Improving the predictive potential of diffusion MRI in schizophrenia using normative models - Towards subject-level classification

Elad, D., Cetin-Karayumak, S., Zhang, F., Cho, K. I. K., Lyall, A. E., Seitz-Holland, J., Ben-Ari, R., Pearlson, G. D., Tamminga, C. A., Sweeney, J. A., Clementz, B. A., Schretlen, D. J., Viher, P. V., Stegmayer, K., Walther, S., Lee, J., Crow, T. J., James, A., Voineskos, A. N., Buchanan, R. W., Szeszko, P. R., Malhotra, A. K., Keshavan, M. S., Shenton, M. E., Rathi, Y., Bouix, S., Sochen, N., Kubicki, M. R. and Pasternak, O.. 2021. « Improving the predictive potential of diffusion MRI in schizophrenia using normative models - Towards subject-level classification ». Human Brain Mapping, vol. 42, nº 14. pp. 4658-4670.
Compte des citations dans Scopus : 24.

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Item Type:	Peer reviewed article published in a journal
Professor:	Professor Bouix, Sylvain
Affiliation:	Autres
Date Deposited:	22 Jun 2022 17:11
Last Modified:	22 Jun 2022 17:11
URI:	https://espace2.etsmtl.ca/id/eprint/24640

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