During locomotion, muscles generate force and perform work in order to support and accelerate the body, and the activity of the lower-limb muscles accounts for most of the metabolic energy cost needed to walk or run (Kram and Taylor, 1990; Kram, 2000; Dickinson et al., 2000). Running is characterized by a spring-like interaction of the body with the ground, indicating a significant conversion of the body’s kinetic and potential energy to strain energy - via the elongation of elastic elements, mainly tendons - that can be recovered in the propulsive second half of the stance phase (Dickinson et al., 2000; Roberts and Azizi, 2011; Cavagna et al., 1964). In addition, the elasticity of tendons influences the operating conditions of the muscles, which in turn are associated with their metabolic cost (Roberts, 2002). For a given muscle force, the metabolic cost depends on the muscle’s operating force-length and force-velocity potential (Bohm et al., 2019; Bohm et al., 2018; Nikolaidou et al., 2017) (fraction of maximum force according to the force-length [Gordon et al., 1966] and force-velocity [Hill, 1938] curves) because it determines the number of recruited muscle fibers and thus the active muscle volume (Roberts, 2002). This means that quasi isometric contractions close the optimum of the force-length curve, that is, with a high force-length-velocity potential, are theoretically most economical for generating a given force. During steady-state running, however, the human system does not perfectly conserve all the mechanical energy in each stride. Therefore, muscular work by active muscle shortening is needed to maintain the running movement, yet it increases the metabolic cost a) due to the reduced force-velocity potential, which will increase the active muscle volume for a given force (Roberts and Azizi, 2011), and b) due to the higher metabolic energy consumption of each fiber when actively shortening (Smith et al., 2005; He et al., 2000). The active shorting range and velocity of a muscle during movements can be reduced by its tendon and, thus, an important benefit of tendon elasticity is a reduction in the metabolic cost of running.

At the muscle level, it has been shown that the triceps surae muscle group produces muscular work/energy during the stance phase of steady-state running (Lai et al., 2014). The soleus is the largest muscle in this group (Albracht et al., 2008) and does work by active shortening throughout the entire stance phase (Bohm et al., 2019; Bohm et al., 2021). In the first part of the stance phase, the performed muscular work is stored in the Achilles tendon as elastic strain energy. During the later propulsion phase, the tendon strain energy recoil contributes to the muscular energy production, suggesting an energy amplification behavior (Roberts and Azizi, 2011) within the triceps surae muscle-tendon unit (MTU) during running. On the contrary, the vastus lateralis muscle, as the largest muscle of the quadriceps femoris muscle group (Mersmann et al., 2015), operates nearly isometrically despite a lengthening-shortening behavior of the vastus lateralis MTU (Bohm et al., 2018; Monte et al., 2020). The almost isometric contraction suggests a negligible mechanical work production by the vastus lateralis during running and a spring-like energy exchange between body and vastus lateralis MTU, which promotes energy conservation (Dickinson et al., 2000; Roberts and Azizi, 2011).

The triceps surae and the quadriceps muscle group are considered to be crucial for running performance (Arampatzis et al., 2006; Hamner and Delp, 2013). The quadriceps femoris decelerates and supports the body early in stance while the triceps surae accounts for the propulsion later in the stance phase (Dorn et al., 2012; Santuz et al., 2020; Hamner and Delp, 2013). The soleus and vastus lateralis, as the largest muscles of both muscle groups, show marked differences in their morphological and architectural properties with shorter fascicles and higher pennation angles in the soleus (Bohm et al., 2019; Maganaris et al., 1998) compared to vastus lateralis (Bohm et al., 2018; Marzilger et al., 2018). Because of the long fascicles of the vastus lateralis, a unit of force generated by this muscle is metabolically more expensive (Biewener and Roberts, 2000) compared to the soleus. Our previous findings (Bohm et al., 2018) suggest that the vastus lateralis operates at a high force-length-velocity potential during running, which would indicate a fascicle contraction condition that could minimize the energetic cost of muscle force generation. The soleus muscle instead operates as a muscular work generator through active shortening, though close to the optimum of the force-length curve. Operating with increasing shortening velocity decreases the force-velocity potential according to the force-velocity relationship (Bohm et al., 2019; Bohm et al., 2021) and may increase the energetic cost of muscle force generation, marking a trade-off between mechanical work production and metabolic expenses. The enthalpy efficiency (Barclay, 2015) (or mechanical efficiency; Hill, 1939; Hill, 1964) quantifies the fraction of chemical energy from ATP hydrolysis that is converted into mechanical work and depends on the shortening velocity, with a steep increase at low shortening velocities up to a maximum at around 20% of the maximum shortening velocity (V_max) and a decrease thereafter (Hill, 1939; Barclay et al., 1993; Hill, 1964). Previous findings suggest that the soleus fascicles continuously shorten at a moderate velocity during the stance phase of running (Bohm et al., 2019), covering a range that corresponds to a high efficiency. Therefore, the soleus muscle may operate at fascicle conditions that would be beneficial for economical work/energy production.

The muscle fascicle behavior is strongly influenced by the decoupling of the fascicles from the MTU excursions due to tendon elasticity and fascicle rotation (Azizi et al., 2008; Alexander, 1991; Zuurbier and Huijing, 1992; Wakeling et al., 2011). The previously reported decoupling of the soleus muscle indicates that tendon elasticity and fascicle rotation affect the operating fascicle length and velocity during running (Bohm et al., 2019; Werkhausen et al., 2019); however, their integration in the regulation of the efficiency-fascicle velocity dependency is unclear. Regarding the vastus lateralis muscle, it was suggested that proximal muscles like the knee extensors feature less compliant tendons compared to the distal triceps surae muscles, thus limiting the decoupling between fascicles and MTU (Farris and Sawicki, 2012; Biewener and Daley, 2007; Biewener, 2016). However, in our previous study, we found significantly smaller vastus lateralis fascicle length changes compared to the vastus lateralis MTU (Bohm et al., 2018), indicating an important decoupling within the vastus lateralis MTU due to tendon elasticity.

The purpose of this study was to assess the soleus and the vastus lateralis fascicle behavior with regard to the operating force-length-velocity potential and enthalpy efficiency to investigate physiological mechanisms for muscle work production and muscle force generation during running. The soleus muscle actively shortens during the stance phase at moderate velocities, which may match the plateau of the enthalpy efficiency-velocity curve, and operates close to the optimum of the force-length curve. Therefore, we hypothesized that the soleus muscle as a work generator operates at a high force-length potential and a high enthalpy efficiency, minimizing the metabolic cost of work production. On the other hand, the vastus lateralis muscle that promotes energy conservation seems to operate at a favorable length and almost isometrically. Thus, we hypothesized a high force-length and a high force-velocity potential that would reduce the metabolic energy cost of muscle force generation. In order to investigate the regulation of the efficiency and force potentials, we further quantified the length and velocity-decoupling of the fascicles from the MTU as well as the electromyographic (EMG) activity. Because of experimental constrains, the two muscles were measured in two groups, respectively.

There were no significant differences in the anthropometric characteristics between groups (age p=0.369, height p=0.536, body mass p=0.057). The experimentally assessed optimal fascicle length for force generation (L₀) of the soleus was on average 41.3 ± 5.2 mm and significantly shorter than L₀ of the vastus lateralis with 94.0 ± 11.6 mm (p<0.001). The forces that corresponded to L₀ of soleus and vastus lateralis (F_max) were 2887 ± 724 N and 4990 ± 914 N (p<0.001), respectively. Furthermore, the assessed V_max was 279 ± 35 mm/s for the soleus, significantly lower than the V_max of the vastus lateralis with 1082 ± 133 mm/s (p<0.001).

The stance and swing times during running were 304 ± 23 ms and 439 ± 26 ms for the soleus group and 290 ± 22 ms and 448 ± 30 ms for the vastus lateralis group (p=0.075, p=0.369). The EMG comparison showed that the soleus was active throughout the entire stance phase of running while the vastus lateralis was mainly active in the first part of the stance and with an earlier peak of activation (soleus 41 ± 5% of the stance phase, vastus lateralis 35 ± 4% of the stance phase, p<0.001, Figure 1). During the stance phase, the MTU of both muscles showed a lengthening-shortening behavior, but the vastus lateralis MTU started to shorten earlier (soleus 59 ± 2% of the stance phase, vastus lateralis 50 ± 2% of the stance phase, p<0.001, Figure 1). The soleus and the vastus lateralis fascicle length were clearly decoupled from the MTU length with smaller operating length ranges throughout the whole stance phase (Figure 1). The soleus fascicles operated at a length close to L₀ at touchdown and then shortened continuously until the foot lift-off (0.994–0.752 L/L₀, Figure 1). The operating length of the vastus lateralis fascicles remained closely above L₀ over the entire stance phase and was on average significantly longer compared to the soleus fascicles (soleus 0.899 ± 0.104 L/L₀, vastus lateralis 1.054 ± 0.082 L/L₀, p<0.001, Figure 1).

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The stance phase-averaged force-length potential of both muscles was high and not significantly different (p=0.689, Figure 2). The average pennation angle of the soleus was significantly greater than that of the vastus lateralis (soleus 23.9 ± 5.1°, vastus lateralis 13.3 ± 1.8°, p<0.001) and increased continuously throughout stance, whereas it remained almost unchanged in the vastus lateralis (Figure 1). The average operating velocity of the soleus fascicles was significantly higher compared to the vastus lateralis (soleus 0.799 ± 0.260 L₀/s, vastus lateralis 0.084 ± 0.258 L₀/s, p<0.001), which showed an almost isometric contraction throughout stance. Consequently, the force-velocity potential (p<0.001) and thus the overall force-length-velocity potential (p<0.001) of the soleus was significantly lower compared to the vastus lateralis during the stance phase (Figure 2). However, the higher shortening velocity of the soleus was close to the optimum for maximum enthalpy efficiency, leading to a significantly higher enthalpy efficiency over the stance phase in comparison to the vastus lateralis (p<0.001, Figure 3).

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The fascicle, muscle belly, and MTU length changes throughout stance as well as the resulting velocity decoupling coefficients (DC) are illustrated in Figure 4 for both muscles, where DC_Tendon quantifies the decoupling due to tendon compliance, DC_Belly due to fascicle rotation, and DC_MTU the overall decoupling of MTU and fascicles. There was a clear length and velocity-decoupling of MTU and belly due to tendon compliance in both muscles (Figure 4). The statistical parametric mapping (SPM) analysis revealed a significantly lower DC_Tendon of the soleus compared to the vastus lateralis between 4% and 8% of the stance phase (p=0.032) since decoupling started later for the soleus. Between 20% and 57% of the stance phase (p<0.001) and between 65% of the stance phase until lift-off, the soleus DC_Tendon was significantly higher than vastus lateralis (p<0.001, Figure 4). The DC_Tendon averaged over the stance phase of the soleus was also significantly greater (p<0.001, Table 1). Furthermore, the velocity-decoupling of muscle belly and fascicles due to fascicle rotation progressively increased in the second part of the stance phase for the soleus but was negligible for the vastus lateralis (Figure 4). The soleus DC_Belly was significantly higher from 33% of the stance phase until lift-off compared to the vastus lateralis as shown by the SPM analysis (p<0.001, Figure 4) but also when averaged over the entire stance phase (p<0.001, Table 1). DC_Belly was markedly lower than DC_Tendon, indicating that the tendon took over the majority of the overall decoupling in both muscles (Figure 4). Accordingly and similarly to DC_Tendon, the SPM analysis for the overall decoupling of MTU and fascicles showed that DC_MTU of the soleus was significantly lower between 4% and 8% of the stance phase (p=0.032) and significantly higher from 20% to 57% of the stance phase and from 65% of the stance phase until lift-off compared to the vastus lateralis (p<0.001, Figure 4). The stance phase-averaged DC_MTU of the soleus was significantly greater compared to the vastus lateralis as well (p<0.001, Table 1).

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We mapped the operating length and velocity of the soleus and the vastus lateralis fascicles during running onto the individual force-length, force-velocity, and enthalpy efficiency-velocity curves in order to investigate physiological mechanisms for muscle force generation and muscle work production in the two muscles. The soleus continuously shortened throughout the stance phase and produced muscular work at a shortening velocity close to the enthalpy efficiency optimum. Vastus lateralis operated with smaller length changes, almost isometrically, resulting in a high force-velocity potential, which is beneficial for economic force generation. Both muscles operated close to L₀, that is, at a high force-length potential. Tendon compliance was responsible for the majority of the overall decoupling of MTU and fascicles in both muscles, enabling favorable conditions for muscle force or muscle work production. Only in the soleus muscle did fascicle rotation contribute to the overall decoupling, indicating an additional, yet comparatively minor effect on the fascicle dynamics during locomotion.

The triceps surae and quadriceps muscle groups are the main contributors for locomotion and thus responsible for a great portion of the metabolic energy cost of running (Farris and Sawicki, 2012; Fletcher and MacIntosh, 2015; Uchida et al., 2016; Hamner and Delp, 2013). While the quadriceps mainly decelerates and supports body mass in the early stance phase, the triceps surae contributes to the acceleration of the center of mass during the second part of the stance phase (Dorn et al., 2012; Hamner and Delp, 2013). The soleus is the largest muscle of the triceps surae (Albracht et al., 2008) and the vastus lateralis of the quadriceps (Mersmann et al., 2015) and thus both muscles are important for the running movement. We found that the soleus actively shortened throughout the entire stance phase, indicating continuous work/energy production. The average velocity at which the soleus shortened was very close to the optimal velocity for maximal enthalpy efficiency. Enthalpy efficiency quantifies the fraction of chemical energy from ATP hydrolysis that is converted into mechanical muscular work (Hill, 1964; Barclay, 2015) with a peak at around 20% of V_max (Hill, 1939; Barclay et al., 1993). Consequently, the mechanical work performed by the soleus muscle, being essential during running (Arampatzis et al., 1999; Stefanyshyn and Nigg, 1998; Hamner and Delp, 2013; Lai et al., 2015) and high enough in magnitude to significantly influence the overall metabolic energy cost of locomotion (Bohm et al., 2019; Sawicki et al., 2020; Beck et al., 2019), was generated at a high enthalpy efficiency (94% of maximum efficiency). Considering that also the soleus force-length potential was close to the maximum (0.92) and that a high potential may decrease the active muscle volume for a given muscle force (Beck et al., 2019; Biewener and Roberts, 2000; Fletcher and MacIntosh, 2017), our results provide evidence of a cumulative contribution of two different mechanisms (high force-length potential and high enthalpy efficiency) to an advantageous muscular work production of the soleus during running. The vastus lateralis was mainly active in the first part of the stance phase and its fascicles operated with very small length changes, that is, almost isometrically, confirming earlier reports (Bohm et al., 2018; Monte et al., 2020). This indicates that the vastus lateralis dissipates and/or produces negligible amounts of mechanical energy during running, yet generating force for the deceleration and support of the body mass. The observed decoupling of the vastus lateralis MTU and fascicles showed that the deceleration of the body mass in the early stance phase was not a result of an energy dissipation by the contractile element (active stretch) but rather an energy absorption by the tendinous tissue. Tendons feature low damping characteristics, resulting in a hysteresis of only 10% (Pollock and Shadwick, 1994; Bennett et al., 1986), and, therefore, the main part of the absorbed energy of the body’s deceleration is expected to be stored as elastic tendon strain energy, which is then returned later in the second part of the stance phase. The high force-length (0.93) and force-velocity (0.96) potential of the vastus lateralis muscle throughout stance indicates an energy exchange within the vastus lateralis MTU under almost optimal conditions for muscle force generation during running. Operating at high potentials reduces the active muscle volume for a given force (Biewener and Roberts, 2000; Fletcher and MacIntosh, 2017) and thus the metabolic energy cost of muscle force generation.

By actively shortening the soleus delivered energy during the entire stance phase to the skeleton, providing the main muscular work required for running. On the other side, the contractile elements of the vastus lateralis muscle did not contribute to the required muscular work and operated in concert with the elastic tendon in favor of energy storage (Roberts and Azizi, 2011). Our findings showed that, although the human body interacts with the ground in a spring-like manner during steady-state running to store mechanical energy (Dickinson et al., 2000; Roberts and Azizi, 2011), there are indeed muscles that operate as work generators, like the soleus, and others that promote energy conservations, like the vastus lateralis. Further, our results indicate that the fascicle operating length and velocity of the soleus muscle, the main work generator, is optimized for high enthalpy efficiency, while of the vastus lateralis muscle, which promote energy conservation, for a high potential of force generation. The consequence of the active shortening of the soleus muscle for work production is a decrease of the force-velocity potential during the stance phase, which may increase the active muscle volume and shortening-related cost (Hill, 1938; Fenn, 1924; Smith et al., 2005; He et al., 2000). However, the soleus muscle features shorter fascicles (L₀ = 41 mm) compared to the vastus lateralis muscle (L₀ = 94 mm), and, for this reason, a given force generated by the soleus is energetically less expensive (Biewener and Roberts, 2000). The specific morphology of the soleus muscle certainly compensates for the reductions of the force-velocity potential and provides advantages for its function as work generator during submaximal steady-state running. Furthermore, operating around the ‘sweet spot’ of the shortening velocity for high enthalpy efficiency facilitates the economical muscular work production, while either a too high or a too low shortening velocity would be disadvantageous. The advantageous operating conditions specific for soleus and vastus lateralis during submaximal running shown here for a moderate speed of 2.5 m/s seem to persist at faster running speeds as well. This is indicated by recent evidence of a comparable muscle operating length and velocity of the soleus (Lai et al., 2015) and vastus lateralis (Monte et al., 2020) over a broad range of running speeds, respectively. In addition, the operating behavior of both muscles seems to reflect their respective muscle group. The gastrocnemius muscles, as the second largest plantar flexors, have been shown to operate at a length similar to soleus and only at slightly higher velocities (Lai et al., 2018), suggesting efficient work production too. For the other monoarticular knee extensors, vastus medialis and intermedius, the resting fascicle length is about similar to the vastus lateralis (Ward et al., 2009), and, since they share the same single patellar tendon, we also do not expect that those muscles operate substantially different (Arnold et al., 2013), that is, likewise at a high force potential.

The almost optimal conditions for muscular work production and muscle force generation of the soleus and vastus lateralis were a result of an effective decoupling between MTU and fascicle length that was regulated by an appropriate muscle activation. For the soleus, the activation level increased in the first part of stance phase, contracting the muscle while the MTU increased in length. This activation pattern not only prevented the muscle to be stretched but also induced continuous shortening around the plateau of the force-length curve at a high enthalpy efficiency. The respective high DC_Tendon further indicates that a part of the body’s mechanical energy was stored as strain energy in the Achilles tendon in addition to the generated work by fascicle shortening. During MTU shortening (propulsion phase), the soleus EMG activity decreased and the tendon recoiled, enabling the high shortening velocities of the MTU while maintaining the fascicle operating conditions close to the efficiency optimum. The simultaneous release of the stored strain energy from the tendon further added to the ongoing muscle work production, that is, energy amplification. The vastus lateralis muscle showed higher levels of activation during the initial part of the stance phase and earlier deactivation than soleus. The timing and level of activation regulated the decoupling within the vastus lateralis MTU during the body mass deceleration in a magnitude that the lengthening and shorting of the MTU was fully accomplished by the tendinous tissue. Consequently, the vastus lateralis fascicles operated at a high force-length-velocity potential and the body’s energy was stored within the MTU. Although being substantial for soleus and vastus lateralis, the SPM analysis revealed higher values of DC_Tendon for soleus during the major part of the stance phase (average value for soleus 0.57 V/V_max and vastus lateralis 0.18 V/V_max), indicating a greater decoupling within the soleus MTU compared to the vastus lateralis MTU. In the soleus muscle, fascicle rotation (changes in pennation angle) had an additional effect on the overall decoupling between MTU and fascicles. The results showed an increase in DC_Belly in the second part of the stance phase where the soleus belly velocity was high during the MTU shortening. However, the decoupling by the fascicle rotation was considerably smaller compared to the tendon decoupling. Over the stance phase, belly and tendon decoupling were 1.6% V_max and 57% V_max and during the MTU shortening phase 2.6% V_max and 72% V_max, respectively, suggesting a rather minor functional role of fascicle rotation during submaximal running. In the vastus lateralis, fascicle rotation was virtually absent and consequently DC_Belly values showed no relevant decoupling effect at all.

Note that because of the extensive experimental protocol for each muscle it was not possible to measure soleus and vastus lateralis in the same participants. However, both groups are a representative sample and no significant differences were found in anthropometrics and relevant gait parameters. Furthermore, for the determination of the vastus lateralis force-length curve, the muscle was not isolated, hence the curve also includes the contribution of the vastus medialis and intermedius. The underlying assumption for this approach is that the force-length curves of these three synergistic knee extensors are comparable, which is supported by the study of Herzog et al. (Herzog et al., 1990). Besides, it is currently not possible to measure enthalpy efficiency directly during running. Instead, we used an experimentally determined efficiency-velocity curve reported by Hill (Hill, 1964) and confirmed by others (Barclay et al., 2010) to relate the measured operating fascicle velocities of both muscles to the enthalpy efficiency. We were also not able to directly measure V_max of both muscles and despite using a biologically funded value, its choice affects the force-velocity potential and enthalpy efficiency. However, when conducting a sensitivity analysis by substantially reducing or increasing V_max by 30%, the force-velocity potential of vastus lateralis only changed for V_max -30% and V_max +30 % from 0.96 to 0.94 and 0.98 and of soleus from 0.63 to 0.52 and 0.65 while the enthalpy efficiency changed from 0.082 to 0.081 and 0.016 for vastus lateralis and from 0.425 to 0.439 and 0.403 for soleus, respectively, without an impact on the significance of the differences between muscles (potential p<0.001, efficiency p<0.001). These results support the robustness of our primary outcomes and strengthen our conclusions.

In conclusion, the present study demonstrated that during the stance phase of steady-state running, when the human body interacts with the environment in a spring-like manner, the soleus muscle acts as work generator and the vastus lateralis muscle as energy conservator. Furthermore, our findings provide evidence that the soleus operates under conditions optimal for muscular work production (i.e., high force-length potential and high enthalpy efficiency) and the vastus lateralis under conditions optimal for muscle force generation (i.e., high force-length and high force-velocity potential).

The final processed data can be found at: https://doi.org/10.6084/m9.figshare.14046749.

1. 1. Bohm S
   2. Mersmann F
   3. Santuz A
   4. Schroll A
   5. Arampatzis A

   (2021) figshare

   Data_Muscle-specific economy of force generation and efficiency of work production during human running.

   https://doi.org/10.6084/m9.figshare.14046749

1. 1. Albracht K
   2. Arampatzis A
   3. Baltzopoulos V

   (2008) Assessment of muscle volume and physiological cross-sectional area of the human triceps Surae muscle in vivo

   Journal of Biomechanics 41:2211–2218.

   https://doi.org/10.1016/j.jbiomech.2008.04.020

   • PubMed
   • Google Scholar
2. 1. Alexander RM

   (1991)

   Energy-saving mechanisms in walking and running

   The Journal of Experimental Biology 160:55–69.

   • Google Scholar
3. 1. An KN
   2. Takahashi K
   3. Harrigan TP
   4. Chao EY

   (1984) Determination of muscle orientations and moment arms

   Journal of Biomechanical Engineering 106:280–282.

   https://doi.org/10.1115/1.3138494

   • PubMed
   • Google Scholar
4. 1. Arampatzis A
   2. Brüggemann GP
   3. Metzler V

   (1999) The effect of speed on leg stiffness and joint kinetics in human running

   Journal of Biomechanics 32:1349–1353.

   https://doi.org/10.1016/S0021-9290(99)00133-5

   • PubMed
   • Google Scholar
5. 1. Arampatzis A
   2. Karamanidis K
   3. De Monte G
   4. Stafilidis S
   5. Morey-Klapsing G
   6. Brüggemann GP

   (2004) Differences between measured and resultant joint moments during voluntary and artificially elicited isometric knee extension contractions

   Clinical Biomechanics 19:277–283.

   https://doi.org/10.1016/j.clinbiomech.2003.11.011

   • Google Scholar
6. 1. Arampatzis A
   2. Morey-Klapsing G
   3. Karamanidis K
   4. DeMonte G
   5. Stafilidis S
   6. Brüggemann GP

   (2005) Differences between measured and resultant joint moments during isometric contractions at the ankle joint

   Journal of Biomechanics 38:885–892.

   https://doi.org/10.1016/j.jbiomech.2004.04.027

   • PubMed
   • Google Scholar
7. 1. Arampatzis A
   2. De Monte G
   3. Karamanidis K
   4. Morey-Klapsing G
   5. Stafilidis S
   6. Brüggemann G-P

   (2006) Influence of the muscle-tendon unit’s mechanical and morphological properties on running economy

   The Journal of Experimental Biology 209:3345–3357.

   https://doi.org/10.1242/jeb.02340

   • PubMed
   • Google Scholar
8. 1. Arnold EM
   2. Hamner SR
   3. Seth A
   4. Millard M
   5. Delp SL

   (2013) How muscle fiber lengths and velocities affect muscle force generation as humans walk and run at different speeds

   The Journal of Experimental Biology 216:2150–2160.

   https://doi.org/10.1242/jeb.075697

   • PubMed
   • Google Scholar
9. 1. Azizi E
   2. Brainerd EL
   3. Roberts TJ

   (2008) Variable gearing in pennate muscles

   PNAS 105:1745–1750.

   https://doi.org/10.1073/pnas.0709212105

   • PubMed
   • Google Scholar
10. 1. Barclay CJ
    2. Constable JK
    3. Gibbs CL

    (1993) Energetics of fast- and slow-twitch muscles of the mouse

    The Journal of Physiology 472:61–80.

    https://doi.org/10.1113/jphysiol.1993.sp019937

    • PubMed
    • Google Scholar
11. 1. Barclay CJ
    2. Woledge RC
    3. Curtin NA

    (2010) Is the efficiency of mammalian (mouse) skeletal muscle temperature dependent?

    The Journal of Physiology 588:3819–3831.

    https://doi.org/10.1113/jphysiol.2010.192799

    • PubMed
    • Google Scholar
12. 1. Barclay CJ

    (2015) Energetics of contraction

    Comprehensive Physiology 5:961–995.

    https://doi.org/10.1002/cphy.c140038

    • PubMed
    • Google Scholar
13. 1. Beck ON
    2. Punith LK
    3. Nuckols RW
    4. Sawicki GS

    (2019) Exoskeletons improve locomotion economy by reducing active muscle volume

    Exercise and Sport Sciences Reviews 47:237–245.

    https://doi.org/10.1249/JES.0000000000000204

    • PubMed
    • Google Scholar
14. 1. Bennett MB
    2. Ker RF
    3. Imery NJ
    4. Alexander1 RMcN

    (1986) Mechanical properties of various mammalian tendons

    Journal of Zoology 209:537–548.

    https://doi.org/10.1111/j.1469-7998.1986.tb03609.x

    • Google Scholar
15. 1. Biewener AA
    2. Roberts TJ

    (2000)

    Muscle and tendon contributions to force, work, and elastic energy savings: A comparative perspective

    Exercise and Sport Sciences Reviews 28:99–107.

    • Google Scholar
16. 1. Biewener AA
    2. Daley MA

    (2007) Unsteady locomotion: Integrating muscle function with whole body dynamics and neuromuscular control

    The Journal of Experimental Biology 210:2949–2960.

    https://doi.org/10.1242/jeb.005801

    • PubMed
    • Google Scholar
17. 1. Biewener AA

    (2016) Locomotion as an emergent property of muscle contractile dynamics

    The Journal of Experimental Biology 219:285–294.

    https://doi.org/10.1242/jeb.123935

    • PubMed
    • Google Scholar
18. 1. Bohm S
    2. Marzilger R
    3. Mersmann F
    4. Santuz A
    5. Arampatzis A

    (2018) Operating length and velocity of human vastus lateralis muscle during walking and running

    Scientific Reports 8:5066.

    https://doi.org/10.1038/s41598-018-23376-5

    • PubMed
    • Google Scholar
19. 1. Bohm S
    2. Mersmann F
    3. Santuz A
    4. Arampatzis A

    (2019) The force-length-velocity potential of the human soleus muscle is related to the energetic cost of running

    Proceedings. Biological Sciences 286:20192560.

    https://doi.org/10.1098/rspb.2019.2560

    • PubMed
    • Google Scholar
20. 1. Bohm S
    2. Mersmann F
    3. Santuz A
    4. Arampatzis A

    (2021) Enthalpy efficiency of the soleus muscle contributes to improvements in running economy

    Proceedings. Biological Sciences 288:20202784.

    https://doi.org/10.1098/rspb.2020.2784

    • PubMed
    • Google Scholar
21. 1. Cavagna GA
    2. Saibene FP
    3. Margaria R

    (1964) Mechanical work in running

    Journal of Applied Physiology 19:249–256.

    https://doi.org/10.1152/jappl.1964.19.2.249

    • PubMed
    • Google Scholar
22. 1. Dickinson MH
    2. Farley CT
    3. Full RJ
    4. Koehl MA
    5. Kram R
    6. Lehman S

    (2000) How animals move: An integrative view

    Science 288:100–106.

    https://doi.org/10.1126/science.288.5463.100

    • PubMed
    • Google Scholar
23. 1. Dorn TW
    2. Schache AG
    3. Pandy MG

    (2012) Muscular strategy shift in human running: Dependence of running speed on hip and ankle muscle performance

    The Journal of Experimental Biology 215:1944–1956.

    https://doi.org/10.1242/jeb.064527

    • PubMed
    • Google Scholar
24. 1. Edgerton VR
    2. Smith JL
    3. Simpson DR

    (1975) Muscle fibre type populations of human leg muscles

    Histochem. J 7:259–266.

    https://doi.org/10.1007/BF01003594

    • PubMed
    • Google Scholar
25. 1. Farris DJ
    2. Sawicki GS

    (2012) The mechanics and energetics of human walking and running: a joint level perspective

    J. R. Soc. Interface 9:110–118.

    https://doi.org/10.1098/rsif.2011.0182

    • PubMed
    • Google Scholar
26. 1. Fellin RE
    2. Rose WC
    3. Royer TD
    4. Davis IS

    (2010) Comparison of methods for kinematic identification of footstrike and toe-off during overground and treadmill running

    Journal of Science and Medicine in Sport 13:646–650.

    https://doi.org/10.1016/j.jsams.2010.03.006

    • PubMed
    • Google Scholar
27. 1. Fenn WO

    (1924) The relation between the work performed and the energy liberated in muscular contraction

    The Journal of Physiology 58:373–395.

    https://doi.org/10.1113/jphysiol.1924.sp002141

    • PubMed
    • Google Scholar
28. 1. Fletcher JR
    2. MacIntosh BR

    (2015) Achilles tendon strain energy in distance running: Consider the muscle energy cost

    Journal of Applied Physiology 118:193–199.

    https://doi.org/10.1152/japplphysiol.00732.2014

    • PubMed
    • Google Scholar
29. 1. Fletcher JR
    2. MacIntosh BR

    (2017) Running economy from a muscle energetics perspective

    Frontiers in Physiology 8:433.

    https://doi.org/10.3389/fphys.2017.00433

    • PubMed
    • Google Scholar
30. 1. Fukunaga T
    2. Kubo K
    3. Kawakami Y
    4. Fukashiro S
    5. Kanehisa H
    6. Maganaris CN

    (2001) In vivo behaviour of human muscle tendon during walking

    Proceedings. Biological Sciences 268:229–233.

    https://doi.org/10.1098/rspb.2000.1361

    • PubMed
    • Google Scholar
31. 1. Giannakou E
    2. Aggeloussis N
    3. Arampatzis A

    (2011) Reproducibility of gastrocnemius medialis muscle architecture during treadmill running

    Journal of Electromyography and Kinesiology 21:1081–1086.

    https://doi.org/10.1016/j.jelekin.2011.06.004

    • Google Scholar
32. 1. Gordon AM
    2. Huxley AF
    3. Julian FJ

    (1966) The variation in isometric tension with sarcomere length in vertebrate muscle fibres

    The Journal of Physiology 184:170–192.

    https://doi.org/10.1113/jphysiol.1966.sp007909

    • PubMed
    • Google Scholar
33. 1. Hamner SR
    2. Delp SL

    (2013) Muscle contributions to fore-aft and vertical body mass center accelerations over a range of running speeds

    Journal of Biomechanics 46:780–787.

    https://doi.org/10.1016/j.jbiomech.2012.11.024

    • PubMed
    • Google Scholar
34. 1. Hawkins D
    2. Hull ML

    (1990) A method for determining lower extremity muscle-tendon lengths during flexion/extension movements

    Journal of Biomechanics 23:487–494.

    https://doi.org/10.1016/0021-9290(90)90304-L

    • PubMed
    • Google Scholar
35. 1. He ZH
    2. Bottinelli R
    3. Pellegrino MA
    4. Ferenczi MA
    5. Reggiani C

    (2000) ATP consumption and efficiency of human single muscle fibers with different myosin isoform composition

    Biophysical Journal 79:945–961.

    https://doi.org/10.1016/S0006-3495(00)76349-1

    • PubMed
    • Google Scholar
36. 1. Herzog W
    2. Abrahamse SK
    3. ter Keurs HE

    (1990) Theoretical determination of force-length relations of intact human skeletal muscles using the cross-bridge model

    Pflugers Archiv 416:113–119.

    https://doi.org/10.1007/BF00370231

    • PubMed
    • Google Scholar
37. 1. Herzog W
    2. Read LJ

    (1993)

    Lines of action and moment arms of the major force-carrying structures crossing the human knee joint

    Journal of Anatomy 182:213–230.

    • Google Scholar
38. 1. Hill AV

    (1938) The heat of shortening and the dynamic constants of muscle

    Proceedings of the Royal Society of London. Series B - Biological Sciences 126:136–195.

    https://doi.org/10.1098/rspb.1938.0050

    • Google Scholar
39. 1. Hill AV

    (1939) The mechanical efficiency of frog’s muscle

    Proceedings of the Royal Society of London. Series B - Biological Sciences 127:434–451.

    https://doi.org/10.1098/rspb.1939.0033

    • Google Scholar
40. 1. Hill AV

    (1964) The efficiency of mechanical power development during muscular shortening and its relation to load

    Proceedings of the Royal Society of London. Series B, Biological Sciences 159:319–324.

    https://doi.org/10.1098/rspb.1964.0005

    • PubMed
    • Google Scholar
41. 1. Hof AL
    2. van den Berg Jw

    (1977) Linearity between the weighted sum of the EMGs of the human triceps surae and the total torque

    J. Biomech 10:529–539.

    https://doi.org/10.1016/0021-9290(77)90033-1

    • PubMed
    • Google Scholar
42. 1. Johnson MA
    2. Polgar J
    3. Weightman D
    4. Appleton D

    (1973) Data on the distribution of fibre types in thirty-six human muscles

    Journal of the Neurological Sciences 18:111–129.

    https://doi.org/10.1016/0022-510x(73)90023-3

    • Google Scholar
43. 1. Kram R
    2. Taylor CR

    (1990) Energetics of running: a new perspective

    Nature 346:265–267.

    https://doi.org/10.1038/346265a0

    • PubMed
    • Google Scholar
44. 1. Kram R

    (2000)

    Muscular force or work: what determines the metabolic energy cost of running?

    Exercise and Sport Sciences Reviews 28:138–143.

    • Google Scholar
45. 1. Lai A
    2. Schache AG
    3. Lin YC
    4. Pandy MG

    (2014) Tendon elastic strain energy in the human ankle plantar-flexors and its role with increased running speed

    The Journal of Experimental Biology 217:3159–3168.

    https://doi.org/10.1242/jeb.100826

    • PubMed
    • Google Scholar
46. 1. Lai A
    2. Lichtwark GA
    3. Schache AG
    4. Lin YC
    5. Brown NAT
    6. Pandy MG

    (2015) In vivo behavior of the human soleus muscle with increasing walking and running speeds

    Journal of Applied Physiology 118:1266–1275.

    https://doi.org/10.1152/japplphysiol.00128.2015

    • Google Scholar
47. 1. Lai AKM
    2. Lichtwark GA
    3. Schache AG
    4. Pandy MG

    (2018) Differences in in vivo muscle fascicle and tendinous tissue behavior between the ankle plantarflexors during running

    Scandinavian Journal of Medicine & Science in Sports 28:1828–1836.

    https://doi.org/10.1111/sms.13089

    • Google Scholar
48. 1. Larsson L
    2. Moss RL

    (1993) Maximum velocity of shortening in relation to myosin isoform composition in single fibres from human skeletal muscles

    J. Physiol 472:595–614.

    https://doi.org/10.1113/jphysiol.1993.sp019964

    • PubMed
    • Google Scholar
49. 1. Luden N
    2. Minchev K
    3. Hayes E
    4. Louis E
    5. Trappe T
    6. Trappe S

    (2008) Human vastus lateralis and soleus muscles display divergent cellular contractile properties

    American Journal of Physiology. Regulatory, Integrative and Comparative Physiology 295:R1593–R1598.

    https://doi.org/10.1152/ajpregu.90564.2008

    • PubMed
    • Google Scholar
50. 1. Lutz GJ
    2. Rome LC

    (1996) Muscle function during jumping in frogs I Sarcomere length change, EMG pattern, and jumping performance

    Am. J. Physiol 271:C563–C570.

    https://doi.org/10.1152/ajpcell.1996.271.2.C563

    • PubMed
    • Google Scholar
51. 1. Mademli L
    2. Arampatzis A
    3. Morey-Klapsing G
    4. Brüggemann GP

    (2004) Effect of ankle joint position and electrode placement on the estimation of the antagonistic moment during maximal plantarflexion

    J. Electromyogr. Kinesiol 14:591–597.

    https://doi.org/10.1016/j.jelekin.2004.03.006

    • PubMed
    • Google Scholar
52. 1. Maganaris CN
    2. Baltzopoulos V
    3. Sargeant AJ

    (1998) In vivo measurements of the triceps surae complex architecture in man: implications for muscle function

    J. Physiol 512:603–614.

    https://doi.org/10.1111/j.1469-7793.1998.603be.x

    • PubMed
    • Google Scholar
53. 1. Marzilger R
    2. Legerlotz K
    3. Panteli C
    4. Bohm S
    5. Arampatzis A

    (2018) Reliability of a semi-automated algorithm for the vastus lateralis muscle architecture measurement based on ultrasound images

    Eur. J. Appl. Physiol 118:291–301.

    https://doi.org/10.1007/s00421-017-3769-8

    • PubMed
    • Google Scholar
54. 1. Mersmann F
    2. Bohm S
    3. Schroll A
    4. Boeth H
    5. Duda G
    6. Arampatzis A

    (2015) Muscle shape consistency and muscle volume prediction of thigh muscles

    Scandinavian Journal of Medicine & Science in Sports 25:e208–e213.

    https://doi.org/10.1111/sms.12285

    • PubMed
    • Google Scholar
55. 1. Monte A
    2. Baltzopoulos V
    3. Maganaris CN
    4. Zamparo P

    (2020) Gastrocnemius medialis and vastus lateralis in vivo muscle-tendon behavior during running at increasing speeds

    Scandinavian Journal of Medicine & Science in Sports 30:1163–1176.

    https://doi.org/10.1111/sms.13662

    • PubMed
    • Google Scholar
56. 1. Nikolaidou ME
    2. Marzilger R
    3. Bohm S
    4. Mersmann F
    5. Arampatzis A

    (2017) Operating length and velocity of human M. Vastus lateralis fascicles during vertical jumping

    Royal Society Open Science 4:170185.

    https://doi.org/10.1098/rsos.170185

    • PubMed
    • Google Scholar
57. 1. Pataky TC

    (2012) One-dimensional statistical parametric mapping in Python

    Comput. Methods Biomech. Biomed. Engin 15:295–301.

    https://doi.org/10.1080/10255842.2010.527837

    • PubMed
    • Google Scholar
58. 1. Pollock CM
    2. Shadwick RE

    (1994) Relationship between body mass and biomechanical properties of limb tendons in adult mammals

    Am. J. Physiol 266:R1016.

    https://doi.org/10.1152/ajpregu.1994.266.3.R1016

    • Google Scholar
59. 1. Ranatunga KW

    (1984) The force-velocity relation of rat fast- and slow-twitch muscles examined at different temperatures

    J. Physiol 351:517–529.

    https://doi.org/10.1113/jphysiol.1984.sp015260

    • PubMed
    • Google Scholar
60. 1. Roberts TJ

    (2002) The integrated function of muscles and tendons during locomotion

    Comp. Biochem. Physiol. A. Mol. Integr. Physiol 133:1087–1099.

    https://doi.org/10.1016/S1095-6433(02)00244-1

    • PubMed
    • Google Scholar
61. 1. Roberts TJ
    2. Azizi E

    (2011) Flexible mechanisms: the diverse roles of biological springs in vertebrate movement

    J. Exp. Biol 214:353–361.

    https://doi.org/10.1242/jeb.038588

    • PubMed
    • Google Scholar
62. 1. Santuz A
    2. Ekizos A
    3. Kunimasa Y
    4. Kijima K
    5. Ishikawa M
    6. Arampatzis A

    (2020) Lower complexity of motor primitives ensures robust control of high-speed human locomotion

    Heliyon 6:e05377.

    https://doi.org/10.1016/j.heliyon.2020.e05377

    • PubMed
    • Google Scholar
63. 1. Sawicki GS
    2. Beck ON
    3. Kang I
    4. Young AJ

    (2020) The exoskeleton expansion: improving walking and running economy

    J. NeuroEngineering Rehabil 17:25.

    https://doi.org/10.1186/s12984-020-00663-9

    • PubMed
    • Google Scholar
64. 1. Smith NP
    2. Barclay CJ
    3. Loiselle DS

    (2005) The efficiency of muscle contraction

    Prog. Biophys. Mol. Biol 88:1–58.

    https://doi.org/10.1016/j.pbiomolbio.2003.11.014

    • PubMed
    • Google Scholar
65. 1. Stefanyshyn DJ
    2. Nigg BM

    (1998) Contribution of the lower extremity joints to mechanical energy in running vertical jumps and running long jumps

    Journal of Sports Sciences 16:177–186.

    https://doi.org/10.1080/026404198366885

    • PubMed
    • Google Scholar
66. 1. Uchida TK
    2. Hicks JL
    3. Dembia CL
    4. Delp SL

    (2016) Stretching Your Energetic Budget: How Tendon Compliance Affects the Metabolic Cost of Running

    PLOS ONE 11:e0150378.

    https://doi.org/10.1371/journal.pone.0150378

    • PubMed
    • Google Scholar
67. 1. Umberger BR
    2. Gerritsen KGM
    3. Martin PE

    (2003) A model of human muscle energy expenditure

    Computer Methods in Biomechanics and Biomedical Engineering 6:99–111.

    https://doi.org/10.1080/1025584031000091678

    • PubMed
    • Google Scholar
68. 1. Wakeling JM
    2. Blake OM
    3. Wong I
    4. Rana M
    5. Lee SSM

    (2011) Movement mechanics as a determinate of muscle structure, recruitment and coordination

    Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences 366:1554–1564.

    https://doi.org/10.1098/rstb.2010.0294

    • PubMed
    • Google Scholar
69. 1. Ward SR
    2. Eng CM
    3. Smallwood LH
    4. Lieber RL

    (2009) Are current measurements of lower extremity muscle architecture accurate

    Clin. Orthop 467:1074–1082.

    https://doi.org/10.1007/s11999-008-0594-8

    • PubMed
    • Google Scholar
70. 1. Werkhausen A
    2. Cronin NJ
    3. Albracht K
    4. Paulsen G
    5. Larsen AV
    6. Bojsen-Møller J
    7. Seynnes OR

    (2019) Training-induced increase in Achilles tendon stiffness affects tendon strain pattern during running

    PeerJ 7:e6764.

    https://doi.org/10.7717/peerj.6764

    • PubMed
    • Google Scholar
71. 1. Winters JM
    2. Stark L

    (1985) Analysis of fundamental human movement patterns through the use of in-depth antagonistic muscle models

    IEEE Transactions on Biomedical Engineering 32:826–839.

    https://doi.org/10.1109/TBME.1985.325498

    • Google Scholar
72. 1. Winters JM
    2. Stark L

    (1988) Estimated mechanical properties of synergistic muscles involved in movements of a variety of human joints

    Journal of Biomechanics 21:1027–1041.

    https://doi.org/10.1016/0021-9290(88)90249-7

    • PubMed
    • Google Scholar
73. 1. Zuurbier CJ
    2. Huijing PA

    (1992) Influence of muscle geometry on shortening speed of fibre, aponeurosis and muscle

    Journal of Biomechanics 25:1017–1026.

    https://doi.org/10.1016/0021-9290(92)90037-2

    • PubMed
    • Google Scholar

Author details

1. Sebastian Bohm

   1. Humboldt-Universität zu Berlin, Department of Training and Movement Sciences, Berlin, Germany
   2. Berlin School of Movement Science, Humboldt-Universität zu Berlin, Berlin, Germany

   Contribution

   Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Visualization, Writing - original draft, Writing – review and editing

   For correspondence

   sebastian.bohm@hu-berlin.de

   Competing interests

   none

   "This ORCID iD identifies the author of this article:" 0000-0002-5720-3672

2. Falk Mersmann

   1. Humboldt-Universität zu Berlin, Department of Training and Movement Sciences, Berlin, Germany
   2. Berlin School of Movement Science, Humboldt-Universität zu Berlin, Berlin, Germany

   Contribution

   Data curation, Methodology, Writing – review and editing

   Competing interests

   None

   "This ORCID iD identifies the author of this article:" 0000-0001-7180-7109

3. Alessandro Santuz

   1. Humboldt-Universität zu Berlin, Department of Training and Movement Sciences, Berlin, Germany
   2. Berlin School of Movement Science, Humboldt-Universität zu Berlin, Berlin, Germany

   Contribution

   Methodology, Writing – review and editing

   Competing interests

   none

   "This ORCID iD identifies the author of this article:" 0000-0002-6577-5101

4. Arno Schroll

   1. Humboldt-Universität zu Berlin, Department of Training and Movement Sciences, Berlin, Germany
   2. Berlin School of Movement Science, Humboldt-Universität zu Berlin, Berlin, Germany

   Contribution

   Methodology, Software, Writing – review and editing

   Competing interests

   none

5. Adamantios Arampatzis

   1. Humboldt-Universität zu Berlin, Department of Training and Movement Sciences, Berlin, Germany
   2. Berlin School of Movement Science, Humboldt-Universität zu Berlin, Berlin, Germany

   Contribution

   Conceptualization, Funding acquisition, Methodology, Supervision, Writing - original draft, Writing – review and editing

   Competing interests

   none

   "This ORCID iD identifies the author of this article:" 0000-0002-4985-0335

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