Kathryn K. Walder-Christensen

A multisite LFP network (EN-Withdrawal), found with supervised dCSFA-NMF in fentanyl-withdrawing mice, classifies morphine withdrawal, tracks behavioral severity, and its rise predicts fentanyl self-administration escalation in experienced mice.

The paper engineers an electrical synapse in mice using fish connexins to modulate neural circuits and behavior.

The paper examines how brain regions involved in emotion regulation encode sleep-wake states in mice using electrophysiological recordings and develops classifiers to distinguish sleep states from neural activity.

The paper edits a specific class of chemical synapses in a genetic OCD mouse model to prevent excessive grooming behavior.

The paper identifies a multi-region brain network that encodes anxiety in healthy and depressive states using electrical recordings and machine learning in mice.

The paper shows that editing a specific brain circuit in mice reduces violent behavior without affecting non-aggressive social interactions.

The paper develops engineered gap junction hemichannels to enable precise, long-term neural circuit editing in mammals by enabling communication between distinct cell types.

The paper identifies a brain network encoding socioemotional behavior using machine learning on electrical activity from mice during social interactions.

This study shows that ankyrin-G regulates forebrain connectivity and network synchronization through its interaction with GABARAP, and identifies a variant linked to bipolar disorder.

This paper identifies a cellular mechanism involving giant ankyrin-B that leads to stochastic axon projections and contributes to neurodiversity and ASD.