TY  - JOUR
AU  - Hasegawa, Masashi
AU  - Huang, Ziyan
AU  - Paricio-Montesinos, Ricardo
AU  - Gründemann, Jan
TI  - Network state changes in sensory thalamus represent learned outcomes.
JO  - Nature Communications
VL  - 15
IS  - 1
SN  - 2041-1723
CY  - [London]
PB  - Nature Publishing Group UK
M1  - DZNE-2024-01121
SP  - 7830
PY  - 2024
AB  - Thalamic brain areas play an important role in adaptive behaviors. Nevertheless, the population dynamics of thalamic relays during learning across sensory modalities remain unknown. Using a cross-modal sensory reward-associative learning paradigm combined with deep brain two-photon calcium imaging of large populations of auditory thalamus (medial geniculate body, MGB) neurons in male mice, we identified that MGB neurons are biased towards reward predictors independent of modality. Additionally, functional classes of MGB neurons aligned with distinct task periods and behavioral outcomes, both dependent and independent of sensory modality. During non-sensory delay periods, MGB ensembles developed coherent neuronal representation as well as distinct co-activity network states reflecting predicted task outcome. These results demonstrate flexible cross-modal ensemble coding in auditory thalamus during adaptive learning and highlight its importance in brain-wide cross-modal computations during complex behavior.
KW  - Animals
KW  - Male
KW  - Mice
KW  - Geniculate Bodies: physiology
KW  - Thalamus: physiology
KW  - Reward
KW  - Neurons: physiology
KW  - Learning: physiology
KW  - Mice, Inbred C57BL
LB  - PUB:(DE-HGF)16
C2  - pmc:PMC11380690
C6  - pmid:39244616
DO  - DOI:10.1038/s41467-024-51868-8
UR  - https://pub.dzne.de/record/271987
ER  -