Vestibular nucleus stimulation for ameliorating locomotor dynamics in a Parkinsonian mouse model

J Johannes Hartig M Maximilian Uwe Friedrich J Jérémy Signoret-Genest M Maria Gruber S Sawako Tabuchi H Hamidreza Alimohammadi M Max Leuschner N Nina Schöneberg R Robert Peach D Dennis Doll T Tobias Petschner A Amélie Neumann S Susanne Knorr J Jens Volkmann P Philip Tovote C Chi Wang Ip

Abstract

Abstract Postural and locomotor dysfunction represent axial symptoms of Parkinson’s disease (PD), which remain poorly treated by medication and deep brain stimulation. Whilst non-invasive neuromodulation of the vestibular system via the vestibular nucleus complex (VNC) offers a novel therapeutic avenue, the underlying circuits are still poorly characterized. Here we show that the mouse VNC feeds extensive Vglut2 -defined projections into striato-thalamo-subthalamic and caudal medulla motor hubs and receives substantial input from the sensorimotor cortex. Optogenetic activation of excitatory VNC neurons at sub-symptomatic intensities increased cFos -based activity in basal ganglia-associated and brainstem motor targets. Unbiased pose dynamics and motion analysis respectively showed enhancement of behavioural modularity and locomotion with threshold-level stimulation. In a mouse model of PD, the latter further favored naturalistic gait patterns through improved motor coordination. Our data identify excitatory VNC processes as candidates for therapeutic targeting of axial motor dysfunction in the context of PD.

Article Details

Volume / Issue Vol. 17, Issue 1
Published August 04, 2026
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (16)

J

Johannes Hartig

M

Maximilian Uwe Friedrich

J

Jérémy Signoret-Genest

M

Maria Gruber

S

Sawako Tabuchi

H

Hamidreza Alimohammadi

M

Max Leuschner

N

Nina Schöneberg

R

Robert Peach

D

Dennis Doll

T

Tobias Petschner

A

Amélie Neumann

S

Susanne Knorr

J

Jens Volkmann

P

Philip Tovote

C

Chi Wang Ip