NDLI: The effect of scan length on the reliability of resting-state fMRI connectivity estimates

Content Provider	PubMed Central
Author	Birn, Rasmus M. Molloy, Erin K. Patriat, Rémi Parker, Taurean Meier, Timothy B. Kirk, Gregory R. Nair, Veena A. Elizabeth, Meyerand M. Prabhakaran, Vivek
Copyright Year	2013
Abstract	There has been an increasing use of functional magnetic resonance imaging (fMRI) by the neuroscience community to examine differences in functional connectivity between normal control groups and populations of interest. Understanding the reliability of these functional connections is essential to the study of neurological development and degenerate neuropathological conditions. To date, most research assessing the reliability with which resting-state functional connectivity characterizes the brain’s functional networks has been on scans between 3 and 11 min in length. In our present study, we examine the test–retest reliability and similarity of resting-state functional connectivity for scans ranging in length from 3 to 27 min as well as for time series acquired during the same length of time but excluding half the time points via sampling every second image. Our results show that reliability and similarity can be greatly improved by increasing the scan lengths from 5 min up to 13 min, and that both the increase in the number of volumes as well as the increase in the length of time over which these volumes was acquired drove this increase in reliability. This improvement in reliability due to scan length is much greater for scans acquired during the same session. Gains in intersession reliability began to diminish after 9–12 min, while improvements in intrasession reliability plateaued around 12–16 min. Consequently, new techniques that improve reliability across sessions will be important for the interpretation of longitudinal fMRI studies.
Related Links	http://dx.doi.org/10.1016/j.neuroimage.2013.05.099
Ending Page	558
Page Count	9
Starting Page	550
File Format	PDF
ISSN	10538119
e-ISSN	10959572
Journal	NeuroImage
Volume Number	83
Language	English
Publisher Date	2013-12-01
Access Restriction	Open
Subject Keyword	Cognitive Neuroscience Neurology Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Neurology Cognitive Neuroscience

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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