Abstract
Quite a few studies have been performed based on movie-watching functional connectivity (FC). As compared to its resting-state counterpart, however, there is still much to know about its abilities in individual identifications and individualized predictions. To pave the way for appropriate usage of movie-watching FC, we systemically evaluated the minimum number of time points, as well as the exact functional networks, supporting individual identifications and individualized predictions of apparent traits based on it. We performed the study based on the 7T movie-watching fMRI data included in the HCP S1200 Release, and took IQ as the test case for the prediction analyses. The results indicate that movie-watching FC based on only 15 time points can support successful individual identifications (99.47%), and the connectivity contributed more to identifications were much associated with higher-order cognitive processes (the secondary visual network, the frontoparietal network and the posterior multimodal network). For individualized predictions of IQ, it was found that successful predictions necessitated 60 time points (predicted vs. actual IQ correlation significant at P < 0.05, based on 5,000 permutations), and the prediction accuracy increased logarithmically with the number of time points used for connectivity calculation. Furthermore, the connectivity that contributed more to individual identifications exhibited the strongest prediction ability. Collectively, our findings demonstrate that movie-watching FC can capture rich information about human brain function, and its ability in individualized predictions depends heavily on the length of fMRI scans.
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Data Availability
Original data used in this study is available at the HCP website (https://db.humanconnectome.org/).
Code Availability
Python scripts were written to perform the analyses described; this code is available from the authors upon request.
References
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Acknowledgements
The authors are grateful to the anonymous referees for their significant and constructive comments and suggestions, which greatly improved the paper. This work was supported by the National Natural Science Foundation of China (Grant Nos. 62276021, 61773048). Data were provided by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University.
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This work was supported by the National Natural Science Foundation of China (Grant Nos. 62276021, 61773048).
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Y.G. and L.T. designed research; Y.G. and L.T. performed research; Y.G., H.M. and L.T. analyzed data; Y.G., H.M., J.L., L.X., Y.Z. and L.T. wrote the paper.
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Guan, Y., Ma, H., Liu, J. et al. The abilities of movie-watching functional connectivity in individual identifications and individualized predictions. Brain Imaging and Behavior 17, 628–638 (2023). https://doi.org/10.1007/s11682-023-00785-3
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DOI: https://doi.org/10.1007/s11682-023-00785-3