Literature DB >> 26849870

The Time-Varying Networks in P300: A Task-Evoked EEG Study.

Fali Li, Bei Chen, He Li, Tao Zhang, Fei Wang, Yi Jiang, Peiyang Li, Teng Ma, Rui Zhang, Yin Tian, Tiejun Liu, Daqing Guo, Dezhong Yao, Peng Xu.   

Abstract

P300 is an important event-related potential that can be elicited by external visual, auditory, and somatosensory stimuli. Various cognition-related brain functions (i.e., attention, intelligence, and working memory) and multiple brain regions (i.e., prefrontal, frontal, and parietal) are reported to be involved in the elicitation of P300. However, these studies do not investigate the instant interactions across the neural cortices from the hierarchy of milliseconds. Importantly, time-varying network analysis among these brain regions can uncover the detailed and dynamic information processing in the corresponding cognition process. In the current study, we utilize the adaptive directed transfer function to construct the time-varying networks of P300 based on scalp electroencephalographs, investigating the time-varying information processing in P300 that can depict the deeper neural mechanism of P300 from the network. Our analysis found that different stages of P300 evoked different brain networks, i.e., the center area performs as the central source during the decision process stage, while the source region is transferred to the right prefrontal cortex (rPFC) in the neuronal response stage. Moreover, during the neuronal response stage, the directed information that flows from the rPFC to the parietal cortex are remarkably important. These findings indicate that the two brain hemispheres exhibit asymmetrical functions in processing related information for different P300 stages, and this work may provide new evidence for our better understanding of the neural mechanism of P300 generation.

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Mesh:

Year:  2016        PMID: 26849870     DOI: 10.1109/TNSRE.2016.2523678

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  18 in total

1.  Transition of brain networks from an interictal to a preictal state preceding a seizure revealed by scalp EEG network analysis.

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Journal:  Cogn Neurodyn       Date:  2019-01-02       Impact factor: 5.082

2.  A survey of brain network analysis by electroencephalographic signals.

Authors:  Cuihua Luo; Fali Li; Peiyang Li; Chanlin Yi; Chunbo Li; Qin Tao; Xiabing Zhang; Yajing Si; Dezhong Yao; Gang Yin; Pengyun Song; Huazhang Wang; Peng Xu
Journal:  Cogn Neurodyn       Date:  2021-06-14       Impact factor: 5.082

3.  The time-varying networks of the wrist extension in post-stroke hemiplegic patients.

Authors:  Fali Li; Lin Jiang; Yangsong Zhang; Dongfeng Huang; Xijun Wei; Yuanling Jiang; Dezhong Yao; Peng Xu; Hai Li
Journal:  Cogn Neurodyn       Date:  2021-11-02       Impact factor: 3.473

4.  Dynamic networks of P300-related process.

Authors:  Qin Tao; Lin Jiang; Fali Li; Yuan Qiu; Chanlin Yi; Yajing Si; Cunbo Li; Tao Zhang; Dezhong Yao; Peng Xu
Journal:  Cogn Neurodyn       Date:  2022-01-10       Impact factor: 3.473

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Authors:  Dezhong Yao; Yangsong Zhang; Tiejun Liu; Peng Xu; Diankun Gong; Jing Lu; Yang Xia; Cheng Luo; Daqing Guo; Li Dong; Yongxiu Lai; Ke Chen; Jianfu Li
Journal:  Cogn Neurodyn       Date:  2020-03-17       Impact factor: 3.473

6.  Cortical Classification with Rhythm Entropy for Error Processing in Cocktail Party Environment Based on Scalp EEG Recording.

Authors:  Yin Tian; Wei Xu; Li Yang
Journal:  Sci Rep       Date:  2018-04-17       Impact factor: 4.379

7.  Top-Down Disconnectivity in Schizophrenia During P300 Tasks.

Authors:  Fali Li; Jiuju Wang; Yuanling Jiang; Yajing Si; Wenjing Peng; Limeng Song; Yi Jiang; Yangsong Zhang; Wentian Dong; Dezhong Yao; Peng Xu
Journal:  Front Comput Neurosci       Date:  2018-05-23       Impact factor: 2.380

8.  Altered Functional Connectivity in Children with ADHD Revealed by Scalp EEG: An ERP Study.

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Journal:  Neural Plast       Date:  2021-05-11       Impact factor: 3.599

9.  Time-Varying Networks of Inter-Ictal Discharging Reveal Epileptogenic Zone.

Authors:  Luyan Zhang; Yi Liang; Fali Li; Hongbin Sun; Wenjing Peng; Peishan Du; Yajing Si; Limeng Song; Liang Yu; Peng Xu
Journal:  Front Comput Neurosci       Date:  2017-08-18       Impact factor: 2.380

10.  The Scalp Time-Varying Networks of N170: Reference, Latency, and Information Flow.

Authors:  Yin Tian; Wei Xu; Huiling Zhang; Kin Y Tam; Haiyong Zhang; Li Yang; Zhangyong Li; Yu Pang
Journal:  Front Neurosci       Date:  2018-04-18       Impact factor: 4.677

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