Connectional Pathways in Alzheimer's Disease Pathologies
Author Information
Author(s): Bougacha Salma, Roquet Daniel, Landeau Brigitte, Saul Elise, Naveau Mikaël, Sherif Siya, Bejanin Alexandre, Dhenain Marc, Raj Ashish, Vivien Denis, Chetelat Gaël
Primary Institution: Normandie University, UNICAEN, INSERM, U1237
Hypothesis
The study investigates how different connectional pathways contribute to the spread of Alzheimer's disease pathologies.
Conclusion
Functional and structural connectivity pathways differently influence the spread of Alzheimer's disease biomarkers, with functional pathways being significant for hypometabolism and amyloid load.
Supporting Evidence
- Functional pathways explained more than 30% of contributions for hypometabolism and amyloid load.
- Atrophy and tau load were mainly predicted by structural pathways.
- The ɛ4 allele modulated contributions to the four biomarkers.
Takeaway
This study looks at how brain connections affect the spread of Alzheimer's disease, showing that some connections are more important for certain symptoms.
Methodology
The study used imaging data from the Alzheimer’s Disease Neuroimaging Initiative to analyze the contributions of structural and functional pathways to Alzheimer's disease biomarkers.
Potential Biases
Potential biases may arise from the selection of participants and the use of specific imaging techniques.
Limitations
The study's findings may not be generalizable beyond the specific populations studied, and the reliance on statistical thresholds for defining pathology sites may affect reproducibility.
Participant Demographics
The study included 353 amyloid-positive patients (195 females) aged 55 to 90 years and 147 age-, sex-, and education-matched amyloid-negative controls (65 females) aged 60 to 96 years.
Statistical Information
P-Value
p<0.001
Confidence Interval
[42%, 70.1%]
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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