Literature DB >> 26284992

Steady-state BOLD Response to Higher-order Cognition Modulates Low-Frequency Neural Oscillations.

Yi-Feng Wang1, Gang-Shu Dai1, Feng Liu1,2, Zhi-Liang Long1, Jin H Yan3, Hua-Fu Chen1.   

Abstract

Steady-state responses (SSRs) reflect the synchronous neural oscillations evoked by noninvasive and consistently repeated stimuli at the fundamental or harmonic frequencies. The steady-state evoked potentials (SSEPs; the representative form of the SSRs) have been widely used in the cognitive and clinical neurosciences and brain-computer interface research. However, the steady-state evoked potentials have limitations in examining high-frequency neural oscillations and basic cognition. In addition, synchronous neural oscillations in the low frequency range (<1 Hz) and in higher-order cognition have received a little attention. Therefore, we examined the SSRs in the low frequency range using a new index, the steady-state BOLD responses (SSBRs) evoked by semantic stimuli. Our results revealed that the significant SSBRs were induced at the fundamental frequency of stimuli and the first harmonic in task-related regions, suggesting the enhanced variability of neural oscillations entrained by exogenous stimuli. The SSBRs were independent of neurovascular coupling and characterized by sensorimotor bias, an indication of regional-dependent neuroplasticity. Furthermore, the amplitude of SSBRs may predict behavioral performance and show the psychophysiological relevance. Our findings provide valuable insights into the understanding of the SSRs evoked by higher-order cognition and how the SSRs modulate low-frequency neural oscillations.

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Year:  2015        PMID: 26284992     DOI: 10.1162/jocn_a_00864

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  10 in total

1.  Low frequency steady-state brain responses modulate large scale functional networks in a frequency-specific means.

Authors:  Yi-Feng Wang; Zhiliang Long; Qian Cui; Feng Liu; Xiu-Juan Jing; Heng Chen; Xiao-Nan Guo; Jin H Yan; Hua-Fu Chen
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2.  Multiscale energy reallocation during low-frequency steady-state brain response.

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Journal:  Hum Brain Mapp       Date:  2018-02-01       Impact factor: 5.038

3.  Altered Intrinsic Brain Activities in Patients with Diabetic Retinopathy Using Amplitude of Low-frequency Fluctuation: A Resting-state fMRI Study.

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Journal:  Diabetes Metab Syndr Obes       Date:  2020-08-13       Impact factor: 3.168

4.  Baseline Brain Activity Changes in Patients With Single and Relapsing Optic Neuritis.

Authors:  Zhuoqiong Ren; Yaou Liu; Kuncheng Li; Yunyun Duan; Huang Jing; Peipeng Liang; Zheng Sun; Xiaojun Zhang; Bei Mao
Journal:  Front Hum Neurosci       Date:  2018-04-20       Impact factor: 3.169

5.  Multiple Frequency Bands Analysis of Large Scale Intrinsic Brain Networks and Its Application in Schizotypal Personality Disorder.

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Journal:  Front Comput Neurosci       Date:  2018-08-03       Impact factor: 2.380

6.  Spatial variability of low frequency brain signal differentiates brain states.

Authors:  Yifeng Wang; Yujia Ao; Qi Yang; Yang Liu; Yujie Ouyang; Xiujuan Jing; Yajing Pang; Qian Cui; Huafu Chen
Journal:  PLoS One       Date:  2020-11-12       Impact factor: 3.240

7.  The temporal dedifferentiation of global brain signal fluctuations during human brain ageing.

Authors:  Yujia Ao; Juan Kou; Chengxiao Yang; Yifeng Wang; Lihui Huang; Xiujuan Jing; Qian Cui; Xueli Cai; Jing Chen
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.996

8.  The Infraslow Frequency Oscillatory Transcranial Direct Current Stimulation Over the Left Dorsolateral Prefrontal Cortex Enhances Sustained Attention.

Authors:  Jingwen Qiao; Xinyu Li; Youhao Wang; Yifeng Wang; Gen Li; Ping Lu; Shouyan Wang
Journal:  Front Aging Neurosci       Date:  2022-03-30       Impact factor: 5.750

9.  Natural frequencies of neural activities and cognitions may serve as precise targets of rhythmic interventions to the aging brain.

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Journal:  Front Aging Neurosci       Date:  2022-09-12       Impact factor: 5.702

10.  Optical mapping of the dominant frequency of brain signal oscillations in motor systems.

Authors:  Feng-Mei Lu; Yi-Feng Wang; Juan Zhang; Hua-Fu Chen; Zhen Yuan
Journal:  Sci Rep       Date:  2017-11-07       Impact factor: 4.379

  10 in total

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