Frontiers in Human Neuroscience最新文献

{"title":"Point-SPV: end-to-end enhancement of object recognition in simulated prosthetic vision using synthetic viewing points.","authors":"Ashkan Nejad, Burcu Küçükoǧlu, Jaap de Ruyter van Steveninck, Sandra Bedrossian, Joost Heutink, Gera A de Haan, Frans W Cornelissen, Marcel van Gerven","doi":"10.3389/fnhum.2025.1549698","DOIUrl":"10.3389/fnhum.2025.1549698","url":null,"abstract":"<p><p>Prosthetic vision systems aim to restore functional sight for visually impaired individuals by replicating visual perception by inducing phosphenes through electrical stimulation in the visual cortex, yet there remain challenges in visual representation strategies such as including gaze information and task-dependent optimization. In this paper, we introduce Point-SPV, an end-to-end deep learning model designed to enhance object recognition in simulated prosthetic vision. Point-SPV takes an initial step toward gaze-based optimization by simulating viewing points, representing potential gaze locations, and training the model on patches surrounding these points. Our approach prioritizes task-oriented representation, aligning visual outputs with object recognition needs. A behavioral gaze-contingent object discrimination experiment demonstrated that Point-SPV outperformed a conventional edge detection method, by facilitating observers to gain a higher recognition accuracy, faster reaction times, and a more efficient visual exploration. Our work highlights how task-specific optimization may enhance representations in prosthetic vision, offering a foundation for future exploration and application.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1549698"},"PeriodicalIF":2.4,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11973266/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143802975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging.","authors":"Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P Pande, Monali Gulhane, Santosh H Lavate, Nitin Rakesh, Saravanan Veerasamy","doi":"10.3389/fnhum.2025.1552178","DOIUrl":"10.3389/fnhum.2025.1552178","url":null,"abstract":"<p><strong>Introduction: </strong>Combining many types of imaging data-especially structural MRI (sMRI) and functional MRI (fMRI)-may greatly assist in the diagnosis and treatment of brain disorders like Alzheimer's. Current approaches are less helpful for forecasting, however, as they do not always blend spatial and temporal patterns from different sources properly. This work presents a novel mixed deep learning (DL) method combining data from many sources using CNN, GRU, and attention techniques. This work introduces a novel hybrid deep learning method combining CNN, GRU, and a Dynamic Cross-Modality Attention Module to help more efficiently blend spatial and temporal brain data. Through working around issues with current multimodal fusion techniques, our approach increases the accuracy and readability of diagnoses.</p><p><strong>Methods: </strong>Utilizing CNNs and models of temporal dynamics from fMRI connection measures utilizing GRUs, the proposed approach extracts spatial characteristics from sMRI. Strong multimodal integration is made possible by including an attention mechanism to give diagnostically important features top priority. Training and evaluation of the model took place using the Human Connectome Project (HCP) dataset including behavioral data, fMRI, and sMRI. Measures include accuracy, recall, precision and F1-score used to evaluate performance.</p><p><strong>Results: </strong>It was correct 96.79% of the time using the combined structure. Regarding the identification of brain disorders, the proposed model was more successful than existing ones.</p><p><strong>Discussion: </strong>These findings indicate that the hybrid strategy makes sense for using complimentary information from several kinds of photos. Attention to detail helped one choose which aspects to concentrate on, thereby enhancing the readability and diagnostic accuracy.</p><p><strong>Conclusion: </strong>The proposed method offers a fresh benchmark for multimodal neuroimaging analysis and has great potential for use in real-world brain assessment and prediction. Researchers will investigate future applications of this technique to new picture kinds and clinical data.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1552178"},"PeriodicalIF":2.4,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11968424/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143795117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive abilities and psychosocial functioning in bipolar disorder: findings from the BIPLONG study.","authors":"Elena M D Schönthaler, Nina Dalkner, Tatjana Stross, Susanne Bengesser, Julia Ilic, Frederike Fellendorf, Alexander Finner, Eva Fleischmann, Alfred Häussl, Johanna Georgi, Alexander Maget, Melanie Lenger, Annamaria Painold, Martina Platzer, Robert Queissner, Franziska Schmiedhofer, Stefan Smolle, Adelina Tmava-Berisha, Eva Z Reininghaus","doi":"10.3389/fnhum.2025.1479648","DOIUrl":"10.3389/fnhum.2025.1479648","url":null,"abstract":"<p><strong>Background: </strong>Bipolar disorder is associated with impairments in cognition and psychosocial functioning. Although these impairments occur frequently, often persist during euthymic times, and worsen quality of life, the impact of cognitive abilities on functioning has not yet been fully elucidated.</p><p><strong>Methods: </strong>The current study investigated the effects of cognitive domains (attention/psychomotor speed, verbal learning/memory, executive function) on psychosocial functioning cross-sectionally. Data from 210 euthymic individuals with bipolar disorder [101 female, 109 male; <i>M</i> _(age) = 44.47; <i>SD</i> _(age) = 14.25] were included into the analysis. A neurocognitive test battery was administered and the Global Assessment of Functioning was used to depict psychosocial functioning. Correlation analyses were conducted to observe the associations between functioning and the cognitive domains. Moreover, three hierarchical regression analyses were applied to predict functioning by each of the cognitive domains, while considering age, sex, and education as control variables.</p><p><strong>Results: </strong>Correlation analyses revealed that functioning was positively associated with attention/psychomotor speed and verbal learning/memory. However, the consecutive hierarchical regression analyses found that none of the cognitive domains were able predict functioning beyond the control variables age, sex, and education.</p><p><strong>Conclusion: </strong>Our findings indicate that greater abilities in the domains of attention/psychomotor speed and verbal learning/memory are associated with better functioning. However, this association can be explained by other relevant variables such as age or education, indicating that cognitive abilities are not the sole contributor of psychosocial functioning. Investigating other measurements of functioning or cognitive abilities could lead to different results. Nevertheless, promoting cognitive abilities and autonomy in daily life remains an important aspect of therapy in bipolar disorder.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1479648"},"PeriodicalIF":2.4,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11966616/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143779864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An EEG-based analysis of the effects of different music genres on driving stress.","authors":"Yilun Li, Yan Li, Bangbei Tang, Qizong Yue, Bingjie Luo, Mingxin Zhu","doi":"10.3389/fnhum.2025.1560920","DOIUrl":"10.3389/fnhum.2025.1560920","url":null,"abstract":"<p><strong>Introduction: </strong>Sudden road conditions can trigger drivers' psychological stress, increasing the risk of traffic accidents. Music, as an emotion regulation tool, effectively alleviates stress and enhances psychological health. However, the effects of different genres of music on drivers' stress remain understudied.</p><p><strong>Methods: </strong>To address this, the present study collected 120 EEG recordings from 60 drivers in a standardized simulated driving environment and developed a classification model based on EEG signals to recognize emotions. By integrating time-frequency domain features (mean, variance, skewness, kurtosis, and power spectral density) with classification algorithms, the model accurately identified slight, moderate, and severe stress states in drivers, achieving an accuracy of 90%.</p><p><strong>Results: </strong>Furthermore, the study evaluated the intervention effects of four types of music (joyful, sorrowful, exhilarating, and gentle) on stress using EEG signals and subjective stress ratings. The results showed that gentle music had the best stress-relieving effect in both slight and severe stress states, reducing stress by 41.67% and 45%, respectively, whereas joyful music was most effective in relieving moderate stress, reducing moderate stress by 50%. In contrast, exhilarating and sorrowful music had weaker effects. Additionally, the asymmetry of frontal pole EEG signals was found to be significantly negatively correlated with stress levels.</p><p><strong>Discussion: </strong>This finding further supports the accuracy of the emotion recognition model and the potential effectiveness of the music intervention strategy. The study demonstrates that personalized music intervention strategies can help alleviate drivers' stress, thereby improving psychological health, enhancing driving safety, and increasing driving comfort.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1560920"},"PeriodicalIF":2.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961950/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143772123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Knowledge domain and trends in acupuncture for stroke research based on bibliometric analysis.","authors":"Hongdong Hao, Yifang Xing, Jiashu Chen, Haijun Wang, Aiai Dong, Hai-Xin Liu","doi":"10.3389/fnhum.2025.1544812","DOIUrl":"10.3389/fnhum.2025.1544812","url":null,"abstract":"<p><p>This bibliometric analysis comprehensively investigates the literature on acupuncture for stroke rehabilitation, aiming to identify key research hotspots, map the underlying knowledge structure, and examine developmental trends. The central hypothesis posits that acupuncture plays a pivotal role in enhancing neurological and motor function recovery in stroke patients, particularly when combined with complementary therapeutic modalities. A total of 2,217 relevant publications, spanning from database inception through 2024, were selected following stringent data screening and cleaning protocols. Utilizing advanced bibliometric tools such as CiteSpace and VOSviewer, we analyzed publication trends, leading authors, influential institutions, and citation networks. Our findings reveal a consistent and significant increase in research activity, with China emerging as the predominant contributor to this field. The analysis strongly emphasizes neurological recovery, motor function improvement, language rehabilitation, and the integration of acupuncture with other therapeutic strategies. Prominent keywords, including \"acupuncture treatment,\" \"scalp acupuncture,\" \"electroacupuncture,\" and \"rehabilitation therapy,\" reflect the evolving priorities within this domain. This study provides valuable evidence-based insights to guide future research on acupuncture for stroke rehabilitation, offering a solid framework for experimental investigations. By delineating the knowledge landscape, it contributes to refining research hypotheses and optimizing the clinical application of acupuncture in stroke recovery.</p><p><strong>Systematic review registration: </strong>https://inplasy.com/, INPLASY202530038.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1544812"},"PeriodicalIF":2.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11962014/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143772127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human induced pluripotent stem cell models for Alzheimer's disease research: a bibliometric analysis.","authors":"Yuning Sun, Zhilong Liu, Zongbo Zhang, Yufeng Kang, Xinlian Wang, Yiping Zhang, Yan Liu, Pei Zhao","doi":"10.3389/fnhum.2025.1548701","DOIUrl":"10.3389/fnhum.2025.1548701","url":null,"abstract":"<p><strong>Introduction: </strong>Alzheimer's disease (AD), the leading cause of dementia, remains without adequate treatment. Current models do not fully replicate human physiology and pathology. The advent of human induced pluripotent stem cell (hiPSC) technology offers a novel approach to studying AD.</p><p><strong>Methods: </strong>Our study conducted a bibliometric analysis to assess the application and development of hiPSC technology in AD research. We retrieved 531 articles on hiPSC models of AD from the Web of Science Core Collection, published between January 2010 and June 2024. CiteSpace and VOSviewer were used to analyze authorship, geographic contributions, journal influence, and citation patterns.</p><p><strong>Results: </strong>Our findings reveal a steady increase in publications over 14 years, with the United States leading in contributions, followed by China. Li-Huei Tsai from the Massachusetts Institute of Technology is a prominent researcher. <i>PLoS One</i> emerges as the most influential journal. Research trends have focused on inflammation, astrocytes, microglia, apolipoprotein E (ApoE), and tau.</p><p><strong>Discussion: </strong>Bibliometric analysis is crucial in identifying research gaps and trends and guiding future studies to address unmet needs in understanding and modeling human physiology and pathology. Leveraging hiPSC models to investigate the molecular mechanisms of familial and sporadic AD is expected to provide a crucial foundation for developing future treatment strategies.</p><p><strong>Conclusion: </strong>In summary, the bibliometric findings from this study provide a comprehensive overview of the current research landscape in hiPSC models for AD. It also highlights emerging trends and research gaps, crucial for guiding future research efforts, particularly in exploring novel therapeutic targets and improving understanding of disease mechanisms.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1548701"},"PeriodicalIF":2.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11962003/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143772125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The ConNECT approach: toward a comprehensive understanding of meaningful interpersonal moments in psychotherapy and beyond.","authors":"Niclas Kaiser, Juan Camilo Avendano-Diaz","doi":"10.3389/fnhum.2025.1549203","DOIUrl":"10.3389/fnhum.2025.1549203","url":null,"abstract":"<p><p>Relational neuroscience struggles to capture the complex dynamics of shared interpersonal moments, leading to gaps in understanding whether and how interdependencies between interacting persons translate into something meaningful. Current neuroscientific research often focuses on motor synchronization and cognition rather than the implicit relational qualities central to psychotherapy. We argue that this disconnect stems from an over-reliance on simplified quantitative methods, a failure to centralize experiential factors, and the lack of Convergence research. Drawing on emerging frameworks such as 4E cognition (embodied, enacted, extended, and embedded) and MoBI (Mobile Brain/Body Imaging), we advocate for integrating subjective and experiential elements with neural data. We propose focusing on \"qualities\" in multi-brain neuroscience-moving beyond binary or linear scales-to better capture the subtleties of relational moments. Finally, we emphasize the importance of convergence research across disciplines to better understand what interpresence holds. If psychotherapeutic knowledge is used to guide neuroscientists in what to look for, this multi-disciplinary approach holds promise for advancing the study of psychotherapy's relational processes, offering new insights into the neurobiology of meaningful moments in therapy and elsewhere. We propose ConNECT (Convergence research including Neuroscience and Experiences, Capturing meaningful dynamics with Therapists' knowledge) as the path forward.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1549203"},"PeriodicalIF":2.4,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11961974/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143772129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the effects of construction industry noise on workers' cognitive performance and learning efficiency.","authors":"Xinying Cao, Yian Lu, Decheng Zheng, Peicheng Qin","doi":"10.3389/fnhum.2025.1549824","DOIUrl":"10.3389/fnhum.2025.1549824","url":null,"abstract":"<p><p>Despite growing industrialization, the cognitive and psychological impacts of construction noise on workers remain inadequately addressed in empirical research. This study examines the impact of different noise types and intensities on the cognitive performance and learning efficiency of construction workers, using electroencephalogram (EEG) and behavioral data. Specifically, it analyzes the effects of complex noise and steady noise on workers' attention, mental workload, mental fatigue, and mental stress. The results indicate that complex noise significantly reduces learning efficiency, notably impairing accuracy and reaction time relative to steady noise. This adverse effect is attributed to the unpredictability and variability of complex noise, which disrupts workers' cognitive processing and heightens mental fatigue. In contrast, although steady noise does not significantly impact mental workload, it induces greater mental fatigue and mental stress than complex noise, especially at high noise levels. The findings also reveal that workers develop some level of adaptation to continuous noise, mitigating its overall impact on learning efficiency. However, elevated noise levels, regardless of type, consistently lead to significant declines in attention and increases in mental stress and mental fatigue. This research makes an original contribution by providing evidence-based insights into the interaction between noise characteristics and worker cognition, offering practical implications for targeted noise management strategies to improve learning efficiency and well-being in construction environments.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1549824"},"PeriodicalIF":2.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955606/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive factors on the performance of group decision-making: a behavioral and eye-tracking study.","authors":"Cheng Kexin, Jiang Zuhua, Yang Jiapeng","doi":"10.3389/fnhum.2025.1551447","DOIUrl":"10.3389/fnhum.2025.1551447","url":null,"abstract":"<p><strong>Introduction: </strong>To foster innovation and optimization in engineering product design, it is crucial for engineering professionals to effectively integrate knowledge and make informed decisions within interdisciplinary collaborative environments. Understanding the factors that influence group decision-making performance can enhance communication and knowledge integration among experts from diverse disciplinary backgrounds. By analyzing decision-makers' attention allocation and information processing at the cognitive level, the innovation and practicality of solutions can be significantly improved. However, the complexity and multitude of factors affecting decision-making performance pose challenges, particularly due to the lack of quantitative research and unified metrics at both group and cognitive levels. This gap hinders the quality and efficiency of engineering group decisions.</p><p><strong>Methods: </strong>This study introduces an eye-tracking method to investigate interdisciplinary group decision-making in engineering design, leveraging group decision-making performance theory and eye-tracking technology. Experiments were conducted in the context of Chinese cruise ship cabin design. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), a quantitative model was developed to assess the impact of visual attention on group decision performance.</p><p><strong>Results: </strong>The results demonstrate that group average gaze duration and group average number of gazes directly influence group decision-maker satisfaction and decision acceptability. Furthermore, these factors indirectly affect interdisciplinary group decision-making performance by impacting group decision quality.</p><p><strong>Discussion: </strong>The findings provide a foundation for developing effective interdisciplinary group decision support systems, enhancing cognitive performance, and offering new methodological insights for future engineering design decisions. This research contributes to bridging the gap in quantitative assessment of group decision-making performance, paving the way for improved decision quality and efficiency in engineering contexts.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1551447"},"PeriodicalIF":2.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955611/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of body image on the kinematics of gait initiation.","authors":"Kyosuke Oku, Shinsuke Tanaka, Yukiko Nishizaki, Chie Fukada, Noriyuki Kida","doi":"10.3389/fnhum.2025.1560138","DOIUrl":"10.3389/fnhum.2025.1560138","url":null,"abstract":"<p><p>In daily life, we walk naturally by considering our physical characteristics and formulating appropriate motor plans. However, the impact of changes in body image on walking movements during motor planning remains poorly understood. Therefore, in this study, we examined changes in walking behavior under different conditions where body image was altered. We included 26 participants (13 men and 13 women, aged 18.27 ± 0.52) who performed walking movements under five conditions: eyes open, eyes covered, eyes covered while imagining their bodies becoming larger, eyes covered without imagining altered body size, and eyes open again. As a result, under the condition where participants imagined their bodies becoming larger, their step length, step completion time, and foot lift height increased. To generate a torque larger than the actual body size, the participants made a motor planning with a larger body image, resulting in an increase in step length. Since these results are attributed to the disparity between actual body size and body image, which affects motor planning, our findings have potential applications in rehabilitation and sports coaching settings.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1560138"},"PeriodicalIF":2.4,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11955709/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}