Interpretable brain age prediction using linear latent variable models of functional connectivity
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DOI: 10.1371/journal.pone.0232296
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References listed on IDEAS
- Romy Lorenz & Ines R. Violante & Ricardo Pio Monti & Giovanni Montana & Adam Hampshire & Robert Leech, 2018. "Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
- Henk R Cremers & Tor D Wager & Tal Yarkoni, 2017. "The relation between statistical power and inference in fMRI," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-20, November.
- Jun-ichiro Hirayama & Aapo Hyvärinen & Vesa Kiviniemi & Motoaki Kawanabe & Okito Yamashita, 2016. "Characterizing Variability of Modular Brain Connectivity with Constrained Principal Component Analysis," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-24, December.
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- Jessica Dafflon & Pedro F. Da Costa & František Váša & Ricardo Pio Monti & Danilo Bzdok & Peter J. Hellyer & Federico Turkheimer & Jonathan Smallwood & Emily Jones & Robert Leech, 2022. "A guided multiverse study of neuroimaging analyses," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
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