Multiscale analysis of FMRI data with mixture of Gaussian densities

被引：0

作者：

Meyer, FG ^{[1
]}

Shen, XL ^{[1
]}

机构：

[1] Univ Colorado, Dept Elect Engn, Boulder, CO 80309 USA

来源：

2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 AND 2 | 2004年

关键词：

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We describe in this work an exploratory analysis of fMRI data. We regard the fMRI dataset as a set of spatiotemporal signals s(x) indexed by their position x. ne analysis is performed on the wavelet packet coefficients of the fMRI signals s(x), and we show that we can characterize the coefficients in terms of a mixture model of multivariate Gaussian distributions.

引用

页码：1175 / 1178

页数：4

共 50 条

[1] Gaussian mixture densities for classification of nuclear power plant data
Bengio, Y
Gingras, F
Goulard, B
Lina, JM
Scott, K
[J]. COMPUTERS AND ARTIFICIAL INTELLIGENCE, 1998, 17 (2-3): : 189 - 209
[2] Parameterized joint densities with gaussian and gaussian mixture marginals
Sawo, Felix
Brunn, Dietrich
Hanebeck, Uwe D.
[J]. 2006 9TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4, 2006, : 890 - 897
[3] Multiscale Gaussian convolution algorithm for estimate of Gaussian mixture model
Xia, Rui
Zhang, Qiuyue
Deng, Xiaoyan
[J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2019, 48 (23) : 5889 - 5910
[4] Dirac Mixture Approximation of Multivariate Gaussian Densities
Hanebeck, Uwe D.
Huber, Marco F.
Klumpp, Vesa
[J]. PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 3851 - 3858
[5] Gaussian Mixture Model-based noise reduction in resting state fMRI data
Garg, Gaurav
Prasad, Girijesh
Coyle, Damien
[J]. JOURNAL OF NEUROSCIENCE METHODS, 2013, 215 (01) : 71 - 77
[6] Non-Gaussian Penalized PARAFAC Analysis for fMRI Data
Liang, Jingsai
Zou, Jiancheng
Hong, Don
[J]. FRONTIERS IN APPLIED MATHEMATICS AND STATISTICS, 2019, 5
[7] Multiscale fragile watermarking based on the Gaussian mixture model
Yuan, Hua
Zhang, Xiao-Ping
[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2006, 15 (10) : 3189 - 3200
[8] A multiscale analysis of the temporal characteristics of resting-state fMRI data
Park, Cheolwoo
Lazar, Nicole A.
Ahn, Jeongyoun
Sornborger, Andrew
[J]. JOURNAL OF NEUROSCIENCE METHODS, 2010, 193 (02) : 334 - 342
[9] Mixture Gaussian process model with Gaussian mixture distribution for big data
Guan, Yaonan
He, Shaoying
Ren, Shuangshuang
Liu, Shuren
Li, Dewei
[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2024, 253
[10] Spatial mixture modeling of fMRI data
Hartvig, NV
Jensen, JL
[J]. HUMAN BRAIN MAPPING, 2000, 11 (04) : 233 - 248

← 1 2 3 4 5 →