DocumentCode :
1489292
Title :
Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities
Author :
He, Bin ; Yang, Lin ; Wilke, Christopher ; Yuan, Han
Author_Institution :
Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
Volume :
58
Issue :
7
fYear :
2011
fDate :
7/1/2011 12:00:00 AM
Firstpage :
1918
Lastpage :
1931
Abstract :
Unlocking the dynamic inner workings of the brain continues to remain a grand challenge of the 21st century. To this end, functional neuroimaging modalities represent an outstanding approach to better understand the mechanisms of both normal and abnormal brain functions. The ability to image brain function with ever increasing spatial and temporal resolution has made a significant leap over the past several decades. Further delineation of functional networks could lead to improved understanding of brain function in both normal and diseased states. This paper reviews recent advancements and current challenges in dynamic functional neuroimaging techniques, including electrophysiological source imaging, multimodal neuroimaging integrating fMRI with EEG/MEG, and functional connectivity imaging.
Keywords :
bioelectric phenomena; biomedical MRI; diseases; electroencephalography; magnetoencephalography; neurophysiology; EEG; MEG; abnormal brain functions; brain activity; diseased states; dynamic functional neuroimaging techniques; electrophysiological source imaging; functional connectivity imaging; multimodal neuroimaging integrating fMRI; normal brain functions; Brain models; Electroencephalography; Head; Imaging; Spatial resolution; Electroencephalography (EEG); electrophysiological imaging; functional connectivity; functional magnetic resonance imaging (fMRI); magnetoencephalography (MEG); source imaging; Brain; Brain Mapping; Electroencephalography; Humans; Magnetic Resonance Imaging; Magnetoencephalography; Nerve Net;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2011.2139210
Filename :
5742982
Link To Document :
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