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| Principal Investigator | |
| Principal Investigator's Name: | Tapas Sinha |
| Institution: | NEHU |
| Department: | BioMedical Engineering |
| Country: | |
| Proposed Analysis: | We wish to identify the features which will characterize Alzheimer's disease with reasonable accuracy. For this purpose we plan to use the following methods: 1)Phase /Frequency plots of eeg: The Phase/Frequency plots of normal persons are similar to Devil's staircase while for persons seizures it is a straight line. It would be thus interesting to see what this plot looks like for Alzheimer patients. 2)Bifurcation plots These are plots of the peak to peak height vs the inter-peak distances. The bifurcation plots of the eeg of normal persons shows dense regions while the bifurcation plots of eeg of epileptic persons are discretized and arranged in vertical columns. Again, it would be interesting to see what the Bifurcation plot of the eeg of an Alzheimer patient looks like. 3)Coherence Maps These maps are obtained from matlab and outline the coherent regions. The question is what is the degree of coherence in Alzheimer patients eg with respect to the normal eeg. 4)Power Spectra The power spectra of the eeg of normal persons shows no period doubling while the power spectra of the eeg of epileptic patients shows distinct period doubling 5)Synchrosqueeze Plots Synchrosqueeze is essentially the same as short time fourier transform. However, instead of Sinusoidal components it uses wavelets. The end result is that we can see the neuronal voltage on a much shorter time scale. Neuronal voltage in the case of normal persons is smooth and continuous while in the case of epileptic persons it is totally random. It will be interesting to see the nature of the neuronal voltage in Alzheimer patients The plots(1-5) of both Alzheimer patients and normal persons will be taken and compared. The features which clearly and unambiguously indicate the presence of Alzheimer's will be written up and sent for publication. |
| Additional Investigators |
