Reproducibility analysis in sensorimotor and language tasks: implications for clinical functional magnetic resonance imaging.
In clinical functional magnetic resonance imaging (fMRI), p-value thresholds are typically applied to activation maps to investigate activation intensity. Problems with this methodology include: 1) averaging conceals richness of data, 2) appropriate p-values, 3) emphasis on small p-values, and 4)...
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sg-ntu-dr.10356-387672019-12-10T13:21:51Z Reproducibility analysis in sensorimotor and language tasks: implications for clinical functional magnetic resonance imaging. Law, Amos Li Xiong. School of Humanities and Social Sciences Chen Shen Hsing, Annabel DRNTU::Social sciences::Psychology::Psychological testing In clinical functional magnetic resonance imaging (fMRI), p-value thresholds are typically applied to activation maps to investigate activation intensity. Problems with this methodology include: 1) averaging conceals richness of data, 2) appropriate p-values, 3) emphasis on small p-values, and 4) moderately activated functional regions cannot surpass rigorous p-value thresholds. Similar challenges arise when applying clinical fMRI to evaluate a single patient, in addition to a lack of normative standards for comparison. We propose using reproducibility analysis (RA) with the thresholding method to provide an added dimension of information: reliability of a brain region’s activation over time. We found that sensorimotor tasks involving primary cortical areas produced more robust and reproducible activations than language tasks involving higher cognition and association cortex. Bachelor of Arts 2010-05-18T06:51:34Z 2010-05-18T06:51:34Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/38767 en Nanyang Technological University 38 p. application/pdf |
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DRNTU::Social sciences::Psychology::Psychological testing Law, Amos Li Xiong. Reproducibility analysis in sensorimotor and language tasks: implications for clinical functional magnetic resonance imaging. |
description |
In clinical functional magnetic resonance imaging (fMRI), p-value thresholds are typically
applied to activation maps to investigate activation intensity. Problems with this methodology
include: 1) averaging conceals richness of data, 2) appropriate p-values, 3) emphasis on small
p-values, and 4) moderately activated functional regions cannot surpass rigorous p-value
thresholds. Similar challenges arise when applying clinical fMRI to evaluate a single patient,
in addition to a lack of normative standards for comparison. We propose using reproducibility
analysis (RA) with the thresholding method to provide an added dimension of information:
reliability of a brain region’s activation over time. We found that sensorimotor tasks
involving primary cortical areas produced more robust and reproducible activations than
language tasks involving higher cognition and association cortex. |
author2 |
School of Humanities and Social Sciences |
author_facet |
School of Humanities and Social Sciences Law, Amos Li Xiong. |
format |
Final Year Project |
author |
Law, Amos Li Xiong. |
author_sort |
Law, Amos Li Xiong. |
title |
Reproducibility analysis in sensorimotor and language tasks: implications for clinical functional magnetic resonance imaging. |
title_short |
Reproducibility analysis in sensorimotor and language tasks: implications for clinical functional magnetic resonance imaging. |
title_full |
Reproducibility analysis in sensorimotor and language tasks: implications for clinical functional magnetic resonance imaging. |
title_fullStr |
Reproducibility analysis in sensorimotor and language tasks: implications for clinical functional magnetic resonance imaging. |
title_full_unstemmed |
Reproducibility analysis in sensorimotor and language tasks: implications for clinical functional magnetic resonance imaging. |
title_sort |
reproducibility analysis in sensorimotor and language tasks: implications for clinical functional magnetic resonance imaging. |
publishDate |
2010 |
url |
http://hdl.handle.net/10356/38767 |
_version_ |
1681047760945545216 |