1.9k citations · 4k across the 27 of their papers we have counts for
30 papers
Deep Representations for Time-varying Brain Datasets
Sikun Lin, Shuyun Tang, Scott Grafton +1
Finding an appropriate representation of dynamic activities in the brain is crucial for many downstream applications. Due to its highly dynamic nature, temporally averaged fMRI (fu…
M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers
Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton +2
Video editing tools are widely used nowadays for digital design. Although the demand for these tools is high, the prior knowledge required makes it difficult for novices to get sta…
StressNet: Detecting Stress in Thermal Videos
Satish Kumar, A S M Iftekhar, Michael Goebel +7
Precise measurement of physiological signals is critical for the effective monitoring of human vital signs. Recent developments in computer vision have demonstrated that signals su…
Crystallinity characterization of white matter in the human brain
Erin G. Teich, Matthew Cieslak, Barry Giesbrecht +4
White matter microstructure underpins cognition and function in the human brain through the facilitation of neuronal communication, and the non-invasive characterization of this st…
Flexibility of brain regions during working memory curtails cognitive consequences to lack of sleep
Nina Lauharatanahirun, Kanika Bansal, Steven M. Thurman +7
Previous research has shown a clear relationship between sleep and memory, examining the impact of sleep deprivation on key cognitive processes over very short durations or in spec…
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning
Tsu-Jui Fu, Xin Eric Wang, Scott Grafton +2
Iterative Language-Based Image Editing (IL-BIE) tasks follow iterative instructions to edit images step by step. Data scarcity is a significant issue for ILBIE as it is challenging…
Estimating localized complexity of white-matter wiring with GANs
Haraldur T. Hallgrimsson, Richika Sharan, Scott T. Grafton +1
In-vivo examination of the physical connectivity of axonal projections through the white matter of the human brain is made possible by diffusion weighted magnetic resonance imaging…
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling
Tsu-Jui Fu, Xin Eric Wang, Matthew Peterson +3
Vision-and-Language Navigation (VLN) is a task where agents must decide how to move through a 3D environment to reach a goal by grounding natural language instructions to the visua…
Spatial Coherence of Oriented White Matter Microstructure: Applications to White Matter Regions Associated with Genetic Similarity
Haraldur T. Hallgrímsson, Matthew Cieslak, Luca Foschini +2
We present a method to discover differences between populations with respect to the spatial coherence of their oriented white matter microstructure in arbitrarily shaped white matt…
Analytic tractography: A closed-form solution for estimating local white matter connectivity with diffusion MRI
Matthew Cieslak, Tegan Brennan, Wendy Meiring +5
White matter structures composed of myelinated axons in the living human brain are primarily studied by diffusion-weighted MRI (dMRI). These long-range projections are typically ch…
Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case
Konstantinos Slavakis, Shiva Salsabilian, David S. Wack +5
This paper advocates Riemannian multi-manifold modeling in the context of network-wide non-stationary time-series analysis. Time-series data, collected sequentially over time and a…
Brain State Flexibility Accompanies Motor-Skill Acquisition
Pranav G. Reddy, Marcelo G. Mattar, Andrew C. Murphy +4
Learning requires the traversal of inherently distinct cognitive states to produce behavioral adaptation. Yet, tools to explicitly measure these states with non-invasive imaging --…
Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity
Danielle S. Bassett, Ankit N. Khambhati, Scott T. Grafton
Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems that are composed of many interacting parts. These interactions form intricate pat…
Explicitly Linking Regional Activation and Function Connectivity: Community Structure of Weighted Networks with Continuous Annotation
Andrew C. Murphy, Shi Gu, Ankit N. Khambhati +4
A major challenge in neuroimaging is understanding the mapping of neurophysiological dynamics onto cognitive functions. Traditionally, these maps have been constructed by examining…
The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure
Shi Gu, Matthew Cieslak, Benjamin Baird +4
A critical mystery in neuroscience lies in determining how anatomical structure impacts the complex functional dynamics of human thought. How does large-scale brain circuitry const…
Optimal Trajectories of Brain State Transitions
Shi Gu, Richard F. Betzel, Matthew Cieslak +4
The complexity of neural dynamics stems in part from the complexity of the underlying anatomy. Yet how the organization of white matter architecture constrains how the brain transi…
Individual Differences in Dynamic Functional Brain Connectivity Across the Human Lifespan
Elizabeth N. Davison, Benjamin O. Turner, Kimberly J. Schlesinger +4
Individual differences in brain functional networks may be related to complex personal identifiers, including health, age, and ability. Understanding and quantifying these differen…
Structural Pathways Supporting Swift Acquisition of New Visuo-Motor Skills
Ari E. Kahn, Marcelo G. Mattar, Jean M. Vettel +3
Human skill learning requires fine-scale coordination of distributed networks of brain regions that are directly linked to one another by white matter tracts to allow for effective…
Accurately Predicting Functional Connectivity from Diffusion Imaging
Cassiano O. Becker, Sergio Pequito, George J. Pappas +4
Understanding the relationship between the dynamics of neural processes and the anatomical substrate of the brain is a central question in neuroscience. On the one hand, modern neu…
Graph Frequency Analysis of Brain Signals
Weiyu Huang, Leah Goldsberry, Nicholas F. Wymbs +3
This paper presents methods to analyze functional brain networks and signals from graph spectral perspectives. The notion of frequency and filters traditionally defined for signals…
Brain Network Adaptability Across Task States
Elizabeth N. Davison, Kimberly J. Schlesinger, Danielle S. Bassett +4
Activity in the human brain moves between diverse functional states to meet the demands of our dynamic environment, but fundamental principles guiding these transitions remain poor…
Learning about Learning: Human Brain Sub-Network Biomarkers in fMRI Data
Petko Bogdanov, Nazli Dereli, Danielle S. Bassett +2
It has become increasingly popular to study the brain as a network due to the realization that functionality cannot be explained exclusively by independent activation of specialize…
Controllability of Brain Networks
Shi Gu, Fabio Pasqualetti, Matthew Cieslak +2
Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behavior. Fundamental principles constraining these dynamic network p…
Learning-Induced Autonomy of Sensorimotor Systems
Danielle S. Bassett, Muzhi Yang, Nicholas F. Wymbs +1
Distributed networks of brain areas interact with one another in a time-varying fashion to enable complex cognitive and sensorimotor functions. Here we use novel network analysis a…