Stroke cases with apraxia of speech due to damage to the left frontal aslant tract

Abstract We encountered two acute stroke cases with apraxia of speech (AOS) due to left internal border‐zone infarction. Neither case had a lower precentral gyrus lesion in the left frontal lobe. The findings obtained confirmed the relationship between AOS with improvement and damage to the left frontal aslant tract (FAT) in stroke. FAT integrity has potential as a prognostic imaging biomarker of AOS. It is important to visualize the fiber connections of white matter using diffusion tensor tractography, which will predict the outcome of AOS.

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Publication Details

Journal
Neurology and Clinical Neuroscience
Published
2024-08-09
DOI
https://doi.org/10.1111/ncn3.12849
Citations
3
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.21
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article

Stroke cases with apraxia of speech due to damage to the left frontal aslant tract

Masahiko Yamamoto, Hiroyasu Yamamoto, Masaharu Sawaki, Kenji Furukawa et al.
3 citations
Neurology and Clinical Neuroscience
Advanced Neuroimaging Techniques and Applications
1.21
article

Stroke cases with apraxia of speech due to damage to the left frontal aslant tract

Masahiko Yamamoto, Hiroyasu Yamamoto, Masaharu Sawaki, Kenji Furukawa, Takahiro Yamauchi
article en
3 citations

Abstract

Abstract We encountered two acute stroke cases with apraxia of speech (AOS) due to left internal border‐zone infarction. Neither case had a lower precentral gyrus lesion in the left frontal lobe. The findings obtained confirmed the relationship between AOS with improvement and damage to the left frontal aslant tract (FAT) in stroke. FAT integrity has potential as a prognostic imaging biomarker of AOS. It is important to visualize the fiber connections of white matter using diffusion tensor tractography, which will predict the outcome of AOS.

Neurology and Clinical NeuroscienceVol. 13(1)
Aichi Gakuin University (JP), Nagoya University Hospital (JP)
Openalex Percentile: Top 21%
Advanced Neuroimaging Techniques and Applications
1.21
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