Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach

Schizophrenia is a brain disorder that exhibits effects on perception, way of thinking and behavior. Often, schizophrenia patients suffer from attention deficiency. Currently clinical interview is used to diagnose schizophrenia by doctors. There is no alternative way to diagnose schizophrenia in pre...

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Main Author:	W Azlan, Wan Amirah
Format:	Thesis
Language:	English English
Published:	2017
Subjects:	Q Science (General) QP Physiology
Online Access:	http://eprints.utem.edu.my/id/eprint/20539/1/Objective%20Quantification%20Of%20Selective%20Attention%20In%20Schizophrenia%20%3B%20A%20Hybrid%20TMS-EEG%20Approach.pdf http://eprints.utem.edu.my/id/eprint/20539/2/Objective%20quantification%20of%20selective%20attention%20in%20schizophrenia%20a%20hybrid%20TMS%20%E2%80%93%20EEG%20approach.pdf
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id	my-utem-ep.20539
record_format	uketd_dc
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Low, Yin Fen
topic	Q Science (General) QP Physiology
spellingShingle	Q Science (General) QP Physiology W Azlan, Wan Amirah Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach
description	Schizophrenia is a brain disorder that exhibits effects on perception, way of thinking and behavior. Often, schizophrenia patients suffer from attention deficiency. Currently clinical interview is used to diagnose schizophrenia by doctors. There is no alternative way to diagnose schizophrenia in present. Thus, an objective approach by employing transcranial magnetic stimulation combined with electroencephalogram (TMS-EEG) is proposed. The aim of the study is to quantify objectively the neural correlate of selective attention that reflected in auditory late responses (ALRs) using signal processing techniques. TMS provides a means of stimulating neuronal structures within the cortex using brief time-varying magnetic pulses generated by a coil positioned over the scalp. Integrating it with electroencephalogram provides real-time information on cortical reactivity and connectivity through the analysis of TMS evoked potentials or induced oscillations. In this project, auditory oddball paradigm was used throughout the experiment. The experiment involved three sessions; 1) without TMS, 2) single pulse TMS (sTMS) and 3) repetitive TMS (rTMS). All sessions were conducted in attended (attention) and unattended (no attention) conditions. It is found that the amplitude of the grand averaged of ALR (the N1-P2 wave) is higher in control compared to schizophrenia in without TMS session at both conditions. However, the amplitude of ALR in schizophrenia subjects is higher than control subjects in sTMS and rTMS at both conditions. The attention level measure, i.e., the Wavelet Phase Stability (WPS) was used to extract and quantify the neural correlates of auditory selective attention reflected in ALRs. In particular, Complex Morlet was implemented (scales 50-100 corresponding to 4-8Hz). There are significant differences of the ALR between schizophrenia and control groups in without TMS (p<0.05) and sTMS at the attended condition (frontal electrodes). Meanwhile at the unattended condition, Significance difference is found between two groups of the subjects in without TMS but no significant difference in sTMS (frontal electrodes). Particularly, the WPS of controls are larger than schizophrenia patients for without TMS and sTMS at attended for frontal electrodes. These results were consistent for temporal electrodes. It is worth to note that the phase stability of ALR in single pulse TMS is lower than without TMS for controls during attended but showed reversed pattern in unattended. Besides, it is found that a large phase stability difference between without TMS and sTMS in schizophrenia (frontal and temporal electrodes) at unattended compared to attended. For control subjects, this difference is small at frontal and temporal electrodes in both conditions. In a further investigation, the C4.5 decision tree algorithm was implemented to classify the N1-P2 wave of control and schizophrenia subjects elicited by sTMS and rTMS. Four features (energy, power, variance and entropy) were extracted by continuous wavelet transform (CWT). The result shows high classification accuracy which is above 83% in all three sessions at both attended and unattended conditions. In conclusion, the combined TMS-EEG approach shows a promising way to study the selective attention in schizophrenia. By successfully quantifying the neural correlates of auditory selective attention reflected in ALRs using the WPS and discriminating the control and patient groups using C4.5 decision tree provides an objective way to diagnose schizophrenia in compliment to the current subjective method.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	W Azlan, Wan Amirah
author_facet	W Azlan, Wan Amirah
author_sort	W Azlan, Wan Amirah
title	Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach
title_short	Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach
title_full	Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach
title_fullStr	Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach
title_full_unstemmed	Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach
title_sort	objective quantification of selective attention in schizophrenia a hybrid tms – eeg approach
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Electronic And Computer Engineering
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/20539/1/Objective%20Quantification%20Of%20Selective%20Attention%20In%20Schizophrenia%20%3B%20A%20Hybrid%20TMS-EEG%20Approach.pdf http://eprints.utem.edu.my/id/eprint/20539/2/Objective%20quantification%20of%20selective%20attention%20in%20schizophrenia%20a%20hybrid%20TMS%20%E2%80%93%20EEG%20approach.pdf
_version_	1747833977795772416
spelling	my-utem-ep.205392022-05-13T11:26:20Z Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach 2017 W Azlan, Wan Amirah Q Science (General) QP Physiology Schizophrenia is a brain disorder that exhibits effects on perception, way of thinking and behavior. Often, schizophrenia patients suffer from attention deficiency. Currently clinical interview is used to diagnose schizophrenia by doctors. There is no alternative way to diagnose schizophrenia in present. Thus, an objective approach by employing transcranial magnetic stimulation combined with electroencephalogram (TMS-EEG) is proposed. The aim of the study is to quantify objectively the neural correlate of selective attention that reflected in auditory late responses (ALRs) using signal processing techniques. TMS provides a means of stimulating neuronal structures within the cortex using brief time-varying magnetic pulses generated by a coil positioned over the scalp. Integrating it with electroencephalogram provides real-time information on cortical reactivity and connectivity through the analysis of TMS evoked potentials or induced oscillations. In this project, auditory oddball paradigm was used throughout the experiment. The experiment involved three sessions; 1) without TMS, 2) single pulse TMS (sTMS) and 3) repetitive TMS (rTMS). All sessions were conducted in attended (attention) and unattended (no attention) conditions. It is found that the amplitude of the grand averaged of ALR (the N1-P2 wave) is higher in control compared to schizophrenia in without TMS session at both conditions. However, the amplitude of ALR in schizophrenia subjects is higher than control subjects in sTMS and rTMS at both conditions. The attention level measure, i.e., the Wavelet Phase Stability (WPS) was used to extract and quantify the neural correlates of auditory selective attention reflected in ALRs. In particular, Complex Morlet was implemented (scales 50-100 corresponding to 4-8Hz). There are significant differences of the ALR between schizophrenia and control groups in without TMS (p<0.05) and sTMS at the attended condition (frontal electrodes). Meanwhile at the unattended condition, Significance difference is found between two groups of the subjects in without TMS but no significant difference in sTMS (frontal electrodes). Particularly, the WPS of controls are larger than schizophrenia patients for without TMS and sTMS at attended for frontal electrodes. These results were consistent for temporal electrodes. It is worth to note that the phase stability of ALR in single pulse TMS is lower than without TMS for controls during attended but showed reversed pattern in unattended. Besides, it is found that a large phase stability difference between without TMS and sTMS in schizophrenia (frontal and temporal electrodes) at unattended compared to attended. For control subjects, this difference is small at frontal and temporal electrodes in both conditions. In a further investigation, the C4.5 decision tree algorithm was implemented to classify the N1-P2 wave of control and schizophrenia subjects elicited by sTMS and rTMS. Four features (energy, power, variance and entropy) were extracted by continuous wavelet transform (CWT). The result shows high classification accuracy which is above 83% in all three sessions at both attended and unattended conditions. In conclusion, the combined TMS-EEG approach shows a promising way to study the selective attention in schizophrenia. By successfully quantifying the neural correlates of auditory selective attention reflected in ALRs using the WPS and discriminating the control and patient groups using C4.5 decision tree provides an objective way to diagnose schizophrenia in compliment to the current subjective method. 2017 Thesis http://eprints.utem.edu.my/id/eprint/20539/ http://eprints.utem.edu.my/id/eprint/20539/1/Objective%20Quantification%20Of%20Selective%20Attention%20In%20Schizophrenia%20%3B%20A%20Hybrid%20TMS-EEG%20Approach.pdf text en public http://eprints.utem.edu.my/id/eprint/20539/2/Objective%20quantification%20of%20selective%20attention%20in%20schizophrenia%20a%20hybrid%20TMS%20%E2%80%93%20EEG%20approach.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=105834&query_desc=kw%2Cwrdl%3A%20CDR%2015907 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Electronic And Computer Engineering Low, Yin Fen 1. Addison, P.S., 2002. The Illustrated Wavelet Transform Handbook : Introductroductory theory and applications in science, engineering, medicine and finance, Taylor & Francis Group. 2. Akin, M., 2002. Comparison of wavelet transform and FFT methods in the analysis of EEG signals. Journal of Medical Systems, 26, pp.241–247. 3. Aleman, A., 2014. Neurocognitive Basis of Schizophrenia: Information Processing Abnormalities and Clues for Treatment. Advances in Neuroscience, 2014, pp.1–15. 4. Alho, J., Lin, F.H., Sato, M., Tiitinen, H., Sams, M., Jääskeläinen, I.P., 2014. Enhanced neural synchrony between left auditory and premotor cortex is associated with successful phonetic categorization. Frontiers in Psychology, 5. 5. Alisauskiene, M., Truffert, A., Vaiciene, N. and Magistris, M.R., 2005. Transcranial magnetic stimulation in clinical practice. Medicina (Kaunas), 41, pp.813–824. 6. American Psychiatric Association, 2000. DSM-IV, 7. American Psychiatric Association, 2013. Highlights of Changes from DSM-IV-TR to DSM-5. American Psychiatric Association, Washington, p.19. 8. Anand, S. and Hotson, J., 2002. Transcranial magnetic stimulation: Neurophysiological applications and safety. Brain and Cognition, 50, pp.366–386. 9. Barch, D.M. and Ceaser, A., 2012. Cognition in schizophrenia: Core psychological and neural mechanisms. Trends in Cognitive Sciences, 16, pp.27–34. 10. Bayazit, O., Oniz, A., Hahn, C., Güntürkün, O., Ozgören, M., 2009. Dichotic listening revisited: Trial-by-trial ERP analyses reveal intra- and interhemispheric differences. Neuropsychologia, 47, pp.536–545. 11. Bergland, G., 1969. A guided tour of the fast Fourier transform. Spectrum, IEEE, 6, pp.41–52. 12. Begić, D., Popović-Knapić, V., Grubišin, J., Kosanović-Rajačić, B., Filipčić, I., Telarović, I. and Jakovljević, M., 2011. Quantitative electroencephalography in schizophrenia and depression. Psychiatria Danubina, 23, pp.355–362. 13. Blanco, S., Figliola, A., Quiroga, R., Rosso, O. and Serrano, E., 1998. Time-frequency analysis of electroencephalogram series. III. Wavelet packets and information cost function. Physical Review E, 57, pp.932–940. 14. Bolognini, N. and Ro, T., 2010. Transcranial magnetic stimulation: disrupting neural activity to alter and assess brain function. The Journal of neuroscience : the official journal of the Society for Neuroscience, 30, pp.9647–9650. 15. Bonato, C., Miniussi, C. and Rossini, P.M., 2006. Transcranial magnetic stimulation and cortical evoked potentials: A TMS/EEG co-registration study. Clinical Neurophysiology, 117, pp.1699–1707. 16. Boutros, N., Nasrallah, H., Leighty, R., Torello, M., Tueting, P. and Olson, S., 1997. Auditory evoked potentials, clinical vs. research applications. Psychiatry Research, 69, pp.183–195. 17. Ter Braack, E.M., De Jonge, B. and Van Putten, M.J. a M., 2013. Reduction of TMS induced artifacts in EEG using principal component analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21, pp.376–382. 18. Brébion, G., Smith, M.J., Gorman, J.M. and Amador, X., 1996. Reality monitoring failure in schizophrenia: The role of selective attention. Schizophrenia Research, 22, pp.173–180. 19. Brenner, C.A., Kieffaber, P.D., Clementz, B.A., Johannesen, J.K., Shekhar, A., O'Donnell, B.F. and Hetrick, W.P., 2009. Event-related potential abnormalities in schizophrenia: A failure to “gate in” salient information? Schizophrenia Research, 113, pp.332–338. 20. Brockhaus-Dumke, A., Mueller, R., Faigle, U. and Klosterkoetter, J., 2008. Sensory gating revisited: Relation between brain oscillations and auditory evoked potentials in schizophrenia. Schizophrenia Research, 99, pp.238–249. 21. Caprihan, A., Pearlson, G.D. and Calhoun, V.D., 2008. Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements. NeuroImage, 42, pp.675–82. 22. Case, R., 1992. The role of the frontal lobes in the regulation of cognitive development. Brain and Cognition, 20(1), pp.51–73. 23. Chen, R., 2000. Studies of human motor physiology with transcranial magnetic stimulation. Muscle & nerve. Supplement, 9, pp.S26–S32. 24. Clementz, B.A., Wang, J. and Keil, A., 2008. Normal electrocortical facilitation but abnormal target identification during visual sustained attention in schizophrenia. The Journal of neuroscience : the official journal of the Society for Neuroscience, 28, pp.13411–13418. 25. Clunas, N.J. and Ward, P.B., 2005. Auditory recovery cycle dysfunction in schizophrenia: A study using event-related potentials. Psychiatry Research, 136, pp.17–25. 26. Comon, P., 1994. Independent component analysis, A new concept? Signal Processing, 36, pp.287–314. 27. Cooley, J.W. and Tukey, J.W., 1965. an algorithm for the machine calculation of complex fourier. Mathematics of Computation, 19(90), pp.297–301. 28. Cristian, N., 2011. Study of Effects of the Short Time Fourier Transform Configuration on EEG Spectral Estimates. ACTA Technica Napocensis, 52(4), pp.26–29. 29. Curtis, V.A., Bullmore, E.T., Morris, R.G., Brammer, M.J., Williams, S.C.R., Simmons, A., Sharma, T., Murray, R.M, McGuire, P.K., 1999. Attenuated frontal activation in schizophrenia may be task dependent. Schizophrenia Research, 37, pp.35–44. 30. Da Costa, S., van der Zwaag, W., Marques, J.P., Frackowiak, R.S.J., Clarke, S. and Saenz, M., 2011. Human primary auditory cortex follows the shape of Heschl’s gyrus. The Journal of neuroscience : the official journal of the Society for Neuroscience, 31, pp.14067–75. 31. Da Costa, S., van der Zwaag, W., Miller, L.M., Clarke, S. and Saenz, M., 2013. Tuning in to sound: frequency-selective attentional filter in human primary auditory cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience, 33, pp.1858–63. 32. D’Alfonso, A.A.L., Aleman, A., Kessels, R.P.C., Schouten, E.A., Postma, A., van Der Linden, J.A., Cahn, W., Greene, Y., de Haan, E.H.F. and Kahn, R.S., 2002. Transcranial magnetic stimulation of left auditory cortex in patients with schizophrenia: effects on hallucinations and neurocognition. The Journal of neuropsychiatry and clinical neurosciences, 14, pp.77–79. 33. Daskalakis, Z.J., Christensen, B.K., Fitzgerald, P.B. and Chen, R., 2002. Transcranial magnetic stimulation: a new investigational and treatment tool in psychiatry. The Journal of neuropsychiatry and clinical neurosciences, 14, pp.406–415. 34. Daskalakis, Z.J., Farzan, F., Radhu, N. and Fitzgerald, P.B., 2012. Combined transcranial magnetic stimulation and electroencephalography: Its past, present and future. Brain Research, 1463, pp.93–107. 35. Dluhos, P., Schwar, D. and Kasparek, T., 2014. Wavelet Features for Recognition of First Episode of Schizophrenia from MRI Brain Images. Radioengineering, 23(1), pp.274–281. 36. Elahipanah, A., Christensen, B.K. and Reingold, E.M., 2008. Visual selective attention among persons with schizophrenia: The distractor ratio effect. Schizophrenia Research, 105, pp.61–67. 37. Elliott, R., 2003. Executive functions and their disorders: Imaging in clinical neuroscience. British Medical Bulletin, 65, pp.49–59. 38. Erlenmeyer-Kimling, L. and Cornblatt, B.A., 1992. A summary of attentional findings in the New York high-risk project. Journal of Psychiatric Research, 26, pp.405–426. 39. Esser, S.K., Hill, S.L. and Tononi, G., 2005. Modeling the effects of transcranial magnetic stimulation on cortical circuits. Journal of neurophysiology, 94, pp.622–639. 40. Ferrarelli, F., Riedner, B.A., Peterson, M.J., Tononi, G., 2015. Altered prefrontal activity and connectivity predict different cognitive deficits in schizophrenia. Human Brain Mapping, 36, pp.4539–4552. 41. Ferrarelli, F., Massimini, M., Peterson, M.J., Riedner, B. A., Lazar, M., Murphy, M.J., Huber, R., Rosanova, M., Alexander, A.L., Kalin, N. and Tononi, G., 2008. Reduced evoked gamma oscillations in the frontal cortex in schizophrenia patients: A TMS/EEG study. American Journal of Psychiatry, 165, pp.996–1005. 42. Ferreira-Santos, F., Silveira, C., Almeida, P.R., Palha, A., Barbosa, F. and Marques-Teixeira, J., 2012. The auditory P200 is both increased and reduced in schizophrenia? A meta-analytic dissociation of the effect for standard and target stimuli in the oddball task. Clinical Neurophysiology, 123, pp.1300–1308. 43. Ferreri, F. and Rossini, P.M., 2013. TMS and TMS-EEG techniques in the study of the excitability, connectivity, and plasticity of the human motor cortex. Reviews in the Neurosciences, 24, pp.431–442. 44. Filbey, F.M., Toulopoulou, T., Morris, R.G., McDonald, C., Bramon, E., Walshe, M. and Murray, R.M., 2008. Selective attention deficits reflect increased genetic vulnerability to schizophrenia. Schizophrenia Research, 101, pp.169–175. 45. Finke, M., Barceló, F., Garolera, M., Cortiñas, M., Garrido, G., Pajares, M. and Escera, C., 2011. Impaired preparatory re-mapping of stimulus-response associations and rule-implementation in schizophrenic patients-The role for differences in early processing. Biological Psychology, 87, pp.358–365. 46. Fitzgerald, P.B., Brown, T.L. and Daskalakis, Z.J., 2002. The application of transcranial magnetic stimulation in psychiatry and neurosciences research. Acta Psychiatrica Scandinavica, 105, pp.324–340. 47. Flavia, G., Carlos, M. and Adrian, M.B., 2012. attention in patients with chronic schizophrenia:Deficit in inhibitory control and positive symptoms. European Journal of Psychiatry, 3(263), pp.185–195. 48. Force, R.B., Venables, N.C. and Sponheim, S.R., 2008. An auditory processing abnormality specific to liability for schizophrenia. Schizophrenia Research, 103, pp.298–310. 49. Frantseva, M., Cui, J., Farzan, F., Chinta, L.V., Perez Velazquez, J.L. and Daskalakis, Z.J., 2014. Disrupted cortical conductivity in schizophrenia: TMS-EEG study. Cerebral Cortex, 24, pp.211–221. 50. Gao, R.X. and Yan, R., 2011. Wavelets: Theory and applications for manufacturing, 51. Gilmore, C.S., Clementz, B.A. and Buckley, P.F., 2005. Stimulus sequence affects schizophrenia-normal differences in event processing during an auditory oddball task. Brain research. Cognitive brain research, 24, pp.215–27. 52. Gold, J.M., Fuller, R.L., Robinson, B.M., McMahon, R.P., Braun, E.L. and Luck, S.J., 2006. Intact attentional control of working memory encoding in schizophrenia. Journal of abnormal psychology, 115, pp.658–73. 53. Gomez-Pilar, J., Poza, J., Bachiller, A., Gomez, C., Molina, V. and Hornero, R., 2015. Neural network reorganization analysis during an auditory oddball task in schizophrenia using wavelet entropy. Entropy, 17, pp.5241–5256. 54. Grantley, W.T., Robert, W.M. and Dean, F.S., 2013. Early auditory gamma band response abnormalities in first hospitalized schizophrenia. Application of Brain Oscillations in Neuropsychiatric Diseases, 62, pp.131–145. 55. Graux, J., Bidet-Caulet, A., Bonnet-Brilhault, F., Camus, V., Bruneau, N., 2014. Hallucinations and negative symptoms differentially revealed by frontal and temporal responses to speech in schizophrenia. Schizophrenia Research, 155, pp.39–44. 56. Griskova, I., Höppner, J., Ruksenas, O. and Dapsys, K., 2006. Transcranial magnetic stimulation: the method and application. Medicina (Kaunas, Lithuania), 42, pp.798–804. 57. Groppa, S., Oliviero, A., Eisen, A., Quartarone, A., Cohen, L. G., Mall, V., Kaelin-Lang, A., Mima, T., Rossi, S., Thickbroom, G. W., Rossini, P. M., Ziemann, U., Valls-Solé, J. and Siebner, H.R., 2012. A practical guide to diagnostic transcranial magnetic stimulation: Report of an IFCN committee. Clinical Neurophysiology, 123, pp.858–882. 58. Hall, M.-H., Taylor, G., Salisbury, D.F. and Levy, D.L., 2011. Sensory gating event-related potentials and oscillations in schizophrenia patients and their unaffected relatives. Schizophrenia bulletin, 37, pp.1187–99. 59. Hallett, M., 2007. Transcranial Magnetic Stimulation: A Primer. Neuron, 55, pp.187–199. 60. Harris, A.R., Schwerdtfeger, K., Low, Y.F. and Strauss, D.J., 2009. Effects of transcranial magnetic stimulation on auditory attention: An electroencephalographic study. In 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER ’09. pp. 577–580. 61. Hazarika, N., Chen, J.Z., Tsoi, A.C. and Sergejew, A., 1997. Classification of EEG signals using the wavelet transform. Proceedings of 13th International Conference on Digital Signal Processing, 1, pp.61–72. 62. Herrmann, C.S., Grigutsch, M. and Busch, N.A., 1999. EEG oscillations and wavelet analysis. Event related potentials A methods handbook, pp.1–39. 63. Horvath, J.C., Perez, J.M., Forrow, L., Fregni, F. and Pascual-Leone, A., 2011. Transcranial magnetic stimulation: a historical evaluation and future prognosis of therapeutically relevant ethical concerns. Journal of medical ethics, 37, pp.137–143. 64. Huang, N.E., 2005. Introduction To the Hilbert-Huang Transform and Its Related Mathematical Problems. Hilbert-Huang Transform And Its Applications, pp.1–26. 65. Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N-C., Tung, C.C., Liu, H.H., 1998. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 454, pp.903–995. 66. Huang, S., Rossi, S., Hämäläinen, M., and Ahveninen, J., 2014. Auditory conflict resolution correlates with medial-lateral frontal theta/alpha phase synchronye. PLoS ONE, 9. 67. Huettel, S.A. and McCarthy, G., 2004. What is odd in the oddball task? Prefrontal cortex is activated by dynamic changes in response strategy. Neuropsychologia, 42, pp.379–386. 68. Hugdahl, K., 2000. What can be learned about brain function from dichotic listening ? Revista Espanola de Neuropsicologia, 2, pp.62–84. 69. Hummel, F.C. and Cohen, L.G., 2006. Non-invasive brain stimulation: a new strategy to improve neurorehabilitation after stroke? Lancet Neurol, 5, pp.708–712. 70. Hyvarinen, A., Ramkumar, P., Parkkonen, L. and Hari, R., 2010. Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis. NeuroImage, 49, pp.257–271. 71. Iyer, D. and Zouridakis, G., 2008. Single-trial analysis of the auditory N100 improves separation of normal and schizophrenia subjects. Conference proceedings : Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, pp.3840–3843. 72. Iyer, D., Boutros, N.N. and Zouridakis, G., 2012. Single-trial analysis of auditory evoked potentials improves separation of normal and schizophrenia subjects. Clinical Neurophysiology, 123, pp.1810–1820. 73. Javitt, D.C., 2009. When doors of perception close: bottom-up models of disrupted cognition in schizophrenia. Annual review of clinical psychology, 5, pp.249–75. 74. Jongsma, M.L.A., van Rijn, C.M., Gerrits, N.J.H.M., Eichele, T., Steenbergen, B., Maes, J.H.R., Quian Quiroga, R., 2013. The learning-oddball paradigm: Data of 24 separate individuals illustrate its potential usefulness as a new clinical tool. Clinical Neurophysiology, 124, pp.514–521. 75. Jutzeler, C., E. McMullen, M., Featherstone, R.F., Leitman, V., Gandal, M.J. and 76. Steven, J S., 2011. Psychiatric Disorders – Trends and Development. In Psychiatric Disorders - Trends and Developments. pp. 19–66. 77. Kallioniemi Elisa, 2012. Electroencephalography responses evoked by transcranial magnetic stimulation on the primary visual cortex. AALTO university. 78. Kayser, J., Bruder, G.E., Tenke, C.E., Stuart, B.K., Amador, X.F. and Gorman, J.M., 2001. Event-related brain potentials (ERPs) in schizophrenia for tonal and phonetic oddball tasks. Biological Psychiatry, 49, pp.832–847. 79. Key, A., Fonaryova, P., Dove, G.O. and Maguire, M.J., 2005. Linking brainwaves to the brain: an ERP primer. Developmental neuropsychology, 27, pp.183–215. 80. Kiymik, M.K., Guler, I., Dizibuyuk, A. and Akin, M., 2005. Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application. Computers in Biology and Medicine, 35, pp.603–616. 81. Kleinjung, T., Eichhammer, P., Langguth, B., Jacob, P., Marienhagen, J., Hajak, G., Wolf, S.R. and Strutz, J., 2005. Long-term effects of repetitive transcranial magnetic stimulation (rTMS) in patients with chronic tinnitus. Otolaryngology - Head and Neck Surgery, 132, pp.566–569. 82. Kobayashi, M. and Pascual-Leone, A., 2003. Transcranial magnetic stimulation in neurology. Lancet Neurology, 2, pp.145–156. 83. Korhonen, R.J., Hernandez-Pavon, J.C., Metsomaa, J., Mäki, H., Ilmoniemi, R.J. and Sarvas, J., 2011. Removal of large muscle artifacts from transcranial magnetic stimulation-evoked EEG by independent component analysis. Medical and Biological Engineering and Computing, 49, pp.397–407. 84. Kottaimalai, R., Rajasekaran, M.P., Selvam, V. and Kannapiran, B. 2013. EEG signal classification using Principal Component Analysis with Neural Network in Brain Computer Interface applications. 2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN), pp.227–231. 85. Kraus, N. and Trent Nicol, 2009. Auditory Evoked Potentials. Encyclopedia of Neuroscience, pp.214–218. 86. Krause, B.M. and Banks, M.I., 2013. Analysis of stimulus-related activity in rat auditory cortex using complex spectral coefficients. Journal of Neurophysiology, 110, pp.621–639. 87. Von Kriegstein, K., Patterson, R.D. and Griffiths, T.D., 2008. Task-Dependent Modulation of Medial Geniculate Body Is Behaviorally Relevant for Speech Recognition. Current Biology, 18, pp.1855–1859. 88. Kuncheva, L.I. and Rodríguez, J.J., 2012. Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis. Progress in Artificial Intelligence, 2, pp.65–72. 89. LaBarca, D. (2010). Gamma Oscillatory Activity: A Mechanism for Sensory Gating. Master. Drexel University. 90. Langguth, B., de Ridder, D., Dornhoffer, J.L., Eichhammer, P., Folmer, R.L., Frank, E., Fregni, F., Gerloff, C., Khedr, E., Kleinjung, T., Landgrebe, M., Lee, S., Lefaucheur,J.P., Londero, A., Marcondes, R., 2008. Controversy: Does repetitive transcranial magnetic stimulation/ transcranial direct current stimulation show efficacy in treating tinnitus patients? Brain Stimulation, 1(3), pp.192–205. 91. Lakatos, P., Schroeder, C.E., Leitman, D.I. and Javitt, D.C., 2013. Predictive suppression of cortical excitability and its deficit in schizophrenia. The Journal of neuroscience : the official journal of the Society for Neuroscience, 33, pp.11692–702. 92. Laurent, A., Garcia-Larréa, L., D'Amato, T., Bosson, J.L., Saoud, M., Marie-Cardine, M., Maugière, F. and Dalery, J., 1999. Auditory event-related potentials and clinical scores in unmedicated schizophrenic patients. Psychiatry Research, 86, pp.229–238. 93. Lee, A.K.C., Larson, E., Maddox, R.K. and Shinn-Cunningham, B.G., 2014. Using neuroimaging to understand the cortical mechanisms of auditory selective attention. Hearing Research, 307, pp.111–120. 94. Lee U. and Yoo.W.-K., 2013. TMS-induced EEG Artifacts Removal Methods based on Cross- Correlation Coefficients of ICA Components. International Journal of Bio-Science and Bio-Technology, 5(5), pp.161–170. 95. Lefaucheur, J., André-Obadia, N., Antal, A., Ayache, S.S., Baeken, C. and Benninger, D.H., 2014. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS). Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 125, pp.2150–206. 96. Leitman, D.I., Sehatpour, P., Higgins, B.A., Foxe, J.J., Silipo, G., Javitt, D.C., 2010. Sensory deficits and distributed hierarchical dysfunction in schizophrenia. American Journal of Psychiatry, 167, pp.818–827. 97. Lepage, K.Q., Kramer, M.A. and Chu, C.J., 2014. A statistically robust EEG re-referencing procedure to mitigate reference effect. Journal of Neuroscience Methods, 235, pp.101–116. 98. Li, Y., Tong, S., Liu, D., Gai, Y., Wang, X., Wang, J., Qiu, Y. and Zhu, Y., 2008. Abnormal EEG complexity in patients with schizophrenia and depression. Clinical Neurophysiology, 119, pp.1232–1241. 99. Light, G.A. and Braff, D.L., 2005. Mismatch negativity deficits are associated with poor functioning in schizophrenia patients. Archives of general psychiatry, 62, pp.127–136. 100. Light, G.A., Hsu, J.L., Hsieh, M.H., Meyer-Gomes, K., Sprock, J., Swerdlow, N.R. and Braff, D.L., 2006. Gamma Band Oscillations Reveal Neural Network Cortical Coherence Dysfunction in Schizophrenia Patients. Biological Psychiatry, 60, pp.1231–1240. 101. Lijffijt, M., Lane, S.D., Meier, S.L., Boutros, N.N., Burroughs, S., Steinberg, J.L., Moeller, F.G. and Swann, A.C., 2009. P50, N100, and P200 sensory gating: Relationships with behavioral inhibition, attention, and working memory. Psychophysiology, 46, pp.1–20. 102. Liner, C., 2010. An overview of wavelet transform concepts and applications. University of Houston, pp.1–17. 103. Litvak, V., Komssi, S., Scherg, M., Hoechstetter, K., Classen, J., Zaaroor, M.,Pratt, H. and Kahkonen, S., 2007. Artifact correction and source analysis of early electroencephalographic responses evoked by transcranial magnetic stimulation over primary motor cortex. NeuroImage, 37, pp.56–70. 104. Chun - Lin and Liu., 2010. A Tutorial of the Wavelet Transform. History, pp.1–72. 105. Lorenz, I., Müller, N., Schlee, W., Langguth, B. andWeisz, N., 2010. Short-term effects of single repetitive TMS sessions on auditory evoked activity in patients with chronic tinnitus. Journal of neurophysiology, 104, pp.1497–505. 106. Low, Y.F., Schwerdtfeger, K., Harris, A.R. and Strauss, D.J., 2009. An investigation on the effects of single pulse transcranial magnetic stimulation in a modified maximum entropy auditory stimulation paradigm. Conference proceedings :Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2009, pp.678–81. 107. Low, Y.F., 2011. Phase Synchronization of Large–Scale Neural Correlates of Auditory Selective Attention and its Application for the Objective Quantification of the Tinnitus Decompensation. 108. Low, Y.F. and Strauss, D.J., 2009. EEG phase reset due to auditory attention: an inverse time-scale approach. Physiological measurement, 30, pp.821–32. 109. Low, Y.F. and Strauss, D.J., 2011. A performance study of the wavelet-phase stability (WPS) in auditory selective attention. Brain Research Bulletin, 86, pp.110–117. 110. Luck, S.J., 2005. An Introduction to Event-Related Potentials and Their Neural Origins. An introduction to the event-related potential technique, pp.2–50. 111. Maison, S., Micheyl, C. and Collet, L., 2001. Influence of focused auditory attention on cochlear activity in humans. Psychophysiology, 38, pp.35–40. 112. Mathalon, D.H., Heinks, T. and Ford, J.M., 2004. Selective Attention in Schizophrenia: Sparing and Loss of Executive Control. American Journal of Psychiatry, 161, pp.872–881. 113. McClintock, S.M., Freitas, C., Oberman, L., Lisanby, S.H. and Pascual-Leone, A., 2011. Transcranial magnetic stimulation: A neuroscientific probe of cortical function in schizophrenia. Biological Psychiatry, 70, pp.19–27. 114. Millan, M.J., Fone, K., Steckler, T., Horan, W.P., 2014. Negative symptoms of schizophrenia: Clinical characteristics, pathophysiological substrates, experimental models and prospects for improved treatment. European Neuropsychopharmacology, 24, pp.645–692. 115. Miniussi, C., Bortoletto, M. and Thut, G., 2012. Accessing Cortical Connectivity Using TMS : EEG Co-registration TMS and Connectivity. In Cortical Connectivity. pp. 93–110. 116. Miniussi, C. and Thut, G., 2010. Combining TMS and EEG offers new prospects in cognitive neuroscience. Brain Topography, 22, pp.249–256. 117. Minks, E., Kopickova, M., Marecek, R., Streitova, H. and Bares, M., 2010. Transcranial magnetic stimulation of the cerebellum. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub, 154, pp.133–139. 118. Minzenberg, M.J., Firl, A.J., Yoon, J.H.,Gomes, G.C., Reinking, C. and Carter, C.S., 2010. Gamma oscillatory power is impaired during cognitive control independent of medication status in first-episode schizophrenia. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 35, pp.2590–2599. 119. Moran, L. V. and Hong, L.E., 2011. High vs low frequency neural oscillations in schizophrenia. Schizophrenia Bulletin, 37, pp.659–663. 120. Morris, R., Griffiths, O., Le Pelley, M.E., Weickert, T.W., 2013. Attention to irrelevant cues is related to positive symptoms in schizophrenia. Schizophrenia Bulletin, 39, pp.575–582. 121. Naik, G.R. and Kumar, D.K., 2011. An Overview of Independent Component Analysis and Its Applications. Informatica, 35, pp.63–81. 122. Neuhaus, A.H., Popescu, Florin C., Grozea, C., Hahn, E., Hahn, C., Opgen-Rhein, C., Urbanek, C. and Dettling, M, 2011. Single-subject classification of schizophrenia by event-related potentials during selective attention. NeuroImage, 55, pp.514–521. 123. Neuhaus, A.H., Popescu, F.C., Rentzsch, J. and Gallinat, J., 2013. Critical Evaluation of Auditory Event-Related Potential Deficits in Schizophrenia: Evidence From Large-Scale Single-Subject Pattern Classification. Schizophrenia bulletin, 40,5, pp.1062–1071. 124. O’ Carrol, R., 2000. Cognitive impairment in schizophrenia. Advances in Psychiatric Treatment, 6, pp.161–168. 125. O’Donnell, B.F., Wilt, M.A., Brenner, C.A., Busey, T.A., Kwon, J.S., 2002. EEG synchronization deficits in schizophrenia spectrum disorders. International Congress Series, 1232, pp.697–703. 126. O’Donnell, B.F., Vohs, J.L., Hetrick, W.P., Carroll, C.A., Shekhar, A., 2004. Auditory event-related potential abnormalities in bipolar disorder and schizophrenia. International journal of psychophysiology : official journal of the International Organization of Psychophysiology, 53, pp.45–55. 127. Oertel, V., Knöchel, C., Rotarska-Jagiela, A., Schönmeyer, R., Lindner, M., van de Ven, V., Haenschel, C., Uhlhaas, P., Maurer, K. and Linden, D.E.J., 2010. Reduced laterality as a trait marker of schizophrenia--evidence from structural and functional neuroimaging. The Journal of neuroscience : the official journal of the Society for Neuroscience, 30, pp.2289–2299. 128. Oh, S.-H., Lee, Y.-R. and Kim, H.-N., 2014. A Novel EEG Feature Extraction Method Using Hjorth Parameter. International Journal of Electronics and Electrical Engineering, 2, pp.106–110. 129. Oie, M., Rund, B.R., Sundet, K., Bryhn, G., 1998. Auditory laterality and selective attention: Normal performance in patients with early-onset schizophrenia. Schizophrenia Bulletin, 24, pp.643–652. 130. Omar, A. and Che Bakar, O., 2013. Chapter7: Schizophrenia, Schizophreniform, Schizoaffective and Delusional disorder. In Principle and Practice of Psychiatry. pp. 105–111. 131. Orellana, G. and Slachevsky, A., 2013. Executive functioning in schizophrenia. Frontiers in Psychiatry, 4. 132. Pascual-Leone, A., Bartres-Faz, D. and Keenan, J.P., 1999. Transcranial magnetic stimulation: studying the brain-behaviour relationship by induction of “virtual lesions”. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 354, pp.1229–38. 133. Patterson, J. V., Michalewski, H.J. and Starr, A., 1988. Latency variability of the components of auditory event-related potentials to infrequent stimuli in aging, Alzheimer-type dementia, and depression. Electroencephalography and Clinical Neurophysiology/ Evoked Potentials, 71, pp.450–460. 134. Pearson, K., 1901. On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2, pp.559–572. 135. Peters, R.M., Gjini, K., Templin, T.N. and Boutros, N.N., 2014. A statistical methodology to improve accuracy in differentiating schizophrenia patients from healthy controls. Psychiatry Research, 216, pp.333–339. 136. Pigorini, A., Casali, A.G., Casarotto, S., Ferrarelli, F., Baselli, G., Mariotti, M., Massimini, M. and Rosanova, M., 2011. Time-frequency spectral analysis of TMS-evoked EEG oscillations by means of Hilbert-Huang transform. Journal of Neuroscience Methods, 198, pp.236–245. 137. Plassmann, H., Ramsøy, T.Z. & Milosavljevic, M., 2012. Branding the brain: A critical review and outlook. Journal of Consumer Psychology, 22, pp.18–36. 138. Ponjavic-Conte, K.D., Dowdall, J.R., Hambrook, D.A., Luczak, A. and Tata, M., 2012. Neural correlates of auditory distraction revealed in theta-band EEG. NeuroReport, 23, pp.240–245. 139. Potts, G.F., Hirayasu, Y., O'Donnell, B.F., Shenton, M.E. and McCarley, R.W., 1998. High-density recording and topographic analysis of the auditory oddball event-related potential in patients with schizophrenia. Biological Psychiatry, 44, pp.982–989. 140. Pramanick, P., 2013. Classification of Electroencephalogram (EEG) signal based on Fourier Transform and Neural Network. National Institute of Technology. 141. Prikryl, R., Ustohal, L., Prikrylova Kucerova, H., Kasparek, T., Venclikova, S., Vrzalova, M. and Ceskova, E., 2013. A detailed analysis of the effect of repetitive transcranial magnetic stimulation on negative symptoms of schizophrenia: a double-blind trial. Schizophrenia research, 149, pp.167–73. 142. Quian Quiroga, R. and van Luijtelaar, E.L.J.M., 2002. Habituation and sensitization in rat auditory evoked potentials: a single-trial analysis with wavelet denoising. Int J Psychophysiol, 43, pp.141–53. 143. Rahman, F.A., Othman, M.F. and Shaharuddin, N.A., 2015. Analysis methods of EEG signals: A review in EEG application for brain disorder. Jurnal Teknologi, 72, pp.67–72. 144. Rinne, T., Balk, Marja H., Koistinen, S., Autti, T., Alho, K., Sams, M., 2008. Auditory selective attention modulates activation of human inferior colliculus. Journal of neurophysiology, 100, pp.3323–3327. 145. Roach, B.J. and Mathalon, D.H., 2008. Event-related EEG time-frequency analysis: An overview of measures and an analysis of early gamma band phase locking in schizophrenia. Schizophrenia Bulletin, 34, pp.907–926. 146. Rockstroh, B., Kissler, J., Mohr, B., Eulitz, C., Lommen, U., Wienbruch, C., Cohen, R. and Elbert, T., 2001. Altered hemispheric asymmetry of auditory magnetic fields to tones and syllables in schizophrenia. Biological psychiatry, 49, pp.694–703. 147. Rosburg, T., Trautner, P., Fell, J., Moxon, K.A.,Elger, C.E.,Boutros, N.N., Rosburg, T., Trautner, P., Fell, J., Moxon, K.A., Elger, C.E. and Boutros, N.N., 2009. Sensory gating in intracranial recordings--the role of phase locking. Neuroimage, 44, pp.1041–1049. 148. Rosburg, T., Boutros, N.N. and Ford, J.M., 2008. Reduced auditory evoked potential component N100 in schizophrenia - A critical review. Psychiatry Research, 161, pp.259–274. 149. Rossi, S., Hallett, M., Rossini, P.M and Pascual-Leone, A., 2009. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 120(12), pp.2008–39. 150. Rossi, S. and Rossini, P.M., 2004. TMS in cognitive plasticity and the potential for rehabilitation. Trends in Cognitive Sciences, 8, pp.273–279. 151. Rossini, P.M., Rossini, L. and Ferreri, F., 2010. Brain-behavior relations: transcranial magnetic stimulation: a review. IEEE Engineering in Medicine and Biology Magazine, 29, pp.84–95. 152. Rosso, O.A., Martin, M.T., Figliola, A., Keller, K. and Plastino, A., 2006. EEG analysis using wavelet-based information tools. Journal of Neuroscience Methods, 153, pp.163–182. 153. Sabeti, M., Katebi, S.D., Boostani, R., Price, G.W., 2011. A new approach for EEG signal classification of schizophrenic and control participants. Expert Systems with Applications, 38, pp.2063–2071. 154. Salisbury, D.F., Collins, K.C. and McCarley, R.W., 2010. Reductions in the N1 and P2 auditory event-related potentials in first-hospitalized and chronic schizophrenia. Schizophrenia Bulletin, 36, pp.991–1000. 155. Sanei, S. and Chambers, J.A., 2007. EEG signal processing, 156. Santiago-Rodríguez, E., Cárdenas-Morales, L., Harmony, T., Fernández-Bouzas, A., Porras-Kattz, E. and Hernández, A., 2008. Repetitive transcranial magnetic stimulation decreases the number of seizures in patients with focal neocortical epilepsy. Seizure, 17, pp.677–683. 157. Schabus, M., 2001. Cognitive Electrophysiology And Attention. University of Salzburg. 158. Schall, U., Schon, A., Zerbin, D., Bender, S., Eggers, C., Oades, R.D., 1997. A left temporal lobe impairment of auditory information processing in schizophrenia: an event-related potential study. Neuroscience Letters, 229, pp.25–28. 159. Shallice, T. and Evans, M.E., 1978. The involvement of the frontal lobes in cognitive estimation. Cortex; a journal devoted to the study of the nervous system and behavior, 14, pp.294–303. 160. Shi, C., Yu, X., Cheung, E.F.C., Shum, D.H.K. and Chan, R.C.K., 2014. Revisiting the therapeutic effect of rTMS on negative symptoms in schizophrenia: A meta-analysis. Psychiatry Research, 215, pp.505–513. 161. Shlens, J., 2005. A Tutorial on Principal Component Analysis. Measurement, 51, p.52. 162. Siddiqi, A.H., Sevider Kodal, H., Yazici, C., Kutlu, A. and Aslan, Z., 2011. Spectral Analysis of EEG Signals by using Wavelet and Harmonic Transforms. In Mathematics Science and Technology. pp. 1–20. 163. Siebner, H.R., Hartwigsen, G., Kassuba, T. and Rothwell, J.C., 2009. How does transcranial magnetic stimulation modify neuronal activity in the brain? Implications for studies of cognition. Cortex; a journal devoted to the study of the nervous system and behavior, 45, pp.1035–42. 164. Simmonite, M., Bates, A.T., Groom, M., Hollis, C. and Liddle, P.F., 2015. Reduced event-related low frequency EEG activity in patients with early onset schizophrenia and their unaffected siblings. Psychiatry research, 232, pp.51–7. 165. Stewart, L. Ellison, A., Walsh, V. and Cowey, A., 2001. The role of transcranial magnetic stimulation (TMS) in studies of vision, attention and cognition. Acta Psychologica, 107, pp.275–291. 166. Strauss, D.J., Delb, W., D'Amelio, R., Low, Y.F. and Falkai, P., 2008. Objective quantification of the tinnitus decompensation by synchronization measures of auditory evoked single sweeps. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 16, pp.74–81. 167. Subasi, A. and Gursoy, M.I., 2010. EEG signal classification using PCA, ICA, LDA and support vector machines. Expert Systems with Applications, 37, pp.8659–8666. 168. Sui, J., Adali, T., Pearlson, G., Yang, H., Sponheim, S.R.,White, T. and Calhoun, V.D., 2010. ACCA + ICA based model for multi-task brain imaging data fusion and its application to schizophrenia. NeuroImage, 51, pp.123–134. 169. Suleiman, A. and Fatehi, T., 2007. Features Extraction Techniqes of Eeg Signal for Bci Applications. Faculty of Computer and Information, pp.1–5. 170. Swerdlow, N.R., 2010. Behavioral Neurobiology of Schizophrenia and Its Treatment. Current Topics in Behavioral Neurosciences, 4, pp.i–xv; 1–554. 171. Taylor, P.C.J., Walsh, V. and Eimer, M., 2008. Combining TMS and EEG to study cognitive function and cortico-cortico interactions. Behavioural Brain Research, 191, pp.141–147. 172. Teplan, M., 2002. Fundamentals of EEG measurement. Measurement Science Review, 2, pp.1–11. 173. Thatcher, R.W., 2012. Coherence, Phase Differences, Phase Shift, and Phase Lock in EEG/ERP Analyses. Developmental Neuropsychology, 37, pp.476–496. 174. Thibaut, F., Boutros, N.N., Jarema, M., Oranje, B., Hasan, A., Daskalakis, Z.J., Wichniak, A., Schmitt, A., Riederer, P. and Falkai, P., 2015. Consensus paper of the WFSBP Task Force on Biological Markers: Criteria for biomarkers and endophenotypes of schizophrenia part I: Neurophysiology. The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry, 16, pp.280–90. 175. Todd, G., Kimber, T.E., Ridding, M.C., Semmler, J.G., 2010. Reduced motor cortex plasticity following inhibitory rTMS in older adults. Clinical Neurophysiology, 121, pp.441–447. 176. Tregellas, J.R., Davalos, D.B., Rojas, D.C., Waldo, M.C.,Gibson, L., Wylie, K., Du, Y.P. and Freedman, R., 2007. Increased hemodynamic response in the hippocampus, thalamus and prefrontal cortex during abnormal sensory gating in schizophrenia. Schizophrenia Research, 92, pp.262–272. 177. Turetsky, B.I., Greenwood, T.A., Olincy, A., Radant, A.D., Braff, D.L., Cadenhead, K.S., Dobie, D.J., Freedman, R., Green, M.F., Gur, R.E., Gur, R.C., Light, G.A., Mintz, J., Nuechterlein, K.H., Schork, N.J., Seidman, L.J., Siever, L.J., Silverman, J.M., Stone, W.S., 178. Swerdlow, N.R., Tsuang, D.W., Tsuang, M.T. and Calkins, M.E., 2008. Abnormal Auditory N100 Amplitude: A Heritable Endophenotype in First-Degree Relatives of Schizophrenia Probands. Biological Psychiatry, 64, pp.1051–1059. 179. Uhlhaas, P.J. and Singer, W., 2010. Abnormal neural oscillations and synchrony in schizophrenia. Nature reviews. Neuroscience, 11, pp.100–13. 180. van Vugt, M., Sederberg, P. and Kahana, M. (2007). Comparison of spectral analysis methods for characterizing brain oscillations. Journal of Neuroscience Methods, 162(1-2), pp.49-63. 181. Vernet, M., Bashir, S., Yoo, W.K., Perez, J.M., Najib, U. and Pascual-Leone, A., 2013. Insights on the neural basis of motor plasticity induced by theta burst stimulation from TMS-EEG. European Journal of Neuroscience, 37, pp.598–606. 182. Wassermann, E.M., 1998. Risk and safety of repetitive transcranial magnetic stimulation: report and suggested guidelines from the International Workshop on the Safety of Repetitive Transcranial Magnetic Stimulation, June 5-7, 1996. Electroencephalography and clinical neurophysiology, 108, pp.1–16. 183. Waters, F., Woodward, T., Allen, P., Aleman, A. and Sommer, I., 2012. Self-recognition deficits in schizophrenia patients with auditory hallucinations: A meta-analysis of the literature. Schizophrenia Bulletin, 38, pp.741–750. 184. Winterer, G., Ziller, MDorn, H., Frick, K., Mulert, C., Wuebben, Y. and Herrmann, W. M., 2000. Frontal dysfunction in schizophrenia-a new electrophysiological classifier for research and clinical applications. Eur Arch Psychiatry Clin Neurosci, 250, 4, pp.207–214. 185. Wu, K.-Y., Chao, C-W., Hung, C-I., Chen, W-H., Chen, Y-T. and Liang, S-F., 2013. Functional abnormalities in the cortical processing of sound complexity and musical consonance in schizophrenia: evidence from an evoked potential study. BMC psychiatry, 13, p.158. 186. Wynn, J.K., Roach, B.J., Lee, J., Horan, W.P., Ford, J.M., Jimenez, A.M. and Green, M.F., 2015. EEG findings of reduced neural synchronization during visual integration in schizophrenia. PLoS ONE, 10. 187. Xu, Y., Zhang, B., Gao, Q., Fan, H., Zheng, L., Mao, H., Zhang, Y. and Wang, W., 2016. Event-related potentials elicited by the Deutsch “high-low” word illusion in the patients with first-episode schizophrenia with auditory hallucinations. BMC psychiatry, 16(33), pp.1–10. 188. Yamanaka, K., Kadota, H. and Nozaki, D., 2013. Long-latency TMS-evoked potentials during motor execution and inhibition. Frontiers in human neuroscience, 7, p.751. 189. Yee, C.M., Williams, T.J., White, P.M., Nuechterlein, K.H., Ames, D. and Subotnik, K.L., 2010. Attentional modulation of the P50 suppression deficit in recent-onset and chronic schizophrenia. Journal of abnormal psychology, 119, pp.31–9. 190. Yurgil, K.A. and Golob, E.J., 2010. Neural activity before and after conscious perception in dichotic listening. Neuropsychologia, 48, pp.2952–2958. 191. Yuvaraj, R., Murugappan, M., Mohamed Ibrahim, N., Iqbal, M., Sundaraj, K., Mohamad, K., Palaniappan, R., Mesquita, E. and Satiyan, M., 2014. On the analysis of EEG power, frequency and asymmetry in Parkinson’s disease during emotion processing. Behavioral and brain functions, 10, p.12. 192. Zabidi, A., Mansor, W., Lee, Y. K. and Che Wan Fadzal, C.W.N.F. 2012. Short-time Fourier Transform analysis of EEG signal generated during imagined writing. In International Conference on System Engineering and Technology. 193. Ziqiang, Z. and Puthusserypady, S., 2007. Analysis of schizophrenic EEG synchrony using empirical mode decomposition. In 2007 15th International Conference on Digital Signal Processing, DSP 2007. pp. 131–134.

Objective quantification of selective attention in schizophrenia a hybrid TMS – EEG approach

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