Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia
IntroductionDynamic functional network connectivity (dFNC) analysis of resting state functional magnetic resonance imaging data has yielded insights into many neurological and neuropsychiatric disorders. A common dFNC analysis approach uses hard clustering methods like k-means clustering to assign s...
Збережено в:
| Автори: | , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2024-02-01
|
| Серія: | Frontiers in Psychiatry |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1165424/full |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|