1.Multisensory Conflict Impairs Cortico-Muscular Network Connectivity and Postural Stability: Insights from Partial Directed Coherence Analysis.
Guozheng WANG ; Yi YANG ; Kangli DONG ; Anke HUA ; Jian WANG ; Jun LIU
Neuroscience Bulletin 2024;40(1):79-89
Sensory conflict impacts postural control, yet its effect on cortico-muscular interaction remains underexplored. We aimed to investigate sensory conflict's influence on the cortico-muscular network and postural stability. We used a rotating platform and virtual reality to present subjects with congruent and incongruent sensory input, recorded EEG (electroencephalogram) and EMG (electromyogram) data, and constructed a directed connectivity network. The results suggest that, compared to sensory congruence, during sensory conflict: (1) connectivity among the sensorimotor, visual, and posterior parietal cortex generally decreases, (2) cortical control over the muscles is weakened, (3) feedback from muscles to the cortex is strengthened, and (4) the range of body sway increases and its complexity decreases. These results underline the intricate effects of sensory conflict on cortico-muscular networks. During the sensory conflict, the brain adaptively decreases the integration of conflicting information. Without this integrated information, cortical control over muscles may be lessened, whereas the muscle feedback may be enhanced in compensation.
Humans
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Muscle, Skeletal
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Electromyography/methods*
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Electroencephalography/methods*
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Brain
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Brain Mapping
2.The Global Landscape of SARS-CoV-2 Genomes, Variants, and Haplotypes in 2019nCoVR
Song SHUHUI ; Ma LINA ; Zou DONG ; Tian DONGMEI ; Li CUIPING ; Zhu JUNWEI ; Chen MEILI ; Wang ANKE ; Ma YINGKE ; Li MENGWEI ; Teng XUFEI ; Cui YING ; Duan GUANGYA ; Zhang MOCHEN ; Jin TONG ; Shi CHENGMIN ; Du ZHENGLIN ; Zhang YADONG ; Liu CHUANDONG ; Li RUJIAO ; Zeng JINGYAO ; Hao LILI ; Jiang SHUAI ; Chen HUA ; Han DALI ; Xiao JINGFA ; Zhang ZHANG ; Zhao WENMING ; Xue YONGBIAO ; Bao YIMING
Genomics, Proteomics & Bioinformatics 2020;18(6):749-759
On January 22, 2020, China National Center for Bioinformation (CNCB) released the 2019 Novel Coronavirus Resource (2019nCoVR), an open-access information resource for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). 2019nCoVR features a comprehensive integra-tion of sequence and clinical information for all publicly available SARS-CoV-2 isolates, which are manually curated with value-added annotations and quality evaluated by an automated in-house pipeline. Of particular note, 2019nCoVR offers systematic analyses to generate a dynamic landscape of SARS-CoV-2 genomic variations at a global scale. It provides all identified variants and their detailed statistics for each virus isolate, and congregates the quality score, functional annotation,and population frequency for each variant. Spatiotemporal change for each variant can be visualized and historical viral haplotype network maps for the course of the outbreak are also generated based on all complete and high-quality genomes available. Moreover, 2019nCoVR provides a full collection of SARS-CoV-2 relevant literature on the coronavirus disease 2019 (COVID-19), including published papers from PubMed as well as preprints from services such as bioRxiv and medRxiv through Europe PMC. Furthermore, by linking with relevant databases in CNCB, 2019nCoVR offers data submission services for raw sequence reads and assembled genomes, and data sharing with NCBI. Collectively, SARS-CoV-2 is updated daily to collect the latest information on genome sequences, variants, hap-lotypes, and literature for a timely reflection, making 2019nCoVR a valuable resource for the global research community. 2019nCoVR is accessible at https://bigd.big.ac.cn/ncov/.