Brain geometry persistent homology marker for Parkinson's disease
| Autor: | Mirza Faisal Beg, Karteek Popuri, Donghuan Lu, Amanmeet Garg |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Persistent homology
Parkinson's disease Quantitative Biology::Neurons and Cognition Neurodegeneration Geometry 02 engineering and technology Human brain Algebraic topology medicine.disease Simplicial homology 03 medical and health sciences Simplicial complex 0302 clinical medicine medicine.anatomical_structure 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing sense organs 030217 neurology & neurosurgery Topology (chemistry) Mathematics |
| Zdroj: | ISBI |
| DOI: | 10.1109/isbi.2017.7950575 |
| Popis: | The geometry of the human brain changes due to age and neurodegeneration. The brain geometry is expected to undergo a similar change in shape with a normal aging, however such change may differ in patients suffering from neurodegenerative disorders. In the novel framework proposed in this work, we model the brain geometry as a 3D point cloud and study the algebraic topology features of this point cloud. Specifically, we compute the persistence timelines of a simplicial complex in a multiscale simplicial homology of the underlying topology space. Further, persistence landscape summary features are obtained from the timelines and studied for their difference between the two groups. The statistical significance obtained in a permutation testing experiments highlights the ability of the persistence landscape features to differentiate between the PD and healthy control brain geometry. |
| Databáze: | OpenAIRE |
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