1. Introduction of Electroencephalographic Signals in Dementia- Part (I) Richard Chih-Ho Chou, MD Biomedical Imaging and Electronics Laboratory

2. EEG Physiology Distrubuted neuronal networks assure correct functioning of the human brain. Inhibitory and excitatory feedforward and feedback processes are basic mechanisms

3. Basic Interpretation Standard 10-20 or 10-10 system Awake and resting  rhythm (8-13 Hz occipital region, visual blocking)  rhythm (14-30) classification of frontal, widespread type, and posterior type (sometimes called fast alpha variant because of visual blocking) γrhythm (>30), very low amplitude, technically difficult to study. Cognitive activity “dynamic”

4. rhythm (sharp transient of sawtooth shape and of pasitive polarity in the pccopital regions, looking at image containing visual details. Diphasic waves resemble positive occipital sharp transients [POST] of sleep) Mu rhythm (arch-shaped, 7-11Hz, half the frequency of beta activity, blocked by voluntary or passive movements)

5. EEG as a diagnostic tool of AD Reflect the dynamics of cortical activity up to the scale milliseconds. AD may show normal EEG, esp early stage Vast majority of moderate patients show abnormal EEG Monitor changes by serial recordings Comparable diagnosis sensitivity of SPECT or routine structural image (CT, MRI)

7. Abnormal EEG  rhythm (4-7.5 Hz)  rhythm (<4 Hz) Epileptiform discharge (spikes, sharp waves, spike-slow complex, etc.)

11. Fractal Dimention It is possible to use fractal dimention as a tool to characterise the complexity for short EEG time series. Monotoneous relation between fractal dimension and the number of data points. A major problem is that these measures could only be calculated for stationary time series.