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When Structure Affects Function – The Need for Partial Volume Effect Correction in Functional and Resting State Magnetic Resonance Imaging Studies
by
Dukart, Juergen
, Bertolino, Alessandro
in
Biology and Life Sciences
/ Brain
/ Brain - anatomy & histology
/ Brain - physiology
/ Correlation analysis
/ Functional anatomy
/ Humans
/ Image processing
/ Magnetic resonance
/ Magnetic resonance imaging
/ Magnetic Resonance Imaging - methods
/ Medicine and Health Sciences
/ Neural networks
/ Neuroimaging
/ Research and Analysis Methods
/ Resonance
/ Structure-function relationships
2014
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When Structure Affects Function – The Need for Partial Volume Effect Correction in Functional and Resting State Magnetic Resonance Imaging Studies
by
Dukart, Juergen
, Bertolino, Alessandro
in
Biology and Life Sciences
/ Brain
/ Brain - anatomy & histology
/ Brain - physiology
/ Correlation analysis
/ Functional anatomy
/ Humans
/ Image processing
/ Magnetic resonance
/ Magnetic resonance imaging
/ Magnetic Resonance Imaging - methods
/ Medicine and Health Sciences
/ Neural networks
/ Neuroimaging
/ Research and Analysis Methods
/ Resonance
/ Structure-function relationships
2014
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Do you wish to request the book?
When Structure Affects Function – The Need for Partial Volume Effect Correction in Functional and Resting State Magnetic Resonance Imaging Studies
by
Dukart, Juergen
, Bertolino, Alessandro
in
Biology and Life Sciences
/ Brain
/ Brain - anatomy & histology
/ Brain - physiology
/ Correlation analysis
/ Functional anatomy
/ Humans
/ Image processing
/ Magnetic resonance
/ Magnetic resonance imaging
/ Magnetic Resonance Imaging - methods
/ Medicine and Health Sciences
/ Neural networks
/ Neuroimaging
/ Research and Analysis Methods
/ Resonance
/ Structure-function relationships
2014
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When Structure Affects Function – The Need for Partial Volume Effect Correction in Functional and Resting State Magnetic Resonance Imaging Studies
Journal Article
When Structure Affects Function – The Need for Partial Volume Effect Correction in Functional and Resting State Magnetic Resonance Imaging Studies
2014
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Overview
Both functional and also more recently resting state magnetic resonance imaging have become established tools to investigate functional brain networks. Most studies use these tools to compare different populations without controlling for potential differences in underlying brain structure which might affect the functional measurements of interest. Here, we adapt a simulation approach combined with evaluation of real resting state magnetic resonance imaging data to investigate the potential impact of partial volume effects on established functional and resting state magnetic resonance imaging analyses. We demonstrate that differences in the underlying structure lead to a significant increase in detected functional differences in both types of analyses. Largest increases in functional differences are observed for highest signal-to-noise ratios and when signal with the lowest amount of partial volume effects is compared to any other partial volume effect constellation. In real data, structural information explains about 25% of within-subject variance observed in degree centrality--an established resting state connectivity measurement. Controlling this measurement for structural information can substantially alter correlational maps obtained in group analyses. Our results question current approaches of evaluating these measurements in diseased population with known structural changes without controlling for potential differences in these measurements.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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