Hang Yang (杨航)

Excited to share our work “Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition,” now out at @pnas.org www.pnas.org/doi/10.1073/....

In summary, we identified a stable and reproducible connectional axis of edge-level FC variability, which aligns with structural connectivity variability, evolves with development, and is associated with higher-order cognition /end.

Excited to share our work “Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition,” now out at @pnas.org www.pnas.org/doi/10.1073/....

Our findings were consistent across both the HCP-D and HCP-YA datasets. Additionally, we replicated these results in an independent youth cohort collected by our lab over the past two years, further demonstrating the robustness and generalizability of our findings 9/n.

Excited to share our work “Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition,” now out at @pnas.org www.pnas.org/doi/10.1073/....

To assess the development of the FC variability axis, we calculated its slope. During youth, the variability axis slope declines with age, primarily driven by reduced FC variability in connections between association networks 7/n.

Excited to share our work “Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition,” now out at @pnas.org www.pnas.org/doi/10.1073/....

Next, we ranked FC variability across all 21 within- and between-network connections to define the “connectional variability axis.” Association-association (A-A) connections occupy the top of the axis, while sensorimotor-association (S-A) connections anchor the base 5/n.

Excited to share our work “Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition,” now out at @pnas.org www.pnas.org/doi/10.1073/....

We analyzed edge-level FC variability and summarized within- and between-network averages using the Yeo atlas. FC variability was heterogeneously distributed across connectome edges and consistent between datasets 3/n.

Excited to share our work “Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition,” now out at @pnas.org www.pnas.org/doi/10.1073/....

Regional FC variability is heterogeneously distributed across the cortex, decreasing progressively from higher-order association to primary sensorimotor cortices (Mueller et al., 2013, Neuron). However, edge-level details remain unclear 1/n.