Investigating the association between the GAP-43 concentration with diffusion tensor imaging indices in Alzheimer’s dementia continuum

Presynaptic marker GAP-43 in combination with DTI can be used as a novel biomarker to identify microstructural synaptic degeneration in the early MCI. In addition, it can be used as a biomarker for tracking the progression of AD and monitoring treatment efficacy.

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Publication Details

Journal
BMC Neurology
Published
2024-10-17
DOI
https://doi.org/10.1186/s12883-024-03904-9
Citations
5
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.02

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article

Investigating the association between the GAP-43 concentration with diffusion tensor imaging indices in Alzheimer’s dementia continuum

Mahsa Mayeli, Abozar Ghorbani, Mohammad Sadeghi, Armin Ariaei et al.
5 citations
BMC Neurology
Advanced Neuroimaging Techniques and Applications
2.02
article

Investigating the association between the GAP-43 concentration with diffusion tensor imaging indices in Alzheimer’s dementia continuum

Mahsa Mayeli, Abozar Ghorbani, Mohammad Sadeghi, Armin Ariaei, Nader Markazi Moghaddam, Elham Habibzadeh, Negar Chegeni Nezhad, Amirabbas Abdoli, Samira Mazinanian
article en
5 citations

Abstract

Presynaptic marker GAP-43 in combination with DTI can be used as a novel biomarker to identify microstructural synaptic degeneration in the early MCI. In addition, it can be used as a biomarker for tracking the progression of AD and monitoring treatment efficacy.

BMC NeurologyVol. 24(1)
Université de Sherbrooke (CA), Islamic Azad University South Tehran Branch (IR), Iran University of Medical Sciences (IR), Islamic Azad University Medical Branch of Tehran (IR), Centre Hospitalier Universitaire de Sherbrooke (CA), Health Sciences Centre (CA), University of Tabriz (IR), Islamic Azad University, Shahrood (IR), Islamic Azad University Semnan (IR), Tehran University of Medical Sciences (IR)
Tehran University of Medical Sciences and Health Services
Openalex Percentile: Top 13%
Advanced Neuroimaging Techniques and Applications
2.02
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