The aim of this paper is applying the bispectral analysis on widespread diffuse cross-frequency interactive effects. The event-related potentials (ERPs) research method was used in this study and it could collect the widespread diffuse cross-frequency from mild cognitive impairment (MCI) patients’ brain wave. In this study, the brain wave data were collected from 12 MCI subjects, 12 healthy elderly, and 12 healthy young. The findings showed that the decreased interhemispheric coherence of 8.8?Hz for MCI compared with healthy elderly in the central-parietal cortex to respective surrounding sites and each MCI subject showed significantly widespread diffuse pattern of cross-frequency interactions in comparison with the healthy controls in the left central-parietal and right frontal. This study provides some explanation and suggestions for these findings. 1. Introduction Looking for a reliable and sensitive method to identify more accurately mild Alzheimer’s disease (AD) patients is one of the challenges of the current research. Now, the research method about event-related potentials (ERPs) provides a noninvasive electrophysiological measure as the earliest markers of mild AD. The past studies demonstrated that the P300 amplitude was relatively smaller and P300 latency was longer for AD compared to healthy controls [1–4]. Hence, the P300 which is a component of ERPs data was supposed to be used as an indicator to detect mild AD. The previous study mentioned that the auditory oddball paradigm is related to “focused attention,” “target recognition,” “motor response,” “signal detection,” “working memory,” “executive functions,” and “decision making” [5]. The auditory oddball task is an easy task for mild AD patients to respond [4]. Despite the group differences in the auditory oddball task condition, P300 amplitude and latency are not yet sensitive enough to discriminate between mild AD and normal aging [4]. The event-related oscillatory activity in various frequency bands may reflect different aspects of physiological information processing. Also, the oscillatory changes are basic phenomena during cognitive performance [6]. The construct of dementia has been proposed to designate an early, but abnormal, state of cognitive impairment [7]. Mild AD is supposed to represent a substantial proportion of patients with Alzheimer disease [8]. But it lacks the sensitive indicator to diagnose the mild AD. The hemispheric cooperation model [9, 10] is the study conception underlying the compensation view of bilateral activation in healthy elderly. The previous studies
References
[1]
J. V. Patterson, H. J. Michalewski, and A. Starr, “Latency variability of the components of auditory event-related potentials to infrequent stimuli in aging, Alzheimer-type dementia, and depression,” Electroencephalography and Clinical Neurophysiology, vol. 71, no. 6, pp. 450–460, 1988.
[2]
J. Polich, C. L. Ehlers, and S. Otis, “P300 latency reflects the degree of cognitive decline in dementing illness,” Electroencephalography and Clinical Neurophysiology, vol. 63, no. 2, pp. 138–144, 1986.
[3]
J. Polich and A. Kok, “Cognitive and biological determinants of P300: an integrative review,” Biological Psychology, vol. 41, no. 2, pp. 103–146, 1995.
[4]
J. Polich and J. Corey-Bloom, “Alzheimer's disease and P300: review and evaluation of task and modality,” Current Alzheimer Research, vol. 2, no. 5, pp. 515–525, 2005.
[5]
C. Basar-Eroglu, E. Basar, T. Demiralp, and M. Schurmann, “P300-response: possible psychophysiological correlates in delta and theta frequency channels. A review,” International Journal of Psychophysiology, vol. 13, no. 2, pp. 161–179, 1992.
[6]
C. Ba?ar-Eroglu and T. Demiralp, “Event-related theta oscillations: an integrative and comparative approach in the human and animal brain,” International Journal of Psychophysiology, vol. 39, no. 2-3, pp. 167–195, 2001.
[7]
R. C. Petersen, “Mild cognitive impairment as a diagnostic entity,” Journal of Internal Medicine, vol. 256, no. 3, pp. 183–194, 2004.
[8]
J. C. Morris, M. Storandt, J. P. Miller et al., “Mild cognitive impairment represents early-stage Alzheimer disease,” Archives of Neurology, vol. 58, no. 3, pp. 397–405, 2001.
[9]
W. S. Brown and M. A. Jeeves, “Bilateral visual field processing and evoked potential interhemispheric transmission time,” Neuropsychologia, vol. 31, no. 12, pp. 1267–1281, 1993.
[10]
D. H. Weissman and M. T. Banich, “The cerebral hemispheres cooperate to perform complex but not simple tasks,” Neuropsychology, vol. 14, no. 1, pp. 41–59, 2000.
[11]
R. Cabeza, N. D. Anderson, J. K. Locantore, and A. R. McIntosh, “Aging gracefully: compensatory brain activity in high-performing older adults,” NeuroImage, vol. 17, no. 3, pp. 1394–1402, 2002.
[12]
R. Cabeza, C. L. Grady, L. Nyberg et al., “Age-related differences in neural activity during memory encoding and retrieval: a positron emission tomography study,” Journal of Neuroscience, vol. 17, no. 1, pp. 391–400, 1997.
[13]
L. H. Phillips and P. Andrés, “The cognitive neuroscience of aging: new findings on compensation and connectivity,” Cortex, vol. 46, no. 4, pp. 421–424, 2010.
[14]
P. A. Reuter-Lorenz, L. Stanczak, and A. C. Miller, “Neural recruitment and cognitive aging: two hemispheres are better than one, especially as you age,” Psychological Science, vol. 10, no. 6, pp. 494–500, 1999.
[15]
A. Feydy, R. Carlier, A. Roby-Brami et al., “Longitudinal study of motor recovery after stroke: recruitment and focusing of brain activation,” Stroke, vol. 33, no. 6, pp. 1610–1617, 2002.
[16]
R. Cabeza, “Hemispheric asymmetry reduction in older adults: the HAROLD model,” Psychology and Aging, vol. 17, no. 1, pp. 85–100, 2002.
[17]
C. L. Nikias and A. P. Petropulu, Higher-Order Spectral Analysis: A Nonlinear Signal Processing Framework, PTR Prentice-Hall, Englewood Cliffs, NJ, USA, 1993.
[18]
A. Swami, C. M. Mendel, and C. L. Nikias, Higher-Order Spectral Analysis (HOSA) Toolbox, Version 2. 0. 3, 2000.
[19]
E. Freye and J. V. Levy, “Cerebral monitoring in the operating room and the intensive care unit: an introductory for the clinician and a guide for the novice wanting to open a window to the brain,” Journal of Clinical Monitoring and Computing, vol. 19, no. 1-2, pp. 1–76, 2005.
[20]
B. Schack, N. Vath, H. Petsche, H.-G. Geissler, and E. M?ller, “Phase-coupling of theta-gamma EEG rhythms during short-term memory processing,” International Journal of Psychophysiology, vol. 44, no. 2, pp. 143–163, 2002.
[21]
P. Sauseng, W. Klimesch, W. R. Gruber, and N. Birbaumer, “Cross-frequency phase synchronization: a brain mechanism of memory matching and attention,” NeuroImage, vol. 40, no. 1, pp. 308–317, 2008.
[22]
J. L. Shils, M. Litt, B. E. Skolnick, and M. M. Stecker, “Bispectral analysis of visual interactions in humans,” Electroencephalography and Clinical Neurophysiology, vol. 98, no. 2, pp. 113–125, 1996.