Abstract
Background: Although typically measured during the resting state, a growing literature is illustrating the ability to map intrinsic connectivity with functional MRI during task and naturalistic viewing conditions. These paradigms are drawing excitement due to their greater tolerability in clinical and developing populations and because they enable a wider range of analyses (e.g., inter-subject correlations). To be clinically useful, the test-retest reliability of connectivity measured during these paradigms needs to be established. This resource provides data for evaluating test-retest reliability for full-brain connectivity patterns detected during each of four scan conditions that differ with respect to level of engagement (rest, abstract animations, movie clips, flanker task). Data are provided for 13 participants, each scanned in 12 sessions with 10 minutes for each scan of the four conditions. Diffusion kurtosis imaging data was also obtained at each session. Findings: Technical validation and demonstrative reliability analyses were carried out at the connection-level using the Intraclass Correlation Coefficient and at network-level representations of the data using the Image Intraclass Correlation Coefficient. Variation in intrinsic functional connectivity across sessions was generally found to be greater than that attributable to scan condition. Between-condition reliability was generally high, particularly for the frontoparietal and default networks. Between-session reliabilities obtained separately for the different scan conditions were comparable, though notably lower than between-condition reliabilities. Conclusions: This resource provides a test-bed for quantifying the reliability of connectivity indices across subjects, conditions and time. The resource can be used to compare and optimize different frameworks for measuring connectivity and data collection parameters such as scan length. Additionally, investigators can explore the unique perspectives of the brain's functional architecture offered by each of the scan conditions.
Highlights
Typically measured during the resting state, a growing literature is illustrating the ability to map intrinsic connectivity with functional MRI during task and naturalistic viewing conditions
An extensive literature has documented the utility of functional MRI for mapping the brain’s functional interactions through the detection of temporally correlated patterns of spontaneous activity between spatially distinct brain areas [1,2,3,4,5,6,7]
Referred to as intrinsic functional connectivity, these patterns are commonly studied during the “resting state,” which involves the participant quietly lying awake and not performing an externally driven task
Summary
This resource provides a test-bed for quantifying the reliability of connectivity indices across subjects, conditions and time. R-fMRI has demonstrated good test-retest reliability for commonly used measures [8,9,10,11,12], and utility in detecting brain differences associated with neuropsychiatric disorders [13,14] Despite these successes, a growing body of work is questioning the advantages of resting state, given reports of higher head motion, decreased tolerance of the scan environment (e.g., boredom, rumination), and increased likelihood of falling asleep compared to more engaging task-based fMRI paradigms [15,16,17,18]. Not a primary focus of the data collection, additional structural imaging data was collected, which are being shared as well: 1) MPRAGE [30], 2) diffusion kurtosis imaging [31,32], 3) quantitative T1/T2 anatomical imaging (single session) [33], and 4) magnetization transfer (single session) [34] (see Table 1)
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