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Zhao B, Liu Y, Wang Z, Zhang Q, Bai X. Long-Term Bridge Training Induces Functional Plasticity Changes in the Brain of Early-Adult Individuals. Behav Sci (Basel) 2024; 14:469. [PMID: 38920802 PMCID: PMC11200855 DOI: 10.3390/bs14060469] [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: 04/11/2024] [Revised: 05/17/2024] [Accepted: 05/29/2024] [Indexed: 06/27/2024] Open
Abstract
The aim of this study was to investigate the impact of extended bridge expertise on rapid perceptual processing and brain functional plasticity in early adulthood, utilizing functional magnetic resonance imaging (fMRI). In this investigation, we compared 6 high-level college bridge players with 25 college students lacking bridge experience, assessing their intelligence and working memory. Additionally, we scrutinized behavioral performance and whole-brain activation patterns during an image perceptual judgment task. Findings indicated significant group and interaction effects at the behavioral level. Bridge players exhibited prolonged reaction times and enhanced accuracy on card tasks. At the neural level, the activation level of bridge players in the occipital lobe exceeded that of ordinary college students, with more pronounced group effects in the motor area and inferior parietal lobule during card tasks. This implies that bridge expertise in early adulthood induces functional plasticity changes in regions associated with visual processing and automated mathematical computation.
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Affiliation(s)
- Bingjie Zhao
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
| | - Yan Liu
- Institute of Sports Science, Tianjin Normal University, Tianjin 300387, China
| | - Zheng Wang
- Inner Mongolia Mental Health Center, Brain Hospital of Inner Mongolia Autonomous Region, Hohhot 010000, China
- School of Psychology, Inner Mongolia Normal University, Hohhot 010000, China
| | - Qihan Zhang
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
| | - Xuejun Bai
- Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China
- Faculty of Psychology, Tianjin Normal University, Tianjin 300387, China
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2
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Giustiniani A, Quartarone A. Defining the concept of reserve in the motor domain: a systematic review. Front Neurosci 2024; 18:1403065. [PMID: 38745935 PMCID: PMC11091373 DOI: 10.3389/fnins.2024.1403065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 04/08/2024] [Indexed: 05/16/2024] Open
Abstract
A reserve in the motor domain may underlie the capacity exhibited by some patients to maintain motor functionality in the face of a certain level of disease. This form of "motor reserve" (MR) could include cortical, cerebellar, and muscular processes. However, a systematic definition has not been provided yet. Clarifying this concept in healthy individuals and patients would be crucial for implementing prevention strategies and rehabilitation protocols. Due to its wide application in the assessment of motor system functioning, non-invasive brain stimulation (NIBS) may support such definition. Here, studies focusing on reserve in the motor domain and studies using NIBS were revised. Current literature highlights the ability of the motor system to create a reserve and a possible role for NIBS. MR could include several mechanisms occurring in the brain, cerebellum, and muscles, and NIBS may support the understanding of such mechanisms.
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3
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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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4
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Friedberg A, Pasquini L, Diggs R, Glaubitz EA, Lopez L, Illán-Gala I, Iaccarino L, La Joie R, Mundada N, Knudtson M, Neylan K, Brown J, Allen IE, Rankin KP, Bonham LW, Yokoyama JS, Ramos EM, Geschwind DH, Spina S, Grinberg LT, Miller ZA, Kramer JH, Rosen H, Gorno-Tempini ML, Rabinovici G, Seeley WW, Miller BL. Prevalence, Timing, and Network Localization of Emergent Visual Creativity in Frontotemporal Dementia. JAMA Neurol 2023; 80:377-387. [PMID: 36848111 PMCID: PMC9972248 DOI: 10.1001/jamaneurol.2023.0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 10/28/2022] [Indexed: 03/01/2023]
Abstract
Importance The neurological substrates of visual artistic creativity (VAC) are unknown. VAC is demonstrated here to occur early in frontotemporal dementia (FTD), and multimodal neuroimaging is used to generate a novel mechanistic hypothesis involving dorsomedial occipital cortex enhancement. These findings may illuminate a novel mechanism underlying human visual creativity. Objective To determine the anatomical and physiological underpinnings of VAC in FTD. Design, Setting, and Participants This case-control study analyzed records of 689 patients who met research criteria for an FTD spectrum disorder between 2002 and 2019. Individuals with FTD and emergence of visual artistic creativity (VAC-FTD) were matched to 2 control groups based on demographic and clinical parameters: (1) not visually artistic FTD (NVA-FTD) and (2) healthy controls (HC). Analysis took place between September 2019 to December 2021. Main Outcomes and Measures Clinical, neuropsychological, genetic, and neuroimaging data were analyzed to characterize VAC-FTD and compare VAC-FTD with control groups. Results Of 689 patients with FTD, 17 (2.5%) met VAC-FTD inclusion criteria (mean [SD] age, 65 [9.7] years; 10 [58.8%] female). NVA-FTD (n = 51; mean [SD] age, 64.8 [7] years; 25 [49.0%] female) and HC (n = 51; mean [SD] age, 64.5 [7.2] years; 25 [49%] female) groups were well matched to VAC-FTD demographically. Emergence of VAC occurred around the time of onset of symptoms and was disproportionately seen in patients with temporal lobe predominant degeneration (8 of 17 [47.1%]). Atrophy network mapping identified a dorsomedial occipital region whose activity inversely correlated, in healthy brains, with activity in regions found within the patient-specific atrophy patterns in VAC-FTD (17 of 17) and NVA-FTD (45 of 51 [88.2%]). Structural covariance analysis revealed that the volume of this dorsal occipital region was strongly correlated in VAC-FTD, but not in NVA-FTD or HC, with a volume in the primary motor cortex corresponding to the right-hand representation. Conclusions and Relevance This study generated a novel hypothesis about the mechanisms underlying the emergence of VAC in FTD. These findings suggest that early lesion-induced activation of dorsal visual association areas may predispose some patients to the emergence of VAC under certain environmental or genetic conditions. This work sets the stage for further exploration of enhanced capacities arising early in the course of neurodegeneration.
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Affiliation(s)
- Adit Friedberg
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Global Brain Health Institute, University of California, San Francisco, and Trinity College Dublin, Dublin, Ireland
| | - Lorenzo Pasquini
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Neuroscape, University of California, San Francisco
| | - Ryan Diggs
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Erika A. Glaubitz
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Lucia Lopez
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Ignacio Illán-Gala
- Global Brain Health Institute, University of California, San Francisco, and Trinity College Dublin, Dublin, Ireland
- Sant Pau Memory Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau, Biomedical Research Institute Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Leonardo Iaccarino
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- now with Eli Lilly and Company, Philadelphia, Pennsylvania
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Nidhi Mundada
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Marguerite Knudtson
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Kyra Neylan
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Jesse Brown
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Isabel Elaine Allen
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Global Brain Health Institute, University of California, San Francisco, and Trinity College Dublin, Dublin, Ireland
| | - Katherine P. Rankin
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Global Brain Health Institute, University of California, San Francisco, and Trinity College Dublin, Dublin, Ireland
| | - Luke W. Bonham
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Jennifer S. Yokoyama
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Eliana M. Ramos
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles
| | - Daniel H. Geschwind
- Program in Neurogenetics, Center for Autism Research and Treatment Semel Institute for Neuroscience and Human Behavior, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles
- Institute for Precision Health, University of California, Los Angeles
| | - Salvatore Spina
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Lea T. Grinberg
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Department of Pathology, University of California, San Francisco
| | - Zachary A. Miller
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Joel H. Kramer
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Howard Rosen
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Maria Luisa Gorno-Tempini
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
| | - Gil Rabinovici
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Associate Editor, JAMA Neurology
| | - William W. Seeley
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Department of Pathology, University of California, San Francisco
| | - Bruce L. Miller
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco
- Global Brain Health Institute, University of California, San Francisco, and Trinity College Dublin, Dublin, Ireland
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5
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Zaretskaya N, Fink E, Arsenovic A, Ischebeck A. Fast and functionally specific cortical thickness changes induced by visual stimulation. Cereb Cortex 2023; 33:2823-2837. [PMID: 35780393 DOI: 10.1093/cercor/bhac244] [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: 02/25/2022] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 11/13/2022] Open
Abstract
Structural characteristics of the human brain serve as important markers of brain development, aging, disease progression, and neural plasticity. They are considered stable properties, changing slowly over time. Multiple recent studies reported that structural brain changes measured with magnetic resonance imaging (MRI) may occur much faster than previously thought, within hours or even minutes. The mechanisms behind such fast changes remain unclear, with hemodynamics as one possible explanation. Here we investigated the functional specificity of cortical thickness changes induced by a flickering checkerboard and compared them to blood oxygenation level-dependent (BOLD) functional MRI activity. We found that checkerboard stimulation led to a significant thickness increase, which was driven by an expansion at the gray-white matter boundary, functionally specific to V1, confined to the retinotopic representation of the checkerboard stimulus, and amounted to 1.3% or 0.022 mm. Although functional specificity and the effect size of these changes were comparable to those of the BOLD signal in V1, thickness effects were substantially weaker in V3. Furthermore, a comparison of predicted and measured thickness changes for different stimulus timings suggested a slow increase of thickness over time, speaking against a hemodynamic explanation. Altogether, our findings suggest that visual stimulation can induce structural gray matter enlargement measurable with MRI.
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Affiliation(s)
- Natalia Zaretskaya
- Department of Cognitive Psychology and Neuroscience, Institute of Psychology, University of Graz, Universitaetsplatz 2, 8010 Graz, Austria
- BioTechMed-Graz, Mozartgasse 12, 8010 Graz, Austria
| | - Erik Fink
- Department of Cognitive Psychology and Neuroscience, Institute of Psychology, University of Graz, Universitaetsplatz 2, 8010 Graz, Austria
| | - Ana Arsenovic
- Department of Cognitive Psychology and Neuroscience, Institute of Psychology, University of Graz, Universitaetsplatz 2, 8010 Graz, Austria
- BioTechMed-Graz, Mozartgasse 12, 8010 Graz, Austria
| | - Anja Ischebeck
- Department of Cognitive Psychology and Neuroscience, Institute of Psychology, University of Graz, Universitaetsplatz 2, 8010 Graz, Austria
- BioTechMed-Graz, Mozartgasse 12, 8010 Graz, Austria
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6
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Amoruso L, Pusil S, García AM, Ibañez A. Decoding motor expertise from fine-tuned oscillatory network organization. Hum Brain Mapp 2022; 43:2817-2832. [PMID: 35274804 PMCID: PMC9120567 DOI: 10.1002/hbm.25818] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 01/26/2022] [Accepted: 02/15/2022] [Indexed: 01/21/2023] Open
Abstract
Can motor expertise be robustly predicted by the organization of frequency-specific oscillatory brain networks? To answer this question, we recorded high-density electroencephalography (EEG) in expert Tango dancers and naïves while viewing and judging the correctness of Tango-specific movements and during resting. We calculated task-related and resting-state connectivity at different frequency-bands capturing task performance (delta [δ], 1.5-4 Hz), error monitoring (theta [θ], 4-8 Hz), and sensorimotor experience (mu [μ], 8-13 Hz), and derived topographical features using graph analysis. These features, together with canonical expertise measures (i.e., performance in action discrimination, time spent dancing Tango), were fed into a data-driven computational learning analysis to test whether behavioral and brain signatures robustly classified individuals depending on their expertise level. Unsurprisingly, behavioral measures showed optimal classification (100%) between dancers and naïves. When considering brain models, the task-based classification performed well (~73%), with maximal discrimination afforded by theta-band connectivity, a hallmark signature of error processing. Interestingly, mu connectivity during rest outperformed (100%) the task-based approach, matching the optimal classification of behavioral measures and thus emerging as a potential trait-like marker of sensorimotor network tuning by intense training. Overall, our findings underscore the power of fine-tuned oscillatory network signatures for capturing expertise-related differences and their potential value in the neuroprognosis of learning outcomes.
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Affiliation(s)
- Lucia Amoruso
- Basque Center on Cognition, Brain and Language (BCBL), San Sebastian, Spain.,IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Sandra Pusil
- Department of Experimental Psychology, Complutense University of Madrid, Madrid, Spain
| | - Adolfo Martín García
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.,Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina.,National University of Cuyo (UNCuyo), Mendoza, Argentina.,Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile.,Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, California, USA.,Trinity College Dublin (TCD), Dublin, Ireland
| | - Agustín Ibañez
- National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina.,Cognitive Neuroscience Center (CNC), Universidad de San Andrés, Buenos Aires, Argentina.,Global Brain Health Institute (GBHI), University of California San Francisco (UCSF), San Francisco, California, USA.,Trinity College Dublin (TCD), Dublin, Ireland.,Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
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7
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Korzeczek A, Primaßin A, Wolff von Gudenberg A, Dechent P, Paulus W, Sommer M, Neef NE. Fluency shaping increases integration of the command-to-execution and the auditory-to-motor pathways in persistent developmental stuttering. Neuroimage 2021; 245:118736. [PMID: 34798230 DOI: 10.1016/j.neuroimage.2021.118736] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 10/10/2021] [Accepted: 11/15/2021] [Indexed: 10/19/2022] Open
Abstract
Fluency-shaping enhances the speech fluency of persons who stutter, yet underlying conditions and neuroplasticity-related mechanisms are largely unknown. While speech production-related brain activity in stuttering is well studied, it is unclear whether therapy repairs networks of altered sensorimotor integration, imprecise neural timing and sequencing, faulty error monitoring, or insufficient speech planning. Here, we tested the impact of one-year fluency-shaping therapy on resting-state fMRI connectivity within sets of brain regions subserving these speech functions. We analyzed resting-state data of 22 patients who participated in a fluency-shaping program, 18 patients not participating in therapy, and 28 fluent control participants, measured one year apart. Improved fluency was accompanied by an increased connectivity within the sensorimotor integration network. Specifically, two connections were strengthened; the left inferior frontal gyrus showed increased connectivity with the precentral gyrus at the representation of the left laryngeal motor cortex, and the left inferior frontal gyrus showed increased connectivity with the right superior temporal gyrus. Thus, therapy-associated neural remediation was based on a strengthened integration of the command-to-execution pathway together with an increased auditory-to-motor coupling. Since we investigated task-free brain activity, we assume that our findings are not biased to network activity involved in compensation but represent long-term focal neuroplasticity effects.
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Affiliation(s)
- Alexandra Korzeczek
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany.
| | - Annika Primaßin
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany; FH Münster University of Applied Sciences, Münster School of Health (MSH), Münster, Germany.
| | | | - Peter Dechent
- Department of Cognitive Neurology, MR Research in Neurosciences, University Medical Center Göttingen, Göttingen, Germany.
| | - Walter Paulus
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany.
| | - Martin Sommer
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany; Department of Neurology, University Medical Center Göttingen, Germany; Department of Geriatrics, University Medical Center Göttingen, Germany.
| | - Nicole E Neef
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany; Department of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Germany.
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8
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Fernandes T, Araújo S. From Hand to Eye With the Devil In-Between: Which Cognitive Mechanisms Underpin the Benefit From Handwriting Training When Learning Visual Graphs? Front Psychol 2021; 12:736507. [PMID: 34777123 PMCID: PMC8578702 DOI: 10.3389/fpsyg.2021.736507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 10/06/2021] [Indexed: 11/28/2022] Open
Abstract
Cognitive science has recently shown a renewed interest on the benefit from training in handwriting (HW) when learning visual graphs, given that this learning experience improves more subsequent visual graph recognition than other forms of training. However, the underlying cognitive mechanism of this HW benefit has been elusive. Building on the 50 years of research on this topic, the present work outlines a theoretical approach to study this mechanism, specifying testable hypotheses that will allow distinguishing between confronting perspectives, i.e., symbolic accounts that hold that perceptual learning and visual analysis underpin the benefit from HW training vs. embodied sensorimotor accounts that argue for motoric representations as inner part of orthographic representations acquired via HW training. From the evidence critically revisited, we concluded that symbolic accounts are parsimonious and could better explain the benefit from HW training when learning visual graphs. The future challenge will be to put at test the detailed predictions presented here, so that the devil has no longer room in this equation.
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Affiliation(s)
- Tânia Fernandes
- Faculdade de Psicologia, Universidade de Lisboa, Lisbon, Portugal
| | - Susana Araújo
- Faculdade de Psicologia, Universidade de Lisboa, Lisbon, Portugal
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9
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Dan B. Intensive repetitive motor training: how does it work in children with cerebral palsy? Dev Med Child Neurol 2021; 63:1008. [PMID: 34415626 DOI: 10.1111/dmcn.14970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/28/2021] [Indexed: 11/29/2022]
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10
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Corsi MC, Chavez M, Schwartz D, George N, Hugueville L, Kahn AE, Dupont S, Bassett DS, De Vico Fallani F. BCI learning induces core-periphery reorganization in M/EEG multiplex brain networks. J Neural Eng 2021; 18. [PMID: 33725682 DOI: 10.1088/1741-2552/abef39] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 03/16/2021] [Indexed: 11/11/2022]
Abstract
Brain-computer interfaces (BCIs) constitute a promising tool for communication and control. However, mastering non-invasive closed-loop systems remains a learned skill that is difficult to develop for a non-negligible proportion of users. The involved learning process induces neural changes associated with a brain network reorganization that remains poorly understood. To address this inter-subject variability, we adopted a multilayer approach to integrate brain network properties from electroencephalographic (EEG) and magnetoencephalographic (MEG) data resulting from a four-session BCI training program followed by a group of healthy subjects. Our method gives access to the contribution of each layer to multilayer network that tends to be equal with time. We show that regardless the chosen modality, a progressive increase in the integration of somatosensory areas in the α band was paralleled by a decrease of the integration of visual processing and working memory areas in the β band. Notably, only brain network properties in multilayer network correlated with future BCI scores in the α2 band: positively in somatosensory and decision-making related areas and negatively in associative areas. Our findings cast new light on neural processes underlying BCI training. Integrating multimodal brain network properties provides new information that correlates with behavioral performance and could be considered as a potential marker of BCI learning.
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Affiliation(s)
| | - Mario Chavez
- UMR-7225, CNRS, 47, boulevard de l'Hôpital, Paris, 75013, FRANCE
| | - Denis Schwartz
- INSERM, 47, boulevard de l'Hôpital, Paris, Île-de-France, 75013, FRANCE
| | - Nathalie George
- UMR-7225, CNRS, 47, boulevard de l'Hôpital, Paris, Île-de-France, 75013, FRANCE
| | - Laurent Hugueville
- Institut du Cerveau et de la Moelle Epiniere, 47, boulevard de l'Hôpital, Paris, Île-de-France, 75013, FRANCE
| | - Ari E Kahn
- Department of Neuroscience, University of Pennsylvania, 210 S. 33rd Street 240 Skirkanich Hall, Philadelphia, Pennsylvania, 19104-6321, UNITED STATES
| | - Sophie Dupont
- Institut du Cerveau et de la Moelle Epiniere, 47, boulevard de l'Hôpital, Paris, Île-de-France, 75013, FRANCE
| | - Danielle S Bassett
- Department of Bioengineering, University of Pennsylvania, 210 S. 33rd Street 240 Skirkanich Hall, USA, Philadelphia, Pennsylvania, 19104-6321, UNITED STATES
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11
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Mental Fatigue and Sport-Specific Psychomotor Performance: A Systematic Review. Sports Med 2021; 51:1527-1548. [PMID: 33710524 DOI: 10.1007/s40279-021-01429-6] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/27/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Mental fatigue (MF) is a psychobiological state that impairs endurance performance in healthy athletes. Recently, multiple studies indicated that MF could also impair sport-specific psychomotor performance (SSPP). Nevertheless, a systematic overview detailing the effects of MF on SSPP is currently lacking. OBJECTIVE The objective of this study is to collate relevant literature and examine the effect of MF on SSPP. A secondary aim was to create an overview of the potential subjective and physiological factors underlying this MF effect. METHODS PubMed (MEDLINE), Web of Science, PsycINFO and SPORTDiscus were searched (5th of November 2020). Studies were eligible when study outcomes encompassed any form of SSPP skill in a sport-specific context, the intervention was targeted to induce MF, and the population included healthy individuals. The presence of a manipulation check, to indicate the successful induction of MF, was obligatory for inclusion. Secondary outcomes were all outcomes (either physiological or psychological) that could explain the underlying mechanisms of the effect of MF on SSPP. RESULTS In total, 21 papers were included. MF was successfully induced in all but two studies, which were excluded from further analysis. MF negatively impacts a myriad of SSPP outcomes, including decision-making, reaction time and accuracy outcomes. No changes in physiological outcomes, that could underlie the effect of MF, were reported. Subjectively, only ratings of perceived of exertion increased due to MF in some studies. CONCLUSIONS Overall, the selected papers indicated that MF negatively affects SSPP. Research that assesses brain function, while evaluating the effect of MF on SSPP is essential to create further insight.
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