@inproceedings{828d39abf2494eb689a0b6db762b49dc,
title = "Modeling motor learning connectivity using coordinate-based meta-analysis and TMS/PET",
abstract = "BrainMap is a database of peak activation locations and metadata reported in functional neuroimaging studies, which was designed to develop and promote coordinate-based meta-analysis techniques. Here, we demonstrate the activation likelihood estimation (ALE) method in a meta-analysis of published TMS/PET studies. Using the results of this meta-analysis, we constructed a data-driven model of motor connectivity in TMS/PET data in which stimulation was delivered to RM1 before and after motor skill acquisition. A hybrid motor connectivity model of pre- and post-learning was generated to identify specific pathways most affected by the mechanisms involved in the motor learning process.",
author = "Laird, \{A. R.\} and K. Li and S. Narayana and Price, \{L. R.\} and Laird, \{R. W.\} and J. Xiong and Fox, \{P. T.\}",
year = "2009",
doi = "10.1109/ACSSC.2009.5470062",
language = "English (US)",
isbn = "9781424458271",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE Computer Society",
pages = "1079--1082",
booktitle = "Conference Record - 43rd Asilomar Conference on Signals, Systems and Computers",
address = "United States",
note = "43rd Asilomar Conference on Signals, Systems and Computers, ACSSC 2009 ; Conference date: 01-11-2009 Through 04-11-2009",
}