Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Document type

Article

Version

Published version

Publication date

Publication license

cc-by (c) Farràs-Permanyer, L. et al., 2015
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/99230

Mild cognitive impairment and fMRI studies of brain functional connectivity: the state of the art

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

In the last 15 years, many articles have studied brain connectivity in Mild Cognitive Impairment patients with fMRI techniques, seemingly using different connectivity statistical models in each investigation to identify complex connectivity structures so as to recognize typical behavior in this type of patient. This diversity in statistical approaches may cause problems in results comparison. This paper seeks to describe how researchers approached the study of brain connectivity in MCI patients using fMRI techniques from 2002 to 2014. The focus is on the statistical analysis proposed by each research group in reference to the limitations and possibilities of those techniques to identify some recommendations to improve the study of functional connectivity. The included articles came from a search of Web of Science and PsycINFO using the following keywords: f MRI, MCI, and functional connectivity. Eighty-one papers were found, but two of them were discarded because of the lack of statistical analysis. Accordingly, 79 articles were included in this review.

Citation

Citation

FARRÀS PERMANYER, Laia, GUÀRDIA-OLMOS, Joan and PERÓ, Maribel. Mild cognitive impairment and fMRI studies of brain functional connectivity: the state of the art. Frontiers in Psychology. 2015. Vol. 6, num. 1-18. ISSN 1664-1078. [consulted: 7 of August of 2026]. Available at: https://hdl.handle.net/2445/99230

Export metadata

JSON - METS

Share record