Kathryn A. Davis

Electrophysiological dissociation of human posterior cingulate cortex contributions to value- and memory-based decision-making

This study identifies a functional dissociation in human posterior cingulate cortex, showing dorsal PCC integrates value and memory-based decisions while ventral PCC does not.

Mapping Whole-Brain Factors of Microstructural Similarity with Diffusion MRI

The paper identifies shared dimensions of variation in diffusion MRI statistics and maps spatial patterns of microstructural similarity across the brain.

Arousal state modulates human hippocampal ripples

This study shows that human hippocampal ripples are modulated by arousal states, occurring more frequently during low arousal periods like sleep and certain wake states.

Multiscale predictive modeling robustly improves the accuracy of pseudo-prospective seizure forecasting in drug-resistant epilepsy

This paper improves seizure forecasting in drug-resistant epilepsy by using multiscale predictive modeling of iEEG features and seizure risk, achieving a 51% increase in pseudo-prospective accuracy.

White Matter Signals Reflect Information Transmission Between Brain Regions During Seizures

This study shows white matter signals during seizures reflect communication between brain regions and differentiate epilepsy pathophysiologies, challenging past assumptions about their limited value.

Epileptiform activity and seizure risk follow long-term non-linear attractor dynamics

This paper uses HAVOK analysis to model nonlinear seizure dynamics and improves multi-day seizure risk forecasting by identifying short-period forcings.

Hyperactive neuronal networks enhance tau spread in an Alzheimer's disease mouse model

This study shows that neuronal hyperactivity and seizures increase tau spread in an Alzheimer's disease mouse model and correlate with memory deficits.

Predictive Modeling of Evoked Intracranial EEG Response to Medial Temporal Lobe Stimulation in Patients with Epilepsy

The paper develops predictive models of intracranial EEG responses to medial temporal lobe stimulation in epilepsy patients, finding distance-dependent effects and generalizable models with causal historical dependence.

DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data

DeepCombat removes batch effects from neuroimaging data using a deep learning approach, outperforming existing methods in preserving biological variation.

Odor representations from the two nostrils are temporally segregated in human piriform cortex

The paper shows that odor information from each nostril is encoded separately in the piriform cortex, with ipsilateral odors processed faster than contralateral ones.

Deep learning segmentation of the nucleus basalis of Meynert on 3T MRI

This paper develops a deep learning model to accurately segment the nucleus basalis of Meynert on 3T MRI, showing improved performance over standard atlases in both healthy subjects and TLE patients.

A Taxonomy of Seizure Spread Patterns, Speed of Spread, and Associations With Structural Connectivity

The paper develops deep learning algorithms to quantify seizure spread beyond onset zones and finds associations with structural connectivity and surgical outcomes.

A Framework for Brain Atlases: Lessons from seizure Dynamics

The paper proposes a framework for selecting brain atlases to maximize their descriptive, explanatory, and predictive validity in studying neurological function and epilepsy.

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.

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.

Multimodal in vivo recording using transparent graphene microelectrodes illuminates spatiotemporal seizure dynamics at the microscale

This paper introduces transparent graphene microelectrodes to simultaneously record microelectrocorticography and calcium fluorescence in vivo, revealing spatiotemporal seizure dynamics through non-negative matrix factorization.

The effects of direct brain stimulation in humans depend on frequency, amplitude, and white-matter proximity.

This study examines how direct brain stimulation affects neuronal activity in humans, finding that frequency, amplitude, and electrode location influence whether stimulation inhibits or excites activity.

Intracranial EEG reveals bihemispheric parietal and extra parietal brain networks supporting mental arithmetic

The paper uses intracranial EEG data to identify brain networks involved in mental arithmetic, revealing contributions from parietal and extra-parietal regions and hemispheric differences.

High interictal connectivity within the resection zone is associated with favorable post-surgical outcomes in focal epilepsy patients

A pairwise maximum entropy model uncovers the white matter scaffold underlying emergent dynamics in intracranial EEG

The paper uses a pairwise maximum entropy model to analyze intracranial EEG data and shows it captures neural dynamics and identifies white matter connections.

Genetic and Neuroanatomical Support for Functional Brain Network Dynamics in Epilepsy

This study predicts ictal and preictal brain network dynamics in epilepsy using anatomical, connectivity, and genetic features, finding white matter plays a greater role in seizure dynamics than geometry or genetics.

Local structural connectivity directs seizure spread in focal epilepsy

This study quantifies structure-function coupling between white matter connections and iEEG in epilepsy patients, finding increased coupling during seizures and its dependence on short-range structural connections.

Electrical stimulation in hippocampus and entorhinal cortex impairs spatial and temporal memory

This study uses electrical brain stimulation to show that the medial temporal lobe impairs spatial and temporal memory organization in humans.

Predictive control of electrophysiological network architecture using direct, single-node neurostimulation in humans

This study uses network control theory to predictably reconfigure brain network interactions through targeted neurostimulation in humans.

Electrophysiological signatures of spatial boundaries in the human subiculum

The paper identifies electrophysiological signatures of spatial boundaries in the human subiculum using intracranial recordings during a virtual navigation task.

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.

Recurring functional interactions predict network architecture of interictal and ictal states in neocortical epilepsy

The paper uses machine learning to analyze brain network dynamics in epilepsy patients, finding similar subgraph structures in seizure and baseline states and identifying predictive patterns for seizure onset.

Virtual cortical resection reveals push-pull network control mechanism preceding seizure evolution

The paper uses virtual cortical resection to identify push-pull control mechanisms that predict seizure evolution in epilepsy.