Name
Abstract | ||
|---|---|---|
Increased age has arguably one of the largest known effects on brain structure in healthy adult populations, often affecting different brain regions at different rates, and showing numerous interactions. Modeling age appropriately can be challenging. Tensor-based morphometry produces voxelwise maps of regional inter-subject differences in the brain, often in relation to a single study-specific (3D) template. In studies with a wide age range, this single template may not be sufficient. Here, we create age-specific templates within smaller age bins (4D) to compare to the standard 3D model and evaluate the potential biases. We analyzed the morphological changes of nearly 26,000 subjects from the UK Biobank. We found that age- related biases that existed with a 3D template were minimized with the 4D template. For effective modeling of age across the lifespan, a single template appears suboptimal. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISBI48211.2021.9433909 | 2021 IEEE 18TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) |
Keywords | DocType | ISSN |
Brain MRI, age-biases, Aging, big data, sex differences | Conference | 1945-7928 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alyssa H. Zhu | 1 | 0 | 0.34 |
| Paul M. Thompson | 2 | 0 | 0.34 |
| Neda Jahanshad | 3 | 0 | 0.34 |