Deep brain imaging of neuronal activity in sensory thalamus during innate and learned avoidance behavior

Avoidance behaviors are critical for survival, enabling organisms to respond effectively to potential threats in their environment. While much is known about how cortical and limbic brain areas contribute to avoidance behavior, the role of the auditory thalamus (medial geniculate body - MGB) in mediating these active defensive responses has not been addressed to this date. Here I investigate how MGB neurons encode both innate and learned avoidance. Using a miniature microscope imaging approach, I monitor the activity of MGB neurons in freely moving mice across multiple days of exploratory tests and active avoidance task. I found that MGB neurons display a variety of plasticity profiles upon danger-predicting auditory stimuli. Furthermore, the population level encoding of auditory stimuli underwent prominent changes as learning progresses, resulting in a coherent neural representation in MGB. Besides the learned avoidance, the role of MGB in encoding innate avoidance behavior is explored. Notably, MGB exhibited distinctly opposing patterns of activity, dynamically encoding innate safety and danger during exploration of different environments. Moreover, the data shows MGB neurons modify their responses after avoidance training which has not been manifested in behavioral read-outs post-training. This research extends our understanding of sensory processing in the medial geniculate body and provides new insights into the neural mechanisms underlying avoidance behavior.

Institutions

Publication Details

Journal
bonndoc (University of Bonn)
Published
2025-11-06
DOI
https://doi.org/10.48565/bonndoc-703
Primary Topic
Memory and Neural Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deep brain imaging of neuronal activity in sensory thalamus during innate and learned avoidance behavior

bonndoc (University of Bonn)
Memory and Neural Mechanisms
article

Deep brain imaging of neuronal activity in sensory thalamus during innate and learned avoidance behavior

article en

Abstract

Avoidance behaviors are critical for survival, enabling organisms to respond effectively to potential threats in their environment. While much is known about how cortical and limbic brain areas contribute to avoidance behavior, the role of the auditory thalamus (medial geniculate body - MGB) in mediating these active defensive responses has not been addressed to this date. Here I investigate how MGB neurons encode both innate and learned avoidance. Using a miniature microscope imaging approach, I monitor the activity of MGB neurons in freely moving mice across multiple days of exploratory tests and active avoidance task. I found that MGB neurons display a variety of plasticity profiles upon danger-predicting auditory stimuli. Furthermore, the population level encoding of auditory stimuli underwent prominent changes as learning progresses, resulting in a coherent neural representation in MGB. Besides the learned avoidance, the role of MGB in encoding innate avoidance behavior is explored. Notably, MGB exhibited distinctly opposing patterns of activity, dynamically encoding innate safety and danger during exploration of different environments. Moreover, the data shows MGB neurons modify their responses after avoidance training which has not been manifested in behavioral read-outs post-training. This research extends our understanding of sensory processing in the medial geniculate body and provides new insights into the neural mechanisms underlying avoidance behavior.

bonndoc (University of Bonn)
University of Bonn (DE)
Openalex Percentile: Top 42%
Memory and Neural Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.