Estimates of voluntary activation in individuals with anterior cruciate ligament reconstruction: Effects of type of stimulator, number of stimuli, and quantification technique.
Anterior cruciate ligament
Central activation
Inhibition
Knee strength
Triplet
Twitch interpolation
Journal
Journal of sport and health science
ISSN: 2213-2961
Titre abrégé: J Sport Health Sci
Pays: China
ID NLM: 101606001
Informations de publication
Date de publication:
01 2022
01 2022
Historique:
received:
31
08
2019
revised:
15
10
2019
accepted:
12
11
2019
pubmed:
22
7
2020
medline:
22
4
2022
entrez:
22
7
2020
Statut:
ppublish
Résumé
Accurate quantification of voluntary activation is important for understanding the extent of quadriceps dysfunction in individuals with anterior cruciate ligament reconstruction (ACLR). Voluntary activation has been quantified using both percent activation derived from the interpolated twitch technique and central activation ratio (CAR) derived from the burst superimposition technique, as well as by using different types of electrical stimulators and pulse train conditions. However, it is unclear how these parameters affect voluntary activation estimates in individuals with ACLR. This study was performed to fill this important knowledge gap in the anterior cruciate ligament literature. Quadriceps strength and voluntary activation were examined in 18 ACLR participants (12 quadriceps/patellar tendon graft, 6 hamstring tendon graft; time since ACLR: 1.06 ± 0.82 years, mean ± SD) at 90° of knee flexion using 2 stimulators (Digitimer and Grass) and pulse train conditions (3-pulse and 10-pulse). Voluntary activation was quantified by calculating both CAR and percent activation. Results indicated that voluntary activation was significantly overestimated by CAR when compared with percent activation (p < 0.001). Voluntary activation estimates were not affected by pulse train conditions when using percent activation; however, 3-pulse stimuli resulted in greater overestimation than 10-pulse stimuli when using CAR (p = 0.003). Voluntary activation did not differ between stimulators (p > 0.05); however, the Digitimer evoked greater torque at rest than the Grass (p < 0.001). These results indicate that percent activation derived from the interpolated twitch technique provides superior estimates of voluntary activation than CAR derived from burst superimposition and is less affected by pulse train conditions or stimulators in individuals with ACLR.
Sections du résumé
BACKGROUND
Accurate quantification of voluntary activation is important for understanding the extent of quadriceps dysfunction in individuals with anterior cruciate ligament reconstruction (ACLR). Voluntary activation has been quantified using both percent activation derived from the interpolated twitch technique and central activation ratio (CAR) derived from the burst superimposition technique, as well as by using different types of electrical stimulators and pulse train conditions. However, it is unclear how these parameters affect voluntary activation estimates in individuals with ACLR. This study was performed to fill this important knowledge gap in the anterior cruciate ligament literature.
METHODS
Quadriceps strength and voluntary activation were examined in 18 ACLR participants (12 quadriceps/patellar tendon graft, 6 hamstring tendon graft; time since ACLR: 1.06 ± 0.82 years, mean ± SD) at 90° of knee flexion using 2 stimulators (Digitimer and Grass) and pulse train conditions (3-pulse and 10-pulse). Voluntary activation was quantified by calculating both CAR and percent activation.
RESULTS
Results indicated that voluntary activation was significantly overestimated by CAR when compared with percent activation (p < 0.001). Voluntary activation estimates were not affected by pulse train conditions when using percent activation; however, 3-pulse stimuli resulted in greater overestimation than 10-pulse stimuli when using CAR (p = 0.003). Voluntary activation did not differ between stimulators (p > 0.05); however, the Digitimer evoked greater torque at rest than the Grass (p < 0.001).
CONCLUSION
These results indicate that percent activation derived from the interpolated twitch technique provides superior estimates of voluntary activation than CAR derived from burst superimposition and is less affected by pulse train conditions or stimulators in individuals with ACLR.
Identifiants
pubmed: 32692315
pii: S2095-2546(19)30148-6
doi: 10.1016/j.jshs.2019.12.001
pmc: PMC8847978
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
85-93Subventions
Organisme : NICHD NIH HHS
ID : R21 HD092614
Pays : United States
Informations de copyright
Copyright © 2020. Production and hosting by Elsevier B.V.
Références
J Electromyogr Kinesiol. 2016 Jun;28:31-6
pubmed: 26990615
Man Ther. 2016 Apr;22:153-7
pubmed: 26726950
J Athl Train. 2013 Mar-Apr;48(2):186-91
pubmed: 23672382
J Sport Rehabil. 2018 May 1;27(3):201-212
pubmed: 28290752
J Sports Sci. 2012;30(5):471-7
pubmed: 22292430
J Appl Physiol (1985). 2001 Mar;90(3):1036-40
pubmed: 11181617
J Appl Physiol (1985). 2009 Jul;107(1):359; discussion 367-8
pubmed: 19567809
J Orthop Res. 2004 Jul;22(4):768-73
pubmed: 15183432
Am J Sports Med. 2015 Jul;43(7):1662-9
pubmed: 25883169
Knee Surg Sports Traumatol Arthrosc. 2017 Jan;25(1):172-183
pubmed: 27665093
J Strength Cond Res. 2014 Feb;28(2):381-9
pubmed: 23669820
Knee. 2014 Jun;21(3):736-42
pubmed: 24618459
J Appl Physiol (1985). 2009 Jul;107(1):363-4; discussion 367-8
pubmed: 19670480
J Athl Train. 2015 Jun;50(6):665-74
pubmed: 25844855
J Neurosci Methods. 1988 Sep;25(2):97-102
pubmed: 3172828
Rheum Dis Clin North Am. 1999 May;25(2):283-98, vi
pubmed: 10356418
J Biomech. 2005 Apr;38(4):685-93
pubmed: 15713288
J Sports Sci. 2009 Jun;27(8):873-9
pubmed: 19449251
J Orthop Res. 2016 Sep;34(9):1656-62
pubmed: 26763833
Muscle Nerve. 2001 Jul;24(7):925-34
pubmed: 11410920
Sports Health. 2015 May;7(3):231-8
pubmed: 26131300
Eur J Appl Physiol. 2011 Oct;111(10):2489-500
pubmed: 21590274
J Physiol. 1954 Mar 29;123(3):553-64
pubmed: 13152698
J Electromyogr Kinesiol. 2017 Oct;36:8-15
pubmed: 28649011
J Sports Sci. 1998 Apr;16(3):281-9
pubmed: 9596363
Exp Brain Res. 2019 May;237(5):1267-1278
pubmed: 30852644
Med Sci Sports Exerc. 1999 Dec;31(12):1691-6
pubmed: 10613416
Clin Physiol Funct Imaging. 2008 Jul;28(4):251-61
pubmed: 18355344
J Orthop Sports Phys Ther. 2012 Jun;42(6):502-10
pubmed: 22523081
Muscle Nerve. 2010 Jun;41(6):868-74
pubmed: 20229578
J Appl Physiol (1985). 2015 Aug 1;119(3):223-31
pubmed: 25997949
J Bone Joint Surg Br. 2001 Nov;83(8):1104-10
pubmed: 11764420
J Rehabil Med. 2009 Apr;41(5):317-21
pubmed: 19363562
J Athl Train. 2010 Jan-Feb;45(1):87-97
pubmed: 20064053
J Athl Train. 2018 Apr;53(4):337-346
pubmed: 29667429
J Athl Train. 2017 May;52(5):422-428
pubmed: 28388231
J Orthop Sports Phys Ther. 2015 Dec;45(12):1017-25
pubmed: 26471854
Muscle Nerve. 1996 Jul;19(7):861-9
pubmed: 8965840
J Sport Rehabil. 2013 Feb;22(1):1-6
pubmed: 22951289
J Orthop Res. 2004 Sep;22(5):925-30
pubmed: 15304261
Muscle Nerve. 2000 Nov;23(11):1706-12
pubmed: 11054749
Muscle Nerve. 2006 Dec;34(6):740-6
pubmed: 17013889
Clin Biomech (Bristol, Avon). 2002 Jan;17(1):56-63
pubmed: 11779647
Med Sci Sports Exerc. 2016 Sep;48(9):1671-7
pubmed: 27054675
Exerc Sport Sci Rev. 2009 Jul;37(3):147-53
pubmed: 19550206
Knee Surg Sports Traumatol Arthrosc. 2016 Jan;24(1):236-46
pubmed: 25315083
Sports Med. 2004;34(4):253-67
pubmed: 15049717
Med Sci Sports Exerc. 2016 Sep;48(9):1664-70
pubmed: 27128669
J Athl Train. 2015 Mar;50(3):303-12
pubmed: 25622244
Muscle Nerve. 2009 Jul;40(1):130-3
pubmed: 19533648
Eur J Appl Physiol. 2009 Jul;106(5):769-74
pubmed: 19396616
Knee. 2013 Jun;20(3):208-12
pubmed: 23022031
J Orthop Res. 2011 May;29(5):633-40
pubmed: 21246615
Muscle Nerve. 2004 Jun;29(6):834-42
pubmed: 15170616