Weighted Blind Source Separation Can Decompose the Frequency Mismatch Response by Deviant Concatenation: An MEG Study.
Weighted Blind Source Separation Can Decompose the Frequency Mismatch Response by Deviant Concatenation: An MEG Study.
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DOI：
10.3389/fneur.2022.762497
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发表时间：
2022
影响因子：
3.4
通讯作者：
Kishida K
中科院分区：
文献类型：
--
作者：
Matsubara T;Stufflebeam S;Khan S;Ahveninen J;Hämäläinen M;Goto Y;Maekawa T;Tobimatsu S;Kishida K
错配反应（MMR）被认为是一种新型听觉检测的神经生理学指标，可以作为各种神经系统疾病的翻译生物标志物。当用脑电图（EEG）或脑磁图（MEG）记录时，MMR通常是通过减去事件相关电位/场（ERP/ERF）来提取的，这些电位/场是由一系列重复的“标准”声音中随机出现的“异常”声音引起的。然而，这种减法有几个问题，包括增加的噪声和神经适应问题。根据MMR的原始理论（即记忆比较过程），MMR应该只存在于异常时期。因此，我们提出了一种新的方法，称为加权bsst /k，它只使用偏差响应来推导MMR。偏差拼接和权值分配是加权bsst /k的主要步骤，可以最大限度地发挥时滞相关的优势。我们假设这种新的加权bsst /k方法突出了与检测异常刺激相关的反应，并且比独立成分分析（ICA）更敏感。为了验证这一假设以及加权bsst /k与ICA （informax）的有效性和有效性，我们对12名健康成人进行了评估。听觉刺激以2赫兹的恒定频率呈现。基于时空聚类排列分析，在96-276 ms （MMR时间范围）范围内，采用减法方法从双侧颞叶获得传感器水平的频率MMR。在加权bsst /k的应用中，偏差响应在MMR时间范围内使用矩形窗口给予恒定权值。由加权偏差响应引起的ERF表明，一个或几个主导分量代表MMR，与使用传统减法方法的传感器空间分析的结果很好地拟合。相比之下，infomax或加权infomax显示了许多次要或伪成分作为MMR的成分。我们的单试验、无对比的方法可能有助于MMR在基础和临床研究中的应用，并为分析事件相关的MEG/EEG数据开辟了一种新的、潜在的有用方法。
The mismatch response (MMR) is thought to be a neurophysiological measure of novel auditory detection that could serve as a translational biomarker of various neurological diseases. When recorded with electroencephalography (EEG) or magnetoencephalography (MEG), the MMR is traditionally extracted by subtracting the event-related potential/field (ERP/ERF) elicited in response to “deviant” sounds that occur randomly within a train of repetitive “standard” sounds. However, there are several problems with such a subtraction, which include increased noise and the neural adaptation problem. On the basis of the original theory underlying MMR (i.e., the memory-comparison process), the MMR should be present only in deviant epochs. Therefore, we proposed a novel method called weighted-BSST/k, which uses only the deviant response to derive the MMR. Deviant concatenation and weight assignment are the primary procedures of weighted-BSST/k, which maximize the benefits of time-delayed correlation. We hypothesized that this novel weighted-BSST/k method highlights responses related to the detection of the deviant stimulus and is more sensitive than independent component analysis (ICA). To test this hypothesis and the validity and efficacy of the weighted-BSST/k in comparison with ICA (infomax), we evaluated the methods in 12 healthy adults. Auditory stimuli were presented at a constant rate of 2 Hz. Frequency MMRs at a sensor level were obtained from the bilateral temporal lobes with the subtraction approach at 96–276 ms (the MMR time range), defined based on spatio-temporal cluster permutation analysis. In the application of the weighted-BSST/k, the deviant responses were given a constant weight using a rectangular window on the MMR time range. The ERF elicited by the weighted deviant responses demonstrated one or a few dominant components representing the MMR that fitted well with that of the sensor space analysis using the conventional subtraction approach. In contrast, infomax or weighted-infomax revealed many minor or pseudo components as constituents of the MMR. Our single-trial, contrast-free approach may assist in using the MMR in basic and clinical research, and it opens a new and potentially useful way to analyze event-related MEG/EEG data.
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影响因子：
3.7
作者：
Jacobsen, T;Schröger, E
通讯作者：
Schröger, E
影响因子：
2.4
作者：
Kishida, Kuniharu
通讯作者：
Kishida, Kuniharu
DOI：
10.1016/j.clinph.2008.11.029
发表时间：
2009-03
期刊：
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
影响因子：
--
作者：
Garrido MI;Kilner JM;Stephan KE;Friston KJ
通讯作者：
Friston KJ
影响因子：
20.6
作者：
Jung, TP;Makeig, S;Sejnowski, TJ
通讯作者：
Sejnowski, TJ
影响因子：
44.1
作者：
HAMALAINEN, M;HARI, R;LOUNASMAA, OV
通讯作者：
LOUNASMAA, OV