NDLI: Short-term episodic memory encoding in the human brain: a MEG and EEG study

Content Provider	IEEE Xplore Digital Library
Author	Gjini, K. Maeno, T. Iramina, K. Ueno, S.
Copyright Year	1965
Abstract	Short-term memory encoding of visual patterns in the human brain refers to the formation of neural codes which can be used further in a wide range of working memory processes. In our present study reported in this paper, multichannel whole-head magnetoencephalogram and electroencephalogram were recorded from human subjects during performance of continuous 1-back comparison short-term memory tasks with pictorial stimuli. Estimation of the temporal dynamics of this process and source localization of the involved brain cortical generators was based on distributed inverse algorithms applied to the computed visual event-related fields (ERFs) and potentials (ERPs). The major time-domain electromagnetic responses related to the short-term episodic memory encoding of the presented single stimuli were estimated to start 300 ms after stimulus onset and continued until the disappearance of the stimuli. Source estimation showed a significant activation in the left inferior medial temporal lobe related to intentional encoding processes.
Sponsorship	IEEE Magnetics Society
Starting Page	4149
Ending Page	4151
Page Count	3
File Size	512254
File Format	PDF
ISSN	00189464
Volume Number	41
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Encoding Humans Electroencephalography Biomedical imaging Time domain analysis Magnetic materials Delay Biomedical engineering Distributed computing Enterprise resource planning source estimation Electroencephalography (EEG) episodic encoding magnetoencephalography (MEG)
Content Type	Text
Resource Type	Article
Subject	Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering

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