Correntropy coefficient analysis of fMRI using reference model
A non-invasive functional MRI (fMRI) has emerged effective in the investigation of the functionality of human brain. However, detection of functional activation is often complicated by the presence of noise. In this paper, we propose an approach based on correntropy, a recently introduced measure wh...
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Format: | Conference Paper |
Language: | English |
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2013
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Online Access: | https://hdl.handle.net/10356/84645 http://hdl.handle.net/10220/11799 |
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author | Maheshwari, Harish Kumar. Siyal, Muhammad Yakoob. |
author2 | School of Electrical and Electronic Engineering |
author_facet | School of Electrical and Electronic Engineering Maheshwari, Harish Kumar. Siyal, Muhammad Yakoob. |
author_sort | Maheshwari, Harish Kumar. |
collection | NTU |
description | A non-invasive functional MRI (fMRI) has emerged effective in the investigation of the functionality of human brain. However, detection of functional activation is often complicated by the presence of noise. In this paper, we propose an approach based on correntropy, a recently introduced measure which incorporates both amplitude and temporal structure characteristics of time series in single functional measure. Using correntropy coefficient as the test statistic, nonparametric approach is carried out via pre-whitening resampling transform to calculate the statistical p-values. Experimental results suggest that proposed method enables more effective brain activation detection compared with mutual information. |
first_indexed | 2024-10-01T03:59:39Z |
format | Conference Paper |
id | ntu-10356/84645 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T03:59:39Z |
publishDate | 2013 |
record_format | dspace |
spelling | ntu-10356/846452020-03-07T13:24:44Z Correntropy coefficient analysis of fMRI using reference model Maheshwari, Harish Kumar. Siyal, Muhammad Yakoob. School of Electrical and Electronic Engineering International Conference on Control Automation Robotics & Vision (12th : 2012 : Guangzhou, China) DRNTU::Engineering::Electrical and electronic engineering A non-invasive functional MRI (fMRI) has emerged effective in the investigation of the functionality of human brain. However, detection of functional activation is often complicated by the presence of noise. In this paper, we propose an approach based on correntropy, a recently introduced measure which incorporates both amplitude and temporal structure characteristics of time series in single functional measure. Using correntropy coefficient as the test statistic, nonparametric approach is carried out via pre-whitening resampling transform to calculate the statistical p-values. Experimental results suggest that proposed method enables more effective brain activation detection compared with mutual information. 2013-07-18T01:08:29Z 2019-12-06T15:48:53Z 2013-07-18T01:08:29Z 2019-12-06T15:48:53Z 2012 2012 Conference Paper Maheshwari, H. K., & Siyal, M. Y. (2012). Correntropy coefficient analysis of fMRI using reference model. 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 396-400. https://hdl.handle.net/10356/84645 http://hdl.handle.net/10220/11799 10.1109/ICARCV.2012.6485191 en © 2012 IEEE. |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Maheshwari, Harish Kumar. Siyal, Muhammad Yakoob. Correntropy coefficient analysis of fMRI using reference model |
title | Correntropy coefficient analysis of fMRI using reference model |
title_full | Correntropy coefficient analysis of fMRI using reference model |
title_fullStr | Correntropy coefficient analysis of fMRI using reference model |
title_full_unstemmed | Correntropy coefficient analysis of fMRI using reference model |
title_short | Correntropy coefficient analysis of fMRI using reference model |
title_sort | correntropy coefficient analysis of fmri using reference model |
topic | DRNTU::Engineering::Electrical and electronic engineering |
url | https://hdl.handle.net/10356/84645 http://hdl.handle.net/10220/11799 |
work_keys_str_mv | AT maheshwariharishkumar correntropycoefficientanalysisoffmriusingreferencemodel AT siyalmuhammadyakoob correntropycoefficientanalysisoffmriusingreferencemodel |