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Abstract #3276

Resting state functional networks longitudinally correlate with working memory in a transgenic rat model of Alzheimer’s disease

Raúl Tudela1, Emma Muñoz-Moreno2, Xavier López-Gil2, and Guadalupe Soria1,2

1Group of Biomedical Imaging of the University of Barcelona, CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Barcelona, Spain, 2Experimental MRI 7T Unit, IDIBAPS, Barcelona, Spain

The TgF344-AD rats represent the most suitable and promising animal model for Alzheimer’s disease (AD) research. Resting-state functional MRI was longitudinally acquired every 3 months in a cohort of transgenic Tg344-AD and control Fisher rats between 5 and 15 months of age, together with cognitive task evaluation. Independent component analysis was applied to rs-fMRI volumes and 10 networks were anatomically identified. Spearman correlation coefficients between functional and cognitive parameters were computed. Our results show that while no differences were observed in the cognitive task between both groups, significant differences were found in the functional networks.

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