Dyslexia Data Consortium: A Comprehensive Platform for Neuroimaging Data Sharing, Analysis, and Advanced Research in Dyslexia [0.03%]
阅读障碍数据联盟：一个全面的神经影像数据分析和高级研究平台
Rishikesh V Phatangare,Mark A Eckert,Li Luo et al.
Rishikesh V Phatangare et al.
Neuroimaging studies have and continue to advance our understanding of the neurobiology of dyslexia. Integration of data from these studies has the potential to replicate findings, deepen understanding through theoretically focused research...
Eugen-Richard Ardelean,Raluca Portase
Eugen-Richard Ardelean
With recent developments in recording hardware, the processing of neuronal data must keep up with the increasing volumes and complexity by capturing the intrinsic relationships between instances of neuronal activity while remaining invarian...
Reducing Inter-Individual Differences in Task fMRI Preprocessing with OGRE (One-Step General Registration and Extraction) Preprocessing [0.03%]
利用OGRE预处理减少任务态fMRI个体间的差异(Initialized as One-Step General Registration and Extraction)
Mark P McAvoy,Lei Liu,Ruiwen Zhou et al.
Mark P McAvoy et al.
Maria Mannone,Patrizia Ribino,Peppino Fazio et al.
Maria Mannone et al.
Brain functional connectivity alterations, that is, pathological changes in the signal exchange between areas of the brain, are occurring in several neurological diseases, including neurodegenerative and neuropsychiatric ones. They consist ...
Overcoming Site Variability in Multisite fMRI Studies: an Autoencoder Framework for Enhanced Generalizability of Machine Learning Models [0.03%]
多站点fMRI研究中克服站点变异性的自编码器框架以提高机器学习模型的泛化性能
Fahad Almuqhim,Fahad Saeed
Fahad Almuqhim
Harmonizing multisite functional magnetic resonance imaging (fMRI) data is crucial for eliminating site-specific variability that hinders the generalizability of machine learning models. Traditional harmonization techniques, such as ComBat,...
Identification of Mild Hepatic Encephalopathy Based on Multi-level Functional Connectivity Hypernetwork [0.03%]
基于多水平功能连接超网络的轻度肝性脑病识别方法研究
Chi Zhang,Fei Liu,Yue Cheng et al.
Chi Zhang et al.
Early diagnosis of mild hepatic encephalopathy is important for the reversion of hepatic encephalopathy. Brain hyper-connectivity networks with hyperedges have showed good performance for diagnosis of neurological disorders. However, the pr...
Latent Growth Models of Longitudinal Changes in Functional Connectivity during Early Stage Psychosis [0.03%]
早期精神病发病阶段功能连接纵向变化的潜在增长模型
Kristina M Holton,Shi Yu Chan,Austin J Brockmeier et al.
Kristina M Holton et al.
Resting state functional magnetic resonance imaging (fMRI) is a useful technique to characterize functional connectivity patterns between regions of the brain, based on the Fisher-transformed Pearson correlations in the BOLD signal. Pinpoin...
Wieslaw L Nowinski
Wieslaw L Nowinski
Integrated 3D Modeling and Functional Simulation of the Human Amygdala: A Novel Anatomical and Computational Analyses [0.03%]
人杏仁体的集成三维建模与功能仿真：一种新颖的解剖和计算分析方法
Eren Ogut
Eren Ogut
The amygdala plays a central role in emotion, memory, and decision-making and comprises approximately 13 distinct nuclei with connectivity. Despite its functional importance, high-resolution subnuclear mapping is challenging. This study aim...
Scikit-NeuroMSI: A Generalized Framework for Modeling Multisensory Integration [0.03%]
Scikit-NeuroMSI：一种用于多感觉整合建模的通用框架
Renato Paredes,Juan B Cabral,Peggy Seriès
Renato Paredes
Multisensory integration is a fundamental neural mechanism crucial for understanding cognition. Multiple theoretical models exist to account for the computational processes underpinning this mechanism. However, there is an absence of a cons...