Rainbo C. Hultman

Coordinated Brain-Network Dynamics of Maternal Adaptation

This study identifies distinct neural networks in mice during maternal stages and behaviors, showing their role in maternal adaptation and stress susceptibility.

Early Life Stress induces brain-wide electrical network predisposition to migraine

This study shows early life stress increases vulnerability to migraine by altering brain network activity in response to CGRP.

Long-term editing of brain circuits in mice using an engineered electrical synapse

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

Transcriptomic Evaluation of Stress Vulnerability Network using Single Cell RNA-Seq in mouse Prefrontal Cortex

This study uses scRNA-seq in mouse prefrontal cortex to identify gene expression patterns associated with stress vulnerability network activity, finding key roles for astrocytes, glutamatergic neurons, and GABAergic neurons.

An electrical brain network encodes anxiety in health and depressive states

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

A critical role for touch neurons in a skin-brain pathway for stress resilience

This study identifies a skin-brain touch pathway involving Mrgprb4-lineage touch neurons that promotes stress resilience by modulating neural activity and corticosterone levels in mice.

Long-term precision editing of neural circuits in mammals using engineered gap junction hemichannels

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

A Role for Gαz in regulating seizure susceptibility

This study investigates the role of Gαz in seizure susceptibility by analyzing Gz-null mice and finding increased seizure susceptibility and electrographic seizure activity.

A convergent depression vulnerability pathway encoded by emergent spatiotemporal dynamics

The paper identifies a spatiotemporal dynamic network in the brain associated with depression vulnerability using machine learning and LFP data from stressed mice.