Marginal Spectrum Modulated Hilbert-Huang Transform: Application toTime Courses Extracted byIndependent Vector Analysis ofResting-State fMRI Data

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息会议信息基础信息归属信息摘要

成果类型：

会议论文

作者：

Li W.-X.;Zhang C.-Y.;Kuang L.-D.;Han Y.;Li H.-J.;...

通讯作者：

Lin, Q.-H.

作者机构：

[Zhang C.-Y.; Han Y.; Lin Q.-H.; Li W.-X.] School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116024, China

[Kuang L.-D.] School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha, 410114, China

[Li H.-J.] School of Biomedical Engineering, Dalian University of Technology, Dalian, 116024, China

[Calhoun V.D.] Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, United States

通讯机构：

[Lin, Q.-H.] S

School of Information and Communication Engineering, China

语种：

英文

关键词：

fMRI data;Hilbert-Huang transform spectrum;Independent vector analysis;Schizophrenia;Time-frequency analysis

期刊：

Communications in Computer and Information Science

ISSN：

1865-0929

年：

2021

卷：

1517 CCIS

页码：

299-306

会议名称：

28th International Conference on Neural Information Processing, ICONIP 2021

会议时间：

8 December 2021 through 12 December 2021

主编：

Mantoro T.Lee M.Ayu M.A.Wong K.W.Hidayanto A.N.

出版者：

Springer Science and Business Media Deutschland GmbH

ISBN：

9783030923099

DOI：

10.1007/978-3-030-92310-5_35

基金类别：

Acknowledgement. This work was supported in part by the National Natural Science Foundation of China under Grants 61871067, 61901061, 81601484; in part by the NSF under Grants 1539067, 0840895, 1539067, and 0715022, in part by NIH Grants R01MH104680, R01MH107354, R01EB005846, and R01MH117107, in part by the Fundamental Research Funds for the Central Universities, China, under Grant DUT20ZD220, and in part by the Supercomputing Center of Dalian University of Technology.

机构署名：

本校为其他机构

院系归属：

计算机与通信工程学院

摘要：

Hilbert-Huang transform (HHT) can reveal abnormal activations impacted by mental disorders from regions of interest (ROIs) based functional magnetic resonance imaging (fMRI) data with high temporal and frequency resolutions. However, this advantage has not been extended to the time courses extracted by data-driven methods such as independent vector analysis (IVA) from fMRI data. This study explores HHT to analyze IVA separated time courses and improves HHT via multiplying the HHT spectrum with the marginal HHT spectrum (named as marginal spectr...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Marginal Spectrum Modulated Hilbert-Huang Transform: Application toTime Courses Extracted byIndependent Vector Analysis ofResting-State fMRI Data

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问