Individual-specific characterization of event-related hemodynamic responses during an auditory task: An exploratory study
Individual-specific characterization of event-related hemodynamic responses during an auditory task: An exploratory study
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DOI：
10.1016/j.bbr.2022.114074
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发表时间：
2022-09-07
影响因子：
2.7
通讯作者：
Shahriari，Y.
中科院分区：
文献类型：
--
作者：
McLinden，J.;Borgheai，S. B.;Shahriari，Y.
功能性近红外光谱（fNIRS）已被确立为一个信息的方式来了解血流动力学代谢相关的皮层听觉处理。迄今为止，这些知识已显示出广泛的临床应用，在诊断，治疗和干预程序的障碍影响听觉处理，然而，探索的血流动力学反应的听觉任务尚未完成。这在听觉事件相关fNIRS实验的背景下尤其如此，初步工作表明存在有效的反应，同时需要更全面地探索事件相关听觉处理的血流动力学相关性。在这项研究中，我们采用了一种个体特异性的方法来表征健康成年人在听觉任务期间基于fNIRS的血流动力学变化。氧合血红蛋白（HbO2）浓度变化的时间课程，从八个参与者。然后应用独立成分分析（伊卡）分离出个体特异性类别判别空间滤波器，然后将其应用于HbO2时间进程以提取与糖尿病相关的血流动力学特征。虽然八名参与者中有六名在ICA空间滤波之前产生了显着的类判别特征，但所提出的方法在所有参与者中识别出了显着的听觉血流动力学特征。此外，基于ICA的过滤提高了每个参与者的试验标签和提取的特征之间的相关性。这项研究首次证明了血流动力学特征在探索听觉处理的实验中的重要性，以及在听觉实验中基于fNIRS的特征提取技术中基于个体特定ICA的空间滤波的实用性。这些结果为未来探索听觉血流动力学特征的研究提供了见解，并可能最终为更好地了解临床人群的听觉反应功能障碍提供基线框架。
Functional near-infrared spectroscopy (fNIRS) has been established as an informative modality for understanding the hemodynamic-metabolic correlates of cortical auditory processing. To date, such knowledge has shown broad clinical applications in the diagnosis, treatment, and intervention procedures in disorders affecting auditory processing; however, exploration of the hemodynamic response to auditory tasks is yet incomplete. This holds particularly true in the context of auditory event-related fNIRS experiments, where preliminary work has shown the presence of valid responses while leaving the need for more comprehensive explorations of the hemodynamic correlates of event-related auditory processing. In this study, we apply an individual-specific approach to characterize fNIRS-based hemodynamic changes during an auditory task in healthy adults. Oxygenated hemoglobin (HbO2) concentration change time courses were acquired from eight participants. Independent component analysis (ICA) was then applied to isolate individual-specific class discriminative spatial filters, which were then applied to HbO2time courses to extract auditory-related hemodynamic features. While six of eight participants produced significant class discriminative features before ICA-based spatial filtering, the proposed method identified significant auditory hemodynamic features in all participants. Furthermore, ICA-based filtering improved correlation between trial labels and extracted features in every participant. For the first time, this study demonstrates hemodynamic features important in experiments exploring auditory processing as well as the utility of individual-specific ICA-based spatial filtering in fNIRS-based feature extraction techniques in auditory experiments. These outcomes provide insights for future studies exploring auditory hemodynamic characteristics and may eventually provide a baseline framework for better understanding auditory response dysfunctions in clinical populations.