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Recently, there has been increasing interest in applying graph theory to the quantitative analysis of brain functional networks, while phase synchronization (PS) analysis has been demonstrated to be a useful method to infer functional connectivity with multichannel neural signals, e.g., electroencephalogram (EEG). In this paper, we focus on the case that the number of channels in EEG data is not adequate for the use of graph theory analysis. The degree of network-links (DNLs), an index based on the PS analysis of all the EEG wave pairs, is proposed to study the relevant and the overall characteristics of the brain. With the help of a novel division to the frequency range 0.5–30 Hz, we analyze the DNLs in different frequency bands of the EEG signals. As a comparison, a frequency band analysis of the relative power spectrum is conducted. The results demonstrate that when the cerebral infarction (CI) patients and normal control people are analyzed, there is a need for the reasonable length of EEG data to quantify the differences between different dynamical systems; under a reasonable data length, the frequency band (19–24 Hz) yields the best accuracy for diagnosing CI, which lies within the classical beta band (13–30 Hz); furthermore, only in the 19–24 Hz band, as for the values of relative power spectrum, in each EEG channel, there presents a similar relationship between the CI group and control group. The experimental results suggest that 19–24 Hz should be the optimal range for the diagnosis of CI, further the DNLs calculated within this band serve as an assist indicator in the CI diagnosis.
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Keywords:
- electroencephalogram /
- phase synchrony /
- cerebral infarction /
- complex network
[1] Mishra M, Banday M, Derakhshani R, Croom J, Camarata P J 2011 J. Clin. Monit. Comput. 25 295
[2] Zhu Y, Chen C 2011 World Clin. Drugs 32 143 (in Chinese) [朱燕, 陈超 2011 世界临床药物 32 143]
[3] He Y, Chen Z, Gong G L, Evans A 2009 Neuroscientist 15 333
[4] Bullmore E, Sporns O 2009 Nat. Rev. Neurosci. 10 186
[5] Rubinov M, Sporns O 2010 Neuroimage 52 1059
[6] Stam C J 2010 Int. J. Psychophysiol. 77 186
[7] van Straaten E C W, Stam C J 2013 Eur. Neuropsychopharmacol. 23 7
[8] Yin N, Xu G Z, Zhou Q 2013 Acta Phys. Sin. 62 118704 (in Chinese) [尹宁, 徐桂芝, 周茜 2013 物理学报 62 118704]
[9] Fang X L, Jiang Z L 2007 Acta Phys. Sin. 56 7330 (in Chinese) [方小玲, 姜宗来 2007 物理学报 56 7330]
[10] Bathelt J, O'Reilly H, Clayden J D, Cross J H, de Haan M 2013 NeuroImage 82 595
[11] Stam C J, Jones B F, Nolte G, Breakspear M, Scheltens P 2007 Cereb. Cortex 17 92
[12] Tijms B M, Wink A M, de Haan W, van der Flier W M, Stam C J, Scheltens P, Barkhof F 2013 Neurobiol. Aging 34 2023
[13] Sun J F, Hong X F, Tong S B 2012 IEEE Trans. Bio-Med. Eng. 59 2254
[14] Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang D U 2006 Phys. Rep. 424 175
[15] Quiroga R Q, Kraskov A, Kreuz T, Grassberger P 2002 Phys. Rev. E 65 041903
[16] Dauwels J, Vialatte F, Musha T, Cichocki A 2010 Neuroimage 49 668
[17] Li L, Jin Z L, Li B 2011 Acta Phys. Sin. 60 048703 (in Chinese) [李凌, 金贞兰, 李斌 2011 物理学报 60 048703]
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[1] Mishra M, Banday M, Derakhshani R, Croom J, Camarata P J 2011 J. Clin. Monit. Comput. 25 295
[2] Zhu Y, Chen C 2011 World Clin. Drugs 32 143 (in Chinese) [朱燕, 陈超 2011 世界临床药物 32 143]
[3] He Y, Chen Z, Gong G L, Evans A 2009 Neuroscientist 15 333
[4] Bullmore E, Sporns O 2009 Nat. Rev. Neurosci. 10 186
[5] Rubinov M, Sporns O 2010 Neuroimage 52 1059
[6] Stam C J 2010 Int. J. Psychophysiol. 77 186
[7] van Straaten E C W, Stam C J 2013 Eur. Neuropsychopharmacol. 23 7
[8] Yin N, Xu G Z, Zhou Q 2013 Acta Phys. Sin. 62 118704 (in Chinese) [尹宁, 徐桂芝, 周茜 2013 物理学报 62 118704]
[9] Fang X L, Jiang Z L 2007 Acta Phys. Sin. 56 7330 (in Chinese) [方小玲, 姜宗来 2007 物理学报 56 7330]
[10] Bathelt J, O'Reilly H, Clayden J D, Cross J H, de Haan M 2013 NeuroImage 82 595
[11] Stam C J, Jones B F, Nolte G, Breakspear M, Scheltens P 2007 Cereb. Cortex 17 92
[12] Tijms B M, Wink A M, de Haan W, van der Flier W M, Stam C J, Scheltens P, Barkhof F 2013 Neurobiol. Aging 34 2023
[13] Sun J F, Hong X F, Tong S B 2012 IEEE Trans. Bio-Med. Eng. 59 2254
[14] Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang D U 2006 Phys. Rep. 424 175
[15] Quiroga R Q, Kraskov A, Kreuz T, Grassberger P 2002 Phys. Rev. E 65 041903
[16] Dauwels J, Vialatte F, Musha T, Cichocki A 2010 Neuroimage 49 668
[17] Li L, Jin Z L, Li B 2011 Acta Phys. Sin. 60 048703 (in Chinese) [李凌, 金贞兰, 李斌 2011 物理学报 60 048703]
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