A huge thank you to my incredible mentors, Tara Alvarez and @mwcole.bsky.social, for their invaluable support on this work! Please read the full paper here: doi.org/10.1162/NETN...
8/8
A huge thank you to my incredible mentors, Tara Alvarez and @mwcole.bsky.social, for their invaluable support on this work! Please read the full paper here: doi.org/10.1162/NETN...
8/8
Understanding these distributed pathways provides a new lens for clinical conditions like concussion-related oculomotor dysfunction. Itβs not just about one damaged region; itβs about how the whole network communicates. 7/8
By testing participants across separate scanning sessions, we found that these network signatures are stable. The brain's intrinsic architecture for convergent eye movements is a robust blueprint that reliably supports functional responses. 6/8
The Heavy Lifters: VIS and DAN ποΈ Which networks drive this flow? Our results showed that the Visual and Dorsal Attention networks dominate the propagation of signals during convergent eye movements. 5/8
We focused on the Cortical Circuitry of Convergence, including the primary visual cortex and frontal/parietal and supplementary eye fields. When we excluded these core regions from the model's "source," the rest of the brain's network connectivity accurately regenerated their activity. 4/8
We used Activity Flow Mapping to model how task activations arise from the propagation of activity across distributed connectivity pathways and showed that activity-flow-generated activation patterns closely match the actual task activations during convergent eye movements. 3/8
Coordinated activity across both eyes is essential for maintaining single visual perception, supporting everyday activities such as reading and interacting with digital screens. Impairments in this system can result in significant functional limitations, also seen in neurological disorders. 2/8
Our recent study, "Distributed cortical network dynamics of binocular convergent eye movements in humans" is out in Network Neuroscience, where we move beyond simple brain mapping to show that binocular convergence is driven by the flow of activity across distributed neural networks. 1/8
New online! Characteristics and mechanisms of cognitive impairment in Parkinson disease
Schematic depicting cortical-subcortical interactions during multi-task learning
Excited to see our paper with @mwcole.bsky.social finally out in peer-reviewed form @natcomms.nature.com! We examine how the human brain learns new tasks and optimizes representations over practiceβ¦1/n
Labβs latest is out in Imaging Neuroscience, led by Kirsten Peterson: βRegularized partial correlation provides reliable functional connectivity estimates while correcting for widespread confoundingβ, where we demonstrate a major improvement to standard fMRI functional connectivity (correlation) 1/n
Stories no one had heard in yearsβ¦
βCognitive flexibility as the shifting of brain network flows by flexible neural representationsβ, a solo paper by yours truly, making the case that brain activity flow shifts are essential to mental flexibility (and quite interesting too!)
Open access: www.sciencedirect.com/science/arti...
Labβs latest at PLOS Comp Biol, led by Carrisa Cocuzza: βDistributed network flows generate localized category selectivity in human visual cortexβ. This one changed how I think the brain works! Even "localized" functions are likely generated by distributed processes doi.org/10.1371/jour...