Frontiers in Human Neuroscience最新文献

{"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}

{"title":"Precuneus activation correlates with the vividness of dynamic and static imagery: an fMRI study.","authors":"Suna Duan, Qingfeng Li, Junjie Yang, Qing Yang, Enran Li, Yuting Liu, Lijuan Jiang, Chunbo Li, Binglei Zhao","doi":"10.3389/fnhum.2025.1516058","DOIUrl":"10.3389/fnhum.2025.1516058","url":null,"abstract":"<p><strong>Introduction: </strong>Visual mental imagery (VMI) is a cognitive function that significantly impacts various aspects of daily life. However, the neural correlates of VMI vividness remain unclear, especially underlying different VMI types. Therefore, the current functional magnetic resonance imaging (fMRI) study aimed to investigate the neural mechanisms underlying static (SI) and dynamic VMI (DI), focusing on the role of precuneus especially in the imagery vividness.</p><p><strong>Methods: </strong>The study involved 24 participants recruited from ShanghaiTech University. After excluding four participants due to excessive movements, data from 20 participants were analyzed. Each participant completed the Chinese version of the Vividness of Visual Imagery Questionnaire (VVIQ) to assess their imagery vividness abilities. During fMRI scanning, participants were asked to imagine SI and DI scenarios in response to auditory stimuli. High-resolution fMRI data were acquired using a 3T scanner, and a General Linear Model (GLM) was applied to analyze blood oxygenation level-dependent (BOLD) signals, focusing on the precuneus's role in imagery vividness.</p><p><strong>Results: </strong>The results revealed that the left precuneus was found activated in both SI and DI tasks. Moreover, the left precuneus activation was positively correlated with VVIQ score. On the other hand, greater activation in the right precuneus was found during dynamic than static imagery as well as more extensive neural engagements; the right precuneus activation was further detected significantly correlated with individual VVIQ scores.</p><p><strong>Discussion: </strong>The study's findings offered fresh insights into the cognitive and neural processes subserving VMI. By revealing the distinct roles of the left and right precuneus in imagery vividness, this research contributed to a more nuanced understanding of VMI and its neural basis.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1516058"},"PeriodicalIF":2.4,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11949904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752138","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":"Combined deep and reinforcement learning with gaming to promote healthcare in neurodevelopmental disorders: a new hypothesis.","authors":"Fabrizio Stasolla, Anna Passaro, Enza Curcio, Mariacarla Di Gioia, Antonio Zullo, Mirella Dragone, Elvira Martini","doi":"10.3389/fnhum.2025.1557826","DOIUrl":"10.3389/fnhum.2025.1557826","url":null,"abstract":"","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1557826"},"PeriodicalIF":2.4,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11949992/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752087","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":"Corrigendum: Dazzled by the mystery of mentalism: the cognitive neuroscience of mental athletes.","authors":"Andres Rieznik, Mikhail Lebedev, Mariano Sigman","doi":"10.3389/fnhum.2025.1569293","DOIUrl":"https://doi.org/10.3389/fnhum.2025.1569293","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fnhum.2017.00287.].</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1569293"},"PeriodicalIF":2.4,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11947720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729517","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":"Classifying mental motor tasks from chronic ECoG-BCI recordings using phase-amplitude coupling features.","authors":"Morgane Marzulli, Alexandre Bleuzé, Joe Saad, Felix Martel, Philippe Ciuciu, Tetiana Aksenova, Lucas Struber","doi":"10.3389/fnhum.2025.1521491","DOIUrl":"10.3389/fnhum.2025.1521491","url":null,"abstract":"<p><strong>Introduction: </strong>Phase-amplitude coupling (PAC), the modulation of high-frequency neural oscillations by the phase of slower oscillations, is increasingly recognized as a marker of goal-directed motor behavior. Despite this interest, its specific role and potential value in decoding attempted motor movements remain unclear.</p><p><strong>Methods: </strong>This study investigates whether PAC-derived features can be leveraged to classify different motor behaviors from ECoG signals within Brain-Computer Interface (BCI) systems. ECoG data were collected using the WIMAGINE implant during BCI experiments with a tetraplegic patient performing mental motor tasks. The data underwent preprocessing to extract complex neural oscillation features (amplitude, phase) through spectral decomposition techniques. These features were then used to quantify PAC by calculating different coupling indices. PAC metrics served as input features in a machine learning pipeline to evaluate their effectiveness in predicting mental tasks (idle state, right-hand movement, left-hand movement) in both offline and pseudo-online modes.</p><p><strong>Results: </strong>The PAC features demonstrated high accuracy in distinguishing among motor tasks, with key classification features highlighting the coupling of theta/low-gamma and beta/high-gamma frequency bands.</p><p><strong>Discussion: </strong>These preliminary findings hold significant potential for advancing our understanding of motor behavior and for developing optimized BCI systems.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1521491"},"PeriodicalIF":2.4,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936922/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718605","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":"Case Report: Reversible alien hand syndrome caused by cerebral infarction.","authors":"Guo-Liang Lin, Xiao-Qian Yu, Han-Yu Cai, Ru-Yi Zhou, Xiao-Tian Li, Xiong Zhang, Jian-Yong Wang","doi":"10.3389/fnhum.2025.1551539","DOIUrl":"10.3389/fnhum.2025.1551539","url":null,"abstract":"<p><strong>Introduction: </strong>Alien hand syndrome (AHS) is a rare apraxia syndrome that may arise from several neurological disorders including stroke. Given the uncommon symptoms, stroke with AHS as its main manifestation often results in diagnostic challenges and treatment delays.</p><p><strong>Case presentation: </strong>We herein presented a case of post-stroke AHS caused by corpus callosum infarction. We prescribed him aspirin, clopidogrel, atorvastatin and memantine, and his AHS was remitted completely within 8 days.</p><p><strong>Conclusion: </strong>AHS is a rare manifestation of cerebral infarction that is generally reversible. Rapid identification of post-stroke AHS and early initiation of treatment are important to improve patient's prognosis.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1551539"},"PeriodicalIF":2.4,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718602","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":"Comparison metrics and power trade-offs for BCI motor decoding circuit design.","authors":"Joe Saad, Adrian Evans, Ilan Jaoui, Victor Roux-Sibillon, Emmanuel Hardy, Lorena Anghel","doi":"10.3389/fnhum.2025.1547074","DOIUrl":"10.3389/fnhum.2025.1547074","url":null,"abstract":"<p><p>Brain signal decoders are increasingly being used in early clinical trials for rehabilitation and assistive applications such as motor control and speech decoding. As many Brain-Computer Interfaces (BCIs) need to be deployed in battery-powered or implantable devices, signal decoding must be performed using low-power circuits. This paper reviews existing hardware systems for BCIs, with a focus on motor decoding, to better understand the factors influencing the power and algorithmic performance of such systems. We propose metrics to compare the energy efficiency of a broad range of on-chip decoding systems covering Electroencephalography (EEG), Electrocorticography (ECoG), and Microelectrode Array (MEA) signals. Our analysis shows that achieving a given classification rate requires an Input Data Rate (IDR) that can be empirically estimated, a finding that is helpful for sizing new BCI systems. Counter-intuitively, our findings show a negative correlation between the power consumption per channel (PpC) and the Information Transfer Rate (ITR). This suggests that increasing the number of channels can simultaneously reduce the PpC through hardware sharing and increase the ITR by providing new input data. In fact, for EEG and ECoG decoding circuits, the power consumption is dominated by the complexity of signal processing. To better understand how to minimize this power consumption, we review the optimizations used in state-of-the-art decoding circuits.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1547074"},"PeriodicalIF":2.4,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936894/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718607","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":"Distinct and content-specific neural representations of self- and other-produced actions in joint piano performance.","authors":"Natalie Kohler, Anna M Czepiel, Örjan de Manzano, Giacomo Novembre, Peter E Keller, Arno Villringer, Daniela Sammler","doi":"10.3389/fnhum.2025.1543131","DOIUrl":"10.3389/fnhum.2025.1543131","url":null,"abstract":"<p><p>During ensemble performance, musicians predict their own and their partners' action outcomes to smoothly coordinate in real time. The neural auditory-motor system is thought to contribute to these predictions by running internal forward models that simulate self- and other-produced actions slightly ahead of time. What remains elusive, however, is whether and how own and partner actions can be represented <i>simultaneously</i> and <i>distinctively</i> in the sensorimotor system, and whether these representations are <i>content-specific</i>. Here, we applied multivariate pattern analysis (MVPA) to functional magnetic resonance imaging (fMRI) data of duetting pianists to dissociate the neural representation of self- and other-produced actions during synchronous joint music performance. Expert pianists played familiar right-hand melodies in a 3 T MR-scanner, in duet with a partner who played the corresponding left-hand basslines in an adjacent room. In half of the pieces, pianists were motorically familiar (or unfamiliar) with their partner's left-hand part. MVPA was applied in primary motor and premotor cortices (M1, PMC), cerebellum, and planum temporale of both hemispheres to classify which piece was performed. Classification accuracies were higher in left than right M1, reflecting the content-specific neural representation of self-produced right-hand melodies. Notably, PMC showed the opposite lateralization, with higher accuracies in the right than left hemisphere, likely reflecting the content-specific neural representation of other-produced left-hand basslines. Direct physiological support for the representational alignment of partners' M1 and PMC should be gained in future studies using novel tools like interbrain representational similarity analyses. Surprisingly, motor representations in PMC were similarly precise irrespective of familiarity with the partner's part. This suggests that expert pianists may generalize contents of familiar actions to unfamiliar pieces with similar musical structure, based on the auditory perception of the partner's part. Overall, these findings support the notion of parallel, distinct, and content-specific self and other internal forward models that are integrated within cortico-cerebellar auditory-motor networks to support smooth coordination in musical ensemble performance and possibly other forms of social interaction.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":"19 ","pages":"1543131"},"PeriodicalIF":2.4,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11936940/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143718609","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}