Evidence map›Paper›PMID 39838256›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025

Uncovering cerebral blood flow patterns corresponding to Amyloid-beta accumulations in patients across the Alzheimer's disease continuum using the arterial spin labeling.

Arian Daneshpour, Hamide Nasiri, Atoosa Keshavarz Motamed, Neda Heidarzadeh, Atousa Moghadam Fard, Sara Koleini, Fateme Fakhimi, Leila Abiri, Mahsa Mayeli, Mohammad Sadeghi and 1 more

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Arian DaneshpourUniversal Scientific Education and Research Network (USERN), Tehran, Iran. daneshpourarian@gmail.com.ORCID http://orcid.org/0009-0000-2751-2741
Hamide NasiriStudent Research Committee, School of Medicine, Zanjan University of Medical Science, Zanjan, Iran.
Atoosa Keshavarz MotamedStudent Research Committee, School of Medicine, Guilan University of Medical Science, Rasht, Iran.
Neda HeidarzadehFaculty of Psychology, Islamic Azad University, Karaj Branch, Karaj, Iran.
Atousa Moghadam FardUniversal Scientific Education and Research Network (USERN), Tehran, Iran.
Sara KoleiniDepartment of Psychology, Isfahan Branch (Khorasgan), Islamic Azad University, Isfahan, Iran.
Fateme FakhimiDepartment of Speech Therapy, School of Rehabilitation Sciences, Isfahan University of Medical Sciences, Isfahan, Iran.
Leila AbiriDepartment of Medical Sciences, Faculty of Medicine, Islamic Azad University, Tabriz Branch, Iran.
Mahsa MayeliDepartment of Diagnostic Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
Mohammad SadeghiSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Alzheimer’s Disease Neuroimaging Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer'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.

objectiveThis 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.

methodsWe 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.

resultsPreliminary 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.

conclusionThese 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.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBrainCerebrovascular CirculationCognitive DysfunctionPeptide FragmentsAgedAged, 80 and overCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSpin LabelsAmyloid beta-Peptidesamyloid beta-protein (1-42)Peptide FragmentsSpin LabelsAlzheimer’s diseaseAmyloid-betaArterial spin labelingCerebral blood flowMild cognitive impairment

Identifiers

PMID39838256

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.