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Zhou Q, Chen Y, Zhou C, Wang J. Long-term motor training enhances functional connectivity between semantic and motor regions in an effector-specific manner: evidence from elite female football athletes. Brain Struct Funct 2024; 229:1447-1459. [PMID: 38814332 DOI: 10.1007/s00429-024-02808-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/13/2024] [Indexed: 05/31/2024]
Abstract
The relation between the action verb semantic processing and sensorimotor experience remains controversial. In this study, we examined whether plasticity changes in brain are specifically related to semantic processing of foot action verbs when long-term motor training is mainly aimed at the foot. To address this question, we acquired resting-state functional magnetic resonance imaging scans and behavioral data from a verb two-choice task from female expertise football players and football novices. We compared the resting-state functional connectivity (rsFC) differences between experts and novices using motor execution regions and general semantic regions (left anterior temporal lobe, lATL) as seed, and explored the neural correlates of behavioral performance. Here, the drift rate (v) parameter of the drift diffusion model (DDM) was used to capture the semantic processing capability. We found experts showed increased correlation between lATL subregions and important brain regions for motor processing, including supplementary motor area (SMA), bilateral paracentral lobule (PL), superior parietal lobule and inferior parietal lobule, in contrast to novices. Further predictive model analysis showed the FC found in rsFC analysis can significantly predict drift rate of foot action verb in both experts and novices, but not drift rate of hand action verb. Our findings therefore establish a connection between effector-related semantic processing and the plasticity changes in brain functional connectivity, attributable to long-term foot-related motor training. This provides evidence supporting the view that semantic processing is fundamentally rooted in the sensorimotor system.
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Affiliation(s)
- Qingcan Zhou
- Department of Sports Industry, Graduate School of Sports Industry, Kookmin University, Seoul, 142820, South Korea
| | - Yanzhang Chen
- Department of Sport Psychology, School of Sport Science, Shanghai University of Sport, Shanghai, 200438, People's Republic of China
- Center for Exercise and Brain Science, Shanghai University of Sport, Shanghai, 200438, People's Republic of China
| | - Chenglin Zhou
- Department of Sport Psychology, School of Sport Science, Shanghai University of Sport, Shanghai, 200438, People's Republic of China
- Center for Exercise and Brain Science, Shanghai University of Sport, Shanghai, 200438, People's Republic of China
| | - Jian Wang
- Department of Sport Psychology, School of Sport Science, Shanghai University of Sport, Shanghai, 200438, People's Republic of China.
- Center for Exercise and Brain Science, Shanghai University of Sport, Shanghai, 200438, People's Republic of China.
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2
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Li W, Wang B, Yuan H, Chen J, Chen G, Wang Y, Wen S. Effects of acute aerobic exercise on resting state functional connectivity of motor cortex in college students. Sci Rep 2024; 14:14837. [PMID: 38937472 PMCID: PMC11211492 DOI: 10.1038/s41598-024-63140-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 05/24/2024] [Indexed: 06/29/2024] Open
Abstract
This study intends to inspect the effects of acute aerobic exercise (AE) on resting state functional connectivity (RSFC) in motor cortex of college students and the moderating effect of fitness level. METHODS 20 high fitness level college students and 20 ordinary college students were recruited in public. Subjects completed 25 min of moderate- and high-intensity acute aerobic exercise respectively by a bicycle ergometer, and the motor cortex's blood oxygen signals in resting state were monitored by functional Near Infrared Spectroscopy (fNIRS, the Shimadzu portable Light NIRS, Japan) in pre- and post-test. RESULTS At the moderate intensity level, the total mean value of RSFC pre- and post-test was significantly different in the high fitness level group (pre-test 0.62 ± 0.18, post-test 0.51 ± 0.17, t(19) = 2.61, p = 0.02, d = 0.58), but no significant change was found in the low fitness level group. At the high-intensity level, there was no significant difference in the difference of total RSFC between pre- and post-test in the high and low fitness group. According to and change trend of 190 "edges": at the moderate-intensity level, the number of difference edges in the high fitness group (d = 0.58, 23) were significantly higher than those in the low fitness group (d = 0.32, 15), while at high-intensity level, there was a reverse trend between the high fitness group (d = 0.25, 18) and the low fitness group (d = 0.39, 23). CONCLUSIONS moderate-intensity AE can cause significant changes of RSFC in the motor cortex of college students with high fitness, while high fitness has a moderating effect on the relationship between exercise intensity and RSFC. RSFC of people with high fitness is more likely to be affected by AE and show a wider range of changes.
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Affiliation(s)
- Wenyi Li
- Department of Physical Education and Training, Capital University of Physical Education and Sports, Beijing, 100191, China
| | - Bingyang Wang
- Department of Physical Education and Training, Capital University of Physical Education and Sports, Beijing, 100191, China
| | - Haoteng Yuan
- Department of Ideological, Political and General Education, Guangzhou Huashang Vocational College, Jiangmen, 529152, Guangdong, China
| | - Jun Chen
- Department of Physical Education and Training, Capital University of Physical Education and Sports, Beijing, 100191, China
| | - Gonghe Chen
- Department of Physical Education, Changsha Medical University, Changsha, 410000, Hunan, China
| | - Yue Wang
- Department of Physical Education, North China Institute of Aerospace Engineering, Langfang, 065000, Hebei, China
| | - Shilin Wen
- Department of Physical Education and Training, Capital University of Physical Education and Sports, Beijing, 100191, China.
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3
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Potvin-Desrochers A, Atri A, Clouette J, Hepple RT, Taivassalo T, Paquette C. Resting-state Functional Connectivity of the Motor and Cognitive Areas is Preserved in Masters Athletes. Neuroscience 2024; 546:53-62. [PMID: 38522662 DOI: 10.1016/j.neuroscience.2024.03.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 03/16/2024] [Accepted: 03/19/2024] [Indexed: 03/26/2024]
Abstract
Aging is characterized by a decline in physical and cognitive functions, often resulting in decreased quality of life. Physical activity has been suggested to potentially slow down various aspects of the aging process, a theory that has been supported by studies of Masters Athletes (MA). For example, MA usually have better cognitive and physical functions than age-matched sedentary and healthy older adults (OA), making them a valuable model to gain insights into mechanisms that promote physical and cognitive function with aging. The purpose of this study was to identify differences in resting-state functional connectivity (rs-FC) of motor and cognitive regions between MA and OA and determine if these differences in the resting brain are associated with differences in cognitive and physical performance between groups. Fifteen MA (9 males) and 12 age-matched OA (six males) were included. rs-FC images were compared to identify significant between-groups differences in brain connectivity. There was higher connectivity between the cognitive and motor networks for the OA group, whereas the MA group had stronger connectivity between different regions within the same network, both for the cognitive and the motor networks. These results are in line with the literature suggesting that aging reduces the segregation between functional networks and causes regions within the same network to be less strongly connected. High-level physical activity practiced by the MA most likely contributes to attenuating aging-related changes in brain functional connectivity, preserving clearer boundaries between different functional networks, which may ultimately favor maintenance of efficient cognitive and sensorimotor processing.
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Affiliation(s)
- Alexandra Potvin-Desrochers
- Department of Kinesiology and Physical Education, McGill University, 475 Pine Ave., Montreal, Quebec, Canada; Jewish Rehabilitation Hospital Site of CISSS-Laval and Research Site of the Montreal Centre for Interdisciplinary Research in Rehabilitation (CRIR), 3205 Place Alton-Goldbloom, Laval, Quebec, Canada; Integrated Program in Neuroscience (IPN), McGill University, 1033 Pine Ave, Montreal, Quebec, Canada
| | - Alisha Atri
- Department of Kinesiology and Physical Education, McGill University, 475 Pine Ave., Montreal, Quebec, Canada; Jewish Rehabilitation Hospital Site of CISSS-Laval and Research Site of the Montreal Centre for Interdisciplinary Research in Rehabilitation (CRIR), 3205 Place Alton-Goldbloom, Laval, Quebec, Canada
| | - Julien Clouette
- Department of Kinesiology and Physical Education, McGill University, 475 Pine Ave., Montreal, Quebec, Canada; Jewish Rehabilitation Hospital Site of CISSS-Laval and Research Site of the Montreal Centre for Interdisciplinary Research in Rehabilitation (CRIR), 3205 Place Alton-Goldbloom, Laval, Quebec, Canada
| | - Russell T Hepple
- Department of Physical Therapy, University of Florida, 101 Newell Dr, Gainesville, FL, USA; Department of Physiology and Functional Genomics, University of Florida, 1600 SW Archer Rd, Gainesville, FL, USA
| | - Tanja Taivassalo
- Department of Physiology and Functional Genomics, University of Florida, 1600 SW Archer Rd, Gainesville, FL, USA
| | - Caroline Paquette
- Department of Kinesiology and Physical Education, McGill University, 475 Pine Ave., Montreal, Quebec, Canada; Jewish Rehabilitation Hospital Site of CISSS-Laval and Research Site of the Montreal Centre for Interdisciplinary Research in Rehabilitation (CRIR), 3205 Place Alton-Goldbloom, Laval, Quebec, Canada; Integrated Program in Neuroscience (IPN), McGill University, 1033 Pine Ave, Montreal, Quebec, Canada.
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4
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Chen Y, He H, Ding Y, Tao W, Guan Q, Krueger F. Connectome-based prediction of decreased trust propensity in older adults with mild cognitive impairment: A resting-state functional magnetic resonance imaging study. Neuroimage 2024; 292:120605. [PMID: 38615705 DOI: 10.1016/j.neuroimage.2024.120605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 03/19/2024] [Accepted: 04/08/2024] [Indexed: 04/16/2024] Open
Abstract
Trust propensity (TP) relies more on social than economic rationality to transform the perceived probability of betrayal into positive reciprocity expectations in older adults with normal cognition. While deficits in social rationality have been observed in older adults with mild cognitive impairment (MCI), there is limited research on TP and its associated resting-state functional connectivity (RSFC) mechanisms in this population. To measure TP and related psychological functions (affect, motivation, executive cognition, and social cognition), MCI (n = 42) and normal healthy control (NHC, n = 115) groups completed a one-shot trust game and additional assessments of related psychological functions. RSFC associated with TP was analyzed using connectome-based predictive modeling (CPM) and lesion simulations. Our behavioral results showed that the MCI group trusted less (i.e., had lower TP) than the NHC group, with lower TP associated with higher sensitivity to the probability of betrayal in the MCI group. In the MCI group, only negative CPM models (RSFC negatively correlated with TP) significantly predicted TP, with a high salience network (SN) contribution. In contrast, in the NHC group, positive CPM models (RSFC positively correlated with TP) significantly predicted TP, with a high contribution from the default mode network (DMN). In addition, the total network strength of the NHC-specific positive network was lower in the MCI group than in the NHC group. Our findings demonstrated a decrease in TP in the MCI group compared to the NHC group, which is associated with deficits in social rationality (social cognition, associated with DMN) and increased sensitivity to betrayal (affect, associated with SN) in a trust dilemma. In conclusion, our study contributes to understanding MCI-related alterations in trust and their underlying neural mechanisms.
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Affiliation(s)
- Yiqi Chen
- School of Psychology, Shenzhen University, Shenzhen 518060, China; Department of Psychology, University of Mannheim, Mannheim 68131, Germany
| | - Hao He
- School of Psychology, Shenzhen University, Shenzhen 518060, China; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
| | - Yiyang Ding
- School of Psychology, Shenzhen University, Shenzhen 518060, China
| | - Wuhai Tao
- School of Psychology, Shenzhen University, Shenzhen 518060, China; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China.
| | - Qing Guan
- School of Psychology, Shenzhen University, Shenzhen 518060, China; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China.
| | - Frank Krueger
- Department of Psychology, University of Mannheim, Mannheim 68131, Germany; School of Systems Biology, George Mason University, Fair, VA, USA
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5
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Yan S, Zhao G, Zhang Q, Liu L, Bai X, Jin H. Altered resting-state brain function in endurance athletes. Cereb Cortex 2024; 34:bhae076. [PMID: 38494416 DOI: 10.1093/cercor/bhae076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 02/01/2024] [Accepted: 02/02/2024] [Indexed: 03/19/2024] Open
Abstract
Previous research has confirmed significant differences in regional brain activity and functional connectivity between endurance athletes and non-athletes. However, no studies have investigated the differences in topological efficiency of the brain functional network between endurance athletes and non-athletes. Here, we compared differences in regional activities, functional connectivity, and topological properties to explore the functional basis associated with endurance training. The results showed significant correlations between Regional Homogeneity in the motor cortex, visual cortex, cerebellum, and the training intensity parameters. Alterations in functional connectivity among the motor cortex, visual cortex, cerebellum, and the inferior frontal gyrus and cingulate gyrus were significantly correlated with training intensity parameters. In addition, the graph theoretical analysis results revealed a significant reduction in global efficiency among athletes. This decline is mainly caused by decreased nodal efficiency and nodal local efficiency of the cerebellar regions. Notably, the sensorimotor regions, such as the precentral gyrus and supplementary motor areas, still exhibit increased nodal efficiency and nodal local efficiency. This study not only confirms the improvement of regional activity in brain regions related to endurance training, but also offers novel insights into the mechanisms through which endurance athletes undergo changes in the topological efficiency of the brain functional network.
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Affiliation(s)
- Shizhen Yan
- School of Health, Fujian Medical University, Fuzhou 350122, China
| | - Guang Zhao
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
| | - Qihan Zhang
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
| | - Liqing Liu
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
| | - Xuejun Bai
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
| | - Hua Jin
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
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6
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Randolph JJ, Lacritz LH, Colvin MK, Espe-Pfeifer P, Carter KR, Arnett PA, Fox-Fuller J, Aduen PA, Cullum CM, Sperling SA. Integrating Lifestyle Factor Science into Neuropsychological Practice: A National Academy of Neuropsychology Education Paper. Arch Clin Neuropsychol 2024; 39:121-139. [PMID: 37873931 DOI: 10.1093/arclin/acad078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/26/2023] [Indexed: 10/25/2023] Open
Abstract
OBJECTIVE The primary aim of this paper is to review evidence and clinical implications related to lifestyle activities associated with promoting brain and cognitive health. Our review targets four key lifestyle factors: physical activity and exercise, social engagement, cognitively stimulating activity, and consuming Mediterranean-style diets. METHOD We conducted a critical review of the lifestyle factor literature in the four domains listed earlier. We contextualize this literature review by translating findings, when possible, into evidence-based recommendations to consider when providing neuropsychological services. RESULTS There is significant current evidence supporting the role of physical activity and exercise, social engagement, cognitively stimulating activity, and consuming Mediterranean-style diets on positive brain and cognitive health outcomes. While some null findings are present in all four areas reviewed, the weight of the evidence supports the notion that engaging in these activities may promote brain and cognitive functioning. CONCLUSIONS Clinical neuropsychologists can have confidence in recommending engagement in physical activity, social activity, and cognitively stimulating activity, and adhering to a Mediterranean-style diet to promote brain and cognitive health. We discuss limitations in existing lifestyle factor research and future directions to enhance the existing evidence base, including additional research with historically underrepresented groups and individuals with neurological conditions.
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Affiliation(s)
- John J Randolph
- Department of Psychiatry, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- Randolph Neuropsychology Associates, PLLC, Lebanon, NH, USA
| | - Laura H Lacritz
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Mary K Colvin
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Patricia Espe-Pfeifer
- Department of Psychiatry & Pediatrics, University of Iowa Hospitals and Clinics, Iowa City, IA, USA
| | | | - Peter A Arnett
- Psychology Department, The Pennsylvania State University, University Park, PA, USA
| | - Joshua Fox-Fuller
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Paula A Aduen
- Department of Psychiatry and Psychology, Mayo Clinic College of Medicine, Jacksonville, FL, USA
| | - C Munro Cullum
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Scott A Sperling
- Center for Neurological Restoration, Department of Neurology, Cleveland Clinic, Cleveland, Ohio, USA
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7
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Fitzgerald B, Bari S, Vike N, Lee TA, Lycke RJ, Auger JD, Leverenz LJ, Nauman E, Goñi J, Talavage TM. Longitudinal changes in resting state fMRI brain self-similarity of asymptomatic high school American football athletes. Sci Rep 2024; 14:1747. [PMID: 38243048 PMCID: PMC10799081 DOI: 10.1038/s41598-024-51688-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Accepted: 01/08/2024] [Indexed: 01/21/2024] Open
Abstract
American football has become the focus of numerous studies highlighting a growing concern that cumulative exposure to repetitive, sports-related head acceleration events (HAEs) may have negative consequences for brain health, even in the absence of a diagnosed concussion. In this longitudinal study, brain functional connectivity was analyzed in a cohort of high school American football athletes over a single play season and compared against participants in non-collision high school sports. Football athletes underwent four resting-state functional magnetic resonance imaging sessions: once before (pre-season), twice during (in-season), and once 34-80 days after the contact activities play season ended (post-season). For each imaging session, functional connectomes (FCs) were computed for each athlete and compared across sessions using a metric reflecting the (self) similarity between two FCs. HAEs were monitored during all practices and games throughout the season using head-mounted sensors. Relative to the pre-season scan session, football athletes exhibited decreased FC self-similarity at the later in-season session, with apparent recovery of self-similarity by the time of the post-season session. In addition, both within and post-season self-similarity was correlated with cumulative exposure to head acceleration events. These results suggest that repetitive exposure to HAEs produces alterations in functional brain connectivity and highlight the necessity of collision-free recovery periods for football athletes.
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Affiliation(s)
- Bradley Fitzgerald
- Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
| | - Sumra Bari
- Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
- Department of Computer Science, University of Cincinnati, Cincinnati, OH, USA
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA
| | - Nicole Vike
- Department of Computer Science, University of Cincinnati, Cincinnati, OH, USA
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA
- Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, USA
| | - Taylor A Lee
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
| | - Roy J Lycke
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA
| | - Joshua D Auger
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
| | - Larry J Leverenz
- Department of Health and Kinesiology, Purdue University, West Lafayette, IN, USA
| | - Eric Nauman
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA
- Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, USA
- School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
| | - Joaquín Goñi
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
- School of Industrial Engineering, Purdue University, West Lafayette, IN, USA
- Purdue Institute for Integrative Neuroscience, Purdue University, West Lafayette, IN, USA
| | - Thomas M Talavage
- Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA
- Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA
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8
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Nuernberger M, Finke K, Nuernberger L, Ruiz-Rizzo AL, Gaser C, Klingner C, Witte OW, Brodoehl S. Visual stimulation by extensive visual media consumption can be beneficial for motor learning. Sci Rep 2023; 13:22056. [PMID: 38086999 PMCID: PMC10716399 DOI: 10.1038/s41598-023-49415-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 12/07/2023] [Indexed: 12/18/2023] Open
Abstract
In this randomized controlled intervention trial, we investigated whether intense visual stimulation through television watching can enhance visual information processing and motor learning performance. 74 healthy young adults were trained in a motor skill with visual information processing demands while being accommodated in a controlled environment for five days. The experimental manipulation (n = 37) consisted of prolonged television watching (i.e., 8 h/day, + 62.5% on average) to induce intense exposure to visual stimulation. The control group (n = 37) did not consume visual media. The groups were compared by motor learning performance throughout the study as well as pre/post visual attention parameters and resting-state network connectivity in functional MRI. We found that the intervention group performed significantly better in the motor learning task (+ 8.21% (95%-CI[12.04, 4.31], t(70) = 4.23, p < 0.001) while showing an increased capacity of visual short-term memory (+ 0.254, t(58) = - 3.19, p = 0.002) and increased connectivity between visual and motor-learning associated resting-state networks. Our findings suggest that the human brain might enter a state of accentuated visuomotor integration to support the implementation of motor learning with visual information processing demands if challenged by ample input of visual stimulation. Further investigation is needed to evaluate the persistence of this effect regarding participants exposed to accustomed amounts of visual media consumption.Clinical Trials Registration: This trial was registered in the German Clinical Trials Register/Deutsches Register klinischer Studien (DRKS): DRKS00019955.
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Affiliation(s)
- Matthias Nuernberger
- Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany.
- Biomagnetic Center, Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany.
| | - Kathrin Finke
- Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Lisa Nuernberger
- Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
- Biomagnetic Center, Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Adriana L Ruiz-Rizzo
- Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Christian Gaser
- Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
- Biomagnetic Center, Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
- German Center for Mental Health (DZPG), Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Carsten Klingner
- Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
- Biomagnetic Center, Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Otto W Witte
- Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
| | - Stefan Brodoehl
- Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
- Biomagnetic Center, Department of Neurology, Jena University Hospital, Friedrich Schiller University, Jena, Germany
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9
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Li J, Huang M, Cao Y, Qin Z, Lang J. Long-term Intensive Soccer Training Induced Dynamic Reconfiguration of Brain Network. Neuroscience 2023; 530:133-143. [PMID: 37640136 DOI: 10.1016/j.neuroscience.2023.08.020] [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: 04/26/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 08/31/2023]
Abstract
Long-term motor skill learning has been shown to impact the functional plasticity of the brain. Athletes, as a unique population, exhibit remarkable adaptive changes in the static properties of their brain networks. However, studying the differences between expert and novice athletes using a dynamic brain network framework can provide a fresh perspective on how motor skill learning affects the functional organization of the brain. In this study, we investigated the dynamic properties of brain networks in expert and novice soccer players at the whole-brain, network, and region-based levels. Our findings revealed that expert soccer players displayed reduced integration and increased segregation at the whole-brain level. As for network level, experts exhibited increased segregation and reduced flexibility in the visual network, enhanced integration between the visual and ventral attention networks, and decreased integration in the subcortical-sensorimotor and subcortical-cerebellar networks. Additionally, specific brain regions within the visual network exhibited greater recruitment in expert soccer players compared to novices at the nodal level. Furthermore, classification analyses demonstrated the critical role played by the visual network in the classification process. In conclusion, our study provides new insights into the dynamic properties of brain networks in expert and novice soccer players, and suggests that reduced integration and increased segregation in the visual network may be neuroimaging marker that distinguish expert soccer players from novices. Our findings may have implications for the training and development of athletes and advance our understanding of how motor skill learning affects brain functional organization.
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Affiliation(s)
- Ju Li
- College of P.E. and Sports, Beijing Normal University, Beijing 100875, China.
| | - Minghao Huang
- College of P.E. and Sports, Beijing Normal University, Beijing 100875, China.
| | - Yaping Cao
- College of P.E. and Sports, Beijing Normal University, Beijing 100875, China.
| | - Zhe Qin
- College of P.E. and Sports, Northwest Normal University, Gansu 730070, China.
| | - Jian Lang
- College of P.E. and Sports, Beijing Normal University, Beijing 100875, China.
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10
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Cao L, Li L, Huang Z, Xia F, Huang R, Ma Y, Qin Y, Wu J, Tong L, Zhang C, Zhang Y, Ren Z. Functional network segregation is associated with higher functional connectivity in endurance runners. Neurosci Lett 2023; 812:137401. [PMID: 37460055 DOI: 10.1016/j.neulet.2023.137401] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/21/2023] [Accepted: 07/14/2023] [Indexed: 07/23/2023]
Abstract
Neuroimaging studies have identified significant differences in brain structure, function, and connectivity between endurance runners and healthy controls. However, the topological organization of large-scale functional brain networks remains unexplored in endurance runners. Using resting-state functional magnetic resonance imaging data, this study examined the differences in the topological organization of functional networks between endurance runners (n = 22) and healthy controls (n = 20). Endurance runners had significantly higher clustering coefficients in the whole-brain functional network than healthy controls, but the two did not differ regarding the shortest path length or small-world index. Using network-based statistics, we identified one subnetwork in endurance runners with higher functional connectivity than healthy controls, and the mean functional connectivity of the subnetwork significantly correlated with the three aforementioned small-world parameters. In this subnetwork, the mean clustering coefficient of nodes associated with short-range connections was higher in endurance runners than in healthy controls, but the mean clustering coefficient of nodes associated with long-range connections did not differ between the two groups. In conclusion, using graph theoretical approaches, we revealed significant differences in the topological organization of the whole-brain functional network and functional connectivity between endurance runners and healthy controls. The relationship between these two features suggests that a more segregated network may arise from the optimization of the identified subnetwork in endurance runners. These findings are possibly the neural basis underlying the good performance of endurance runners in endurance running.
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Affiliation(s)
- Long Cao
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China; Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Lunxiong Li
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, China; Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, 510631 Guangzhou, China
| | - Zitong Huang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Fengguang Xia
- Key Laboratory of Brain, Cognition and Education Science, Ministry of Education, China; Institute for Brain Research and Rehabilitation, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, 510631 Guangzhou, China
| | - Ruiwang Huang
- School of Psychology, South China Normal University, Guangzhou 510631, China
| | - Yudan Ma
- School of Public Teaching, Shanwei Institute of Technology, Shanwei 516600, China
| | - Yifan Qin
- College of Physical Education, Shenzhen University, Shenzhen 518060, China
| | - Jinlong Wu
- College of physical education, Southwest University, Chongqing 400715, China
| | - Li Tong
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China
| | - Chi Zhang
- Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, China
| | - Yuanchao Zhang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
| | - Zhanbing Ren
- College of Physical Education, Shenzhen University, Shenzhen 518060, China.
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Li Y, Zhao M, Cao Y, Gao Y, Wang Y, Yun B, Luo L, Liu W, Zheng C. Static and dynamic resting-state brain activity patterns of table tennis players in 7-Tesla MRI. Front Neurosci 2023; 17:1202932. [PMID: 37521699 PMCID: PMC10375049 DOI: 10.3389/fnins.2023.1202932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 06/27/2023] [Indexed: 08/01/2023] Open
Abstract
Table tennis involves quick and accurate motor responses during training and competition. Multiple studies have reported considerably faster visuomotor responses and expertise-related intrinsic brain activity changes among table tennis players compared with matched controls. However, the underlying neural mechanisms remain unclear. Herein, we performed static and dynamic resting-state functional magnetic resonance imaging (rs-fMRI) analyses of 20 table tennis players and 21 control subjects using 7T ultra-high field imaging. We calculated the static and dynamic amplitude of low-frequency fluctuations (ALFF) of the two groups. The results revealed that table tennis players exhibited decreased static ALFF in the left inferior temporal gyrus (lITG) compared with the control group. Voxel-wised static functional connectivity (sFC) and dynamic functional connectivity (dFC) analyses using lITG as the seed region afforded complementary and overlapping results. The table tennis players exhibited decreased sFC in the right middle temporal gyrus and left inferior parietal gyrus. Conversely, they displayed increased dFC from the lITG to prefrontal cortex, particularly the left middle frontal gyrus, left superior frontal gyrus-medial, and left superior frontal gyrus-dorsolateral. These findings suggest that table tennis players demonstrate altered visuomotor transformation and executive function pathways. Both pathways involve the lITG, which is a vital node in the ventral visual stream. These static and dynamic analyses provide complementary and overlapping results, which may help us better understand the neural mechanisms underlying the changes in intrinsic brain activity and network organization induced by long-term table tennis skill training.
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Affiliation(s)
- Yuyang Li
- Key Laboratory of Medical Neurobiology of Zhejiang Province, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China
| | - Mengqi Zhao
- School of Psychology, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Yuting Cao
- Key Laboratory of Medical Neurobiology of Zhejiang Province, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Yanyan Gao
- School of Psychology, Zhejiang Normal University, Jinhua, China
- Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Yadan Wang
- College of Information and Electronic Technology, Jiamusi University, Jiamusi, China
| | - Bing Yun
- Department of Public Physical and Art Education, Zhejiang University, Hangzhou, China
| | - Le Luo
- Hangzhou Wuyunshan Hospital, Hangzhou, China
| | - Wenming Liu
- Department of Sport Science, College of Education, Zhejiang University, Hangzhou, China
| | - Chanying Zheng
- Key Laboratory of Medical Neurobiology of Zhejiang Province, Interdisciplinary Institute of Neuroscience and Technology, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
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12
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Rogojin A, Gorbet DJ, Hawkins KM, Sergio LE. Differences in resting state functional connectivity underlie visuomotor performance declines in older adults with a genetic risk (APOE ε4) for Alzheimer’s disease. Front Aging Neurosci 2022; 14:1054523. [DOI: 10.3389/fnagi.2022.1054523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/15/2022] [Indexed: 12/04/2022] Open
Abstract
IntroductionNon-standard visuomotor integration requires the interaction of large networks in the brain. Previous findings have shown that non-standard visuomotor performance is impaired in individuals with specific dementia risk factors (family history of dementia and presence of the APOE ε4 allele) in advance of any cognitive impairments. These findings suggest that visuomotor impairments are associated with early dementia-related brain changes. The current study examined the underlying resting state functional connectivity (RSFC) associated with impaired non-standard visuomotor performance, as well as the impacts of dementia family history, sex, and APOE status.MethodsCognitively healthy older adults (n = 48) were tested on four visuomotor tasks where reach and gaze were increasingly spatially dissociated. Participants who had a family history of dementia or the APOE ε4 allele were considered to be at an increased risk for AD. To quantify RSFC within networks of interest, an EPI sequence sensitive to BOLD contrast was collected. The networks of interest were the default mode network (DMN), somatomotor network (SMN), dorsal attention network (DAN), ventral attention network (VAN), and frontoparietal control network (FPN).ResultsIndividuals with the ε4 allele showed abnormalities in RSFC between posterior DMN nodes that predicted poorer non-standard visuomotor performance. Specifically, multiple linear regression analyses revealed lower RSFC between the precuneus/posterior cingulate cortex and the left inferior parietal lobule as well as the left parahippocampal cortex. Presence of the APOE ε4 allele also modified the relationship between mean DAN RSFC and visuomotor control, where lower mean RSFC in the DAN predicted worse non-standard visuomotor performance only in APOE ε4 carriers. There were otherwise no effects of family history, APOE ε4 status, or sex on the relationship between RSFC and visuomotor performance for any of the other resting networks.ConclusionThe preliminary findings provide insight into the impact of APOE ε4-related genetic risk on neural networks underlying complex visuomotor transformations, and demonstrate that the non-standard visuomotor task paradigm discussed in this study may be used as a non-invasive, easily accessible assessment tool for dementia risk.
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Luo L, Xiao M, Luo Y, Yi H, Dong D, Liu Y, Chen X, Li W, Chen H. Knowing what you feel: Inferior frontal gyrus-based structural and functional neural patterns underpinning adaptive body awareness. J Affect Disord 2022; 315:224-233. [PMID: 35901991 DOI: 10.1016/j.jad.2022.07.051] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 07/05/2022] [Accepted: 07/20/2022] [Indexed: 10/16/2022]
Abstract
BACKGROUND Heightened body awareness (BA) is conducive for increasing understanding of bodily state and improves individuals' health and well-being. Although there has been cumulative research concentrating on the self-perceived tendency to focus on negatively valenced interoceptive sensations, the specific structural and functional neural patterns underlying BA and their role in the relationship between BA and individual well-being remain unclear. METHODS Voxel-based morphometry and whole brain functional connectivity analyses were conducted to examine the structural and functional neural patterns, respectively, in 686 healthy subjects. BA and subjective well-being were assessed using questionnaires. RESULTS BA was inversely related to gray matter volume of the right inferior frontal gyrus, opercular part (IFGoperc). Higher BA was correlated with enhanced IFGoperc-precuneus and IFGoperc-anterior supramarginal gyrus connectivities, and with decreased IFGoperc-lateral occipital cortex and IFGoperc-medial frontal cortex connectivities. The inferior frontal gyrus, triangular part (in the fronto-parietal task control network) acted as the hub that linked the sensory/somatomotor network, the default mode network, and the dorsal and ventral attention network. The IFGoperc-precuneus connectivity moderated the association between BA and subjective well-being. LIMITATIONS We were unable to rank all the networks by their relative importance, because the absolute weighted value in each module was not calculated. CONCLUSION Our findings demonstrated that BA was reflected by specific neural patterns mainly involved in cognitive-affective control, attentional and self-referential processing, as well as multisensory integration, which could offer some references for current therapies (e.g., mindfulness, yoga training) that are dedicated to solving health problems and improving individual well-being.
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Affiliation(s)
- Lin Luo
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Mingyue Xiao
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Yijun Luo
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Haijing Yi
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Debo Dong
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Yong Liu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Ximei Chen
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Wei Li
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China
| | - Hong Chen
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, China; Department of Psychology, Southwest University, Chongqing, China.
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14
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Song Q, Cheng X, Zheng R, Yang J, Wu H. Effects of different exercise intensities of race-walking on brain functional connectivity as assessed by functional near-infrared spectroscopy. Front Hum Neurosci 2022; 16:1002793. [PMID: 36310841 PMCID: PMC9614086 DOI: 10.3389/fnhum.2022.1002793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/28/2022] [Indexed: 12/02/2022] Open
Abstract
Introduction Race-walking is a sport that mimics normal walking and running. Previous studies on sports science mainly focused on the cardiovascular and musculoskeletal systems. However, there is still a lack of research on the central nervous system, especially the real-time changes in brain network characteristics during race-walking exercise. This study aimed to use a network perspective to investigate the effects of different exercise intensities on brain functional connectivity. Materials and methods A total of 16 right-handed healthy young athletes were recruited as participants in this study. The cerebral cortex concentration of oxyhemoglobin was measured by functional near-infrared spectroscopy in the bilateral prefrontal cortex (PFC), the motor cortex (MC) and occipital cortex (OC) during resting and race-walking states. Three specific periods as time windows corresponding to different exercise intensities were divided from the race-walking time of participants, including initial, intermediate and sprint stages. The brain activation and functional connectivity (FC) were calculated to describe the 0.01-0.1 Hz frequency-specific cortical activities. Results Compared to the resting state, FC changes mainly exist between MC and OC in the initial stage, while PFC was involved in FC changes in the intermediate stage, and FC changes in the sprint stage were widely present in PFC, MC and OC. In addition, from the initial-development to the sprint stage, the significant changes in FC were displayed in PFC and MC. Conclusion This brain functional connectivity-based study confirmed that hemodynamic changes at different exercise intensities reflected different brain network-specific characteristics. During race-walking exercise, more extensive brain activation might increase information processing speed. Increased exercise intensity could facilitate the integration of neural signals such as proprioception, motor control and motor planning, which may be an important factor for athletes to maintain sustained motor coordination and activity control at high intensity. This study was beneficial to understanding the neural mechanisms of brain networks under different exercise intensities.
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Affiliation(s)
- Qianqian Song
- Capital University of Physical Education and Sports, Beijing, China
- School of Physical Education, Yanshan University, Qinhuangdao, China
| | - Xiaodong Cheng
- Capital University of Physical Education and Sports, Beijing, China
| | - Rongna Zheng
- School of Physical Education, Ludong University, Yantai, China
| | - Jie Yang
- School of Physical Education, Ludong University, Yantai, China
- Jie Yang,
| | - Hao Wu
- Capital University of Physical Education and Sports, Beijing, China
- *Correspondence: Hao Wu,
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15
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Gao Q, Luo N, Sun M, Zhou W, Li Y, Liang M, Yang C, Zhang M, Li R, Gong L, Yu J, Leng J, Chen H. Neural efficiency and proficiency adaptation of effective connectivity corresponding to early and advanced skill levels in athletes of racket sports. Hum Brain Mapp 2022; 44:388-402. [PMID: 36053219 PMCID: PMC9842890 DOI: 10.1002/hbm.26057] [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: 03/14/2022] [Revised: 07/14/2022] [Accepted: 08/14/2022] [Indexed: 01/25/2023] Open
Abstract
This study explored how the neural efficiency and proficiency worked in athletes with different skill levels from the perspective of effective connectivity brain network in resting state. The deconvolved conditioned Granger causality (GC) analysis was applied to functional magnetic resonance imaging (fMRI) data of 35 elite athletes (EAs) and 42 student-athletes (SAs) of racket sports as well as 39 normal controls (NCs), to obtain the voxel-wised hemodynamic response function (HRF) parameters representing the functional segregation and effective connectivity representing the functional integration. The results showed decreased time-to-peak of HRF in the visual attention brain regions in the two athlete groups compared with NC and decreased response height in the advanced motor control brain regions in EA comparing to the nonelite groups, suggesting the neural efficiency represented by the regional HRF was different in early and advanced skill levels. GC analysis demonstrated that the GC values within the middle occipital gyrus had a linear trend from negative to positive, suggesting a stepwise "neural proficiency" of the effective connectivity from NC to SA then to EA. The GC values of the inter-lobe circuits in EA had the trend to regress to NC levels, in agreement with the neural efficiency of these circuits in EA. Further feature selection approach suggested the important role of the cerebral-brainstem GC circuit for discriminating EA. Our findings gave new insight into the complementary neural mechanisms in brain functional segregation and integration, which was associated with early and advanced skill levels in athletes of racket sports.
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Affiliation(s)
- Qing Gao
- Department of RadiologyFirst Affiliated Hospital to Army Medical UniversityChongqingPeople's Republic of China,School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Ning Luo
- School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Mengli Sun
- School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Weiqi Zhou
- School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Yan Li
- School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Minfeng Liang
- School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Chengbo Yang
- The Third Department of Physical Education and TrainingChengdu Sport UniversityChengduPeople's Republic of China
| | - Mu Zhang
- Information Technology CenterChengdu Sport UniversityChengduPeople's Republic of China
| | - Rong Li
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Lisha Gong
- School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Jiali Yu
- School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Jinsong Leng
- School of Mathematical SciencesUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
| | - Huafu Chen
- Department of RadiologyFirst Affiliated Hospital to Army Medical UniversityChongqingPeople's Republic of China,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, High‐Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengduPeople's Republic of China
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16
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Kober SE, Ninaus M, Witte M, Buchrieser F, Grössinger D, Fischmeister FPS, Neuper C, Wood G. Triathletes are experts in self-regulating physical activity - But what about self-regulating neural activity? Biol Psychol 2022; 173:108406. [PMID: 35952864 DOI: 10.1016/j.biopsycho.2022.108406] [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: 06/14/2022] [Revised: 08/01/2022] [Accepted: 08/06/2022] [Indexed: 11/26/2022]
Abstract
Regular exercise improves cognitive control abilities and successful self-regulation of physical activity. However, it is not clear whether exercising also improves the ability to self-regulate one's own brain activity. We investigated this in 26 triathletes and 25 control participants who did not exercise regularly. Within each group half of the participants performed one session of sensorimotor rhythm (SMR, 12-15 Hz) upregulation neurofeedback training, the other half received a sham neurofeedback training. The neurofeedback training session took about 45 min. In a separate session, participants underwent structural magnetic resonance imaging (MRI) to investigate possible differences in brain structure between triathletes and controls. Triathletes and controls were able to voluntarily upregulate their SMR activity during neurofeedback when receiving real feedback. Triathletes showed a stronger increase in SMR activity in the second half of the training compared to controls, suggesting that triathletes are able to self-regulate their own brain activity over a longer period of time. Further, triathletes and controls showed differences in brain structure as reflected by larger gray and white matter volumes in the inferior frontal gyrus and insula compared to controls. These brain areas are generally involved in cognitive control mechanisms. Our results provide new evidence regarding self-regulation abilities of people who exercise regularly and might impact the practical application of neurofeedback.
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Affiliation(s)
- Silvia Erika Kober
- Institute of Psychology, University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria.
| | - Manuel Ninaus
- Institute of Psychology, University of Graz, Graz, Austria; LEAD Graduate School & Research Network, University of Tübingen, Tübingen, Germany.
| | - Matthias Witte
- Institute of Psychology, University of Graz, Graz, Austria; Adidas AG, Herzogenaurach, Germany.
| | | | | | - Florian Ph S Fischmeister
- Institute of Psychology, University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria; Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
| | - Christa Neuper
- Institute of Psychology, University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria; Laboratory of Brain-Computer Interfaces, Institute of Neural Engineering, Graz University of Technology, Graz, Austria.
| | - Guilherme Wood
- Institute of Psychology, University of Graz, Graz, Austria; BioTechMed-Graz, Graz, Austria.
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17
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Fernandez-Iriondo I, Jimenez-Marin A, Sierra B, Aginako N, Bonifazi P, Cortes JM. Brain Mapping of Behavioral Domains Using Multi-Scale Networks and Canonical Correlation Analysis. Front Neurosci 2022; 16:889725. [PMID: 35801180 PMCID: PMC9255673 DOI: 10.3389/fnins.2022.889725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 05/27/2022] [Indexed: 11/13/2022] Open
Abstract
Simultaneous mapping of multiple behavioral domains into brain networks remains a major challenge. Here, we shed some light on this problem by employing a combination of machine learning, structural and functional brain networks at different spatial resolutions (also known as scales), together with performance scores across multiple neurobehavioral domains, including sensation, motor skills, and cognition. Provided by the Human Connectome Project, we make use of three cohorts: 640 participants for model training, 160 subjects for validation, and 200 subjects for model performance testing thus enhancing prediction generalization. Our modeling consists of two main stages, namely dimensionality reduction in brain network features at multiple scales, followed by canonical correlation analysis, which determines an optimal linear combination of connectivity features to predict multiple behavioral performance scores. To assess the differences in the predictive power of each modality, we separately applied three different strategies: structural unimodal, functional unimodal, and multimodal, that is, structural in combination with functional features of the brain network. Our results show that the multimodal association outperforms any of the unimodal analyses. Then, to answer which human brain structures were most involved in predicting multiple behavioral scores, we simulated different synthetic scenarios in which in each case we completely deleted a brain structure or a complete resting state network, and recalculated performance in its absence. In deletions, we found critical structures to affect performance when predicting single behavioral domains, but this occurred in a lesser manner for prediction of multi-domain behavior. Overall, our results confirm that although there are synergistic contributions between brain structure and function that enhance behavioral prediction, brain networks may also be mutually redundant in predicting multidomain behavior, such that even after deletion of a structure, the connectivity of the others can compensate for its lack in predicting behavior.
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Affiliation(s)
- Izaro Fernandez-Iriondo
- Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), San Sebastian, Spain
- Computational Neuroimaging Lab, BioCruces-Bizkaia Health Research Institute, Barakaldo, Spain
- Doctoral Programme in Informatics Engineering, University of the Basque Country (UPV/EHU), San Sebastian, Spain
- *Correspondence: Izaro Fernandez-Iriondo
| | - Antonio Jimenez-Marin
- Computational Neuroimaging Lab, BioCruces-Bizkaia Health Research Institute, Barakaldo, Spain
- Biomedical Research Doctorate Program, University of the Basque Country (UPV/EHU), Leioa, Spain
| | - Basilio Sierra
- Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Naiara Aginako
- Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), San Sebastian, Spain
| | - Paolo Bonifazi
- Computational Neuroimaging Lab, BioCruces-Bizkaia Health Research Institute, Barakaldo, Spain
- IKERBASQUE: The Basque Foundation for Science, Bilbao, Spain
| | - Jesus M. Cortes
- Computational Neuroimaging Lab, BioCruces-Bizkaia Health Research Institute, Barakaldo, Spain
- IKERBASQUE: The Basque Foundation for Science, Bilbao, Spain
- Department of Cell Biology and Histology, University of the Basque Country (UPV/EHU), Leioa, Spain
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18
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Wunder ML, Staines WR. Chronic Exercise as a Modulator of Cognitive Control: Investigating the Electrophysiological Indices of Performance Monitoring. Front Psychol 2022; 13:814199. [PMID: 35450338 PMCID: PMC9016271 DOI: 10.3389/fpsyg.2022.814199] [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: 11/12/2021] [Accepted: 03/16/2022] [Indexed: 11/13/2022] Open
Abstract
Exercise may influence components of executive functioning, specifically cognitive control and action monitoring. We aimed to determine whether high level exercise improves the efficacy of cognitive control in response to differing levels of conflict. Fitter individuals were expected to demonstrate enhanced action monitoring and optimal levels of cognitive control in response to changing task demands. Participants were divided into the highly active (HA) or low-active group based on self-reported activity using the International Physical Activity Questionnaire. A modified flanker task was then performed, in which the level of conflict was modulated by distance of distractors from the target (close, far) and congruency of arrows (incongruent, congruent). Electroencephalography (EEG) was collected during 800 trials; trials were 80% congruent, 20% incongruent, 50% close, and 50% far. The error-related negativity (ERN) and error positivity (Pe) were extracted from the difference wave of correct and incorrect response locked epochs, the N2 from the difference wave of congruent and incongruent stimulus locked epochs and the P3 from stimulus locked epochs. The HA group showed a larger Pe amplitude compared to the low-active group. Close trials elicited a larger N2 amplitude than far trials in the HA group, but not the low-active group, the HA group also made fewer errors on far trials than on close trials. Finally, the P3 was smaller in the lowest conflict condition in the HA, but not the low-active group. These findings suggest that habitual, high levels of exercise may influence the endogenous processing involved in pre-response conflict detection and the post-error response.
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Affiliation(s)
- Meaghan L Wunder
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - W Richard Staines
- Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
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19
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Meijer A, Königs M, Pouwels PJ, Smith J, Visscher C, Bosker RJ, Hartman E, Oosterlaan J. Resting state networks mediate the association between both cardiovascular fitness and gross motor skills with neurocognitive functioning. Child Dev 2022; 93:e412-e426. [PMID: 35426121 PMCID: PMC9545658 DOI: 10.1111/cdev.13759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 11/22/2021] [Accepted: 12/20/2021] [Indexed: 11/28/2022]
Abstract
Recent evidence suggests that cardiovascular fitness and gross motor skill performance are related to neurocognitive functioning by influencing brain structure and functioning. This study investigates the role of resting‐state networks (RSNs) in the relation of cardiovascular fitness and gross motor skills with neurocognitive functioning in healthy 8‐ to 11‐year‐old children (n = 90, 45 girls, 10% migration background). Cardiovascular fitness and gross motor skills were related to brain activity in RSNs. Furthermore, brain activity in RSNs mediated the relation of both cardiovascular fitness (Frontoparietal network and Somatomotor network) and gross motor skills (Somatomotor network) with neurocognitive functioning. The results indicate that brain functioning may contribute to the relation between both cardiovascular fitness and gross motor skills with neurocognitive functioning.
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Affiliation(s)
- Anna Meijer
- Clinical Neuropsychology Section Vrije Universiteit Amsterdam Amsterdam The Netherlands
| | - Marsh Königs
- Emma Children’s Hospital, Amsterdam UMC, Emma Neuroscience Group, Department of Pediatrics Amsterdam Reproduction & Development University of Amsterdam Amsterdam The Netherlands
| | - Petra J.W. Pouwels
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Vrije Universiteit, Amsterdam Neuroscience Amsterdam The Netherlands
| | - Joanne Smith
- Center for Human Movement Sciences University of Groningen University Medical Center Groningen Groningen The Netherlands
| | - Chris Visscher
- Center for Human Movement Sciences University of Groningen University Medical Center Groningen Groningen The Netherlands
| | - Roel J. Bosker
- Groningen Institute for Educational Research University of Groningen Groningen The Netherlands
| | - Esther Hartman
- Center for Human Movement Sciences University of Groningen University Medical Center Groningen Groningen The Netherlands
| | - Jaap Oosterlaan
- Clinical Neuropsychology Section Vrije Universiteit Amsterdam Amsterdam The Netherlands
- Emma Children’s Hospital, Amsterdam UMC, Emma Neuroscience Group, Department of Pediatrics Amsterdam Reproduction & Development University of Amsterdam Amsterdam The Netherlands
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20
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Zhang K, Jan YK, Liu Y, Zhao T, Zhang L, Liu R, Liu J, Cao C. Exercise Intensity and Brain Plasticity: What’s the Difference of Brain Structural and Functional Plasticity Characteristics Between Elite Aerobic and Anaerobic Athletes? Front Hum Neurosci 2022; 16:757522. [PMID: 35273485 PMCID: PMC8901604 DOI: 10.3389/fnhum.2022.757522] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 01/17/2022] [Indexed: 11/13/2022] Open
Abstract
This study investigated the differences in morphometry and functional plasticity characteristics of the brain after long-term training of different intensities. Results showed that an aerobic group demonstrated higher gray matter volume in the cerebellum and temporal lobe, while an anaerobic group demonstrated higher gray matter volume in the region of basal ganglia. In addition, the aerobic group also showed significantly higher fractional amplitude of low-frequency fluctuation (fALFF) and degree centrality (DC) in the motor area of the frontal lobe and parietal lobe, and the frontal gyrus, respectively. At the same time, the anaerobic group demonstrated higher fALFF and DC in the cerebellum posterior lobe (family-wise error corrected, p < 0.01). These findings may further prove that different brain activation modes respond to different intensities of physical activity and may help to reveal the neural mechanisms that can classify athletes from different intensity sports.
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Affiliation(s)
- Keying Zhang
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
| | - Yih-Kuen Jan
- Department of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Champaign, IL, United States
| | - Yu Liu
- Department of Psychology, Guizhou Minzu University, Guiyang, China
| | - Tao Zhao
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
| | - Lingtao Zhang
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
| | - Ruidong Liu
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
| | - Jianxiu Liu
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
| | - Chunmei Cao
- Division of Sports Science and Physical Education, Tsinghua University, Beijing, China
- *Correspondence: Chunmei Cao,
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21
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Won J, Callow DD, Pena GS, Gogniat MA, Kommula Y, Arnold-Nedimala NA, Jordan LS, Smith JC. Evidence for exercise-related plasticity in functional and structural neural network connectivity. Neurosci Biobehav Rev 2021; 131:923-940. [PMID: 34655658 PMCID: PMC8642315 DOI: 10.1016/j.neubiorev.2021.10.013] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 08/10/2021] [Accepted: 10/10/2021] [Indexed: 02/07/2023]
Abstract
The number of studies investigating exercise and cardiorespiratory fitness (CRF)-related changes in the functional and structural organization of brain networks continues to rise. Functional and structural connectivity are critical biomarkers for brain health and many exercise-related benefits on the brain are better represented by network dynamics. Here, we reviewed the neuroimaging literature to better understand how exercise or CRF may facilitate and maintain the efficiency and integrity of functional and structural aspects of brain networks in both younger and older adults. Converging evidence suggests that increased exercise performance and CRF modulate functional connectivity of the brain in a way that corresponds to behavioral changes such as cognitive and motor performance improvements. Similarly, greater physical activity levels and CRF are associated with better cognitive and motor function, which may be brought about by enhanced structural network integrity. This review will provide a comprehensive understanding of trends in exercise-network studies as well as future directions based on the gaps in knowledge that are currently present in the literature.
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Affiliation(s)
- Junyeon Won
- Department of Kinesiology, University of Maryland, College Park, MD, United States
| | - Daniel D Callow
- Department of Kinesiology, University of Maryland, College Park, MD, United States; Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, United States
| | - Gabriel S Pena
- Department of Kinesiology, University of Maryland, College Park, MD, United States
| | - Marissa A Gogniat
- Department of Psychology, University of Georgia, Athens, GA, United States
| | - Yash Kommula
- Department of Kinesiology, University of Maryland, College Park, MD, United States; Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, United States
| | | | - Leslie S Jordan
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, United States
| | - J Carson Smith
- Department of Kinesiology, University of Maryland, College Park, MD, United States; Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, United States.
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22
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Kyeong Kim R, Park C, Jeon K, Park K, Kang N. Different unilateral force control strategies between athletes and non-athletes. J Biomech 2021; 129:110830. [PMID: 34736089 DOI: 10.1016/j.jbiomech.2021.110830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 07/28/2021] [Accepted: 10/19/2021] [Indexed: 11/19/2022]
Abstract
This study investigated continuous visuomotor tracking capabilities between athletes and non-athlete controls using isometric force control paradigm. Nine female athletes and nine female age-matched controls performed unilateral hand-grip force control tasks with their dominant and non-dominant hands at 10% and 40% of maximal voluntary contraction (MVC), respectively. Three conventional outcome measures on force control capabilities included mean force, force accuracy, and force variability, and we additionally calculated two nonlinear dynamics variables including force regularity using sample entropy and force stability using maximal Lyapunov exponent. Finally, we performed correlation analyses to determine the relationship between nonlinear dynamics variables and conventional measures for each group. The findings indicated that force control capabilities as indicated by three conventional measures were not significantly different between athlete and non-athlete control groups. However, the athletes revealed less force regularity and greater force stability across hand conditions and targeted force levels than those in non-athlete controls. The correlation analyses found that increased force regularity (i.e., less sample entropy values) at 10% of MVC and decreased force regularity (i.e., greater sample entropy values) at 40% of MVC were significantly related to improved force accuracy and variability for the athlete group, and these patterns were not observed in the non-athlete control group. These findings suggested that the athletes may use different adaptive force control strategies as indicated by nonlinear dynamics tools.
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Affiliation(s)
- Rye Kyeong Kim
- Division of Sport Science, Incheon National University, Incheon, South Korea; Neuromechanical Rehabilitation Research Laboratory, Incheon National University, Incheon, South Korea
| | - Chaneun Park
- Department of Mechatronics Engineering, Incheon National University, Incheon, South Korea; Human Dynamics Laboratory, Incheon National University, Incheon, South Korea
| | - Kyoungkyu Jeon
- Division of Sport Science, Incheon National University, Incheon, South Korea; Health Promotion Center & Sport Science Institute, Incheon National University, Incheon, South Korea
| | - Kiwon Park
- Department of Mechatronics Engineering, Incheon National University, Incheon, South Korea; Human Dynamics Laboratory, Incheon National University, Incheon, South Korea.
| | - Nyeonju Kang
- Division of Sport Science, Incheon National University, Incheon, South Korea; Neuromechanical Rehabilitation Research Laboratory, Incheon National University, Incheon, South Korea; Health Promotion Center & Sport Science Institute, Incheon National University, Incheon, South Korea.
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23
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Gao Q, Huang Y, Xiang Y, Yang C, Zhang M, Guo J, Wang H, Yu J, Cui Q, Chen H. Altered dynamics of functional connectivity density associated with early and advanced stages of motor training in tennis and table tennis athletes. Brain Imaging Behav 2021; 15:1323-1334. [PMID: 32748323 DOI: 10.1007/s11682-020-00331-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Until now, knowledge about the effects of motor training on the temporal dynamics of the brain functional organization is still limited. Here we combined dynamic functional connectivity density (dFCD) mapping and k-means clustering analyses to explore how early and advanced stages of motor training affected the brain dynamic FC architecture and dynamic states in little-ball athletes using resting-state functional magnetic resonance imaging (fMRI) data of student-athletes (SA), elite athletes (EA) and non-athlete healthy controls (NC). The ANOVA analysis demonstrated the levels of dFCD variability in the EA group had the trend to regress to the NC group levels in all statistically significant regions. Specifically, the brain regions responsible for the basic motor and sensory innervations showed more stabilized dFCD variability in EA and NC compared with SA. The results supported the idea of a stronger efficiency of functional networks and an automation process of new motor skills in EA. Furthermore, EA and NC had the increased dFCD variability in brain regions responsible for top-down visual-motor control compared with SA; while EA exhibited more flexible alterations in FCD status levels and the equilibrium probability in the long run compared with SA and NC. This suggested that regions involved in higher functions of visual-motor control exhibited more flexibility in functional regulation with other brain networks in EA. Our findings suggested the diversity and specialization of fluctuating dynamic brain adaption induced by motor training in different training stages, and highlighted the effect of motor training stages on brain functional adaption.
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Affiliation(s)
- Qing Gao
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China.,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Yue Huang
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China.,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Yu Xiang
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China.,The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Chengbo Yang
- The Third Department of Physical Education and Training, Chengdu Sport University, 610041, Chengdu, China
| | - Mu Zhang
- Information Technology Center, Chengdu Sport University, 610041, Chengdu, China
| | - Jingpu Guo
- The Third Department of Physical Education and Training, Chengdu Sport University, 610041, Chengdu, China
| | - Hu Wang
- The Third Department of Physical Education and Training, Chengdu Sport University, 610041, Chengdu, China
| | - Jiali Yu
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China.
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24
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Brooks SJ, Parks SM, Stamoulis C. Widespread Positive Direct and Indirect Effects of Regular Physical Activity on the Developing Functional Connectome in Early Adolescence. Cereb Cortex 2021; 31:4840-4852. [PMID: 33987673 DOI: 10.1093/cercor/bhab126] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 04/14/2021] [Accepted: 04/15/2021] [Indexed: 12/21/2022] Open
Abstract
Adolescence is a period of profound but incompletely understood changes in the brain's neural circuitry (the connectome), which is vulnerable to risk factors such as unhealthy weight, but may be protected by positive factors such as regular physical activity. In 5955 children (median age = 120 months; 50.86% females) from the Adolescent Brain Cognitive Development (ABCD) cohort, we investigated direct and indirect (through impact on body mass index [BMI]) effects of physical activity on resting-state networks, the backbone of the functional connectome that ubiquitously affects cognitive function. We estimated significant positive effects of regular physical activity on network connectivity, efficiency, robustness and stability (P ≤ 0.01), and on local topologies of attention, somatomotor, frontoparietal, limbic, and default-mode networks (P < 0.05), which support extensive processes, from memory and executive control to emotional processing. In contrast, we estimated widespread negative BMI effects in the same network properties and brain regions (P < 0.05). Additional mediation analyses suggested that physical activity could also modulate network topologies leading to better control of food intake, appetite and satiety, and ultimately lower BMI. Thus, regular physical activity may have extensive positive effects on the development of the functional connectome, and may be critical for improving the detrimental effects of unhealthy weight on cognitive health.
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Affiliation(s)
- Skylar J Brooks
- Boston Children's Hospital, Department of Pediatrics, Division of Adolescent Medicine, Boston, MA 02115, USA
| | - Sean M Parks
- Boston Children's Hospital, Department of Pediatrics, Division of Adolescent Medicine, Boston, MA 02115, USA
| | - Catherine Stamoulis
- Boston Children's Hospital, Department of Pediatrics, Division of Adolescent Medicine, Boston, MA 02115, USA.,Harvard Medical School, Boston, MA 02115, USA
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25
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Wind J, Horst F, Rizzi N, John A, Schöllhorn WI. Electrical Brain Activity and Its Functional Connectivity in the Physical Execution of Modern Jazz Dance. Front Psychol 2021; 11:586076. [PMID: 33384641 PMCID: PMC7769774 DOI: 10.3389/fpsyg.2020.586076] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 11/02/2020] [Indexed: 11/16/2022] Open
Abstract
Besides the pure pleasure of watching a dance performance, dance as a whole-body movement is becoming increasingly popular for health-related interventions. However, the science-based evidence for improvements in health or well-being through dance is still ambiguous and little is known about the underlying neurophysiological mechanisms. This may be partly related to the fact that previous studies mostly examined the neurophysiological effects of imagination and observation of dance rather than the physical execution itself. The objective of this pilot study was to investigate acute effects of a physically executed dance with its different components (recalling the choreography and physical activity to music) on the electrical brain activity and its functional connectivity using electroencephalographic (EEG) analysis. Eleven dance-inexperienced female participants first learned a Modern Jazz Dance (MJD) choreography over three weeks (1 h sessions per week). Afterwards, the acute effects on the EEG brain activity were compared between four different test conditions: physically executing the MJD choreography with music, physically executing the choreography without music, imaging the choreography with music, and imaging the choreography without music. Every participant passed each test condition in a randomized order within a single day. EEG rest-measurements were conducted before and after each test condition. Considering time effects the physically executed dance without music revealed in brain activity analysis most increases in alpha frequency and in functional connectivity analysis in all frequency bands. In comparison, physically executed dance with music as well as imagined dance with music led to fewer increases and imagined dance without music provoked noteworthy brain activity and connectivity decreases at all frequency bands. Differences between the test conditions were found in alpha and beta frequency between the physically executed dance and the imagined dance without music as well as between the physically executed dance with and without music in the alpha frequency. The study highlights different effects of a physically executed dance compared to an imagined dance on many brain areas for all measured frequency bands. These findings provide first insights into the still widely unexplored field of neurological effects of dance and encourages further research in this direction.
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Affiliation(s)
- Johanna Wind
- Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Fabian Horst
- Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Nikolas Rizzi
- Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Alexander John
- Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Wolfgang I Schöllhorn
- Training and Movement Science, Institute of Sport Science, Johannes Gutenberg-University Mainz, Mainz, Germany
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26
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Predel C, Kaminski E, Hoff M, Carius D, Villringer A, Ragert P. Motor Skill Learning-Induced Functional Plasticity in the Primary Somatosensory Cortex: A Comparison Between Young and Older Adults. Front Aging Neurosci 2020; 12:596438. [PMID: 33324196 PMCID: PMC7723828 DOI: 10.3389/fnagi.2020.596438] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 10/27/2020] [Indexed: 11/13/2022] Open
Abstract
While in young adults (YAs) the underlying neural mechanisms of motor learning are well-studied, studies on the involvement of the somatosensory system during motor skill learning in older adults (OAs) remain sparse. Therefore, the aim of the present study was to investigate motor learning-induced neuroplasticity in the primary somatosensory cortex (S1) in YAs and OAs. Somatosensory evoked potentials (SEPs) were used to quantify somatosensory activation prior and immediately after motor skill learning in 20 right-handed healthy YAs (age range: 19–35 years) and OAs (age range: 57–76 years). Participants underwent a single session of a 30-min co-contraction task of the abductor pollicis brevis (APB) and deltoid muscle. To assess the effect of motor learning, muscle onset asynchrony (MOA) between the onsets of the contractions of both muscles was measured using electromyography monitoring. In both groups, MOA shortened significantly during motor learning, with YAs showing bigger reductions. No changes were found in SEP amplitudes after motor learning in both groups. However, a correlation analysis revealed an association between baseline SEP amplitudes of the N20/P25 and N30 SEP component and the motor learning slope in YAs such that higher amplitudes are related to higher learning. Hence, the present findings suggest that SEP amplitudes might serve as a predictor of individual motor learning success, at least in YAs. Additionally, our results suggest that OAs are still capable of learning complex motor tasks, showing the importance of motor training in higher age to remain an active part of our society as a prevention for care dependency.
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Affiliation(s)
- Claudia Predel
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Elisabeth Kaminski
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Institute for General Kinesiology and Exercise Science, University of Leipzig, Leipzig, Germany
| | - Maike Hoff
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Daniel Carius
- Institute for General Kinesiology and Exercise Science, University of Leipzig, Leipzig, Germany
| | - Arno Villringer
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Berlin School of Mind and Brain, Mind Brain Body Institute, Humboldt University of Berlin, Berlin, Germany
| | - Patrick Ragert
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Institute for General Kinesiology and Exercise Science, University of Leipzig, Leipzig, Germany
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27
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Wade NE, Wallace AL, Sullivan RM, Swartz AM, Lisdahl KM. Association between brain morphometry and aerobic fitness level and sex in healthy emerging adults. PLoS One 2020; 15:e0242738. [PMID: 33259511 PMCID: PMC7707547 DOI: 10.1371/journal.pone.0242738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 11/06/2020] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE Aerobic fitness may be beneficial for neuroanatomical structure. However, few have investigated this in emerging adults while also accounting for potential sex differences. Here we examine aerobic fitness level, sex, and their interaction in relation to cortical thickness, surface area, and volume. METHOD Sixty-three young adults between the ages of 16-26 were balanced for sex and demonstrated a wide range of aerobic fitness levels. Exclusion criteria included left-handedness, past-year independent Axis-I disorders, major medical/neurologic disorders, prenatal medical issues, prenatal alcohol/illicit drug exposure, or excessive substance use. Participants completed an MRI scan and a graded exercise test to volitional fatigue (VO2 max). Data analyses were run in Freesurfer and data was corrected for multiple comparisons with Monte Carlo simulations at .05. RESULTS Males demonstrated higher VO2 values. Higher VO2 values were statistically independently related to thinner lateral occipital, superior parietal, cuneus, precuneus, and inferior parietal regions, smaller lateral occipital volume, and larger inferior parietal surface area. Compared to females, males had larger volume in rostral anterior cingulate, lateral occipital, and superior frontal regions, and greater surface area in fusiform, inferior parietal, rostral and caudal anterior cingulate, and superior parietal regions. VO2*Sex interactions revealed higher-fit females had higher inferior parietal, paracentral, and supramarginal surface area, while lower-fit males showed larger surface area in these same regions. CONCLUSIONS Individuals with higher aerobic fitness performance had thinner cortices, lower volume, and larger surface area in sensorimotor regions than lower fit individuals, perhaps suggesting earlier neuromaturation in higher fit individuals. Larger surface area was associated with higher-fit females and lower-fit males. Thus both sex and aerobic fitness are important in shaping brain health in emerging adults.
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Affiliation(s)
- Natasha E. Wade
- Department of Psychiatry, University of California, San Diego, CA, United States of America
| | - Alexander L. Wallace
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States of America
| | - Ryan M. Sullivan
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States of America
| | - Ann M. Swartz
- Department of Kinesiology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States of America
| | - Krista M. Lisdahl
- Department of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI, United States of America
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28
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Cao L, Zhang Y, Huang R, Li L, Xia F, Zou L, Yu Q, Lin J, Herold F, Perrey S, Mueller P, Dordevic M, Loprinzi PD, Wang Y, Ma Y, Zeng H, Qu S, Wu J, Ren Z. Structural and functional brain signatures of endurance runners. Brain Struct Funct 2020; 226:93-103. [PMID: 33159547 DOI: 10.1007/s00429-020-02170-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 10/24/2020] [Indexed: 10/23/2022]
Abstract
Although endurance running (ER) seems to be a simple repetitive exercise, good ER performance also requires and relies on multiple cognitive and motor control processes. Most of previous neuroimaging studies on ER were conducted using a single MRI modality, yet no multimodal study to our knowledge has been performed in this regard. In this study, we used multimodal MRI data to investigate the brain structural and functional differences between endurance runners (n = 22; age = 26.27 ± 6.07 years; endurance training = 6.23 ± 2.41 years) and healthy controls (HCs; n = 20; age = 24.60 ± 4.14 years). Compared with the HCs, the endurance runners showed greater gray matter volume (GMV) and cortical surface area in the left precentral gyrus, which at the same time had higher functional connectivity (FC) with the right postcentral and precentral gyrus. Subcortically, the endurance runners showed greater GMV in the left hippocampus and regional inflation in the right hippocampus. Using the bilateral hippocampi as seeds, further seed-based FC analyses showed higher hippocampal FC with the supplementary motor area, middle cingulate cortex, and left posterior lobe of the cerebellum. Moreover, compared with the HCs, the endurance runners also showed higher fractional anisotropy in several white matter regions, involving the corpus callosum, left internal capsule, left corona radiata, left external capsule, left posterior lobe of cerebellum and bilateral precuneus. Taken together, our findings provide several lines of evidence for the brain structural and functional differences between endurance runners and HCs. The current data suggest that these brain characteristics may have arisen as a result of regular ER training; however, whether they represent the neural correlates underlying the good ER performances of the endurance runners requires further investigations.
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Affiliation(s)
- Long Cao
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Yuanchao Zhang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
| | - Ruiwang Huang
- School of Psychology, South China Normal University, Guangzhou, 510631, China
| | - Lunxiong Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, China
| | - Fengguang Xia
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510631, China
| | - Liye Zou
- Exercise and Mental Health Laboratory, Shenzhen University, Shenzhen, 518060, China
| | - Qian Yu
- Exercise and Mental Health Laboratory, Shenzhen University, Shenzhen, 518060, China
| | - Jingyuan Lin
- Exercise and Mental Health Laboratory, Shenzhen University, Shenzhen, 518060, China
| | - Fabian Herold
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120, Magdeburg, Germany.,Department of Neurology, Medical Faculty, Otto Von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Stephane Perrey
- EuroMov Digital Health in Motion, Univ Montpellier, IMT Mines Ales, Montpellier, France
| | - Patrick Mueller
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120, Magdeburg, Germany.,Department of Neurology, Medical Faculty, Otto Von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Milos Dordevic
- Research Group Neuroprotection, German Center for Neurodegenerative Diseases (DZNE), Leipziger Str. 44, 39120, Magdeburg, Germany.,Department of Neurology, Medical Faculty, Otto Von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Paul D Loprinzi
- Exercise & Memory Laboratory, Department of Health, Exercise Science, and Recreation Management, The University of Mississippi, University, MS, USA
| | - Yue Wang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Yudan Ma
- Jilin Institute of Sport Science, Changchun, 130022, China
| | - Hongfa Zeng
- Department of Physical Education, Shenzhen University, Shenzhen, 518060, China
| | - Sicen Qu
- Department of Physical Education, Shenzhen University, Shenzhen, 518060, China
| | - Jinlong Wu
- Department of Physical Education, Shenzhen University, Shenzhen, 518060, China
| | - Zhanbing Ren
- Department of Physical Education, Shenzhen University, Shenzhen, 518060, China.
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29
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Lehmann N, Villringer A, Taubert M. Intrinsic Connectivity Changes Mediate the Beneficial Effect of Cardiovascular Exercise on Sustained Visual Attention. Cereb Cortex Commun 2020; 1:tgaa075. [PMID: 34296135 PMCID: PMC8152900 DOI: 10.1093/texcom/tgaa075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 10/05/2020] [Accepted: 10/06/2020] [Indexed: 01/21/2023] Open
Abstract
Cardiovascular exercise (CE) is an evidence-based healthy lifestyle strategy. Yet, little is known about its effects on brain and cognition in young adults. Furthermore, evidence supporting a causal path linking CE to human cognitive performance via neuroplasticity is currently lacking. To understand the brain networks that mediate the CE-cognition relationship, we conducted a longitudinal, controlled trial with healthy human participants to compare the effects of a 2-week CE intervention against a non-CE control group on cognitive performance. Concomitantly, we used structural and functional magnetic resonance imaging to investigate the neural mechanisms mediating between CE and cognition. On the behavioral level, we found that CE improved sustained attention, but not processing speed or short-term memory. Using graph theoretical measures and statistical mediation analysis, we found that a localized increase in eigenvector centrality in the left middle frontal gyrus, probably reflecting changes within an attention-related network, conveyed the effect of CE on cognition. Finally, we found CE-induced changes in white matter microstructure that correlated with intrinsic connectivity changes (intermodal correlation). These results suggest that CE is a promising intervention strategy to improve sustained attention via brain plasticity in young, healthy adults.
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Affiliation(s)
- Nico Lehmann
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany
- Department of Sport Science, Faculty of Human Sciences, Institute III, Otto von Guericke University, Magdeburg 39104, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig 04103, Germany
- Mind and Brain Institute, Charité and Humboldt University, Berlin 10117, Germany
| | - Marco Taubert
- Department of Sport Science, Faculty of Human Sciences, Institute III, Otto von Guericke University, Magdeburg 39104, Germany
- Center for Behavioral and Brain Science (CBBS), Otto von Guericke University, Magdeburg 39106, Germany
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30
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Urquhart EL, Wanniarachchi H, Wang X, Gonzalez-Lima F, Alexandrakis G, Liu H. Transcranial photobiomodulation-induced changes in human brain functional connectivity and network metrics mapped by whole-head functional near-infrared spectroscopy in vivo. BIOMEDICAL OPTICS EXPRESS 2020; 11:5783-5799. [PMID: 33149986 PMCID: PMC7587286 DOI: 10.1364/boe.402047] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/10/2020] [Accepted: 09/13/2020] [Indexed: 06/11/2023]
Abstract
Transcranial photobiomodulation (tPBM) with near-infrared light on the human head has been shown to enhance human cognition. In this study, tPBM-induced effects on resting state brain networks were investigated using 111-channel functional near-infrared spectroscopy over the whole head. Measurements were collected with and without 8-minute tPBM in 19 adults. Functional connectivity (FC) and brain network metrics were quantified using Pearson's correlation coefficients and graph theory analysis (GTA), respectively, for the periods of pre-, during, and post-tPBM. Our results revealed that tPBM (1) enhanced information processing speed and efficiency of the brain network, and (2) increased FC significantly in the frontal-parietal network, shedding light on a better understanding of tPBM effects on brain networks.
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Affiliation(s)
- Elizabeth L. Urquhart
- University of Texas at Arlington, Department of Bioengineering, Arlington, TX 76010, USA
| | - Hashini Wanniarachchi
- University of Texas at Arlington, Department of Bioengineering, Arlington, TX 76010, USA
| | - Xinlong Wang
- University of Texas at Arlington, Department of Bioengineering, Arlington, TX 76010, USA
| | - Francisco Gonzalez-Lima
- University of Texas at Austin, Department of Psychology and Institute for Neuroscience, Austin, TX 78712, USA
| | - George Alexandrakis
- University of Texas at Arlington, Department of Bioengineering, Arlington, TX 76010, USA
| | - Hanli Liu
- University of Texas at Arlington, Department of Bioengineering, Arlington, TX 76010, USA
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31
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Yang C, Luo N, Liang M, Zhou S, Yu Q, Zhang J, Zhang M, Guo J, Wang H, Yu J, Cui Q, Chen H, Gao Q. Altered Brain Functional Connectivity Density in Fast-Ball Sports Athletes With Early Stage of Motor Training. Front Psychol 2020; 11:530122. [PMID: 33101115 PMCID: PMC7546905 DOI: 10.3389/fpsyg.2020.530122] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 08/25/2020] [Indexed: 12/02/2022] Open
Abstract
The human brain shows neuroplastic adaptations caused by motor skill training. Of note, there is little known about the plastic architecture of the whole-brain network in resting state. The purpose of the present study was to detect how motor training affected the density distribution of whole-brain resting-state functional connectivity (FC). Resting-state functional magnetic resonance imaging data was assessed based on a comparison of fast-ball student athletes (SA) and non-athlete healthy controls (NC). The voxel-wise data-driven graph theory approach, global functional connectivity density (gFCD) mapping, was applied. Results showed that the SA group exhibited significantly decreased gFCD in brain regions centered at the left triangular part of the inferior frontal gyrus (IFG), extending to the opercular part of the left IFG and middle frontal gyrus compared to the NC group. In addition, findings suggested the idea of an increased neural efficiency of athletes’ brain regions associated with attentional–motor modulation and executive control. Furthermore, behavioral results showed that in the SA group, faster executive control reaction time relates to smaller gFCD values in the left IFG. These findings suggested that the motor training would decrease the numbers of FC in IFG to accelerate the executive control with high attentional demands and enable SA to rapidly focus the attention to detect the intriguing target.
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Affiliation(s)
- Chengbo Yang
- The Third Department of Physical Education and Training, Chengdu Sport University, Chengdu, China
| | - Ning Luo
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Minfeng Liang
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Sihong Zhou
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Yu
- Exercise and Mental Health Laboratory, School of Psychology, Shenzhen University, Shenzhen, China
| | - Jiabao Zhang
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Mu Zhang
- Information Technology Center, Chengdu Sport University, Chengdu, China
| | - Jingpu Guo
- The Third Department of Physical Education and Training, Chengdu Sport University, Chengdu, China
| | - Hu Wang
- The Third Department of Physical Education and Training, Chengdu Sport University, Chengdu, China
| | - Jiali Yu
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- Ministry of Education Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.,The Clinical Hospital of Chengdu Brain Science Institute, School of Life Sciences and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qing Gao
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
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32
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Lefebvre G, Guay S, Chamard E, Theaud G, de Guise E, Bacon BA, Descoteaux M, De Beaumont L, Théoret H. Diffusion Tensor Imaging in Contact and Non-Contact University-Level Sport Athletes. J Neurotrauma 2020; 38:529-537. [PMID: 32640880 DOI: 10.1089/neu.2020.7170] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Subconcussive hits to the head and physical fitness both have been associated with alterations in white matter (WM) microstructure in partly overlapping areas of the brain. The aim of the present study was to determine whether WM damage associated with repeated exposure to subconcussive hits to the head in university level contact sports athletes is modulated by high levels of fitness. To this end, 72 students were recruited: 24 athletes practicing a varsity contact sport (A-CS), 24 athletes practicing a varsity non-contact sport (A-NCS), and 24 healthy non-athletes (NA). Participants underwent a magnetic resonance imaging session that included diffusion-weighted imaging. Between-groups, statistical analyses were performed with diffusion tensor imaging measures extracted by tractometry of sections of the corpus callosum and the corticospinal tract. Most significant effects were found in A-NCS who exhibited higher fractional anisotropy (FA) values than A-CS in almost all segments of the corpus callosum and in the corticospinal tract. The A-NCS also showed higher FA compared with NA in the anterior regions of the corpus callosum and the corticospinal tracts. No group difference was found between the A-CS and the NA groups. These data suggest that repeated subconcussive hits to the head lead to anisotropic changes in the WM that may counteract the beneficial effects associated with high levels of fitness.
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Affiliation(s)
- Geneviève Lefebvre
- Department of Psychology and Université de Montréal, Montréal, Québec, Canada
| | - Samuel Guay
- Department of Psychology and Université de Montréal, Montréal, Québec, Canada
| | - Emilie Chamard
- Department of Psychology and Université de Montréal, Montréal, Québec, Canada
| | - Guillaume Theaud
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Elaine de Guise
- Department of Psychology and Université de Montréal, Montréal, Québec, Canada
| | | | - Maxime Descoteaux
- Sherbrooke Connectivity Imaging Laboratory (SCIL), Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Louis De Beaumont
- Department of Surgery, Université de Montréal, Montréal, Québec, Canada
| | - Hugo Théoret
- Department of Psychology and Université de Montréal, Montréal, Québec, Canada.,Research Center, CHU Sainte-Justine, Montréal, Québec, Canada
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33
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Ishihara T, Miyazaki A, Tanaka H, Matsuda T. Identification of the brain networks that contribute to the interaction between physical function and working memory: An fMRI investigation with over 1,000 healthy adults. Neuroimage 2020; 221:117152. [PMID: 32668299 DOI: 10.1016/j.neuroimage.2020.117152] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 06/30/2020] [Accepted: 07/05/2020] [Indexed: 12/14/2022] Open
Abstract
There is a growing consensus regarding the positive relationship between physical function and working memory; however, explanations of task-evoked functional activity regarding this relationship and its differences in physical function domains remain controversial. This study illustrates the cross-sectional relationships between cardiorespiratory fitness, gait speed, hand dexterity, and muscular strength with working memory task (N-back task) performance and the mediating effects of task-evoked functional activity in 1033 adults aged between 22 and 37 years. The results showed that cardiorespiratory fitness and hand dexterity were independently associated with N-back task performance to a greater extent and in contrast to gait speed and muscular strength. These relationships were mediated by task-evoked functional activity in a part of the frontoparietal network (FPN) and default mode network (DMN). Superior cardiorespiratory fitness could contribute to working memory performance by enhancing the compensational role of FPN-related broader region activation. Hand dexterity was associated with moderation of the interaction in terms of task-evoked activation between the FPN and DMN, which in turn, improved N-back task performance. Based on these findings, we conclude that cardiorespiratory fitness and hand dexterity have common and unique mechanisms enhancing working memory.
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Affiliation(s)
- Toru Ishihara
- Tamagawa University Brain Science Institute, Tokyo, Japan; Japan Society for the Promotion of Science, Tokyo, Japan
| | | | - Hiroki Tanaka
- Tamagawa University Brain Science Institute, Tokyo, Japan; Japan Society for the Promotion of Science, Tokyo, Japan
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34
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Urquhart EL, Wang X, Liu H, Fadel PJ, Alexandrakis G. Differences in Net Information Flow and Dynamic Connectivity Metrics Between Physically Active and Inactive Subjects Measured by Functional Near-Infrared Spectroscopy (fNIRS) During a Fatiguing Handgrip Task. Front Neurosci 2020; 14:167. [PMID: 32210748 PMCID: PMC7076120 DOI: 10.3389/fnins.2020.00167] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 02/14/2020] [Indexed: 12/11/2022] Open
Abstract
Twenty-three young adults (4 Females, 25.13 ± 3.72 years) performed an intermittent maximal handgrip force task using their dominant hand for 20 min (3.5 s squeeze/6.5 s release, 120 blocks) with concurrent cortical activity imaging by functional Near-Infrared Spectroscopy (fNRIS; OMM-3000, Shimadzu Corp., 111 channels). Subjects were grouped as physically active (n = 10) or inactive (n = 12) based on a questionnaire (active-exercise at least four times a week, inactive- exercise less than two times a week). We explored how motor task fatigue affected the vasomotion-induced oscillations in ΔHbO as measured by fNIRS at each hemodynamic frequency band: endothelial component (0.003–0.02 Hz) associated to microvascular activity, neurogenic component (0.02–0.04 Hz) related to intrinsic neuronal activity, and myogenic component (0.04–0.15 Hz) linked to activity of smooth muscles of arterioles. To help understand how these three neurovascular regulatory mechanisms relate to handgrip task performance we quantified several dynamic fNIRS metrics, including directional phase transfer entropy (dPTE), a computationally efficient and data-driven method used as a marker of information flow between cortical regions, and directional connectivity (DC), a means to compute directionality of information flow between two cortical regions. The relationship between static functional connectivity (SFC) and functional connectivity variability (FCV) was also explored to understand their mutual dependence for each frequency band in the context of handgrip performance as fatigued increased. Our findings ultimately showed differences between subject groups across all fNIRS metrics and hemodynamic frequency bands. These findings imply that physical activity modulates neurovascular control mechanisms at the endogenic, neurogenic, and myogenic frequency bands resulting in delayed fatigue onset and enhanced performance. The dynamic cortical network metrics quantified in this work for young, healthy subjects provides baseline measurements to guide future work on older individuals and persons with impaired cardiovascular health.
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Affiliation(s)
- Elizabeth L Urquhart
- Bioengineering Department, University of Texas at Arlington, Arlington, TX, United States
| | - Xinlong Wang
- Bioengineering Department, University of Texas at Arlington, Arlington, TX, United States
| | - Hanli Liu
- Bioengineering Department, University of Texas at Arlington, Arlington, TX, United States
| | - Paul J Fadel
- Department of Kinesiology, University of Texas at Arlington, Arlington, TX, United States
| | - George Alexandrakis
- Bioengineering Department, University of Texas at Arlington, Arlington, TX, United States
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35
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36
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Urquhart EL, Wanniarachchi HI, Wang X, Liu H, Fadel PJ, Alexandrakis G. Mapping cortical network effects of fatigue during a handgrip task by functional near-infrared spectroscopy in physically active and inactive subjects. NEUROPHOTONICS 2019; 6:045011. [PMID: 31853458 PMCID: PMC6904890 DOI: 10.1117/1.nph.6.4.045011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 11/19/2019] [Indexed: 05/29/2023]
Abstract
The temporal evolution of cortical activation and connectivity patterns during a fatiguing handgrip task were studied by functional near-infrared spectroscopy (fNIRS). Twenty-three young adults (18 to 35 years old) were recruited to use a handheld force sensor to perform intermittent handgrip contractions with their dominant hand at their personal maximum voluntary contraction force level for 3.5 s followed by 6.5 s of rest for 120 blocks. Subjects were divided into self-reported physically active and inactive groups, and their hemodynamic activity over the prefrontal and sensory-motor cortices (111 channels) was mapped while they performed this task. Using this fNIRS setup, a more detailed time sequence of cortical activation and connectivity patterns was observed compared to prior studies. A temporal evolution sequence of hemodynamic activation patterns was noted, which was different between the active and the inactive groups. Physically active subjects demonstrated delayed fatigue onset and significantly longer-lasting and more spatially extended functional connectivity (FC) patterns, compared to inactive subjects. The observed differences in activation and FC suggested differences in cortical network adaptation patterns as fatigue set in, which were dependent on subjects' physical activity. The findings of this study suggest that physical activity increases FC with regions involved in motor task control and correlates to extended fatigue onset and enhanced performance.
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Affiliation(s)
- Elizabeth L. Urquhart
- University of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States
| | | | - Xinlong Wang
- University of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States
| | - Hanli Liu
- University of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States
| | - Paul J. Fadel
- University of Texas at Arlington, Department of Kinesiology, Arlington, Texas, United States
| | - George Alexandrakis
- University of Texas at Arlington, Bioengineering Department, Arlington, Texas, United States
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37
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Zhao X, Wu Q, Chen Y, Song X, Ni H, Ming D. Hub Patterns-Based Detection of Dynamic Functional Network Metastates in Resting State: A Test-Retest Analysis. Front Neurosci 2019; 13:856. [PMID: 31572105 PMCID: PMC6749078 DOI: 10.3389/fnins.2019.00856] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 07/30/2019] [Indexed: 11/13/2022] Open
Abstract
The spontaneous dynamic characteristics of resting-state functional networks contain much internal brain physiological or pathological information. The metastate analysis of brain functional networks is an effective technique to quantify the essence of brain functional connectome dynamics. However, the widely used functional connectivity-based metastate analysis ignored the topological structure, which could be locally reflected by node centrality. In this study, 23 healthy young volunteers (21-26 years) were recruited and scanned twice with a 1-week interval. Based on the time sequences of node centrality, we promoted a node centrality-based clustering method to find metastates of functional connectome and conducted a test-retest experiment to assess the stability of those identified metastates using the described method. The hub regions of metastates were further compared with the structural networks' organization to depict its potential relationship with brain structure. Results of extracted metastates showed repeatable dynamic features between repeated scans and high overlapping rate of hub regions with brain intrinsic sub-networks. These identified hub patterns from metastates further highly overlapped with the structural hub regions. These findings indicated that the proposed node centrality-based metastates detection method could reveal reliable and meaningful metastates of spontaneous dynamics and indicate the underlying nature of brain dynamics as well as the potential relationship between these dynamics and the organization of the brain connectome.
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Affiliation(s)
- Xin Zhao
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Qiong Wu
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Yuanyuan Chen
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Xizi Song
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Hongyan Ni
- Department of Radiology, Tianjin First Center Hospital, Tianjin, China
| | - Dong Ming
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
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38
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Eigenschenk B, Thomann A, McClure M, Davies L, Gregory M, Dettweiler U, Inglés E. Benefits of Outdoor Sports for Society. A Systematic Literature Review and Reflections on Evidence. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16060937. [PMID: 30875938 PMCID: PMC6466442 DOI: 10.3390/ijerph16060937] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/09/2019] [Revised: 03/04/2019] [Accepted: 03/08/2019] [Indexed: 11/16/2022]
Abstract
The combination of physical activity and being in nature is recognized as providing a range of significant benefits. The objective of this literature review was to compile an overview of the social benefits and costs associated with outdoor sports within the academic literature and to reflect on the quality of underlying evidence that supports the relationship. A systematic review was carried out with seven partners from different European countries, including Bulgaria, France, Germany, United Kingdom, Italy, Portugal, and Spain. From a total of 17,560 studies identified, 133 studies were selected with relevant data extracted to standardized forms. The selected studies have been analyzed with qualitative research methods. A meta-analysis could not be conducted due to the heterogeneity of the study designs and outcome measures. As a result, the review gives an overview of the social impacts associated with outdoor sports which have been clustered to six broad categories: physical health, mental health and wellbeing, education and lifelong learning, active citizenship, crime reduction, and anti-social behavior, as well as additional benefits. The review furthermore revealed gaps in the evidence base which are especially notable in the long-term effects that outdoor sports can have on personal and social development.
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Affiliation(s)
- Barbara Eigenschenk
- TUM Department of Sport and Health Sciences, Technical University Munich, Georg-Brauchle-Ring 60/62, 80992 München, Germany.
| | - Andreas Thomann
- TUM Department of Sport and Health Sciences, Technical University Munich, Georg-Brauchle-Ring 60/62, 80992 München, Germany.
| | - Mike McClure
- Sport Northern Ireland, c/o Tollymore National Outdoor Centre, 32 Hilltown Road, Bryansford, Newcastle BT33 0PZ, UK.
| | - Larissa Davies
- Sport Industry Research Centre, Sheffield Hallam University, Sheffield S10 2BP, UK.
| | - Maxine Gregory
- Sport Industry Research Centre, Sheffield Hallam University, Sheffield S10 2BP, UK.
| | - Ulrich Dettweiler
- Universitetet i Stavanger, Kjell Arholms gate 41, 4021 Stavanger, Norway.
| | - Eduard Inglés
- National Institute of Physical Education of Catalonia (INEFC), University of Barcelona (UB), Av. Estadi 12-22, 08038 Barcelona, Spain.
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Altered Central Autonomic Network in Baseball Players: A Resting-state fMRI Study. Sci Rep 2019; 9:110. [PMID: 30643162 PMCID: PMC6331574 DOI: 10.1038/s41598-018-36329-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 11/12/2018] [Indexed: 12/30/2022] Open
Abstract
The physiological adaptive regulation of healthy population with a high fitness level is associated with enhanced cognitive control in brain. This study further investigated the effects of different levels of sporting experience on intrinsic brain networks involved in central autonomic processing using resting-state functional magnetic resonance imaging. We explored functional connectivity of four core regions within central autonomic network (CAN), namely posterior midcingulate cortex (pMCC), left amygdala (AMYG), and right anterior (aINS) and left posterior insular cortices, in advanced and intermediate baseball players, and compared their strength of connectivity with individuals without baseball-playing experience. Functional connectivity maps across three groups confirmed a close relationship between CAN and large-scale brain networks in sensory, motor and cognitive domains. Crucially, both advanced and intermediate batters demonstrated enhanced connectivity between pMCC and sensorimotor network, between right aINS and dorsal anterior cingulate cortex, and between left AMYG and right putamen, than controls. These results reflected a stronger interregional coupling in sensorimotor and cognitive control, and in motor skill consolidation. In conclusion, we provided evidence that different levels of sporting experience could reorganize/enhance intrinsic functional connectivity for central autonomic processing.
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40
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Chen Y, Liu YN, Zhou P, Zhang X, Wu Q, Zhao X, Ming D. The Transitions Between Dynamic Micro-States Reveal Age-Related Functional Network Reorganization. Front Physiol 2019; 9:1852. [PMID: 30662409 PMCID: PMC6328489 DOI: 10.3389/fphys.2018.01852] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2017] [Accepted: 12/07/2018] [Indexed: 01/23/2023] Open
Abstract
Normal dynamic change in human brain occurs with age increasing, yet much remains unknown regarding how brain develops, matures, and ages. Functional connectivity analysis of the resting-state brain is a powerful method for revealing the intrinsic features of functional networks, and micro-states, which are the intrinsic patterns of functional connectivity in dynamic network courses, and are suggested to be more informative of brain functional changes. The aim of this study is to explore the age-related changes in these micro-states of dynamic functional network. Three healthy groups were included: the young (ages 21-32 years), the adult (age 41-54 years), and the old (age 60-86 years). Sliding window correlation method was used to construct the dynamic connectivity networks, and then the micro-states were individually identified with clustering analysis. The distribution of age-related connectivity variations in several intrinsic networks for each micro-state was analyzed then. The micro-states showed substantial age-related changes in the transitions between states but not in the dwelling time. Also there was no age-related reorganization observed within any micro-state. But there were reorganizations observed in the transition between them. These results suggested that the identified micro-states represented certain underlying connectivity patterns in functional brain system, which are similar to the intrinsic cognitive networks or resources. In addition, the dynamic transitions between these states were probable mechanisms of reorganization or compensation in functional brain networks with age increasing.
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Affiliation(s)
- Yuanyuan Chen
- College of Microelectronics, Tianjin University, Tianjin, China
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Ya-nan Liu
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Peng Zhou
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Xiong Zhang
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Qiong Wu
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Xin Zhao
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Dong Ming
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
- Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
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41
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Athletes versus video game players: A predictive contextual processing study. Neurosci Lett 2018; 684:156-163. [DOI: 10.1016/j.neulet.2018.08.014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 07/18/2018] [Accepted: 08/11/2018] [Indexed: 12/15/2022]
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42
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Baete SH, Chen J, Lin YC, Wang X, Otazo R, Boada FE. Low Rank plus Sparse decomposition of ODFs for improved detection of group-level differences and variable correlations in white matter. Neuroimage 2018; 174:138-152. [PMID: 29526742 PMCID: PMC5949269 DOI: 10.1016/j.neuroimage.2018.03.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 02/09/2018] [Accepted: 03/06/2018] [Indexed: 12/13/2022] Open
Abstract
A novel approach is presented for group statistical analysis of diffusion weighted MRI datasets through voxelwise Orientation Distribution Functions (ODF). Recent advances in MRI acquisition make it possible to use high quality diffusion weighted protocols (multi-shell, large number of gradient directions) for routine in vivo study of white matter architecture. The dimensionality of these data sets is however often reduced to simplify statistical analysis. While these approaches may detect large group differences, they do not fully capitalize on all acquired image volumes. Incorporation of all available diffusion information in the analysis however risks biasing the outcome by outliers. Here we propose a statistical analysis method operating on the ODF, either the diffusion ODF or fiber ODF. To avoid outlier bias and reliably detect voxelwise group differences and correlations with demographic or behavioral variables, we apply the Low-Rank plus Sparse (L+S) matrix decomposition on the voxelwise ODFs which separates the sparse individual variability in the sparse matrix S whilst recovering the essential ODF features in the low-rank matrix L. We demonstrate the performance of this ODF L+S approach by replicating the established negative association between global white matter integrity and physical obesity in the Human Connectome dataset. The volume of positive findings p<0.01,227cm3, agrees with and expands on the volume found by TBSS (17 cm3), Connectivity based fixel enhancement (15 cm3) and Connectometry (212 cm3). In the same dataset we further localize the correlations of brain structure with neurocognitive measures such as fluid intelligence and episodic memory. The presented ODF L+S approach will aid in the full utilization of all acquired diffusion weightings leading to the detection of smaller group differences in clinically relevant settings as well as in neuroscience applications.
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Affiliation(s)
- Steven H Baete
- Center for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA.
| | - Jingyun Chen
- Center for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA; Dept. of Psychiatry, NYU School of Medicine, One Park Avenue, New York, NY, 10016, USA
| | - Ying-Chia Lin
- Center for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA
| | - Xiuyuan Wang
- Center for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA
| | - Ricardo Otazo
- Center for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA
| | - Fernando E Boada
- Center for Advanced Imaging Innovation and Research (CAI(2)R), NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA; Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, 660 First Ave 4th Floor, New York, NY, 10016, USA
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El-Sayes J, Harasym D, Turco CV, Locke MB, Nelson AJ. Exercise-Induced Neuroplasticity: A Mechanistic Model and Prospects for Promoting Plasticity. Neuroscientist 2018; 25:65-85. [PMID: 29683026 DOI: 10.1177/1073858418771538] [Citation(s) in RCA: 132] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Aerobic exercise improves cognitive and motor function by inducing neural changes detected using molecular, cellular, and systems level neuroscience techniques. This review unifies the knowledge gained across various neuroscience techniques to provide a comprehensive profile of the neural mechanisms that mediate exercise-induced neuroplasticity. Using a model of exercise-induced neuroplasticity, this review emphasizes the sequence of neural events that accompany exercise, and ultimately promote changes in human performance. This is achieved by differentiating between neuroplasticity induced by acute versus chronic aerobic exercise. Furthermore, this review emphasizes experimental considerations that influence the opportunity to observe exercise-induced neuroplasticity in humans. These include modifiable factors associated with the exercise intervention and nonmodifiable factors such as biological sex, ovarian hormones, genetic variations, and fitness level. To maximize the beneficial effects of exercise in health, disease, and following injury, future research should continue to explore the mechanisms that mediate exercise-induced neuroplasticity. This review identifies some fundamental gaps in knowledge that may serve to guide future research in this area.
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Affiliation(s)
- Jenin El-Sayes
- 1 Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
| | - Diana Harasym
- 2 School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada
| | - Claudia V Turco
- 1 Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
| | - Mitchell B Locke
- 1 Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
| | - Aimee J Nelson
- 1 Department of Kinesiology, McMaster University, Hamilton, Ontario, Canada
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Chen Y, Zhao X, Zhang X, Liu Y, Zhou P, Ni H, Ma J, Ming D. Age-related early/late variations of functional connectivity across the human lifespan. Neuroradiology 2018; 60:403-412. [PMID: 29383434 DOI: 10.1007/s00234-017-1973-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Accepted: 12/28/2017] [Indexed: 12/18/2022]
Abstract
PURPOSE Many questions remain regarding how the brain develops, matures, and ages across the lifespan. The functional connectivity networks in the resting-state brain can reflect many of the characteristic changes in the brain that are associated with increasing age. Functional connectivity has been shown to be time-dependent over the course of a lifespan and even over the course of minutes. The lifespan strategies of all cognitive networks and how dynamic functional connectivity is associated with age are unclear. METHODS In this paper, studies employing both linear and quadratic models to define new specific lifespan strategies, including early/late increase/decrease models, were conducted to explore the lifespan functional changes. A large data sample was retrieved from the publicly available data from the Nathan Kline Institute (N = 149 and ages 9-85). Both static and dynamic functional connectivity indexes were calculated including the static functional connectivity, the mean of the dynamic functional connectivity and variations in dynamic functional connectivity. RESULTS The between-network connectivity results revealed early increases in the default-mode (DF) and cingulo-opercular network (CO)-associated network connectivities and a late increase in the fronto-parietal (FP)-associated network connectivity. These results depicted various lifespan strategies for different development stages and different cognitive networks across the lifespan. Additionally, the static FC and mean dynamic FC exhibited consistent results, and their variation exhibited a constant decrease with age across the entire age range. CONCLUSION These results (FDR-corrected p value < 0.05) suggest that the early/late variations in lifespan strategies could reflect an association between varied and complex circumstances and brain development.
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Affiliation(s)
- Yuanyuan Chen
- College of Microelectronics, Tianjin University, Tianjin, China.,Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China
| | - Xin Zhao
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Xiong Zhang
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Ya'nan Liu
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Peng Zhou
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Hongyan Ni
- Department of Radiology, Tianjin First Center Hospital, Tianjin, China
| | - Jianguo Ma
- College of Microelectronics, Tianjin University, Tianjin, China
| | - Dong Ming
- Tianjin International Joint Research Center for Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China. .,Department of Biomedical Engineering, College of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China.
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Zafonte RD, Shih SL, Iaccarino MA, Tan CO. Neurologic benefits of sports and exercise. HANDBOOK OF CLINICAL NEUROLOGY 2018; 158:463-471. [PMID: 30482373 DOI: 10.1016/b978-0-444-63954-7.00042-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Traumatic brain injury (TBI) is associated with several pathophysiologic changes, including: neurostructural alterations; molecular changes with shifts in circulating neurotrophins; impaired neural metabolism; changes in cerebrovascular autoregulation, vasoreactivity, and neurovascular coupling; and alterations in functional brain connectivity. In animal models of TBI, aerobic exercise reduces neuronal injury, promotes neuronal survival, and enhances the production of neuroprotective trophic factors. However, the timing of exercise initiation is an important consideration as early exercise in the acute postinjury period may impede recovery mechanisms, although evidence for this in humans is lacking. Though human clinical studies are limited, aerobic exercise post-TBI engages cerebrovascular mechanisms and may impart neurophysiologic benefits to mitigate post-TBI pathophysiologic changes. Additionally, subsymptom threshold exercise in humans has been demonstrated to be safe, feasible, and effective in decreasing symptom burden in individuals with mild TBI, and to counteract the detrimental effects of prolonged inactivity, subsequent physical deconditioning, and its negative emotional sequelae. This chapter will explore the potential role of aerobic exercise in neurorecovery after TBI.
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Affiliation(s)
- Ross D Zafonte
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
| | - Shirley L Shih
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Mary Alexis Iaccarino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Can Ozan Tan
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Massachusetts General Hospital, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
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Huang H, Wang J, Seger C, Lu M, Deng F, Wu X, He Y, Niu C, Wang J, Huang R. Long-term intensive gymnastic training induced changes in intra- and inter-network functional connectivity: an independent component analysis. Brain Struct Funct 2017; 223:131-144. [DOI: 10.1007/s00429-017-1479-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Accepted: 07/17/2017] [Indexed: 01/08/2023]
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Raichlen DA, Alexander GE. Adaptive Capacity: An Evolutionary Neuroscience Model Linking Exercise, Cognition, and Brain Health. Trends Neurosci 2017; 40:408-421. [PMID: 28610948 PMCID: PMC5926798 DOI: 10.1016/j.tins.2017.05.001] [Citation(s) in RCA: 115] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2017] [Revised: 04/18/2017] [Accepted: 05/01/2017] [Indexed: 11/23/2022]
Abstract
The field of cognitive neuroscience was transformed by the discovery that exercise induces neurogenesis in the adult brain, with the potential to improve brain health and stave off the effects of neurodegenerative disease. However, the basic mechanisms underlying exercise-brain connections are not well understood. We use an evolutionary neuroscience approach to develop the adaptive capacity model (ACM), detailing how and why physical activity improves brain function based on an energy-minimizing strategy. Building on studies showing a combined benefit of exercise and cognitive challenge to enhance neuroplasticity, our ACM addresses two fundamental questions: (i) what are the proximate and ultimate mechanisms underlying age-related brain atrophy, and (ii) how do lifestyle changes influence the trajectory of healthy and pathological aging?
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Affiliation(s)
- David A Raichlen
- School of Anthropology, University of Arizona, 1009 East South Campus Drive, Tucson AZ 85721, USA.
| | - Gene E Alexander
- Departments of Psychology and Psychiatry, Neuroscience and Physiological Sciences Graduate Interdisciplinary Programs, and BIO5 Institute, University of Arizona, Tucson, AZ 85721, USA; Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ 85721, USA; Arizona Alzheimer's Consortium, Phoenix, AZ 85006, USA
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48
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Seidel O, Carius D, Kenville R, Ragert P. Motor learning in a complex balance task and associated neuroplasticity: a comparison between endurance athletes and nonathletes. J Neurophysiol 2017; 118:1849-1860. [PMID: 28659467 DOI: 10.1152/jn.00419.2017] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 06/27/2017] [Accepted: 06/27/2017] [Indexed: 11/22/2022] Open
Abstract
Studies suggested that motor expertise is associated with functional and structural brain alterations, which positively affect sensorimotor performance and learning capabilities. The purpose of the present study was to unravel differences in motor skill learning and associated functional neuroplasticity between endurance athletes (EA) and nonathletes (NA). For this purpose, participants had to perform a multimodal balance task (MBT) training on 2 sessions, which were separated by 1 wk. Before and after MBT training, a static balance task (SBT) had to be performed. MBT-induced functional neuroplasticity and neuromuscular alterations were assessed by means of functional near-infrared spectroscopy (fNIRS) and electromyography (EMG) during SBT performance. We hypothesized that EA would showed superior initial SBT performance and stronger MBT-induced improvements in SBT learning rates compared with NA. On a cortical level, we hypothesized that MBT training would lead to differential learning-dependent functional changes in motor-related brain regions [such as primary motor cortex (M1)] during SBT performance. In fact, EA showed superior initial SBT performance, whereas learning rates did not differ between groups. On a cortical level, fNIRS recordings (time × group interaction) revealed a stronger MBT-induced decrease in left M1 and inferior parietal lobe (IPL) for deoxygenated hemoglobin in EA. Even more interesting, learning rates were correlated with fNIRS changes in right M1/IPL. On the basis of these findings, we provide novel evidence for superior MBT training-induced functional neuroplasticity in highly trained athletes. Future studies should investigate these effects in different sports disciplines to strengthen previous work on experience-dependent neuroplasticity.NEW & NOTEWORTHY Motor expertise is associated with functional/structural brain plasticity. How such neuroplastic reorganization translates into altered motor learning processes remains elusive. We investigated endurance athletes (EA) and nonathletes (NA) in a multimodal balance task (MBT). EA showed superior static balance performance (SBT), whereas MBT-induced SBT improvements did not differ between groups. Functional near-infrared spectroscopy recordings revealed a differential MBT training-induced decrease of deoxygenated hemoglobin in left primary motor cortex and inferior parietal lobe between groups.
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Affiliation(s)
- Oliver Seidel
- Institute for General Kinesiology and Exercise Science, University of Leipzig, Leipzig, Germany; and.,Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Daniel Carius
- Institute for General Kinesiology and Exercise Science, University of Leipzig, Leipzig, Germany; and
| | - Rouven Kenville
- Institute for General Kinesiology and Exercise Science, University of Leipzig, Leipzig, Germany; and.,Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Patrick Ragert
- Institute for General Kinesiology and Exercise Science, University of Leipzig, Leipzig, Germany; and .,Department of Neurology, Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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Affiliation(s)
- Mooyeon Oh-Park
- Geriatric Rehabilitation, Kessler Institute for Rehabilitation, West Orange, NJ, USA
- Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
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