Surrogate data analyses of the energy landscape analysis of resting-state brain activity
The spatiotemporal dynamics of resting-state brain activity can be characterized by switching between multiple brain states, and numerous techniques have been developed to extract such dynamic features from resting-state functional magnetic resonance imaging (fMRI) data. However, many of these techn...
Saved in:
| Main Authors: | Yuki Hosaka, Takemi Hieda, Ruixiang Li, Kenji Hayashi, Koji Jimura, Teppei Matsui |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-03-01
|
| Series: | Frontiers in Neural Circuits |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fncir.2025.1500227/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhancing prediction of human traits and behaviors through ensemble learning of traditional and novel resting-state fMRI connectivity analyses
by: Takaaki Yoshimoto, et al.
Published: (2024-12-01) -
Resting-state fMRI reveals brain functional alterations linked to balance disorders in vestibular migraine patients
by: Xia Zhe, et al.
Published: (2025-04-01) -
Resting-State Functional MRI in Dyslexia: A Systematic Review
by: Bruce Martins, et al.
Published: (2025-05-01) -
Resting state brain network segregation is associated with walking speed and working memory in older adults
by: Sumire D. Sato, et al.
Published: (2025-04-01) -
Dogs’ olfactory resting-state functional connectivity is modulated by age and brain shape
by: Asami Nakaimuki, et al.
Published: (2025-04-01)