Abstract
The analysis of resting-state brain connectivity allows unraveling the fundamentals of functional brain organization. Especially changes of network connectivity related to age or diseases promise to serve as early biomarkers. After control of subject movement, we found that, when reaching a critical number of subjects, age prediction is reproducible for all seed selection strategies tested here (functional, anatomical and random based seeds). On the Enhanced Rockland Community Sample, we use support vector regression (SVR) and intense permutation testing for statistical validation.
| Original language | English |
|---|---|
| Title of host publication | Bildverarbeitung für die Medizin 2015 |
| Editors | Heinz Handels, Thomas Martin Deserno, Hans-Peter Meinzer, Thomas Tolxdorff |
| Number of pages | 6 |
| Publisher | Springer Verlag |
| Publication date | 25.02.2015 |
| Pages | 371-376 |
| ISBN (Print) | 978-3-662-46223-2 |
| ISBN (Electronic) | 978-3-662-46224-9 |
| DOIs | |
| Publication status | Published - 25.02.2015 |
| Event | Workshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany Duration: 15.03.2015 → 17.03.2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 10 Reduced Inequalities
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