The F33 panel reviews fellowship crosscutting neuroscience grant applications that focus on the development of novel technologies as well as the application of emerging technologies to neuroscience problems. The scientific areas are broad and include: genetics, bioengineering, drug development, bioinformatics, modeling, simulation, artificial intelligence, neuroimaging, and neuromodulation all in a neuroscience context. The F(0X)X study section also reviews applications in the areas of vision technology. Areas covered in the areas of vision technology development include low vision technologies, low vision rehabilitation and assessment, imaging in the eye as well as retinal prosthetics and drug development.

Review Dates

A roster for the panel will be posted here, at least 30 days prior to the review meeting

Topics


  • Molecule specific imaging of neuronal proteins, neurotransmitters, neuropeptides, and lipid distribution; optical imaging in neuroscience.
  • Technology development for treatments of brain injury and diseases including neuroprotection, immuno-therapeutics, cell transplantation, nanotechnology and deep brain stimulation
  • Novel neuromodulation approaches for stabilizing cognition, memory, Alzheimer’s Disease, dementia, and major depression. These include various TMS modalities, Transcranial direct current stimulation (tDCS), Optogenetics, and ultrasound, as well as by obtained EEG information.
  • Development and validation of combination imaging modalities including MRI, fMRI, PET for brain mapping/pre-surgical brain mapping.
  • Creating or improving current computational and mathematical models based on TMS, tDCS as analytical tools for neuroimaging data analytics for improving functional brain atlas.
  • Development of optical microscopy and other imaging modalities, such as high/super-resolution, NIRs and adaptive optics, for visualizing brain, eye, neural cells and circuitry utilizing light/optical approaches.
  • Neurotherapeutics: small molecule discovery and synthesis, nanomaterials and delivery, nanoparticles, biomaterial development.
  • Machine learning, biomedical engineering, brain-computer interface, neural engineering, computational modeling and neuronal/network modeling.

 

Last updated: 02/25/2026 23:05