Honored to receive the Research Excellence Award at the Spring Research Day at TReNDS Center! 🏆Big thanks to everyone who has supported my work. Onwards! 🧠✨ #Neuroimaging #CenterTrends

Moreover, using only phase information from thirteen identified flows, a linear classifier decoded 23 tasks at 89.9% accuracy, outperforming network activation amplitude. This suggests the brain's key control variable is when dynamics align, not where or how much it activates.

This addresses the stability–flexibility problem: how does flexible task activation arise from stable FC architecture? Assuming stable flows, our framework reconstructs 23 task activation maps (mean R = 0.73) while preserving FC topology across all task states.

Flows are identified by modeling coherence among intrinsic networks, referred to as intrinsic network flows (INFs). Remarkably, the flow sequence of the dominant flow (INF 1) — the one contributing most to dynamics — closely resembles the joint embedding of FC gradients 1 and 2.

Happy to share my first work as a postdoc!🎉 We show diverse cognition can emerge by retiming stable intrinsic flows. Such flows reconstruct FC, whole-brain gradients, and even 23 task activations via phase alone, unifying resting & task dynamics. #neuroskyence #Neuroimaging #CenterTrends

Honored to receive the Innovation Poster Award at the Functional Neuroimaging Frontiers Symposium. Grateful to be part of such an inspiring research community.
#Neuroimaging #TReNDS

These modes reveal how cortex, subcortex, and cerebellum participate in coherent large-scale dynamics.

They relate to domain-general cognition, show genetic influence, and generalize across tasks.

Previously posted; propagation modes were shown before—now officially out!

📢 Our paper is now published in NeuroImage!
🔗 doi.org/10.1016/j.ne...
"Large-scale signal propagation modes in the human brain"
Various (9+) dynamic features—incl. waves, QPPs, and static/dynamic FC—are parsimoniously explained by 5 propagation modes.

#neuroskyence #Neuroimaging #NeuralField

#neuroskyence #Neuroimaging

These modes reveal how cortex, subcortex, and cerebellum participate in coherent large-scale dynamics.

They relate to domain-general cognition, show genetic influence, and generalize across tasks.

Previously posted; propagation modes were shown before—now officially out!

I'd love to join!!

I'd love to join!

🤔 How dominant is hemispheric lateralization in brain dynamics?

Our work indicates that interhemispheric communication is the 5th dominant propagation mode. 🧠

Faster communication is linked to better cognitive abilities! ✨

👉 Watch our video to see this propagation.

#neuroskyence #neuroimaging

I definitely need to read this. Thanks for the awesome work!

I'd love to join!! Thanks in advance!

This is what I’ve been looking for—I'd love to join!

This is another mode! 🎥

We found that the relative dominance of these two modes correlates with general cognitive abilities. 🧠✨

#TripleNetworks #CognitiveScience
#Neuroscience

How does the brain allocate resources among the Triple Networks (DMN, CEN, SN)? 🧠

Our recent findings suggest that SN activation can lead to either the DMN or CEN with anticorrelated rebounds between them.

Check out the two videos to see these transitions 🎥✨ #TripleNetworks

➡️ One mode.

Truly inspiring work!

Thank you so much! I'd love to connect and keep you updated with my upcoming work—please feel free to follow me.

I’m thrilled to share our latest research paper, available on bioRxiv. In this study, we elucidated fundamental signal propagation modes representing unique aspects of neural resource allocation across established large-scale networks.

The video I’m sharing highlights one of these five modes.