Biomarkers of attention bias during public speaking anxiety

Q2 Mathematics
Akmal Razak, Farah Shahnaz Feroz, Siva Kumar Subramaniam, F. Shahbodin, S. Rajkumar
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引用次数: 0

Abstract

The analysis of brain signals and their properties yields significant insights into the fundamental neural impairments associated with attention bias in individuals suffering from public speaking anxiety (PSA). This study aims to identify electroencephalogram (EEG) and performance biomarkers of attention bias in individuals with public speaking anxiety using the ex-Gaussian modeling technique, frontal alpha asymmetry (FAA) and delta-beta correlation (DBC). 12 subjects with high (H) PSA and 12 subjects with low (L) PSA performed the modified emotional stroop task. EEG data were captured using the low-cost 14-channel emotiv Epoc+. Results showed that the ex-Gaussian sigma was higher in the emotional condition in the high public speaking anxiety (HPSA) group, indicating attention bias. The study also found higher right FAA in HPSA compared to LPSA group. There was a negative correlation between σ and alpha power in the left region of the brain in the HPSA group, potentially related to attentional bias. Moreover, there was a notable trend towards significantly heightened DBC in the frontal and central regions of the brain among HPSA subjects. In conclusion, in biomedical engineering, the ex-Gaussian model, FAA and DBC are useful because they can identify EEG and performance biomarkers of attention bias in people with PSA.
公开演讲焦虑时注意力偏差的生物标志物
通过分析大脑信号及其特性,可以深入了解与当众讲话焦虑症(PSA)患者注意力偏差有关的基本神经损伤。本研究旨在利用前高斯建模技术、额叶α不对称(FAA)和δ-β相关性(DBC)来识别当众讲话焦虑症患者的脑电图(EEG)和注意力偏差的表现生物标志物。12 名 PSA 偏高(H)的受试者和 12 名 PSA 偏低(L)的受试者进行了修改后的情绪频闪任务。脑电图数据使用低成本的 14 通道 emotiv Epoc+ 采集。结果显示,在情绪条件下,高公众演讲焦虑(HPSA)组的前高斯西格玛值更高,这表明存在注意力偏差。研究还发现,与 LPSA 组相比,HPSA 组的右 FAA 更高。在 HPSA 组中,大脑左侧区域的 σ 和 α 功率呈负相关,这可能与注意力偏差有关。此外,HPSA 受试者大脑额叶和中央区域的 DBC 有明显增高的趋势。总之,在生物医学工程中,前高斯模型、FAA 和 DBC 是有用的,因为它们可以识别 PSA 患者注意力偏差的脑电图和表现生物标志物。
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来源期刊
CiteScore
2.90
自引率
0.00%
发文量
782
期刊介绍: The aim of Indonesian Journal of Electrical Engineering and Computer Science (formerly TELKOMNIKA Indonesian Journal of Electrical Engineering) is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of electrical engineering. Its scope encompasses the applications of Telecommunication and Information Technology, Applied Computing and Computer, Instrumentation and Control, Electrical (Power), Electronics Engineering and Informatics which covers, but not limited to, the following scope: Signal Processing[...] Electronics[...] Electrical[...] Telecommunication[...] Instrumentation & Control[...] Computing and Informatics[...]
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