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Computer Assisted Surgery Volume 22, 2017 - Issue sup1: Innovation in Biomedical Science and Engineering
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Innovation in Biomedical Science and Engineering

Exploring differences between left and right hand motor imagery via spatio-temporal EEG microstate

Weifeng LiuSchool of Life Science, Beijing Institute of Technology, Beijing, China; ;Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, China; View further author information
,
Xiaoming LiuSchool of Life Science, Beijing Institute of Technology, Beijing, China; ;Logistics Department, Beijing northern Hospital, Beijing, ChinaView further author information
,
Ruomeng DaiSchool of Life Science, Beijing Institute of Technology, Beijing, China; View further author information
&
Xiaoying TangSchool of Life Science, Beijing Institute of Technology, Beijing, China; ;Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, The Ministry of Industry and Information Technology, Beijing Institute of Technology, Beijing, China; Correspondence[email protected]
View further author information
Pages 258-266 | Published online: 03 Nov 2017

References

  • Mulder T. Motor imagery and action observation: cognitive tools for rehabilitation. J Neural Transm. 2007;114:1265–1278.
  • Sugata H, Hirata M, Yanagisawa T, et al. Alpha band functional connectivity correlates with the performance of brain–machine interfaces to decode real and imagined movements. Front Hum Neurosci. 2014;8:620.
  • Vogt S, Di Rienzo F, Collet C, et al. Multiple roles of motor imagery during action observation. Front Hum Neurosci. 2013;7:807.
  • Rahman MKM, Joadder MAM. A review on the components of EEG-based motor imagery classification with quantitative comparison. Appl Theory Comput Technol. 2017;2:1–36.
  • Pfurtscheller G, Neuper C. Motor imagery and direct brain-computer communication. Proc IEEE. 2001;89:1123–1134.
  • Pascual-Marqui RD, Michel CM, Lehmann D. Segmentation of brain electrical activity into microstates: model estimation and validation. IEEE Trans Biomed Eng. 1995;42:658–665.
  • Lehmann D. Multichannel topography of human alpha EEG fields. Electroencephalogr Clin Neurophysiol. 1971;31:439–449.
  • Lehmann D, Ozaki H, Pal I. EEG alpha map series: brain micro-states by space-oriented adaptive segmentation. Electroencephalogr Clin Neurophysiol. 1987;67:271–288.
  • Brunet D, Murray MM, Michel CM. Spatiotemporal analysis of multichannel EEG: CARTOOL. Comput Intell Neurosci. 2011;2011:1–15.
  • Michel CM, Seeck M, Landis T. Spatiotemporal dynamics of human cognition. News Physiol Sci. 1999;14:206–214.
  • Koening T, Lehmann D, Merlo MC, et al. A deviant EEG brain microstate in acute, neuroleptic-naive schizophrenics at rest. Eur Arch Psychiatry Clin Neurosci. 1999;249:205–211.
  • Andreou C, Faber PL, Leicht G, et al. Resting-state connectivity in the prodromal phase of schizophrenia: insights from EEG microstates. Schizophr Res. 2014;152:513–520.
  • Nishida K, Morishima Y, Yoshimura M, et al. EEG microstates associated with salience and frontoparietal networks in frontotemporal dementia, schizophrenia and Alzheimer's disease. Clin Neurophysiol. 2013;124:1106–1114.
  • Lehmann D, Faber PL, Galderisi S, et al. EEG microstate duration and syntax in acute, medication-naive, first-episode schizophrenia: a multi-center study. Psychiatry Res Neuroimaging. 2005;138:141–156.
  • Kikuchi M, Koenig T, Munesue T, et al. EEG microstate analysis in drug-naive patients with panic disorder. PLoS One. 2011;6:e22912
  • Strik W, Dierks T, Becker T, et al. Larger topographical variance and decreased duration of brain electric microstates in depression. J Neural Transm Gen Sect. 1995;99:213–222.
  • Brodbeck V, Kuhn A, von Wegner F, et al. EEG microstates of wakefulness and NREM sleep. Neuroimage. 2012;62:2129–2139.
  • Schlegel F, Lehmann D, Faber PL, et al. EEG microstates during resting represent personality differences. Brain Topogr. 2012;25:20–26.
  • Strik WK, Chiaramonti R, Muscas GC, et al. Decreased EEG microstate duration and anteriorisation of the brain electrical fields in mild and moderate dementia of the Alzheimer type. Psychi-Atry Res Neuroimaging. 1997;75:183–191.
  • Tangermann M, Müller KR, Aertsen A, et al. Review of the BCI Competition IV. Front Neurosci. 2012;6:1–31.
  • Katayama H, Gianotti LR, Isotani T, et al. Classes of multichannel EEG microstates in light and deep hypnotic conditions. Brain Topogr. 2007;20:7–14.
  • Lehmann D, Skrandies W. Reference-free identification of components of checkerboard-evoked multichannel potential fields. Electroencephalogr Clin Neurophysiol. 1980;48:609–621.
  • Koenig T, Prichep L, Lehmann D, et al. Millisecond by millisecond, year by year: normative EEG microstates and developmental stages. Neuroimage. 2002;16:41–48.
  • Yang Y, Chevallier S, Wiart J, et al. Time-frequency optimization for discrimination between imagination of right and left hand movements based on two bipolar electroencephalography channels. EURASIP J Adv Signal Process. 2014;1:1–18.
  • Khanna A, Pascual-Leone A, Farzan F. Reliability of Resting-State Microstate Features in Electroencephalo-graphy. PLoS One. 2014;9:e114163.
  • Lehmann D, Strik WK, Henggeler B, et al. Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: I. Visual imagery and abstract thoughts. Int J Psychophysiol. 1998;29:1–11.

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