Long-lasting, subtype-specific regulation of somatostatin interneurons during sensory learning

Somatostatin (SST)-expressing inhibitory neurons are a major class of neocortical γ-aminobutyric acid neurons, where morphological, electrophysiological, and transcriptomic analyses indicate more than a dozen different subtypes. However, whether this diversity is related to specific roles in cortical computations and plasticity remains unclear. Here, we identify learning-dependent, subtype-specific plasticity in layer 2/3 SST neurons of the mouse somatosensory cortex. Martinotti-type, SST neurons expressing calbindin-2 show a selective decrease in excitatory synaptic input and stimulus-evoked calcium responses, as mice learn a stimulus-reward association. Using these insights, we develop a label-free classifier using basal activity from in vivo imaging that accurately predicts learning-associated response plasticity. Our data indicate that molecularly defined SST neuron subtypes play specific and highly regulated roles in sensory information processing and learning.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-08-15
DOI
https://doi.org/10.1126/sciadv.adt8956
Citations
4
Primary Topic
Photoreceptor and optogenetics research
Type
article
Field-Weighted Citation Impact
3.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long-lasting, subtype-specific regulation of somatostatin interneurons during sensory learning

Matthew B. Mosso, Alison L. Barth, Mo Zhu, Eunsol Park et al.
4 citations
Science Advances
Photoreceptor and optogenetics research
3.64
article

Long-lasting, subtype-specific regulation of somatostatin interneurons during sensory learning

Matthew B. Mosso, Alison L. Barth, Mo Zhu, Eunsol Park, Xiaoyang Ma
article en
4 citations

Abstract

Somatostatin (SST)-expressing inhibitory neurons are a major class of neocortical γ-aminobutyric acid neurons, where morphological, electrophysiological, and transcriptomic analyses indicate more than a dozen different subtypes. However, whether this diversity is related to specific roles in cortical computations and plasticity remains unclear. Here, we identify learning-dependent, subtype-specific plasticity in layer 2/3 SST neurons of the mouse somatosensory cortex. Martinotti-type, SST neurons expressing calbindin-2 show a selective decrease in excitatory synaptic input and stimulus-evoked calcium responses, as mice learn a stimulus-reward association. Using these insights, we develop a label-free classifier using basal activity from in vivo imaging that accurately predicts learning-associated response plasticity. Our data indicate that molecularly defined SST neuron subtypes play specific and highly regulated roles in sensory information processing and learning.

Science AdvancesVol. 11(33)
Center for the Neural Basis of Cognition (US), Carnegie Mellon University (US)
Openalex Percentile: Top 7%
Photoreceptor and optogenetics research
3.64
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.