EEG Alpha and Gamma Modulators Mediate Motion Sickness-Related Spectral Responses

被引:42
作者
Chuang, Shang-Wen [1 ]
Chuang, Chun-Hsiang [1 ,2 ]
Yu, Yi-Hsin [1 ]
King, Jung-Tai [1 ]
Lin, Chin-Teng [1 ,2 ]
机构
[1] Natl Chiao Tung Univ, Brain Res Ctr, 1001 Ta Hsueh Rd, Hsinchu 30010, Taiwan
[2] Univ Technol Sydney, Fac Engn & Informat Technol, 15 Broadway, Ultimo, NSW 2007, Australia
关键词
EEG; motion sickness; co-modulation; gamma; alpha; sensory conflict theory; THEORETICAL-ANALYSIS; BLIND SEPARATION; NEURAL-NETWORK; BAND ACTIVITY; BRAIN; SYNCHRONIZATION; FREQUENCY; OSCILLATIONS; INTEGRATION; FRACTALITY;
D O I
10.1142/S0129065716500076
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Motion sickness (MS) is a common experience of travelers. To provide insights into brain dynamics associated with MS, this study recruited 19 subjects to participate in an electroencephalogram (EEG) experiment in a virtual-reality driving environment. When riding on consecutive winding roads, subjects experienced postural instability and sensory conflict between visual and vestibular stimuli. Meanwhile, subjects rated their level of MS on a six-point scale. Independent component analysis (ICA) was used to separate the filtered EEG signals into maximally temporally independent components (ICs). Then, reduced logarithmic spectra of ICs of interest, using principal component analysis, were decomposed by ICA again to find spectrally fixed and temporally independent modulators (IMs). Results demonstrated that a higher degree of MS accompanied increased activation of alpha (r = 0.421) and gamma (r = 0.478) IMs across remote-independent brain processes, covering motor, parietal and occipital areas. This co-modulatory spectral change in alpha and gamma bands revealed the neurophysiological demand to regulate conflicts among multi-modal sensory systems during MS.
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收藏
页数:14
相关论文
共 83 条
[51]   EEG-Based Learning System for Online Motion Sickness Level Estimation in a Dynamic Vehicle Environment [J].
Lin, Chin-Teng ;
Tsai, Shu-Fang ;
Ko, Li-Wei .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 24 (10) :1689-1700
[52]   Neural Correlates of Mathematical Problem Solving [J].
Lin, Chun-Ling ;
Jung, Melody ;
Wu, Ying Choon ;
She, Hsiao-Ching ;
Jung, Tzyy-Ping .
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2015, 25 (02)
[53]   Blind separation of auditory event-related brain responses into independent components [J].
Makeig, S ;
Jung, TP ;
Bell, AJ ;
Ghahremani, D ;
Sejnowski, TJ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1997, 94 (20) :10979-10984
[54]  
Makeig S, 1996, ADV NEUR IN, V8, P145
[55]   The dynamics of EEG gamma responses to unpleasant visual stimuli: From local activity to functional connectivity [J].
Martini, Nicola ;
Menicucci, Danilo ;
Sebastiani, Laura ;
Bedini, Remo ;
Pingitore, Alessandro ;
Vanello, Nicola ;
Milanesi, Matteo ;
Landini, Luigi ;
Gemignani, Angelo .
NEUROIMAGE, 2012, 60 (02) :922-932
[56]   Psychophysiological evaluation of simulator sickness evoked by a graphic simulator [J].
Min, BC ;
Chung, SC ;
Min, YK ;
Sakamoto, K .
APPLIED ERGONOMICS, 2004, 35 (06) :549-556
[57]   High-frequency broadband modulations of electroencephalographic spectra [J].
Onton, Julie ;
Makeig, Scott .
FRONTIERS IN HUMAN NEUROSCIENCE, 2009, 3
[58]   Validating the boundary element method for forward and inverse EEG computations in the presence of a hole in the skull [J].
Oostenveld, R ;
Oostendorp, TF .
HUMAN BRAIN MAPPING, 2002, 17 (03) :179-192
[59]   Theta and gamma oscillations predict encoding and retrieval of declarative memory [J].
Osipova, Daria ;
Takashima, Atsuko ;
Oostenveld, Robert ;
Fernandez, Guillen ;
Maris, Eric ;
Jensen, Ole .
JOURNAL OF NEUROSCIENCE, 2006, 26 (28) :7523-7531
[60]   Event-related EEG/MEG synchronization and desynchronization: basic principles [J].
Pfurtscheller, G ;
da Silva, FHL .
CLINICAL NEUROPHYSIOLOGY, 1999, 110 (11) :1842-1857