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Stern BD, Deyle ER, Hegedus EJ, Munch SB, Saberski E. Stress Drives Soccer Athletes' Wellness and Movement: Using Convergent Cross-Mapping to Identify Causal Relationships in a Dynamic Environment. Int J Sports Physiol Perform 2024:1-11. [PMID: 39117318 DOI: 10.1123/ijspp.2024-0007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/25/2024] [Accepted: 05/21/2024] [Indexed: 08/10/2024]
Abstract
PURPOSE Prediction of athlete wellness is difficult-or, many sports-medicine practitioners and scientists would argue, impossible. Instead, one settles for correlational relationships of variables gathered at fixed moments in time. The issue may be an inherent mismatch between usual methods of data collection and analysis and the complex nature of the variables governing athlete wellness. Variables such as external load, stress, muscle soreness, and sleep quality may affect each other and wellness in a dynamic, nonlinear, way over time. In such an environment, traditional data-collection methods and statistics will fail to capture causal effects. If we are to move this area of sport science forward, a different approach is required. METHODS We analyzed data from 2 different soccer teams that showed no significance between player load and wellness or among individual measures of wellness. Our analysis used methods of attractor reconstruction to examine possible causal relationships between GPS/accelerometer-measured external training load and wellness variables. RESULTS Our analysis showed that player self-rated stress, a component of wellness, seems a fundamental driving variable. The influence of stress is so great that stress can predict other components of athlete wellness, and, in turn, self-rated stress can be predicted by observing a player's load data. CONCLUSION We demonstrate the ability of nonlinear methods to identify interactions between and among variables to predict future athlete stress. These relationships are indicative of the causal relationships playing out in athlete wellness over the course of a soccer season.
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Affiliation(s)
- Benjamin D Stern
- Department of Rehabilitation Sciences, School of Medicine, Tufts University, Boston, MA, USA
- HonorHealth, Scottsdale, AZ, USA
- Doctor of Physical Therapy Program, School of Medicine, Tufts University, Phoenix, AZ, USA
| | - Ethan R Deyle
- Department of Biology, Boston University, Boston, MA, USA
| | - Eric J Hegedus
- Department of Rehabilitation Sciences, School of Medicine, Tufts University, Boston, MA, USA
| | - Stephan B Munch
- Department of Applied Mathematics, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Erik Saberski
- Scripps Institution of Oceanography, University of California, San Diego, San Diego, CA, USA
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Teixeira JE, Forte P, Ferraz R, Branquinho L, Morgans R, Silva AJ, Monteiro AM, Barbosa TM. Resultant equations for training load monitoring during a standard microcycle in sub-elite youth football: a principal components approach. PeerJ 2023; 11:e15806. [PMID: 37554335 PMCID: PMC10405799 DOI: 10.7717/peerj.15806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 07/07/2023] [Indexed: 08/10/2023] Open
Abstract
Applying data-reduction techniques to extract meaningful information from electronic performance and tracking systems (EPTS) has become a hot topic in football training load (TL) monitoring. The aim of this study was to reduce the dimensionality of the internal and external load measures, by a principal component approach, to describe and explain the resultant equations for TL monitoring during a standard in-season microcycle in sub-elite youth football. Additionally, it is intended to identify the most representative measure for each principal component. A principal component analysis (PCA) was conducted with a Monte Carlo parallel analysis and VariMax rotation to extract baseline characteristics, external TL, heart rate (HR)-based measures and perceived exertion. Training data were collected from sixty sub-elite young football players during a 6-week training period using 18 Hz global positioning system (GPS) with inertial sensors, 1 Hz short-range telemetry system, total quality recovery (TQR) and rating of perceived exertion (RPE). Five principal components accounted for 68.7% of the total variance explained in the training data. Resultant equations from PCA was subdivided into: (1) explosiveness, accelerations and impacts (27.4%); (2) high-speed running (16.2%); (3) HR-based measures (10.0%); (4) baseline characteristics (8.3%); and (5) average running velocity (6.7%). Considering the highest factor in each principal component, decelerations (PCA 1), sprint distance (PCA 2), average HR (PCA 3), chronological age (PCA 4) and maximal speed (PCA 5) are the conditional dimension to be considered in TL monitoring during a standard microcycle in sub-elite youth football players. Current research provides the first composite equations to extract the most representative components during a standard in-season microcycle in sub-elite youth football players. Futures research should expand the resultant equations within training days, by considering other well-being measures, technical-tactical skills and match-related contextual factors.
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Affiliation(s)
- José Eduardo Teixeira
- Research Centre in Sports, Health and Human Development, Covilhã, Portugal
- Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança, Portugal
- Department of Sport Sciences, Polytechnic Institute of Guarda, Guarda, Portugal
| | - Pedro Forte
- Research Centre in Sports, Health and Human Development, Covilhã, Portugal
- Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança, Portugal
- CI-ISCE Douro, Higher Institute of Educational Sciences of the Douro, Penafiel, Portugal
| | - Ricardo Ferraz
- Research Centre in Sports, Health and Human Development, Covilhã, Portugal
- Department of Sport Sciences, University of Beira Interior, Covilhã, Portugal
| | - Luís Branquinho
- Research Centre in Sports, Health and Human Development, Covilhã, Portugal
- CI-ISCE Douro, Higher Institute of Educational Sciences of the Douro, Penafiel, Portugal
| | - Ryland Morgans
- Institute for Coaching and Performance, University of Central Lancashire, Preston, United Kingdom
| | - António José Silva
- Research Centre in Sports, Health and Human Development, Covilhã, Portugal
- Sport Sciences, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal
| | - António Miguel Monteiro
- Research Centre in Sports, Health and Human Development, Covilhã, Portugal
- Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança, Portugal
| | - Tiago M. Barbosa
- Research Centre in Sports, Health and Human Development, Covilhã, Portugal
- Department of Sport Sciences, Instituto Politécnico de Bragança, Bragança, Portugal
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Hu X, Baba NT, Philippe K, Jiang D, Boisbluche S, Maurelli O, Prioux J. Effects of preseason training on body composition, running performance, biochemical markers and workload variation in professional rugby union players. Heliyon 2023; 9:e16250. [PMID: 37265613 PMCID: PMC10230214 DOI: 10.1016/j.heliyon.2023.e16250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 05/02/2023] [Accepted: 05/10/2023] [Indexed: 06/03/2023] Open
Abstract
Few studies have examined the impact of a preseason training intervention through systematic measures in Pro D2 rugby union (RU). Therefore, this study aimed to describe the effects of 12 weeks of preseason training (three blocks) on body composition, running performance, biochemical markers, and workload (WL) variation in professional RU players. Physiological (physical and biochemical) responses to preseason WL were analyzed by examining changes in anthropometric characteristics, Yo-Yo intermittent recovery level 1 (Yo-Yo IR1) test, blood samples (BS), Hooper index (1-7), the 10-Hz global positioning system (GPS), and session rating of perceived exertion (s-RPE) in nineteen elite male players. Changes throughout the preseason were analyzed using the one-way and mixed-model analysis of variance. Significant (p < 0.01) improvements occurred in anthropometry and Yo-Yo IR1 running performance in forwards and backs. Total distance (p < 0.01) and impact (p < 0.05) during the second block were meaningfully higher than the other two blocks, with backs showing higher values than forwards. As expected, WL decreased significantly (p < 0.01) during the last training block. The WL variations were correlated with changes in biochemical markers over the preseason period. The collected data can be used for i) profiling French Pro D2 rugby championships players, ii) establishing effective training strategies, and iii) setting preseason WL expectations.
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Affiliation(s)
- Xiaopan Hu
- Sino-French Joint Research Center of Sport Science, Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, College of Physical Education and Health, East China Normal University, 200241 Shanghai, China
- Movement, Sport, Health Laboratory, Rennes 2 University, 35170 Bruz, France
- Department of Sports Sciences and Physical Education, École Normale Supérieure de Rennes, 35170 Bruz, France
| | - Noe Thierry Baba
- Department of Physical Education and Sport Science, University of Limerick, V94 XD21 Limerick, Ireland
| | - Kilian Philippe
- Movement, Sport, Health Laboratory, Rennes 2 University, 35170 Bruz, France
- Department of Sports Sciences and Physical Education, École Normale Supérieure de Rennes, 35170 Bruz, France
- Laboratory of Movement, Balance, Performance and Health, University of Pau and Pays de l’Adour, 65000 Tarbes, France
| | - Danyang Jiang
- Ersha Sports Training Center of Guangdong Province, 510105 Guangdong, China
| | - Simon Boisbluche
- Rugby Club Vannes, French Rugby Federation, 56000 Vannes, France
| | - Olivier Maurelli
- Muscle Dynamics and Metabolism Laboratory, University of Montpellier, 34060 Montpellier, France
| | - Jacques Prioux
- Sino-French Joint Research Center of Sport Science, Key Laboratory of Adolescent Health Assessment and Exercise Intervention of Ministry of Education, College of Physical Education and Health, East China Normal University, 200241 Shanghai, China
- Movement, Sport, Health Laboratory, Rennes 2 University, 35170 Bruz, France
- Department of Sports Sciences and Physical Education, École Normale Supérieure de Rennes, 35170 Bruz, France
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Kobal R, Carvalho L, Jacob R, Rossetti M, de Paula Oliveira L, Do Carmo EC, Barroso R. Comparison among U-17, U-20, and Professional Female Soccer in the GPS Profiles during Brazilian Championships. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:16642. [PMID: 36554521 PMCID: PMC9779822 DOI: 10.3390/ijerph192416642] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 11/22/2022] [Accepted: 11/30/2022] [Indexed: 06/17/2023]
Abstract
The purpose of this study was to compare and characterize the physical demand of official matches among under-17 (U-17), under-20 (U-20), and professional (Pro) female soccer players. All matches were from the U-17, U-20, and Pro National Brazilian Championships. Fourteen Pro matches, nine U-20 matches, and four U-17 matches were analyzed. The external load was measured by the global positioning system (GPS) and the internal workload was assessed by the ratings of perceived exertion (RPE) multiplied by the duration of the match. The activity profiles measured were total distance covered (km), total sprint distance (m) (speed > 18 km·h-1), number of accelerations and decelerations (between 1 and 2 m·s-2 and >3 m·s-2), and top speed (km·h-1). For the analysis, we standardized all the metrics (except the top speed) by the time (in minutes) played. The Pro group presented higher sprint distances, number of accelerations and decelerations, and top speeds, compared to U-20 and U-17. There was no difference in the total distance among groups, and there was no difference in any GPS metrics between U-20 and U-17. The RPE was higher in Pro and U-17, compared to U-20; however, the workload-RPE was higher in Pro, compared to both U-17 and U-20 groups. These findings provide important information for the evolution of physical performance according to age categories in elite female soccer players.
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Affiliation(s)
- Ronaldo Kobal
- School of Physical Education, University of Campinas, Campinas 13083-851, Brazil
- Sport Club Corinthians Paulista, São Paulo 03087-000, Brazil
| | - Leonardo Carvalho
- School of Physical Education, University of Campinas, Campinas 13083-851, Brazil
| | - Raíssa Jacob
- Sport Club Corinthians Paulista, São Paulo 03087-000, Brazil
| | | | - Lucas de Paula Oliveira
- School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto 14040-900, Brazil
| | | | - Renato Barroso
- School of Physical Education, University of Campinas, Campinas 13083-851, Brazil
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Teixeira JE, Branquinho L, Ferraz R, Leal M, Silva AJ, Barbosa TM, Monteiro AM, Forte P. Weekly Training Load across a Standard Microcycle in a Sub-Elite Youth Football Academy: A Comparison between Starters and Non-Starters. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191811611. [PMID: 36141883 PMCID: PMC9517031 DOI: 10.3390/ijerph191811611] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/11/2022] [Accepted: 09/13/2022] [Indexed: 05/12/2023]
Abstract
Compensatory training sessions have been highlighted as useful strategies to solve the differential weekly training load between the players' starting status. However, the influence of the players' starting status is still understudied in sub-elite youth football. Thus, the aim of this study was to compare the weekly training load on a standard microcycle in starters and non-starters of a sub-elite youth football academy. The weekly training load of 60 young sub-elite football players was monitored during a 6-week period using an 18 Hz global positioning system (GPS), 1 Hz telemetry heart rate, rating of perceived exertion (RPE), and total quality recovery (TQR). The total distance (TD) covered presented a significant difference between starters and non-starters with a moderate effect (t = -2.38, Δ = -428.03 m, p = 0.018, d = 0.26). Training volume was higher in non-starters than in starter players (TDStarters = 5105.53 ± 1684.22 vs. TDNon-starters = 5533.56 ± 1549.26 m). Significant interactive effects were found between a player's starting status, playing time, and session duration in overall training load variables for within (F = 140.46; η2 = 0.85; p < 0.001) and between-subjects (F = 11.63 to 160.70; η2 = 0.05 to 0.76; p < 0.001). The player's starting status seems to only influence the training volume in sub-elite youth football, unless one considers the covariance of the playing time and session duration. Consequently, coaches should prioritize complementary training to equalize training volume and emphasize similar practice opportunities for non-starters. Future studies should evaluate the gap between training and match load, measuring the impact of recovery and compensatory sessions.
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Affiliation(s)
- José E. Teixeira
- Research Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, Portugal
- Departamento de Desporto e Educação Física, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
- Correspondence:
| | - Luís Branquinho
- Research Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, Portugal
- Department of Sports, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal
| | - Ricardo Ferraz
- Research Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, Portugal
- Department of Sports Sciences, University of Beira Interior, 6201-001 Covilhã, Portugal
| | - Miguel Leal
- Department of Sports, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal
| | - António J. Silva
- Research Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, Portugal
- Department of Sports, Exercise and Health Sciences, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
| | - Tiago M. Barbosa
- Research Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, Portugal
- Departamento de Desporto e Educação Física, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
| | - António M. Monteiro
- Research Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, Portugal
- Departamento de Desporto e Educação Física, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
| | - Pedro Forte
- Research Centre in Sports Sciences, Health and Human Development, 5001-801 Vila Real, Portugal
- Departamento de Desporto e Educação Física, Instituto Politécnico de Bragança, 5300-253 Bragança, Portugal
- Department of Sports, Higher Institute of Educational Sciences of the Douro, 4560-708 Penafiel, Portugal
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Analysis of the Association between Internal and External Training Load Indicators in Elite Soccer; Multiple Regression Study. Sports (Basel) 2022; 10:sports10090135. [PMID: 36136390 PMCID: PMC9501017 DOI: 10.3390/sports10090135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 12/02/2022] Open
Abstract
The aim of this study was to identify the external training load (ETL) variables that are most influential on the session rating of perceived exertion (sRPE) during elite soccer training. The participants (n = 29) were adult male soccer players from a single team that competed in Croatia’s highest national soccer competition in the 2021/2022 season. Data were collected using the 10 Hz Global Positioning System from 66 training sessions, and a total of 1061 training observations were undertaken. The univariate and multivariate relationships among the predictors (ETL variables) and the criterion (sRPE) were assessed using forward stepwise multiple regressions and Pearson’s correlations, respectively. ETL variables explained 63% of the variance in the sRPE (Multiple R = 0.79; p < 0.01), and the model was successfully cross-validated. The significant partial regressors were total distance (β = 0.66), metres per minute (β = −0.47), high-intensity accelerations (β = 0.22) and decelerations (β = 0.18), and sprint distance (β = 0.14). All ETL variables were significantly correlated with the sRPE (all p < 0.01), with the highest correlations found for total distance covered (r = 0.70) and high-intensity accelerations and decelerations (r = 0.62 and 0.65, respectively). Such results show that (i) the total distance and acceleration rates during the training sessions are the most important predictors of the sRPE, and (ii) a combination of different ETL variables predicts the sRPE better than any individual parameter alone. This study shows that both the volume and intensity of training are related to players’ internal responses. The findings ultimately provide further evidence to support the use of sRPE as a global measure of training load in soccer players.
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Seasonal variations of the relationships between measures of training monotony and strain in professional soccer players. Sci Rep 2022; 12:10930. [PMID: 35768514 PMCID: PMC9243248 DOI: 10.1038/s41598-022-15278-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 06/21/2022] [Indexed: 11/09/2022] Open
Abstract
The purposes of this study were (a) to determine the variations in internal and external measures of training monotony (TM) and strain (TS) in professional soccer players according to periods of the season and playing positions, and (b) to analyze the relationships between internal and external measures of TM and TS. Twenty male professional players (age = 29.4 ± 4.4 years) were followed for 20 weeks through session rating of perceived exertion (s-RPE), total distance (TD), high-speed running distance (HSRD) and sprint distance (SpD). Regardless of measure, highest mean TM and TS scores were observed in mid-season and end-season. In general, wingers and strikers tended to have greater values in TM. Midfielders exhibited greater TS of TD and SpD. Correlation results for TM revealed that s-RPE was positively associated with SpD in early-season (r = 0.608) and negatively associated in mid-season (r = − 0.506). Regarding the TS, result demonstrated that s-RPE is negatively associated with HSRD in early-season (r = − 0.464) and positively associated in mid-season (r = 0.476). In general, there different meanings in correlations between internal and external measures across the season. On the one hand, our findings highlighted that TM and TS of professional soccer players is sensitive to period of the season and player’s position, but on other hand, correlation analyses proved that changes in one external/internal measure does not cause changes in another external/internal measure which support the constant monitoring of these values across the season.
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Rentz LE, Hornsby WG, Gawel WJ, Rawls BG, Ramadan J, Galster SM. Contextual Variation in External and Internal Workloads across the Competitive Season of a Collegiate Women's Soccer Team. Sports (Basel) 2021; 9:sports9120165. [PMID: 34941803 PMCID: PMC8708705 DOI: 10.3390/sports9120165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/28/2021] [Accepted: 12/06/2021] [Indexed: 11/16/2022] Open
Abstract
As sports technology has continued to develop, monitoring athlete workloads, performance, and recovery has demonstrated boundless benefits for athlete and team success. Specifically, technologies such as global positioning systems (GPS) and heart rate (HR) monitors have granted the opportunity to delve deeper into performance contributors, and how variations may exist based upon context. A team of NCAA Division I women’s soccer athletes were monitored during games throughout one competitive season. Individual athlete, positional groups, and team external and internal workloads were explored for differences based upon game location, opponent ranking, game result, and the final score differential. Game location and opponent ranking were found to have no effect on team-wide absolute or relative external workloads, whereas game result and score differential did. Internal workloads across the team tended to only vary by game half, independent of game context; however, the HR of defenders was determined to be higher during losses as compared to wins (p = 0.0256). Notably, the games that resulted in losses also represented the games with the fewest number of substitutions. These findings suggest high value in monitoring performance and workloads that are characteristic of varying, often multifaceted, contexts. It is hoped that this information can lead to more informed approaches to vital game-time and coaching decisions.
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Affiliation(s)
- Lauren E. Rentz
- Human Performance Innovation Center, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV 26505, USA; (B.G.R.); (J.R.); (S.M.G.)
- Correspondence:
| | - William Guy Hornsby
- College of Physical Activity and Sport Sciences, West Virginia University, Morgantown, WV 26505, USA; (W.G.H.); (W.J.G.)
| | - Wesley J. Gawel
- College of Physical Activity and Sport Sciences, West Virginia University, Morgantown, WV 26505, USA; (W.G.H.); (W.J.G.)
| | - Bobby G. Rawls
- Human Performance Innovation Center, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV 26505, USA; (B.G.R.); (J.R.); (S.M.G.)
| | - Jad Ramadan
- Human Performance Innovation Center, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV 26505, USA; (B.G.R.); (J.R.); (S.M.G.)
| | - Scott M. Galster
- Human Performance Innovation Center, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV 26505, USA; (B.G.R.); (J.R.); (S.M.G.)
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