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21 21 Jarchi, D. and Sanei, S. (2010). Mental fatigue analysis by measuring synchronization of brain rhythms incorporating enhanced empirical mode decomposition. Proceedings of the 2nd International Workshop on Cognitive Information Processing (CIP). Elba, Italy.

22 22 Jarchi, D. and Sanei, S. (2010). A novel method for analysis of mental fatigue from normal brain rhythms. Proceedings of the 17th European Signal Processing Conference, EUSIPCO. Denmark.

23 23 Jarchi, D., Sanei, S., and Lorist, M.M. (2011). Coupled particle filtering: a new approach for P300‐based analysis of mental fatigue. Journal of Biomedical Signal Processing and Control 6 (2): 175–185.

24 24 Jarchi, D., Makkiabadi, B., and Sanei, S. (2009). Estimation of trial to trial variability of P300 subcomponents by coupled Rao‐Blackwellised particle filtering. Proceedings of the IEEE Workshop on Statistical Signal Processing, SSP2009. Cardiff, UK.

25 25 Jarchi, D., Makkiabadi, B., and Sanei, S. (2009). Separating and tracking ERP subcomponents using constrained particle filter. Proceedings of the 16th International Conference on Digital Signal Processing, DSP2009, Greece.

26 26 Davidson, R.J. and Henriques, J.B. (2000). Regional brain function in sadness and depression. In: The Neuropsychology of Emotion (ed. J.C. Borod), 269–297. New York: Oxford Press.

27 27 Karlin, R., Weinapple, M., Rochford, J., and Goldstein, L. (1979). Quantitated EEG features of negative affective states: report of some hypnotic studies. Research Communications in Psychology, Psychiatry, and Behavior 4: 397–413.

28 28 Tucker, D.M., Stenslie, C.E., Roth, R.S., and Shearer, S.L. (1981). Right frontal lobe activation and right hemisphere performance decrement during a depressed mood. Archives of General Psychiatry 38 (2): 169–174.

29 29 Foster, P.S. and Harrison, D.W. The relationship between magnitudes of cerebral activation and intensity of emotional arousal. International Journal of Neuroscience 112: 1463–1477, 2002.

30 30 Foster, P.S. and Harrison, D.W. (2004). Cerebral correlates of varying ages of emotional memories. Cognitive and Behavioral Neurology 17 (2): 85–92.

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32 32 Lee, G.P., Meador, K.J., Loring, D.W. et al. (2004). Neural substrates of emotion as revealed by functional magnetic resonance imaging. Cognitive and Behavioral Neurology 17 (1): 9–17.

33 33 Xu, X., Wei, F., Zhu, Z. et al. (2020). EEG feature selection using orthogonal regression: application to emotion recognition. ICASSP 2020–2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1239–1243. Barcelona, Spain. https://doi.org/10.1109/ICASSP40776.2020.9054457.

34 34 Zheng, W.‐L., Zhu, J.‐Y., and Lu, B.‐L. (2019). Identifying stable patterns over time for emotion recognition from EEG. IEEE Transactions on Affective Computing 10 (3): 417–429.

35 35 Costa, T., Rognoni, E., and Galati, D. (2006). EEG phase synchronization during emotional response to positive and negative film stimuli. Neuroscience Letters 406: 159–164.

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37 37 Sharbrough, F.W. (1999). Nonspecific abnormal EEG patterns, Chapter 12. In: Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 4e (eds. E. Niedermeyer and F.L. Da Silva). Lippincott Williams & Wilkins.

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45 45 Brenner, R.P. (1999). EEG and dementia, Chapter 19. In: Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 4e (eds. E. Niedermeyer and F.L. Da Silva), 349–359. Lippincott Williams & Wilkins.

46 46 Neufeld, M.Y., Bluman, S., Aitkin, I. et al. (1994). EEG frequency analysis in demented and nondemented parkinsonian patients. Dementia 5: 23–28.

47 47 Niedermeyer, E. (1999). Abnormal EEG patterns: epileptic and paroxysmal, Chapter 13. In: Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 4e (eds. E. Niedermeyer and F.L. Da Silva), 235–260. Lippincott Williams & Wilkins.

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51 51 Gastaut, H. and Broughton, R. (1972). Epileptic Seizure. Springfield, IL: Charles C. Thomas.

52 52 Oller‐Daurella, L. and Oller‐Ferrer‐Vidal, L. (1977). Atlas de Crisis Epilepticas. Geigy Division Farmaceut.

53 53 Niedermeyer, E. (1999). Nonepileptic attacks, Chapter 28. In: Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 4e (eds. E. Niedermeyer and F.L. Da Silva), 586–594. Lippincott Williams & Wilkins.

54 54 Creutzfeldt, H.G. (1968). Uber eine eigenartige herdformige erkrankung des zentralnervensystems. Zeitschrift für die gesamte Neurologie und Psychiatrie 57: 1–18, Quoted after W. R. Kirschbaum, 1920.

55 55 Jakob, A. (1968). Uber eigenartige erkrankung des zentralnervensystems mit bemerkenswerten anatomischen befunden (spastistische pseudosklerose, encephalomyelopathie mit disseminerten degenerationsbeschwerden). Deutsche Zeitschrift für Nervenheilkunde 70: 132, Quoted after W. R. Kirschbaum, 1921.

56 56 Niedermeyer, E. (1999). Epileptic seizure disorders, Chapter 27. In: Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 4e (eds. E. Niedermeyer and F.L. Da Silva), 476–585. Lippincott Williams & Wilkins.

57 57 Small, J.G. (1999). Psychiatric disorders and EEG, Chapter 30. In: Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 4e (eds. E. Niedermeyer and F.L. Da Silva), 235–260. Lippincott Williams & Wilkins.

58 58 Marosi, E., Harmony, T., Sanchez, L. et al. (1992). Maturation of the coherence of EEG activity in normal and learning disabled children. Electroencephalography and Clinical Neurophysiology 83: 350–357.

59 59 Linden, M., Habib, T., and Radojevic, V. (1996). A controlled study of the effects of EEG biofeedback on cognition and behavior of children with attention deficit disorder and learning disabilities. Biofeedback and Self‐Regulation 21 (1): 35–49.

60 60 Hermens, D.F., Soei, E.X., Clarke, S.D. et al. (2005). Resting EEG theta activity predicts cognitive performance in attention‐deficit hyperactivity disorder. Pediatric Neurology 32 (4): 248–256.

61 61 Swartwood, J.N., Swartwood, M.O., Lubar, J.F., and Timmermann, D.L. (2003). EEG differences in ADHD‐combined type during baseline and cognitive tasks. Pediatric Neurology 28 (3): 199–204.

62 62 Clarke, A.R., Barry, R.J., McCarthy, R., and Selikowitz, M. (2002). EEG analysis of children with attention‐deficit/hyperactivity disorder and comorbid reading disabilities. Journal of Learning Disabilities 35 (3): 276–285.

63 63 Yordanova, J., Heinrich, H., Kolev, V., and Rothenberger, A. (2006). Increased event‐related theta activity as a psychophysiological marker of comorbidity in children with tics and attention‐deficit/hyperactivity disorders. NeuroImage 32 (2): 940–955.

64 64 Jacobson, S. and Jerrier, H. (2000). EEG in delirium. Seminars in Clinical Neuropsychiatry 5 (2): 86–92.

65 65 Onoe, S. and Nishigaki, T. (2004). EEG spectral analysis in children with febrile delirium. Brain & Development 26 (8): 513–518.

66 66 Brunovsky, M., Matousek, M., Edman, A. et al. (2003). Objective assessment of the degree of dementia by means of EEG. Neuropsychobiology 48 (1): 19–26.

67 67 Koenig, T., Prichep, L., Dierks, T. et al. (2005). Decreased EEG synchronization in Alzheimer's disease and mild cognitive impairment. Neurobiology of Aging 26 (2): 165–171.

68 68 Babiloni, C., Binetti, G., Cassetta, E. et al. (2006). Sources of cortical rhythms change as a function of cognitive impairment in pathological aging: a multicenter study. Clinical Neurophysiology 117 (2): 252–268.

69 69 Bauer, G. and Bauer, R. (1999). EEG, drug effects, and central nervous system poisoning, Chapter 35. In: Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 4e (eds. E. Niedermeyer and F.L. Da Silva), 671–691. Lippincott Williams & Wilkins.

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71 71 Naidu, S. and Niedermeyer, E. (1999). Digenerative disorders of the central nervous system, Chapter 20. In: Electroencephalography, Basic Principles, Clinical Applications, and Related Fields, 4e (eds. E. Niedermeyer and F.L. Da Silva), 360–382. Lippincott Williams & Wilkins.