7 citations · 12 across the 16 of their papers we have counts for
17 papers
MSR-IVA: Masked Structural Residual Independent Vector Analysis for State-Aware Fusion of Structural MRI and Dynamic Functional Network Connectivity
Victor Solomon, Zening Fu, Rafal Angryk +2
Multimodal fusion of structural MRI (sMRI) and dynamic functional network connectivity (dFNC) can reveal how brain structure relates to changing functional states. When the same st…
Batch Effects In Brain Foundation Model Embeddings
Ye Tao, Bradley T. Baker, Yu Wu +4
Foundation models show strong potential for large-scale, high-dimensional biomedical applications, yet their ability to capture relevant neurobiological characteristics remains und…
Learning Structural-Functional Brain Representations through Multi-Scale Adaptive Graph Attention for Cognitive Insight
Badhan Mazumder, Sir-Lord Wiafe, Aline Kotoski +2
Understanding how brain structure and function interact is key to explaining intelligence yet modeling them jointly is challenging as the structural and functional connectome captu…
NeuroBRIDGE: Behavior-Conditioned Koopman Dynamics with Riemannian Alignment for Early Substance Use Initiation Prediction from Longitudinal Functional Connectome
Badhan Mazumder, Sir-Lord Wiafe, Vince D. Calhoun +1
Early identification of adolescents at risk for substance use initiation (SUI) is vital yet difficult, as most predictors treat connectivity as static or cross-sectional and miss h…
Conditioning on a Volatility Proxy Compresses the Apparent Timescale of Collective Market Correlation
Yuda Bi, Vince D Calhoun
We address the attribution problem for apparent slow collective dynamics: is the observed persistence intrinsic, or inherited from a persistent driver? For the leading eigenvalue f…
Robust State-space Reconstruction of Brain Dynamics via Bootstrap Monte Carlo SSA
Sir-Lord Wiafe, Carter Hinsley, Vince D. Calhoun
Reconstructing latent state-space geometry from time series provides a powerful route to studying nonlinear dynamics across complex systems. Delay-coordinate embedding provides the…
Warp Quantification Analysis: A Framework For Path-based Signal Alignment Metrics
Sir-Lord Wiafe, Vince D. Calhoun
Dynamic time warping (DTW) is widely used to align time series evolving on mismatched timescales, yet most applications reduce alignment to a scalar distance. We introduce warp qua…
Complex-valued Phase Synchrony Reveals Directional Coupling in FMRI and Tracks Medication Effects
Sir-Lord Wiafe, Najme Soleimani, Masoud Seraji +4
Understanding interactions in complex systems requires capturing the relative timing of coupling, not only its strength. Phase synchronization captures this timing, yet most method…
Causal Graph Recovery in Neuroimaging through Answer Set Programming
Mohammadsajad Abavisani, Kseniya Solovyeva, David Danks +2
Learning graphical causal structures from time series data presents significant challenges, especially when the measurement frequency does not match the causal timescale of the sys…
Functional Correspondences in the Human and Marmoset Visual Cortex During Movie Watching: Insights from Correlation, Redundancy, and Synergy
Qiang Li, Ting Xu, Vince D. Calhoun
The world of beauty is deeply connected to the visual cortex, as perception often begins with vision in both humans and marmosets. In this study, to investigate their functional co…
Copula-Linked Parallel ICA: A Method for Coupling Structural and Functional MRI brain Networks
Oktay Agcaoglu, Rogers F. Silva, Deniz Alacam +3
Different brain imaging modalities offer unique insights into brain function and structure. Combining them enhances our understanding of neural mechanisms. Prior multimodal studies…
Correlation of Correlation Networks: High-Order Interactions in the Topology of Brain Networks
Qiang Li, Jingyu Liu, Vince D. Calhoun
To understand collective network behavior in the complex human brain, pairwise correlation networks alone are insufficient for capturing the high-order interactions that extend bey…
The Dynamics of Triple Interactions in Resting fMRI: Insights into Psychotic Disorders
Qiang Li, Vince D. Calhoun, Armin Iraji
The human brain dynamically integrated and configured information to adapt to the environment. To capture these changes over time, dynamic second-order functional connectivity was…
Generalized Dynamic Brain Functional Connectivity Based on Random Convolutions
Yongjie Duan, Vince D. Calhoun, Zhiying Long
Dynamic functional connectivity (DFC) analysis has been widely applied to functional magnetic resonance imaging (fMRI) data to reveal time-varying dynamic changes of brain states.…
Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment
Bradley T. Baker, Mustafa S. Salman, Zening Fu +4
In the clinical treatment of mood disorders, the complex behavioral symptoms presented by patients and variability of patient response to particular medication classes can create d…
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse
Bradley T. Baker, Barak A. Pearlmutter, Robyn Miller +2
Our understanding of learning dynamics of deep neural networks (DNNs) remains incomplete. Recent research has begun to uncover the mathematical principles underlying these networks…
Aberrant High-Order Dependencies in Schizophrenia Resting-State Functional MRI Networks
Qiang Li, Vince D. Calhoun, Adithya Ram Ballem +3
The human brain has a complex, intricate functional architecture. While many studies primarily emphasize pairwise interactions, delving into high-order associations is crucial for…