Identifying brain regions to characterize AD using PET tracer uptake: A Bayesian approach

In this work, regional standardized uptake value ratios (SUVR) from PIB-PET scans are analyzed to examine key brain regions linked to AD diagnosis. Tracer uptake in 13 of these regions and global amyloid deposition are identified to be highly linked to disease status, that could serve as markers and inform about the likelihood of AD in patients. Future studies could explore tracer uptake in these regions in larger cohorts to confirm their utility in AD diagnosis and treatment. Data was provided by OASIS-3 (LaMontagne et al., 2019) and all analyses were carried out on AD Workbench (2020), Alzheimers Disease Data Initiative (https://www.alzheimersdata.org/). This work was funded by the AD Data Initiative.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_100736
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying brain regions to characterize AD using PET tracer uptake: A Bayesian approach

Geetha Soujanya V. N. Chilla
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Identifying brain regions to characterize AD using PET tracer uptake: A Bayesian approach

Geetha Soujanya V. N. Chilla
article en

Abstract

In this work, regional standardized uptake value ratios (SUVR) from PIB-PET scans are analyzed to examine key brain regions linked to AD diagnosis. Tracer uptake in 13 of these regions and global amyloid deposition are identified to be highly linked to disease status, that could serve as markers and inform about the likelihood of AD in patients. Future studies could explore tracer uptake in these regions in larger cohorts to confirm their utility in AD diagnosis and treatment. Data was provided by OASIS-3 (LaMontagne et al., 2019) and all analyses were carried out on AD Workbench (2020), Alzheimers Disease Data Initiative (https://www.alzheimersdata.org/). This work was funded by the AD Data Initiative.

Alzheimer s & DementiaVol. 21(S2)
Bioinformatics Institute (SG)
Openalex Percentile: Top 34%
Dementia and Cognitive Impairment Research
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.