Brain Function Network Analysis and Recognition for Psychogenic Non-epileptic Seizures Based on Resting State Electroencephalogram_Journal of Biomedical Engineering

Authors：

WANGZhenyu ^1,3 , XUEQing ² , XIONGXiuchun ¹ , LIPeiyang ¹ , TIANChunyang ¹ , FUCehong ³ , WANGYuping ² , YAODezhong ¹ ,  XUPeng ¹

1. Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu 610054, China;
2. Department of Neurology, Xuanwu Hospital, Capital University of Medical Science, Beijing 100053, China;
3. Department of Information Management, Hainan College of Software Technology, Qionghai 571400, China;

Corresponding author：

XUPeng, Email: xupeng@uestc.edu.cn

Keywords：

electroencephalogram; psychogenic non-epileptic seizures; network analysis; linear discriminant analysis

DOI：

10.7507/1001-5515.20150002

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Studies have shown that the clinical manifestation of patients with neuropsychiatric disorders might be related to the abnormal connectivity of brain functions. Psychogenic non-epileptic seizures (PNES) are different from the conventional epileptic seizures due to the lack of the expected electroencephalographically epileptic changes in central nervous system, but are related to the presence of significant psychological factors. Diagnosis of PNES remains challenging. We found in the present work that the connectivity between the frontal and parieto-occipital in PNES was weaker than that of the controls by using network analysis based on electroencephalogram (EEG) signals. In addition, PNES were recognized by using the network properties as linear discriminant nalysis (LDA) input and classification accuracy was 85%. This study may provide a feasible tool for clinical diagnosis of PNES.

Citation： WANGZhenyu, XUEQing, XIONGXiuchun, LIPeiyang, TIANChunyang, FUCehong, WANGYuping, YAODezhong, XUPeng. Brain Function Network Analysis and Recognition for Psychogenic Non-epileptic Seizures Based on Resting State Electroencephalogram. Journal of Biomedical Engineering, 2015, 32(1): 8-12. doi: 10.7507/1001-5515.20150002 Copy

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10.	VAN DER KRUIJS S J, BODDE N M, VAESSEN M J, et al. Functional connectivity of dissociation in patients with psychogenic non-epileptic seizures[J]. J Neurol Neurosurg Psychiatry, 2012, 83(3): 239-247.
11.	LABATE A, CERASA A, MULA M, et al. Neuroanatomic correlates of psychogenic nonepileptic seizures: a cortical thickness and VBM study[J]. Epilepsia, 2012, 53(2): 377-385.
12.	KNYAZEVA M G, JALILI M, FRACKOWIAK R S, et al. Psychogenic seizures and frontal disconnection: EEG synchronisation study[J]. J Neurol Neurosurg Psychiatry, 2011, 82(5): 505-511.
13.	MARSHALL J C, HALLIGAN P W, FINK G R, et al. The functional anatomy of a hysterical paralysis[J]. Cognition, 1997, 64(1):B1-B8.
14.	TRIMBLE M. Somatoform disorders: a medicolegal guide[M]. Cambridge: Cambridge University Press, 2004.
15.	VUILLEUMIER P. Hysterical conversion and brain function[J]. Prog Brain Res, 2005, 150:309-329.
16.	XUE Qing, WANG Zhenyu, XIONG Xiuchun, et al. Altered brain connectivity in patients with psychogenic non-epileptic seizures: a scalp electroencephalography study[J]. J Int Med Res, 2013, 41(5):1682-1690.
17.	YAO Dezhong. A method to standardize a reference of scalp EEG recordings to a point at infinity[J]. Physiol Meas, 2001, 22(4): 693-711.
18.	SPORNS O, CHIALVO D R, KAISER M, et al. Organization, development and function of complex brain networks[J]. Trends Cogn Sci, 2004, 8(9): 418-425.
19.	DE VICO FALLANI F, ASTOLFI L, CINCOTTI F, et al. Brain network analysis from high-resolution EEG recordings by the application of theoretical graph indexes[J]. IEEE Trans Neural Syst Rehabil Eng, 2008, 16(5): 442-452.
20.	PEREDA E, QUIROGA R Q, BHATTACHARYA J. Nonlinear multivariate analysis of neurophysiological signals[J]. Prog Neurobiol, 2005, 77(1-2): 1-37.
21.	LATORA V, MARCHIORI M. Efficient behavior of small-world networks[J]. Phys Rev Lett, 2001, 87(19): 198701.
22.	BISHOP C M. Pattern recognition and machine learning[M]. New York: Springer-Verlag New York Inc., 2006.

1. REIJNEVELD J C, PONTEN S C, BERENDSE H W, et al. The application of graph theoretical analysis to complex networks in the brain[J]. Clin Neurophysiol, 2007, 118(11): 2317-2331.
2. BULLMORE E, SPORNS O. Complex brain networks:graph theoretical analysis of structural and functional systems[J]. Nat Rev Neurosci, 2009, 10(3): 186-198.
3. BODDE N M, BROOKS J L, BAKER G A, et al. Psychogenic non-epileptic seizures——diagnostic issues: a critical review[J]. Clin Neurol Neurosurg, 2009, 111(1): 1-9.
4. REUBER M. Psychogenic nonepileptic seizures: answers and questions[J]. Epilepsy Behav, 2008, 12(4): 622-635.
5. REUBER M, ELGER C E. Psychogenic nonepileptic seizures: review and update[J]. Epilepsy Behav, 2003, 4(3): 205-216.
6. HARDEN C L, JOVINE L, BURGUT F T, et al. A comparison of personality disorder characteristics of patients with nonepileptic psychogenic pseudoseizures with those of patients with epilepsy[J]. Epilepsy Behav, 2009, 14(3): 481-483.
7. LAFRANCE W C, SYC S. Depression and symptoms affect quality of life in psychogenic nonepileptic seizures[J]. Neurology, 2009, 73(5): 366-371.
8. MARCHETTI R L, KURCGANT D, NETO J G, et al. Psychiatric diagnoses of patients with psychogenic non-epileptic seizures[J]. Seizure, 2008, 17(3):247-253.
9. NEIMAN E S, NOE K H, DRAZKOWSKI J F, et al. Utility of subtraction ictal SPECT when video-EEG fails to distinguish atypical psychogenic and epileptic seizures[J]. Epilepsy Behav, 2009, 15(2): 208-212.
10. VAN DER KRUIJS S J, BODDE N M, VAESSEN M J, et al. Functional connectivity of dissociation in patients with psychogenic non-epileptic seizures[J]. J Neurol Neurosurg Psychiatry, 2012, 83(3): 239-247.
11. LABATE A, CERASA A, MULA M, et al. Neuroanatomic correlates of psychogenic nonepileptic seizures: a cortical thickness and VBM study[J]. Epilepsia, 2012, 53(2): 377-385.
12. KNYAZEVA M G, JALILI M, FRACKOWIAK R S, et al. Psychogenic seizures and frontal disconnection: EEG synchronisation study[J]. J Neurol Neurosurg Psychiatry, 2011, 82(5): 505-511.
13. MARSHALL J C, HALLIGAN P W, FINK G R, et al. The functional anatomy of a hysterical paralysis[J]. Cognition, 1997, 64(1):B1-B8.
14. TRIMBLE M. Somatoform disorders: a medicolegal guide[M]. Cambridge: Cambridge University Press, 2004.
15. VUILLEUMIER P. Hysterical conversion and brain function[J]. Prog Brain Res, 2005, 150:309-329.
16. XUE Qing, WANG Zhenyu, XIONG Xiuchun, et al. Altered brain connectivity in patients with psychogenic non-epileptic seizures: a scalp electroencephalography study[J]. J Int Med Res, 2013, 41(5):1682-1690.
17. YAO Dezhong. A method to standardize a reference of scalp EEG recordings to a point at infinity[J]. Physiol Meas, 2001, 22(4): 693-711.
18. SPORNS O, CHIALVO D R, KAISER M, et al. Organization, development and function of complex brain networks[J]. Trends Cogn Sci, 2004, 8(9): 418-425.
19. DE VICO FALLANI F, ASTOLFI L, CINCOTTI F, et al. Brain network analysis from high-resolution EEG recordings by the application of theoretical graph indexes[J]. IEEE Trans Neural Syst Rehabil Eng, 2008, 16(5): 442-452.
20. PEREDA E, QUIROGA R Q, BHATTACHARYA J. Nonlinear multivariate analysis of neurophysiological signals[J]. Prog Neurobiol, 2005, 77(1-2): 1-37.
21. LATORA V, MARCHIORI M. Efficient behavior of small-world networks[J]. Phys Rev Lett, 2001, 87(19): 198701.
22. BISHOP C M. Pattern recognition and machine learning[M]. New York: Springer-Verlag New York Inc., 2006.

Journal of Biomedical Engineering

Brain Function Network Analysis and Recognition for Psychogenic Non-epileptic Seizures Based on Resting State Electroencephalogram

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