition (r = 0.742, p = 0.009). This preliminary study suggests that white matter integrity analysis of the ventral stream may have the potential to reveal aphasic severity and guide individualized rehabilitation. The left IFOF, specifically its narrow stem segment, associates with multiple aspects of language, indicating an important role in semantic processing and multimodal linguistic functions.http://journal.frontiersin.org/article/10.3389/fneur.2018.00089/fullaphasialanguage modelventral pathwaystrokediffusion tensor imaging |
spellingShingle | Jie Zhang Jie Zhang Xuehu Wei Sangma Xie Zhen Zhou Desheng Shang Renjie Ji Yamei Yu Fangping He Yue Du Xiangming Ye Benyan Luo Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients Frontiers in Neurology aphasia language model ventral pathway stroke diffusion tensor imaging |
title | Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients |
title_full | Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients |
title_fullStr | Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients |
title_full_unstemmed | Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients |
title_short | Multifunctional Roles of the Ventral Stream in Language Models: Advanced Segmental Quantification in Post-Stroke Aphasic Patients |
title_sort | multifunctional roles of the ventral stream in language models advanced segmental quantification in post stroke aphasic patients |
topic | aphasia language model ventral pathway stroke diffusion tensor imaging |
url | http://journal.frontiersin.org/article/10.3389/fneur.2018.00089/full |
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