PMID- 16466798
OWN - NLM
STAT- MEDLINE
DCOM- 20060926
LR  - 20071114
IS  - 0165-0270 (Print)
IS  - 0165-0270 (Linking)
VI  - 155
IP  - 1
DP  - 2006 Jul 15
TI  - Detecting neuronal activity changes using an interspike interval algorithm 
      compared with using visual inspection.
PG  - 49-55
AB  - A universally accepted method for efficiently detecting neuronal activity changes 
      (NACs) in neurophysiological studies has not been established. Visual inspection 
      is still considered to be one of the most reliable methods, although it is 
      limited when it is used for analyzing large quantities of data. In this study, an 
      algorithm that considers interspike intervals (ISIs) was developed to define the 
      onset of NACs. Two criteria, involving the mean and the standard deviation (S.D.) 
      of the ISIs during a control period, were used in the ISI algorithm to evaluate 
      the NACs that occurred during a detection period. The first, an ISI decrease of 
      more than 1 S.D. from the mean ISI of the control period, proved to be an 
      effective criterion for qualifying the increased NACs (firing rate increases). 
      The second, an ISI increase greater than 3 S.D.s, efficiently demarcated periods 
      of decreased NACs (firing rate decreases). Statistically significant correlations 
      between the detection of NAC onset times by the ISI algorithm and the detection 
      of those times by visual inspections were observed after offline analyses of 
      recorded neuronal activity. The present results suggest that this ISI algorithm 
      is a reliable and efficient way of defining the onset of NACs.
FAU - Liu, Yu
AU  - Liu Y
AD  - Department of Anatomy and Neurobiology, University of Tennessee Health Science 
      Center, 855 Monroe Avenue, Memphis, TN 38163, USA.
FAU - Denton, John M
AU  - Denton JM
FAU - Frykberg, Brett P
AU  - Frykberg BP
FAU - Nelson, Randall J
AU  - Nelson RJ
LA  - eng
GR  - NS36860/NS/NINDS NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20060208
PL  - Netherlands
TA  - J Neurosci Methods
JT  - Journal of neuroscience methods
JID - 7905558
SB  - IM
MH  - Action Potentials/*physiology
MH  - *Algorithms
MH  - Animals
MH  - Brain/*physiology
MH  - Electrophysiology/*methods
MH  - Haplorhini
MH  - Motor Cortex/physiology
MH  - Nerve Net/physiology
MH  - Neural Pathways/physiology
MH  - Neurons/*physiology
MH  - Neurophysiology/methods
MH  - Observer Variation
MH  - Reproducibility of Results
MH  - *Signal Processing, Computer-Assisted
MH  - Software/trends
MH  - Time Factors
EDAT- 2006/02/10 09:00
MHDA- 2006/09/27 09:00
CRDT- 2006/02/10 09:00
PHST- 2005/08/02 00:00 [received]
PHST- 2005/12/02 00:00 [revised]
PHST- 2005/12/22 00:00 [accepted]
PHST- 2006/02/10 09:00 [pubmed]
PHST- 2006/09/27 09:00 [medline]
PHST- 2006/02/10 09:00 [entrez]
AID - S0165-0270(06)00009-4 [pii]
AID - 10.1016/j.jneumeth.2005.12.019 [doi]
PST - ppublish
SO  - J Neurosci Methods. 2006 Jul 15;155(1):49-55. doi: 
      10.1016/j.jneumeth.2005.12.019. Epub 2006 Feb 8.