NDLI: Spectra of infant EEG within the first year of life: A pilot study

Content Provider	IEEE Xplore Digital Library
Author	Ran Xiao Xiao Qi Fagg, A.H. Kolobe, T.H.A. Miller, D.P. Lei Ding
Copyright Year	2015
Description	Author affiliation: Dept. of Rehabilitation Sci., Univ. of Oklahoma Health Sci. Center, Oklahoma City, OK, USA (Kolobe, T.H.A.) \|\| Sch. of Comput. Sci. & Center for Biomed. Eng., Univ. of Oklahoma, Norman, OK, USA (Fagg, A.H.) \|\| Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA (Ran Xiao; Xiao Qi) \|\| Center for Biomed. Eng., Univ. of Oklahoma, Norman, OK, USA (Miller, D.P.; Lei Ding)
Abstract	Rhythmic activities in electroencephalography (EEG) have been extensively studied in adults and classic rhythms are found to correlate with specific human brain functions. However, less has been investigated in infant EEG, and EEG rhythms in infants at early ages have not been well characterized in terms of their frequency ranges. In the present pilot study, we investigated rhythmic activities in infant EEG recorded weekly from 4-8 months using high-density EEG sensor nets. The developmental changes of EEG rhythms in different frequency bands along maturation were evaluated through spectral analysis. Their longitudinal scalp maps were also studied to understand their plausible functional correlates. The present study aims to enrich the sparse knowledge about the developing patterns of EEG rhythms within the first year of life from EEG recordings of high temporal and spatial resolutions.
Starting Page	4753
Ending Page	4756
File Size	857678
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7319456
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Density measurement Power system measurements Scalp Surfaces Spatial resolution Spectral analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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