{"title":"Neural functions vary by return-to-sport status in participants with anterior cruciate ligament reconstruction: a retrospective cohort study using sub-bands of resting-state functional magnetic resonance.","authors":"Hongyun Song, Sunan Zhu, Zongyou Pan, XiaoJing Yu, Bing Xiong, Xuesong Dai","doi":"10.3389/fnhum.2024.1457823","DOIUrl":"10.3389/fnhum.2024.1457823","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to characterize the differences in neural function among patients with different functional abilities 2 years after anterior cruciate ligament reconstruction (ACLR).</p><p><strong>Design: </strong>Resting-state functional magnetic resonance imaging was performed to obtain blood-oxygen-level-dependent values for ACLR returned to sports coper participants (CP), non-coper participants (NP), and healthy controls (HC). The amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo) calculated changes in the standard frequency band (SFB) (0.01-0.08 Hz), Slow4 (0.027-0.073 Hz), and Slow5 (0.01-0.027 Hz). Clinical correlations were investigated.</p><p><strong>Results: </strong>The right cerebellum_8 and bilateral putamen in SFB, while the right cerebellum_crus2 and left putamen in Slow5 were higher in CP than in NP. The ALLF values of the bilateral putamen in Slow4 were increased, while the right parietal lobule in Slow4 and left upper temporal pole in Slow5 were lower in CP than in HC. The ReHo values in the CP group in the right cerebellum_crus2 was higher than that in the NP group in Slow5 (voxel <i>p</i> < 0.05, cluster <i>p</i> < 0.05, Gaussian Random Field theory correction). Y-balance test was correlated with cerebellum ALFF values; Tegner was moderately correlated with putamen ALFF values (<i>p</i> < 0.05). Knee Injury and Osteoarthritis Outcome Score-sports, International Knee Documentation Committee Subjective Knee Evaluation Form and Tegner scores were correlated with the ReHo values of right cerebellum_crus2 (<i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>Subcortical function transfer was performed in patients with ACLR who returned to sports postoperatively: the function of the somatosensory brain area decreased, while that of the subcortical cerebellum and basal ganglia and cerebellum ReHo increased in CP, which was correlated with clinical function. ALFF and ReHo are consistent to some extent, and sub-band studies can reveal information on different brain functions compared to the classical band.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11564169/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645981","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}
Xiao-Xia Liu, Guozheng Wang, Ruixuan Zhang, Zhuying Ren, Di Wang, Jun Liu, Jian Wang, Ying Gao
{"title":"Sensory reweighting and self-motion perception for postural control under single-sensory and multisensory perturbations in older Tai Chi practitioners.","authors":"Xiao-Xia Liu, Guozheng Wang, Ruixuan Zhang, Zhuying Ren, Di Wang, Jun Liu, Jian Wang, Ying Gao","doi":"10.3389/fnhum.2024.1482752","DOIUrl":"10.3389/fnhum.2024.1482752","url":null,"abstract":"<p><strong>Purpose: </strong>Impairment in perception and sensory reweighting could predispose older adults to falls. This exploratory study aimed to investigate the differences in sensory reweighting and self-motion perception for postural control under single-sensory and multisensory perturbations between older Tai Chi (TC) practitioners and healthy active older controls.</p><p><strong>Methods: </strong>Twenty-four TC practitioners and 23 age-matched non-practitioners were recruited in this observational study. Participants stood on a force plate with or without a foam surface (baseline), followed by 36 s of visual rotation stimuli, vestibular rotation stimuli, or reduced somatosensory input (adaptation), and then continued standing for 44 s (reintegration). The center-of-pressure (COP) trajectories and self-motion perception were recorded. COP signals were analyzed using traditional sway, multiscale entropy, and wavelet analysis methods and the time-window-of-integration model to examine the postural balance performance and the flexibility and speed of sensory reweighting.</p><p><strong>Results: </strong>Significant interaction effects of group with sensory perturbation and group with time window on COP parameters were observed (<i>p</i> < 0.05). Compared with non-practitioners, TC practitioners exhibited higher postural stability and complexity as the difficulty of standing tasks increased and smaller time windows to return to baseline levels as disturbance time evolved. Moreover, TC practitioners exhibited significantly greater weighting on unperturbed sensory systems, lower weighting on perturbed sensory systems for postural control, and higher self-motion perception ability under visual, vestibular, and visual-vestibular perturbations (<i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>Long-term TC practitioners exhibited superior postural stability and adaptability under challenging sensory perturbations, and smaller amplitudes and shorter durations of postural aftereffects over time during adaptation and reintegration. These improvements may be partly attributed to more rapid and flexible sensory reweighting and improved self-motion perception for postural control.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11565703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646000","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":"Multi-source domain adaptation for EEG emotion recognition based on inter-domain sample hybridization.","authors":"Xu Wu, Xiangyu Ju, Sheng Dai, Xinyu Li, Ming Li","doi":"10.3389/fnhum.2024.1464431","DOIUrl":"10.3389/fnhum.2024.1464431","url":null,"abstract":"<p><strong>Background: </strong>Electroencephalogram (EEG) is widely used in emotion recognition due to its precision and reliability. However, the nonstationarity of EEG signals causes significant differences between individuals or sessions, making it challenging to construct a robust model. Recently, domain adaptation (DA) methods have shown excellent results in cross-subject EEG emotion recognition by aligning marginal distributions. Nevertheless, these methods do not consider emotion category labels, which can lead to label confusion during alignment. Our study aims to alleviate this problem by promoting conditional distribution alignment during domain adaptation to improve cross-subject and cross-session emotion recognition performance.</p><p><strong>Method: </strong>This study introduces a multi-source domain adaptation common-branch network for EEG emotion recognition and proposes a novel sample hybridization method. This method enables the introduction of target domain data information by directionally hybridizing source and target domain samples without increasing the overall sample size, thereby enhancing the effectiveness of conditional distribution alignment in domain adaptation. Cross-subject and cross-session experiments were conducted on two publicly available datasets, SEED and SEED-IV, to validate the proposed model.</p><p><strong>Result: </strong>In cross-subject emotion recognition, our method achieved an average accuracy of 90.27% on the SEED dataset, with eight out of 15 subjects attaining a recognition accuracy higher than 90%. For the SEED-IV dataset, the recognition accuracy also reached 73.21%. Additionally, in the cross-session experiment, we sequentially used two out of the three session data as source domains and the remaining session as the target domain for emotion recognition. The proposed model yielded average accuracies of 94.16 and 75.05% on the two datasets, respectively.</p><p><strong>Conclusion: </strong>Our proposed method aims to alleviate the difficulties of emotion recognition from the limited generalization ability of EEG features across subjects and sessions. Though adapting the multi-source domain adaptation and the sample hybridization method, the proposed method can effectively transfer the emotion-related knowledge of known subjects and achieve accurate emotion recognition on unlabeled subjects.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560783/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142618178","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}
Daniel A Ignacio, Talin Babikian, Emily L Dennis, Kevin C Bickart, Meeryo Choe, Aliyah R Snyder, Anne Brown, Christopher C Giza, Robert F Asarnow
{"title":"The neurocognitive correlates of DTI indicators of white matter disorganization in pediatric moderate-to-severe traumatic brain injury.","authors":"Daniel A Ignacio, Talin Babikian, Emily L Dennis, Kevin C Bickart, Meeryo Choe, Aliyah R Snyder, Anne Brown, Christopher C Giza, Robert F Asarnow","doi":"10.3389/fnhum.2024.1470710","DOIUrl":"10.3389/fnhum.2024.1470710","url":null,"abstract":"<p><strong>Introduction: </strong>Neuroimaging has expanded our understanding of pediatric brain disorders in which white matter organization and connectivity are crucial to functioning. Paralleling the known pathobiology of many neurodevelopmental disorders, traumatic brain injury (TBI) in childhood can alter trajectories of brain development. Specifically, diffusion tensor imaging (DTI) studies in TBI have demonstrated white matter (WM) abnormalities that suggest microstructural disruptions that may underlie atypical neurodevelopment. The neurocognitive correlates of these previous findings will be explored in this study.</p><p><strong>Methods: </strong>Indicators of WM organization were collected in 44 pediatric patients with moderate/severe TBI and 76 controls over two post-injury time points: T1 (8-20 weeks) and T2 (54-96 weeks). Our previous work identified two TBI subgroups based on information processing differences: one with slower interhemispheric transfer times (IHTT) of visual information than controls and another with comparable IHTT. We extend this prior work by evaluating neurocognitive trajectories associated with divergent WM structure post-injury in slow and normal IHTT TBI subgroups.</p><p><strong>Results: </strong>At T1, both TBI subgroups performed significantly worse than controls on a norm-referenced working memory index (WMI), but only the Normal IHTT TBI subgroup significantly improved over the 12-month follow-up period (<i>p</i> = 0.014) to match controls (<i>p</i> = 0.119). In contrast, the Slow IHTT TBI subgroup did not show any recovery in working memory performance over time and performed more poorly than the control group (<i>p</i> < 0.001) at T2. Improvement in one of the two WMI subtests was associated with DTI indicators of WM disorganization in CC tracts to the precentral, postcentral, frontal, and parietal cortices. IHTT and WM mean diffusivity predicted 79% of the variance in cognitive recovery from T1 to T2 when also accounting for other known predictors of TBI recovery.</p><p><strong>Discussion: </strong>In the year following TBI, some pediatric patients experienced persisting working memory disturbance while others exhibited recovery; stratification was based on an event-related potential marker. More or less improvement in neurocognition was also associated with the degree of WM disorganization. IHTT, measured post-acutely after TBI, and progression of WM disorganization over time predicted neurocognitive trajectories at the chronic timeframe - potentially representing a prognostic biomarker.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560760/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142618302","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":"Caregivers in implantable brain-computer interface research: a scoping review.","authors":"Nicolai Wohns, Natalie Dorfman, Eran Klein","doi":"10.3389/fnhum.2024.1490066","DOIUrl":"10.3389/fnhum.2024.1490066","url":null,"abstract":"<p><strong>Introduction: </strong>While the ethical significance of caregivers in neurological research has increasingly been recognized, the role of caregivers in brain-computer interface (BCI) research has received relatively less attention.</p><p><strong>Objectives: </strong>This report investigates the extent to which caregivers are mentioned in publications describing implantable BCI (iBCI) research for individuals with motor dysfunction, communication impairment, and blindness.</p><p><strong>Methods: </strong>The scoping review was conducted in June 2024 using the PubMed and Web of Science bibliographic databases. The articles were systematically searched using query terms for caregivers, family members, and guardians, and the results were quantitatively and qualitatively analyzed.</p><p><strong>Results: </strong>Our search yielded 315 unique studies, 78 of which were included in this scoping review. Thirty-four (43.6%) of the 78 articles mentioned the study participant's caregivers. We sorted these into 5 categories: Twenty-two (64.7%) of the 34 articles thanked caregivers in the acknowledgement section, 6 (17.6%) articles described the caregiver's role with regard to the consent process, 12 (35.3%) described the caregiver's role in the technical maintenance and upkeep of the BCI system or in other procedural aspects of the study, 9 (26.5%) discussed how the BCI enhanced participant communication and goal-directed behavior with the help of a caregiver, and 3 (8.8%) articles included general comments that did not fit into the other categories but still related to the importance of caregivers in the lives of the research participants.</p><p><strong>Discussion: </strong>Caregivers were mentioned in less than half of BCI studies in this review. The studies that offered more robust discussions of caregivers provide valuable insight into the integral role that caregivers play in supporting the study participants and the research process. Attention to the role of caregivers in successful BCI research studies can help guide the responsible development of future BCI study protocols.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560881/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142618194","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":"Neuronal basis of high frequency fMRI fluctuation: direct evidence from simultaneous recording.","authors":"Yang Qiao, Hanbing Lu, Yihong Yang, Yufeng Zang","doi":"10.3389/fnhum.2024.1501310","DOIUrl":"10.3389/fnhum.2024.1501310","url":null,"abstract":"<p><p>Resting-state functional magnetic resonance imaging (RS-fMRI) has been extensively utilized for noninvasive investigation of human brain activity. While studies employing simultaneous recordings of fMRI and electrophysiology have established a connection between the low-frequency fluctuation (< 0.1 Hz) observed in RS-fMRI and the local field potential (LFP), it remains unclear whether the RS-fMRI signal exhibits frequency-dependent modulation, which is a well-documented phenomenon in LFP. The present study concurrently recorded resting-state functional magnetic resonance imaging (RS-fMRI) and local field potentials (LFP) in the striatum of 8 rats before and after a pharmacological manipulation. We observed a highly similar frequency-dependent pattern of amplitude changes in both RS-fMRI and LFP following the manipulation, specifically an increase in high-frequency band amplitudes accompanied by a decrease in low-frequency band amplitudes. These findings provide direct evidence that the enhanced high-frequency fluctuations and reduced low-frequency fluctuations observed in RS-fMRI may reflect heightened neuronal activity.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560898/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142618340","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}
Mingyue Liu, Mingzhu Fang, Mengya Liu, Shasha Jin, Bin Liu, Liang Wu, Zhe Li
{"title":"Knowledge mapping and research trends of brain-computer interface technology in rehabilitation: a bibliometric analysis.","authors":"Mingyue Liu, Mingzhu Fang, Mengya Liu, Shasha Jin, Bin Liu, Liang Wu, Zhe Li","doi":"10.3389/fnhum.2024.1486167","DOIUrl":"10.3389/fnhum.2024.1486167","url":null,"abstract":"<p><strong>Background: </strong>Although the application of brain-computer interface (BCI) technology in rehabilitation has been extensively studied, a systematic and comprehensive bibliometric analysis of this area remains lacking. Thus, this study aims to analyze the research progress of BCI technology in rehabilitation through bibliometric methods.</p><p><strong>Methods: </strong>The study retrieved relevant publications on BCI technology in rehabilitation from the Web of Science Core Collection (WoSCC) between January 1, 2004, and June 30, 2024. The search was conducted using thematic queries, and the document types included \"original articles\" and \"review articles.\" Bibliometric analysis and knowledge mapping were performed using the Bibliometrix package in R software and CiteSpace software.</p><p><strong>Results: </strong>During the study period, a total of 1,431 publications on BCI technology in rehabilitation were published by 4,932 authors from 1,281 institutions across 79 countries in 386 academic journals. The volume of research literature in this field has shown a steady upward trend. The United States of America (USA) and China are the primary contributors, with Eberhard Karls University of Tübingen being the most active research institution. The journal <i>Frontiers in Neuroscience</i> published the most articles, while the <i>Journal of Neural Engineering</i> was the most cited. Niels Birbaumer not only authored the most articles but also received the highest number of citations. The main research areas include neurology, sports medicine, and ophthalmology. The diverse applications of BCI technology in stroke and spinal cord injury rehabilitation, as well as the evaluation of BCI performance, are current research hotspots. Moreover, deep learning has demonstrated significant potential in BCI technology rehabilitation applications.</p><p><strong>Conclusion: </strong>This bibliometric study provides an overview of the research landscape and developmental trends of BCI technology in rehabilitation, offering valuable reference points for researchers in formulating future research strategies.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557533/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142618232","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":"Factors influencing the social acceptance of brain-computer interface technology among Chinese general public: an exploratory study.","authors":"RuiTong Xia, Shusheng Yang","doi":"10.3389/fnhum.2024.1423382","DOIUrl":"10.3389/fnhum.2024.1423382","url":null,"abstract":"<p><p>This study investigates the impact of social factors on public acceptance of brain-computer interface (BCI) technology within China's general population. As BCI emerges as a pivotal advancement in artificial intelligence and a cornerstone of Industry 5.0, understanding its societal reception is crucial. Utilizing data from the Psychological and Behavioral Study of Chinese Residents (<i>N</i> = 1,923), this research examines the roles of learning ability, age, health, social support, and socioeconomic status in BCI acceptance, alongside considerations of gender and the level of monthly household income. Multiple regression analysis via STATA-MP18 reveals that while health, socioeconomic status, social support, and learning ability significantly positively correlate with acceptance, and age presents an inverse relationship, gender and household income do not demonstrate a significant effect. Notably, the prominence of learning ability and social support as principal factors suggests targeted avenues for increasing BCI technology adoption. These findings refine the current understanding of technology acceptance and offer actionable insights for BCI policy and practical applications.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11558884/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142618226","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":"Predictive brain activity related to auditory information is associated with performance in speech comprehension tasks in noisy environments.","authors":"Kazuhiro Okamoto, Kengo Hoyano, Yoshitomo Saiki, Tomomi Nomura, Keisuke Irie, Naoya Obama, Narihiro Kodama, Yasutaka Kobayashi","doi":"10.3389/fnhum.2024.1479810","DOIUrl":"10.3389/fnhum.2024.1479810","url":null,"abstract":"<p><strong>Introduction: </strong>Understanding speech in noisy environments is challenging even for individuals with normal hearing, and it poses a significant challenge for those with hearing impairments or listening difficulties. There are limitations associated with the current methods of evaluating speech comprehension in such environments, especially in individuals with peripheral hearing impairments. According to the predictive coding model, speech comprehension is an active inference process that integrates sensory information through the interaction of bottom-up and top-down processing. Therefore, in this study, we aimed to examine the role of prediction in speech comprehension using an electrophysiological marker of anticipation: stimulus-preceding negativity (SPN).</p><p><strong>Methods: </strong>We measured SPN amplitude in young adults with normal hearing during a time-estimation task with auditory feedback under both quiet and noisy conditions.</p><p><strong>Results: </strong>The results showed that SPN amplitude significantly increased in noisy environments. Moreover, individual differences in SPN amplitude correlated with performance in a speech-in-noise test.</p><p><strong>Discussion: </strong>The increase in SPN amplitude was interpreted as reflecting the increased requirement for attentional resources for accurate prediction of speech information. These findings suggest that SPN could serve as a noninvasive neural marker for assessing individual differences in top-down processing involved in speech comprehension in noisy environments.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557536/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142618294","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}
Zhiqiang Zhu, Dongsheng Tang, Lang Qin, Zhenyu Qian, Jie Zhuang, Yu Liu
{"title":"Syncing the brain's networks: dynamic functional connectivity shifts from temporal interference.","authors":"Zhiqiang Zhu, Dongsheng Tang, Lang Qin, Zhenyu Qian, Jie Zhuang, Yu Liu","doi":"10.3389/fnhum.2024.1453638","DOIUrl":"https://doi.org/10.3389/fnhum.2024.1453638","url":null,"abstract":"<p><strong>Background: </strong>Temporal interference (TI) stimulation, an innovative non-invasive brain stimulation approach, has the potential to activate neurons in deep brain regions. However, the dynamic mechanisms underlying its neuromodulatory effects are not fully understood. This study aims to investigate the effects of TI stimulation on dynamic functional connectivity (dFC) in the motor cortex.</p><p><strong>Methods: </strong>40 healthy adults underwent both TI and tDCS in a double-blind, randomized crossover design, with sessions separated by at least 48 h. The total stimulation intensity of TI is 4 mA, with each channel's intensity set at 2 mA and a 20 Hz frequency difference (2 kHz and 2.02 kHz). The tDCS stimulation intensity is 2 mA. Resting-state functional magnetic resonance imaging (rs-fMRI) data were collected before, during, and after stimulation. dFC was calculated using the left primary motor cortex (M1) as the region of interest (ROI) and analyzed using a sliding time-window method. A two-way repeated measures ANOVA (group × time) was conducted to evaluate the effects of TI and tDCS on changes in dFC.</p><p><strong>Results: </strong>For CV of dFC, significant main effects of stimulation type (<i>P</i> = 0.004) and time (<i>P</i> < 0.001) were observed. TI showed lower CV of dFC than tDCS in the left postcentral gyrus (<i>P</i> < 0.001). TI-T2 displayed lower CV of dFC than TI-T1 in the left precentral gyrus (<i>P</i> < 0.001). For mean dFC, a significant main effect of time was found (<i>P</i> < 0.001). TI-T2 showed higher mean dFC than tDCS-T2 in the left postcentral gyrus (<i>P</i> = 0.018). Within-group comparisons revealed significant differences between time points in both TI and tDCS groups, primarily in the left precentral and postcentral gyri (all <i>P</i> < 0.001). Results were consistent across different window sizes.</p><p><strong>Conclusion: </strong>20 Hz TI stimulation altered dFC in the primary motor cortex, leading to a significant decreasing variability and increasing mean connectivity strength in dFC. This outcome indicates that the 20 Hz TI frequency interacted with the motor cortex's natural resonance.</p>","PeriodicalId":12536,"journal":{"name":"Frontiers in Human Neuroscience","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11554487/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142618297","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}