Amyloid‐β deposition speeds up the production of tau tangles through brain networks

Abstract Background Amyloid‐β (Aβ) and neurofibrillary tau deposition are two hallmark pathological proteins of Alzheimer's disease (AD) that accumulate through brain networks and drive cognitive decline. This study investigates whether the functional network abnormalities influence the Aβ‐tau interactions and cognitive impairment in AD, which may provide more insightful perspectives in understanding the neural mechanisms and pathogenesis of AD. Method We divided the 190 participants from Shanghai Renji Hospital (68.6 ± 8.4 years, 62% female) into three groups, A‐/T‐ (control group, N = 48), A+/T‐ ( N = 121), and A+/T+ ( N = 21), based on established global 18 F‐AV‐45 amyloid PET thresholds and 18 F‐PI‐2620 PET (tau PET) thresholds. All subjects underwent 18 F‐AV‐45 PET, 18 F‐PI‐2620 PET, resting state functional magnetic resonance imaging (fMRI) and T1‐weighted MRI scans. Functional activity and functional network connectivity were determined using regional homogeneity (ReHo) and functional connectivity (FC) respectively. Result Participant demographics and summary descriptive statistics of the cognitive assessments and the PET data analyses are provide Table 1. The health control group (A‐/T‐, n = 48): The average age is 69.9 ± 8.3 years, with 62.5% being female. The mean education level is 10.1 ± 4.0 years. A+/T‐ Group ( n = 121): The average age is 68.2 ± 8.9 years, with 60.0% being female. The mean education level is 10.4 ± 3.9 years. A+/T+ group( n = 21): The average age is 68.3 ± 5.0 years, with 71.4% being female. No significant difference was found for age and years of education across health control group and AD groups. We compared the brain's functional activity among A‐/T‐ group, A+/T‐ group, and A+/T+ group, and we found that functional activity in some brain regions, such as bilateral cerebellum, right insula cortex, right precentral gyrus, right middle frontal gyrus, differed significantly among these forementioned three groups Conclusion This study found significant differences in functional activity in brain regions such as the cerebellum, insula cortex, precentral gyrus, and middle frontal gyrus among control, A+/T‐, and A+/T+ AD groups. These results suggest functional network abnormalities may influence Aβ‐tau interactions and contribute to cognitive impairment in AD, shedding light on the neural mechanisms of the disease.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_104805
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Amyloid‐β deposition speeds up the production of tau tangles through brain networks

Y. Zhang, L. J. Zhang, Dong Liang, Zhanli Hu et al.
Alzheimer s & Dementia
Functional Brain Connectivity Studies
article

Amyloid‐β deposition speeds up the production of tau tangles through brain networks

Y. Zhang, L. J. Zhang, Dong Liang, Zhanli Hu, Lin Liu, Tengfei Guo, Jianjun Liu, Hongda Shao, Hairong Zheng, Wanwan Guo
article en

Abstract

Abstract Background Amyloid‐β (Aβ) and neurofibrillary tau deposition are two hallmark pathological proteins of Alzheimer's disease (AD) that accumulate through brain networks and drive cognitive decline. This study investigates whether the functional network abnormalities influence the Aβ‐tau interactions and cognitive impairment in AD, which may provide more insightful perspectives in understanding the neural mechanisms and pathogenesis of AD. Method We divided the 190 participants from Shanghai Renji Hospital (68.6 ± 8.4 years, 62% female) into three groups, A‐/T‐ (control group, N = 48), A+/T‐ ( N = 121), and A+/T+ ( N = 21), based on established global 18 F‐AV‐45 amyloid PET thresholds and 18 F‐PI‐2620 PET (tau PET) thresholds. All subjects underwent 18 F‐AV‐45 PET, 18 F‐PI‐2620 PET, resting state functional magnetic resonance imaging (fMRI) and T1‐weighted MRI scans. Functional activity and functional network connectivity were determined using regional homogeneity (ReHo) and functional connectivity (FC) respectively. Result Participant demographics and summary descriptive statistics of the cognitive assessments and the PET data analyses are provide Table 1. The health control group (A‐/T‐, n = 48): The average age is 69.9 ± 8.3 years, with 62.5% being female. The mean education level is 10.1 ± 4.0 years. A+/T‐ Group ( n = 121): The average age is 68.2 ± 8.9 years, with 60.0% being female. The mean education level is 10.4 ± 3.9 years. A+/T+ group( n = 21): The average age is 68.3 ± 5.0 years, with 71.4% being female. No significant difference was found for age and years of education across health control group and AD groups. We compared the brain's functional activity among A‐/T‐ group, A+/T‐ group, and A+/T+ group, and we found that functional activity in some brain regions, such as bilateral cerebellum, right insula cortex, right precentral gyrus, right middle frontal gyrus, differed significantly among these forementioned three groups Conclusion This study found significant differences in functional activity in brain regions such as the cerebellum, insula cortex, precentral gyrus, and middle frontal gyrus among control, A+/T‐, and A+/T+ AD groups. These results suggest functional network abnormalities may influence Aβ‐tau interactions and contribute to cognitive impairment in AD, shedding light on the neural mechanisms of the disease.

Alzheimer s & DementiaVol. 21(S2)
Guangzhou University of Chinese Medicine (CN), Chinese Academy of Sciences (CN), Renji Hospital (CN), Shantou University (CN), Longgang Central Hospital (CN), Shenzhen Bay Laboratory (CN), Tsinghua–Berkeley Shenzhen Institute (CN), Academy of Mathematics and Systems Science (CN), Shantou University Medical College (CN), Peking University Shenzhen Hospital (CN), Shenzhen Institutes of Advanced Technology (CN), Tsinghua University (CN)
Openalex Percentile: Top 30%
Functional Brain Connectivity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.