"Impact of ICA Dimensionality on the Test-Retest Reliability of Resting-State Functional Connectivity

2021 ◽  
Author(s):  
Yizhou Ma ◽  
Angus MacDonald
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Retest Reliability ◽  
Test Retest Reliability

scholarly journals The Influence of Physiological Noise Correction on Test–Retest Reliability of Resting-State Functional Connectivity

2014 ◽  
Vol 4 (7) ◽  
pp. 511-522 ◽  
Author(s):  
Rasmus M. Birn ◽  
Maria Daniela Cornejo ◽  
Erin K. Molloy ◽  
Rémi Patriat ◽  
Timothy B. Meier ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Resting State Functional Connectivity ◽  
Physiological Noise ◽  
Retest Reliability ◽  
Noise Correction ◽  
Test Retest Reliability

scholarly journals Evaluating the sensitivity of functional connectivity measures to motion artifact in resting-state fMRI data

2020 ◽  
Author(s):  
Arun S. Mahadevan ◽  
Ursula A. Tooley ◽  
Maxwell A. Bertolero ◽  
Allyson P. Mackey ◽  
Danielle S. Bassett
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Partial Correlation ◽  
Motion Artifact ◽  
Resting State Fmri ◽  
Alternative Methods ◽  
Fmri Data ◽  
Retest Reliability ◽  
Human Connectome Project ◽  
Test Retest Reliability

AbstractFunctional connectivity (FC) networks are typically inferred from resting-state fMRI data using the Pearson correlation between BOLD time series from pairs of brain regions. However, alternative methods of estimating functional connectivity have not been systematically tested for their sensitivity or robustness to head motion artifact. Here, we evaluate the sensitivity of six different functional connectivity measures to motion artifact using resting-state data from the Human Connectome Project. We report that FC estimated using full correlation has a relatively high residual distance-dependent relationship with motion compared to partial correlation, coherence and information theory-based measures, even after implementing rigorous methods for motion artifact mitigation. This disadvantage of full correlation, however, may be offset by higher test-retest reliability and system identifiability. FC estimated by partial correlation offers the best of both worlds, with low sensitivity to motion artifact and intermediate system identifiability, with the caveat of low test-retest reliability. We highlight spatial differences in the sub-networks affected by motion with different FC metrics. Further, we report that intra-network edges in the default mode and retrosplenial temporal sub-networks are highly correlated with motion in all FC methods. Our findings indicate that the method of estimating functional connectivity is an important consideration in resting-state fMRI studies and must be chosen carefully based on the parameters of the study.

scholarly journals Age-Related Differences in Test-Retest Reliability in Resting-State Brain Functional Connectivity

PLoS ONE ◽  
2012 ◽  
Vol 7 (12) ◽  
pp. e49847 ◽  
Author(s):  
Jie Song ◽  
Alok S. Desphande ◽  
Timothy B. Meier ◽  
Dana L. Tudorascu ◽  
Svyatoslav Vergun ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Retest Reliability ◽  
Age Related ◽  
Test Retest Reliability ◽  
Brain Functional Connectivity

scholarly journals Heritability analysis with repeat measurements and its application to resting-state functional connectivity

2017 ◽  
Vol 114 (21) ◽  
pp. 5521-5526 ◽  
Author(s):  
Tian Ge ◽  
Avram J. Holmes ◽  
Randy L. Buckner ◽  
Jordan W. Smoller ◽  
Mert R. Sabuncu
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Large Scale ◽  
Resting State Fmri ◽  
Transient Effects ◽  
Resting State Functional Connectivity ◽  
Linear Mixed Effects ◽  
Heritability Analysis ◽  
Test Retest Reliability ◽  
Different Levels

Heritability, defined as the proportion of phenotypic variation attributable to genetic variation, provides important information about the genetic basis of a trait. Existing heritability analysis methods do not discriminate between stable effects (e.g., due to the subject’s unique environment) and transient effects, such as measurement error. This can lead to misleading assessments, particularly when comparing the heritability of traits that exhibit different levels of reliability. Here, we present a linear mixed effects model to conduct heritability analyses that explicitly accounts for intrasubject fluctuations (e.g., due to measurement noise or biological transients) using repeat measurements. We apply the proposed strategy to the analysis of resting-state fMRI measurements—a prototypic data modality that exhibits variable levels of test–retest reliability across space. Our results reveal that the stable components of functional connectivity within and across well-established large-scale brain networks can be considerably heritable. Furthermore, we demonstrate that dissociating intra- and intersubject variation can reveal genetic influence on a phenotype that is not fully captured by conventional heritability analyses.

scholarly journals Test-retest reliability of functional connectivity networks during naturalistic fMRI paradigms

2016 ◽  
Author(s):  
Jiahui Wang ◽  
Yudan Ren ◽  
Xintao Hu ◽  
Vinh Thai Nguyen ◽  
Lei Guo ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Visual Processing ◽  
Ecological Validity ◽  
Brain Networks ◽  
Viewing Condition ◽  
Retest Reliability ◽  
Fmri Session ◽  
Test Retest Reliability ◽  
Resting State Connectivity

AbstractFunctional connectivity analysis has become a powerful tool for probing the human brain function and its breakdown in neuropsychiatry disorders. So far, most studies adopted resting state paradigm to examine functional connectivity networks in the brain, thanks to its low demand and high tolerance that are essential for clinical studies. However, the test-retest reliability of resting state connectivity measures is moderate, potentially due to its low behavioral constraint. On the other hand, naturalistic neuroimaging paradigms, an emerging approach for cognitive neuroscience with high ecological validity, could potentially improve the reliability of functional connectivity measures. To test this hypothesis, we characterized the test-retest reliability of functional connectivity measures during a natural viewing condition, and benchmarked it against resting state connectivity measures acquired within the same functional magnetic resonance imaging (fMRI) session. We found that the reliability of connectivity and graph theoretical measures of brain networks is significantly improved during natural viewing conditions over resting state conditions, with an average increase of almost 50% across various connectivity measures. Not only sensory networks for audio-visual processing become more reliable, higher order brain networks, such as default mode and attention networks, also appear to show higher reliability during natural viewing. Our results support the use of natural viewing paradigms in estimating functional connectivity of brain networks, and have important implications for clinical application of fMRI.

scholarly journals Title: Comparison of Test-Retest Reliability of Pseudo-continuous Arterial Spin Labelling (pCASL) and BOLD fMRI in a Multi-Site Study

2021 ◽  
Author(s):  
James W. Ibinson ◽  
Andrea G. Gillman ◽  
Vince Schmidthorst ◽  
Conrad Li ◽  
Vitaly Napadow ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Repeated Measures ◽  
Finger Tapping ◽  
Retest Reliability ◽  
Repeated Measures Anova ◽  
State Data ◽  
Bold Fmri ◽  
Significant Variability ◽  
Test Retest Reliability

Abstract Background: The establishment of test-retest reliability and reproducibility (TRR) is an important part of validating any research tool, including functional magnetic resonance imaging (fMRI). The primary objective of this study is to investigate the reliability of pseudo-Continuous Arterial Spin Labeling (pCASL) and Blood Oxygen Level Dependent (BOLD) fMRI data acquired across two different scanners in a sample of healthy adults. While single site/single scanner studies have shown acceptable repeatability, TRR of both in a practical multisite study occurring in two facilities spread out across the country with weeks to months between scans is critically needed.Methods: Ten subjects were imaged with similar 3T MRI scanners at the University of Pittsburgh and Massachusetts General Hospital. Finger-tapping and Resting-state data were acquired for both techniques. Analysis of the resting state data for functional connectivity was performed with the Functional Connectivity Toolbox, while analysis of the finger tapping data was accomplished with FSL. pCASL Blood flow data was generated using AST Toolbox. Activated areas and networks were identified via pre-defined atlases and dual-regression techniques. Analysis for TRR was conducted by comparing pCASL and BOLD images in terms of Intraclass correlation coefficients, Dice Similarity Coefficients, and repeated measures ANOVA.Results: Both BOLD and pCASL scans showed strong activation and correlation between the two locations for the finger tapping tasks. Functional connectivity analyses identified elements of the default mode network in all resting scans at both locations. Multivariate repeated measures ANOVA showed significant variability between subjects, but no significant variability for location. Global CBF was very similar between the two scanning locations, and repeated measures ANOVA showed no significant differences between the two scanning locations.Conclusions: The results of this study show that when similar scanner hardware and software is coupled with identical data analysis protocols, consistent and reproducible functional brain images can be acquired across sites. The variability seen in the activation maps is greater for pCASL versus BOLD images, as expected, however groups maps are remarkably similar despite the low number of subjects. This demonstrates that multi-site fMRI studies of task-based and resting state brain activity is feasible.

Test-retest reliability of dynamic functional connectivity in resting state fMRI

NeuroImage ◽  
2018 ◽  
Vol 183 ◽  
pp. 907-918 ◽  
Author(s):  
Chao Zhang ◽  
Stefi A. Baum ◽  
Viraj R. Adduru ◽  
Bharat B. Biswal ◽  
Andrew M. Michael
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Resting State Fmri ◽  
Dynamic Functional Connectivity ◽  
Retest Reliability ◽  
Test Retest Reliability

scholarly journals A Paradigm for Measuring Resting State Functional Connectivity in Young Children Using fNIRS and Freeplay

2020 ◽  
Author(s):  
Jaeah Kim ◽  
Alexander Ruesch ◽  
Nin Rebecca Kang ◽  
Theodore J. Huppert ◽  
Jana Kainerstorfer ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Young Children ◽  
Resting State ◽  
Near Infrared ◽  
Functional Networks ◽  
Resting State Networks ◽  
New Paradigm ◽  
Resting State Functional Connectivity ◽  
Functional Near Infrared Spectroscopy ◽  
Test Retest Reliability

AbstractResting state functional connectivity (RSFC) reflects the organization of functional networks in the brain. Functional networks measured during “resting”, or task-absent, state are correlated with cognitive function, and much development of these networks occurs between infancy and adulthood. However, RSFC research in the intermediate years (especially between ages 3 and 5 years) has been limited, mainly due to a paucity of child-appropriate neural measures and behavioral paradigms. This paper presents a new paradigm to measure RSFC in young children, utilizing functional near-infrared spectroscopy (fNIRS) and Freeplay, a simple behavioral setup designed to approximate resting state in children. In Experiment 1, we recorded fNIRS data from children aged 3-8 years and adults aged 18-21 years and examined feasibility and validity of our measure of RSFC, and compared measures across the two groups. In Experiment 2, we recorded longitudinal data at two points (approximately 3 months apart) from children aged 3-5 years, and examined reliability under a variety of measures. In both experiments, all children were able to complete testing and provide usable data, a significant improvement over fMRI-based RSFC measurement in children. Results suggest this paradigm is practical and has good construct validity and test-retest reliability, and may contribute towards increasing the availability of reliable data on resting state networks in early childhood. In particular, these are some of the first positive results on the feasibility of reliably measuring functional connectivity in children aged 3-5 years.

Relating Disinhibited Eating Behaviors to Resting State Functional Connectivity in Young Children

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1889-P
Author(s):  
ALLISON L.B. SHAPIRO ◽  
SUSAN L. JOHNSON ◽  
BRIANNE MOHL ◽  
GRETA WILKENING ◽  
KRISTINA T. LEGGET ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Young Children ◽  
Resting State ◽  
Eating Behaviors ◽  
Resting State Functional Connectivity ◽  
Disinhibited Eating
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