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Functional brain networks that respond to task difficulty in working memory studies Zahid, Hafsa B.
Abstract
Working memory plays a key role in a person’s ability for interactions, reasoning and decision making. People who suffer from working memory deficiencies can struggle in their day to day life. In order to develop treatment options that target the regions of the brain responsible for the deficiency, functional brain networks that respond to task difficulty in working memory must be found. In this investigation, an extension to the Constrained Principal Component Analysis for fMRI (fMRI-CPCA) program was explored, to include information about the difficulty of a task before extracting relevant networks. A linear load dependence hypothesis was applied. Two working memory studies were analysed, and the functional brain networks, as well as load dependence over time, are reported. Both studies showed finer network decomposition than using task timing information alone. Specifically, the Internal Attention Network was separated out in this analysis, where previously task-merging was required to extract it. In the future, nonlinear load dependence hypotheses, as well as networks that respond to task timing but not to difficulty, should be investigated.
Item Metadata
Title |
Functional brain networks that respond to task difficulty in working memory studies
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Creator | |
Date Issued |
2020-04
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Description |
Working memory plays a key role in a person’s ability for interactions, reasoning
and decision making. People who suffer from working memory deficiencies can
struggle in their day to day life. In order to develop treatment options that target
the regions of the brain responsible for the deficiency, functional brain networks
that respond to task difficulty in working memory must be found. In this investigation, an extension to the Constrained Principal Component Analysis for fMRI
(fMRI-CPCA) program was explored, to include information about the difficulty
of a task before extracting relevant networks. A linear load dependence hypothesis
was applied. Two working memory studies were analysed, and the functional brain
networks, as well as load dependence over time, are reported. Both studies showed
finer network decomposition than using task timing information alone. Specifically, the Internal Attention Network was separated out in this analysis, where
previously task-merging was required to extract it. In the future, nonlinear load
dependence hypotheses, as well as networks that respond to task timing but not to
difficulty, should be investigated.
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Genre | |
Type | |
Language |
eng
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Series | |
Date Available |
2021-10-26
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0402621
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Undergraduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International