Estimating Modular Brain Connectivity from High-Dimensional fMRI Data using a Multi-Scale Factor Mod

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：yejing00

【摘要】

：

We consider the challenges in modeling and estimating large-scale functional brain connectivity with a hierarchical and modular structure from high-dimensional functional magnetic resonance imaging(fM

【作者】

：

Chee-Ming Ting Hernando Ombao Sh-Hussain Salleh

【机构】

：

Center for Biomedical Engineering,Universiti Teknologi Malaysia,81310 Skudai,Malaysia

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Factor analysis principal component analysis high-dimensional covariance brain c

下载到本地 , 更方便阅读

下载此文赞助VIP

声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架

论文部分内容阅读

其他文献

A novel chi-square statistic for detecting group differences between pathways in systems epidemiolog

Traditional epidemiology often pays more attention to the identification of a single factor rather than to the pathway that is related to a disease,and therefore,it is difficult to explore the disease

会议

Systems epidemiologyGroup differences between pathwaysChi-square statisticsPa

Real World Data in Pharmaceutical Development

Real world data(RWD)refers to subject-oriented data captured without interference or bias from the environment and methodology of the data collection itself.

会议

Real world datahealth economic burden

Statistical challenges in longitudinal studies with non-ignorable missing data

会议

Modeling Seasonality and Serial Dependence of Electricity Price Curves with Warping Functional Autor

Electricity prices are high dimensional,serially dependent and have seasonal variations.We propose a Warping Functional AutoRegressive(WFAR)model that simultaneously accounts for the cross time-depend

会议

Seasonal functional time seriesWarping functionKarcher mean

A Group Sequential Closed Testing Procedure Based on Simes Test for Clinical Trials with Multiple Ob

To apply a group sequential procedure for clinical trials with multiple subgroups or multiple endpoints,the closed testing procedure based on the Bonferroni test can be used jointly,as a group sequent

会议

Multiplicity adjustmentMultiple objectiveGroup sequential procedureClosed tes

Building Personalized Treatment Regimens from SMART Studies

A dynamic treatment regime is a sequence of decision rules that specify how the dosage and/or type of treatment should be adjusted through time in response to an individuals changing needs.

会议

Sequential Decision makingpersonalized medicineQ-learning

Generalized Linear Mixed Models with Gaussian Mixture Random Effects

会议

Estimate Variable Importance for Recurrent Event Outcomes with an Application to Identify Hypoglycem

Recurrent event data are important data type for medical research.In particular,many safety endpoints are recurrent outcomes,such as hypoglycemic events.

会议

Gradient BoostingRecurrent Event DataRandom ForestVariable ImportanceVariabl

A HGLM Modeling Approach for Accelerated Life Tests with Random Effects

Most analyses of accelerated life test(ALT)ignore random effects even if information is available to estimate these effects because of difficulties in the traditional frequentist analysis methods.Igno

会议

Accelerated life testh-likelihoodrandom effects

Frailty Modelling Approaches for Semi-competing Risks Data

We consider the semi-competing risks situation where a terminal event(e.g.death)censors a non-terminal event(e.g.disease recurrence),but not vice versa.

会议

Competing risksFrailty modelsH-likelihoodMarginal likelihoodSemi-competing r

Estimating Modular Brain Connectivity from High-Dimensional fMRI Data using a Multi-Scale Factor Mod

与本文相关的学术论文