Evaluation of sliding window correlation performance for characterizing dynamic functional connectivity and brain states
作者： Sadia Shakil , Chin-Hui Lee , Shella Dawn Keilholz , None
DOI: 10.1016/J.NEUROIMAGE.2016.02.074
关键词: Cluster analysis 、 Filter (signal processing) 、 Correlation 、 Sliding window protocol 、 Simulation 、 Algorithm 、 Brain mapping 、 Dynamic functional connectivity 、 Sampling (signal processing) 、 Computer science
摘要: A promising recent development in the study of brain function is the dynamic analysis of resting-state functional MRI scans, which can enhance understanding of normal cognition …
sci-hub.se 参考文章(45)
James M. Shine, Oluwasanmi Koyejo, Peter T. Bell, Krzysztof J. Gorgolewski, Moran Gilat, Russell A. Poldrack, Estimation of dynamic functional connectivity using Multiplication of Temporal Derivatives NeuroImage. ,vol. 122, pp. 399- 407 ,(2015) , 10.1016/J.NEUROIMAGE.2015.07.064
Xiang Li, Dajiang Zhu, Xi Jiang, Changfeng Jin, Xin Zhang, Lei Guo, Jing Zhang, Xiaoping Hu, Lingjiang Li, Tianming Liu, Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients. Human Brain Mapping. ,vol. 35, pp. 1761- 1778 ,(2014) , 10.1002/HBM.22290
Sepideh Sadaghiani, Jean-Baptiste Poline, Andreas Kleinschmidt, Mark D’Esposito, Ongoing dynamics in large-scale functional connectivity predict perception Proceedings of the National Academy of Sciences of the United States of America. ,vol. 112, pp. 8463- 8468 ,(2015) , 10.1073/PNAS.1420687112
R. Matthew Hutchison, Thilo Womelsdorf, Joseph S. Gati, Stefan Everling, Ravi S. Menon, Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques. Human Brain Mapping. ,vol. 34, pp. 2154- 2177 ,(2013) , 10.1002/HBM.22058
Garth John Thompson, Matthew Evan Magnuson, Michael Donelyn Merritt, Hillary Schwarb, Wen‐Ju Pan, Andrew McKinley, Lloyd D Tripp, Eric H Schumacher, Shella Dawn Keilholz, None, Short-time windows of correlation between large-scale functional brain networks predict vigilance intraindividually and interindividually. Human Brain Mapping. ,vol. 34, pp. 3280- 3298 ,(2013) , 10.1002/HBM.22140
Aaron Kucyi, Karen D. Davis, Dynamic functional connectivity of the default mode network tracks daydreaming. NeuroImage. ,vol. 100, pp. 471- 480 ,(2014) , 10.1016/J.NEUROIMAGE.2014.06.044
R. Matthew Hutchison, Thilo Womelsdorf, Elena A. Allen, Peter A. Bandettini, Vince D. Calhoun, Maurizio Corbetta, Stefania Della Penna, Jeff H. Duyn, Gary H. Glover, Javier Gonzalez-Castillo, Daniel A. Handwerker, Shella Keilholz, Vesa Kiviniemi, David A. Leopold, Francesco de Pasquale, Olaf Sporns, Martin Walter, Catie Chang, Dynamic functional connectivity: Promise, issues, and interpretations NeuroImage. ,vol. 80, pp. 360- 378 ,(2013) , 10.1016/J.NEUROIMAGE.2013.05.079
Wenqing Xia, Shaohua Wang, Zilin Sun, Feng Bai, Yi Zhou, Yue Yang, Pin Wang, Yan Huang, Yang Yuan, Altered baseline brain activity in type 2 diabetes: A resting-state fMRI study Psychoneuroendocrinology. ,vol. 38, pp. 2493- 2501 ,(2013) , 10.1016/J.PSYNEUEN.2013.05.012
Javier Gonzalez-Castillo, Daniel A. Handwerker, Meghan E. Robinson, Colin W. Hoy, Laura C. Buchanan, Ziad S. Saad, Peter A. Bandettini, The spatial structure of resting state connectivity stability on the scale of minutes Frontiers in Neuroscience. ,vol. 8, pp. 138- 138 ,(2014) , 10.3389/FNINS.2014.00138
Peter J. Rousseeuw, Silhouettes: a graphical aid to the interpretation and validation of cluster analysis Journal of Computational and Applied Mathematics. ,vol. 20, pp. 53- 65 ,(1987) , 10.1016/0377-0427(87)90125-7