The synthetic ceramide analog l-PDMP partially protects striatal dopamine levels but does not promote dopamine neuron survival in murine models of parkinsonism

2006 ◽  
Vol 1099 (1) ◽  
pp. 199-205 ◽  
Author(s):  
J.S. Schneider ◽  
K.A. Bradbury ◽  
Yoshihiro Anada ◽  
Jin-ichi Inokuchi ◽  
D.W. Anderson
1998 ◽  
Vol 813 (2) ◽  
pp. 313-322 ◽  
Author(s):  
Günter U Höglinger ◽  
Jürgen Sautter ◽  
Morten Meyer ◽  
Christian Spenger ◽  
Rolf W Seiler ◽  
...  

2001 ◽  
Vol 168 (1) ◽  
pp. 183-191 ◽  
Author(s):  
Edward D. Clarkson ◽  
W.Michael Zawada ◽  
K.Pat Bell ◽  
James E. Esplen ◽  
Paul K. Choi ◽  
...  

2007 ◽  
Vol 1134 ◽  
pp. 33-44 ◽  
Author(s):  
Caryl E. Sortwell ◽  
William J. Bowers ◽  
Scott E. Counts ◽  
Mark R. Pitzer ◽  
Matthew F. Fleming ◽  
...  

2021 ◽  
Author(s):  
Korleki Akiti ◽  
Iku Tsutsui-Kimura ◽  
Yudi Xie ◽  
Alexander Mathis ◽  
Jeffrey Markowitz ◽  
...  

Animals exhibit diverse behavioral responses, such as exploration and avoidance, to novel cues in the environment. However, it remains unclear how dopamine neuron-related novelty responses influence behavior. Here, we characterized dynamics of novelty exploration using multi-point tracking (DeepLabCut) and behavioral segmentation (MoSeq). Novelty elicits a characteristic sequence of behavior, starting with investigatory approach and culminating in object engagement or avoidance. Dopamine in the tail of striatum (TS) suppresses engagement, and dopamine responses were predictive of individual variability in behavior. Behavioral dynamics and individual variability were explained by a novel reinforcement learning (RL) model of threat prediction, in which behavior arises from a novelty-induced initial threat prediction (akin to shaping bonus), and a threat prediction that is learned through dopamine-mediated threat prediction errors. These results uncover an algorithmic similarity between reward- and threat-related dopamine sub-systems.


Cell ◽  
2018 ◽  
Vol 174 (6) ◽  
pp. 1436-1449.e20 ◽  
Author(s):  
Celine I. Maeder ◽  
Jae-Ick Kim ◽  
Xing Liang ◽  
Konstantin Kaganovsky ◽  
Ao Shen ◽  
...  

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Ting Zhou ◽  
Tae Wan Kim ◽  
Chi Nok Chong ◽  
Lei Tan ◽  
Sadaf Amin ◽  
...  

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