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

Trutti, A. C., Fontanesi, L., Mulder, M. J., Bazin, P.-L., Hommel, B., & Forstmann, B. U. (2021). A probabilistic atlas of the human ventral tegmental area (VTA) based on 7 Tesla MRI data. Brain Structure & Function, 226(4), 1155-1167. doi:10.1007/s00429-021-02231-w.

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 Creators:
Trutti, Anne C.1, 2, Author
Fontanesi, Laura3, Author
Mulder, Martijn J.1, 4, Author
Bazin, Pierre-Louis1, 5, Author              
Hommel, Bernhard2, Author
Forstmann, Birte U.1, 2, Author
Affiliations:
1Integrative Model-Based Cognitive Neuroscience Research Unit (IMCN), University of Amsterdam, the Netherlands, ou_persistent22              
2Cognitive Psychology Unit, Institute of Psychology, Leiden University, the Netherlands, ou_persistent22              
3Department of Economic Psychology, Faculty of Psychology, University of Basel, Switzerland, ou_persistent22              
4Department of Experimental Psychology, Utrecht University, the Netherlands, ou_persistent22              
5Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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Free keywords: 7 T MRI; Midbrain; Probabilistic atlas; Subcortex; VTA
 Abstract: Functional 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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Language(s): eng - English
 Dates: 2020-07-312021-01-262021-02-122021-05
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s00429-021-02231-w
PMID: 33580320
Other: epub 2021
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Project name : -
Grant ID : ERC-2012-Stg-313481
Funding program : -
Funding organization : European Research Council
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Grant ID : ERC-2015-AdG- 694722
Funding program : -
Funding organization : European Research Council
Project name : -
Grant ID : 452-11-008
Funding program : -
Funding organization : Netherlands Organization for Scientific Research

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Title: Brain Structure & Function
  Abbreviation : Brain Struct Funct
Source Genre: Journal
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Publ. Info: Berlin : Springer
Pages: - Volume / Issue: 226 (4) Sequence Number: - Start / End Page: 1155 - 1167 Identifier: ISSN: 1863-2653
CoNE: https://pure.mpg.de/cone/journals/resource/1863-2653