Mahsa Dadar,Maryna Zhernovaia,Sawsan Mahmoud et al.
Mahsa Dadar et al.
Introduction: Cerebral microbleeds are small perivascular hemorrhages that can occur in both gray and white matter brain regions. Microbleeds are a marker of cerebrovascular pathology and are associated with an increased ...
Manifold-aware synthesis of high-resolution diffusion from structural imaging [0.03%]
基于结构像的高分辨率弥散张量融合重建合成技术研究
Benoit Anctil-Robitaille,Antoine Théberge,Pierre-Marc Jodoin et al.
Benoit Anctil-Robitaille et al.
The physical and clinical constraints surrounding diffusion-weighted imaging (DWI) often limit the spatial resolution of the produced images to voxels up to eight times larger than those of T1w images. The detailed information contained in ...
Estimating and mitigating the effects of systemic low frequency oscillations (sLFO) on resting state networks in awake non-human primates using time lag dependent methodology [0.03%]
基于时间滞后依赖方法估算和降低系统低频振荡对静息态网络影响的觉醒非人灵长类动物模型研究
Lei Cao,Stephen J Kohut,Blaise deB Frederick
Lei Cao
Aim: Resting-state fMRI (rs-fMRI) is often used to infer regional brain interactions from the degree of temporal correlation between spontaneous low-frequency fluctuations, thought to reflect local changes in the BOLD sig...
A training program for researchers in population neuroimaging: Early experiences [0.03%]
人口神经影像研究人员培训项目：初步经验
Caterina Rosano
Caterina Rosano
Recent advances in neuroimaging create groundbreaking opportunities to better understand human neurological and psychiatric diseases, but also bring new challenges. With the advent of more and more sophisticated and efficient multimodal ima...
DORIS: A diffusion MRI-based 10 tissue class deep learning segmentation algorithm tailored to improve anatomically-constrained tractography [0.03%]
基于弥散磁共振的适用于改进解剖约束 tractography 的一种 10 组织类深度学习分割算法 Doris 研究
Guillaume Theaud,Manon Edde,Matthieu Dumont et al.
Guillaume Theaud et al.
Modern tractography algorithms such as anatomically-constrained tractography (ACT) are based on segmentation maps of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). These maps are generally estimated from a T1-weighted (...
Deep learning in neuroimaging data analysis: Applications, challenges, and solutions [0.03%]
深度学习在影像组学数据分析中的应用、挑战及解决方案
Lev Kiar Avberšek,Grega Repovš
Lev Kiar Avberšek
Methods for the analysis of neuroimaging data have advanced significantly since the beginning of neuroscience as a scientific discipline. Today, sophisticated statistical procedures allow us to examine complex multivariate patterns, however...
Automated seizure onset zone locator from resting-state functional MRI in drug-resistant epilepsy [0.03%]
难治性癫痫的静息态功能磁共振自动化发作起始区定位方法研究
Ayan Banerjee,Payal Kamboj,Sarah N Wyckoff et al.
Ayan Banerjee et al.
Objective: Accurate localization of a seizure onset zone (SOZ) from independent components (IC) of resting-state functional magnetic resonance imaging (rs-fMRI) improves surgical outcomes in children with drug-resistant e...
Control-theoretic integration of stimulation and electrophysiology for cognitive enhancement [0.03%]
基于控制理论的刺激和电生理学在认知增强中的整合研究
Matthew F Singh,Michael W Cole,Todd S Braver et al.
Matthew F Singh et al.
Transcranial electrical stimulation (tES) technology and neuroimaging are increasingly coupled in basic and applied science. This synergy has enabled individualized tES therapy and facilitated causal inferences in functional neuroimaging. H...
White matter tract changes in pediatric posterior fossa brain tumor survivors after surgery and chemotherapy [0.03%]
儿童后颅窝脑肿瘤手术及化疗后的放射组学特征及相关性研究
Jeffrey Tanedo,Niharika Gajawelli,Sharon Guo et al.
Jeffrey Tanedo et al.
Background: Survivors of pediatric posterior fossa brain tumors are susceptible to the adverse effects of treatment as they grow into adulthood. While the exact neurobiological mechanisms of these outcomes are not yet und...
Cumulant expansion with localization: A new representation of the diffusion MRI signal [0.03%]
结合局域化的累积量展开：扩散MRI信号的一种新表达式
Maryam Afzali,Tomasz Pieciak,Derek K Jones et al.
Maryam Afzali et al.
Diffusion MR is sensitive to the microstructural features of a sample. Fine-scale characteristics can be probed by employing strong diffusion gradients while the low b-value regime is determined by the cumulants of the distribution of parti...