Evaluation of confound regression strategies for the mitigation of micromovement artifact in studies of dynamic resting-state functional connectivity and multilayer network modularity.
David M. Lydon-Staley,Rastko Ciric,Theodore D. Satterthwaite,Danielle S. Bassett +3 more
- Vol. 3, Iss: 2, pp 427-454
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TLDR
A systematic evaluation of 12 commonly used participant-level confound regression strategies designed to mitigate the effects of micromovements in a sample of 393 youths indicates variability in the effectiveness of the evaluated pipelines across benchmarks.Abstract:
Dynamic functional connectivity reflects the spatiotemporal organization of spontaneous brain activity in health and disease. Dynamic functional connectivity may be susceptible to artifacts induced...read more
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Journal ArticleDOI
Questions and controversies in the study of time-varying functional connectivity in resting fMRI
Daniel J. Lurie,Daniel Kessler,Danielle S. Bassett,Richard F. Betzel,Michael Breakspear,Michael Breakspear,Shella Kheilholz,Aaron Kucyi,Raphaël Liégeois,Raphaël Liégeois,Martin A. Lindquist,Anthony R. McIntosh,Russell A. Poldrack,James M. Shine,William Hedley Thompson,William Hedley Thompson,Natalia Z. Bielczyk,Linda Douw,Dominik Kraft,Robyn L. Miller,Muthuraman Muthuraman,Lorenzo Pasquini,Adeel Razi,Adeel Razi,Adeel Razi,Diego Vidaurre,Hua Xie,Vince D. Calhoun,Vince D. Calhoun,Vince D. Calhoun +29 more
TL;DR: The brain is a complex, multiscale dynamical system composed of many interacting regions as mentioned in this paper, and knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain.
Journal ArticleDOI
LSD alters dynamic integration and segregation in the human brain.
Andrea I. Luppi,Robin L. Carhart-Harris,Leor Roseman,Ioannis Pappas,David K. Menon,Emmanuel Stamatakis +5 more
TL;DR: Increased small-worldness of brain networks predicts LSD-induced ego-dissolution and untethers functional connectivity from the constraint of structural connectivity, which bridge pharmacodynamics, subjective experience and brain dynamics.
Journal ArticleDOI
Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium
Yi-Cheng Long,Hengyi Cao,Chao-Gan Yan,Xiao Chen,Le Li,Francisco X. Castellanos,Tong-Jian Bai,Qi-Jing Bo,Guanmao Chen,Ning-Xuan Chen,Wei Chen,Chang Cheng,Yu-Qi Cheng,Xi-Long Cui,Jia Duan,Yi-Ru Fang,Qiyong Gong,Wenbin Guo,Zheng-Hua Hou,Lan Hu,Li Kuang,Feng Li,Kaiming Li,Tao Li,Yan-Song Liu,Qing-Hua Luo,Hua-Qing Meng,Daihui Peng,Hai-Tang Qiu,Jiang Qiu,Yue-Di Shen,Yu-Shu Shi,Tian-Mei Si,Chuanyue Wang,Fei Wang,Kai Wang,Li Wang,Xiang Wang,Ying Wang,Xiao-Ping Wu,Xinran Wu,Chunming Xie,Guang-Rong Xie,Hai-Yan Xie,Peng Xie,Xiufeng Xu,Hong Yang,Jian Yang,Jia-Shu Yao,Shuqiao Yao,Ying-Ying Yin,Yonggui Yuan,Ai-Xia Zhang,Hong Zhang,Kerang Zhang,Lei Zhang,Zhijun Zhang,Ru-Bai Zhou,Yi-Ting Zhou,Jun-Juan Zhu,Chao-Jie Zou,Yu-Feng Zang,Jingping Zhao,Calais Kin Yuen Chan,Weidan Pu,Zhening Liu +65 more
TL;DR: The findings suggest that excessive temporal variations of brain FC, reflecting abnormal communications between large-scale bran networks over time, may underlie the neuropathology of MDD.
Journal ArticleDOI
Repetitive negative thinking in daily life and functional connectivity among default mode, fronto-parietal, and salience networks.
David M. Lydon-Staley,Christine Kuehner,Vera Zamoscik,Silke Huffziger,Peter Kirsch,Bassett Ds +5 more
TL;DR: It is found that flexibility of the salience network’s pattern of connections with brain regions is protective against increases in RNT following sadness, highlighting the importance of functional brain networks implicated in cognitive conflict signaling, self-referential thought, and cognitive flexibility for understanding maladaptive responses to sadness in daily life.
Journal ArticleDOI
Longitudinal functional brain network reconfiguration in healthy aging.
TL;DR: The results indicate that older age is related to higher variability in modular organization, and global flexibility, as well as network‐specific flexibility of the default mode, frontoparietal control, and somatomotor networks, were significantly associated with age at baseline.
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