NDLI: MEG Responses to Speech and Stimuli With Speechlike Modulations

Content Provider	IEEE Xplore Digital Library
Author	Juanjuan Xiang Yadong Wang Simon, J.Z.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD (Juanjuan Xiang)
Abstract	Acoustic signals can be decomposed into the product of an envelope and its fine structure. The envelope features are critical to speech recognition. Results from human behavioral and psychophysical experiments indicate that magnetoencephalography (MEG) responses can significantly phase-lock to the temporal envelope of an auditory stimulus, and speech comprehension is correlated with this phase locking. The goal of this study is to explore the properties of neural response to the speech and stimuli with complex temporal envelopes. Five auditory stimuli with the same envelope, generated from natural speech, and the same stimuli but with the envelope artificially sped up were presented to two subjects. Auditory evoked responses were recorded with a whole-head 160-channel MEG system. Independent component analysis (ICA), principle component analysis (PCA) and equivalent current dipole fitting were performed to separate and identify the neural sources (and artifacts). The result shows that the location, orientation, and strength of the neural sources are robust across all stimuli, with correlation between auditory responses and the temporal envelope of the stimuli. These results provide support for the premise that neurons in the auditory cortex are particularly sensitive to the envelope and can phase-lock to stimuli with complex temporal and spectrotemporal envelopes
Starting Page	33
Ending Page	36
File Size	2136244
Page Count	4
File Format	PDF
ISBN	0780387104
DOI	10.1109/CNE.2005.1419544
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetoencephalography Natural languages Neurons Humans Psychology Independent component analysis Speech recognition Robustness Performance analysis Principal component analysis
Content Type	Text
Resource Type	Article

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