Functional connectivity fingerprints at rest are similar across youths and adults and vary with genetic similarity

DOI: 10.1016/j.isci.2019.100801

Authors:

Damion V. Demeter*, Laura E. Engelhardt, Remington Mallett, Evan M. Gordon, Tehila Nugiel, K. Paige Harden, Elliot M. Tucker-Drob, Jarrod A. Lewis-Peacock, Jessica A. Church

• Correspondence: demeter@utexas.edu

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Scripts and other resources for replication of this work

Scripts:

• Main SVM Classifier Script: Twin_Match.py

• SVM Using Opposite Group Features Script: Opposite_Mask_SVM.py

• Requirements: (Unfortunately) these scripts are written in python 2.7. Other requirements:

numpy
scipy
sklrean
pandas
seaborn
matplotlib

• Timecourse files should be in a group folder, with each pair given a family ID, then an individual ID separated with an underscore. Example with two "family" pairs. Family 201 and family 202:

/MZ_TWINS/
         /201_1.txt
         /201_2.txt
         /202_1.txt
         /202_2.txt
         /etc

• Beyond this, see the -h (help) argument in the scripts for full details of required arguments.
• See in-code comments for notes about each step, etc. (I try to heavily comment my code....probably too much to be honest).

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Required Playlist:

The following playlist was used for data cleaning (language warning). The main author of this work can't guarantee your successful use of these scripts without this playlist:
https://open.spotify.com/playlist/6gDuLpHIlHqsU58J7eARkS?si=C5bKBQSQTK2O2mU14LfaMQ