ライブラリ登録: Guest
Begell Digital Portal Begellデジタルライブラリー 電子書籍 ジャーナル 参考文献と会報 リサーチ集
Critical Reviews™ in Biomedical Engineering
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN 印刷: 0278-940X
ISSN オンライン: 1943-619X

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.v33.i4.20
pages 347-430

Causal Influence: Advances in Neurosignal Analysis

Maciej Kaminski
Department of Biomedical Physics, Institute of Experimental Physics, Warsaw University, Warszawa, Poland
Hualou Liang
School of Health Information Sciences, The University of Texas at Houston, Houston, Texas, USA

要約

The analysis of multichannel recordings such as electroencephalography (EEG) and magnetoencephalography (MEG) is important both for basic brain research and for medical diagnosis and treatment. Multivariate linear regressive analysis such as the AutoRegressive (MAR) modeling is an effective means to characterize, with high spatial, temporal, and frequency resolution, functional relations within multichannel neuronal data. Recent advances in MAR modeling show promise for the analysis and visualization of large-scale network interactions, especially in the ability to assess their causal relations. This article provides a detailed review of the advances in the development and application of causal influence measures for analyzing neurosignal within the framework of the MAR spectral analysis. First, we outline mathematical formulations of the MAR model and its related estimation procedures, with emphasis on the development of causal influence measures for analyzing brain circuits. Second, we address the technical issues on the practical applications of the causal measures to the neurobiological data. Of particular interest is the recent development of adapting the MAR to analyze neural spike train data. Third, we present a variety of applications ranging from basic neuroscience research to clinical applications as well as functional neuroimaging. We finally conclude with a brief summary and discuss future research development in this field.


Articles with similar content:

Digital Signal Processing of the Phonocardiogram: Review of the Most Recent Advancements
Critical Reviews™ in Biomedical Engineering, Vol.23, 1995, issue 3-4
Louis-Gilles Durand, Philippe Pibarot
Review: Most Recent Advancements in Digital Signal Processing of the Phonocardiogram
Critical Reviews™ in Biomedical Engineering, Vol.45, 2017, issue 1-6
Louis-Gilles Durand, Philippe Pibarot
Uncovering the Mechanisms of Deep Brain Stimulation for Parkinson's Disease through Functional Imaging, Neural Recording, and Neural Modeling
Critical Reviews™ in Biomedical Engineering, Vol.30, 2002, issue 4-6
Nitish V. Thakor, Cameron C. McIntyre
REDUCED ORDER MODELING FOR NONLINEAR MULTI-COMPONENT MODELS
International Journal for Uncertainty Quantification, Vol.2, 2012, issue 4
Hany S. Abdel-Khalik, Christopher Kennedy, Jason Hite, Youngsuk Bang
Developing a Code of Ethics for Human Cloning
Critical Reviews™ in Biomedical Engineering, Vol.28, 2000, issue 3&4
Jeff Collmann, Glenn Graber