A probabilistic atlas of the human ventral tegmental area (VTA) based on 7 Tesla MRI data
| Autor: | Birte U. Forstmann, Laura Fontanesi, Bernhard Hommel, Pierre-Louis Bazin, Martijn J. Mulder, Anne C. Trutti |
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| Přispěvatelé: | Psychology Other Research (FMG), FMG, Brain and Cognition, Brein en Cognitie (Psychologie, FMG), Experimental Psychology (onderzoeksprogramma PF), Helmholtz Institute, Leerstoel Kenemans |
| Rok vydání: | 2020 |
| Předmět: |
Histology
Computer science Neuroscience(all) Cognitive neuroscience Data description Midbrain 03 medical and health sciences 0302 clinical medicine Reward Region of interest medicine 7 tesla mri Humans 7 T MRI Probabilistic atlas 030304 developmental biology 0303 health sciences Brain Mapping medicine.diagnostic_test General Neuroscience Ventral Tegmental Area Subcortex Magnetic Resonance Imaging Ventral tegmental area medicine.anatomical_structure Original Article Anatomy Functional magnetic resonance imaging Neuroscience 030217 neurology & neurosurgery VTA |
| Zdroj: | Brain Structure & Function Brain Structure and Function, 226(4), 1155-1167. Springer Verlag Brain Structure and Function Brain Structure & Function, 226(4), 1155. Springer Verlag Brain structure & function |
| ISSN: | 1863-2661 1863-2653 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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