Distinction Between Variability-Based Modulation and Mean-Based Activation Revealed by BOLD-fMRI and Eyes-Open/Eyes-Closed Contrast by Pei-Wen Zhang, Xiu-Juan Qu, Shu-Fang Qian, Xin-Bo Wang, Rui-Di Wang, Qiu-Yue Li, Shi-Yu Liu, Lihong Chen, Dong-Qiang Liu

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Investigating the power of eyes open resting state EEG for assisting in dementia diagnosis by Jack L. Jennings, Luis R. Peraza, Mark Baker, Kai Alter, John-Paul Taylor, Roman Bauer

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Assessment of Model Accuracy in Eyes Open and Closed EEG Data: Effect of Data Pre-Processing and Validation Methods by Jamolbek Mattiev, Jakob Sajovic, Gorazd Drevenšek, Peter Rogelj

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GABAA receptors in visual and auditory cortex and neural activity changes during basic visual stimulation by Pengmin eQin, Niall W Duncan, Niall W Duncan, Christine eWiebking, Christine eWiebking, Paul eGravel, oliver elyttelton, Dave eHayes, Jeroen eVerhaeghe, Alexey eKostikov, Ralf eSchirrmacher, Andrew J Reader, Georg eNorthoff

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Introducing a New Mobile Electroencephalography System and Evaluating Its Quality in Comparison to Clinical Electroencephalography by Paria Samimisabet, Laura Krieger, Themis Nethar, Gordon Pipa

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Alterations in Patients With First-Episode Depression in the Eyes-Open and Eyes-Closed Conditions: A Resting-State EEG Study by Shuang Liu, Xiaoya Liu, Danfeng Yan, Sitong Chen, Yanli Liu, Xinyu Hao, Wenwen Ou, Zhenni Huang, Fangyue Su, Feng He, Dong Ming

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Eyes-Open and Eyes-Closed Resting State Network Connectivity Differences by Junrong Han, Liwei Zhou, Hang Wu, Yujuan Huang, Mincong Qiu, Likai Huang, Chia Lee, Timothy Joseph Lane, Pengmin Qin

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Eyes-state-dependent alterations of magnetoencephalographic connectivity associated with delayed recall in Alzheimer’s disease via graph theory approach by Keigo Yuasa, Tetsu Hirosawa, Daiki Soma, Naoki Furutani, Masafumi Kameya, Masuhiko Sano, Koji Kitamura, Minehisa Ueda, Mitsuru Kikuchi

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Self-specific stimuli interact differently than non-self-specific stimuli with eyes-open versus eyes-closed spontaneous activity in auditory cortex by Pengmin eQin, Simone eGrimm, Niall W Duncan, Giles eHolland, Jia shen eGuo, Yan eFan, Anne eWeigand, Juergen eBaudewig, Malek eBajbouj, Georg eNorthoff

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Eyes-Closed Increases the Usability of Brain-Computer Interfaces Based on Auditory Event-Related Potentials by David Hübner, David Hübner, Albrecht Schall, Natalie Prange, Michael Tangermann, Michael Tangermann

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Electroencephalography Longitudinal Markers of Central Neuropathic Pain Intensity in Spinal Cord Injury: A Home-Based Pilot Study by Rab Nawaz, Ho Suen, Rahmat Ullah, Mariel Purcell, Shannon Diggin, Euan McCaughey, Aleksandra Vuckovic

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The acts of opening and closing the eyes are of importance for congenital blindness: Evidence from resting-state fMRI by Yi-Xuan Feng, Ren-Yuan Li, Wei Wei, Zi-Jian Feng, Yun-Kai Sun, Hai-Yang Sun, Yi-Yuan Tang, Yu-Feng Zang, Ke Yao

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A flexible and accurate method for electroencephalography rhythms extraction based on circulant singular spectrum analysis by Hai Hu, Zihang Pu, Peng Wang

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Eyes-Open and Eyes-Closed Resting States With Opposite Brain Activity in Sensorimotor and Occipital Regions: Multidimensional Evidences From Machine Learning Perspective by Jie Wei, Jie Wei, Jie Wei, Tong Chen, Tong Chen, Tong Chen, Chuandong Li, Chuandong Li, Guangyuan Liu, Guangyuan Liu, Jiang Qiu, Dongtao Wei

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Amplitude differences in high-frequency fMRI signals between eyes open and eyes closed resting states by Bin-Ke eYuan, Bin-Ke eYuan, Bin-Ke eYuan, Jue eWang, Jue eWang, Yu-Feng eZang, Yu-Feng eZang, Dong-Qiang eLiu, Dong-Qiang eLiu

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Tensor Decomposition Analysis of Longitudinal EEG Signals Reveals Differential Oscillatory Dynamics in Eyes-Closed and Eyes-Open Motor Imagery BCI: A Case Report by Saman Seifpour, Alexander Šatka

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Electroencephalographic modulations during an open- or closed-eyes motor task by Sébastien Rimbert, Rahaf Al-Chwa, Manuel Zaepffel, Laurent Bougrain

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Characteristics of Resting State EEG Power in 80+-Year-Olds of Different Cognitive Status by Stephanie Fröhlich, Stephanie Fröhlich, Dieter F. Kutz, Dieter F. Kutz, Katrin Müller, Katrin Müller, Claudia Voelcker-Rehage, Claudia Voelcker-Rehage

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Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals by Simfukwe C, An SSA, Youn YC

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Contribution of Scalp Regions to Machine Learning-Based Classification of Dementia Utilizing Resting-State qEEG Signals [Corrigendum] by Simfukwe C, An SSA, Youn YC

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