Continuous and atlas-free analysis of brain structural connectivity-Reference-Cited by-同舟云学术

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Continuous and atlas-free analysis of brain structural connectivity

Published:2024-09-01 Issue:3 Volume:18 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Consagra William¹,Cole Martin²,Qiu Xing²,Zhang Zhengwu³

Affiliation:

1. Psychiatry Neuroimaging Laboratory, Harvard Medical School

2. Department of Biostatistics and Computational Biology, University of Rochester Medical Center

3. Department of Statistics and Operations Research, University of North Carolina at Chapel Hill

Publisher

Institute of Mathematical Statistics

Reference69 articles.

1. Yao, F., Müller, H.-G. and Wang, J.-L. (2005). Functional linear regression analysis for longitudinal data. Ann. Statist. 33 2873–2903.

2. Glasser, M. F., Sotiropoulos, S. N., Wilson, J. A., Coalson, T. S., Fischl, B., Andersson, J. L., Xu, J., Jbabdi, S., Webster, M. et al. (2013). The minimal preprocessing pipelines for the Human Connectome Project. NeuroImage 80 105–124.

3. CHUNG, J., BRIDGEFORD, E., ARROYO, J., PEDIGO, B. D., SAAD-ELDIN, A., GOPALAKRISHNAN, V., XIANG, L., PRIEBE, C. E. and VOGELSTEIN, J. T. (2021). Statistical connectomics. Annu. Rev. Stat. Appl. 8 463–492.

4. ZALESKY, A., FORNITO, A. and BULLMORE, E. T. (2010). Network-based statistic: Identifying differences in brain networks. NeuroImage 53 1197–1207.

5. Panaretos, V. M. and Zemel, Y. (2016). Amplitude and phase variation of point processes. Ann. Statist. 44 771–812.

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