@inproceedings{d762e5be6d7b436fa6998f81de1655e0,
title = "Predicting Skill-Based Task Performance and Learning with fMRI Motor and Subcortical Network Connectivity",
abstract = "Procedural learning is the process of skill acquisition that is regulated by the basal ganglia, and this learning becomes automated over time through cortico-striatal and cortico-cortical connectivity. In the current study, we use a common machine learning regression technique to investigate how fMRI network connectivity in the subcortical and motor networks are able to predict initial performance and traininginduced improvement in a skill-based cognitive training game, Space Fortress, and how these predictions interact with the strategy the trainees were given during training. To explore the reliability and validity of our findings, we use a range of regression lambda values, sizes of model complexity, and connectivity measurements.",
keywords = "basal ganglia, cognitive training, motor control, procedural learning; ridge regression, skill",
author = "Aki Nikolaidis and Drew Goatz and Paris Smaragdis and Arthur Kramer",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015 ; Conference date: 10-06-2015 Through 12-06-2015",
year = "2015",
month = sep,
day = "16",
doi = "10.1109/PRNI.2015.35",
language = "English (US)",
series = "Proceedings - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "93--96",
booktitle = "Proceedings - 2015 International Workshop on Pattern Recognition in NeuroImaging, PRNI 2015",
address = "United States",
}