Cited by 875Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

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

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Birn, Rasmus M., Molloy, Erin K., Patriat, Rémi, Parker, Taurean, Meier, Timothy B., Kirk, Gregory R., Nair, Veena A., Meyerand, M. Elizabeth, Prabhakaran, Vivek·2013·NeuroImage

DOI 10.1016/j.neuroimage.2013.05.099PMC PMC4104183

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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.

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Authors: Birn, R. M., Molloy, E. K., Patriat, R., Parker, T., Meier, T. B., Kirk, G. R., Nair, V. A., Meyerand, M. E., & Prabhakaran, V.
Affiliations: University of Wisconsin–Madison (US)
University of Rochester (US)
Corresponding author: Birn, Rasmus M.
ORCID: Birn, Rasmus M.
Molloy, Erin K.
Patriat, Rémi
Meier, Timothy B.
Nair, Veena A.
Meyerand, M. Elizabeth
Prabhakaran, Vivek
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2013-12
Volume: 83
Pages: 550-558
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2013.05.099
PMC: PMC4104183
OpenAlex: W2084892943
Cited by: 875
References: 40
Citations by year: 2026: 81 · 2025: 93 · 2024: 72 · 2023: 91 · 2022: 77 · 2021: 101 · 2020: 82 · 2019: 59 · 2018: 62 · 2017: 48 · 2016: 43 · 2015: 40 · 2014: 22 · 2013: 3
FWCI: 19.39
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Europe PMC (PubMed Central) (acceptedVersion)
PubMed Central (acceptedVersion)
Funders: NIH (RC1MH090912)
Health Emotions Research Institute
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords: resting-state functional connectivity, scan length, test-retest reliability, inter-session reliability, within-session reliability, time series length, sampling frequency, longitudinal fMRI, functional brain networks
MeSH terms: Adult, Brain, Brain Mapping, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Rest, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Reproducibility of Results, Information Storage and Retrieval, Sample Size, Connectome

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

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