1
|
Zheng C, Cao Y, Li Y, Ye Z, Jia X, Li M, Yu Y, Liu W. Long-term table tennis training alters dynamic functional connectivity and white matter microstructure in large scale brain regions. Brain Res 2024; 1838:148889. [PMID: 38552934 DOI: 10.1016/j.brainres.2024.148889] [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: 01/03/2024] [Revised: 03/22/2024] [Accepted: 03/26/2024] [Indexed: 05/12/2024]
Abstract
Table tennis training has been employed as an exercise treatment to enhance cognitive brain functioning in patients with mental illnesses. However, research on its underlying mechanisms remains limited. In this study, we investigated functional and structural changes in large-scale brain regions between 20 table tennis players (TTPs) and 21 healthy controls (HCs) using 7-Tesla magnetic resonance imaging (MRI) techniques. Compared with those of HCs, TTPs exhibited significantly greater fractional anisotropy (FA) and axial diffusivity (AD) values in multiple fiber tracts. We used the locations with the most significant structural changes in white matter as the seed areas and then compared static and dynamic functional connectivity (sFC and dFC). Brodmann 11, located in the orbitofrontal cortex, showed altered dFC values to large-scale brain regions, such as the occipital lobe, thalamus, and cerebellar hemispheres, in TTPs. Brodmann 48, located in the temporal lobe, showed altered dFC to the parietal lobe, frontal lobe, cerebellum, and occipital lobe. Furthermore, the AD values of the forceps minor (Fmi) and right anterior thalamic radiations (ATRs) were negatively correlated with useful field of view (UFOV) test scores in TTPs. Our results suggest that table tennis players exhibit a unique pattern of dynamic neural activity, this provides evidence for potential mechanisms through which table tennis interventions can enhance attention and other cognitive functions.
Collapse
Affiliation(s)
- Chanying Zheng
- Interdisciplinary Institute of Neuroscience and Technology, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China; Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Yuting Cao
- Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China
| | - Yuyang Li
- Interdisciplinary Institute of Neuroscience and Technology, Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | | | - Xize Jia
- School of Psychology, Zhejiang Normal University, Jinhua, China
| | - Mengting Li
- School of Psychology, Zhejiang Normal University, Jinhua, China.
| | - Yang Yu
- Psychiatry Department, the Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang, Hangzhou, China.
| | - Wenming Liu
- Department of Sport Science, College of Education, Zhejiang University, Hangzhou, China.
| |
Collapse
|
2
|
Zeng Q, Yu J, Hu Q, Yin K, Li Q, Huang J, Xie L, Wang J, Zhang C, Wang J, Zhang J, Feng Y. Investigation into white matter microstructure differences in visual training by using an automated fiber tract subclassification segmentation quantification method. Neurosci Lett 2024; 821:137574. [PMID: 38036084 DOI: 10.1016/j.neulet.2023.137574] [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: 08/24/2023] [Revised: 11/25/2023] [Accepted: 11/27/2023] [Indexed: 12/02/2023]
Abstract
Visual training has emerged as a useful framework for investigating training-related brain plasticity, a highly complex task involving the interaction of visual orientation, attention, reasoning, and cognitive functions. However, the effects of long-term visual training on microstructural changes within white matter (WM) is poorly understood. Therefore, a set of visual training programs was designed, and automated fiber tract subclassification segmentation quantification based on diffusion magnetic resonance imaging was performed to obtain the anatomical changes in the brains of visual trainees. First, 40 healthy matched participants were randomly assigned to the training group or the control group. The training group underwent 10 consecutive weeks of visual training. Then, the fiber tracts of the subjects were automatically identified and further classified into fiber clusters to determine the differences between the two groups on a detailed scale. Next, each fiber cluster was divided into segments that can analyze specific areas of a fiber cluster. Lastly, the diffusion metrics of the two groups were comparatively analyzed to delineate the effects of visual training on WM microstructure. Our results showed that there were significant differences in the fiber clusters of the cingulate bundle, thalamus frontal, uncinate fasciculus, and corpus callosum between the training group compared and the control group. In addition, the training group exhibited lower mean fractional anisotropy, higher mean diffusivity and radial diffusivity than the control group. Therefore, the long-term cognitive activities, such as visual training, may systematically influence the WM properties of cognition, attention, memory, and processing speed.
Collapse
Affiliation(s)
- Qingrun Zeng
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China
| | - Jiangli Yu
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China
| | - Qiming Hu
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China
| | - Kuiying Yin
- Nanjing Research Institute of Electronic Technology, Nanjing 210012, China
| | - Qixue Li
- Nanjing Research Institute of Electronic Technology, Nanjing 210012, China
| | - Jiahao Huang
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China
| | - Lei Xie
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China
| | - Jingqiang Wang
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China
| | - Chengzhe Zhang
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China
| | - Jiafeng Wang
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China
| | - Jiawei Zhang
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China
| | - Yuanjing Feng
- Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; Zhejiang Provincial United Key Laboratory of Embedded Systems, Hangzhou 310023, China.
| |
Collapse
|
3
|
Foster Vander Elst O, Foster NHD, Vuust P, Keller PE, Kringelbach ML. The Neuroscience of Dance: A Conceptual Framework and Systematic Review. Neurosci Biobehav Rev 2023; 150:105197. [PMID: 37100162 DOI: 10.1016/j.neubiorev.2023.105197] [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: 07/14/2022] [Revised: 04/13/2023] [Accepted: 04/21/2023] [Indexed: 04/28/2023]
Abstract
Ancient and culturally universal, dance pervades many areas of life and has multiple benefits. In this article, we provide a conceptual framework and systematic review, as a guide for researching the neuroscience of dance. We identified relevant articles following PRISMA guidelines, and summarised and evaluated all original results. We identified avenues for future research in: the interactive and collective aspects of dance; groove; dance performance; dance observation; and dance therapy. Furthermore, the interactive and collective aspects of dance constitute a vital part of the field but have received almost no attention from a neuroscientific perspective so far. Dance and music engage overlapping brain networks, including common regions involved in perception, action, and emotion. In music and dance, rhythm, melody, and harmony are processed in an active, sustained pleasure cycle giving rise to action, emotion, and learning, led by activity in specific hedonic brain networks. The neuroscience of dance is an exciting field, which may yield information concerning links between psychological processes and behaviour, human flourishing, and the concept of eudaimonia.
Collapse
Affiliation(s)
- Olivia Foster Vander Elst
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music Aarhus/Aalborg, Denmark; Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, UK.
| | | | - Peter Vuust
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music Aarhus/Aalborg, Denmark
| | - Peter E Keller
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music Aarhus/Aalborg, Denmark; The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Australia
| | - Morten L Kringelbach
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University & The Royal Academy of Music Aarhus/Aalborg, Denmark; Centre for Eudaimonia and Human Flourishing, Linacre College, University of Oxford, UK; Department of Psychiatry, University of Oxford, UK
| |
Collapse
|
4
|
Tervaniemi M. The neuroscience of music – towards ecological validity. Trends Neurosci 2023; 46:355-364. [PMID: 37012175 DOI: 10.1016/j.tins.2023.03.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 01/28/2023] [Accepted: 03/02/2023] [Indexed: 04/03/2023]
Abstract
Studies in the neuroscience of music gained momentum in the 1990s as an integrated part of the well-controlled experimental research tradition. However, during the past two decades, these studies have moved toward more naturalistic, ecologically valid paradigms. Here, I introduce this move in three frameworks: (i) sound stimulation and empirical paradigms, (ii) study participants, and (iii) methods and contexts of data acquisition. I wish to provide a narrative historical overview of the development of the field and, in parallel, to stimulate innovative thinking to further advance the ecological validity of the studies without overlooking experimental rigor.
Collapse
Affiliation(s)
- Mari Tervaniemi
- Centre of Excellence in Music, Mind, Body, and Brain, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland; Cognitive Brain Research Unit, Department of Psychology and Locopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
| |
Collapse
|
5
|
Zaferiou AM. Dance-Themed National Biomechanics Day Community Engagement to Inspire our Future STEAM Leaders. J Biomech 2023; 150:111511. [PMID: 36870260 DOI: 10.1016/j.jbiomech.2023.111511] [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: 10/19/2022] [Revised: 01/19/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023]
Abstract
Community engagement experiences through National Biomechanics Day (NBD) that focused on dance biomechanics have provided excellent Science, Technology, Engineering, Art, and Math (STEAM) learning opportunities. During these experiences, bidirectional learning has been enjoyed by the biomechanists hosting the events and the kindergarten through 12th grade student attendees. In this article, perspectives are shared about dance biomechanics and hosting dance-themed NBD events. Importantly, examples of high school student feedback are provided that point towards the positive impact of NBD by inviting future generations to advance the field of biomechanics.
Collapse
Affiliation(s)
- Antonia M Zaferiou
- Department of Biomedical Engineering, Stevens Institute of Technology, Hoboken NJ, USA.
| |
Collapse
|
6
|
Papatzikis E, Agapaki M, Selvan RN, Pandey V, Zeba F. Quality standards and recommendations for research in music and neuroplasticity. Ann N Y Acad Sci 2023; 1520:20-33. [PMID: 36478395 DOI: 10.1111/nyas.14944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Research on how music influences brain plasticity has gained momentum in recent years. Considering, however, the nonuniform methodological standards implemented, the findings end up being nonreplicable and less generalizable. To address the need for a standardized baseline of research quality, we gathered all the studies in the music and neuroplasticity field in 2019 and appraised their methodological rigor systematically and critically. The aim was to provide a preliminary and, at the minimum, acceptable quality threshold-and, ipso facto, suggested recommendations-whereupon further discussion and development may take place. Quality appraisal was performed on 89 articles by three independent raters, following a standardized scoring system. The raters' scoring was cross-referenced following an inter-rater reliability measure, and further studied by performing multiple ratings comparisons and matrix analyses. The results for methodological quality were at a quite good level (quantitative articles: mean = 0.737, SD = 0.084; qualitative articles: mean = 0.677, SD = 0.144), following a moderate but statistically significant level of agreement between the raters (W = 0.44, χ2 = 117.249, p = 0.020). We conclude that the standards for implementation and reporting are of high quality; however, certain improvements are needed to reach the stringent levels presumed for such an influential interdisciplinary scientific field.
Collapse
Affiliation(s)
- Efthymios Papatzikis
- Department of Early Childhood Education and Care, Oslo Metropolitan University, Oslo, Norway
| | - Maria Agapaki
- Department of Early Childhood Education and Care, Oslo Metropolitan University, Oslo, Norway
| | - Rosari Naveena Selvan
- Institute for Physics 3 - Biophysics and Bernstein Center for Computational Neuroscience (BCCN), University of Göttingen, Göttingen, Germany.,Department of Psychology, University of Münster, Münster, Germany
| | | | - Fathima Zeba
- School of Humanities and Social Sciences, Manipal Academy of Higher Education Dubai, Dubai, United Arab Emirates
| |
Collapse
|
7
|
Wolff L, Quan Y, Perry G, Forde Thompson W. Music Engagement as a Source of Cognitive Reserve. Am J Alzheimers Dis Other Demen 2023; 38:15333175231214833. [PMID: 37993973 PMCID: PMC10666690 DOI: 10.1177/15333175231214833] [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] [Indexed: 11/24/2023]
Abstract
Music engagement is a ubiquitous activity that is thought to have cognitive benefits for the rapidly aging population. In the absence of robust treatment approaches for many age-related and neuropathological health issues, interest has emerged surrounding lifestyle-enriching activities, like exercise and music engagement, to build cognitive reserve across the lifespan and preserve neurocognitive function in older adults. The present review evaluates evidence of neurocognitive preservation arising from lifelong music engagement with respect to the cognitive reserve hypothesis. We collated a body of neuroimaging, behavioral and epidemiological evidence to adjudicate the benefits of music engagement for cognitive reserve. The findings suggest that music engagement should be considered in tandem with other well-established cognitive reserve proxies as a contributor to differential clinical outcomes in older populations at risk of age-related and neuropathological cognitive decline.
Collapse
Affiliation(s)
- Lee Wolff
- Department of Psychology, Bond University, Robina, QLD, Australia
| | - Yixue Quan
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Gemma Perry
- Department of Psychology, Bond University, Robina, QLD, Australia
| | - William Forde Thompson
- Department of Psychology, Bond University, Robina, QLD, Australia
- Department of Psychology, Macquarie University, Sydney, NSW, Australia
| |
Collapse
|
8
|
Stupacher J, Matthews TE, Pando-Naude V, Foster Vander Elst O, Vuust P. The sweet spot between predictability and surprise: musical groove in brain, body, and social interactions. Front Psychol 2022; 13:906190. [PMID: 36017431 PMCID: PMC9396343 DOI: 10.3389/fpsyg.2022.906190] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 07/19/2022] [Indexed: 11/30/2022] Open
Abstract
Groove—defined as the pleasurable urge to move to a rhythm—depends on a fine-tuned interplay between predictability arising from repetitive rhythmic patterns, and surprise arising from rhythmic deviations, for example in the form of syncopation. The perfect balance between predictability and surprise is commonly found in rhythmic patterns with a moderate level of rhythmic complexity and represents the sweet spot of the groove experience. In contrast, rhythms with low or high complexity are usually associated with a weaker experience of groove because they are too boring to be engaging or too complex to be interpreted, respectively. Consequently, the relationship between rhythmic complexity and groove experience can be described by an inverted U-shaped function. We interpret this inverted U shape in light of the theory of predictive processing and provide perspectives on how rhythmic complexity and groove can help us to understand the underlying neural mechanisms linking temporal predictions, movement, and reward. A better understanding of these mechanisms can guide future approaches to improve treatments for patients with motor impairments, such as Parkinson’s disease, and to investigate prosocial aspects of interpersonal interactions that feature music, such as dancing. Finally, we present some open questions and ideas for future research.
Collapse
Affiliation(s)
- Jan Stupacher
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University and The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
- Institute of Psychology, University of Graz, Graz, Austria
- *Correspondence: Jan Stupacher,
| | - Tomas Edward Matthews
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University and The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
| | - Victor Pando-Naude
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University and The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
| | - Olivia Foster Vander Elst
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University and The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
| | - Peter Vuust
- Center for Music in the Brain, Department of Clinical Medicine, Aarhus University and The Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark
| |
Collapse
|
9
|
Xu X, Jin Y, Pan N, Cao M, Jing J, Ma J, Fan X, Tan S, Song X, Li X. A Diffusion Tensor Imaging Study on the White Matter Structures Related to the Phonology in Cantonese-Mandarin Bilinguals. Front Hum Neurosci 2022; 16:851669. [PMID: 35601910 PMCID: PMC9120590 DOI: 10.3389/fnhum.2022.851669] [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: 01/20/2022] [Accepted: 03/24/2022] [Indexed: 11/13/2022] Open
Abstract
Cantonese and Mandarin are logographic languages, and the phonology is the main difference between the two languages. It is unclear whether the long-term experience of Cantonese-Mandarin bilingualism will shape different brain white matter structures related to phonological processing. A total of 30 Cantonese-Mandarin bilinguals and 30 Mandarin monolinguals completed diffusion-weighted imaging scan and phonological processing tasks. The tractography and tract-based spatial statistics were used to investigate the structural differences in the bilateral superior longitudinal fasciculus (SLF), inferior longitudinal fasciculus (ILF), and inferior fronto-occipital fasciculus (IFOF) between Cantonese-Mandarin bilinguals and Mandarin monolinguals. The post-hoc correlation analysis was conducted to investigate the relationship between the different structures with phonological processing skills. Compared to the Mandarin monolinguals, the Cantonese-Mandarin bilinguals had higher fractional anisotropy (FA) along the left ILFs higher mean diffusivity (MD) along the right IFOF and the temporoparietal segment of SLF (tSLF), higher axial diffusivity (AD) in the right IFOF and left ILF, and lower number of streamlines in the bilateral tSLF. The mean AD of the different voxels in the right IFOF and the mean FA of the different voxels in the left ILF were positively correlated with the inverse efficiency score (IES) of the Cantonese auditory and Mandarin visual rhyming judgment tasks, respectively, within the bilingual group. The correlation between FA and IES was different among the groups. The long-term experience of Cantonese-Mandarin bilinguals shapes the different brain white matter structures in tSLF, IFOF, and ILF. Compared to the monolinguals, the bilinguals' white matter showed higher diffusivity, especially in the axonal direction. These changes were related to bilinguals' phonological processing.
Collapse
Affiliation(s)
- Xiaoyu Xu
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yuying Jin
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ning Pan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Muqing Cao
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jin Jing
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jingwen Ma
- Guangdong Provincial Maternal and Child Health Care Hospital, Guangzhou, China
| | - Xiaoxuan Fan
- Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Si Tan
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaojing Song
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiuhong Li
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
10
|
Su WC, Amonkar N, Cleffi C, Srinivasan S, Bhat A. Neural Effects of Physical Activity and Movement Interventions in Individuals With Developmental Disabilities-A Systematic Review. Front Psychiatry 2022; 13:794652. [PMID: 35242063 PMCID: PMC8886122 DOI: 10.3389/fpsyt.2022.794652] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 01/03/2022] [Indexed: 01/21/2023] Open
Abstract
Individuals with developmental disabilities present with perceptuo-motor, social communication, and cognitive impairments that often relate to underlying atypical brain structure and functioning. Physical activity/movement interventions improve behavioral performance of individuals with and without developmental disabilities. Majority of the evidence on potential neural mechanisms explaining the impact of physical activity/movement interventions is based on studies in individuals with typical development; there is a dearth of systematic reviews synthesizing the neural effects of physical activity/movement interventions in individuals with developmental disabilities. In this systematic review, we have gathered evidence on the neural effects of physical activity/movement interventions from 32 papers reporting substantial neural effects and behavioral improvements in individuals with developmental disabilities. Chronic intervention effects (multiple sessions) were greater than acute intervention effects (single session). Specifically, using electroencephalogram, functional magnetic resonance imaging, diffusion tensor imaging, and functional near-infrared spectroscopy, studies found physical activity/movement intervention-related changes in neural activity, indicating normalization of cortical arousal in individuals with attention-deficit /hyperactivity disorder (ADHD), increased social brain connectivity in individuals with autism spectrum disorder (ASD), and more efficient executive functioning processes in individuals with a wide range of other developmental disabilities. Despite promising results, more research is clearly needed in this area with larger sample sizes, using standardized neuroimaging tools/variables, and across multiple diagnoses to further explore the neural mechanisms underlying physical activity/movement interventions and to replicate findings from the present review.
Collapse
Affiliation(s)
- Wan-Chun Su
- Department of Physical Therapy, University of Delaware, Newark, DE, United States
- Biomechanics and Movement Science Program, University of Delaware, Newark, DE, United States
| | - Nidhi Amonkar
- Physical Therapy Program, Department of Kinesiology, University of Connecticut, Storrs, CT, United States
| | - Corina Cleffi
- Department of Physical Therapy, University of Delaware, Newark, DE, United States
- Biomechanics and Movement Science Program, University of Delaware, Newark, DE, United States
| | - Sudha Srinivasan
- Physical Therapy Program, Department of Kinesiology, University of Connecticut, Storrs, CT, United States
- Institute for Health, Intervention, and Policy (InCHIP), University of Connecticut, Storrs, CT, United States
- The Connecticut Institute for the Brain and Cognitive Sciences (IBACS), University of Connecticut, Storrs, CT, United States
| | - Anjana Bhat
- Department of Physical Therapy, University of Delaware, Newark, DE, United States
- Biomechanics and Movement Science Program, University of Delaware, Newark, DE, United States
- Department of Psychological and Brain Sciences, University of Delaware, Newark, DE, United States
| |
Collapse
|
11
|
Fu Y, Zhou L, Li H, Hsiao JHT, Li B, Tanglay O, Auwyang AD, Wang E, Feng J, Kim WS, Liu J, Halliday GM. Adaptive structural changes in the motor cortex and white matter in Parkinson's disease. Acta Neuropathol 2022; 144:861-879. [PMID: 36053316 PMCID: PMC9547807 DOI: 10.1007/s00401-022-02488-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/19/2022] [Accepted: 08/27/2022] [Indexed: 01/26/2023]
Abstract
Parkinson's disease (PD) is a movement disorder characterized by the early loss of nigrostriatal dopaminergic pathways producing significant network changes impacting motor coordination. Recently three motor stages of PD have been proposed (a silent period when nigrostriatal loss begins, a prodromal motor period with subtle focal manifestations, and clinical PD) with evidence that motor cortex abnormalities occur to produce clinical PD[8]. We directly assess structural changes in the primary motor cortex and corticospinal tract using parallel analyses of longitudinal clinical and cross-sectional pathological cohorts thought to represent different stages of PD. 18F-FP-CIT positron emission tomography and subtle motor features identified patients with idiopathic rapid-eye-movement sleep behaviour disorder (n = 8) that developed prodromal motor signs of PD. Longitudinal diffusion tensor imaging before and after the development of prodromal motor PD showed higher fractional anisotropy in motor cortex and corticospinal tract compared to controls, indicating adaptive structural changes in motor networks in concert with nigrostriatal dopamine loss. Histological analyses of the white matter underlying the motor cortex showed progressive disorientation of axons with segmental replacement of neurofilaments with α-synuclein, enlargement of myelinating oligodendrocytes and increased density of their precursors. There was no loss of neurons in the motor cortex in early or late pathologically confirmed motor PD compared to controls, although there were early cortical increases in neuronal neurofilament light chain and myelin proteins in association with α-synuclein accumulation. Our results collectively provide evidence of a direct impact of PD on primary motor cortex and its output pathways that begins in the prodromal motor stage of PD with structural changes confirmed in early PD. These adaptive structural changes become considerable as the disease advances potentially contributing to motor PD.
Collapse
Affiliation(s)
- YuHong Fu
- Brain and Mind Centre & Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia
| | - Liche Zhou
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Hongyun Li
- Brain and Mind Centre & Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia
| | - Jen-Hsiang T. Hsiao
- Brain and Mind Centre & Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia
| | - Binyin Li
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Onur Tanglay
- Neuroscience Research Australia & Faculty of Medicine School of Medical Sciences, University of New South Wales, Sydney, NSW 2052 Australia
| | - Andrew D. Auwyang
- Brain and Mind Centre & Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia
| | - Elinor Wang
- Brain and Mind Centre & Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia
| | - Jieyao Feng
- Brain and Mind Centre & Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia
| | - Woojin S. Kim
- Brain and Mind Centre & Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia ,Neuroscience Research Australia & Faculty of Medicine School of Medical Sciences, University of New South Wales, Sydney, NSW 2052 Australia
| | - Jun Liu
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025 China
| | - Glenda M. Halliday
- Brain and Mind Centre & Faculty of Medicine and Health School of Medical Sciences, The University of Sydney, Sydney, NSW 2050 Australia ,Neuroscience Research Australia & Faculty of Medicine School of Medical Sciences, University of New South Wales, Sydney, NSW 2052 Australia
| |
Collapse
|
12
|
Tadayonnejad R, Pizzagalli F, Murray SB, Pauli WM, Conde G, Bari AA, Strober M, O'Doherty JP, Feusner JD. White matter tracts characteristics in habitual decision-making circuit underlie ritual behaviors in anorexia nervosa. Sci Rep 2021; 11:15980. [PMID: 34354139 PMCID: PMC8342714 DOI: 10.1038/s41598-021-95300-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 07/16/2021] [Indexed: 12/29/2022] Open
Abstract
Anorexia nervosa (AN) is a difficult to treat, pernicious psychiatric disorder that has been linked to decision-making abnormalities. We examined the structural characteristics of habitual and goal-directed decision-making circuits and their connecting white matter tracts in 32 AN and 43 healthy controls across two independent data sets of adults and adolescents as an explanatory sub-study. Total bilateral premotor/supplementary motor area-putamen tracts in the habit circuit had a significantly higher volume in adults with AN, relative to controls. Positive correlations were found between both the number of tracts and white matter volume (WMV) in the habit circuit, and the severity of ritualistic/compulsive behaviors in adults and adolescents with AN. Moreover, we found a significant influence of the habit circuit WMV on AN ritualistic/compulsive symptom severity, depending on the preoccupations symptom severity levels. These findings suggest that AN is associated with white matter plasticity alterations in the habit circuit. The association between characteristics of habit circuit white matter tracts and AN behavioral symptoms provides support for a circuit based neurobiological model of AN, and identifies the habit circuit as a focus for further investigation to aid in development of novel and more effective treatments based on brain-behavior relationships.
Collapse
Affiliation(s)
- Reza Tadayonnejad
- Division of Neuromodulation, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Room # 57.464, 760 Westwood Plaza, Los Angeles, CA, 90024, USA. .,Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
| | - Fabrizio Pizzagalli
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, Marina del Rey, CA, USA.,Department of Neuroscience "Rita Levi Montalcini", University of Turin, Turin, Italy
| | - Stuart B Murray
- Department of Psychiatry and the Behavioral Sciences, University of Southern California, Los Angeles, CA, USA
| | - Wolfgang M Pauli
- Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.,Artificial Intelligence Platform, Redmond, WA, USA
| | - Geena Conde
- Division of Cognitive Neuroscience, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA, USA
| | - Ausaf A Bari
- Department of Neursurgery, University of California at Los Angeles, Los Angeles, CA, USA
| | - Michael Strober
- Division of Child and Adolescent, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA, USA
| | - John P O'Doherty
- Computation and Neural Systems Program and Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
| | - Jamie D Feusner
- Division of Cognitive Neuroscience, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA, USA.,Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Division of Neurosciences and Clinical Translation, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
13
|
Oschwald J, Mérillat S, Jäncke L, Seidler RD. Fractional Anisotropy in Selected, Motor-Related White Matter Tracts and Its Cross-Sectional and Longitudinal Associations With Motor Function in Healthy Older Adults. Front Hum Neurosci 2021; 15:621263. [PMID: 34239423 PMCID: PMC8258250 DOI: 10.3389/fnhum.2021.621263] [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: 10/25/2020] [Accepted: 05/03/2021] [Indexed: 11/18/2022] Open
Abstract
Background While it is well-known that deficits in motor performance and brain structural connectivity occur in the course of healthy aging, it is still unclear if and how these changes are related to each other. While some cross-sectional studies suggest that white matter (WM) microstructure is positively associated with motor function in healthy older adults, more evidence is needed. Moreover, longitudinal data is required to estimate whether similar associations can be found between trajectories of change in WM microstructure and motor function. The current study addresses this gap by investigating age-associations and longitudinal changes in WM microstructure and motor function, and the cross-sectional (level-level) and longitudinal (level-change, change-change) association between these two domains. Method We used multiple-occasion data (covering 4 years) from a large sample (N = 231) of healthy older adults from the Longitudinal Healthy Aging Brain (LHAB) database. To measure WM microstructure, we used diffusion-weighted imaging data to compute mean FA in three selected WM tracts [forceps minor (FMIN); superior longitudinal fasciculus (SLF); corticospinal tract (CST)]. Motor function was measured via two motor speed tests (grooved pegboard, finger tapping) and one motor strength test (grip force test), separately for the left and the right hand. The statistical analysis was conducted with longitudinal growth curve models in the structural equation modeling framework. Results The results revealed longitudinal decline and negative cross-sectional age-associations for mean WM FA in the FMIN and SLF, and for motor function in all tests, with a higher vulnerability for left than right hand motor performance. Regarding cross-domain associations, we found a significant positive level-level correlation among mean WM FA in the FMIN with motor speed. Mean FA in SLF and CST was not correlated with motor performance measures, and none of the level-change or change-change associations were significant. Overall, our results (a) provide important insights into aging-related changes of fine motor abilities and FA in selected white matter tracts associated with motor control, (b) support previous cross-sectional work showing that neural control of movement in older adults also involves brain structures outside the core motor system and (c) align with the idea that, in healthy aging, compensatory mechanisms may be in place and longer time delays may be needed to reveal level-change or change-change associations.
Collapse
Affiliation(s)
- Jessica Oschwald
- University Research Priority Program "Dynamics of Healthy Aging", University of Zurich, Zurich, Switzerland
| | - Susan Mérillat
- University Research Priority Program "Dynamics of Healthy Aging", University of Zurich, Zurich, Switzerland
| | - Lutz Jäncke
- University Research Priority Program "Dynamics of Healthy Aging", University of Zurich, Zurich, Switzerland.,Department of Neuropsychology, Psychological Institute, University of Zurich, Zurich, Switzerland
| | - Rachael D Seidler
- Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
| |
Collapse
|
14
|
Tremblay SA, Jäger AT, Huck J, Giacosa C, Beram S, Schneider U, Grahl S, Villringer A, Tardif CL, Bazin PL, Steele CJ, Gauthier CJ. White matter microstructural changes in short-term learning of a continuous visuomotor sequence. Brain Struct Funct 2021; 226:1677-1698. [PMID: 33885965 DOI: 10.1007/s00429-021-02267-y] [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] [Received: 10/04/2020] [Accepted: 03/26/2021] [Indexed: 11/29/2022]
Abstract
Efficient neural transmission is crucial for optimal brain function, yet the plastic potential of white matter (WM) has long been overlooked. Growing evidence now shows that modifications to axons and myelin occur not only as a result of long-term learning, but also after short training periods. Motor sequence learning (MSL), a common paradigm used to study neuroplasticity, occurs in overlapping learning stages and different neural circuits are involved in each stage. However, most studies investigating short-term WM plasticity have used a pre-post design, in which the temporal dynamics of changes across learning stages cannot be assessed. In this study, we used multiple magnetic resonance imaging (MRI) scans at 7 T to investigate changes in WM in a group learning a complex visuomotor sequence (LRN) and in a control group (SMP) performing a simple sequence, for five consecutive days. Consistent with behavioral results, where most improvements occurred between the two first days, structural changes in WM were observed only in the early phase of learning (d1-d2), and in overall learning (d1-d5). In LRNs, WM microstructure was altered in the tracts underlying the primary motor and sensorimotor cortices. Moreover, our structural findings in WM were related to changes in functional connectivity, assessed with resting-state functional MRI data in the same cohort, through analyses in regions of interest (ROIs). Significant changes in WM microstructure were found in a ROI underlying the right supplementary motor area. Together, our findings provide evidence for highly dynamic WM plasticity in the sensorimotor network during short-term MSL.
Collapse
Affiliation(s)
- Stéfanie A Tremblay
- Department of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada.,Montreal Heart Institute, Montreal, QC, Canada
| | - Anna-Thekla Jäger
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Charite Universitätsmedizin, Charite, Berlin, Germany
| | - Julia Huck
- Department of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada
| | - Chiara Giacosa
- Department of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada
| | - Stephanie Beram
- Department of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada
| | - Uta Schneider
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Sophia Grahl
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Clinic for Cognitive Neurology, Leipzig, Germany.,Leipzig University Medical Centre, IFB Adiposity Diseases, Leipzig, Germany.,Collaborative Research Centre 1052-A5, University of Leipzig, Leipzig, Germany
| | - Christine L Tardif
- Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.,Montreal Neurological Institute, Montreal, QC, Canada
| | - Pierre-Louis Bazin
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Faculty of Social and Behavioral Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - Christopher J Steele
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.,Department of Psychology, Concordia University, Montreal, QC, Canada
| | - Claudine J Gauthier
- Department of Physics/PERFORM Center, Concordia University, Montreal, QC, Canada. .,Montreal Heart Institute, Montreal, QC, Canada.
| |
Collapse
|
15
|
Barnstaple R, Protzak J, DeSouza JFX, Gramann K. Mobile brain/body Imaging in dance: A dynamic transdisciplinary field for applied research. Eur J Neurosci 2020; 54:8355-8363. [PMID: 32544262 DOI: 10.1111/ejn.14866] [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] [Received: 03/21/2020] [Revised: 05/18/2020] [Accepted: 06/08/2020] [Indexed: 12/01/2022]
Abstract
Neuroscience of dance is an emerging field with important applications related to health and well-being, as dance has shown potential to foster adaptive neuroplasticity and is increasingly popular as a therapeutic activity or adjunct therapy for people living with conditions such as Parkinson's and Alzheimer's diseases. However, the multimodal nature of dance presents challenges to researchers aiming to identify mechanisms involved when dance is used to combat neurodegeneration or support healthy ageing. Requiring simultaneous engagement of motor and cognitive domains, dancing includes coordination of systems involved in timing, memory and spatial learning. Studies on dance to this point rely primarily on assessments of brain dynamics and structure through pre/post-tests or studies on expertise, as traditional brain imaging modalities restrict participant movement to avoid movement-related artefacts. In this paper, we describe the process of designing and implementing a study that uses mobile brain/body imaging (MoBI) to investigate real-time changes in brain dynamics and behaviour during the process of learning and performing a novel dance choreography. We show the potential for new insights to emerge from the coordinated collection of movement and brain-based data, and the implications of these in an emerging field whose medium is motion.
Collapse
Affiliation(s)
| | - Janna Protzak
- Biological Psychology and Neuroergonomics, TU Berlin, Berlin, Germany
| | - Joseph F X DeSouza
- Centre for Vision Research, Psychology, Biology, Interdisciplinary Graduate Studies, York University, Toronto, ON, Canada
| | - Klaus Gramann
- Biological Psychology and Neuroergonomics, TU Berlin, Berlin, Germany.,School of Computer Science, UTS Sydney, Ultimo, NSW, Australia.,Center for Advanced Neurological Engineering, University of California San Diego, La Jolla, CA, USA
| |
Collapse
|