A shrinkage method for causal network detection of brain regions

被引：2

作者：

Ahmad, Fayyaz ^{[1
]}

Lee, Namgil ^{[2
]}

Kim, Eunwoo ^{[1
]}

Kim, Sung-Ho ^{[2
]}

Park, HyunWook ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Elect Engn, Taejon 305701, South Korea

[2] Korea Adv Inst Sci & Technol, Dept Math Sci, Taejon 305701, South Korea

来源：

INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY | 2013年 / 23卷 / 02期

基金：

新加坡国家研究基金会;

关键词：

fMRI; regions of interest; VAR model; shrinkage; partial correlation; GRANGER CAUSALITY; DECISION-MAKING; TIME-SERIES; FUNCTIONAL CONNECTIVITY; CORTICAL INTERACTIONS; NEURAL SYSTEMS; PATH DIAGRAMS; FMRI DATA; MODELS; IDENTIFICATION;

D O I：

10.1002/ima.22047

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present a computationally as well as statistically efficient method of inferring causal networks for the brain regions. It is based on James-Stein-type shrinkage estimation of covariance matrix, suggested by (Opgen-Rhein and Strimmer, BMC Syst Biol 1 (), 37-40), among different brain regions of interest of the functional magnetic resonance imaging (fMRI) experiment, that enhance the accuracy of vector autoregressive (VAR) model coefficient estimates. We have shown that this approach is well suited for the small number of samples in time and large number of brain regions encountered in real fMRI experiments of seventeen healthy individuals. (c) 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 140146, 2013

引用

页码：140 / 146

页数：7

共 50 条

[1] An efficient method for effective connectivity of brain regions [J].

Ahmad, Fayyaz ;

Maqbool, M. ;

Kim, Eunwoo ;

Park, Hyunwook ;

Kim, Dae-Shik .

CONCEPTS IN MAGNETIC RESONANCE PART A, 2012, 40A (01) :14-24

[2] Intention, Action Planning, and Decision Making in Parietal-Frontal Circuits [J].

Andersen, Richard A. ;

Cui, He .

NEURON, 2009, 63 (05) :568-583

[3]

Bollen K. A., 1989, STRUCTURAL EQUATIONS, P45

[4] IDENTIFICATION OF SYNAPTIC INTERACTIONS [J].

BRILLINGER, DR ;

BRYANT, HL ;

SEGUNDO, JP .

BIOLOGICAL CYBERNETICS, 1976, 22 (04) :213-228

[5] Modulation of connectivity in visual pathways by attention: Cortical interactions evaluated with structural equation modelling and fMRI [J].

Buchel, C ;

Friston, KJ .

CEREBRAL CORTEX, 1997, 7 (08) :768-778

[6] Brain Connectivity Workshop, Cambridge UK, May 2003 [J].

Bullmore, ET ;

Harrison, L ;

Lee, L ;

Mechelli, A ;

Friston, KJ .

NEUROINFORMATICS, 2004, 2 (02) :123-125

[7] How good is good enough in path analysis of fMRI data? [J].

Bullmore, ET ;

Horwitz, B ;

Honey, G ;

Brammer, M ;

Williams, S ;

Sharma, T .

NEUROIMAGE, 2000, 11 (04) :289-301

[8] Identification of synaptic connections in neural ensembles by graphical models [J].

Dahlhaus, R ;

Eichler, M ;

Sandkuhler, J .

JOURNAL OF NEUROSCIENCE METHODS, 1997, 77 (01) :93-107

[9]

Dahlhaus R, 1997, ANN STAT, V25, P1

[10] Identifying Neural Drivers with Functional MRI: An Electrophysiological Validation [J].

David, Olivier ;

Guillemain, Isabelle ;

Saillet, Sandrine ;

Reyt, Sebastien ;

Deransart, Colin ;

Segebarth, Christoph ;

Depaulis, Antoine .

PLOS BIOLOGY, 2008, 6 (12) :2683-2697

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