341–355 (2002).
64. Esteban, O. et al. MRIQC: advancing the automatic prediction  
of image quality in MRI from unseen sites. PLoS ONE 12, e0184661 
(2017).
65. Esteban, O. et al. MRIQC Web-API: crowdsourcing image quality 
metrics and expert quality ratings of structural and functional 
MRI. Preprint at bioRxiv https://doi.org/10.1101/216671 (2017).
66. Rosen, A. F. et al. Quantitative assessment of structural image 
quality. Neuroimage 169, 407–418 (2018).
67. Yushkevich, P. A. et al. Automated volumetry and regional 
thickness analysis of hippocampal subfields and medial temporal 
cortical structures in mild cognitive impairment. Hum. Brain 
Mapp. 36, 258–287 (2015).
68. Aly, M. & Turk-Browne, N. B. Attention stabilizes representations in 
the human hippocampus. Cereb. Cortex 26, 783–796 (2016).
69. Wang, H. et al. Multi-atlas segmentation with joint label fusion. 
IEEE Trans. Pattern Anal. Mach. Intell. 35, 611–623 (2013).
70. Yushkevich, P. A. et al. User-guided 3D active contour 
segmentation of anatomical structures: significantly improved 
efficiency and reliability. Neuroimage 31, 1116–1128 (2006).
71. Palombo, D. J. et al. KIBRA polymorphism is associated with 
individual differences in hippocampal subregions: evidence from 
anatomical segmentation using high-resolution MRI. J. Neurosci. 
33, 13088–13093 (2013).
72. Crum, W. R., Camara, O. & Hill, D. L. Generalized overlap  
measures for evaluation and validation in medical image analysis. 
IEEE Trans. Med. Imaging 25, 1451–1461 (2006).
73. Cieslak, M. et al. QSIPrep: an integrative platform for 
preprocessing and reconstructing diffusion MRI data. Nat. 
Methods 18, 775–778 (2021).
74. Yeh, F. C., Badre, D. & Verstynen, T. Connectometry: a statistical 
approach harnessing the analytical potential of the local 
connectome. Neuroimage 125, 162–171 (2016).
75. Yeh, F. C. & Tseng, W. Y. I. NTU-90: a high angular resolution brain 
atlas constructed by q-space diffeomorphic reconstruction. 
Neuroimage 58, 91–99 (2011).
76. Wood, S. N. Generalized Additive Models: An Introduction With R, 
Second Edition (Chapman and Hall/CRC, 2017).
77. Sullivan, K. J., Shadish, W. R. & Steiner, P. M. An introduction to 
modeling longitudinal data with generalized additive models: 
applications to single-case designs. Psychol. Methods 20,  
26–42 (2015).
78. Yeh, F. C., Verstynen, T. D., Wang, Y., Fernández-Miranda, J. C. & 
Tseng, W. Y. I. Deterministic diffusion fiber tracking improved by 
quantitative anisotropy. PLoS ONE 8, e80713 (2013).
79. Jovicich, J. et al. Brain morphometry reproducibility in 
multi-center 3T MRI studies: a comparison of cross-sectional and 
longitudinal segmentations. Neuroimage 83, 472–484 (2013).
80. Hedges, E. P. et al. Reliability of structural MRI measurements: the 
effects of scan session, head tilt, inter-scan interval, acquisition 
sequence, FreeSurfer version and processing stream. Neuroimage 
246, 118751 (2022).
Acknowledgements
The authors would like to thank M. Mendoza for his phlebotomy 
and MRI assistance at the UCSB Brain Imaging Center; C. Stark and 
R. Tain for MRI assistance at the UCI Facility for Imaging and Brain