Elucidating the Effects of Sleep Deprivation: Exploring fMRI Imaging Biomarkers to Analyze Brain Functions Related to Insomnia by Yazdan Choghazardi, Fateme Sabzevarian, Korosh Saber, Meysam Siyah Mansoory, Mehdi Khodamoradi, Hamid Sharini

“…Insomnia and sleepiness questionnaires were collected from these individuals (OpenfMRI website). Independent component analysis (ICA) processing was performed using the Generalized Intelligent Framework for Tutoring (GIFT) toolbox on old and young people’s data. …”
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Different Modes of Pitch Perception and Learning-Induced Neuronal Plasticity of the Human Auditory Cortex by Michael Schulte, Arne Knief, Annemarie Seither-Preisler, Christo Pantev

“…Cortical sources of the evoked gamma-band activity were significantly stronger and located more medially after a switch in perception. Independent Component Analysis revealed enhanced synchronization in the gamma-band frequency range. …”
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Investigating surface loading effect on seasonal crustal deformation observed by GNSS in Hong Kong by Hongli Lv, Xiaoxing He, Shunqiang Hu

“…Furthermore, the independent component analysis (ICA) method was performed to extract periodic signals from the GNSS time series. …”
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An environment for complex behaviour detection in bio-potential experiments by Maide Bucolo, Federica Di Grazia, Luigi Fortuna, Mattia Frasca, Francesca Sapuppo

“…It includes sev-eral modules as data importing and loading, data visualization (1D, 2D, 3D),pre-processing (frequency and saturation filtering, statistical analysis), spatio-temporal processing such as power spectrum, independent component analysis(ICA) in spatial and time domain, and nonlinear analysis for the extractionof the maximum Lyapunov exponent and d ∞(d-inifnite) using optimized al-gorithms. …”
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Aberrant Resting-State Functional Connectivity of the Dorsal Attention Network in Tinnitus by Haimeng Hu, Yining Lyu, Shihong Li, Zheng Yuan, Chuntao Ye, Zhao Han, Guangwu Lin

“…Thirty-one patients with persistent tinnitus and thirty-three healthy controls were enrolled in this study. A group independent component analysis (ICA), degree centrality (DC) analysis, and seed-based FC analysis were conducted. …”
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A method of EEG signal feature extraction based on hybrid DWT and EMD by Xiaozhong Geng, Linen Wang, Ping Yu, Weixin Hu, Qipeng Liang, Xintong Zhang, Cheng Chen, Xi Zhang

“…Aiming at the problems of incomplete removal of artifacts and inadequate retention of active components in EEG signal, a fusion method of wavelet transform (WT) and Fast Independent Component Analysis (FastICA) is utilized to preprocess the raw EEG signals. …”
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Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity by Souvik Phadikar, Krishna Pusuluri, Armin Iraji, Vince D. Calhoun

“…We estimated time-resolved brain networks using sliding window-based spatially constrained independent component analysis (scICA), producing resting brain networks that evolved over time at the voxel level. …”
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Data-Driven Methodology for the Prediction of Fluid Flow in Ultrasonic Production Logging Data Processing by Hongwei Song, Ming Li, Chaoquan Wu, Qingchuan Wang, Shunke Wei, Mingxing Wang, Wenhui Ma

“…In the same way, the transducer signal is also preprocessed by partial correlation analysis (PCA), and independent features were extracted using independent component analysis (ICA). The extracted features were used as inputs to multilayer back-propagation neural networks, which water cuts as output. …”
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Brain Networks Connectivity in Mild to Moderate Depression: Resting State fMRI Study with Implications to Nonpharmacological Treatment by Dmitry D. Bezmaternykh, Mikhail Ye. Melnikov, Andrey A. Savelov, Lyudmila I. Kozlova, Evgeniy D. Petrovskiy, Kira A. Natarova, Mark B. Shtark

“…Resting state fMRI data of 21 healthy adults and 51 patients with mild or moderate depression were analyzed with spatial independent component analysis; then, correlations between time series of the components were calculated and compared between-group (study 1). …”
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EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis by Majid Roshanaei, Hamzeh Norouzi, Julie Onton, Scott Makeig, Alireza Mohammadi

“…After applying independent component analysis (ICA) to eliminate non-cortical activity, we assessed frequency-specific connectivity patterns using coherence, Granger causality, and graph theoretical measures to evaluate both functional and effective connectivity. …”
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A Synchronized Hybrid Brain-Computer Interface System for Simultaneous Detection and Classification of Fusion EEG Signals by Dalin Yang, Trung-Hau Nguyen, Wan-Young Chung

“…The fast independent component analysis algorithm is employed to hybrid signals for obtaining clear EEG signals resulting from denoising. …”
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Identification of Alzheimer’s Disease Progression Stages Using Topological Measures of Resting-State Functional Connectivity Networks: A Comparative Study by Zhanxiong Wu, Jinhui Wu, Xumin Chen, Xun Li, Jian Shen, Hui Hong

“…This study comparatively characterized topological properties of rs-FC networks constructed with Pearson correlation (PC), dynamic time warping (DTW), and group information guided independent component analysis (GIG-ICA), aimed at investigating the sensitivity and effectivity of these methods in differentiating AD stages. …”
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Smartphone Household Wireless Electroencephalogram Hat by Harold Szu, Charles Hsu, Gyu Moon, Takeshi Yamakawa, Binh Q. Tran, Tzyy Ping Jung, Joseph Landa

“…During the design phase, we took tethered laboratory EEG dataset and applied fuzzy logic to compute (a) spatiotemporal average of larger magnitude EEG data centers in 0.3 second intervals and (b) inside brainwave sources by Independent Component Analysis blind deconvolution without knowing the impulse response function. …”
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Study of Chemical Intermediates by Means of ATR-IR Spectroscopy and Hybrid Hard- and Soft-Modelling Multivariate Curve Resolution-Alternating Least Squares by Junxiu Ma, Juan Qi, Xinyu Gao, Chunhua Yan, Tianlong Zhang, Hongsheng Tang, Hua Li

“…The subspace comparison method (SCM) was used to obtain the principal components number, and then the pure IR spectra of each substance were obtained by independent component analysis (ICA) and HS-MCR. The extent of rotation ambiguity was estimated from the band boundaries of feasible solutions calculated using the MCR-BANDS procedure. …”
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Altered Spontaneous Brain Activity of Children with Unilateral Amblyopia: A Resting State fMRI Study by Peishan Dai, Jinlong Zhang, Jing Wu, Zailiang Chen, Beiji Zou, Ying Wu, Xin Wei, Manyi Xiao

“…FC analysis methods consisted of the FC between the primary visual cortex (PVC-FC) and other brain regions and the FC network between regions of interest (ROIs-FC) selected by independent component analysis. Results. The ALFF in the bilateral frontal, temporal, and occipital lobes in the amblyopia group was lower than that in the HCs. …”
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Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM by Jing He, Zijun Huang, Yunde Li, Jiangfeng Shi, Yehang Chen, Chengliang Jiang, Jin Feng

“…This study proposes a robust Kalman filtering method combined with a norm-constrained extreme learning machine (ELM) to address these challenges.MethodsThe proposed method integrates Discrete Wavelet Transformation (DWT) and Independent Component Analysis (ICA) for noise removal, followed by a robust Kalman filter enhanced with convex optimization to preserve critical EEG components. …”
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Progress in the Application of Resting-State Functional Magnetic Resonance Imaging in Chronic Nonspecific Low Back Pain by XU Ting, XUE Qin, LÜ Ying, TU Jianchun, DAI Dechun

“…Common methods for functional integration mainly include Seed-based Functional Connectivity Analysis (SCA), Independent Component Analysis (ICA), and graph theory-based complex brain network analysis. …”
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Resting-state BOLD temporal variability of the default mode network predicts spontaneous mind wandering, which is negatively associated with mindfulness skills by Sara Sorella, Cristiano Crescentini, Alessio Matiz, Alessio Matiz, Minah Chang, Alessandro Grecucci, Alessandro Grecucci

“…Therefore, resting-state MRI scans from 76 participants were analyzed with group independent component analysis to decompose brain networks into independent macro-networks and to see which of them predicted specific aspects of spontaneous and deliberate MW or mindfulness traits. …”
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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

“…We present a detailed workflow that begins with EEG data acquisition using a headset, followed by data preprocessing with Finite Impulse Response (FIR) filters and Independent Component Analysis (ICA) to eliminate noise and artifacts. …”
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Acupuncture Reversible Effects on Altered Default Mode Network of Chronic Migraine Accompanied with Clinical Symptom Relief by Yan Zou, Weijun Tang, Xiang Li, Manwen Xu, Ji Li

“…Resting-state functional magnetic resonance imaging (fMRI) data from 14 CM patients treated with longitudinal pre- and postacupuncture treatment (PPAT) and data of 18 age- and gender-matched healthy controls (HCs) were analyzed using independent component analysis (ICA) and seed-based correlation analysis (SCA) to investigate connectivity within the DMN. …”
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