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Brain Representation of Animal and Non-Animal Images in Patients With Mild Cognitive Impairment and Alzheimer’S Disease Publisher



Marefat H1 ; Vahabi Z2, 3, 4 ; Afzalian N1 ; Khanbagi M5 ; Karimi H6 ; Ebrahiminia F5, 7 ; Kalafatis C8, 9, 10 ; Modarres MH10 ; Khalighrazavi SM5, 10
Authors
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Authors Affiliations
  1. 1. School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
  2. 2. Western University, London, ON, Canada
  3. 3. Department of Geriatric Medicine, Ziaeian Hospital, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Memory and Behavioral Neurology Division, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
  6. 6. Department of Psychology and Neuroscience, Boston College, Boston, MA, United States
  7. 7. School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
  8. 8. South London & Maudsley NHS Foundation Trust, London, United Kingdom
  9. 9. Department of Old Age Psychiatry, King’s College London, London, United Kingdom
  10. 10. Cognetivity Ltd, London, United Kingdom

Source: Journal of Alzheimer's Disease Reports Published:2023


Abstract

Background: In early Alzheimer’s disease (AD), high-level visual functions and processing speed are impacted. Few functional magnetic resonance imaging (fMRI) studies have investigated high-level visual deficits in AD, yet none have explored brain activity patterns during rapid animal/non-animal categorization tasks. Objective: To address this, we utilized the previously known Integrated Cognitive Assessment (ICA) to collect fMRI data and compare healthy controls (HC) to individuals with mild cognitive impairment (MCI) and mild AD. Methods: The ICA encompasses a rapid visual categorization task that involves distinguishing between animals and non-animals within natural scenes. To comprehensively explore variations in brain activity levels and patterns, we conducted both univariate and multivariate analyses of fMRI data. © 2023 – The authors. Published by IOS Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (CC BY-NC 4.0).
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