The PhysIO Toolbox for Modeling Physiological Noise in fMRI Data

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• 作者：Lars Kasper^a ; ^b ; ^{kasper@biomed.ee.ethz.ch} ; Steffen Bollmann^c ; Andreea O. Diaconescu^a ; Chloe Hutton^d ; Jakob Heinzle^a ; Sandra Iglesias^a ; Tobias U. Hauser^d ; ^e ; Miriam Sebold^f ; Zina-Mary Manjaly^g ; Klaas P. Pruessmann^b ; Klaas E. Stephan^a ; ^d ; ^h
• 关键词：Physiological noise correction ; fMRI ; RETROICOR ; RVHRCOR ; Heart rate ; Respiratory volume ; SPM toolbox ; fMRI preprocessing
• 刊名：Journal of Neuroscience Methods
• 出版年：2017
• 出版时间：30 January 2017
• 年：2017
• 卷：276
• 期：Complete
• 页码：56-72
• 全文大小：6770 K
• 卷排序：276

文摘

A Toolbox to integrate preprocessing of physiological data and fMRI noise modeling. Robust preprocessing via iterative peak detection, shown for noisy data and patients. Flexible support of peripheral data formats and noise models (RETROICOR, RVHRCOR). Fully automated noise correction and performance assessment for group studies. Integration in fMRI pre-processing pipelines as SPM Toolbox (Batch Editor GUI).