NDLI: Time-frequency characterization of mismatch negativity in nociceptive responses

Content Provider	IEEE Xplore Digital Library
Author	Melia, U.S.P. Vallverdu, M. Claria, F. Casanova, J. Valls-Sole, J. Caminal, P.
Copyright Year	2011
Description	Author affiliation: Dept. ESAII, Centre for Biomedical Engineering Research, Universitat Politècnica de Catalunya, CIBER of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain (Melia, U.S.P.; Vallverdu, M.; Caminal, P.) \|\| Dept. IIE, Lleida University, Spain (Claria, F.) \|\| Dept. of Neurology, Hospital Clínic, IDIBAPS (Institut d'Investigació Augustí Pi i Sunyer), University of Barcelona, Barcelona, Spain (Casanova, J.; Valls-Sole, J.)
Abstract	An efficient way to investigate the neural basis of nociceptive responses is the event-related brain potentials (ERPs). One component belonging to this family of ERPs is the mismatch negativity (MMN). It reflects pre-attentive detection of changes in the incoming stimulus by comparing the new stimulus with sensory memory traces. In this work, single trials of ERP taken from EEG signal recorded under thermal and electric stimulation were analyzed with time-frequency representation (TFR). The main objective of this work was to characterize responses to frequent and infrequent stimuli with TFR functions. Variables defined on instantaneous frequency and instantaneous power presented a statistical significance (p-value<0.0001) differentiating these two kind of responses. Furthermore, differences between the averaged instantaneous power and instantaneous frequency were also analyzed. It was found that instantaneous power and instantaneous frequency were able to better isolate the MMN components from EEG noise in certain frequency bands.
Starting Page	7719
Ending Page	7722
File Size	838474
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6091902
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Time frequency analysis Hafnium Noise Thermal analysis Thumb
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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