👤 Farbod Khosravi

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Hamide Nasiri, Farbod Khosravi, Mitra Ashrafi +10 more · 2026 · Clinical neurology and neurosurgery · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is characterized by amyloid-β (Aβ) accumulation and brain atrophy; however, the assocation between plasma Aβ biomarkers and regional neurodegeneration remains unclear. We inve Show more
Alzheimer's disease (AD) is characterized by amyloid-β (Aβ) accumulation and brain atrophy; however, the assocation between plasma Aβ biomarkers and regional neurodegeneration remains unclear. We investigated whether plasma Aβ42, Aβ40, and the Aβ42/40 ratio are associated with temporal lobe atrophy measured using tensor-based morphometry (TBM) in cognitively healthy controls (HC) and participants with mild cognitive impairment (MCI). We analyzed longitudinal MRI and plasma biomarkers data from 29 participants from ADNI (HC = 14, MCI = 15) with imaging and blood samples available at baseline, 24 months, and 48 months. TBM Jacobian maps were summarized within temporal lobe regions of interest (ROIs). Associations between plasma Aβ measures and TBM-derived atrophy were examined with linear mixed-effects models, adjusting for age, sex, and APOE ε4 status, with false-discovery-rate correction. Participants with MCI showed greater temporal lobe atrophy compared with HC people, with significantly lower TBM values at follow-up. Plasma Aβ42, Aβ40, and Aβ42/40 levels showed no consistent or robust differences between diagnostic groups. After covariate adjustment and FDR correction, no plasma Aβ-TBM associations were significant at baseline or 24 months. At 48 months, positive associations were identified between Aβ42 and temporal lobe atrophy (measure 2) in HC participants (β = 0.70, p = 0.046) and between Aβ40 and measure 2 in participants with MCI (β = 0.60, p = 0.036). In contrast, a negative association was observed between the Aβ42/40 and temporal lobe atrophy (measure 2) in MCI group (β = -0.53, p = 0.049). TBM captured greater temporal lobe atrophy in participants with MCI compared with HC. Plasma amyloids showed only limited and inconsistent associations with temporal lobe atrophy over time. These findings suggest that plasma Aβ measures alone may not reliably reflect longitudinal regional neurodegeneration in early AD. Show less
no PDF DOI: 10.1016/j.clineuro.2026.109360
APOE
Amirhossein Rabiei Rad, Ali Nadaki, Farbod Khosravi +3 more · 2025 · Scientific reports · Nature · added 2026-04-24
Early diagnosis of Alzheimer's disease (AD), particularly during its preclinical and prodromal phases, remains a major challenge. Plasma biomarkers such as phosphorylated tau at threonine 217 (p-tau21 Show more
Early diagnosis of Alzheimer's disease (AD), particularly during its preclinical and prodromal phases, remains a major challenge. Plasma biomarkers such as phosphorylated tau at threonine 217 (p-tau217), amyloid-β (Aβ) isoforms, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) show promise for early detection; however, their relationships with medial temporal lobe (MTL) subfield atrophy and potential inter-biomarker pathways remain unclear. This study aimed to address this gap by investigating the associations between plasma biomarkers and MTL subfield atrophy, and by assessing potential mediation pathways. We conducted a cross-sectional study using data from 330 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI), including cognitively normal (CN) and mild cognitive impairment (MCI) groups. High-resolution coronal T2-weighted MRI quantified MTL subfield volumes using the ASHS protocol. Plasma biomarkers were measured using ultrasensitive immunoassays. The cohort included 209 CN participants (mean age [SD] = 69.3 [6.9] years; 64.2% women; 24.4% APOE ε4 carriers) and 121 MCI participants (mean age [SD] = 71.3 [7.3] years; 48.8% women; 27.9% APOE ε4 carriers). MCI individuals showed significantly higher plasma concentrations of p-tau217, p-tau217/Aβ Show less
📄 PDF DOI: 10.1038/s41598-025-32404-0
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Hamide Nasiri, Farbod Khosravi, Parsa Saberian +13 more · 2025 · Scientific reports · Nature · added 2026-04-24
White matter hyperintensity (WMH), indicative of cerebral small vessel disease, has emerged as a potential biomarker for cognitive decline in Alzheimer's disease (AD). However, their predictive role a Show more
White matter hyperintensity (WMH), indicative of cerebral small vessel disease, has emerged as a potential biomarker for cognitive decline in Alzheimer's disease (AD). However, their predictive role across specific cognitive domains within the AD spectrum remains unclear. This study investigates the relationship between WMH volume and cognitive performance in memory, executive function, and language across the AD continuum. A cross-sectional analysis was conducted using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), comprising 557 participants categorized into cognitively normal (CN; n = 158), mild cognitive impairment (MCI; n = 334), and Alzheimer's dementia (AD; n = 65) groups. Cognitive function was assessed using composite scores for memory (ADNI-MEM), executive function (ADNI-EF), and language (ADNI-LAN). WMH volume was quantified through validated Bayesian segmentation of MRI data. Associations between cognitive scores and WMH volume, adjusted for age, gender, APOE ε4 status, and vascular risk factors, were evaluated via multiple linear regression analyses. WMH volume showed numerically progressive increases from CN to MCI and AD groups; however, between-group differences did not reach statistical significance. Within the MCI group, significant negative associations emerged between WMH volume and memory (β=-0.13, adjusted p = 0.045) and language scores (β=-0.12, adjusted p = 0.045). Conversely, these relationships were absent in both the CN and AD groups. WMH volume relates specifically to declines in memory and language abilities, particularly in individuals with MCI. These results support using WMH measurements as early markers to identify cognitive decline in AD, potentially helping to guide earlier diagnosis and treatment decisions. Show less
📄 PDF DOI: 10.1038/s41598-025-25694-x
APOE