PDF(Pubmed)
Abstract：
UNASSIGNED: Studies have linked auditory hallucinations (AH) in schizophrenia spectrum disorders (SCZ) to altered cerebral white matter microstructure within the language and auditory processing circuitry (LAPC). However, the specificity to the LAPC remains unclear. Here, we investigated the relationship between AH and DTI among patients with SCZ using diffusion tensor imaging (DTI).
UNASSIGNED: We included patients with SCZ with (AH+; n = 59) and without (AH-; n = 81) current AH, and 140 age- and sex-matched controls. Fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were extracted from 39 fiber tracts. We used principal component analysis (PCA) to identify general factors of variation across fiber tracts and DTI metrics. Regression models adjusted for sex, age, and age2 were used to compare tract-wise DTI metrics and PCA factors between AH+, AH-, and healthy controls and to assess associations with clinical characteristics.
UNASSIGNED: Widespread differences relative to controls were observed for MD and RD in patients without current AH. Only limited differences in 2 fiber tracts were observed between AH+ and controls. Unimodal PCA factors based on MD, RD, and AD, as well as multimodal PCA factors, differed significantly relative to controls for AH-, but not AH+. We did not find any significant associations between PCA factors and clinical characteristics.
UNASSIGNED: Contrary to previous studies, DTI metrics differed mainly in patients without current AH compared to controls, indicating a widespread neuroanatomical distribution. This challenges the notion that altered DTI metrics within the LAPC is a specific feature underlying AH.
UNASSIGNED: We included patients with SCZ with (AH+; n = 59) and without (AH-; n = 81) current AH, and 140 age- and sex-matched controls. Fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) were extracted from 39 fiber tracts. We used principal component analysis (PCA) to identify general factors of variation across fiber tracts and DTI metrics. Regression models adjusted for sex, age, and age2 were used to compare tract-wise DTI metrics and PCA factors between AH+, AH-, and healthy controls and to assess associations with clinical characteristics.
UNASSIGNED: Widespread differences relative to controls were observed for MD and RD in patients without current AH. Only limited differences in 2 fiber tracts were observed between AH+ and controls. Unimodal PCA factors based on MD, RD, and AD, as well as multimodal PCA factors, differed significantly relative to controls for AH-, but not AH+. We did not find any significant associations between PCA factors and clinical characteristics.
UNASSIGNED: Contrary to previous studies, DTI metrics differed mainly in patients without current AH compared to controls, indicating a widespread neuroanatomical distribution. This challenges the notion that altered DTI metrics within the LAPC is a specific feature underlying AH.
摘要：
■研究已将精神分裂症谱系障碍（SCZ）中的幻听（AH）与语言和听觉处理电路（LAPC）中大脑白质微结构的改变联系起来。然而,对LAPC的特异性尚不清楚.这里,我们使用弥散张量成像(DTI)研究了SCZ患者中AH与DTI的关系.
■我们纳入了有(AH+;n=59)和无(AH-;n=81)电流AH的SCZ患者，和140个年龄和性别匹配的对照。分数各向异性（FA），平均扩散率（MD），径向扩散系数(RD),从39条纤维束中提取轴向扩散系数（AD）。我们使用主成分分析（PCA）来识别纤维束和DTI指标之间的一般变化因素。根据性别调整的回归模型，年龄,和age2用于比较AH+之间的逐道DTI指标和PCA因子，AH-,和健康对照，并评估与临床特征的关联。
■在没有当前AH的患者中，观察到MD和RD相对于对照组的广泛差异。在AH+和对照之间仅观察到2个纤维束的有限差异。基于MD的单峰PCA因子，RD,AD,以及多模态PCA因素，相对于AH-，但不是AH+。我们没有发现PCA因素和临床特征之间的任何显著关联。
■与以前的研究相反，与对照组相比，没有当前AH的患者的DTI指标主要不同，表明广泛的神经解剖学分布。这挑战了LAPC内改变的DTI度量是AH基础的特定特征的概念。
■我们纳入了有(AH+;n=59)和无(AH-;n=81)电流AH的SCZ患者，和140个年龄和性别匹配的对照。分数各向异性（FA），平均扩散率（MD），径向扩散系数(RD),从39条纤维束中提取轴向扩散系数（AD）。我们使用主成分分析（PCA）来识别纤维束和DTI指标之间的一般变化因素。根据性别调整的回归模型，年龄,和age2用于比较AH+之间的逐道DTI指标和PCA因子，AH-,和健康对照，并评估与临床特征的关联。
■在没有当前AH的患者中，观察到MD和RD相对于对照组的广泛差异。在AH+和对照之间仅观察到2个纤维束的有限差异。基于MD的单峰PCA因子，RD,AD,以及多模态PCA因素，相对于AH-，但不是AH+。我们没有发现PCA因素和临床特征之间的任何显著关联。
■与以前的研究相反，与对照组相比，没有当前AH的患者的DTI指标主要不同，表明广泛的神经解剖学分布。这挑战了LAPC内改变的DTI度量是AH基础的特定特征的概念。
