Clenching-Related Motion Artifacts in Functional Near-Infrared Spectroscopy in the Auditory Cortex
Clenching-Related Motion Artifacts in Functional Near-Infrared Spectroscopy in the Auditory Cortex
复制标题
听觉皮层功能性近红外光谱中与紧握相关的运动伪影
DOI:
10.1109/embc48229.2022.9870940
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Yuan, Han
中科院分区:
文献类型:
--
作者:
Zhang, Fan;Reid, Adaira;Schroeder, Alissa;Cutter, Mallory;Kim, Kaitlyn;Ding, Lei;Yuan, Han
Functional near-infrared spectroscopy (fNIRS), a non-invasive optical neuroimaging technique, has demonstrated its great potential in monitoring cerebral activity as an alternative to functional magnetic resonance imaging (fMRI) in research and clinical usage. fNIRS has seen increasing applications in studying the auditory cortex in healthy subjects and cochlear implant users. However, fNIRS is susceptible to motion artifacts, especially those related to jaw movement, which can affect fNIRS signals in speech and auditory tasks. This study aimed to investigate the motion artifacts related to jaw movements including clenching, speaking, swallowing, and sniffing in a group of human subjects, and test whether our previously established denoising algorithm namely PCA-GLM can reduce the motion artifacts. Our results have shown that the jaw movements introduced artifacts that resemble task-evoked activations and that the PCA-GLM method effectively reduced the motion artifacts due to the clenching movements. The preliminary results of the present study underline the importance of the removal of the jaw-movement-related artifacts in fNIRS signals and suggest the efficacy of our PCA-GLM method in reducing the motion artifacts. Clinical Relevance— This work studies the motion artifacts due to jaw movements that frequently occur in speech perception and production tasks and validates the efficacy of an established denoising algorithm which benefits fNIRS studies on auditory and language functions.
DOI:
--
发表时间:
2010
期刊:
影响因子:
--
作者:
相田知海;田中光一
通讯作者:
田中光一
影响因子:
3
作者:
Fan Zhang;Daniel Cheong;A. Khan;Yuxuan Chen;L. Ding;Han Yuan
通讯作者:
Fan Zhang;Daniel Cheong;A. Khan;Yuxuan Chen;L. Ding;Han Yuan
影响因子:
2.9
作者:
Schecklmann M;Mann A;Langguth B;Ehlis AC;Fallgatter AJ;Haeussinger FB
通讯作者:
Haeussinger FB