isebenius / mind Goto Github PK
View Code? Open in Web Editor NEWThis repository contains a Python implementation of Morphometric INverse Divergence (MIND) calculation for the estimation of structural similarity networks in the brain
This repository contains a Python implementation of Morphometric INverse Divergence (MIND) calculation for the estimation of structural similarity networks in the brain
Dear Sebenius,
I apologize for any inconvenience caused by reaching out to you. I am currently encountering an issue with retrieving cortical thickness values for each vertex within every brain region after smoothing.
Below is the code I am using:
surf_dir = 'K:/NC11'
features = [('K:/NC11/surf/lh.thickness.fwhm10.fsaverage.mgh','K:/NC11/surf/rh.thickness.fwhm10.fsaverage.mgh')]
parcellation = 'aparc'
vertex_data, regions, features_used = get_vertex_df(surf_dir, features, parcellation)
However, I am encountering the following error:
hemi_data[i + 1] = hemi_data_dict[feature]
ValueError: could not broadcast input array from shape (163842,) into shape (138345,)
It seems that this error arises from the dimensions of .thickness.fwhm10.fsaverage.mgh being 1638421, while lh.aparc.annot has dimensions of 138345*1.
Would you happen to have any insights on how to resolve this issue?
Looking forward to your response.
Best regards,
Yanxi
2024.05.07
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.