NDLI: Cortical functional connectivity under different auditory attentional efforts

Content Provider	IEEE Xplore Digital Library
Author	Xiangfei Hong Shanbao Tong
Copyright Year	2012
Description	Author affiliation: Med-X Res. Inst., Shanghai Jiao Tong Univ., Shanghai, China (Shanbao Tong) \|\| Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China (Xiangfei Hong)
Abstract	Auditory attentional effort (AAE) could be tuned to different levels in a top-down manner, while its neural correlates are still poorly understood. In this paper, we investigate the cortical connectivity under different levels of AAE. Multichannel EEG signals were recorded from nine subjects (male/female=6=3) in an auditory discrimination task under low or high AAE. Behavioral results showed that subjects paid more attention under high AAE and detected the probe stimuli better than low AAE. Partial directed coherence (PDC) was used to study the cortical functional connectivity within the first 300 ms post-stimulus period which includes the N100 and P200 components in the event-related potential (ERP). Majority of the cortical connections were strengthened with the increase of AAE. The right hemispheric dominance of connectivity in maintaining auditory attention was found under low AAE, which disappeared when the AAE was increased, indicating that the right hemispheric dominance previously reported might be due to a relatively lower AAE. Besides, most cortical connections under high AAE were found to be from the parietal cortex to the prefrontal cortex, which suggested the initiative role of parietal cortex in maintaining a high AAE.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	6196
Ending Page	6199
File Size	322813
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347409
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Probes Electroencephalography Standards Brain modeling Coherence Humans Visualization
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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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