autonomic nervous system activity and performance in competitive swimming synapse the research group...
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Autonomic nervous system activity andPerformance in competitive swimming
SynapseThe Research Group
Martin Garet, Nicolas Tournaire,Frédéric Roche, Renaud Laurent,
Jean-René Lacour, Jean-Claude Barthélémy,Vincent Pichot
Saint-Etienne
Facultéde MédecineJacques Lisfranc
Saint-EtienneUniversité Jean Monnet
PPEH Research GroupCHU Saint-EtienneFaculté de Médecine Jacques LisfrancUniversité Jean Monnet
UFR STAPS Clermont-Ferrand, France
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Autonomic NervousSystem
- Parasympathetic
- Sympathetic
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R-R variability in the recovery phase after a strenuous physical exercise
Furlan et al. (1993)
Before Exercise
Exercise
May determine cumulated decrease Rebound
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Exercise, cumulated fatigue
Pichot V. et al. , Pflügers Archiv, 2002
W1 W2 W3 W4Rest
**
0
50
100
HF
wav
elet
s (%
)
W1 W2 W3 W4Rest
**
Athletes Workers
Pichot V. et al. Med Sci Sports Exerc, 2000
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Training. Improve performance.
rest rest rest
Load
HRV UnfavorableOvertraining
TrainingTrainingTraining
HRV FavorableLoad
Rebound
Cycle
Overload
Pichot, Med Sci Sports Exerc, 2000 Pichot, Med Sci Sports Exerc, 2002Pichot, Pflügers, 2002
?
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Kenney W.L. Exercise PhysiologyCurrent Selected Research, 1988
VO2max, mL.kgMM-1.min-1
.
ln V
HP
(m
s)
7
6
5
4
3
30 40 50 60 70 80
ANS - Performance
HR
V (
Pto
t)
30 40 50 60 70
2000
10000
8000
6000
4000
VO2max, mL.kgMM-1.min-1.
Pichot V. et al. Med Sci Sports Exerc, 2002
Cross-sectional Longitudinal
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Study
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ANS – Training Load
ANS - Performance
Group level
Individual level
Individual monitoring
Tapering
Overtraining prevention
?
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Population- 7 regional-level swimmers (4 boys, 3 girls)- 16.6±0.5 years- 6.4±0.9 years of practice - 400 m freestyle
Timing of measurements
HRV HRV HRV HRVHRV HRV
W0 W5W4W3W2W1
Perf 3Perf 1 Perf 2
RP1 TP RP2
Baseline
Resting TaperingTraining Period
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CERT
CE
RT
0
20
40
60
80
100
120
140
160
0
1
2
3
4
5
6
7
8
9
10
W1 W2 W3 W4 W5
Training load
Tra
inin
g l
oad
Training load
- 69.1 % during W4 and W5
**
**
§
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175
100
125
150
200
75
25
50
0Perf 1 Perf 2 (W3) Perf 3 (W5)
115.25±57.48%71.30±52.60%
HF
WT (
% P
erf
1)
ANS evolution group level
NS
NS
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175
100
125
150
200
75
25
50
0
S3
S4
S1
S7
S2
S5
S6 S4
S2S6
S7
S3S5S1
Perf 1 Perf 2 (W3) Perf 3 (W5)
HF
WT (
% P
erf
1)
ANS evolutionindividual level
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Rest RestTraining
5’10 5’04 = - 6 s
5’03 4’54 = - 9 s
5’10 5’16 = + 6 s 100
Relative values, HF%
148 %
-35 %
254 %
P1 P3
P1 P3
Garet M. et al. In press, 2004
±Rebound - Performance
P2
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-6 -4 -2 0 2 4 6 8 10
5
10
15
20
0
-10
-5
Delta HF (WT)
Delta Perf = -1.232 - 1.625 * Delta HF (WT)R2 = 0.50
Del
ta P
erf
(s)
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Optimize training loadOptimize tapering
Conclusion
Highly individual
- ANS answer to training load- Supercompensation- Speed of rebound
Common rule: High correlation between:
- ANS activity level and performance- Respective variations in ANS and in performance
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Engineers
Vincent PICHOTDavid DUVERNEYSébastien CELLEAnestis ANTONIADIS
Neurophysiologist
Frédérique BERTHOLON
MD, PhD
Jean-Claude BARTHELEMYFrédéric ROCHE Frédéric COSTESDavid CHARIERJean-René LACOUR
SynapseResearch Group
PhD Students
Nicolas DESVIGNEMartin GARETMarc CHARLESSébastien CELLEFrancis DEGACHE
E-mail: [email protected]