4.3 Article

A Fast Transform for Brain Connectivity Difference Evaluation

期刊

NEUROINFORMATICS
卷 20, 期 2, 页码 285-299

出版社

HUMANA PRESS INC
DOI: 10.1007/s12021-021-09518-7

关键词

Functional brain connectivity; Complex networks; Link difference ranking; Alzheimer’ s disease; Schizophrenia

资金

  1. European Research Council (ERC) under the European Union [851255]
  2. Horizon 2020 Framework Programme of the European Union
  3. Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health ) [U01 AG024904]
  4. DOD ADNI (Department of Defense award) [W81XWH-12-2-0012]
  5. National Institute on Aging
  6. National Institute of Biomedical Imaging and Bioengineering
  7. AbbVie
  8. Alzheimer's Association
  9. Alzheimer's Drug Discovery Foundation
  10. Araclon Biotech
  11. BioClinica, Inc.
  12. Biogen
  13. Bristol-Myers Squibb Company
  14. CereSpir, Inc.
  15. Cogstate
  16. Eisai Inc.
  17. Elan Pharmaceuticals, Inc.
  18. Eli Lilly and Company
  19. EuroImmun
  20. F. Hoffmann-La Roche Ltd.
  21. Genentech, Inc.
  22. Fujirebio
  23. GE Healthcare
  24. IXICO Ltd.
  25. Janssen Alzheimer Immunotherapy Research & Development, LLC.
  26. Johnson & Johnson Pharmaceutical Research & Development LLC.
  27. Lumosity
  28. Lundbeck
  29. Merck Co., Inc.
  30. Meso Scale Diagnostics, LLC.
  31. NeuroRx Research
  32. Neurotrack Technologies
  33. Novartis Pharmaceuticals Corporation
  34. Pfizer Inc.
  35. Piramal Imaging
  36. Servier
  37. Takeda Pharmaceutical Company
  38. Transition Therapeutics
  39. Canadian Institutes of Health Research
  40. European Research Council (ERC) [851255] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

Quantifying variations in connectivity across conditions or between patient populations and appraising their functional significance are highly non-trivial tasks. Link ranking differences induce specific geometries in a convenient auxiliary space, providing fast and reliable criteria for network reconstruction parameters.
Anatomical and dynamical connectivity are essential to healthy brain function. However, quantifying variations in connectivity across conditions or between patient populations and appraising their functional significance are highly non-trivial tasks. Here we show that link ranking differences induce specific geometries in a convenient auxiliary space that are often easily recognisable at mere eye inspection. Link ranking can also provide fast and reliable criteria for network reconstruction parameters for which no theoretical guideline has been proposed.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.3
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据