Brain connectivity最新文献

Two Seconds to Speak: Increasing Communication Speed for fMRI-Based Brain-Computer Interfaces. 两秒钟说话：提高基于功能磁共振成像的脑机接口的通信速度。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-10-01 Epub Date: 2025-09-16 DOI: 10.1177/21580014251376731

Daniëlle Evenblij, Michael Lührs, Reebal W Rafeh, Amaia Benitez Andonegui, Deni Kurban, Giancarlo Valente, Bettina Sorger

{"title":"Two Seconds to Speak: Increasing Communication Speed for fMRI-Based Brain-Computer Interfaces.","authors":"Daniëlle Evenblij, Michael Lührs, Reebal W Rafeh, Amaia Benitez Andonegui, Deni Kurban, Giancarlo Valente, Bettina Sorger","doi":"10.1177/21580014251376731","DOIUrl":"10.1177/21580014251376731","url":null,"abstract":"Background: Brain-computer interfaces (BCIs) can provide alternative, motor-independent means of communication for people who have lost motor function. A promising variant is the functional magnetic resonance imaging (fMRI)-based BCI, which exploits information on hemodynamic brain activity evoked by performing different mental tasks. However, due to the sluggish nature of the hemodynamic response, a current challenge is to make these BCIs as efficient and fast as possible to allow useful clinical application. Furthermore, there is yet no consensus on optimal mental-task selection for multi-voxel pattern analysis-based decoding, nor whether certain tasks generalize well across users, or if individualized task selection would yield a higher decoding accuracy. Methods: To increase BCI efficiency, we tested whether distributed patterns of 3T-fMRI brain activation evoked by two-second mental tasks could be reliably discriminated in 2- to 7-class classification. In addition, we identified optimal mental-task combinations for high-accuracy classification across all classes. Finally, we examined whether individualized task selection-based on subjects' previous decoding performance (accuracy-based tasks) or their subjective preference (preference-based tasks)-was superior to the other in a yes/no communication paradigm. Results: The 2-class decoding resulted in a mean accuracy of 78% and 3- to 7-class accuracies were above chance level. Mental calculation and spatial navigation were most frequently associated with the highest decoding accuracy. Furthermore, subjects could encode yes/no answers using their accuracy-based and preference-based tasks with mean accuracies of 83% and 81%, respectively. This implies that this paradigm, using short encoding durations, is well-suited to the diversity of patients and could greatly increase BCI efficiency.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"283-299"},"PeriodicalIF":2.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145069065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Studying Time-Resolved Functional Connectivity via Communication Theory: On the Complementary Nature of Phase Synchronization and Sliding Window Pearson Correlation. 用通信理论研究时间分辨功能连通性：论相位同步和滑动窗口Pearson相关的互补性。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-10-01 Epub Date: 2025-09-12 DOI: 10.1177/21580014251376733

Sir-Lord Wiafe, Nana O Asante, Vince D Calhoun, Ashkan Faghiri

{"title":"Studying Time-Resolved Functional Connectivity via Communication Theory: On the Complementary Nature of Phase Synchronization and Sliding Window Pearson Correlation.","authors":"Sir-Lord Wiafe, Nana O Asante, Vince D Calhoun, Ashkan Faghiri","doi":"10.1177/21580014251376733","DOIUrl":"10.1177/21580014251376733","url":null,"abstract":"Background: Time-resolved functional network connectivity (trFNC) assesses the time-resolved coupling between brain regions using functional magnetic resonance imaging (fMRI) data. This study aims to compare two techniques used to estimate trFNC, to investigate their similarities and differences when applied to fMRI data. These techniques are the sliding window Pearson correlation (SWPC), an amplitude-based approach, and phase synchrony (PS), a phase-based technique. Methods: To accomplish our objective, we used resting-state fMRI data from the Human Connectome Project with 827 subjects [repetition time (TR): 0.7 sec] and the Function Biomedical Informatics Research Network with 311 subjects (TR: 2 sec), which included 151 schizophrenia (SZ) patients and 160 controls. Results: Our simulations reveal distinct strengths in two connectivity methods: SWPC captures high-magnitude, low-frequency connectivity, whereas PS detects low-magnitude, high-frequency connectivity. Stronger correlations between SWPC and PS align with pronounced fMRI oscillations. For fMRI data, higher correlations between SWPC and PS occur with matched frequencies and smaller SWPC window sizes (∼30 sec), but larger windows (∼88 sec) sacrifice clinically relevant information. Both methods identify a SZ-associated brain network state but show different patterns: SWPC highlights low anticorrelations between visual, subcortical, auditory, and sensory-motor networks, whereas PS shows reduced positive synchronization among these networks. Conclusion: In sum, our findings underscore the complementary nature of SWPC and PS, elucidating their respective strengths and limitations without implying the superiority of one over the other.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"300-318"},"PeriodicalIF":2.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145051731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

From Thought to Therapy in Real Time: Advances in Communication, Neuromodulation, and Network Decoding. 从思想到实时治疗：通讯、神经调节和网络解码的进展。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-10-01 Epub Date: 2025-09-17 DOI: 10.1177/21580014251378006

Nantu He, Steven Laureys

引用次数: 0

Salience Network Connectivity Predicts Response to Repetitive Transcranial Magnetic Stimulation in Smoking Cessation: A Preliminary Machine Learning Study. 显著性网络连接预测戒烟者对重复经颅磁刺激的反应：一项初步的机器学习研究。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-10-01 Epub Date: 2025-09-15 DOI: 10.1177/21580014251376722

Xingbao Li, Kevin A Caulfield, Andrew A Chen, Christopher S McMahan, Karen J Hartwell, Kathleen T Brady, Mark S George

{"title":"Salience Network Connectivity Predicts Response to Repetitive Transcranial Magnetic Stimulation in Smoking Cessation: A Preliminary Machine Learning Study.","authors":"Xingbao Li, Kevin A Caulfield, Andrew A Chen, Christopher S McMahan, Karen J Hartwell, Kathleen T Brady, Mark S George","doi":"10.1177/21580014251376722","DOIUrl":"10.1177/21580014251376722","url":null,"abstract":"Background: Combining functional magnetic resonance imaging (fMRI) and machine learning (ML) can be used to identify therapeutic targets and evaluate the effect of repetitive transcranial magnetic stimulation (rTMS) in neural networks in tobacco use disorder. We investigated whether large-scale network connectivity can predict the rTMS effect on smoking cessation. Methods: Smoking cue exposure task-fMRI (T-fMRI) and resting-state fMRI (Rs-fMRI) scans were acquired before and after the 10 sessions of active or sham rTMS (10 Hz, 3000 pulses per session) over the left dorsal lateral prefrontal cortex in 42 treatment-seeking smokers. Five large-scale networks (default model network, central executive network, dorsal attention network, salience network [SN], and reward network) were compared before and after 10 sessions of rTMS, as well as between active and sham rTMS conditions. We performed neural network and regression analysis on the average connectivity of large-scale networks and the effectiveness of rTMS induced by rTMS. Results: Regression analyses indicated higher salience connectivity in T-fMRI and lower reward connectivity in Rs-fMRI, predicting a better outcome of TMS treatment for smoking cessation (p < 0.01, Bonferroni corrected). Neural Network analyses suggested that SN was the most important predictor of rTMS effectiveness in both T-fMRI (0.33 of feature importance) and Rs-fMRI (0.37 feature importance). Conclusions: Both T-fMRI and Rs-fMRI connectivity in SN predict a better outcome of TMS treatment for smoking cessation, but in opposite directions. The work shows that ML models can be used to target TMS treatment. Given the small sample size, all ML findings should be replicated in a larger cohort to ensure their validity.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"319-329"},"PeriodicalIF":2.5,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145063291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Online Learning Framework for Neural Decoding in Embedded Neuromodulation Systems. 嵌入式神经调节系统神经解码的在线学习框架。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-09-12 DOI: 10.1177/21580014251374627

Yaesop Lee, Rong Chen, Shuvra Bhattacharyya

{"title":"An Online Learning Framework for Neural Decoding in Embedded Neuromodulation Systems.","authors":"Yaesop Lee, Rong Chen, Shuvra Bhattacharyya","doi":"10.1177/21580014251374627","DOIUrl":"https://doi.org/10.1177/21580014251374627","url":null,"abstract":"Introduction: Advancements in brain-computer interfaces (BCIs) have improved real-time neural signal decoding, enabling adaptive closed-loop neuromodulation. These systems dynamically adjust stimulation parameters based on neural biomarkers, enhancing treatment precision and adaptability. However, existing neuromodulation frameworks often depend on high-power computational platforms, limiting their feasibility for portable, real-time applications. Methods: We propose RONDO (Recursive Online Neural DecOding), a resource-efficient neural decoding framework that employs dynamic updating schemes in online learning with recurrent neural networks (RNNs). RONDO supports simple RNNs, long short-term memory networks, and gated recurrent units, allowing flexible adaptation to different signal type, accuracy, and real-time constraints. Results: Experimental results show that RONDO's adaptive model updating improves neural decoding accuracy by 35% to 45% compared to offline learning. Additionally, RONDO operates within real-time constraints of neuroimaging devices without requiring cloud-based or high-performance computing. Its dynamic updating scheme ensures high accuracy with minimal updates, improving energy efficiency and robustness in resource-limited settings. Conclusions: RONDO presents a scalable, adaptive, and energy-efficient solution for real-time closed-loop neuromodulation, eliminating reliance on cloud computing. Its flexibility makes it a promising tool for clinical and research applications, advancing personalized neurostimulation and adaptive BCIs.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"0"},"PeriodicalIF":2.5,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145147897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Difference Analysis of Brain Functional Activity Between Patients with Residual Dizziness Caused by Benign Paroxysmal Positional Vertigo and Persistent Postural-Perceptual Dizziness: A Resting-State Functional Magnetic Resonance Imaging Study. 良性阵发性体位性眩晕残留头晕与持续性体位感眩晕患者脑功能活动差异分析：静息状态功能磁共振成像研究。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-09-01 DOI: 10.1177/21580014251374579

Dan Liu, Yang Sun, Cunxin Lin, Shuaishuai Shen, Zhengwei Chen, Yueji Liu, HaiYan Liu, Xiu-E Wei, Lijie Xiao, Liangqun Rong

{"title":"Difference Analysis of Brain Functional Activity Between Patients with Residual Dizziness Caused by Benign Paroxysmal Positional Vertigo and Persistent Postural-Perceptual Dizziness: A Resting-State Functional Magnetic Resonance Imaging Study.","authors":"Dan Liu, Yang Sun, Cunxin Lin, Shuaishuai Shen, Zhengwei Chen, Yueji Liu, HaiYan Liu, Xiu-E Wei, Lijie Xiao, Liangqun Rong","doi":"10.1177/21580014251374579","DOIUrl":"10.1177/21580014251374579","url":null,"abstract":"Purpose: To explore brain function differences between patients with residual dizziness (RD) caused by benign paroxysmal positional vertigo (BPPV) and persistent postural-perceptual dizziness (PPPD) with resting-state functional magnetic resonance imaging. Method: Using the Data Processing and Analysis for Brain Imaging software to analyze differences in the amplitude of low-frequency fluctuations (ALFF) and functional connectivity (FC) among RD, PPPD, and healthy controls groups. Then constructed a brain network and compared FC within the network. Further evaluated the correlation between abnormal brain regions and clinical characteristics. Result: (1) Analysis of clinical characteristics: dizziness handicap inventory (DHI) scores differed between RD and PPPD groups. (2) Comparison of ALFF: RD group exhibited increased ALFF values in the right postcentral gyrus, right superior occipital gyrus, and right angular gyrus compared with the PPPD group. (3) Comparison of FC: the PPPD group exhibited weakened FC between the right cerebellum 8 region and right cerebellum crus1 region compared with the RD group. (4) Brain network analysis: Compared with the RD group, the PPPD group exhibited significantly reduced FC between the left supramarginal gyrus and the right angular gyrus. (5) Correlation analysis: The DHI scale scores of PPPD group were positively correlated with ALFF values of the right angular gyrus and negatively correlated with FC values between the right cerebellum 8 region and right cerebellum crus1 region. Conclusions: Significant differences in brain functional activity were observed between RD and PPPD patients, which reveals that there are differences between RD and PPPD patients regarding neural mechanisms in the process of pathogenesis.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"251-262"},"PeriodicalIF":2.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144942972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Stuck Brain: Constrained Connectivity and Temporal Rigidity in Tinnitus. 被卡住的大脑：耳鸣中受限的连接和时间刚性。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-09-01 Epub Date: 2025-08-26 DOI: 10.1177/21580014251374571

Marie Detroz, Steven Laureys, Audrey Maudoux

引用次数: 0

Investigating Neural Dynamics in Tinnitus Using Constrained Independent Component Analysis. 利用约束独立分量分析研究耳鸣的神经动力学。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-09-01 Epub Date: 2025-08-06 DOI: 10.1177/21580014251362839

Sabri Altunkaya, Güzin Özmen, Ercan Babur

{"title":"Investigating Neural Dynamics in Tinnitus Using Constrained Independent Component Analysis.","authors":"Sabri Altunkaya, Güzin Özmen, Ercan Babur","doi":"10.1177/21580014251362839","DOIUrl":"10.1177/21580014251362839","url":null,"abstract":"Background: Tinnitus is a neurological condition characterized by the perception of ringing or other phantom sounds in the absence of external auditory stimuli. It affects an estimated 10%-15% of adults worldwide and can significantly affect sleep and mood. Neuroimaging techniques, particularly functional Magnetic Resonance Imaging (fMRI), have been widely used to investigate the auditory system and brain networks in tinnitus. Resting-state fMRI (rs-fMRI), a noninvasive approach, is particularly effective in examining spontaneous neural activity and functional connectivity (FC) across brain regions. Methods: This study investigated alterations in FC in individuals with chronic, non-bothersome tinnitus due to acoustic trauma using both static FC (sFC) and dynamic FC (dFC) analyses. A constrained independent component analysis was applied to identify five resting-state networks across the 23 regions of interest. Results: sFC analysis revealed increased connectivity between the posterior cingulate cortex (a key region in the default mode network) and left angular gyrus (in the executive control network) in the tinnitus group. The dFC analysis showed that patients with tinnitus spent significantly more time in a weakly connected state, whereas healthy controls predominantly occupied a more segregated and strongly connected state. Conclusion: Findings suggest reduced network differentiation and altered temporal stability in individuals with non-bothersome tinnitus, potentially influenced by hearing loss. These alterations in both static and dynamic FC patterns provide insights into the neural underpinnings of tinnitus and its interaction with large-scale brain networks.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"263-277"},"PeriodicalIF":2.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144788292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Abnormal Degree Centrality of the Inferior Parietal Lobule Associated with Herpes Zoster and Postherpetic Neuralgia. 与带状疱疹和带状疱疹后神经痛相关的下顶叶异常中心度。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-09-01 Epub Date: 2025-07-25 DOI: 10.1177/21580014251362857

Qian Li, Yu Mao, Yue He, Shengdan Liu, Mingling Yu, Changhe Ren, Guangxiang Chen

{"title":"Abnormal Degree Centrality of the Inferior Parietal Lobule Associated with Herpes Zoster and Postherpetic Neuralgia.","authors":"Qian Li, Yu Mao, Yue He, Shengdan Liu, Mingling Yu, Changhe Ren, Guangxiang Chen","doi":"10.1177/21580014251362857","DOIUrl":"10.1177/21580014251362857","url":null,"abstract":"Background: Numerous neuroimaging studies have revealed abnormal brain function in patients with herpes zoster (HZ) and postherpetic neuralgia (PHN). However, few studies have focused on the alterations of intrinsic degree centrality (DC) in the transition process from the HZ to the PHN. Materials and Methods: Resting-state functional MRI (rs-fMRI) data from 27 patients with PHN, 24 patients with HZ, and 21 healthy controls (HCs) were acquired. DC based on rs-fMRI was used to explore specific brain functional abnormalities in these participants. Results: Compared with HCs, patients with HZ presented decreased DC values in the right superior frontal gyrus, right cingulate gyrus, bilateral inferior parietal lobule (IPL), bilateral precuneus, and right paracentral lobule. Compared with HCs, patients with PHN also exhibited decreased DC values in the bilateral IPL. However, no regions with significant DC value changes were found between the HZ and PHN groups. Conclusions: These results suggest that decreased DC of the IPL is associated with the underlying neural mechanisms of the HZ and PHN stages and may represent a potential biomarker or intervention target candidate that needs further longitudinal confirmation.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"243-250"},"PeriodicalIF":2.5,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144854599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of Tasks on Functional Brain Connectivity Derived from Interindividual Correlations: Insights from Regional Homogeneity of Functional MRI Data. 任务对源自个体间相关性的功能性脑连通性的影响：来自功能性MRI数据区域同质性的见解。

IF 2.5 3区医学

Brain connectivity Pub Date : 2025-08-01 Epub Date: 2025-06-25 DOI: 10.1089/brain.2024.0044

Xin Di, Pratik Jain, Bharat B Biswal

{"title":"Effects of Tasks on Functional Brain Connectivity Derived from Interindividual Correlations: Insights from Regional Homogeneity of Functional MRI Data.","authors":"Xin Di, Pratik Jain, Bharat B Biswal","doi":"10.1089/brain.2024.0044","DOIUrl":"10.1089/brain.2024.0044","url":null,"abstract":"Introduction: Research on brain functional connectivity often relies on intraindividual moment-to-moment correlations of functional activity, typically using functional MRI (fMRI). Interindividual correlations are also employed in data from fMRI and positron emission tomography. Many studies have not specified tasks during scanning, keeping participants in an implicit \"resting\" condition. This lack of task specificity raises questions about how different tasks impact interindividual correlation estimates. Methods and Results: In our analysis of fMRI data from 100 unrelated participants scanned during seven tasks and in a resting state, we calculated regional homogeneity (ReHo) for each task as a regional measure of brain function. We found that changes in ReHo due to tasks were relatively small compared with its variations across brain regions. Cross-region variations of ReHo were highly correlated among tasks. Similarly, whole-brain interindividual correlation patterns were remarkably consistent across the tasks, showing correlations greater than 0.78. Changes in interindividual correlations between tasks were primarily driven by connectivity in the visual, somatomotor, and default mode networks, as well as the interactions between them. Conclusions: These subtle yet statistically significant differences in functional connectivity may be linked to specific brain regions associated with the studied tasks. Future studies should consider task design when exploring interindividual connectivity in specific brain systems.","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"207-216"},"PeriodicalIF":2.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12419389/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144494584","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}

引用次数: 0