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. 2016 Mar 15:3:160016.
doi: 10.1038/sdata.2016.16.

A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity

Lijie Huang  1 , Taicheng Huang  1 , Zonglei Zhen  1 , Jia Liu  2
Affiliations

A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity

Lijie Huang et al. Sci Data. .

Abstract

We present a test-retest dataset for evaluation of long-term reliability of measures from structural and resting-state functional magnetic resonance imaging (sMRI and rfMRI) scans. The repeated scan dataset was collected from 61 healthy adults in two sessions using highly similar imaging parameters at an interval of 103-189 days. However, as the imaging parameters were not completely identical, the reliability estimated from this dataset shall reflect the lower bounds of the true reliability of sMRI/rfMRI measures. Furthermore, in conjunction with other test-retest datasets, our dataset may help explore the impact of different imaging parameters on reliability of sMRI/rfMRI measures, which is especially critical for assessing datasets collected from multiple centers. In addition, intelligence quotient (IQ) was measured for each participant using Raven's Advanced Progressive Matrices. The data can thus be used for purposes other than assessing reliability of sMRI/rfMRI alone. For example, data from each single session could be used to associate structural and functional measures of the brain with the IQ metrics to explore brain-IQ association.

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Conflict of interest statement

The authors declare no competing financial interests.

Figures

Figure 1
Figure 1. Intervals between two MRI sessions for all participants.
Each vertical line corresponds to a participant, and orange disks indicate the interval length.
Figure 2
Figure 2. Raven raw scores of all participants.
Each vertical line corresponds to a participant, and orange disks indicate the raw scores from the Raven APM test.
Figure 3
Figure 3. Test-retest plots of quality metrics derived from sMRI images.
The blue line indicates the correlation between two sessions across all participants.
Figure 4
Figure 4. Box plots of quality metrics derived from sMRI images.
In order to provide a reference, the metrics derived from datasets BNU_1 and BNU_3 are also shown.
Figure 5
Figure 5. Test-retest plots of quality metrics derived from rfMRI images.
Blue line indicates correlation between the two sessions across all participants. Red circle indicates one outlier (ID: 0025932) who had larger head motion during rfMRI scanning.
Figure 6
Figure 6. Box plots of quality metrics derived from rfMRI images.
In order to provide a reference, the metrics derived from datasets BNU_1 and BNU_3 are also shown.
See this image and copyright information in PMC

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References

Data Citations

    1. Liu J., Zhen Z., Huang L. 2014. Functional Connectomes Project International Neuroimaging Data-Sharing Initiative. http://dx.doi.org/10.15387/fcp_indi.corr.bnu2 - DOI

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