Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a new representation of cortical regions via distribution functions of their features. The distribution functions are estimated non-parametrically from the data and are observed to be non Gaussian. Cortical pattern matching is enabled by using the information-based Jensen-Shannon divergence as a measure beten features. Our approach explicitly avoids pairwise registrations beten brains, but instead focuses on modeling and discriminating beten the cortical structural patterns.  demonstrate our approach on 120 subject brains from an Alzheimer's dataset, and present applications to clustering, classification, and dimension reduction.
['Shantanu H. Joshi', 'Ian Bowman', 'Arthur W. Toga', 'John D. Van Horn']
I am writing a research paper on a idea Brain pattern analysis of cortical valued distributions
[{"from": "human", "value": "I am writing a research paper on a idea Brain pattern analysis of cortical valued distributions"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  introduce a new representation of cortical regions via distribution functions of their features. The distribution functions are estimated non-parametrically from the data and are observed to be non Gaussian. Cortical pattern matching is enabled by using the information-based Jensen-Shannon divergence as a measure beten features. Our approach explicitly avoids pairwise registrations beten brains, but instead focuses on modeling and discriminating beten the cortical structural patterns.  demonstrate our approach on 120 subject brains from an Alzheimer's dataset, and present applications to clustering, classification, and dimension reduction."}]