By E. Başar, C. Başar-Eroĝlu, A. Özerdem, P.M. Rossini and G.G. Yener (Eds.)
Read or Download Application of Brain Oscillations in Neuropsychiatric Diseases: Selected Papers from “Brain Oscillations in Cognitive Impairment and Neurotransmitters” Conference, Istanbul, Turkey, 29 April–1 May 2011 PDF
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Additional info for Application of Brain Oscillations in Neuropsychiatric Diseases: Selected Papers from “Brain Oscillations in Cognitive Impairment and Neurotransmitters” Conference, Istanbul, Turkey, 29 April–1 May 2011
Bas¸ar et al. (2010) compared visual sensory evoked and event-related coherences of patients with Alzheimer-type dementia (AD). A total of 38 mild, probable AD subjects (19 untreated, 19 treated with cholinesterase inhibitors) were compared with a group of 19 healthy controls. The sensory evoked coherence and event-related target coherences were analyzed for all frequency ranges for long-range intra-hemispheric (F3-P3, F4-P4, F3-T5, F4-T6, F3-O1, F4-O2) electrode pairs. The healthy control group showed significantly higher values of event-related coherence in “delta,” “theta,” and “alpha” bands in comparison to the de novo and medicated AD groups upon application of target stimuli.
11 provides a histogram of mean Z values for delta frequency range upon application of “target” stimuli for all electrode pairs. In both figures, red bars represent the mean Z values for healthy subjects, whereas green bars represent untreated AD subjects, and blue bars represent treated AD subjects. Fig. 11 shows that the healthy subjects had higher delta response coherence compared to both untreated and treated AD subjects upon application of target stimuli for all electrode pairs. The mean Z value of healthy subjects is 40–50% higher than AD patients in most of the electrode pairs upon application of “target” stimuli.
A most fundamental comparison of various spectral techniques was performed by Bruns (2004), comparing the three classical spectral analysis approaches: Fourier, Hilbert, and wavelet transform. , mathematically) equivalent when using the class of wavelets that is typically applied in spectral analyses. Moreover, spectral amplitude serves as an example that Fourier, Hilbert, and wavelet analysis also yield equivalent results in practical applications to neuronal signals. 2. Some fundamental remarks The functional significance of oscillatory neural activity begins to emerge from the analysis of responses to well-defined events (ERO that is phase- or time-locked to sensory and cognitive event) (Bas¸ar, 1980, 1998).
Application of Brain Oscillations in Neuropsychiatric Diseases: Selected Papers from “Brain Oscillations in Cognitive Impairment and Neurotransmitters” Conference, Istanbul, Turkey, 29 April–1 May 2011 by E. Başar, C. Başar-Eroĝlu, A. Özerdem, P.M. Rossini and G.G. Yener (Eds.)