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    Home > Active Ingredient News > Study of Nervous System > Cereb Cortex—The Team of Shanbao Tong/Xiangfei Hong reveals important influencing factors in EEG alpha rhythms in the visuospatial attention mission

    Cereb Cortex—The Team of Shanbao Tong/Xiangfei Hong reveals important influencing factors in EEG alpha rhythms in the visuospatial attention mission

    • Last Update: 2022-09-15
    • Source: Internet
    • Author: User
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    Written by - Wang Jiaqi, Hong Xiangfei

    Editor-in-charge - Wang Sizhen

    Editor — Binwei Yang


    Humans can actively shift their visual attention to any location that is different from the eye gaze position, and this implicit attention effectively facilitates information processing at the attentional position while inhibiting the processing of information in the non-attentional position [1,2].



    On August 25, 2022, Professor Tong Shanbao's research group from the School of Biomedical Engineering of Shanghai Jiao Tong University and Dr.




    In the visuospatial selective attention task, the alpha rhythm in the scalp EEG will be desynchronized (energy reduction) and lateralized regulation after prompting, which may reflect the regulation



    1.


    In both experiments, the overall behavioral results showed that all subjects completed the experimental task as required, using spatial cue cues to focus visual attention on the suggested side of the field of view


    Second, the overall EEG results

    Post-suggestive alpha activity in the parietal occipital lobe region (Figure 1A) indicates that visual spatial attention can deflect alpha energy, i.


    Figure 1 Overall prompts post-alpha activity and target stimulation-induced ERP

    (Source: Wang, el al.



    Figure 2 shows the EEG power spectrum and between-subject grouping within the first 1000 milliseconds

    (Source: Wang, el al.


    Between-subject results of higher and lower baseline alpha subjects

    Only the higher alpha participant group showed significant suggestive posterior parietal occipital alpha laterality, while the lower alpha subject grouping did not have a significant degree of alpha (Figure 3), indicating that post-prompt alpha activity was closely related
    to the subject's baseline alpha energy before prompting in the visuospatial attention task.

    In the target stimulation processing stage (Figure 4), both higher and lower alpha subjects in the directive cue task (Exp 1) showed significant N1 amplitude attention regulation (enhancement), and there was no difference in the increase between the two groups; In the probabilistic cue task (Exp 2), significant N1 attention regulation was observed only in higher alpha subjects, suggesting that the target process reflected by N1 may be influenced by a combination of pre-prompt alpha energy and cue strategies
    .

    Figure 3 between-subject grouping under hint alpha activity

    (Source: Wang, el al.
    , Cereb Cortex, 2022)

    Figure 4 Target stimulus-induced ERP under between-subject grouping

    (Source: Wang, el al.
    , Cereb Cortex, 2022)

    The EEG results of the Higher and lower baseline alpha trial groupings both showed significant suggestive posterior parietal occipital lobe alpha laterality, but the alpha energy changes in the opposite direction after the hint between the two groups: the higher alpha trial group was significantly desynchronized, and the lower alpha trial group was significantly synchronized (Figure 5

    In the target stimulation processing stage (Figure 6), the higher and lower alpha attempts in the directive cue task (Exp 1) showed significant N1 amplitude attention regulation (enhancement), and there was no difference in the increase between the two groups; In the probabilistic cue task (Exp 2), significant N1 attention regulation was observed only in lower alpha trials
    .

    Comparing the results of the above different level groupings, it is suggested that between the width-subject level and the between-subject level, the significance reflected by the pre-prompt baseline alpha energy may be different, the former may represent the direct excitability of the visual cortex (lower alpha represents higher excitability), and the latter may be related to the attention mechanism of the individual subject (higher only Alpha bias after alpha subjects appear prompted)
    ).

    Figure 5 within-subject grouping under hints after alpha activity

    (Source: Wang, el al.
    , Cereb Cortex, 2022)

    Figure 6 Target stimuli-induced ERP under the within-subject grouping

    (Source: Wang, el al.
    , Cereb Cortex, 2022)

    Conclusions and discussions, inspiration and prospects

    In summary, the study reveals that in the visuospatial attention task, the post-cue alpha rhythm regulation feature depends largely on the baseline alpha energy level before the cue, and is true in both imperative and probabilistic cue strategies
    .

    However, the effect of pre-prompt alpha energy on target stimulation processing may be related
    to the cue strategy.

    This suggests, in part, that alpha rhythms and their desynchronization/eccentric regulation may not be indispensable
    to the task of visual spatial attention.

    Nevertheless, due to the limitations of scalp EEG in terms of spatial resolution, and the fact that the brain imaging data of the subjects was not collected in this study, it was impossible to further accurately locate alpha rhythms based on individualized brain structure imaging data, which limited the further interpretation
    of baseline alpha energy in this study.

    Future studies based on personalized brain structure imaging data and multichannel scalp EEG/MAGNETO will help uncover the specific physiological implications
    behind alpha rhythms.

    In conclusion, this study shows that pre-cue alpha energy and cue strategies are two important factors that should be considered in future relevant studies
    .

    Link to the original article: https://doi.
    org/10.
    1093/cercor/bhac326

    Jiaqi Wang (PhD student, School of Biomedical Engineering, Shanghai Jiao Tong University) is the first author of this paper; Prof.
    Shanbao Tong (School of Biomedical Engineering, Shanghai Jiao Tong University) and Dr.
    Xiangfei Hong (Mental Health Center Affiliated to Shanghai Jiao Tong University School of Medicine) are the co-corresponding authors
    of this paper.

    The paper was strongly supported
    by two professors, Sun Junfeng (School of Biomedical Engineering, Shanghai Jiao Tong University) and Li Chunbo (Mental Health Center Affiliated to Shanghai Jiao Tong University School of Medicine).

    This research was supported
    by the National Natural Science Foundation of China (61601294, U20B2074, 61571295) and the Shanghai Natural Science Foundation of China (22ZR1453800).

    First author: Wang Jiaqi (left), Corresponding Author: Hong Xiangfei (middle), Tong Shanbao (right)

    (Photo courtesy of: Hong Xiangfei / Tong Shanbao Research Group)

    In recent years, the research group has carried out a series of research work on visual spatial attention and its influence on aging (Hong et al.
    , NeuroImage, 2015; Hong et al.
    , Sci Rep, 2017; Hong et al.
    , Int J Psychophysiol, 2020; Hong et al.
    , Hum Brain Mapp, 2020
    ).

    Selected articles from previous issues

    [1] Cereb Cortex—Excavation and analysis of imaging subtypes for the heterogeneity of schizophrenia

    [2] Front Cell Neurosci Review:Gamma Neural Oscillation and Central Nervous System Diseases: Mechanisms and Therapeutic Advances

    [3] The NAR-He Cheng/Su Zhida team found that topoisomerase IIA can regulate adult neurogenesis in the subependymal region

    [4] The Sci Adv-Liao Wenbo team has made important progress in the adaptive evolution of amphibian brain volume

    [5] J Neuroinflammation—From Changchun/Jian Zhang's team found that targeting proteoglycan receptors after hemorrhagic stroke protects white matter integrity and promotes the recovery of neurological function

    [6] Front Aging Neurosci—Zeng Yanbing's team established a predictive model and revealed the effects of behavioral changes on cognitive impairment in the elderly

    [7] Sci Adv-Zhao Cunyou/Chen Rongqing team revealed the mechanism of microRNA inducing social and memory abnormalities in mice: miR-501-3p expression defects enhance glutamate delivery

    [8] Sci Adv-Zhang Yi's research group found important neurons that regulate drug addiction behavior

    [9] J Infect-Yifei Wang's team revealed that the maMDC2 high-expression gene in Alzheimer's disease microglia positively regulates the innate antiviral response of neurophilic virus infection

    [10] Sci Adv—Xia Kun/Shen Yiping/Guo Hui revealed the relationship between key regulatory genes of stress particles and neurodevelopmental disorders

    Recommended for high-quality scientific research training courses

    【1】Special Training on Biomedical Statistics for Clinical Prediction of R Language (October 15-16, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing)

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