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Uncovering Cerebral Blood Flow Patterns Corresponding to Amyloid-Beta Accumulations in Patients Across the Alzheimer’S Disease Continuum Using the Arterial Spin Labeling Publisher Pubmed



Daneshpour A1 ; Nasiri H2 ; Motamed AK3 ; Heidarzadeh N4 ; Fard AM1, 10 ; Koleini S5 ; Fakhimi F6 ; Abiri L7 ; Mayeli M8 ; Sadeghi M9
Authors
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Authors Affiliations
  1. 1. Universal Scientific Education and Research Network (USERN), Tehran, Iran
  2. 2. Student Research Committee, School of Medicine, Zanjan University of Medical Science, Zanjan, Iran
  3. 3. Student Research Committee, School of Medicine, Guilan University of Medical Science, Rasht, Iran
  4. 4. Faculty of Psychology, Islamic Azad University, Karaj Branch, Karaj, Iran
  5. 5. Department of Psychology, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran
  6. 6. Department of Speech Therapy, School of Rehabilitation Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
  7. 7. Department of Medical Sciences, Faculty of Medicine, Islamic Azad University, Tabriz Branch, Iran
  8. 8. Department of Diagnostic Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States
  9. 9. School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
  10. 10. Division of Endocrinology, Metabolism, and Diabetes, University of Colorado, CO, United States

Source: Neurological Sciences Published:2025


Abstract

Background: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder ranging from mild cognitive impairment (MCI) to AD dementia. Abnormal cerebral perfusion alterations, influenced by amyloid-beta (Aβ) accumulations, have been implicated in cognitive decline along this spectrum. Objective: This study investigates the relationship between cerebrospinal fluid (CSF) Aβ1-42 levels and regional cerebral blood flow (CBF) changes across the AD continuum using the Arterial Spin Labeling (ASL) technique. Methods: We analyzed data from 229 participants extracted from the ADNI cohort, comprising of 50 cognitively normal (CN), 13 subjective memory complaints (SMC), 83 early MCI (EMCI), 52 late MCI (LMCI), and 31 AD participants with complete ASL and CSF data. Correlations between Aβ1-42 levels and regional mean CBF values were assessed. Multiple linear regression models accounted for confounders, including age, gender, and education level. Results: Preliminary unadjusted analyses revealed strong positive correlations between Aβ1-42 levels and CBF in multiple regions, predominantly in the AD group. After adjusting for confounders, significant correlations in AD participants emerged in the left pars triangularis and left caudal middle frontal cortex. In the LMCI group, significant associations were identified in the right lateral occipital cortex, right inferior parietal cortex, and left amygdala. Conclusion: These findings highlight the critical role of Aβ-driven CBF alterations in regions associated with higher cognitive functions and suggest that these patterns may serve as potential biomarkers for diagnosing and monitoring disease progression. © Fondazione Societa Italiana di Neurologia 2025.
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