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BENEFITS OF MULTI-DOMAIN FEATURE OF MISMATCH NEGATIVITY EXTRACTED BY NON-NEGATIVE TENSOR FACTORIZATION FROM EEG COLLECTED BY LOW-DENSITY ARRAY

FENGYU CONG

Department of Mathematical Information Technology, University of Jyväskylä, Finland

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ANH HUY PHAN

Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan

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QIBIN ZHAO

Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan

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TIINA HUTTUNEN-SCOTT

Department of Psychology, University of Jyväskylä, Finland

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JUKKA KAARTINEN

Department of Psychology, University of Jyväskylä, Finland

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TAPANI RISTANIEMI

Department of Mathematical Information Technology, University of Jyväskylä, Finland

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HEIKKI LYYTINEN

Department of Psychology, University of Jyväskylä, Finland

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, and

ANDRZEJ CICHOCKI

Laboratory for Advanced Brain Signal Processing, RIKEN Brain Science Institute, Japan

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https://doi.org/10.1142/S0129065712500256Cited by:52 (Source: Crossref)

Abstract

Through exploiting temporal, spectral, time-frequency representations, and spatial properties of mismatch negativity (MMN) simultaneously, this study extracts a multi-domain feature of MMN mainly using non-negative tensor factorization. In our experiment, the peak amplitude of MMN between children with reading disability and children with attention deficit was not significantly different, whereas the new feature of MMN significantly discriminated the two groups of children. This is because the feature was derived from multi-domain information with significant reduction of the heterogeneous effect of datasets.

Keywords:

References

R. Näätänen, A. W. Gaillard and S. Mantysalo, Acta Psychol. (Amst). 42, 313 (1978). Medline, Web of Science, Google Scholar
S. J. Luck , An Introduction to the Event-Related Potential Technique ( The MIT Press , 2005 ) . Google Scholar
R. Näätänen , Attention and Brain Functions ( Lawrence Erlbaum Associates , Hillsdale, NJ , 1992 ) . Google Scholar
O. Faustet al., Int. J. Neural Syst. 20, 159 (2010), DOI: 10.1142/S0129065710002334. Link, Web of Science, Google Scholar
M. A. Krameret al., Int. J. Neural Syst. 17, 61 (2007), DOI: 10.1142/S0129065707000932. Link, Web of Science, Google Scholar
H. Osterhageet al., Int. J. Neural Syst. 17, 139 (2007), DOI: 10.1142/S0129065707001019. Link, Web of Science, Google Scholar
R. Näätänenet al., Brain 134, 3432 (2011). Web of Science, Google Scholar
R. Näätänen, T. Kujala and I. Winkler, Psychophysiology 48, 4 (2011). Medline, Web of Science, Google Scholar
C. C. Duncanet al., Clin. Neurophysiol. 120, 1883 (2009), DOI: 10.1016/j.clinph.2009.07.045. Medline, Web of Science, Google Scholar
R. Näätänen, Psychophysiology 38, 1 (2001). Medline, Web of Science, Google Scholar
T. Huttunenet al., Dev. Neuropsychol. 31, 453 (2007), DOI: 10.1080/87565640701229656. Medline, Web of Science, Google Scholar
T. Huttunen-Scottet al., Int. J. Psychophysiol. 69, 69 (2008), DOI: 10.1016/j.ijpsycho.2008.03.002. Medline, Web of Science, Google Scholar
B. Blankertzet al., Neuroimage 56, 814 (2011), DOI: 10.1016/j.neuroimage.2010.06.048. Medline, Web of Science, Google Scholar
A. Cichockiet al., Computer 41, 34 (2008), DOI: 10.1109/MC.2008.431. Web of Science, Google Scholar
J. A. Hämäläinen, S. Ortiz-Mantilla and A. A. Benasich, NeuroImage 54, 1901 (2011). Google Scholar
J. Marco-Pallares, C. Grau and G. Ruffini, Neuroimage 25, 471 (2005). Medline, Web of Science, Google Scholar
G. Stefanicset al., Psychophysiology 44, 697 (2007), DOI: 10.1111/j.1469-8986.2007.00540.x. Medline, Web of Science, Google Scholar
A. Cichocki et al. , Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-Way Data Analysis ( John Wiley , 2009 ) . Google Scholar
F. L. Hitchcock, J. Math. Phys. 6, 164 (1927). Web of Science, Google Scholar
F. Cong, A. H. Phan, P. Astikainen, Q. Zhao, J. K. Hietanen, T. Ristaniemi and A. Cichocki, Multi-domain feature of event-related potential extracted by nonnegative tensor factorization: 5 vs. 14 electrodes EEG data, eds. F. Theis et al., Lecture Notes in Computer Science, Vol. 7191 (2012), pp. 502–510 . Google Scholar
D. D. Lee and H. S. Seung, Nature 401, 788 (1999). Medline, Web of Science, Google Scholar
R. Vigario and E. Oja, IEEE Rev. Biomed. Eng. 1, 50 (2008), DOI: 10.1109/RBME.2008.2008244. Medline, Web of Science, Google Scholar
E. Acaret al., Bioinformatics 23, i10 (2007), DOI: 10.1093/bioinformatics/btm210. Medline, Web of Science, Google Scholar
H. Lee, A. Cichocki and S. Choi, Neurocomputing 72, 3182 (2009), DOI: 10.1016/j.neucom.2009.03.005. Web of Science, Google Scholar
H. Leeet al., Int. J. Neural Syst. 17, 305 (2007), DOI: 10.1142/S0129065707001159. Link, Web of Science, Google Scholar
A. H. Phan and A. Cichocki, IEICE T Fund. Electr. 1, 37 (2010). Web of Science, Google Scholar
M. Morup, L. K. Hansen and S. M. Arnfred, J. Neurosci. Meth. 161, 361 (2007). Medline, Web of Science, Google Scholar
M. Morupet al., Neuroimage 29, 938 (2006). Medline, Web of Science, Google Scholar
A. Cichocki and R. Zdunek, Int. J. Neural Syst. 17, 431 (2007), DOI: 10.1142/S0129065707001275. Link, Web of Science, Google Scholar
J. Li and L. Q. Zhang, Pattern Recognit. Lett. 31, 619 (2010), DOI: 10.1016/j.patrec.2009.11.012. Web of Science, Google Scholar
C. F. Latchoumaneet al., J. Neurosci. Meth. 207, 41 (2012), DOI: 10.1016/j.jneumeth.2012.03.005. Medline, Web of Science, Google Scholar
I. Koprivaet al., Am. J. Pathol. 179, 547 (2011), DOI: 10.1016/j.ajpath.2011.05.010. Medline, Web of Science, Google Scholar
I. Koprivaet al., J. Photochem. Photobiol. B 100, 10 (2010), DOI: 10.1016/j.jphotobiol.2010.03.013. Medline, Web of Science, Google Scholar
E. Pihko, T. Leppasaari and H. Lyytinen, Neuroreport 6, 1215 (1995), DOI: 10.1097/00001756-199505300-00035. Medline, Web of Science, Google Scholar
R. Näätänenet al., Clin. Neurophysiol. 115, 140 (2004). Medline, Web of Science, Google Scholar
S. Pakarinenet al., Clin. Neurophysiol. 118, 177 (2007), DOI: 10.1016/j.clinph.2006.09.001. Medline, Web of Science, Google Scholar
N. Gillis and F. Glineur, Accelerated multiplicative updates and hierarchical ALS algorithms for nonnegative matrix factorization, CORE Discussion Paper 30 (2011) . Google Scholar
R. Bro, Multi-way analysis in the food industry — models, algorithms, and applications, Ph.D. thesis, University of Amsterdam, Holland (1998) . Google Scholar
A. Cichocki and A. H. Phan, IEICE T Fund. Electr. A 92, 708 (2009). Google Scholar
A. H. Phan and A. Cichocki, Multi-way nonnegative tensor factorization using fast hierarchical alternating least squares algorithm (HALS) (2008), pp. 41–44 . Google Scholar
A. Delorme and S. Makeig, J. Neurosci. Meth. 134, 9 (2004), DOI: 10.1016/j.jneumeth.2003.10.009. Medline, Web of Science, Google Scholar
C. Tallon-Baudryet al., J. Neurosci. 16, 4240 (1996). Medline, Web of Science, Google Scholar
O. David, J. M. Kilner and K. J. Friston, Neuroimage 31, 1580 (2006), DOI: 10.1016/j.neuroimage.2006.02.034. Medline, Web of Science, Google Scholar
M. I. Garridoet al., Clin. Neurophysiol. 120, 453 (2009), DOI: 10.1016/j.clinph.2008.11.029. Medline, Web of Science, Google Scholar
C. F. Beckmann and S. M. Smith, IEEE Trans. Med. Imag. 23, 137 (2004), DOI: 10.1109/TMI.2003.822821. Medline, Web of Science, Google Scholar
F. Cong et al. , Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection , IEEE MLSP 2011 ( 2011 ) . Google Scholar
M. Mørup and L. K. Hansen, J. Chemometr. 23, 352 (2009). Web of Science, Google Scholar
M. E. Timmerman and H. A. Kiers, Br. J. Math. Stat. Psychol. 53, 1 (2000), DOI: 10.1348/000711000159132. Medline, Web of Science, Google Scholar
R. Bro and H. A. L. Kiers, J. Chemometr. 17, 274 (2003), DOI: 10.1002/cem.801. Web of Science, Google Scholar
F. Conget al., J. Neurosci. Meth. 201, 269 (2011), DOI: 10.1016/j.jneumeth.2011.07.015. Medline, Web of Science, Google Scholar
F. Conget al., Cogn. Neurodynamics 5, 343 (2011), DOI: 10.1007/s11571-011-9161-1. Medline, Web of Science, Google Scholar
I. Kalyakinet al., Dev. Neuropsychol. 31, 429 (2007), DOI: 10.1080/87565640701229607. Medline, Web of Science, Google Scholar
T. W. Pictonet al., Psychophysiology 37, 127 (2000), DOI: 10.1111/1469-8986.3720127. Medline, Web of Science, Google Scholar
R. V. Hogg and J. Ledolter , Engineering Statistics ( MacMillan , New York , 1987 ) . Google Scholar
M. De Voset al., Neuroimage 37, 844 (2007), DOI: 10.1016/j.neuroimage.2007.04.041. Medline, Web of Science, Google Scholar
A. H. Phan and A. Cichocki, Neurocomputing 74, 1956 (2011), DOI: 10.1016/j.neucom.2010.06.031. Web of Science, Google Scholar
A. Hyvarinenet al., Neuroimage 49, 257 (2010). Medline, Web of Science, Google Scholar
Z. Heet al., IEEE Trans. Pattern Anal. Mach. Intell. 32, 2006 (2010). Medline, Web of Science, Google Scholar
F. Conget al., J. Med. Biol. Eng. 32, 205 (2012), DOI: 10.5405/jmbe.908. Web of Science, Google Scholar
R. Broet al., Anal. Bioanal. Chem. 390, 1241 (2008), DOI: 10.1007/s00216-007-1790-1. Medline, Web of Science, Google Scholar
F. Conget al., Int. J. Neural Syst. 20, 279 (2010), DOI: 10.1142/S0129065710002413. Link, Web of Science, Google Scholar
F. Conget al., Nonlinear Biomed. Phys. 3, 1 (2009), DOI: 10.1186/1753-4631-3-1. Medline, Google Scholar
H. Adeli and S. Ghosh-Dastidar , Automated EEG-Based Diagnosis of Neurological Disorders — Inventing the Future of Neurology ( CRC Press, Taylor & Francis , Boca Raton, Florida , 2010 ) . Google Scholar
M. Cabrerizoet al., Int. J. Neural Syst. 22(2), 1250001 (2012), DOI: 10.1142/S0129065712500013. Link, Web of Science, Google Scholar
U. R. Acharyaet al., Int. J. Neural Syst. 22(2), 1250002 (2012), DOI: 10.1142/S0129065712500025. Link, Web of Science, Google Scholar
U. R. Acharya, S. V. Sree and J. S. Suri, Int. J. Neural Syst. 21(5), 403 (2011), DOI: 10.1142/S0129065711002912. Link, Web of Science, Google Scholar
U. R. Acharyaet al., Int. J. Neural Syst. 21(3), 199 (2010), DOI: 10.1142/S0129065711002808. Link, Web of Science, Google Scholar
Z. Sankari, H. Adeli and A. Adeli, Clin. Neurophysiol. 122(5), 897 (2011), DOI: 10.1016/j.clinph.2010.09.008. Medline, Web of Science, Google Scholar
M. Ahmadlou and H. Adeli, NeuroImage 58(2), 401 (2011), DOI: 10.1016/j.neuroimage.2011.04.070. Medline, Web of Science, Google Scholar
Z. Sankari and H. Adeli, J. Neurosci. Met. 197(1), 165 (2011), DOI: 10.1016/j.jneumeth.2011.01.027. Medline, Web of Science, Google Scholar