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Analysis of speech imagery using brain connectivity estimators on consonant-vowel-consonant words

Abstract:
Speech imagery refers to the perceptual experience of uttering speech to oneself without any articulation. In this paper, the neural correlations between brain regions associated with articulated and imagined speech processes of consonant-vowel-consonant (CVC) words are analysed using brain connectivity estimators. EEG coherence, a synchronisation parameter establishes the correlation between several cortical areas. To analyse the causal dependence, partial directed coherence (PDC) and directed transfer function (DTF) estimators are derived from multi-channel EEG data. From inter and intra hemispheric coherences it has been observed that theta, beta and gamma frequencies were dominant and words with same vowel having one consonant common have similar coherence values. Results inferred from intra-hemispheric PDC and DTF parameters show that the frontal and temporal regions of the left hemisphere are more activated for all the given speech imagery tasks. Thus, the analysis provides a significant step in understanding the neural interactions of the brain while thinking and articulating processes.
Author Listing: Chengaiyan Sandhya;Anandan Kavitha
Volume: 30
Pages: 329
DOI: 10.1504/IJBET.2019.10022442
Language: English
Journal: International Journal of Biomedical Engineering and Technology

International Journal of Biomedical Engineering and Technology

INT J BIOMED ENG TEC

影响因子:0.6
是否综述期刊:否
是否OA:否
是否预警:不在预警名单内
发行时间:-
ISSN:1752-6418
发刊频率:-
收录数据库:ESCI/Scopus收录
出版国家/地区:-
出版社:Inderscience Publishers

期刊介绍

年发文量 54
国人发稿量 8
国人发文占比 14.06%
自引率 33.3%
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版面费 -
偏重研究方向 ENGINEERING, BIOMEDICAL-
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100.00% 0.00% - -

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时间 预警情况
2025年03月发布的2025版 不在预警名单中
2024年02月发布的2024版 不在预警名单中
2023年01月发布的2023版 不在预警名单中
2021年12月发布的2021版 不在预警名单中
2020年12月发布的2020版 不在预警名单中

JCR分区 WOS分区等级:Q4区

版本 按学科 分区
WOS期刊SCI分区
(2021-2022年最新版)
ENGINEERING, BIOMEDICAL Q4

中科院分区

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