Passive hyperthermia alters the resting-state functional connectivity of mouse brain by Yang Ruan, Kai Liu, Bo Li, Shaowen Qian, Hongxia Lei, Yao Xing, Gang Sun

“…After data preprocessing, we performed independent component analysis (ICA) and region of interested (ROI)-ROI functional connectivity (FC) analyses on the data of both HT (n = 13) and NC (n = 15).Results The group ICA analysis showed that the HT and the NC both included 11 intrinsic connectivity networks (ICNs), and can be divided into four types of networks: the cortical network (CN), the subcortical network (SN), the default mode network (DMN), and cerebellar networks. …”
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Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy by Xin Huang, Yan Tong, Chen-Xing Qi, Han-Dong Dan, Qin-Qin Deng, Yin Shen

“…The purpose of this study was to investigate the intranetwork functional connectivity (FC) and functional network connectivity (FNC) of RSN changes in DR patients using independent component analysis (ICA). Thirty-four DR patients (18 men and 16 women; mean age, 53.53±8.67 years) and 38 nondiabetic healthy controls (HCs) (15 men and 23 women; mean age, 48.63±11.83 years), closely matched for age, sex, and education, underwent resting-state magnetic resonance imaging scans. …”
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The Efficacy and Brain Network Mechanism of Acupuncture for Knee Osteoarthritis: A Study Protocol for Randomized Controlled Neuroimaging Trial by Sun YY, Wang ML, Zhao RH, Hao MY, Song S, Zhou Y, Zhang N

“…The primary efficacy indicator will be the change in NRS score after four weeks of treatment, with secondary outcomes including WOMAC, STAI, and safety assessments. fMRI observations will employ independent component analysis, brain network construction, and functional connectivity, complemented by Pearson correlation analysis to explore the relationship between brain responses and clinical improvements.Conclusion: This study will initially uncover how acupuncture intervention for chronic KOA pain centrally regulates and exerts therapeutic effects through the modulation of abnormal brain network functional connectivity patterns, with a demonstrated long-term effect.Ethics and Dissemination: This study has been approved by the ethics committee of Shandong University of Traditional Chinese Medicine Affiliated Hospital ((2024) Lunshen No. (028) - KY).Clinical Trial Registration: This study has been approved by registered in the Chinese Clinical Trial Registry (ChiCTR2400083695).Keywords: acupuncture, knee osteoarthritis, neuroimaging, RCT, protocol…”
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Revealing the Neuroimaging Mechanism of Acupuncture for Poststroke Aphasia: A Systematic Review by Boxuan Li, Shizhe Deng, Bomo Sang, Weiming Zhu, Bifang Zhuo, Menglong Zhang, Chenyang Qin, Yuanhao Lyu, Yuzheng Du, Zhihong Meng

“…Based on blood oxygen level-dependent (BOLD) and diffusion tensor imaging (DTI) technologies, 4 neuroimaging analysis methods were used including amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), seed-based analysis, and independent component analysis (ICA). Two studies reported the instant acupuncture effect, and 14 studies reported the constant acupuncture’s effect on poststroke aphasia patients. 5 studies analyzed the correlation between the neuroimaging outcomes and the clinical language scales. …”
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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…This study proposed using a time domain multivariate granger-entropy-aided dynamic independent component analysis (DICA)—distributed canonical correlation analysis approach, incorporating the dynamics time wrapping supported time delay-signed directed graph. …”
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Effect of Acupuncture Stimulation of Hegu (LI4) and Taichong (LR3) on the Resting-State Networks in Alzheimer’s Disease: Beyond the Default Mode Network by Shaozhen Ji, Hao Zhang, Wen Qin, Ming Liu, Weimin Zheng, Ying Han, Haiqing Song, Kuncheng Li, Jie Lu, Zhiqun Wang

“…In addition to the DMN, five other resting-state networks were identified by independent component analysis (ICA), including left frontal parietal network (lFPN), right frontal parietal network (rFPN), visual network (VN), sensorimotor network (SMN), and auditory network (AN). …”
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Functional Connectivity Alterations in Children with Spastic and Dyskinetic Cerebral Palsy by Yun Qin, Yanan Li, Bo Sun, Hui He, Rui Peng, Tao Zhang, Jianfu Li, Cheng Luo, Chengyan Sun, Dezhong Yao

“…Resting-state networks (RSNs) were established based on the independent component analysis (ICA), and the functional network connectivity (FNC) was performed on the fMRI data from 16 DCP, 18 bilateral SCP, and 18 healthy children. …”
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Segmentation of Dynamic Total-Body [18F]-FDG PET Images Using Unsupervised Clustering by Maria K. Jaakkola, Maria Rantala, Anna Jalo, Teemu Saari, Jaakko Hentilä, Jatta S. Helin, Tuuli A. Nissinen, Olli Eskola, Johan Rajander, Kirsi A. Virtanen, Jarna C. Hannukainen, Francisco López-Picón, Riku Klén

“…We combined k-means with two different preprocessing approaches, namely, principal component analysis (PCA) and independent component analysis (ICA). Then, we selected a suitable number of clusters using 10 images. …”
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Multiparameter resting-state functional magnetic resonance imaging as an indicator of neuropsychological changes in Binswanger’s disease with mild cognitive impairment by Haiyi Zhang, Lu Zhang, Juan Lu, Jiajun Yue, Zhengzhen Yuan, Jidan Hu, Qi Yao, Yuting Fu, Guiquan Chen, Jiliang Fang, Jie Zhao

“…The multiparameter functional magnetic resonance imaging (fMRI) including amplitude of low-frequency fluctuations (ALFF), fractional amplitude of low-frequency fluctuations (fALFF), regional homogeneity (ReHo), independent component analysis (ICA), and edge-link analysis was utilized to explore the abnormal brain networks of BD-MCI patients. …”
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Dynamic functional connectivity patterns predict early antidepressant treatment response in drug-naïve, first-episode adolescent MDD by Maojia Ran, Hang Zhang, Meijiang Jin, Yuanmei Tao, Hanmei Xu, Shoukang Zou, Zhujun Wang, Fang Deng, Lijuan Huang, Hong Zhang, Xiaowei Tang, Yanping Wang, Xia Fu, Li Yin, Li Yin, Li Yin

“…Resting state and T1 MRI data were collected in MDD adolescents before and after treatment and in HCs. Independent component analysis (ICA) was used to compare the different dFC pattern between MDD adolescents and HCs at baseline, as well as which between before and after treatment in MDD adolescents. …”
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UHF RFID anti-collision algorithm based on blind separation and dynamic bit-slot grouping by Hua LI, Zhi-ping JIA, Hong-jun WANG, Ju LIU

“…A novel ultra high frequency(UHF)radio frequency identification（RFID）anti-collision algorithm based on independent components analysis(ICA)and dynamic bit-slot grouping technology was proposed.The ICA algorithm was used for identifying several tags simultaneously.The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’number,and enabling the ICA wouldn’t work in an underdetermined state.Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.…”
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