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Regular version of the site

Book chapter

Differences in Structural Connectomes between Typically Developing and Autism Groups

P. 1-15.
Petrov D., Dodonova Y., Zhukov L. E.

We study di erences in structural connectomes between typically developing and autism spectrum disorders individuals with machine learning techniques using connection weights and network metrics as features. We build linear SVM classi er with accuracy score 0:64 and report 16 features (seven connection weights and nine network node centralities) best distinguishing these two groups.

In book

Differences in Structural Connectomes between Typically Developing and Autism Groups
St. Petersburg: Институт проблем передачи информации им. А.А. Харкевича РАН, 2015.