Projects People Resources Semesters Blog About


Project Goal

Our goal was to create a neural network that can predict ideal treatments for patients who have been diagnosed with clinical depression. Given an fMRI neuroimage, our neural network could decide what treatments will lead to the best positive changes in the patient's neuropsychology.


  • Convolutional Neural Network
  • fMRI image processing pipeline

Languages & Tools

  • Python
  • Nilearn
    • Tensorflow
  • Jupyter Notebooks




  • Worked with researchers from Russia to gather open source neuroimaging data
  • Talked with neuroscientist from the Mayo Clinic about the feasibility of the project

What we learned

  • There are many types of machine learning and neural network models that may or may not be applicable to certain use case
  • Open-source data and code is directly increasing the amount of innovation that can be done in the world