PMID- 28177924
OWN - NLM
STAT- MEDLINE
DCOM- 20171205
LR  - 20181110
IS  - 1741-2552 (Electronic)
IS  - 1741-2552 (Linking)
VI  - 14
IP  - 2
DP  - 2017 Apr
TI  - Adapted wavelet transform improves time-frequency representations: a study of 
      auditory elicited P300-like event-related potentials in rats.
PG  - 026012
LID - 10.1088/1741-2552/aa536e [doi]
AB  - OBJECTIVE: Active auditory oddball paradigms are simple tone discrimination tasks 
      used to study the P300 deflection of event-related potentials (ERPs). These ERPs 
      may be quantified by time-frequency analysis. As auditory stimuli cause early 
      high frequency and late low frequency ERP oscillations, the continuous wavelet 
      transform (CWT) is often chosen for decomposition due to its multi-resolution 
      properties. However, as the conventional CWT traditionally applies only one 
      mother wavelet to represent the entire spectrum, the time-frequency resolution is 
      not optimal across all scales. To account for this, we developed and validated a 
      novel method specifically refined to analyse P300-like ERPs in rats. APPROACH: An 
      adapted CWT (aCWT) was implemented to preserve high time-frequency resolution 
      across all scales by commissioning of multiple wavelets operating at different 
      scales. First, decomposition of simulated ERPs was illustrated using the 
      classical CWT and the aCWT. Next, the two methods were applied to EEG recordings 
      obtained from prefrontal cortex in rats performing a two-tone auditory 
      discrimination task. MAIN RESULTS: While only early ERP frequency changes between 
      responses to target and non-target tones were detected by the CWT, both early and 
      late changes were successfully described with strong accuracy by the aCWT in rat 
      ERPs. Increased frontal gamma power and phase synchrony was observed particularly 
      within theta and gamma frequency bands during deviant tones. SIGNIFICANCE: The 
      study suggests superior performance of the aCWT over the CWT in terms of detailed 
      quantification of time-frequency properties of ERPs. Our methodological 
      investigation indicates that accurate and complete assessment of time-frequency 
      components of short-time neural signals is feasible with the novel analysis 
      approach which may be advantageous for characterisation of several types of 
      evoked potentials in particularly rodents.
FAU - Richard, Nelly
AU  - Richard N
AD  - Department of Electrical Engineering, Technical University of Denmark, Building 
      349, Oersteds Plads, 2800 Kgs. Lyngby, Denmark.
FAU - Laursen, Bettina
AU  - Laursen B
FAU - Grupe, Morten
AU  - Grupe M
FAU - Drewes, Asbjorn M
AU  - Drewes AM
FAU - Graversen, Carina
AU  - Graversen C
FAU - Sorensen, Helge B D
AU  - Sorensen HB
FAU - Bastlund, Jesper F
AU  - Bastlund JF
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20170208
PL  - England
TA  - J Neural Eng
JT  - Journal of neural engineering
JID - 101217933
SB  - IM
MH  - Acoustic Stimulation/methods
MH  - *Algorithms
MH  - Animals
MH  - Auditory Perception/*physiology
MH  - Electroencephalography/*methods
MH  - Event-Related Potentials, P300/*physiology
MH  - Evoked Potentials, Auditory/*physiology
MH  - Male
MH  - Rats
MH  - Rats, Sprague-Dawley
MH  - Reproducibility of Results
MH  - Sensitivity and Specificity
MH  - *Wavelet Analysis
EDAT- 2017/02/09 06:00
MHDA- 2017/12/06 06:00
CRDT- 2017/02/09 06:00
PHST- 2017/02/09 06:00 [pubmed]
PHST- 2017/12/06 06:00 [medline]
PHST- 2017/02/09 06:00 [entrez]
AID - 10.1088/1741-2552/aa536e [doi]
PST - ppublish
SO  - J Neural Eng. 2017 Apr;14(2):026012. doi: 10.1088/1741-2552/aa536e. Epub 2017 Feb 
      8.