Dear all,
A new archive
https://bias.googlecode.com/files/fastECM.zip
is available from bias.googlecode.com.
It contains a matlab implementation of fast eigenvector centrality mapping as
before (doi:10.1089/brain.2012.0087) with some additions and modifications:
* a small gui (called from matlab with 'fegui') to select files and set options
* the option to write out (uniformly distributed) eigenvector centrality ranks
* the option to write out a normally distributed map (generated from ranks)
* now reading and writing .nii.gz images
Please contact me if you have comments/suggestions about it.
With best wishes
Alle Meije Wink
>> Dear all,
>>
>> I have written a small matlab program that performs fast eigenvector
>> centrality mapping on 4D nifti data set (eg resting-state fMRI)
>>
>> The method is decribed here
>> http://www.ncbi.nlm.nih.gov/pubmed/23016836
>> and the source code is available for download here
>> https://bias.googlecode.com/files/fastECM.zip
>>
>> After adding the fastECM directory to the MatLab path, the fastECM method
>> can be called with the name of a nifti file (uncompressed) as its argument.
>> Given a 4D file, a map of eigenvector centralities is created with the same
>> dimensions as the first volume.
>> A mask is created automatically from the nonzero voxels in the first volume.
>>
>> Hopefully some of you will find it useful, and I'll be interested to hear
>> comments and suggestions!
>>
>> Best wishes
>> Alle Meije Wink
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