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Does Pilates Breathing Affect the Biceps Brachii Neuromuscular Efficiency During Submaximal Contraction?

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02 April 2025

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03 April 2025

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Abstract
The Pilates breathing technique is theorized to improve neuromuscular efficiency, but its specific effects on peripheral muscles have not been thoroughly investigated. This study evaluated how Pilates breathing influences the neuromuscular efficiency of the biceps brachii muscle during submaximal elbow flexions compared to regular breathing. Fifty-eight healthy adults without prior experience with the Pilates Method of Exercise performed concentric and eccentric elbow contractions at 20%, 40%, and 60% of their maximal voluntary isometric contraction under two breathing conditions: the specialized Pilates breathing pattern (executing movements exclusively during expiration) and normal breathing patterns. Muscle activity was measured using surface electromyography, with neuromuscular efficiency quantified as the relationship between muscle electrical activity and force production. The results revealed significantly improved neuromuscular efficiency during Pilates breathing at all tested intensity levels, with the most substantial enhancement observed at 60% of maximal effort. The eccentric phase of movement demonstrated more efficiency gains than the concentric phase. These findings indicate that the distinct breathing pattern used in Pilates can independently enhance neuromuscular performance in the biceps brachii. The study suggests that incorporating Pilates breathing techniques could benefit rehabilitation programs and strength training regimens to optimize muscle function and movement efficiency. Additional research is recommended to examine long-term effects and practical applications in clinical and athletic settings.
Keywords: 
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1. Introduction

The Pilates Method of Exercise (PME) is widely recognized as an integrative approach to physical conditioning that emphasizes muscle control, posture, and breathing [1]. Together, these elements improve strength, flexibility, neuromuscular coordination, and overall body awareness [2]. Originating in the early 20th century, PME was developed as a rehabilitative practice to improve physical function, but it became globally known for its application in fitness, therapy, and athletic training [3,4]. PME can be practiced on specialized equipment, such as the reformer or Cadillac, or even during mat exercises, offering versatility across diverse populations and settings [5].
PME has six principles: centering, concentration, control, precision, flow, and breathing. These principles form the method foundation and provide a biomechanical and neuromuscular framework that supports functional movement patterns [2]. Breathing is emphasized as a vital component of PME, regulating intra-abdominal pressure, stabilizing the core muscles, and enhancing mind-body awareness. The Pilates breathing technique combines diaphragmatic and costal breathing, which promotes thoracic expansion while maintaining abdominal engagement [4]. This unique approach to breathing has been linked to improved core stability and muscle excitation, particularly in the deep stabilizing muscles, such as the transverse abdominis, lumbar multifidi, and pelvic floor [6].
Integrating breathing and centering during PME has significant implications for muscle excitation and performance. Electromyography studies have demonstrated that Pilates-based breathing techniques can enhance neuromuscular efficiency, a parameter that reflects the relationship between neural drive and force production [7]. Neuromuscular efficiency is particularly relevant in resistance training and rehabilitation, as it quantifies the optimization of motor unit recruitment and firing pattern [8]. Efficient muscle function, as evidenced by reduced electromyographic amplitude during high-force tasks, indicates an adaptive neuromuscular system capable of performing tasks with minimal energetic cost [9]. Additionally, the principles of resistance training underscore the importance of gradually increasing mechanical load to stimulate neuromuscular adaptations, this concept aligns with the objectives of Pilates training, which often incorporates progressive resistance using springs or body weight [10].
Research on neuromuscular efficiency during concentric and eccentric muscle actions reveals distinct patterns. Eccentric exercises demonstrate significantly lower muscle excitation compared to concentric[11]. Recent investigations have explored the influence of Pilates breathing on specific muscle groups, particularly in the context of upper limb movement [12]. Research on the biceps brachii during phases concentric and eccentric revealed more significant electromyographic activity when Pilates breathing associated with centralization was employed compared to regular breathing techniques. These findings suggest that the coordinated excitation of respiratory and core muscles can enhance the excitability and performance of distal muscles [6]. However, there is a lack of studies isolating the effects of Pilates breathing on neuromuscular efficiency or examining its impact across different load intensities for a given exercise.
Despite growing interest in the biomechanical and neuromuscular effects of PME, many aspects of its mechanisms remain underexplored. Specifically, the isolated contribution of Pilates breathing in tasks requiring upper limb coordination. Furthermore, the interaction between load and breathing techniques in eliciting neuromuscular responses warrants further investigation. Therefore, the present study aims to analyze the effects of Pilates breathing on the neuromuscular efficiency during concentric and eccentric phases of the biceps brachii at varying load levels. By comparing Pilates breathing with regular breathing, this research seeks to elucidate the role of breathing techniques on neuromuscular efficiency. These findings can potentially inform evidence-based practices in rehabilitation, strength training, and performance enhancement.

2. Materials and Methods

Fifty-eight healthy adults from both sexes (18-30 years) joined the present study. The participants were recruited by personal contacts and public invitation through folders from Dec/2023 to Feb/2024. The participants’ characteristics are shown in Table 1 . The a priori two-tailed sample size calculation was based on a previous study, considering the effect size of 0.48, the alpha level of 5%, and a 95% power, returning 32 participants.
Considering a sample loss of 30%, 44 participants would be needed to reach the sampling power. However, 60 participants were selected, and fifty-eight data were analyzed, as shown in Figure 1. The inclusion criteria were to be between 18 and 30 years old, never have practiced the PME. As exclusion criteria, the participants should not have a history of severe orthopedic and neurological disorders, cardiovascular disease, and upper limb surgery. This randomized clinical trial was conducted in accordance with the Declaration of Helsinki. The Ethics Committee of the Federal University of Juiz de Fora (number 66768023.1.0000.5147) approved all the procedures employed in the present study. The trial was registered in the Brazilian clinical trials registry (RBR-5q5g4s6). All participants gave their written informed consent prior to participation.

2.1. Data Recording

Muscle excitation was measured using a biological signal acquisition module with eight analogue channels (MiotecTM Biomedical Equipment, Porto Alegre, RS, Brazil). An A/D board converted analog to digital signals with a 16-bit resolution input range, sampling frequency of 2 kHz, common rejection module greater than 100 dB, signal/noise ratio less than 03 μV RMS, and impedance of 109 Ω. The signals are electromyographic (EMG) were recorded by root mean square (RMS) in μV and the average frequency in Hz with surface electrodes (20-mm diameter and a center-to-center distance of 20 mm). Prior to fixation of the electrodes, trichotomy was performed, and the skin was cleaned with 70% alcohol. The muscles analyzed by sEMG were as follows: right and left arm long head of biceps brachii. Auto-adhesive surface electrodes were attached on the muscle bellies and positioned parallel to the muscle fibers using the techniques described by the sEMG for the Non-Invasive Assessment of Muscles (SENIAM) recommendations. A reference electrode was placed on the left lateral epicondyle. The sEMG signals were amplified and filtered (10-500 Hz, notch 60 Hz) [13].

2.2. Exercise Procedures

To establish the maximal isometric output (100%), each participant performed 3 maximal voluntary isometric contractions (MVIC) of elbow flexion (the participant standing with knee flexed at 20° and elbow flexed at 90°), measured by a laboratory-grade load cell (MiotecTM Biomedical Equipment, Porto Alegre, RS, Brazil; maximum tension-compression = 200 kgf, the precision of 0.1 kgf, the maximum error of measurement = 0.33%) attached to an acquisition module with eight analogs channels (MiotoolTM, MiotecTM Biomedical Equipment, Porto Alegre, RS, Brazil). According to the manufacturer’s recommendations, the laboratory-grade load cell was previously calibrated using 10% (20 kg) of its maximal tension compression. Both limbs were simultaneously assessed. The laboratory-grade load cell was anchored to a stable surface, and participants were instructed to exert maximum effort during the isometric test. The maximal force output data were obtained from the average of the three MVIC.

2.3. Experimental Protocol

After 5 minutes of rest, the participant was then instructed to perform 18 trials (9 for regular and 9 for Pilates breathing) of a complete entire dynamic movement (concentric-eccentric) of the elbow combined with a breathing technique at 3x 20%, 3x 40%, and 3x 60% of the flexion MVIC. All participants performed both breathing techniques (Pilates breathing and regular breathing), and the order of the breathing technique was randomized. The randomization sequence was independently generated using the http://www.randomizer.org. The participant who started by performing the regular breathing, performed the Pilates breathing later, and vice versa. The order of the loads (20%, 40% and 60% of the flexion MVIC) was also randomized for each participant using the above-mentioned website. One minute of rest between each load adjustment was allowed.
The regular breathing was performed with a concentric contraction during inspiration and an eccentric contraction during expiration. The Pilates breathing consisted of an initial deep inspiratory phase, then moving the elbow through flexion during an expiratory phase, another deep inspiration, and the final eccentric extension during the final expiratory phase. Thus, the elbow was moved only during the expiratory phase. To control the execution timing, all participants performed a familiarization before the task, demonstrating and teaching the participants how to perform the exercise along with each breathing technique. The concentric and eccentric timing phases were set for both breathing exercises at 2 seconds each, controlled by the rater.

2.4. Data Extraction

All sEMG data were normalized using the MVIC, and the mean muscle activities during concentric and eccentric phases of the biceps brachii muscles were calculated. All information was recorded and processed offline using the MIOTEC Suite™ software (MIOTEC™; Biomedical Equipment). To set the elbow movement onset, the concentric-eccentric phase switch, and the end of the elbow movement, all movements were recorded using a camera synchronized to the sEMG acquisition. Markers were digitally set for each event (onset, switch, and end). Next, the concentric and eccentric biceps brachii electromyographic signals were windowed following the established video markers.
The neuromuscular efficiency index was determined by calculating the ratio between the mean of sEMG activity normalized by MVIC and the corresponding percentage force (20%, 40%, and 60% of MVIC). This variable was expressed as (%sEMG/kgf). In this context, a lower ratio value indicates greater neuromuscular efficiency, meaning the muscle can generate the required force with less electrical activity, reflecting a more optimized neuromuscular performance.[9]

2.5. Data Analysis

Descriptive analysis was performed (median, minimal, maximal). Normality and homogeneity were assessed using the Shapiro-Wilk and Levene’s tests, respectively. The non-parametric Friedman’s repeated measures analysis of variance was used, followed by the Durbin-Conover post hoc test for pairwise contrasts, avoiding multiple comparisons. Effect sizes (ES) were calculated using the Cohen’s d test. The ES were qualitatively classified as: very small (0.01 to 0.19); small (0.20 to 0.49); moderate (0.50 to 0.79); large (0.8 to 1.19) very large (1.2 to1.99); and huge (>2)[14] .Significance was set at p<0.05. All statistical analysis was done using the freeware JAMOVI (The JAMOVI Project, version 1.6.15, retrieved from: http://www.jamovi.org).

3. Results

Sixty participants were assessed, but data from two participants were excluded due to failure capturing the electromyographic activity. Thus, fifty-eight participants were analyzed. Participants’ characteristics are shown in Table 1. The comparison between the neuromuscular efficiency index obtained during the execution of the exercise using regular breathing or Pilates breathing at different load levels is presented in Table 2. The data showed that the neuromuscular efficiency index was lower during Pilates breathing compared to regular breathing all parameters showed significant differences. Higher loads (40% and 60% of MVIC) showed the best neuromuscular efficiency responses. The ES ranged from very small to large for in the comparisons. The analyses also showed that the dominant biceps of all participants presented a better efficiency index when compared to the non-dominant side. The ES ranged from very small to moderate for in the comparisons.

4. Discussion

The present study compared the neuromuscular efficiency index during concentric and eccentric phases of the biceps brachii action associated with regular breathing and Pilates breathing at varying load levels. The results showed that the neuromuscular efficiency index was lower when movement was associated with Pilates breathing than when it was associated with regular breathing. The comparison between these two breathing techniques showed that Pilates breathing resulted in the best neuromuscular efficiency of biceps brachii during concentric and eccentric phases. According to previous studies, this finding can be explained by the best neuromuscular efficiency induced by Pilates breathing, which means that fewer motor units are required to produce the same level of force. Neuromuscular efficiency is calculated considering the amount of neural stimulation and muscle capacity to generate force. Therefore, a muscle that is able to generate greater torque with lower muscle fiber excitation is considered more efficient [15,16].
A study carried out with 10 healthy women proposed by [17] excitation comparing biceps brachii with breathing techniques of with centralization technique showed an increase in biceps brachii motor unit recruitment, suggesting that there is greater muscle excitation when exercise is associated with centralization and breathing techniques of Pilates method. During this study, the centering technique was associated with Pilates breathing while the participants performed a biceps brachii isometric contraction during elbow flexion movement. The present study did not associate Pilates breathing with the centralization technique. In addition, participants performed biceps brachii isotonic contraction at the same time as the breathing technique. Therefore, differences between the present results and results reposted by [17]can be explained by differences in properties of different muscle contraction types and concurrent neural influences, once in a previous study, participants needed to focus their attention on two simultaneous techniques when performing the biceps brachii contraction (breathing and centralization technique).
Another study evaluated the effects of centralization technique and Pilates breathing on lower limb muscle activity during squats [18]. In this study, thirteen adults with some experience in Pilates method performed three 60° squats under three experimental conditions: (I) normal breathing, (II) abdominal contraction with normal breathing, and (III) abdominal contraction with Pilates breathing. The results showed that squats with abdominal contraction associated with Pilates breathing increased sEMG of rectus femoris, biceps femoris and tibialis anterior muscles during the flexion phase, increasing movement stability. These findings differ from those presented here, which showed less muscle excitation when performing isotonic contractions at varying load levels. The better neuromuscular efficiency indices observed in the present study when muscle contraction was associated with Pilates breathing may reflect greater neuromuscular efficiency, once, despite lower electrical excitation, muscles were able to perform the proposed exercise with the same load levels. These findings suggest that Pilates breathing leads to more efficient recruitment of motor units, allowing force generation and joint stabilization with less neural effort, resulting in more significant energy savings during exercise.
The results of the present study are similar to those presented by [19] which included 15 women who practiced Pilates and 15 women who do not. Participants’ right and left multifidus muscles were evaluated with electromyography to estimate neuromuscular efficiency. The results related that although no difference in sEMG was observed between groups, higher values of peak isometric torque and neuromuscular efficiency was observed in Pilates practitioners, suggesting that Pilates breathing practice are effective in training spinal muscles and improved neuromuscular efficiency in women.
A physiological hypothesis that justifies these results is that Pilates breathing increases volume and oxygenation levels and can be used to support any exercise program to provide a physiological environment susceptible to better muscle recruitment; this is supported by our findings and results previously reported [6,18,20]. The principle of Pilates breathing is that the individual controls breathing by performing specific force movements only during expiration, making it slower and more profound; these actions can lead to cardiometabolic and sympathetic flow changes dependent on breathing patterns [21].
A study with 27 participants aged between 20 and 27 years [22] which compared lower limbs neuromuscular responses to postural disturbances during spontaneous and slow breathing, showed that slow breathing shortened the latency of sEMG in lower limbs muscles during postural disturbances when compared to spontaneous breathing, Thus, slow breathing decreases sympathetic nervous system activity, redistributes blood circulation to the working muscles, and affects the metabolism of skeletal muscle cells and membranes, which can have a direct impact on skeletal muscle performance such as contraction velocity and strength. Thus, deep and slow breathing techniques can impact muscle performance.
The present study results also showed that the right biceps brachii has the best neuromuscular efficiency index compared to the left biceps brachii during the concentric and eccentric phase. These results can be explained by studies in the literature, which indicate that the dominant side presents greater efficiency in motor tasks due to neuromuscular factors and biomechanical adaptations [23]. Lateral dominance results from greater motor representation and control in the cerebral hemisphere contralateral to the dominant limb, which results in a more refined control of movements, greater precision and muscle strength. Additionally, dominant limb often experiences greater exposure to everyday activities, leading to a greater coordination and motor skill development over time [24].

5. Conclusions

The present study demonstrated that Pilates breathing significantly enhances neuromuscular efficiency during concentric and eccentric phases of the biceps brachii compared to regular breathing, particularly at higher load levels (40% and 60% of MVIC). The lower electromyographic activity observed during Pilates breathing suggests better motor unit recruitment and task optimization. These findings highlight the potential of Pilates breathing to optimize muscle performance, reduce neural effort, and improve functional movement efficiency. Future research should explore Pilates breathing applications in rehabilitation and athletic training, particularly in tasks requiring upper limb coordination and stability.

Author Contributions

Conceptualization: D.B.C., A.C.B., M.C.G.S.M; Methodology: D.B.C., A.C.B., K.R.R.F; Software: A.F.E., G.L.G; Validation: K.R.R.F., A.C.L., A.F.E; Formal Analysis: D.B.C., M.C.G.S.M., A.C.B; Investigation: D.B.C., K.R.R.F., A.C.L., G.L.G; Resources: A.C.B., M.C.G.S.M; Data Curation: K.R.R.F., A.F.E., G.L.G; Writing – Original Draft Preparation: D.B.C., M.C.G.S.M; Writing – Review & Editing: A.C.B., K.R.R.F., A.C.L; Visualization: A.F.E., G.L.G; Supervision: A.C.B; Project Administration: D.B.C., A.C.B; Funding Acquisition: A.C.B.. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported, in part, by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001 and by the Fundação de Amparo à Pesquisa de Minas Gerais (FAPEMIG)—number APQ 02040/18. This research was funded by the Federal University of Juiz de Fora.

Institutional Review Board Statement

This randomized clinical trial was conducted in accordance with the Declaration of Helsinki. The Ethics Committee of the Federal University of Juiz de Fora (number 66768023.1.0000.5147) approved all the procedures employed in the present study. The trial was registered in the Brazilian clinical trials registry (number RBR-5q5g4s6).

Informed Consent Statement

Informed consent was obtained from all subjects involved in this study.

Data Availability Statement

The data presented in this study are openly available in Mendeley Data at [25].

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
PME Pilates Method of Exercise
MVIC maximal voluntary isometric contractions
sEMG Electromyographic surface

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Figure 1. Selection of participant’s and flow diagram.
Figure 1. Selection of participant’s and flow diagram.
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Table 1. Participants’ characteristics.
Table 1. Participants’ characteristics.
Male Female All P
Male vs Female
n (%) 20 (32.1%) 38 (67.8%) 58 (100%) 0.008*
Age, y, mean ± SD 23.20 ± 2.62 22.6 ± 2.64 22.8 ± 2.62 0.47
Weight, mean ± SD 81.0 ± 10.2 63.3 ± 10.3 69.0 ± 13.2 0.07
Height, mean ± SD 1.76 ± 0.11 1.63 ± 0.05 1.67 ± 0.09 0.04*
BMI, mean ± SD 26.4 ± 4.11 23.7 ± 3.47 24.6 ± 3.88 0.60
Legend: SD = standard deviation; BMI = Body mass index. Differences assigned.
Table 2. Neuromuscular efficiency index (sEMG%/kgf) considering the effects of regular and Pilates breathing techniques during concentric (conc) and eccentric (ecc) phases of the right and left biceps brachii muscle with 20%, 40% and 60% load considering the maximum voluntary isometric contraction (MVIC). Descriptive data in median (minimum; maximum).
Table 2. Neuromuscular efficiency index (sEMG%/kgf) considering the effects of regular and Pilates breathing techniques during concentric (conc) and eccentric (ecc) phases of the right and left biceps brachii muscle with 20%, 40% and 60% load considering the maximum voluntary isometric contraction (MVIC). Descriptive data in median (minimum; maximum).
Right Left Right vs Left
Regular Pilates p ES Regular Pilates p ES Regular ES Pilates ES
20% of MVIC conc 2.9
(0.5-10.5)
3.2
(0.5-19.4)
0.031* 0.51
moderate
4.3
(0.9-19.2)
3.5
(0.9-13.2)
0.003* -0.71
moderate
< .001* 0.62
moderate
0.938 0.16
very small
ecc 2.6
(0.3-11.5)
2.6
(0.3-7.8)
0.03* -0.47
small
2.9
(0.5-14.4)
2.7
(0.6-14.2)
0.036* -0.5
moderate
0.638 0.16
very small
0.66 0.15
very small
40% of MVIC conc 2.6
(0.3-13.6)
2.4
(0.8-10)
0.008* 0.92
large
4
(1.0-13.7)
3.4
(0.8-17.9)
0.002* 0.91
large
< .001* 0.67
moderate
< .001* 0.62
moderate
ecc 2.5
(0.2-10.8)
2.3
(0.7-8.2)
0.07* 0.95
large
2.7
(0.4-11.5)
2.4
(0.7-13.1)
0.03* 0.94
large
< .001* 0.13
very small
0.579 0.08
very small
60% of MVIC conc 2.7
(0.7-8.7)
2.5
(0.5-10)
< .001* -0.7
moderate
3.8
(1.0-22.4)
3.4
(0.9-15.3)
0.023* -0.59
moderate
< .001* 0.68
moderate
< .001* 0.63
moderate
ecc 2.6
(0.5-7.8)
2.2
(0.4-11.3)
0.019* -0.45
small
2.4
(0.9-17.3)
2.2
(0.6-16.1)
0.03* -0.65
moderate
0.787 0.14
very small
0.66 0.13
very small
*Significant differences assigned.
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