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Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
Published on: July 1, 2014
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Impact of concatenating fMRI data on reliability for functional connectomics
Jae Wook Cho1, Annachiara Korchmaros1, Joshua T Vogelstein2
1The Child Mind Institute, 101 East 56th Street, New York, NY 10022, United States.
Neuroimage
|November 28, 2020
Summary
Aggregating functional magnetic resonance imaging (fMRI) data from multiple scans improves reliability for mapping the human connectome. Concatenating scans from the same state is more reliable than combining different states or using one long scan.
Area of Science:
- Neuroscience
- Neuroimaging
- Computational Biology
Background:
- Reliable mapping of the human connectome requires substantial individual data.
- Acquiring large datasets per participant is challenging, especially for retrospective analyses.
- Aggregating data across all available functional magnetic resonance imaging (fMRI) scans is a promising solution.
Purpose of the Study:
- To systematically examine how different data aggregation strategies impact the reliability of cortical functional connectomics.
- To compare the reliability of functional connectivity estimates derived from various concatenation methods.
- To investigate the influence of different processing and estimation procedures on aggregate data reliability.
Main Methods:
- Leveraged highly sampled test-retest datasets.
- Compared functional connectivity estimates from: multiple scans (same state), multiple scans (different states), and subsets of one long scan.
- Varied connectivity processing techniques, including global signal regression, ICA-FIX, and task regression.
Main Results:
- Concatenating multiple shorter scans under the same state yielded higher reliability than a single long scan when total time points were equal.
- Reliability varied when concatenating data across different fMRI states (e.g., rest vs. task).
- Combining fewer, more reliable states generally resulted in higher overall reliability.
Conclusions:
- Data aggregation strategies significantly influence the reliability of functional connectivity analyses.
- Concatenating data from the same fMRI state is advantageous for enhancing reliability.
- Careful consideration of data aggregation dependencies is crucial for optimizing functional connectivity analysis.
