Jennifer Stiso

Is the brain macroscopically linear? A system identification of resting state dynamics

The paper challenges the assumption that nonlinear models are necessary for whole-brain dynamics by showing linear models achieve better fit, simplicity, and interpretability in resting state fMRI and iEEG data.

Using network control theory to study the dynamics of the structural connectome

This paper introduces a framework for applying network control theory to the human structural connectome to study neural dynamics and control energy, controllability, and their correlations with behavior and mental health.

Asymmetric Signaling Across the Hierarchy of Cytoarchitecture within the Human Connectome

The paper uses network control theory to show that bottom-up signaling across the sensory-fugal axis of the human connectome requires less energy than top-down signaling.

"Primed to Perform:" Dynamic white matter graph communicability may drive metastable network representations of enhanced preparatory cognitive control

The paper identifies preparatory neural states associated with cognitive control by analyzing white matter communicability in human intracranial recordings.

Neurophysiological evidence for cognitive map formation during sequence learning

This study links cognitive map formation during sequence learning to neural activity in the temporal lobe using behavioral modeling and iEEG recordings.

Pathological and metabolic underpinnings of energetic inefficiency in temporal lobe epilepsy

This study uses network control theory to analyze energy dynamics in temporal lobe epilepsy, finding increased control energy requirements and metabolic asymmetry in affected brain regions.

DotMotif: An open-source tool for connectome subgraph isomorphism search and graph queries

DotMotif is an open-source tool that enables efficient subgraph isomorphism search and graph queries in connectomics data, demonstrated on simulated and real datasets.

Fluctuations in functional connectivity associated with interictal epileptiform discharges (IEDs) in intracranial EEG

This study examines how interictal epileptiform discharges (IEDs) affect functional connectivity in intracranial EEG data across different frequency bands and identifies key predictors of these changes.

Racial and ethnic imbalance in neuroscience reference lists and intersections with gender

In five top neuroscience journals, papers with name-inferred first and last authors of color are under-cited, mostly by White-led teams, and the gap is growing.

Optimization of Energy State Transition Trajectory Supports the Development of Executive Function During Youth

The paper uses network control theory to show that structural brain networks mature during adolescence to reduce the energy cost of activating the frontoparietal system, supporting executive function development.

White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions

This paper uses network control theory to model how white matter tracts guide electrical stimulation in the brain, showing that real white matter structures better predict state transitions than artificial models.