132825 20260219073210.0 BEHAVIORAL SCIENCES 21 / 57 = 0.368 2024 Q2 T2 NEUROSCIENCES 213 / 314 = 0.678 2024 Q3 T3 2.3 2024 Behavioral Neuroscience 2024 Q2 0.919 2024 5.5 2024 ARTICLE (orcid)0000-0002-0912-5139 Adrián-Ventura, Jesús Universidad de Zaragoza Cháfer-Pericás, Consuelo Alvarez-Sanchez, Lourdes Ferrer-Cairols, Inés Martinez-Sanchis, Begoña Torres-Espallardo, Irene Baquero-Toledo, Miquel Marti-Bonmati, Luis ART-2024-137718 882086 http://zaguan.unizar.es/record/132825/files/texto_completo.pdf Postprint info:eu-repo/date/embargoEnd/2025-09-12 938725 http://zaguan.unizar.es/record/132825/files/texto_completo.jpg?subformat=icon icon Postprint info:eu-repo/date/embargoEnd/2025-09-12 2026-02-17-20:21:13 info:eu-repo/semantics/openAccess by-nc-nd https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Objective Dementia is a major public health problem with high needs for early detection, efficient treatment, and prognosis evaluation. Social cognition impairment could be an early dementia indicator and can be assessed with emotion recognition evaluation tests. The purpose of this study is to investigate the link between different brain imaging modalities and cognitive status in Mild Cognitive Impairment (MCI) patients, with the goal of uncovering potential physiopathological mechanisms based on social cognition performance. Methods The relationship between the Reading the Mind in the Eyes Test (RMET) and some clinical and biochemical variables ([18 F]FDG PET-CT and anatomical MR parameters, neuropsychological evaluation, and CSF biomarkers) was studied in 166 patients with MCI by using a correlational approach. Results The RMET correlated with neuropsychological variables, as well as with structural and functional brain parameters obtained from the MR and FDG-PET imaging evaluation. However, significant correlations between the RMET and CSF biomarkers were not found. Discussion Different neuroimaging parameters were found to be related to an emotion recognition task in MCI. This analysis identified potential minimally-invasive biomarkers providing some knowledge about the physiopathological mechanisms in MCI. Access copy available to the general public Unrestricted 461 (2024), 114844 [9 pp.] Behav. brain res. Behavioural brain research 0166-4328 4009 730 Universidad de Zaragoza Dpto. Psicología y Sociología Área Psicología Básica Relationship between neuroimaging and emotion recognition in mild cognitive impairment patients doi 10.1016/j.bbr.2023.114844 sideral 137718 2024 Gandia-Ferrero, Maria Teresa eng oai:zaguan.unizar.es:132825 articulos driver