Department of Neurology, University of California, San Francisco, CA 94158, USA; Faculty of Psychology and Educational Sciences, University of Geneva, Geneva 1205, Switzerland.
Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Neuroimage Clin. 2023;37:103329. doi: 10.1016/j.nicl.2023.103329. Epub 2023 Jan 20.
Primary Progressive Aphasia (PPA) is a neurodegenerative disorder primarily affecting language functions. Neuromodulatory techniques (e.g., transcranial direct current stimulation, active-tDCS) and behavioral (speech-language) therapy have shown promising results in treating speech and language deficits in PPA patients. One mechanism of active-tDCS efficacy is through modulation of network functional connectivity (FC). It remains unknown how biological sex influences FC and active-tDCS or language treatment(s). In the current study, we compared sex differences, induced by active-tDCS and language therapy alone, in the default mode and language networks, acquired during resting-state fMRI in 36 PPA patients. Using a novel statistical method, the covariate-assisted-principal-regression (CAPs) technique, we found sex and age differences in FC changes following active-tDCS. In the default mode network (DMN): (1) men (in both conditions) showed greater FC in DMN than women. (2) men who received active-tDCS showed greater FC in the DMN than men who received language-treatment only. In the language network: (1) women who received active-tDCS showed significantly greater FC across the language network than women who received sham-tDCS. As age increases, regardless of sex and treatment condition, FC in language regions decreases. The current findings suggest active-tDCS treatment in PPA alters network-specific FC in a sex-dependent manner.
原发性进行性失语症(PPA)是一种主要影响语言功能的神经退行性疾病。神经调节技术(例如,经颅直流电刺激,主动 tDCS)和行为(言语语言)疗法已显示出在治疗 PPA 患者的言语和语言缺陷方面的有前途的结果。主动 tDCS 疗效的一种机制是通过调节网络功能连接(FC)。尚不清楚生物性别如何影响 FC 和主动 tDCS 或语言治疗。在当前的研究中,我们比较了单独使用主动 tDCS 和语言治疗在 36 名 PPA 患者静息状态 fMRI 中获得的默认模式和语言网络中的性别差异。使用一种新的统计方法,协变量辅助主回归(CAPs)技术,我们发现了主动 tDCS 后 FC 变化中的性别和年龄差异。在默认模式网络(DMN)中:(1)男性(在两种情况下)的 DMN 中 FC 大于女性。(2)接受主动 tDCS 的男性的 DMN 中 FC 大于仅接受语言治疗的男性。在语言网络中:(1)接受主动 tDCS 的女性的语言网络中的 FC 明显大于接受假 tDCS 的女性。随着年龄的增长,无论性别和治疗条件如何,语言区域的 FC 都会降低。目前的研究结果表明,PPA 中的主动 tDCS 治疗以性别依赖的方式改变了特定于网络的 FC。