olfactory tubercle
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2021 ◽  
Vol 15 ◽  
Author(s):  
Kimberley Lothmann ◽  
Katrin Amunts ◽  
Christina Herold

The uptake, transmission and processing of sensory olfactory information is modulated by inhibitory and excitatory receptors in the olfactory system. Previous studies have focused on the function of individual receptors in distinct brain areas, but the receptor architecture of the whole system remains unclear. Here, we analyzed the receptor profiles of the whole olfactory system of adult male mice. We examined the distribution patterns of glutamatergic (AMPA, kainate, mGlu2/3, and NMDA), GABAergic (GABAA, GABAA(BZ), and GABAB), dopaminergic (D1/5) and noradrenergic (α1 and α2) neurotransmitter receptors by quantitative in vitro receptor autoradiography combined with an analysis of the cyto- and myelo-architecture. We observed that each subarea of the olfactory system is characterized by individual densities of distinct neurotransmitter receptor types, leading to a region- and layer-specific receptor profile. Thereby, the investigated receptors in the respective areas and strata showed a heterogeneous expression. Generally, we detected high densities of mGlu2/3Rs, GABAA(BZ)Rs and GABABRs. Noradrenergic receptors revealed a highly heterogenic distribution, while the dopaminergic receptor D1/5 displayed low concentrations, except in the olfactory tubercle and the dorsal endopiriform nucleus. The similarities and dissimilarities of the area-specific multireceptor profiles were analyzed by a hierarchical cluster analysis. A three-cluster solution was found that divided the areas into the (1) olfactory relay stations (main and accessory olfactory bulb), (2) the olfactory cortex (anterior olfactory cortex, dorsal peduncular cortex, taenia tecta, piriform cortex, endopiriform nucleus, entorhinal cortex, orbitofrontal cortex) and the (3) olfactory tubercle, constituting its own cluster. The multimodal receptor-architectonic analysis of each component of the olfactory system provides new insights into its neurochemical organization and future possibilities for pharmaceutic targeting.


2021 ◽  
Vol 46 (6) ◽  
pp. 1487-1501
Author(s):  
Bo Yang ◽  
Yawen Ao ◽  
Ying Liu ◽  
Xuefen Zhang ◽  
Ying Li ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Lars-Lennart Oettl ◽  
Max Scheller ◽  
Carla Filosa ◽  
Sebastian Wieland ◽  
Franziska Haag ◽  
...  

2020 ◽  
Vol 168 ◽  
pp. 107923 ◽  
Author(s):  
Rui Li ◽  
Yi-Qun Wang ◽  
Wen-Ying Liu ◽  
Meng-Qi Zhang ◽  
Lei Li ◽  
...  

2020 ◽  
Vol 152 (4) ◽  
pp. 425-448 ◽  
Author(s):  
Hillary L. Cansler ◽  
Katherine N. Wright ◽  
Lucas A. Stetzik ◽  
Daniel W. Wesson
Keyword(s):  

2019 ◽  
Vol 64 ◽  
pp. S412
Author(s):  
Y.-Q. Wang ◽  
R. Li ◽  
W.-Y. Liu ◽  
M.-Q. Zhang ◽  
L. Li ◽  
...  

2019 ◽  
Vol 39 (48) ◽  
pp. 9546-9559 ◽  
Author(s):  
Kate A. White ◽  
Yun-Feng Zhang ◽  
Zhijian Zhang ◽  
Janardhan P. Bhattarai ◽  
Andrew H. Moberly ◽  
...  

2019 ◽  
Author(s):  
Daniel J. Millman ◽  
Venkatesh N. Murthy

AbstractRodents can successfully learn multiple, novel stimulus-response associations after only a few repetitions when the contingencies predict reward. The circuits modified during such reinforcement learning to support decision making are not known, but the olfactory tubercle (OT) and posterior piriform cortex (pPC) are candidates for decoding reward category from olfactory sensory input and relaying this information to cognitive and motor areas. Here, we show that an explicit representation for reward category emerges in the OT within minutes of learning a novel odor-reward association, whereas the pPC lacks an explicit representation even after weeks of overtraining. The explicit reward category representation in OT is visible in the first sniff (50-100ms) of an odor on each trial, and precedes the motor action. Together, these results suggest that coding of stimulus information required for reward prediction does not occur within olfactory cortex, but rather in circuits involving the olfactory striatum.


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