Reproducibility of brain-cognition relationships using different cortical surface-based analysis protocols

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Martínez, Kenia
• dc.contributor.author Joshi, Anand A.
• dc.contributor.author Madsen, Sarah K.
• dc.contributor.author Joshi, Shantanu
• dc.contributor.author Karama, Sherif
• dc.contributor.author Román, Francisco J.
• dc.contributor.author Villalon-Reina, Julio
• dc.contributor.author Burgaleta Díaz, Miguel, 1981-
• dc.contributor.author Thompson, Paul M.
• dc.contributor.author Colom, Roberto
• dc.date.accessioned 2018-11-06T16:57:22Z
• dc.date.available 2018-11-06T16:57:22Z
• dc.date.issued 2014
• dc.description Comunicació presentada a: the IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014), celebrat a Beijing, Xina, del 19 d'abril al 2 de maig de 2014.ca
• dc.description.abstract Neuroimaging techniques are now widely used to understand relationships between brain features and cognitive performance. Nevertheless, studies do not always implicate the same anatomical neural networks in intellectual function. Here we used T1-weighted brain MRI scans obtained from a sample of 82 healthy young adults to study four potential sources of variability affecting the reproducibility of brain-cognition relationships: the neuroimaging protocol used, different measures of cortical gray matter, the nature of the cognitive measurement, and sample characteristics. We found that brain networks implicated in individual differences in cognition were not consistent when derived from different gray matter measures, or from different surface-based processing pipelines, even in equivalent samples of participants. Differences in the networks associated with cognition may reflect differences in the methods used to analyze them; in addition, different individuals may reach equivalent psychological goals through disparate brain networks.en
• dc.format.mimetype application/pdf
• dc.identifier.citation Martinez K, Joshi AA, Madsen SK, Joshi S, Karama S, Roman FJ, Villalon-Reina J, Burgaleta M, Thompson PM, Colom R. Reproducibility of brain-cognition relationships using different cortical surface-based analysis protocols. In: Proceedings of the IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014); 2014 Apr 29 - May 2; Beijing, China. [New York]: IEEE; 2014. p.1019-22. DOI: 10.1109/ISBI.2014.6868046
• dc.identifier.doi http://dx.doi.org/10.1109/ISBI.2014.6868046
• dc.identifier.isbn 978-146731959-1
• dc.identifier.uri http://hdl.handle.net/10230/35707
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof Proceedings of the IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014); 2014 Apr 29 - May 2; Beijing, China. [New York]: IEEE; 2014. p.1019-22.
• dc.rights © 2014 European Union. IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://dx.doi.org/10.1109/ISBI.2014.6868046
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Gray matter properties
• dc.subject.keyword Surface-based methods
• dc.subject.keyword Higher order cognition
• dc.title Reproducibility of brain-cognition relationships using different cortical surface-based analysis protocols
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion