ロード中...
Generation of Individual Whole-Brain Atlases With Resting-State fMRI Data Using Simultaneous Graph Computation and Parcellation
The human brain can be characterized as functional networks. Therefore, it is important to subdivide the brain appropriately in order to construct reliable networks. Resting-state functional connectivity-based parcellation is a commonly used technique to fulfill this goal. Here we propose a novel in...
保存先:
| 出版年: | Front Hum Neurosci |
|---|---|
| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2018
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5945868/ https://ncbi.nlm.nih.gov/pubmed/29780309 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2018.00166 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|