Functional Magnetic Resonance Imaging for Imaging Neural Activity in the Human Brain : The Annual Progress

Joint Authors

Li, Xiao-Li
Chen, Sheng-yong

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

Medicine

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