Heterogeneity of Degree Centrality Revealed Different Subtypes in Children with Autism Spectrum Disorder [0.03%]
基于度中心性的异质性揭示了自闭症儿童的不同亚型
Xiaonan Guo,Yingnan Xing,Dong Cui et al.
Xiaonan Guo et al.
Introduction: Autism spectrum disorder (ASD) is a neurodevelopmental condition that exhibits a wide range of clinical heterogeneity. This study aimed to explore the heterogeneity of ASD based on deviations in brain functional networks. Meth...
Effects of Tasks on Functional Brain Connectivity Derived from Interindividual Correlations: Insights from Regional Homogeneity of Functional MRI Data [0.03%]
基于个体间相关性的任务对功能连接的影响：来自功能性磁共振影像数据区域均匀性的启示
Xin Di,Pratik Jain,Bharat B Biswal
Xin Di
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...
Changes in the Functional Connectivity of Cerebellar Subregions in Anti- N-Methyl-d-Aspartate Receptor Encephalitis [0.03%]
抗N-甲基-D天冬氨酸受体脑炎中皮层小脑功能连接的改变
Muzi Li,Zijun Liu,Jingwen Li et al.
Muzi Li et al.
Background: In anti-N-methyl-d-aspartate receptor (anti-NMDAR) encephalitis, the cerebellum, a characteristic brain region, exhibits abnormal functioning and structure. However, the relationship between resting-state activities in the cereb...
Revisiting the Multilayer Network Framework for Electrophysiological Networks [0.03%]
多层网络框架在电生理网络中的再研究
Prejaas K B Tewarie,Steven Laureys,Rikkert Hindriks
Prejaas K B Tewarie
Background: The multilayer network framework has emerged as an innovative approach for analyzing electrophysiological networks, providing insights into complex neuronal interactions by integrating connectivity across different frequency ban...
The Lack of Neurofeedback Training Regulation Guidance and Process Evaluation May be a Source of Controversy in Post-Traumatic Stress Disorder-Neurofeedback Research: A Systematic Review and Statistical Analysis [0.03%]
神经反馈训练的缺乏规范指导及过程评估可能是创伤后应激障碍-神经反馈研究争议的来源：系统回顾和统计分析
Peng Ding,Lize Tan,He Pan et al.
Peng Ding et al.
Objectives: Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive interventions for post-traumatic stress disorder (PTSD). However, existing research lacks comprehensive methodologies and experim...
Connecting the Dots: How Adaptive Brain Networks Guide the Future of Clinical Neuroscience [0.03%]
融会贯通：适应性脑网络引领临床神经科学的未来方向
Roxane Hoyer,Steven Laureys
Roxane Hoyer
Dynamic Task-Related Changes in Electroencephalography Brain Connectivity During a Button-Press Task in Children with and Without Bilateral Cerebral Palsy [0.03%]
双侧脑瘫儿童在按钮任务中的动态任务相关脑电图脑网络改变
Sang Wook Lee,Thomas C Bulea,Julia E Kline et al.
Sang Wook Lee et al.
Background: Cerebral palsy (CP) often affects function of one or both arms. Resting-state magnetic resonance imaging studies identified abnormal neuronal connectivity related to functional deficits in CP, with few studies on dynamic, task-r...
Direct Comparison of EEG Resting State and Task Functional Connectivity Patterns for Predicting Working Memory Performance Using Connectome-Based Predictive Modeling [0.03%]
基于连接组的预测模型直接比较静息态和任务状态功能连接矩阵以预测工作记忆表现
Anton Pashkov,Ivan Dakhtin
Anton Pashkov
Background: The integration of machine learning with advanced neuroimaging has emerged as a powerful approach for uncovering the relationship between neuronal activity patterns and behavioral traits. While resting-state neuroimaging has sig...
Effects of Transcranial Magnetic Stimulation on Cognitive-Affective Task-Based Functional Connectivity [0.03%]
经颅磁刺激对认知-情绪任务正则连接的影响
Merideth A Addicott,Jonathan R Young,L Gregory Appelbaum
Merideth A Addicott
Objective: Repetitive transcranial magnetic stimulation (rTMS) uses electromagnetic fields to induce electrical currents in the superficial cortex, and this electric signal is believed to propagate to functionally connected distal brain reg...
Task-radMBNet: An Improved Task-Driven Dynamic Graph Sparsity Pattern Radiomics-Based Morphological Brain Network for Alzheimer's Disease Characterization [0.03%]
任务驱动的动态图稀疏模式放射组学形态脑网络在阿尔茨海默病特征表征中的应用
Limei Song,Zhiwei Song,Pengzhi Nan et al.
Limei Song et al.
Background: The study of task-driven dynamic adaptive graph sparsity patterns in Alzheimer's disease (AD) analysis is of great importance, as it allows for better focus on regions and connections of interest and enhances task sensitivity. M...