Overview of analytical approaches

Electrical Neuroimaging

Volumn , Issue , 2009, Pages 93-110

  Koenig, Thomas ^a   Wackermann, Jiří ^b  

^a UNIVERSITY OF BERN   (Switzerland)

^b Department of Empirical and Analytical Psychophysics   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; ELECTRIC FIELDS;

ACTIVE NEURONS; ANALYSIS STRATEGIES; ANALYTICAL APPROACH; DIPOLAR SOURCES; GENERAL MODEL; IMAGING METHOD; METABOLIC PROCESS; TEMPORAL DYNAMICS;

DYNAMICS;

EID: 84904912590     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1017/CBO9780511596889.006     Document Type: Chapter

References (29)

1. Fuchs M, Wagner M, Kastner J. Boundary element method volume conductor models for EEG source reconstruction. Clinical Neurophysiology 2001;112:1400-1407.
2. Mosher JC, Leahy RM, Lewis PS. EEG and MEG: forward solutions for inverse methods. IEEE Transactions on Biomedical Engineering 1999;46:245-259.
3. Koenig T, Hubl D, Mueller TJ. Decomposing the EEG in time, space and frequency: a formal model, existing methods, and new proposals. In Hirata K, ed. International Congress Series 318 1232. Amsterdam: Elsevier; 2002, pp. 317-321.
4. John ER, Easton P, Prichep LS, Friedman J. Standardized varimax descriptors of event related potentials: basic considerations. Brain Topography 1993;6:143-162.
5. John ER, Prichep LS, Easton P. Standardized varimax descriptors of event related potentials: evaluation of psychiatric patients. Psychiatry Research 1994;55:13-40.
6. Makeig S, Debener S, Onton J, Delorme A. Mining event-related brain dynamics. Trends in Cognitive Science 2004;8:204-210.
7. Makeig S, Jung TP, Bell AJ, Ghahremani D, Sejnowski TJ. Blind separation of auditory event-related brain responses into independent components. Proceedings of the National Academy of Sciences USA 1997;94: 10979-10984.
8. Ilmoniemi RJ. Models of source currents in the brain. Brain Topography 1993;5: 331-336.
9. Pascual-Marqui RD, Michel CM, Lehmann D. Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain. International Journal of Psychophysiology 1994;18:49-65.
10. Kayser J, Tenke CE. Trusting in or breaking with convention: towards a renaissance of principal components analysis in electrophysiology. Clinical Neurophysiology 2005;116:1747-1753.
11. Wackermann J. Beyond mapping: estimating complexity of multichannel EEG recordings. Acta Neurobiologiae Experimentalis (Warszawa). 1996;56: 197-208.
12. Jung TP, Makeig S, Humphries C et al. Removing electroencephalographic artifacts by blind source separation. Psychophysiology 2000;37:163-178.
13. Kobayashi K, James CJ, Nakahori T, Akiyama T, Gotman J. Isolation of epileptiform discharges from unaveraged EEG by independent component analysis. Clinical Neurophysiology 1999;110: 1755-1763.
14. Urrestarazu E, Iriarte J, Artieda J et al. Independent component analysis separates spikes of different origin in the EEG. Journal of Clinical Neurophysiology 2006;23:72-78.
15. Delorme A, Makeig S. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. Journal of Neuroscience Methods 2004;134:9-21.
16. Lobaugh NJ, West R, McIntosh AR. Spatiotemporal analysis of experimental differences in event-related potential data with partial least squares. Psychophysiology 2001;38:517-530.
17. Koenig T, Studer D, Hubl D, Melie L, Strik WK. Brain connectivity at different time-scales measured with EEG. Philosophical Transactions of the Royal Society London Series B Biological Sciences 2005;360:1015-1023.
18. Pascual-Marqui RD, Michel CM, Lehmann D. Segmentation of brain electrical activity into microstates: model estimation and validation. IEEE Transactions on Biomedical Engineering 1995;42:658-665.
19. Brandeis D, Naylor H, Halliday R, Callaway E, Yano L. Scopolamine effects on visual information processing, attention, and event-related potential map latencies. Psychophysiology 1992;29:315-336.
20. Scherg M, Ille N, Bornfleth H, Berg P. Advanced tools for digital EEG review: virtual source montages, whole-head mapping, correlation, and phase analysis. Journal of Clinical Neurophysiology 2002;19: 91-112.
21. John ER, Ahn H, Prichep L et al. Developmental equations for the electroencephalogram. Science 1980;210:1255-1258.
22. John ER, Prichep LS, Fridman J, Easton P. Neurometrics: computer-assisted differential diagnosis of brain dysfunctions. Science 1988;239:162-169.
23. Hughes JR, John ER. Conventional and quantitative electroencephalography in psychiatry. Journal of Neuropsychiatry and Clinical Neuroscience 1999;11:190-208.
24. Borbely AA, Achermann P. Sleep homeostasis and models of sleep regulation. Journal of Biological Rhythms 1999;14:557-568.
25. Herrmann WM. Development and critical evaluation of an objective for the electroencephalographic classification of psychotropic drugs. In HerrmannWM, ed. Electroencephalography in Drug Research. Stuttgart: Gustav Fisher; 1982, pp. 249-351.
26. Saletu B, Kufferle B, Grunberger J et al. Clinical, EEG mapping and psychometric studies in negative schizophrenia: comparative trials with amisulpride and fluphenazine. Neuropsychobiology 1994;29: 125-135.
27. Finelli LA, Achermann P, Borbely AA. Individual 'fingerprints' in human sleep EEG topography. Neuropsychopharmacology 2001;25:S57-S62.
28. Koenig T, Marti-Lopez F, Valdes-Sosa P. Topographic time-frequency decomposition of the EEG. Neuroimage 2001;14:383-390.
29. Studer D, Hoffmann U, Koenig T. From EEG dependency multichannel matching pursuit to sparse topographic EEG decomposition. Journal of Neuroscience Methods 2006;153:261-275.