Plasma GFAP and language-network tau mediate the effect of amyloid burden on semantic fluency: A mediation analysis.
Overview
- Department of Evidence‐Based Medicine Xuanwu Hospital Capital Medical University Beijing China
- Beijing Municipal Geriatric Medical Research Center Beijing Geriatric Healthcare Center Beijing China
- Beijing Yihua Biotechnology Co., Ltd Beijing China
- Department of Neurosurgery Sanbo Brain Hospital Capital Medical University Beijing China
Abstract
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Read it in the paper: doi.org/10.1002/dad2.70475.
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 6 keywords, 4 funders, 38 references.
Cite
This paper
Han, W., Li, N., Wang, P., An, W., Han, X., An, Y., & for the Alzheimer's Disease Neuroimaging Initiative. (2026). Plasma GFAP and language-network tau mediate the effect of amyloid burden on semantic fluency: A mediation analysis. Alzheimer's & dementia (Amsterdam, Netherlands), 18(3), e70475. https://
BibTeX
@article{han2026plasma,
author = {Han, Wei and Li, Na and Wang, Peishen and An, Wenhao and Han, Xinye and An, Yihua and {for the Alzheimer's Disease Neuroimaging Initiative}},
title = {{Plasma GFAP and language-network tau mediate the effect of amyloid burden on semantic fluency: A mediation analysis}},
journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
year = {2026},
month = jul,
volume = {18},
number = {3},
pages = {e70475},
publisher = {Wiley},
issn = {2352-8729},
doi = {10.1002/
url = {https://
pmid = {42719511},
pmcid = {PMC13554988}
}
RIS
TY - JOUR
AU - Han, Wei
AU - Li, Na
AU - Wang, Peishen
AU - An, Wenhao
AU - Han, Xinye
AU - An, Yihua
AU - for the Alzheimer's Disease Neuroimaging Initiative
TI - Plasma GFAP and language-network tau mediate the effect of amyloid burden on semantic fluency: A mediation analysis
T2 - Alzheimer's & dementia (Amsterdam, Netherlands)
J2 - Alzheimers Dement (Amst)
PY - 2026
DA - 2026/
VL - 18
IS - 3
SP - e70475
SN - 2352-8729
PB - Wiley
DO - 10.1002/
UR - https://
LA - en
ER -
CSL-JSON
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"URL": "https://
"language": "en",
"issued": {
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