scholarly journals Insulin in the ventral tegmental area reduces cocaine‐evoked dopamine in the nucleus accumbens in vivo

2018 ◽  
Vol 50 (3) ◽  
pp. 2146-2155 ◽  
Author(s):  
Lindsay Naef ◽  
Lauren Seabrook ◽  
Jeff Hsiao ◽  
Calvin Li ◽  
Stephanie L. Borgland
Keyword(s):  
Nucleus Accumbens ◽  
Ventral Tegmental Area ◽  
Ventral Tegmental

Eating and drinking cause increased dopamine release in the nucleus accumbens and ventral tegmental area in the rat: Measurement by in vivo microdialysis

1992 ◽  
Vol 139 (1) ◽  
pp. 73-76 ◽  
Author(s):  
Masami Yoshida ◽  
Hideyasu Yokoo ◽  
Katsuhiro Mizoguchi ◽  
Hiroshi Kawahara ◽  
Akira Tsuda ◽  
...  
Keyword(s):  
Nucleus Accumbens ◽  
Ventral Tegmental Area ◽  
Dopamine Release ◽  
In Vivo Microdialysis ◽  
Ventral Tegmental

scholarly journals A probabilistic atlas of the human ventral tegmental area (VTA) based on 7 Tesla MRI data

2021 ◽  
Vol 226 (4) ◽  
pp. 1155-1167 ◽  
Author(s):  
Anne C. Trutti ◽  
Laura Fontanesi ◽  
Martijn J. Mulder ◽  
Pierre-Louis Bazin ◽  
Bernhard Hommel ◽  
...  
Keyword(s):  
Ventral Tegmental Area ◽  
Region Of Interest ◽  
Reward Processing ◽  
7 Tesla ◽  
Subcortical Structures ◽  
7 Tesla Mri ◽  
Subcortical Nuclei ◽  
Ventral Tegmental ◽  
The Brain

AbstractFunctional magnetic resonance imaging (fMRI) BOLD signal is commonly localized by using neuroanatomical atlases, which can also serve for region of interest analyses. Yet, the available MRI atlases have serious limitations when it comes to imaging subcortical structures: only 7% of the 455 subcortical nuclei are captured by current atlases. This highlights the general difficulty in mapping smaller nuclei deep in the brain, which can be addressed using ultra-high field 7 Tesla (T) MRI. The ventral tegmental area (VTA) is a subcortical structure that plays a pivotal role in reward processing, learning and memory. Despite the significant interest in this nucleus in cognitive neuroscience, there are currently no available, anatomically precise VTA atlases derived from 7 T MRI data that cover the full region of the VTA. Here, we first provide a protocol for multimodal VTA imaging and delineation. We then provide a data description of a probabilistic VTA atlas based on in vivo 7 T MRI data.

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