Test-retest reliability of longitudinal task-based fMRI: Implications for developmental studies

Herting, Megan M.; Gautam, Prapti; Chen, Zhanghua; Mezher, Adam; Vetter, Nora C.

doi:10.1016/j.dcn.2017.07.001

Cited by 109 publications

(112 citation statements)

References 51 publications

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“…ICCs ranging between 0.08 and 0.33, although most being at least above .1 (e.g., Ordaz, Foran, Velanova, & Luna, 2013). Compared to fMRI ICCs, these values are comparable for neural activity in subcortical brain regions (Braams et al, 2015;Herting, Gautam, Chen, Mezher, & Vetter, 2017;Schreuders et al, 2018) and highlight that patterns were more consistent at the group than the individual level. One interpretation of low test-retest reliability (such as the ICC) is that there is a poor consistency of functional connectivity.…”

Section: Age-related Changes In Functional Connectivitymentioning

confidence: 83%

“…One interpretation of low test–retest reliability (such as the ICC) is that there is a poor consistency of functional connectivity. However, for studies with relatively longer delays between time points and younger populations, a low ICC may also reflect development over time (Herting et al, ). To distinguish which of these effects contributes most to these ICC results, future studies should further examine the test–retest reliability of RS scans in developmental populations, preferably also including shorter durations between scans.…”

Section: Discussionmentioning

confidence: 99%

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A three‐wave longitudinal study of subcortical–cortical resting‐state connectivity in adolescence: Testing age‐ and puberty‐related changes

Duijvenvoorde

Westhoff

Vos

et al. 2019

Human Brain Mapping

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Adolescence is the transitional period between childhood and adulthood, characterized by substantial changes in reward‐driven behavior. Although reward‐driven behavior is supported by subcortical‐medial prefrontal cortex (PFC) connectivity, the development of these circuits is not well understood. Particularly, while puberty has been hypothesized to accelerate organization and activation of functional neural circuits, the relationship between age, sex, pubertal change, and functional connectivity has hardly been studied. Here, we present an analysis of resting‐state functional connectivity between subcortical structures and the medial PFC, in 661 scans of 273 participants between 8 and 29 years, using a three‐wave longitudinal design. Generalized additive mixed model procedures were used to assess the effects of age, sex, and self‐reported pubertal status on connectivity between subcortical structures (nucleus accumbens, caudate, putamen, hippocampus, and amygdala) and cortical medial structures (dorsal anterior cingulate, ventral anterior cingulate, subcallosal cortex, frontal medial cortex). We observed an age‐related strengthening of subcortico‐subcortical and cortico‐cortical connectivity. Subcortical–cortical connectivity, such as, between the nucleus accumbens—frontal medial cortex, and the caudate—dorsal anterior cingulate cortex, however, weakened across age. Model‐based comparisons revealed that for specific connections pubertal development described developmental change better than chronological age. This was particularly the case for changes in subcortical–cortical connectivity and distinctively for boys and girls. Together, these findings indicate changes in functional network strengthening with pubertal development. These changes in functional connectivity may maximize the neural efficiency of interregional communication and set the stage for further inquiry of biological factors driving adolescent functional connectivity changes.

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Section: Age-related Changes In Functional Connectivitymentioning

confidence: 83%

Section: Discussionmentioning

confidence: 99%

A three‐wave longitudinal study of subcortical–cortical resting‐state connectivity in adolescence: Testing age‐ and puberty‐related changes

Duijvenvoorde

Westhoff

Vos

et al. 2019

Human Brain Mapping

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“…Low ICCs for fMRI data seem to be no exception. Although Bennett and Miller () computed an average ICC of 0.50 across multiple fMRI reliability studies, ICCs varied substantially across ROIs and contrasts examined in individual studies (see also Herting et al, , for similar findings in developmental samples). In addition, poor ICCs were found in several earlier studies focusing on face processing that examined fMRI reliability (e.g., Lipp et al, ; Van der Bulk et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…In earlier studies, fMRI test-retest reliability was investigated using various tasks and experimental designs (Bennett & Miller, 2010;Herting, Gautam, Chen, Mezher, & Vetter, 2017). Bennett and Miller (2010) computed an average intraclass correlation coefficient (ICC) of 0.50 across 13 earlier fMRI reliability studies, but report substantial variation across studies, with ICCs ranging from 0.16 to 0.88.…”

Section: Introductionmentioning

confidence: 99%

Neural responses to children’s faces: Test–retest reliability of structural and functional MRI

et al. 2019

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Introduction Functional MRI (fMRI) is commonly used to investigate the neural mechanisms underlying psychological processes and behavioral responses. However, to draw well‐founded conclusions from fMRI studies, more research on the reliability of fMRI is needed. Methods We invited a sample of 41 female students to participate in two identical fMRI sessions, separated by 5 weeks on average. To investigate the potential effect of left‐handedness on the stability of neural activity, we oversampled left‐handed participants ( N = 20). Inside the scanner, we presented photographs of familiar and unfamiliar children's faces preceded by neutral and threatening primes to the participants. We calculated intraclass correlations (ICCs) to investigate the test–retest reliability of peak activity in areas that showed significant activity during the first session (primary visual cortex, fusiform face area, inferior frontal gyrus, and superior temporal gyrus). In addition, we examined how many trials were needed to reliably measure the effects. Results Across all participants, only fusiform face area activity in response to faces showed good test–retest reliability (ICC = 0.71). All other test–retest reliabilities were low (0.01 ≤ ICC ≤ 0.35). Reliabilities varied only slightly with increasing numbers of trials, with no consistent increase in ICCs. Test–retest reliabilities for left‐handed participants (0.28 ≤ ICC ≤0.66) were generally somewhat higher than for right‐handed participants (−0.13 ≤ ICC ≤0.75), but not statistically significant. Conclusion Our study shows good test–retest reliability for fusiform facer area activity in response to faces, but low test–retest reliability for other contrasts and areas.

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“…Furthermore, there are logistical and computational challenges such as head motion, task compliance and performance accuracy, image registration and multiple comparisons corrections, and a lack of normative data, which could introduce bias into statistical estimates and therefore result in spurious conclusions. Advanced methodological and computational approaches have improved the reliability of taskbased fMRI developmental studies (Herting, Gautam, Chen, Mezher, & Vetter, 2017), and have improved data quality (Grayson & Fair, 2017).…”

Section: Neuroimaging and Methodological Considerationsmentioning

confidence: 99%

Adolescent Brain Development: Implications for Understanding Risk and Resilience Processes Through Neuroimaging Research

Morris

Squeglia

Jacobus

et al. 2018

J of Research on Adolesc

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This special section focuses on research that utilizes neuroimaging methods to examine the impact of social relationships and socioemotional development on adolescent brain function. Studies include novel neuroimaging methods that further our understanding of adolescent brain development. This special section has a particular focus on how study findings add to our understanding of risk and resilience. In this introduction to the special section, we discuss the role of neuroimaging in developmental science and provide a brief review of neuroimaging methods. We present key themes that are covered in the special section articles including: (1) emerging methods in developmental neuroscience, (2) emotion-cognition interaction, and (3) the role of social relationships in brain function. We conclude our introduction with future directions for integrating developmental neuroscience into the study of adolescence, and highlight key points from the special section's commentaries which include information on the landmark Adolescent Brain Cognitive Development (ABCD) study.

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Test-retest reliability of longitudinal task-based fMRI: Implications for developmental studies

Cited by 109 publications

References 51 publications

A three‐wave longitudinal study of subcortical–cortical resting‐state connectivity in adolescence: Testing age‐ and puberty‐related changes

A three‐wave longitudinal study of subcortical–cortical resting‐state connectivity in adolescence: Testing age‐ and puberty‐related changes

Neural responses to children’s faces: Test–retest reliability of structural and functional MRI

Adolescent Brain Development: Implications for Understanding Risk and Resilience Processes Through Neuroimaging Research

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