The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Neurobiological basis of head motion in brain imaging
Open accessAbstract
Significance: This study expands our understanding of head motion in brain imaging. Complementing the common knowledge that motion artifacts can distort brain connectivity measures by causing artifacts, this study identifies a neurobiological trait that is linked to differences in motion. This correlate of head motion consists of reduced distant functional connectivity primarily in the default network areas in individuals with high head motion. Importantly, this correlate is stable within individuals across time. These findings may revise the interpretations of imaging findings in many neurodevelopmental, aging, and neuropsychiatric studies. In addition, differentiating the true disease effects from the correlates of motion tendency as reported here is critical for using connectivity markers in the clinical arena because correlates of motion may reduce specificity of biomarkers.
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Citations
Cites
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Self-citationBuckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862
Self-citationDisruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592
Self-citationThe maturing architecture of the brain's default network
Fair, D. A., Cohen, A. L., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800376105 · Cited by 1,314
Reduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187 · cited 1×
“Studies found that head motion can vary considerably across individuals and often demonstrates systematic group effects when contrasting different populations, especially in neurodevelopmental (8–10), aging (11, 12), and neuropsychiatric studies (13).”
BackgroundResting-state functional connectivity in neuropsychiatric disorders
Greicius, M. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328306f2c5 · Cited by 1,180
The brain's default network and its adaptive role in internal mentation
Andrews-Hanna, J. R. (2012) · The Neuroscientist · doi:10.1177/1073858411403316 · Cited by 1,114
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Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Cole, M. W., Yarkoni, T., Repovs, G., Anticevic, A., & Braver, T. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0536-12.2012 · Cited by 613
Fair, D. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Schlaggar, B. L., Mennes, M., Gutman, D., Bangaru, S., et al. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00080 · Cited by 463
Cited by
ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data
Pruim, R. H. R., Mennes, M., van Rooij, D., Llera, A., Buitelaar, J. K., & Beckmann, C. F. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.064 · Cited by 1,684
Ciric, R., Wolf, D. H., Power, J. D., Roalf, D. R., Baum, G. L., Ruparel, K., Shinohara, R. T., Elliott, M. A., Eickhoff, S. B., Davatzikos, C., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.020 · Cited by 1,042
Recent progress and outstanding issues in motion correction in resting state fMRI
Power, J. D., Schlaggar, B. L., & Petersen, S. E. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.10.044 · Cited by 957
Kong, R., Li, J., Orban, C., Sabuncu, M. R., Liu, H., Schaefer, A., Sun, N., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhy123 · Cited by 593
Self-citationHead motion during MRI acquisition reduces gray matter volume and thickness estimates
Reuter, M., Tisdall, M. D., Qureshi, A., Buckner, R. L., van der Kouwe, A. J. W., & Fischl, B. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.12.006 · Cited by 457
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Metadata
- Authors
- Zeng, L.-L., Wang, D., Fox, M. D., Sabuncu, M., Hu, D., Ge, M., Buckner, R. L., & Liu, H.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-04-07
- Volume
- 111
- Issue
- 16
- Pages
- 6058-6062
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1966421226
- Cited by
- 285
- References
- 14
- FWCI
- 19.24
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zeng, L.-L., Wang, D., Fox, M. D., Sabuncu, M., Hu, D., Ge, M., Buckner, R. L., & Liu, H. (2014). Neurobiological basis of head motion in brain imaging. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1317424111
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