PMID- 18573536
OWN - NLM
STAT- MEDLINE
DCOM- 20081020
LR  - 20080711
IS  - 0165-0270 (Print)
IS  - 0165-0270 (Linking)
VI  - 172
IP  - 2
DP  - 2008 Jul 30
TI  - Approximate entropy of motoneuron firing patterns during a motor preparation 
      task.
PG  - 231-5
LID - 10.1016/j.jneumeth.2008.05.001 [doi]
AB  - The aim of this study was to test whether approximate entropy (ApEn) analysis 
      provides a suitable method of detecting differences induced by a motor 
      preparation task in time-ordered inter-spike intervals (ISIs) recorded in 
      tonically firing motoneurons. Unlike classical methods of analyzing neuronal 
      discharge variability, in which serial order is no taken into account, the 
      approximate entropy (ApEn) was proposed by Pincus [Pincus SM. Approximate entropy 
      as a measure of system complexity. Proc Natl Acad Sci USA 1991;88:2297-301] to 
      analyze ordered series. ApEn statistic is a number assigned to an ordered series, 
      where higher values correspond to greater serial irregularity. In the present 
      study, the activity of 31 single motor units (SMUs) was recorded in human 
      extensor carpi radialis muscles and the ISI durations were analyzed during the 
      performance of a pre-cueing reaction time motor task involving a 3-s preparatory 
      period. ApEn values were computed for each SMU during three steps of the 
      preparatory period and during the preceding control period. Lower ApEn values, 
      were found during preparatory period. The decrease in ApEn values, i.e., the 
      increase in serial regularity, was monotonic from the control to the end of the 
      preparatory period. These results show that ApEn model-independent statistics are 
      a relevant means of detecting changes related to motor preparation in the 
      regularity of time-ordered inter-spike intervals (ISIs).
FAU - Duclos, Yann
AU  - Duclos Y
AD  - Laboratoire de Plasticite et Physio-Pathologie de la Motricite , UMR 6196, 
      Universite d'Aix-Marseille-CNRS, 31 chemin Joseph-Aiguier, 13402 Marseille Cedex 
      20, France.
FAU - Burnet, Henri
AU  - Burnet H
FAU - Schmied, Annie
AU  - Schmied A
FAU - Rossi-Durand, Christiane
AU  - Rossi-Durand C
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20080508
PL  - Netherlands
TA  - J Neurosci Methods
JT  - Journal of neuroscience methods
JID - 7905558
SB  - IM
MH  - Action Potentials/*physiology
MH  - Adult
MH  - Data Interpretation, Statistical
MH  - Electrophysiology/*methods
MH  - *Entropy
MH  - Female
MH  - Humans
MH  - Male
MH  - Motor Neurons/*physiology
MH  - Movement/*physiology
MH  - Muscle, Skeletal/innervation/physiology
MH  - Neuromuscular Junction/physiology
MH  - Neurophysiology/*methods
MH  - Psychomotor Performance/physiology
MH  - Reaction Time/physiology
MH  - Signal Processing, Computer-Assisted
MH  - Spinal Cord/physiology
MH  - Time Factors
EDAT- 2008/06/25 09:00
MHDA- 2008/10/22 09:00
CRDT- 2008/06/25 09:00
PHST- 2008/03/18 00:00 [received]
PHST- 2008/04/23 00:00 [revised]
PHST- 2008/05/01 00:00 [accepted]
PHST- 2008/06/25 09:00 [pubmed]
PHST- 2008/10/22 09:00 [medline]
PHST- 2008/06/25 09:00 [entrez]
AID - S0165-0270(08)00263-X [pii]
AID - 10.1016/j.jneumeth.2008.05.001 [doi]
PST - ppublish
SO  - J Neurosci Methods. 2008 Jul 30;172(2):231-5. doi: 
      10.1016/j.jneumeth.2008.05.001. Epub 2008 May 8.