Literature DB >> 20438854

Tonic and phasic EEG and behavioral changes induced by arousing feedback.

Chin-Teng Lin1, Kuan-Chih Huang, Chih-Feng Chao, Jian-Ann Chen, Tzai-Wen Chiu, Li-Wei Ko, Tzyy-Ping Jung.   

Abstract

This study investigates brain dynamics and behavioral changes in response to arousing auditory signals presented to individuals experiencing momentary cognitive lapses during a sustained-attention task. Electroencephalographic (EEG) and behavioral data were simultaneously collected during virtual-reality (VR) based driving experiments, in which subjects were instructed to maintain their cruising position and compensate for randomly induced lane deviations using the steering wheel. 30-channel EEG data were analyzed by independent component analysis and the short-time Fourier transform. Across subjects and sessions, intermittent performance during drowsiness was accompanied by characteristic spectral augmentation or suppression in the alpha- and theta-band spectra of a bilateral occipital component, corresponding to brief periods of normal (wakeful) and hypnagogic (sleeping) awareness and behavior. Arousing auditory feedback was delivered to the subjects in half of the non-responded lane-deviation events, which immediately agitated subject's responses to the events. The improved behavioral performance was accompanied by concurrent spectral suppression in the theta- and alpha-bands of the bilateral occipital component. The effects of auditory feedback on spectral changes lasted 30s or longer. The results of this study demonstrate the amount of cognitive state information that can be extracted from noninvasively recorded EEG data and the feasibility of online assessment and rectification of brain networks exhibiting characteristic dynamic patterns in response to momentary cognitive challenges. Copyright (c) 2010 Elsevier Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 20438854     DOI: 10.1016/j.neuroimage.2010.04.250

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  18 in total

1.  EEG classification of driver mental states by deep learning.

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Journal:  Cogn Neurodyn       Date:  2018-07-18       Impact factor: 5.082

2.  A Pilot Study on EEG-Based Evaluation of Visually Induced Motion Sickness.

Authors:  Ran Liu; Miao Xu; Yanzhen Zhang; Eli Peli; Alex D Hwang
Journal:  J Imaging Sci Technol       Date:  2020-01-31       Impact factor: 0.400

3.  Losing the struggle to stay awake: divergent thalamic and cortical activity during microsleeps.

Authors:  Govinda R Poudel; Carrie R H Innes; Philip J Bones; Richard Watts; Richard D Jones
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4.  Modeling brain dynamic state changes with adaptive mixture independent component analysis.

Authors:  Sheng-Hsiou Hsu; Luca Pion-Tonachini; Jason Palmer; Makoto Miyakoshi; Scott Makeig; Tzyy-Ping Jung
Journal:  Neuroimage       Date:  2018-08-04       Impact factor: 6.556

5.  Spatial and temporal EEG dynamics of dual-task driving performance.

Authors:  Chin-Teng Lin; Shi-An Chen; Tien-Ting Chiu; Hong-Zhang Lin; Li-Wei Ko
Journal:  J Neuroeng Rehabil       Date:  2011-02-18       Impact factor: 4.262

6.  A collaborative brain-computer interface for improving human performance.

Authors:  Yijun Wang; Tzyy-Ping Jung
Journal:  PLoS One       Date:  2011-05-31       Impact factor: 3.240

7.  Developing an EEG-based on-line closed-loop lapse detection and mitigation system.

Authors:  Yu-Te Wang; Kuan-Chih Huang; Chun-Shu Wei; Teng-Yi Huang; Li-Wei Ko; Chin-Teng Lin; Chung-Kuan Cheng; Tzyy-Ping Jung
Journal:  Front Neurosci       Date:  2014-10-13       Impact factor: 4.677

8.  Novel measure of driver and vehicle interaction demonstrates transient changes related to alerting.

Authors:  Justin R Brooks; Scott E Kerick; Kaleb McDowell
Journal:  J Mot Behav       Date:  2014-10-30       Impact factor: 1.328

9.  Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data.

Authors:  Sangtae Ahn; Thien Nguyen; Hyojung Jang; Jae G Kim; Sung C Jun
Journal:  Front Hum Neurosci       Date:  2016-05-13       Impact factor: 3.169

10.  Estimating endogenous changes in task performance from EEG.

Authors:  Jon Touryan; Gregory Apker; Brent J Lance; Scott E Kerick; Anthony J Ries; Kaleb McDowell
Journal:  Front Neurosci       Date:  2014-06-13       Impact factor: 4.677

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