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Beyond Noise: Using Temporal ICA to Extract Meaningful Information from High-Frequency fMRI Signal Fluctuations during Rest
Roland N. Boubela, Klaudius Kalcher, Wolfgang Huf, Claudia Kronnerwetter, Peter Filzmoser & Ewald Moser
Frontiers in Human Neuroscience 7 (2013)
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Citations of this work
GRETNA: a graph theoretical network analysis toolbox for imaging connectomics.Jinhui Wang, Xindi Wang, Mingrui Xia, Xuhong Liao, Alan Evans & Yong He - 2015 - Frontiers in Human Neuroscience 9.
Amplitude differences in high-frequency fMRI signals between eyes open and eyes closed resting states.Bin-Ke Yuan, Jue Wang, Yu-Feng Zang & Dong-Qiang Liu - 2014 - Frontiers in Human Neuroscience 8.
Grading of Frequency Spectral Centroid Across Resting-State Networks.Anja Ries, Catie Chang, Sarah Glim, Chun Meng, Christian Sorg & Afra Wohlschläger - 2018 - Frontiers in Human Neuroscience 12.
Frequency-Specific Functional Connectivity Density as an Effective Biomarker for Adolescent Generalized Anxiety Disorder.Zhe Zhang, Mei Liao, Zhijun Yao, Bin Hu, Yuanwei Xie, Weihao Zheng, Tao Hu, Yu Zhao, Fan Yang, Yan Zhang, Linyan Su, Lingjiang Li, Jürg Gutknecht & Dennis Majoe - 2017 - Frontiers in Human Neuroscience 11.
ICA of fMRI Studies: New Approaches and Cutting Edge Applications.Simon Daniel Robinson & Veronika Schöpf - 2013 - Frontiers in Human Neuroscience 7.
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