Lee Jin-Kook, Ko Myoung-Hwan, Park Sung-Hee, Kim Gi-Wook
Department of Physical Medicine & Rehabilitation, Jeonbuk National University Medical School, Jeonju 54907, Korea.
Department of Speech-Language Therapy, The Graduate School, Jeonbuk National University, Jeonju 54907, Korea.
Brain Sci. 2021 Feb 27;11(3):304. doi: 10.3390/brainsci11030304.
This study classified the severity of aphasia through the Western Aphasia Battery and determined the optimal cut-off value for each Language-Related White Matter fiber and their combinations, we further examined the correlations between Language-Related White Matter and Western Aphasia Battery subscores. This retrospective study recruited 64 patients with aphasia. Mild/moderate and severe aphasia were classified according to cut-off Aphasia Quotient score of 51 points. Diffusion tensor imaging and fractional anisotropy reconstructed Language-Related White Matter in multiple fasciculi. We determined the area under the covariate-adjusted receiver operating characteristic curve to evaluate the accuracy of predicting aphasia severity. The optimal fractional-anisotropy cut-off values for the individual fibers of the Language-Related White Matter and their combinations were determined. Their correlations with Western Aphasia Battery subscores were analyzed. The arcuate and superior longitudinal fasciculi showed fair accuracy, the inferior frontal occipital fasciculus poor accuracy, and their combinations fair accuracy. Correlations between Language-Related White Matter parameters and Western Aphasia Battery subscores were found between the arcuate, superior longitudinal, and inferior frontal occipital fasciculi and spontaneous speech, auditory verbal comprehension, repetition, and naming. Diffusion-tensor-imaging-based language-Related White Matter analysis may help predict the severity of language impairment in patients with aphasia following stroke.
本研究通过西方失语成套测验对失语严重程度进行分类，并确定每种语言相关白质纤维及其组合的最佳截断值，我们进一步研究了语言相关白质与西方失语成套测验子分数之间的相关性。这项回顾性研究招募了64名失语症患者。根据失语商数得分51分的截断值将轻度/中度和重度失语进行分类。扩散张量成像和分数各向异性重建了多个束中的语言相关白质。我们确定协变量调整后的受试者工作特征曲线下面积，以评估预测失语严重程度的准确性。确定了语言相关白质各纤维及其组合的最佳分数各向异性截断值。分析了它们与西方失语成套测验子分数的相关性。弓状束和上纵束显示出较好的准确性，额枕下束准确性较差，它们的组合显示出较好的准确性。在弓状束、上纵束和额枕下束与自发言语、听觉言语理解、复述和命名之间发现了语言相关白质参数与西方失语成套测验子分数之间的相关性。基于扩散张量成像的语言相关白质分析可能有助于预测中风后失语症患者的语言障碍严重程度。
