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Method Article
* These authors contributed equally
This protocol integrates near-infrared spectroscopy (NIRS) technology to assess localized hematological and oxygenation changes at the prefrontal cortex, respiratory (m.Intercostales), and locomotor (m.Vastus Lateralis) muscles during cardiopulmonary exercise testing, enabling the identification of central and peripheral limiting factors affecting exercise performance.
The gold standard to assess the aerobic capacity in physically active subjects and athletes is the maximal oxygen consumption test (VO2–max), which involves analysis of exhaled–gases and cardiorespiratory variables obtained via the breath-by-breath method in an ergospirometer during an incremental exercise. However, this method cannot elucidate metabolic changes at the muscular level. Near-infrared spectroscopy (NIRS) has emerged as a valuable technology to evaluate local oxygen levels (Tissular Saturation Index, TSI) by quantifying the concentrations of oxygenated (O2-Hb) and deoxygenated (H-Hb) hemoglobin in the microvasculature of tissues. NIRS applications extend to respiratory and locomotor muscles, assessing metabolic changes associated with the cost of breathing (COB) and peripheral workload, respectively. Additionally, cerebral regions, such as the prefrontal cortex, have been explored with NIRS technology to assess physiological changes related to cognitive demand associated with planning or ideation of motor tasks linked to sports performance. Thus, by analyzing exercise-induced changes (D) in O2-Hb, H-Hb, and TSI, it is possible to identify central and peripheral exercise limitations, particularly when endurance training is the main component of physical fitness (e.g., running, cycling, triathlon, etc.). Addressing these factors is paramount for coaches and exercise physiologists to optimize athletic performance, incorporating training strategies focused on the primary exercise-limiting factors. This study outlines a protocol for utilizing wearables devices equipped with NIRS technology to analyze exercise changes in TSI, O2-Hb, and H-Hb, alongside cardiorespiratory variables typically registered in athletes during VO2–max tests. This approach offers a comprehensive method for identifying the primary systems involved in stopping exercise progression and sports performance improvement.
Endurance athletes rely on an efficient balance of oxygen delivery and uptake to sustain high–intensity exercise and enhance their athletic performance1,2. The maximal oxygen uptake test (VO2-max) is a vital physiological assessment that determines sports performance by analyzing exhaled–gases and cardiorespiratory variables during incremental exercise intensity1. This assessment, known as ergospirometry or Cardiopulmonary Exercise Testing (CPET), reflects the exercise response of the cardiovascular, respiratory, and muscular systems3. Along these lines, the increased energy cost associated with breathing, referred to as the cost of breathing (COB), heightens the demand for nutrients and oxygen in the surrounding tissues. This phenomenon has been documented to potentially reduce blood flow to the muscles involved in active movements, resulting in a decreased tolerance to physical exertion and an early cessation of exercise progression due to the metabolic reflex4.
During a VO2–max test, it is also possible to identify the ventilatory thresholds (VTs), which correspond to specific exercise intensities marking the transition from aerobic to anaerobic metabolism (aerobic threshold or ventilatory threshold 1 [VT1], and anaerobic threshold or respiratory compensation point [RCP] or ventilatory threshold 2 [VT2])5. The VTs reflect the ventilatory responses that compensate for metabolic changes during incremental exercise6. By identifying these thresholds, CPET offers a comprehensive evaluation by integrating the responses of multiple biological systems critically engaged during high–intensity exercise.
However, while ergospirometry is widely considered the gold standard for evaluating CPET, it does not capture metabolic changes occurring at the muscle level. These changes are crucial for understanding the physiological limiting factors associated with the lack of progression during high–intensity exercise in endurance athletes. In this context, NIRS technology has emerged as a valuable tool in exercise science, aiding in analyzing hemodynamic variables at the microvascular muscle level7.
In recent years, sports professionals and researchers have used a wide range of commercial wearables equipped with NIRS technology to explore non–invasive muscular changes during exercise, providing the ability to determine VT1 and VT2 with this technology8. Thus, the integrative analysis of data from NIRS and CPET offers a comprehensive understanding of physiological responses to exercise.
The NIRS technology utilizes the modified Beer-Lambert law to quantify changes (D) in the concentrations of oxyhemoglobin (O2-Hb) and deoxyhemoglobin (H-Hb) during exercise7. At the local tissue level, a decrease in O2-Hb reflects an increase in local metabolic demand, while an increase in H-Hb reflects an increase in oxygen extraction. Total hemoglobin (tHb), the sum of O2-Hb and H-Hb, is used as an index of local tissue blood flow. Conversely, the difference between O2-Hb and H-Hb (Hbdiff) provides an index of tissue oxygen extraction9. The tissular saturation index (TSI), calculated as the ratio of O2-Hb to tHb, reflects the tissue oxygen saturation level and indicates the balance between local oxygen delivery and uptake10,11. Thus, NIRS data give critical insights into the physiological status at the microvascular level, providing a detailed understanding of tissue oxygenation and hemodynamics that complements the information obtained from CPET.
This detailed understanding provided by NIRS technology extends to many practical applications. Recent research highlights the versatility of NIRS and demonstrates its practical application in monitoring respiratory12,13 and locomotor muscles7, as well as brain regions involved in motor act ideation, such as the prefrontal cortex (PFC)14,15. This broad applicability underscores the ability of NIRS to provide comprehensive insight into physiological responses to various types of muscle contractions (concentric or, eccentric, or isometric contractions) and exercise.
By analyzing exercise-induced DTSI at both the muscular and cerebral levels, NIRS provides a valuable potential for identifying associations between peripheral and central limiting factors that affect the progression of exercise16,17. For example, among central limiting factors, decreased blood flow resulting from cerebral vasoconstriction caused by compensatory hyperventilation due to elevated hydrogen levels from anaerobic metabolism and increased blood lactate during high-intensity exercise is a significant contributor to the reduction in TSI in the prefrontal cortex17,18. In contrast, peripheral limiting factors are characterized by an imbalance between oxygen supply and demand in the exercising musculature19. Reduced local oxygen delivery and increased oxygen consumption can lead to tissue deoxygenation, as evidenced by decreased TSI20. This distinction highlights the multifaceted nature of performance limitations during high–intensity exercise, where both central and peripheral mechanisms are critical. This understanding suggests that delaying the onset of these limiting factors during exercise may contribute to improved athletic performance.
To fully leverage the potential of NIRS technology in identifying these limitations, standardized procedures are essential to ensure high-quality data collection and analysis. This document outlines methods for conducting maximal endurance exercise testing using NIRS technology to collect physiological data and elucidate the relationship between central and peripheral limiting factors during high-intensity exercise in endurance athletes. The proposed protocol provides a standardized approach to ensure consistency and accuracy in assessing the physiological phenomena underlying these limiting factors.
The protocol was approved by the Institutional Review Board of the Pontificia Universidad Católica de Chile (projects nº 210525001 and 220608010), and the study was conducted in accordance with the Declaration of Helsinki. All participants provided written informed consent before participating in the testing described.
1. Placement and setup of NIRS wearables
NOTE: Various NIRS wearables and data acquisition software can be utilized. Researchers should thoroughly consult the manufacturer's instructions and guidelines to ensure proper setup and usage. In this study, the devices that use a continuous wave register of the NIRS signal are used. These commercial devices are easy to use, but they can only detect changes in light attenuation relative to the reference or baseline phase and cannot detect absolute concentrations like other devices that employ a time-domain register of NIRS.
2. Calibration and setup of ergospirometer
3. ECG electrode placement (12 leads)
4. Incremental maximal exercise test (cardiopulmonary exercise testing, CPET)
During the completion of a CPET, the symptoms of dyspnea, leg fatigue, and rate of perceived exertion (RPE) were reported in all subjects. The complementary use of the NIRS devices did not add any discomfort to the subjects' sensation assessment. Also, we did not stop the CPET assessments by any risk event associated with excessive physiological stress.
We studied two competitive male cyclists recruited from a national cycling club. The inclusion criteria for this study were p...
There is significant potential in using NIRS wearables as a complementary tool to CPET for evaluating athletic performance and identifying central and peripheral exercise–limiting factors in aerobic or endurance athletes, given that NIRS technology has proven its validity and reliability in assessing microvascular hemodynamics in both cerebral and muscular regions37,38. However, to maximize the benefits of this technology, several considerations must be add...
The authors declare no conflict of interest.
We thank all participants in this study and technical laboratory staff for their support in the measurements taken at the Laboratory of Exercise Physiology. The authors FC-B and ME-R were partially supported by the III, IV, and V Research & Innovation Competitions of the School Health Sciences (Faculty of Medicine, Pontificia Universidad Católica de Chile). The author RC-C was funded by Project supported by the Competition for Research Regular Projects, year 2023, code LPR23-17, Universidad Tecnológica Metropolitana.
Name | Company | Catalog Number | Comments |
Column Scale | SECA | 711 | There are numerous alternatives to this item |
Portable Stadiometer | SECA | 217 | There are numerous alternatives to this item |
12-lead ECG | COSMED | Quark T12x | A 12-lead ECG provides a better understanding of HR during exercise and facilitates the detection of arrhythmias. |
Pulse Oxymeter | COSMED | Integrated pulse oxymeter | |
Ergoespirometer | COSMED | Quark-CPET | Calibration gases and calibration syringe are included |
Cycle-ergometer | Ergoline GmH | ViaSprint 150P | There are numerous alternatives to this item. Must ensure compatibility with provided software |
NIRS weareable | Artinis Medical Systems | Portalite | Articulated NIRS weareable fits the surface where it's placed upon. |
NIRS weareable | Artinis Medical Systems | Portamon | Portamon device provides better results on high adipose-tissue surfaces. |
Metabolic Data Management Software (OMNIA) | COSMED | Software will vary upon system choice | |
NIRS Data Management Software (Oxysoft) | Artinis Medical Systems | Software will vary upon device choice | |
Wireless Probe Type Ultrasound Scanner | SONUS | Duo LC | There are numerous alternatives to this item |
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