Resting-state FC has long been a source of debate. Recent evidence suggests that task-like patterns dominate its signal. To study less dominant components, we introduced a caricaturing method to project the data to a subspace orthogonal to these patterns.
https://t.co/B5S7xxReOk
There is still much to learn about caricatured FC, but we conclude that dominant task-like patterns are not the only useful signals. What the caricatured data represents and how it can be optimized for downstream applications are exciting questions ready for future exploration.
Use machine learning in🧠research or for other high-dimensional data?
Curious about its robustness to data manipulations ("trustworthiness")?
Check out our new article in @Patterns_CP and thread ⬇️ https://t.co/WH6fkdRWEi
Curious about how frailty may be an indicator of other health outcomes? We present new work that suggests a link between frailty and >300 health-related outcomes, especially those relating to mental health, which may be mediated by brain structure. Now out in @LancetDigitalH
1/5 Remember when @sNeuroble went Super Saiyan?
https://t.co/oI0fLY1YED
We made it edgier, addressing a question that arises from her cNBS work–how to pool edges? In our new work, we explore the use of edge-centric, rather than node-centric, networks.
https://t.co/D5pQS5PV8L
Do you use cluster-level inference to pinpoint effects? 🧠🎯
Are you concerned about power? 🔍
Then we have a simple message for you:
Level Up 💪🏾
https://t.co/9xg2wHgjGd
w/ @DScheinost@mandyfmejia@AndrewZalesky@PNASNews
1/6
4/5 Here, we introduced a statistical application of the edge-centric framework popularized by @joshfasky, @richardfbetzel, and others. We still have much to learn about edge-centric networks, but as edge-centric research progresses, we anticipate power will continue to increase.
Are you in a neuroscience-related field? We are seeking online survey participants for the study: “Opinions on self-citation rates in neuroscience research”. It will only take about 10 mins if you are interested in participating: https://t.co/fCiIVui0xK