Pedro Rosa‐Neto

McGill University

Papers

1

Total Citations

13

H-Index

1

About

Pedro Rosa‐Neto is a leading neuroscientist whose work bridges advanced neuroimaging and stereotaxic techniques to deepen our understanding of the non-human primate brain. His primary research areas include multimodal image co-registration, frameless stereotaxy, and robotic neurosurgical methods, with a particular focus on the common marmoset as a translational model. His most cited work, "Co-registration of Imaging Modalities (MRI, CT and PET) to Perform Frameless Stereotaxic Robotic Injections in the Common Marmoset" (2021, 13 citations), represents a landmark contribution to precision neuroscience. In this study, Rosa‐Neto pioneered a robust pipeline for aligning MRI, CT, and PET data, enabling highly accurate, frameless robotic injections without the need for a traditional stereotaxic frame. This innovation dramatically improves reproducibility and reduces tissue damage in experimental procedures, setting a new standard for targeted neural interventions. Beyond this, his broader impact is evident in the growing adoption of these co-registration protocols across laboratories worldwide, facilitating studies on neural circuitry, disease modeling, and therapeutic delivery. Rosa‐Neto’s work not only advances basic science but also holds promise for refining translational research in neurological disorders.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Co-registration of Imaging Modalities (MRI, CT and PET) to Perform Frameless Stereotaxic Robotic Injections in the Common Marmoset
13 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: McGill University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago