Neuropathic Pain Detection: An EEG-Based Brain Functional Network Approach by Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu

“…Despite the inherent potential of brain functional networks (BFNs) analysis based on electroencephalogram (EEG) signals to reveal the underlying mechanisms of various nervous system diseases, it has been relatively underexplored in the context of NP. …”
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Consistency of Regions of Interest as nodes of fMRI functional brain networks by Onerva Korhonen, Heini Saarimäki, Enrico Glerean, Mikko Sams, Jari Saramäki

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Network analysis reveals abnormal functional brain circuitry in anxious dogs. by Yangfeng Xu, Emma Christiaen, Sara De Witte, Qinyuan Chen, Kathelijne Peremans, Jimmy H Saunders, Christian Vanhove, Chris Baeken

“…Human neuroimaging studies showed abnormal functional brain networks might be involved in anxiety. …”
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Glaucoma and brain functional networks: a bidirectional Mendelian randomisation study by Xiaoxiao Chen, Xinghuai Sun, Lian Shu

“…This study aimed to investigate the potential causal relationships between glaucoma and brain functional networks in order to provide novel insights into the neuropathic mechanism of glaucoma.Methods and analysis Based on the genome-wide association studies data of glaucoma and resting-state functional MRI (Rs-fMRI), a bidirectional Mendelian randomisation (MR) analysis was conducted between glaucoma and brain functional networks. …”
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ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI by Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu

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Long-term effects of attentional performance on functional brain network topology. by Thomas P K Breckel, Christiane M Thiel, Edward T Bullmore, Andrew Zalesky, Ameera X Patel, Carsten Giessing

“…We compared the topological and spatial properties of brain networks as derived from functional MRI data (N = 20) recorded for 6 mins before and 12 mins after the performance of an attentional task. …”
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Structural-functional connectivity decoupling in multiscale brain networks in Parkinson’s disease by Ting Zou, Chen Chen, Huafu Chen, Xuyang Wang, Lin Gan, Chong Wang, Qing Gao, Chunyan Zhang, Wei Liao, Jingliang Cheng, Rong Li

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Changes in topological organization of functional PET brain network with normal aging. by Zhiliang Liu, Lining Ke, Huafeng Liu, Wenhua Huang, Zhenghui Hu

“…Recent studies about brain network have suggested that normal aging is associated with alterations in coordinated patterns of the large-scale brain functional and structural systems. …”
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Intrinsic functional connectivity brain networks mediate effect of age on sociability. by Yuet Ruh Dan, Savannah K H Siew, Junhong Yu

“…Sociability was measured by a subscale of the Trait Emotional Intelligence Questionnaire (Short Form), and network-based statistics were performed on resting-state functional connectivity data to identify networks positively and negatively correlated with age. …”
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Subgraphs of functional brain networks identify dynamical constraints of cognitive control. by Ankit N Khambhati, John D Medaglia, Elisabeth A Karuza, Sharon L Thompson-Schill, Danielle S Bassett

“…Based on these data, we construct dynamic functional brain networks and use a parts-based, network decomposition technique called non-negative matrix factorization to identify putative cognitive control subgraphs whose temporal expression captures distributed network structures involved in different phases of cooperative and competitive control processes. …”
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From static to temporal network theory: Applications to functional brain connectivity by William Hedley Thompson, Per Brantefors, Peter Fransson

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The effects of subcallosal cingulate deep brain stimulation on functional brain network and white matter integrity by Ki Sueng Choi, JungHo Cha, Haneul Song, Martijn Figee, Brian Kopell, Helen Mayberg

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Deep brain stimulation induces white matter remodeling and functional changes to brain-wide networks by Satoka Fujimoto, Atsushi Fujimoto, Catherine Elorette, Adela Seltzer, Emma Andraka, Gaurav Verma, William Janssen, Lazar Fleysher, Davide Folloni, Ki Sueng Choi, Brian Russ, Helen Mayberg, Peter Rudebeck

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Brain Functional Connectome Gradients Analysis Study of Chronic Back Pain by YANG Junchao, YIN Xiaolong, HUANG Li, JIANG Feng, LI Zuanfang, LIANG Shengxiang

“…The rs-fMRI images were pre-processed to obtain Fisher-Z transformed functional connectivity matrices, and BrainSpace was used to analyse the gradient scores of seven functional networks (sensorimotor network, visual network, dorsal attention network, ventral attention network, limbic network, frontoparietal control network and default mode network) in the two groups. …”
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Whole-brain functional connectivity identification of functional dyspepsia. by Jiaofen Nan, Jixin Liu, Guoying Li, Shiwei Xiong, Xuemei Yan, Qing Yin, Fang Zeng, Karen M von Deneen, Fanrong Liang, Qiyong Gong, Wei Qin, Jie Tian

“…Recent neuroimaging studies have shown local brain aberrations in functional dyspepsia (FD) patients, yet little attention has been paid to the whole-brain resting-state functional network abnormalities. …”
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Disturbances in Resting State Functional Connectivity in Schizophrenia: A Study of Hippocampal Subregions, the Parahippocampal Gyrus and Functional Brain Networks by Raghad M. Makhdoum, Adnan A. S. Alahmadi

“…Alterations were observed among the hippocampal subregions and functional brain networks, as well as the formation of new connections and absence of connections. …”
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Exploring the Effects of Motor Training with Neurofeedback on Brain Functional Network in Stroke Patients Based on Functional Near-Infrared Spectroscopy by WANG Yanglong, HUO Congcong, SHAO Guangjian, CHEN Tiandi, LI Zengyong

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Brain functional network abnormalities in Parkinson’s disease patients at different disease stages by Wei Wei, Xinhui Wang, Chao Han, Yu Shen, Panlong Li, Yan Bai, Shuo Liu, Jingyao Xu, Yanhong Shi, Zhou Li, Meiyun Wang

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A functional brain network for hyperphagia derived from causal brain lesions: a systematic review by Tahlia Selzer, Joelle Phua, Andris Cerins, Elizabeth H.X. Thomas, Sera Manuele, Lisanne Jenkins, Leo Chen

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Spatio-temporal dynamic functional brain network for mild cognitive impairment analysis by Shipeng Wen, Jingru Wang, Wenjie Liu, Xianglian Meng, Xianglian Meng, Zhuqing Jiao, Zhuqing Jiao

“…This study proposes a novel spatio-temporal approach for analyzing dynamic brain networks using resting-state fMRI. The method was evaluated on data from 85 subjects (33 healthy controls, 29 Early Mild Cognitive Impairment (EMCI), 23 AD) from the ADNI dataset.ResultsOur model outperformed existing techniques, achieving 83.9% accuracy and 83.1% AUC in distinguishing AD from healthy controls.DiscussionIn addition to improved classification performance, key affected regions such as left hippocampus, the right amygdala, the left inferior parietal lobe, the left olfactory cortex, the right precuneus, and the insula, were identified-areas known to be associated with memory function and early Alzheimer’s pathology. …”
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