Data from: Mapping serotonergic dynamics using drug-modulated molecular connectivity
收藏DataCite Commons2025-06-01 更新2025-06-15 收录
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https://datadryad.org/dataset/doi:10.5061/dryad.6djh9w1bf
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资源简介:
Understanding the complex workings of the brain is one of the most
significant challenges in neuroscience, providing insights into the
healthy brain, diseases, and the effects of potential therapeutics. A
major challenge in this field is the limitations of traditional brain
imaging techniques, which often deliver only a part of the complex puzzle
of brain function. Our research employs a novel approach named
"Molecular Connectivity" (MC), which merges the strengths of
various imaging methods to offer a comprehensive view of how molecular
imaging readouts interact across different areas of the brain. This
innovative technique bridges the gap between functional magnetic resonance
imaging (fMRI), known for its ability to monitor brain activity by
tracking blood flow, and positron emission tomography (PET), which can
depict specific molecular changes. By integrating these methods, we can
better understand the far-reaching impacts of drugs on the brain. Our
study focuses on the application of dynamic [11C]DASB PET scans to map the
distribution of serotonin transporters, a key player in regulating mood
and emotions, and examines how these are altered following the use of
methylenedioxymethamphetamine (MDMA), commonly known as ecstasy. Through a
detailed analysis comparing MC with traditional measures of brain
connectivity, we uncover significant patterns that closely align with
physiological changes. Our results reveal clear changes in molecular
connectivity after a single dose of MDMA, establishing a direct link
between the drug's effects on serotonin transporter occupancy and
changes in the brain's functional network. This work not only offers
a novel methodology for the in-depth study of brain function at the
molecular level but also opens new pathways for understanding how drugs
modulate brain activity.
提供机构:
Dryad
创建时间:
2024-12-17



