Functional magnetic resonance imaging for imaging neural activity in the human brain: the annual progress
type: Item
instance of: scholarly article
title: Functional magnetic resonance imaging for imaging neural activity in the human brain: the annual progress
zbMATH Open document ID: 1234.92043
DOI: 10.1155/2012/613465
published in: Computational \& Mathematical Methods in Medicine
publication date: 2012-03-13T00:00:00Z
review text: Summary: Functional magnetic resonance imaging (fMRI) is recently developed and applied to measure the hemodynamic response related to neural activity. The fMRI can not only non-invasively record brain signals without risks of ionising radiation inherent in other scanning methods, such as CT or PET scans, but also record signals 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 models, nonlinear models, generative models, spatial pattern analysis, statistical analysis, correlation analysis, and multimodal combination. This paper provides readers the most recent representative contributions in the area.
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6014138
Wikidata QID: Q34154531
author: Sheng-Yong Chen
author: Xiaoli Li
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/613465
OpenAlex ID: W2161863646
description: scientific article; zbMATH DE number 6014138