Separating dynamics of different cell populations from multielectrode signals

• Autorzy: Wojcik D. , Potworowski J. , Glabska H. , Majka P. , Leski S.
• Języki publikacji: EN

Abstrakty

EN

Local field potentials (LFP), low-frequency part of extracellular electric potentials, seem to reflect dendritic processing of incoming activity to neural populations. Long-range nature of electric field leads to correlations even between remote recordings showing sources from millimeters away which complicates analysis of LFP. To get more insight it is convenient whenever possible to look for current sources of the potentials or to decompose the signals into meaningful components using statistical techniques. In Łęski and coauthors (2010) we have combined inverse current source density method with independent component analysis (ICA) to decompose 140 recordings in rat forebrain obtaining physiologically meaningful components across a group of seven animals. To find out what can be really observed with such an approach experimentally we simulated local field potentials generated in a single cortical column in a model of 3560 cells with non-trivial morphologies. Having both the current source density (CSD) and LFP generated by twelve cortical populations included we compared it with independent components obtained in the decomposition of data generated by the whole network. We assumed a set of potential measurements on a regular grid, low-pass filtered it temporally under 500 Hz, reconstructed the sources using kernel current source density and performed the ICA. We found that the recorded evoked activity was dominated by two populations of pyramidal neurons, which were well separated by ICA. Other populations could not be clearly distinguished in the simulated potentials nor in the ICA. Supported by grants POIG.02.03.00-00-003/09, POIG.02.03.00-00-018/08.

• Wydawca: -
• Czasopismo: Acta Neurobiologiae Experimentalis
• Rocznik: 2011
• Tom: 71
• Numer: S
• Opis fizyczny: p.54

Twórcy

autor

Wojcik D.

• Department of Neurophysiology, Nencki Institute of Experimental Biology PAS, Warsaw, Poland

autor

Potworowski J.

• Department of Neurophysiology, Nencki Institute of Experimental Biology PAS, Warsaw, Poland

autor

Glabska H.

• Department of Neurophysiology, Nencki Institute of Experimental Biology PAS, Warsaw, Poland

autor

Majka P.

• Department of Neurophysiology, Nencki Institute of Experimental Biology PAS, Warsaw, Poland

autor

Leski S.

• Department of Neurophysiology, Nencki Institute of Experimental Biology PAS, Warsaw, Poland

Uwagi

Rekord w opracowaniu