Approximate entropy of motoneuron firing patterns during a motor preparation task

Duclos, Yann; Burnet, Henri; Schmied, Annie; Rossi-Durand, Christiane

doi:10.1016/j.jneumeth.2008.05.001

Cited by 8 publications

(7 citation statements)

References 28 publications

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“…To further determine whether the pattern of bursts was predictable or random, we calculated approximate entropy (ApEn) values using the algorithm developed by Pincus et al (1991) for 20 consecutive bursts for each wild-type or mutant slice. As described in detail by Duclos et al (2008), two input parameters have to be specified for ApEn computations: m , the run length (the length of a sequence of contiguous observations), and r , the filter (also called the criterion of similarity, a fixed value between 10 and 25% of SD). In the present study, the run length was m = 1 (the duration of each interburst interval was compared with the following one), and r = 10% of SD.…”

Section: Methodsmentioning

confidence: 99%

Irregular Breathing in Mice following Genetic Ablation of V2a Neurons

Crone

Viemari

Droho

et al. 2012

Journal of Neuroscience

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Neural networks called central pattern generators (CPGs) generate repetitive motor behaviors such as locomotion and breathing. Glutamatergic neurons are required for the generation and inhibitory neurons for the patterning of the motor activity associated with repetitive motor behaviors. In the mouse, glutamatergic V2a neurons coordinate the activity of left and right leg CPGs in the spinal cord enabling mice to generate an alternating gait. Here, we investigate the role of V2a neurons in the neural control of breathing, an essential repetitive motor behavior. We find that, following the ablation of V2a neurons, newborn mice breathe at a lower frequency. Recordings of respiratory activity in brainstem–spinal cord and respiratory slice preparations demonstrate that mice lacking V2a neurons are deficient in central respiratory rhythm generation. The absence of V2a neurons in the respiratory slice preparation can be compensated for by bath application of neurochemicals known to accelerate the breathing rhythm. In this slice preparation, V2a neurons exhibit a tonic firing pattern. The existence of direct connections between V2a neurons in the medial reticular formation and neurons of the pre-Bötzinger complex indicates that V2a neurons play a direct role in the function of the respiratory CPG in newborn mice. Thus, neurons of the embryonic V2a lineage appear to have been recruited to neural networks that control breathing and locomotion, two prominent CPG-driven, repetitive motor behaviors.

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Section: Methodsmentioning

confidence: 99%

Irregular Breathing in Mice following Genetic Ablation of V2a Neurons

Crone

Viemari

Droho

et al. 2012

Journal of Neuroscience

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“…The ApEn was calculated to identify the regularity in player's movement patterns. The ApEn algorithm quantifies regularity in a time series by measuring the logarithmic likelihood that runs from patterns that are close (within r) to "m" contiguous observations and remain close (with the same tolerance wide r) on subsequent incremental comparisons (Duclos et al, 2008;Pincus, 1991). Imputed values of a vectors' length (m) was 2 and the tolerance (r) was 0.2 standard deviations (Stergiou, Buzzi, Kurz, & Heidel, 2004).…”

Section: Data Processingmentioning

confidence: 99%

“…Performance in team sports is the result of a long-term training process designed to prepare the players for the complex requirements of competition (Duclos, Burnet, Schmied, & Rossi-Durand, 2008;Sampaio & Maçãs, 2012), with special emphasis on self-organising properties and dynamic adaptive behaviour to environmental constraints (Dellal et al, 2008;Sampaio & Maçãs, 2012). In fact, a systematic view of team sports may be seen as fundamental to the emergence of a new understanding of games (Grehaigne, Godbout, & Zerai, 2011).…”

Section: Introductionmentioning

confidence: 99%

Footballers’ movement behaviour during 2-, 3-, 4- and 5-a-side small-sided games

Aguiar

Gonçalves

Botelho

et al. 2015

Journal of Sports Sciences

101

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The aim of this study was to compare footballers' movement behaviour during 2-, 3-, 4- and 5-a-side small-sided games. Ten young professional players (age = 18.0 ± 0.67 years) participated in 3 bouts of each small-sided games for 6 min with 1 min of active rest between bouts. Positional data were collected using GPS system units and used to calculate the following variables: team centroid, distance between each player and own and opponent team centroids and distance between centroids. Approximate entropy was used to identify the time series regularity for each variable. The distance to own team centroid increased with the number of players (effect sizes from moderate to perfect). The results from the distance to the opponent's centroid exhibited a similar trend. The distance between centroids decreased from 2- to the 4-a-side, but then increased in 5-a-side. A higher number of players were associated with lower approximate entropy values, suggesting higher positional organisation in small-sided games with more players. The highest movement regularity found in 4- and 5-a-side identified these formats as more adequate to promote team-related emergent and self-organised behaviours.

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“…The ApEn algorithm is used in non-linear time series by measuring the logarithm likelihood that runs from patterns that are close (within r) to m contiguous observations and remain close (with the same tolerance-wide r) on subsequent incremental comparisons (Duclos, Burnet, Schmied, & Rossi-Durand, 2008;Pincus, 1991;Pincus & Goldberger, 1994). The values used to calculate ApEn were 1.0 to vector length (m) and 0.5 to the tolerance (r) (Richman & Moorman, 2000;Stergiou, Buzzi, Kurz, & Heidel, 2004).…”

Section: Positional Data Processingmentioning

confidence: 99%

Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game

Gonçalves¹,

Figueira²,

Maçãs

et al. 2013

Journal of Sports Sciences

123

132

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The aim of this study was to identify differences in time-motion, modified training impulse, body load and movement behaviour between defenders, midfielders and forwards, during an 11-a-side simulated football game. Twenty elite youth male footballers from the same squad participated in this study (age: 18.1 ± 0.7 years old, body mass: 70.5 ± 4.3 kg, height: 1.8 ± 0.3 m and playing experience: 9.4 ± 1.3 years). All data were collected using GPS units (SPI-Pro, GPSports, Canberra, Australia). The movement behaviour was measured with kinematic data, used to calculate position-specific centroids (defenders, midfielders and forwards), and processed with non-linear statistical procedures (approximate entropy normalised and relative phase). There were significant effects and interactions in all variables across the players' positions. The results showed that displacements of all players (defenders, midfielders and forwards) were nearer and more coordinated with their own position-specific centroids than with the other centroids. However, this coupling effect was stronger in midfield players and weaker in forwards. All players' dynamical positioning showed more irregularity when related to the forwards' centroid, as a consequence of their need to be less predictable when playing. The time-motion and physiological variables showed lower activity in forward players. Adding together, the results may contribute to a better understanding of players' specific performances and football complexity.

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Approximate entropy of motoneuron firing patterns during a motor preparation task

Cited by 8 publications

References 28 publications

Irregular Breathing in Mice following Genetic Ablation of V2a Neurons

Irregular Breathing in Mice following Genetic Ablation of V2a Neurons

Footballers’ movement behaviour during 2-, 3-, 4- and 5-a-side small-sided games

Effect of player position on movement behaviour, physical and physiological performances during an 11-a-side football game

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