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--- abstract: "The averaged electronencephologram (EEG) response of the brain to an external stimulus (evoked potential, EP) is usually subjected to spectral analysis using the fast Fourier transform (FFT), especially to discover the relation of cognitive ability to so-called brain dynamics. There is indeed a discrepancy between these two systems, because the brain is a highly complex nonlinear system, analyzed by a linear system (FFT). We present in this work some inaccuracies that occurred when EPs are subjected to spectral analysis, using a model signal. First of all, the EP power spectra depended upon the number of samples used for averaging; the input EP (model signal) and the output EP (from the system) seemed to be similar in forms, but they exhibited completely different spectral power curves. It was concluded that the spectral analysis of evoked responses by using FFT (linear system analysis) in relation to brain (highly complex nonlinear system) may mislead neuroscientists. \n" altloc: - http://metapress.com chapter: ~ commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: [] creators_name: - family: Kramarenko given: Alexander honourific: '' lineage: '' - family: TAN given: UNER honourific: '' lineage: '' date: 2002-04 date_type: published datestamp: 2002-05-04 department: ~ dir: disk0/00/00/21/97 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: - family: Weinstein given: Sidney honourific: '' lineage: '' eprint_status: archive eprintid: 2197 fileinfo: /style/images/fileicons/application_pdf.png;/2197/3/ALEXTAN.pdf full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: |- brain, cognition, evoked potential, nonlinear system, spectral analysis, method lastmod: 2011-03-11 08:54:55 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: 4 pagerange: 489-499 pubdom: FALSE publication: International Journal of Neuroscience publisher: Taylor & Francis refereed: TRUE referencetext: |- Basar, E., Basar-Eroglu, C., Karaks, S., Schurman, M. (1999a). Neuroscience Letters, 259, 165-168. Basar, E., Demiralp, T., Schurman, M., Basar-Eroglu, C. (1999b). Brain and Language, 66, 146-183. Basar, E., Schurmann, M., & Sakowitz, O. (2001). International Journal of Psychophysiology, 39, 197-212. Connolly, J.F. (2000). Brain and Cognition, 42, 99-101. Freeman, W. J. (1995). Trends in Neurosciences, 18, 429-436. Jervis, B.W., Coelho, M., &Morgan, G.Q. (1989). Medical & Biological Engineering & Computing,27,230-238. Jervis, B.W., Nichols, M.J., Johnson, T.E., Allen, E.M., & Hudson, N.R. (1983). IEEE Transactions on Bio-Medical Engineering, 30, 43-50. Karakas, S., & Basar, E. (1993). International Journal of Neuroscience, 19, 161-172. Khachunts, A.S., Vaganyan, L.G., Tatevosyan, N.E., Tatevosyan, I.G., Kostanyan, E.G. (2001). Human Physiology, 27, 585-590. Melancon, G., & Joanette, Y. (2000). Brain and Cognition, 42, 33-36. Quiroga, R.Q., Sakowitz, O.W., Basar, E., Schurmann, M. (2001). Brain Research Protocols, 8, 16-24. Reinvang, I. (1999). Neuropsychology Review, 9,231-248. Segalowitz, S.J. (2000). Brain and Cognition, 42, 163-165. Srinivasan, R., Tucker, D.M., & Murias, M. (1998). Instruments & Computers, 30, 8-19. relation_type: [] relation_uri: [] reportno: ~ rev_number: 12 series: ~ source: ~ status_changed: 2007-09-12 16:43:25 subjects: - behav-neuro-sci - comp-neuro-sci - neuro-physio succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Validity ty of spectral analysis of evoked potentials in brain research type: journalp userid: 489 volume: 112