Name
Abstract | ||
|---|---|---|
Modern micro-electrode arrays make it possible to simultaneously record population neural activity. However, methods to analyze multiunit activity (MUA), which reflects the aggregate spiking activity of a population of neurons, have remained underdeveloped in comparison to those used for studying single unit activity (SUA). In scenarios where SUA is hard to record and maintain or is not representative of brains response, MUA is informative in deciphering the brains complex time-varying response to stimuli or to clinical insults. Here, we present two quantitative methods of analysis of the time-varying dynamics of MUA without spike detection. These methods are based on the multiresolution discrete wavelet transform (DWT) of an envelope of MUA followed by information theoretic measures: multiresolution entropy (MRE) and the multiresolution Kullback-Leibler distance (MRKLD). We test the proposed quantifiers on both simulated and experimental MUA recorded from rodent cortex in an experimental model of global hypoxic-ischemic brain injury. First, our results validate the use of the envelope of MUA as an alternative to detecting and analyzing transient and complex spike activity. Second, the MRE and MRKLD are shown to respond to dynamic changes due to the brains response to global injury and to identify the transient changes in the MUA. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TBME.2010.2049266 | IEEE Trans. Biomed. Engineering |
Keywords | Field | DocType |
kullback–leibler distance (kld),diseases,microelectrode arrays,single unit activity,neurophysiology,multiresolution,multiresolution discrete wavelet transform,multiunit activity (mua),shannon entropy,electroencephalography,brain response,time-varying multiunit neural activity,cardiac arrest (ca),brain complex time-varying response,injuries,multiresolution kullback-leibler distance,hypoxic-ischemic brain injury,brain injury,information theory,brain,aggregate spiking activity,multiresolution entropy,entropy,envelope,eeg,discrete wavelet transforms,information theoretic measures,discrete wavelet transform (dwt),rodents,quantitative method,kullback leibler distance,microelectrode array,discrete wavelet transform,testing,computer simulation | Population,Signal processing,Computer science,Multiresolution analysis,Discrete wavelet transform,Artificial intelligence,Entropy (information theory),Electroencephalography,Information theory,Computer vision,Pattern recognition,Neurophysiology,Speech recognition | Journal |
Volume | Issue | ISSN |
57 | 11 | 1558-2531 |
Citations | PageRank | References |
2 | 0.55 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-Seok Choi | 1 | 2 | 0.55 |
| Matthew A Koenig | 2 | 2 | 0.55 |
| Xiaofeng Jia | 3 | 44 | 8.75 |
| N. Thakor | 4 | 37 | 6.56 |