Ana Rita Ribeiro Gomes, Ph.D.

Research Fellow
National Institutes of Health (NIH)
Bethesda, MD 20892
Dr. Ribeiro Gomes joined the Section on Cognitive Neurophysiology and Imaging (SCNI) led by Dr. David Leopold in 2020, after receiving her Ph.D. in 2018 from the Université Claude Bernard Lyon 1, Lyon (France). During her Ph.D., under the mentorship of Dr. Henry Kennedy and Dr. Kenneth Knoblauch in the Stem-Cell and Brain Research Institute, she investigated structural organizational principles of the adult and developing nonhuman primate cortical connectome. At the National Institute of Mental Health (NIH/NIMH), Dr. Ribeiro Gomes’ research focuses on two key areas. First, applying viral genetic methods to create genetically modified nonhuman primate models with widespread or targeted transgene expression within the nervous system. Second, investigating the establishment and refinement of large-scale cortical networks thought viral tracing, and functional mapping and manipulation with opto-EEG and opto-fMRI. The overarching goal of her research is to further our understanding of the development and evolution of structural and functional cortical circuits, as well as the mechanisms by which perception and behavior emerge and are shaped throughout life.
Selected Publications
Molnar F, Horvat S, Ribeiro Gomes AR, Martinez Armas J, Molnar B, et al. (2024) Predictability of cortico-cortical connections in the mammalian brain . Netw Neurosci 8: 138-57. PMID: 38562298
Ribeiro Gomes AR, Olivier E, Killackey HP, Giroud P, Berland M, et al. (2020) Refinement of the Primate Corticospinal Pathway During Prenatal Development . Cereb Cortex 30: 656-71. PMID: 31343065
Markov NT, Ercsey-Ravasz MM, Ribeiro Gomes AR, Lamy C, Magrou L, et al. (2014) A weighted and directed interareal connectivity matrix for macaque cerebral cortex . Cereb Cortex 24: 17-36. PMID: 23010748
Markov NT, Ercsey-Ravasz M, Lamy C, Ribeiro Gomes AR, Magrou L, et al. (2013) The role of long-range connections on the specificity of the macaque interareal cortical network . Proc Natl Acad Sci USA.110: 5187-92. PMID: 23479610