TY - JOUR
AU - Yan
AB - METHODS ARTICLE published: 14 May 2010 SYSTEMS NEUROSCIENCE doi: 10.3389/fnsys.2010.00013 DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI Yan Chao-Gan* and Zang Yu-Feng* State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China Edited by: Resting-state functional magnetic resonance imaging (fMRI) has attracted more and more Lucina Q. Uddin, Stanford University, attention because of its effectiveness, simplicity and non-invasiveness in exploration of USA the intrinsic functional architecture of the human brain. However, user-friendly toolbox for Reviewed by: “pipeline” data analysis of resting-state fMRI is still lacking. Based on some functions in Martin Walter, Otto-von-Guericke- Statistical Parametric Mapping (SPM) and Resting-State fMRI Data Analysis Toolkit (REST), Universität Magdeburg, Germany Srikanth Ryali, Stanford University, we have developed a MATLAB toolbox called Data Processing Assistant for Resting-State USA fMRI (DPARSF) for “pipeline” data analysis of resting-state fMRI. After the user arranges the *Correspondence: Digital Imaging and Communications in Medicine (DICOM) fi les and click a few buttons to Yan Chao-Gan, State Key Laboratory of set parameters, DPARSF will then give all the preprocessed (slice timing, realign, normalize, Cognitive Neuroscience and Learning, Beijing Normal University, Beijing smooth) data and results for functional connectivity, regional homogeneity, amplitude of 
TI - DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
JF - Frontiers in Systems Neuroscience
DO - 10.3389/fnsys.2010.00013
DA - 2010-01-01
UR - https://www.deepdyve.com/lp/unpaywall/dparsf-a-matlab-toolbox-for-pipeline-data-analysis-of-resting-state-WCRleiZuql
DP - DeepDyve
ER -