Eigenbrain

Eigenbrain is a novel brain analysis tool, that is inspired from eigenface. Alvarez et al. first proposed the concept of eigenbrain.[1] Zhang et al. implemented eigenbrain to detect subjects and brain regions of Alzheimer's disease.[2] Wang et al. extended their results, and used three-dimensional eigenbrain to find distinguishing regions between AD and healthy controls.[3]


See also

References

  1. ↑ Álvarez, I.; Górriz, J.M.; Ramírez, J.; Salas-Gonzalez, D.; López, M.; Puntonet, C.G.; Segovia, F. (2009). "Alzheimer's diagnosis using eigenbrains and support vector machines". Electronics Letters 45 (7): 342–343. doi:10.1049/el.2009.3415.
  2. ↑ Zhang, Yudong; Dong, Zhengchao; Phillips, Preetha; Wang, Shuihua; Ji, Genlin; Yang, Jiquan; Yuan, Ti-Fei (2015). "Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning". Frontiers in Computational Neuroscience 9 (66): 1–15. doi:10.3389/fncom.2015.00066.
  3. ↑ Zhang, Y; Wang, S; Phillips, P; Yang, J; Yuan, T. F. (2016). "Three-dimensional eigenbrain for the detection of subjects and brain regions related with Alzheimer's disease". Journal of Alzheimer's Disease 50 (4): 1163–1179. doi:10.3233/JAD-150988. PMID 26836190.
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