首页> 外文期刊>Human brain mapping >A functional near‐infrared spectroscopic investigation of speech production during reading
【24h】

A functional near‐infrared spectroscopic investigation of speech production during reading

机译:阅读期间语音生产的功能近红外光谱调查

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Abstract This study was designed to test the extent to which speaking processes related to articulation and voicing influence Functional Near Infrared Spectroscopy (fNIRS) measures of cortical hemodynamics and functional connectivity. Participants read passages in three conditions (oral reading, silent mouthing, and silent reading) while undergoing fNIRS imaging. Area under the curve (AUC) analyses of the oxygenated and deoxygenated hemodynamic response function concentration values were compared for each task across five regions of interest. There were significant region main effects for both oxy and deoxy AUC analyses, and a significant region × task interaction for deoxy AUC favoring the oral reading condition over the silent reading condition for two nonmotor regions. Assessment of functional connectivity using Granger Causality revealed stronger networks between motor areas during oral reading and stronger networks between language areas during silent reading. There was no evidence that the hemodynamic flow from motor areas during oral reading compromised measures of language‐related neural activity in nonmotor areas. However, speech movements had small, but measurable effects on fNIRS measures of neural connections between motor and nonmotor brain areas across the perisylvian region, even after wavelet filtering. Therefore, researchers studying speech processes with fNIRS should use wavelet filtering during preprocessing to reduce speech motion artifacts, incorporate a nonspeech communication or language control task into the research design, and conduct a connectivity analysis to adequately assess the impact of functional speech on the hemodynamic response across the perisylvian region.
机译:摘要本研究旨在测试与铰接和发出函数近红外光谱(Fnirs)测量的讲话过程的讲话过程的程度如何测试皮质血流动力学和功能连通性。参与者在接受Fnirs成像的同时阅读三个条件(口头阅读,沉默口感和沉默阅读)的段落。将氧化和脱氧血流动力学响应函数浓度值的曲线(AUC)分析的区域进行比较,每个任务都跨越了五个感兴趣区域。氧气和脱氧AUC分析的显着区域主要效果,以及对脱氧AUC的显着区域×任务相互作用,对两个非等地区的静音读数状况有利的脱氧AUC。使用GRANGER因果关系评估功能连接在静音阅读期间在语言区域之间的口语读取和更强的网络之间揭示了电机区域之间的更强的网络。没有证据表明在非洲地区口服读取电机区域的血液动力学流动损害了非等地区语言相关神经活动的措施。然而,即使在小波滤波之后,语音运动对Perisylvian区域的电动机和非热脑区域之间的神经连接措施的衡量措施具有很小的影响。因此,使用FNIR学习语音过程的研究人员应该在预处理期间使用小波滤波以减少语音运动伪影,将非诊断通信或语言控制任务结合到研究设计中,并进行连接分析以充分评估功能语音对血流动力学反应的影响穿过恐慌区。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号