位置：成果数据库 > 期刊 > 期刊详情页
MIC as an Appropriate Method to Construct the Brain Functional Network.
  • ISSN号：2314-6133
  • 期刊名称：BioMed Research International
  • 时间：2014
  • 页码：1-9
  • 相关项目：基于神经影像的信息处理与分析方法研究
作者： Sun,Shu|Yi,Ming|Wu,Xia|Ding,Yiming|
同期刊论文项目
基于神经影像的信息处理与分析方法研究
期刊论文 18 会议论文 2
同项目期刊论文
Alzheimer's disease-related changes in regional spontaneous brain activity levels and inter-
Resting-state brain activity in major depressive disorder patients and their siblings
Abnormal Baseline Brain Activity in Non-Depressed Parkinson's Disease and Depressed Parkinso
Bayesian network analysis revealed the connectivity difference of the default mode network form the
Altered effective connectivity model in the default mode network betweenbipolar and unipolar depress
Multi-modality Sparse Representation-based Classification for Alzheimer's disease and Mild C
A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data.
A new dynamic Bayesian network approach for determining effective connectivity from fMRI data
Regional Homogeneity within the Default Mode Network in Bipolar Depression: A Resting-State Function
The Receiver Operational Characteristic for Binary Classification with Multiple Indices and Its Appl
The contribution of different frequency bands of fMRI data to the correlation with EEG alpha rhythm
Big data analysis of the human brain’s functional interactions based on fMRI
The altered triple networks interaction indepression under resting state based on graph theory
Breakdown of Sensorimotor Network Communication in Leukoaraiosis
Big data analysis of the human brain＇s functional interactions based on fMRI