Functional Magnetic Resonance Imaging for Imaging Neural Activity in the Human Brain : The Annual Progress
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Functional magnetic resonance imaging (fMRI) is recently developed and applied to measure the hemodynamic response related to neural activity.
The fMRI can not only noninvasively record brain signals without risks of ionising radiation inherent in other scanning methods, such as CT or PET scans, but also record signal from all regions of the brain, unlike EEG/MEG which are biased towards the cortical surface.
This paper introduces the fundamental principles and summarizes the research progress of the last year for imaging neural activity in the human brain.
Aims of functional analysis of neural activity from fMRI include biological findings, functional connectivity, vision and hearing research, emotional research, neurosurgical planning, pain management, and many others.
Besides formulations and basic processing methods, models and strategies of processing technology are introduced, including general linear model, nonlinear model, generative model, spatial pattern analysis, statistical analysis, correlation analysis, and multimodal combination.
This paper provides readers the most recent representative contributions in the area.
American Psychological Association (APA)
Chen, Sheng-yong& Li, Xiao-Li. 2012. Functional Magnetic Resonance Imaging for Imaging Neural Activity in the Human Brain : The Annual Progress. Computational and Mathematical Methods in Medicine،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-485142
Modern Language Association (MLA)
Chen, Sheng-yong& Li, Xiao-Li. Functional Magnetic Resonance Imaging for Imaging Neural Activity in the Human Brain : The Annual Progress. Computational and Mathematical Methods in Medicine No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-485142
American Medical Association (AMA)
Chen, Sheng-yong& Li, Xiao-Li. Functional Magnetic Resonance Imaging for Imaging Neural Activity in the Human Brain : The Annual Progress. Computational and Mathematical Methods in Medicine. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-485142
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-485142