DS Andres, DF Cerquetti, M Merello. Neural code alterations and abnormal time patterns in Parkinson's disease. Journal of Neural Engineering 2015 12:026004 (9pp).
Andres DS, Gomez F, Ferrari FS, et al. Multiple-time-scale framework for understanding the progression of Parkinson's disease. Phys Rev E 2014; 90:062709_1-062709_8.
§ A detailed description of experimental methods, and a discussion about neuronal entropy:
D.S. Andrés, D. Cerquetti, M. Merello, R. Stoop Neuronal entropy depends on the level of alertness in the globus pallidus in vivo. Frontiers in Neurology 2014 doi:10.3389/fneur.2014.00096
§ I enjoyed writing the following:
D.S. Andrés, D. Cerquetti, M. Merello, Turbulence in Globus Pallidum neurons in patients with Parkinson's disease: exponential decay of the power spectrum . Journal of Neuroscience Methods Volume 197, Issue 1, 15 April 2011, Pages 14-20 2011 doi:10.1016/j.jneumeth.2011.01.022
§ Something else about Parkinson's disease:D.S. Andrés, D. Cerquetti, M. Merello, Finite dimensional structure of the GPi discharge in patients with Parkinson's disease. International Journal of Neural Systems 21(3):175-186 2011 doi: 10.1142/S0129065711002778
§ A paper about Chagas:
D.S. Andrés, J. Mitelman, I.M. Irurzun, M.M. Defeo, L. Giménez, L.R. Acuña,E.E. Mola. Heart Rate Variability Fraction analysis for early diagnosis of chagasic dysautonomy. (Spanish) Revista brasileira e latino-americana de
marcapasso e arritmia 19(1): 14-19 2006
§ And some work from my PhD thesis:
D.S. Andrés, I.M Iruzun, J. Mitelman, E.E. Mola. Increase in the embedding dimension in the heart rate variability associated with left ventricular abnormalities. Applied Physics Letters 89, 144111 2006
Check out this link for more:google citations / Daniela Andres
Here are some images of the rat's GPi spontaneous discharge under OH-chloride anesthesia.
Signals are recorded using Spike2.
Tip: You can see that, although activity is multi-unit, a clear spike of larger amplitude is seen at the front. This first plane activity can be discriminated using dynamic templates to use the signal for the extraction of single-unit activity.
And the GPi from a patient with Parkinson's disease:
and another one:
When analysing neuronal recordings it is usually helpful to visualize the signals in different scales, many times.This rule holds also for signals of various origins, of course. Use as many zooms as your able to and you will get an idea of what is going on.
Here you can find some preliminar ideas about the way spikes move throughout the nervous system. If you happen to read it and have some opinion about it, please let me know!