I am working with fMRI data of Alzheimer's Disease (AD) patients. I want to convert brain volumes to brain graph and then using different graph metrics, I want to classify the brain volumes in AD and non-AD class. The paper I want to implement is "Automatic classification of Alzheimer's disease with resting-state fMRI and graph theory".

  • $\begingroup$ What exactly is your question? How to implement this algorithm? How to acquire this fMRI data? $\endgroup$
    – Seanny123
    Mar 24 '17 at 8:35
  • $\begingroup$ I acquired dataset from ADNI. Now I have to classify this into AD/nonAD class. Can you tell me how to preprocess the data and how to extract features from data. The paper says that fmri images are converted into a graph and then graph features are extracted from it. How can this be done $\endgroup$ Mar 26 '17 at 5:34
  • $\begingroup$ Could you be more specific? Are you unclear of how the algorithm works? Have you tried to implement this algorithm in software and are having difficulty with it? $\endgroup$
    – Seanny123
    Mar 26 '17 at 9:14
  • $\begingroup$ I have no prior experience in neuroimaging and I want to start with this paper. I don't have any idea about how to start implementing this. I want a step by step procedure to implement this paper. $\endgroup$ Mar 29 '17 at 4:45
  • $\begingroup$ This really isn't the site to give you a step-by-step procedure. We'll be happy to help you once you've chosen a software package, started analysis and then have questions! $\endgroup$
    – Seanny123
    Mar 29 '17 at 4:49