NDLI: A performance study of various brain source imaging approaches

Content Provider	IEEE Xplore Digital Library
Author	Becker, H. Albera, L. Comon, P. Gribonval, R. Wendling, F. Merlet, I.
Copyright Year	2014
Description	Author affiliation: Centre Inria Rennes, INRIA, Bretagne Atlantique, France (Gribonval, R.) \|\| INSERM, Rennes, France (Albera, L.; Wendling, F.; Merlet, I.) \|\| GIPSA-Lab., St. Martin d'Heres, France (Comon, P.) \|\| I3S, Univ. Nice Sophia Antipolis, Sophia Antipolis, France (Becker, H.)
Abstract	The objective of brain source imaging consists in reconstructing the cerebral activity everywhere within the brain based on EEG or MEG measurements recorded on the scalp. This requires solving an ill-posed linear inverse problem. In order to restore identifiability, additional hypotheses need to be imposed on the source distribution, giving rise to an impressive number of brain source imaging algorithms. However, a thorough comparison of different methodologies is still missing in the literature. In this paper, we provide an overview of priors that have been used for brain source imaging and conduct a comparative simulation study with seven representative algorithms corresponding to the classes of minimum norm, sparse, tensor-based, subspace-based, and Bayesian approaches. This permits us to identify new benchmark algorithms and promising directions for future research.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	5869
Ending Page	5873
File Size	698131
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6854729
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Imaging Electroencephalography Brain modeling Image reconstruction Bayes methods Noise Surface reconstruction priors EEG MEG inverse problem source localization
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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