1 Introduction
Acupuncture, as a supplementary alternative therapy, is often used for the treatment of eye disease. Studies have found that acupuncture can improve the mean light sensitivity of patients with non-arteritic anterior ischemic optic neuropathy and reduce the mean defect (Qin et al., 2015), as well as improve the visual acuity and contrast sensitivity (CS) of patients with retinitis pigmentosa and nystagmus (Bittner et al., 2014; Blechschmidt et al., 2017). Myopia is one of the common visual disorders that can lead to a loss of visual quality (Zorena et al., 2018), and the global prevalence of it has been increasing in recent years; it is estimated that the myopic population will account for 49.8% of the total global population by 2050 (Baird et al., 2020; Dong et al., 2020). Recent studies have shown that acupuncture at the Taiyang and other acupoints can improve the uncorrected distance visual acuity (UDVA) in myopia (Yachan et al., 2015; Zhuang et al., 2022; Table 1). Visual acuity reflects visual function only for high-contrast stimuli (Arikan and Kamis, 2022), whereas CS can also evaluate the visual function for low- and medium-contrast stimuli. Low and medium contrast visual functions are equally important in daily life (such as driving at night, reading newspapers, and identifying object boundaries, etc.) (Onal et al., 2008; Roark and Stringham, 2019; Zhuang et al., 2021); however, whether acupuncture can improve the CS of patients with myopia is still uncertain.
Table 1. The impact of acupuncture on visual function.
A perceptual learning study has indicated that CS improvement was positively correlated with the training-induced contrast gain of neurons in striate cortex (V1) (Hua et al., 2010), and Spiegel et al. (2013) believed that anodal transcranial direct current stimulation (tDCS) in amblyopia can reduce activation in extrastriate cortex (V2 and V3) from the fellow eye input. First, the fellow eye means the control eye, which is the relatively good eye of the amblyopia (Spiegel et al., 2013), and selectively increases the cortical reflection of the amblyopic eye input, which in turn improves the contrast sensitivity of the amblyopic eye. Further research has shown that training-induced CS enhancement was negatively correlated with glutamine levels in visual areas (Jia et al., 2022). A study by Quentin et al. (2016) found that CS was improved after transcranial magnetic stimulation of the right frontal lobe. Ding and his colleagues confirmed that tDCS to higher-order brain areas (A7) can have a top-down effect, thereby enhancing the excitement of the V1 cortex, manifested as the improvement of CS (Ding et al., 2021). Therefore, acupuncture to improve the CS of myopic patients may not only be related to the visual area, but it may also involve broader brain regions or brain function networks.
Electroencephalography (EEG), as a non-invasive neuroimaging method, can study the dynamic changes of the brain in the milliseconds (Michel and Koenig, 2018; Li et al., 2022). EEG microstates refer to states in which the scalp potential field remains quasi-stable at a given moment or period (Koenig et al., 2002; Khanna et al., 2015; Michel and Koenig, 2018), and these states are closely related to the resting state networks of functional magnetic resonance imaging (fMRI) (Britz et al., 2010; Musso et al., 2010; Yuan et al., 2012; D’Croz-Baron et al., 2019). Studies based on fMRI show that acupuncture can regulate the activation state of the salience network (Huang et al., 2022; Lee and Chae, 2022) and alter the functional connectivity between different brain networks (Dhond et al., 2008; Ning et al., 2022). In addition, changes in microstates parameters (e.g., duration, contribution, and transition probability) induced by acupuncture can be used as objective indicators of acupuncture effects (Si et al., 2021), which can be used to reveal the modulatory effects of acupuncture on the nervous system of the brain (Zhang et al., 2023).
Studies have found that scalp acupoints are more likely to alter brain function compared with limb acupoints (Park et al., 2009) and, according to traditional Chinese medicine theory, the Taiyang acupoint (EX-HN5) is a common point for treating eye diseases and has the effect of brightening the eyes, relieving asthenopia, and promoting qi and blood circulation (Lam et al., 2011; Yang et al., 2012). Furthermore, studies (Bittner et al., 2014; Blechschmidt et al., 2017) have shown that acupuncture points such as the Taiyang improve visual functions like visual acuity and CS. In this study, we examined the UDVA and CS of myopic patients before and after acupuncture at the right Taiyang acupoint and used EEG to collect the subject’s brain electrical activity of the entire process of acupuncture, then observed the changes in the brain activation using EEG microstates methodology. In addition, the correlation between changes in microstates and visual function was analyzed.
2 Materials and methods
2.1 Subjects and recruitment
Inclusion criteria:
1. Aged 20 ~ 25 years old;
2. a spherical equivalent (SE) ≤ −0.50D, and > −6.00D (Note: SE = spherical+1/2cylinder);
3. cylinder power ≤ 1.50D and binocular anisometropia ≤1.00D;
4. subjects can accept wearing soft contact lenses to correct vision, and the best corrected visual acuity of the eye is 0.00logMAR or better;
5. except for myopia and astigmatism, there are no other lesions that affect vision;
6. right-handed.
Exclusion criteria:
1. Received acupuncture in the past 3 months;
2. subjects suffering from keratitis, conjunctivitis, glaucoma, nystagmus, small palpebral fissure, or combined with other ophthalmic organic diseases after ophthalmological examination;
3. suffering from attention deficit and hyperactivity disorder, claustrophobia, and neurological or psychiatric disorders;
4. the subject was unable to undergo the experimental protocol.
According to the inclusion and exclusion criteria, this study recruited 18 myopic patients, including nine males and nine females.
2.2 Visual function examination
The UDVA and CS of the subjects were examined before and after acupuncture (20 min), and the order of binocular examination was randomized.
2.2.1 UDVA examination
UDVA was examined using a standard logarithmic visual acuity chart and then converted to logMAR visual acuity for recording.
2.2.2 CS examination
The OPTEC 6500 functional acuity contrast test (Stereo Optical Co., Inc., Chicago, IL, USA) was used to examine CS. The equipment has five sets of different spatial frequencies (i.e., 1.5, 3, 6, 12, and 18 cpd), and each set of spatial frequencies consists of nine circular sine-wave gratings with contrast decreasing in 0.15 log units. Each grating contains three directions: vertical, a 15° tilt to the left, and a 15° tilt to the right, and the angle visual is 1.7°.
Without glare mode, choosing photopic conditions (85cd/m2), and setting a far vision (6m), and setting without glare mode. First the subjects wore soft contact lenses, and then a same examiner examined their monocular CS according to the low spatial frequency to high spatial frequency, high contrast to low contrast sequence, and the final recognized grating of each spatial frequency as its CS value (Arikan and Kamis, 2022).
2.3 Acupuncture method
The acupuncture operation was performed by an experienced physician, using disposable sterile acupuncture needles (specification: 0.30 mm × 25 mm, Suzhou Huatuo Medical Co., Ltd.) to acupuncture the right Taiyang acupoint (at the temporal fossa, 1 cun behind the midpoint of a line from the lateral end of the eyebrow to the external canthus, Figure 1). The acupuncture method used retains the needle after inserting the needle to deqi, and then twisting manipulation is performed to achieve even reinforcing-reducing, with the frequency of twisting manipulation being 100 times/min. Both retention and stimulation time were 1 min, and the needle was removed after three repetitions (Chen et al., 2012). The entire acupuncture process was 18 min, including the resting state, acupuncture operation, and the post-acupuncture state, as shown in Figure 2.
Figure 1. The location of the Taiyang acupoint.
Figure 2. Acupuncture method; (A) and (B) represent the resting state and the post-acupuncture state, separately; (R1)–(R3) represents the needle inserted, and (S1)–(S3) represents stimulation. The time of both R and S is 1 min.
2.4 EEG recording
The EEG signals were recorded by a NicoletOne with 29 channels in the international 10–20 system, and the reference electrode is Cpz. During the experiment, the impedance between the electrodes and the scalp was less than 5 kΩ, and the signal sampling rate was 1,024 Hz. The subjects sat quietly on a chair and were instructed to close their eyes, relax, and keep as static as possible during the collection process. EEG data were recorded during the entire acupuncture process, Figure 2.
2.5 Data analysis
2.5.1 EEG data preprocessing
Data were extracted for 6 min from the resting state and the post-acupuncture state, respectively, then preprocessed using the EEGLAB (2021.1) toolbox in the MATLAB R2020a (The MathWorks, Natick, MA, United States) operating environment. First, a finite impulse response (FIR) filter was used for bandpass filtering in the 0.5–60 Hz range, followed by 50 Hz notch filtering to remove power line noise (Gao et al., 2018; Cui et al., 2021; Si et al., 2021; Zhao et al., 2022). Then, electromyography (EMG) and electrooculogram (EOG) were removed using blind source separation (BSS). Finally, the data were segmented into 2 s epochs, in which epochs with an amplitude of more than ±80 μV at any channel were rejected. As a result, the preprocessing procedures resulted in 176–180 (178 ± 2) 2-s epochs for the resting state and 176–180 (175 ± 14) 2-s epochs for the post-acupuncture state.
2.5.2 EEG microstate analysis
The microstate analysis method considers the multichannel EEG electrodes as a series of quasistable microstates, and the topography of each state corresponds to the fMRI resting-state network. Currently, this method has been applied to the study of resting states (Gschwind et al., 2016; Chu et al., 2020; Xiong et al., 2021). EEG microstate analysis conducted with the Microstates 1.2 plug-in for EEGLAB. First, the last 4 min of both the resting state and the post-acupuncture state were chosen, and then the reference channels were converted to average reference (Koenig et al., 2002; Michel and Koenig, 2018). Second, to reduce artifacts in the EEG data, an FIR was used for further bandpass filtering from 2 to 20 Hz (Koenig et al., 2002). Then, the global field power (GFP) was calculated. GFP describes the standard deviation of all electrodes within a given time, and EEG data at the maximum value was selected as a discrete brain electrocardiogram microstate which has the best topographic diagram signal-to-noise ratio (equation 1; Si et al., 2021; Qiu et al., 2022). Thus, we only used data at the peak of the GFP for the follow-up analysis. Next, each subject data was analyzed separately by k-means clustering according to two conditions, the resting state and the post-acupuncture state (we set the re-calculating parameter to be 50), and to identify the specific group maps of different conditions, the individual cluster maps of all subjects were averaged by the permutation algorithm (Koenig et al., 2002; Kim et al., 2021). Referring to previous classic EEG microstate research, the number of microstate categories was set to four (Koenig et al., 1999, 2002; Hu et al., 2021), which can explain the most variance of the topographic map during the EEG microstate clustering. Then, we obtained the map topographies of different conditions. Finally, the parameters of the microstate (i.e., duration, occurrence, contribution, and transition probability) were calculated. Duration indicates that each microstate maintains a stable average time length when it appears; occurrence represents the number of times each microstate appears per second; contribution describes the proportion of the total time of each microstate; and transition probability indicates the probability of converting from one microstate to another (Croce et al., 2020; Ricci et al., 2022).
(N = number of electrodes, Vi
2.6 Statistical analysis
Statistical analysis was conducted by SPSS version 26. For the UDVA, CS values, and microstate parameters, a separate two-sample t-test was conducted with false discovery rate (FDR) correction [*p(FDR) < 0.05, **p(FDR) < 0.01, ***p(FDR) < 0.001]. Paired t-test was performed for transition probability between the resting state and the post-acupuncture state to check whether there were significant differences. Pearson’s correlation and linear regression analysis were conducted between the CS value of each spatial frequency and EEG microstate parameters.
3 Results
3.1 UDVA result
UDVA changes before and after acupuncture of both eyes had no statistical significance (Table 2).
Table 2. UDVA changes before and after acupuncture.
3.2 CS result
Compared with before acupuncture, the CS value was increased at each spatial frequency (for the right eye: p1.5cpd(FDR) = 0.000, p3cpd(FDR) = 0.000, p6cpd(FDR) = 0.000, p12cpd(FDR) = 0.002, and p18cpd(FDR) = 0.000; for the left eye: p1.5cpd(FDR) = 0.000, p3cpd(FDR) = 0.000, p6cpd(FDR) = 0.000, p12cpd(FDR) = 0.001, and p18cpd(FDR) = 0.000) after acupuncture (Figure 3). The difference between the eyes was not statistically significant.
Figure 3. CS difference for each spatial frequency before and after acupuncture. OD, right eye; OS, left eye. **p(FDR) < 0.01, ***p(FDR) < 0.001.
3.3 Microstates result
3.3.1 Global explained variance
Figure 4 shows the four types of EEG microstate topography during the resting state and the post-acupuncture state, the global explained variance (GEV) of the resting state and the post-acupuncture state was 76.08 and 78.50%, separately. There was no statistical significance between them.
Figure 4. (A-D) EEG microstate maps during the resting state and the post-acupuncture state.
3.3.2 Microstate parameters
The contribution of the microstate C showed a decrease during the post-acupuncture state compared with the resting state (p(FDR) = 0.0325) (Figure 5). The duration and the occurrence had no statistical significance between the resting state and the post-acupuncture state. Compared with the resting state, the transition probability between microstate A and microstate C was decreased during the post-acupuncture state (pA to C= 0.019, pC to A= 0.022) (Figure 6).
Figure 5. Contribution changes of microstate C during the resting state and the post-acupuncture state. *p(FDR) < 0.05.
Figure 6. Transition probability between different microstates during the resting state and the post-acupuncture state. *p < 0.05.
3.3.3 Correlation between microstate parameters and CS
Therefore, we performed a Pearson’s correlation analysis of the contribution and transition probability between microstate A and microstate C and the monocular CS. The contribution and CS of 12 and 18 cpd of the OD as right eye (RE) were negatively related (r = −0.363, p = 0.030; r = −0.455, p = 0.000); the results for the OS as left eye (LE) were consistent with those for the right eye (r = −0.355, p = 0.033; r = −0.344, p = 0.040). The correlation of the contribution and CS of left space frequencies had the same trend, but there was no statistical difference (Figure 7).
Figure 7. Correlation between contribution of microstate C and CS. The right panels are for the right eye, and the left panels are for the left eye. *p(FDR) < 0.05, **p(FDR) < 0.01.
4 Discussion
In this study, we analyzed the effects of acupuncture on the right Taiyang acupoint of myopic patients on visual function and electroencephalographic activity to investigate the correlation between the improvement of visual function and the changes in the brain. The study found that acupuncture can improve the CS of patients with myopia, but it does not significantly improve the UDVA; acupuncture can reduce the contribution of microstate C and the transition probability between microstate A and microstate C. In addition, the contribution of microstate C was negatively correlated the monocular CS at 12 and 18cpd.
Although it has been shown that the tDCS of the posterior part of the head (occipital lobe) improves CS, this improvement is related to the pre-stimulation visual performance (the worse the pre-stimulation visual performance of a spatial frequency, the higher the gain of that spatial frequency after stimulation) (Wu et al., 2021). This study found that acupuncture at the right Taiyang acupoint of myopic patients increased CS at all spatial frequencies; this is different from the results of the above research. It may be due to the different mechanisms of acupuncture and the tDCS (Zhuang et al., 2013; Bello et al., 2023). In addition, research has found that the acupuncture at the anterior parts of the head can improve CS, which is consistent with the results of this study (Bittner et al., 2014; Blechschmidt et al., 2017).
According to fMRI-EEG multimodal studies, it has been shown that the neural components generating microstates overlapped with resting state networks independently identified with fMRI and that EEG-based microstates were strongly correlated with fMRI resting state networks (Zhao et al., 2022). Among them, microstate A corresponds to the auditory network, and microstate C is reflected in the salience network (Michel and Koenig, 2018; Ricci et al., 2022). Of these, the salience network, a high-order cognitive processing-related cortical network, can extract information from the most salient stimuli (Chen et al., 2016; Marstaller et al., 2021) and generate top-down feedback (Seeley et al., 2007), increasing sensitivity to relevant information (Lamichhane and Dhamala, 2015; Rijpma et al., 2022). It has been demonstrated that, compared with individuals in states of reduced attention (Brandeis and Lehmann, 1989), sleep (Brodbeck et al., 2012), hypnosis (Katayama et al., 2007), and with mental disorders (Giordano et al., 2018), normal individuals with higher sensitivity to environmental information have diminished microstate C (reduced contribution), reflecting a stronger connection to contextual information (Rieger et al., 2016). Therefore, the contribution of the microstate C during the post-acupuncture state decreases, which may reflect the closer connection of the individual and the background visual information, thereby improving the visual information processing capabilities. In addition, the transition probability between microstate A (auditory network) and microstate C was decreased during the post-acupuncture state, reflecting the reduction of salience network response to the auditory network. In this situation, the brain can focus more on visual information through the salience network, thereby promoting the extraction of relevant visual information. Therefore, the improvement of CS by acupuncture at the Taiyang acupoint may be achieved by increasing the efficiency of visual information extraction by salience network (Quentin et al., 2016).
This study found that, although the CS of all spatial frequencies after acupuncture increased, only CS at high spatial frequencies was negatively correlated with the contribution of microstate C. Compared with low space frequency (peripheral visual sensitivity), high space frequency (central fovea sensitivity) stimulation is more closely linked to high-level cognitive brain areas, such as the Fronto-Parietal network (Musel et al., 2013; Zhaoping, 2019; Sims et al., 2021). This showed that the contrast sensitivity of high spatial frequencies was negatively correlated with the contribution of microstate C, while the contrast sensitivity of low spatial frequencies showed a similar trend with these two parameters, but the correlation was not significant.
5 Limitations and future works
There were several potential limitations in this study. First, the sample size of this study was relatively small, and a large-scale study should be carried out to explore whether the brain mechanism of acupuncture to improve myopia CS is specific. Second, this study was conducted on myopic patients only. Future studies could incorporate emmetropia and compare the differences in brain dynamics between emmetropia and myopia after acupuncture, as well as the degree of improvement in CS between the two groups. In addition, this study only observed the CS of 20 min after acupuncture, and did not observe the degree of improvement for a longer period of time. In the future, a longitudinal follow-up study needs to be conducted to observe the length of time that CS improvement can be maintained by acupuncture.
6 Conclusion
In conclusion, the CS of both eyes was improved after acupuncture (20 min) at the Taiyang acupoint in myopic patients. At the same time, the contribution of microstate C decreased, which is negatively related to CS. This suggests that the contrast sensitivity of myopia was improved after acupuncture at the Taiyang acupoint, which may be related to the microstate C.
Data availability statement
The research project has not yet been finalized and the data need to be further analysed.
Ethics statement
The study protocol was reviewed and approved by the Ethics Committee of the Clinical Experimental Institution of the Eye Hospital Affiliated with Shandong University of Traditional Chinese Medicine (HEC-KS-2022019KY). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
HB and JW conceptualized this study. HB supervised the study. KS, ZW, JM, and CZ collected data for this study. KS performed the statistical analyses. KS and LW drafted the manuscript. HB and JW were primarily responsible for the final content. All authors contributed to the article and approved the submitted version.
Funding
This work was supported by the National Natural Science Foundation of China (no. 82074498), Shandong Medical and Health Science and Technology Development Plan Project (no. 202207020978), and Shandong Traditional Chinese Medicine Science and Technology Project (M-2023004).
Acknowledgments
The authors would like to thank all the participants and the staff of the Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine who made the experiment possible.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
Baird, P. N., Saw, S. M., Lanca, C., Guggenheim, J. A., Smith III, E. L., Zhou, X., et al. (2020). Myopia. Nat Rev Dis Prim 6:99. doi: 10.1038/s41572-020-00231-4
CrossRef Full Text | Google Scholar
Bello, U. M., Wang, J., Park, A. S. Y., Tan, K. W. S., Cheung, B. W. S., Thompson, B., et al. (2023). Can visual cortex non-invasive brain stimulation improve normal visual function? A systematic review and meta-analysis [J]. Front. Neurosci. 17:1119200. doi: 10.3389/fnins.2023.1119200
PubMed Abstract | CrossRef Full Text | Google Scholar
Bittner, A. K., Gould, J. M., Rosenfarb, A., Rozanski, C., and Dagnelie, G. (2014). A pilot study of an acupuncture protocol to improve visual function in retinitis pigmentosa patients. Clin. Exp. Optom. 97, 240–247. doi: 10.1111/cxo.12117
PubMed Abstract | CrossRef Full Text | Google Scholar
Blechschmidt, T. T., Krumsiek, M., and Todorova, M. G. (2017). The effect of acupuncture on visual function in patients with congenital and acquired nystagmus. Medicines (Basel) 4, 1–11. doi: 10.3390/medicines4020033
PubMed Abstract | CrossRef Full Text | Google Scholar
Brandeis, D., and Lehmann, D. (1989). Segments of event-related potential map series reveal landscape changes with visual attention and subjective contours. Electroencephalogr. Clin. Neurophysiol. 73, 507–519. doi: 10.1016/0013-4694(89)90260-5
PubMed Abstract | CrossRef Full Text | Google Scholar
Britz, J., Van De Ville, D., and Michel, C. M. (2010). BOLD correlates of EEG topography reveal rapid resting-state network dynamics. NeuroImage 52, 1162–1170. doi: 10.1016/j.neuroimage.2010.02.052
PubMed Abstract | CrossRef Full Text | Google Scholar
Brodbeck, V., Kuhn, A., von Wegner, F., Morzelewski, A., Tagliazucchi, E., Borisov, S., et al. (2012). EEG microstates of wakefulness and NREM sleep. NeuroImage 62, 2129–2139. doi: 10.1016/j.neuroimage.2012.05.060
PubMed Abstract | CrossRef Full Text | Google Scholar
Chen, T., Cai, W., Ryali, S., Supekar, K., and Menon, V. (2016). Distinct global brain dynamics and spatiotemporal Organization of the Salience Network. PLoS Biol. 14:e1002469. doi: 10.1371/journal.pbio.1002469
PubMed Abstract | CrossRef Full Text | Google Scholar
Chen, S. J., Meng, L., Yan, H., Bai, L. J., Wang, F., Huang, Y., et al. (2012). Functional organization of complex brain networks modulated by acupuncture at different acupoints belonging to the same anatomic segment. Chin. Med. J. 125, 2694–2700.
PubMed Abstract | Google Scholar
Chu, C., Wang, X., Cai, L., Zhang, L., Wang, J., Liu, C., et al. (2020). Spatiotemporal EEG microstate analysis in drug-free patients with Parkinson’s disease. Neuroimage Clin 25:102132. doi: 10.1016/j.nicl.2019.102132
PubMed Abstract | CrossRef Full Text | Google Scholar
Croce, P., Quercia, A., Costa, S., and Zappasodi, F. (2020). EEG microstates associated with intra- and inter-subject alpha variability. Sci. Rep. 10:2469. doi: 10.1038/s41598-020-58787-w
PubMed Abstract | CrossRef Full Text | Google Scholar
Cui, R., Jiang, J., Zeng, L., Jiang, L., Xia, Z., Dong, L., et al. (2021). Action video gaming experience related to altered resting-state EEG temporal and spatial complexity. Front. Hum. Neurosci. 15:640329. doi: 10.3389/fnhum.2021.640329
PubMed Abstract | CrossRef Full Text | Google Scholar
D’Croz-Baron, D. F., Baker, M., Michel, C. M., and Karp, T. (2019). EEG microstates analysis in young adults with autism Spectrum disorder during resting-state. Front. Hum. Neurosci. 13:173. doi: 10.3389/fnhum.2019.00173
PubMed Abstract | CrossRef Full Text | Google Scholar
Dhond, R. P., Yeh, C., Park, K., Kettner, N., and Napadow, V. (2008). Acupuncture modulates resting state connectivity in default and sensorimotor brain networks. Pain 136, 407–418. doi: 10.1016/j.pain.2008.01.011
PubMed Abstract | CrossRef Full Text | Google Scholar
Ding, J., Hu, X., Xu, F., Yu, H., Ye, Z., Zhang, S., et al. (2021). Suppression of top-down influence decreases neuronal excitability and contrast sensitivity in the V1 cortex of cat. Sci. Rep. 11:16034. doi: 10.1038/s41598-021-95407-7
PubMed Abstract | CrossRef Full Text | Google Scholar
Dong, L. K. Y., Li, Y., Wei, W. B., and Jonas, J. B. (2020). Prevalence and trends of myopia in children and adolescents in China: a systemic review and Meta-analysis. Retina 40, 399–411. doi: 10.1097/IAE.0000000000002590
PubMed Abstract | CrossRef Full Text | Google Scholar
Gao, F., Jia, H., and Feng, Y. (2018). Microstate and omega complexity analyses of the resting-state electroencephalography. J. Vis. Exp. :56452. doi: 10.3791/56452
CrossRef Full Text | Google Scholar
Giordano, G. M., Koenig, T., Mucci, A., Vignapiano, A., Amodio, A., di Lorenzo, G., et al. (2018). Neurophysiological correlates of avolition-apathy in schizophrenia: a resting-EEG microstates study. Neuroimage Clin 20, 627–636. doi: 10.1016/j.nicl.2018.08.031
PubMed Abstract | CrossRef Full Text | Google Scholar
Gschwind, M., Hardmeier, M., van de Ville, D., Tomescu, M. I., Penner, I. K., Naegelin, Y., et al. (2016). Fluctuations of spontaneous EEG topographies predict disease state in relapsing-remitting multiple sclerosis. Neuroimage Clin 12, 466–477. doi: 10.1016/j.nicl.2016.08.008
PubMed Abstract | CrossRef Full Text | Google Scholar
Hu, N., Long, Q., Li, Q., Hu, X., Li, Y., Zhang, S., et al. (2021). The modulation of salience and central executive networks by acute stress in healthy males: an EEG microstates study. Int. J. Psychophysiol. 169, 63–70. doi: 10.1016/j.ijpsycho.2021.09.001
PubMed Abstract | CrossRef Full Text | Google Scholar
Hua, T., Bao, P., Huang, C. B., Wang, Z., Xu, J., Zhou, Y., et al. (2010). Perceptual learning improves contrast sensitivity of V1 neurons in cats. Curr. Biol. 20, 887–894. doi: 10.1016/j.cub.2010.03.066
PubMed Abstract | CrossRef Full Text | Google Scholar
Huang, H., Yue, X., Huang, X., Long, W., Kang, S., Rao, Y., et al. (2022). Brain activities responding to acupuncture at ST36 (zusanli) in healthy subjects: a systematic review and Meta-analysis of task-based fMRI studies. Front. Neurol. 13:930753. doi: 10.3389/fneur.2022.930753
PubMed Abstract | CrossRef Full Text | Google Scholar
Jia, K., Frangou, P., Karlaftis, V. M., Ziminski, J. J., Giorgio, J., Rideaux, R., et al. (2022). Neurochemical and functional interactions for improved perceptual decisions through training. J. Neurophysiol. 127, 900–912. doi: 10.1152/jn.00308.2021
PubMed Abstract | CrossRef Full Text | Google Scholar
Katayama, H., Gianotti, L. R., Isotani, T., Faber, P. L., Sasada, K., Kinoshita, T., et al. (2007). Classes of multichannel EEG microstates in light and deep hypnotic conditions. Brain Topogr. 20, 7–14. doi: 10.1007/s10548-007-0024-3
PubMed Abstract | CrossRef Full Text | Google Scholar
Khanna, A., Pascual-Leone, A., Michel, C. M., and Farzan, F. (2015). Microstates in resting-state EEG: current status and future directions. Neurosci. Biobehav. Rev. 49, 105–113. doi: 10.1016/j.neubiorev.2014.12.010
PubMed Abstract | CrossRef Full Text | Google Scholar
Koenig, T., Lehmann, D., Merlo, M. C., Kochi, K., Hell, D., and Koukkou, M. (1999). A deviant EEG brain microstate in acute, neuroleptic-naive schizophrenics at rest. Eur. Arch. Psychiatry Clin. Neurosci. 249, 205–211. doi: 10.1007/s004060050088
PubMed Abstract | CrossRef Full Text | Google Scholar
Koenig, T., Prichep, L., Lehmann, D., Sosa, P. V., Braeker, E., Kleinlogel, H., et al. (2002). Millisecond by millisecond, year by year: normative EEG microstates and developmental stages. NeuroImage 16, 41–48. doi: 10.1006/nimg.2002.1070
PubMed Abstract | CrossRef Full Text | Google Scholar
Lam, D. S., Zhao, J., Chen, L. J., Wang, Y., Zheng, C., Lin, Q., et al. (2011). Adjunctive effect of acupuncture to refractive correction on anisometropic amblyopia: one-year results of a randomized crossover trial. Ophthalmology 118, 1501–1511. doi: 10.1016/j.ophtha.2011.01.017
PubMed Abstract | CrossRef Full Text | Google Scholar
Lamichhane, B., and Dhamala, M. (2015). The salience network and its functional architecture in a perceptual decision: an effective connectivity study. Brain Connect. 5, 362–370. doi: 10.1089/brain.2014.0282
PubMed Abstract | CrossRef Full Text | Google Scholar
Li, Y., Chen, G., Lv, J., Hou, L., Dong, Z., Wang, R., et al. (2022). Abnormalities in resting-state EEG microstates are a vulnerability marker of migraine. J. Headache Pain 23:45. doi: 10.1186/s10194-022-01414-y
PubMed Abstract | CrossRef Full Text | Google Scholar
Marstaller, L., Fynes-Clinton, S., Burianová, H., and Reutens, D. C. (2021). Salience and default-mode network connectivity during threat and safety processing in older adults. Hum. Brain Mapp. 42, 14–23. doi: 10.1002/hbm.25199
PubMed Abstract | CrossRef Full Text | Google Scholar
Michel, C. M., and Koenig, T. (2018). EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review. NeuroImage 180, 577–593. doi: 10.1016/j.neuroimage.2017.11.062
PubMed Abstract | CrossRef Full Text | Google Scholar
Musel, B., Bordier, C., Dojat, M., Pichat, C., Chokron, S., le Bas, J. F., et al. (2013). Retinotopic and lateralized processing of spatial frequencies in human visual cortex during scene categorization. J. Cogn. Neurosci. 25, 1315–1331. doi: 10.1162/jocn_a_00397
PubMed Abstract | CrossRef Full Text | Google Scholar
Musso, F., Brinkmeyer, J., Mobascher, A., Warbrick, T., and Winterer, G. (2010). Spontaneous brain activity and EEG microstates. A novel EEG/fMRI analysis approach to explore resting-state networks. NeuroImage 52, 1149–1161. doi: 10.1016/j.neuroimage.2010.01.093
PubMed Abstract | CrossRef Full Text | Google Scholar
Ning, Y., Zheng, S., Feng, S., Yao, H., Feng, Z., Liu, X., et al. (2022). The altered intrinsic functional connectivity after acupuncture at Shenmen (HT7) in acute sleep deprivation. Front. Neurol. 13:947379. doi: 10.3389/fneur.2022.947379
PubMed Abstract | CrossRef Full Text | Google Scholar
Onal, S., Yenice, O., Cakir, S., and Temel, A. (2008). FACT contrast sensitivity as a diagnostic tool in glaucoma: FACT contrast sensitivity in glaucoma. Int. Ophthalmol. 28, 407–412. doi: 10.1007/s10792-007-9169-z
PubMed Abstract | CrossRef Full Text | Google Scholar
Park, S. U., Shin, A. S., Jahng, G. H., Moon, S. K., and Park, J. M. (2009). Effects of scalp acupuncture versus upper and lower limb acupuncture on signal activation of blood oxygen level dependent (BOLD) fMRI of the brain and somatosensory cortex. J. Altern. Complement. Med. 15, 1193–1200. doi: 10.1089/acm.2008.0602
PubMed Abstract | CrossRef Full Text | Google Scholar
Qin, Y., Yuan, W., Deng, H., Xiang, Z., Yang, C., Kou, X., et al. (2015). Clinical efficacy observation of acupuncture treatment for Nonarteritic anterior ischemic optic neuropathy. Evid. Based Complement. Alternat. Med. 2015:713218. doi: 10.1155/2015/713218
CrossRef Full Text | Google Scholar
Qiu, S., Wang, S., Peng, W., Yi, W., Zhang, C., Zhang, J., et al. (2022). Continuous theta-burst stimulation modulates resting-state EEG microstates in healthy subjects. Cogn. Neurodyn. 16, 621–631. doi: 10.1007/s11571-021-09726-6
PubMed Abstract | CrossRef Full Text | Google Scholar
Quentin, R., Elkin Frankston, S., Vernet, M., Toba, M. N., Bartolomeo, P., Chanes, L., et al. (2016). Visual contrast sensitivity improvement by right frontal high-Beta activity is mediated by contrast gain mechanisms and influenced by fronto-parietal white matter microstructure. Cereb. Cortex 26, 2381–2390. doi: 10.1093/cercor/bhv060
PubMed Abstract | CrossRef Full Text | Google Scholar
Ricci, L., Croce, P., Pulitano, P., Boscarino, M., Zappasodi, F., Narducci, F., et al. (2022). Levetiracetam modulates EEG microstates in temporal lobe epilepsy. Brain Topogr. 35, 680–691. doi: 10.1007/s10548-022-00911-2
PubMed Abstract | CrossRef Full Text | Google Scholar
Rijpma, M. G., Yang, W. F. Z., Toller, G., Battistella, G., Sokolov, A. A., Sturm, V. E., et al. (2022). Influence of periaqueductal gray on other salience network nodes predicts social sensitivity. Hum. Brain Mapp. 43, 1694–1709. doi: 10.1002/hbm.25751
PubMed Abstract | CrossRef Full Text | Google Scholar
Roark, M. W., and Stringham, J. M. (2019). Visual performance in the “real world”: contrast sensitivity, visual acuity, and effects of macular carotenoids. Mol. Nutr. Food Res. 63:e1801053. doi: 10.1002/mnfr.201801053
PubMed Abstract | CrossRef Full Text | Google Scholar
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., et al. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. J. Neurosci. 27, 2349–2356. doi: 10.1523/JNEUROSCI.5587-06.2007
PubMed Abstract | CrossRef Full Text | Google Scholar
Si, X., Han, S., Zhang, K., Zhang, L., Sun, Y., Yu, J., et al. (2021). The temporal dynamics of EEG microstate reveals the neuromodulation effect of acupuncture with Deqi. Front. Neurosci. 15:715512. doi: 10.3389/fnins.2021.715512
PubMed Abstract | CrossRef Full Text | Google Scholar
Sims, S. A., Demirayak, P., Cedotal, S., and Visscher, K. M. (2021). Frontal cortical regions associated with attention connect more strongly to central than peripheral V1. Neuroimage 238: 118246. doi: 10.1016/j.neuroimage.2021.118246
PubMed Abstract | CrossRef Full Text | Google Scholar
Spiegel, D. P., Byblow, W. D., Hess, R. F., and Thompson, B. (2013). Anodal transcranial direct current stimulation transiently improves contrast sensitivity and normalizes visual cortex activation in individuals with amblyopia. Neurorehabil. Neural Repair 27, 760–769. doi: 10.1177/1545968313491006
PubMed Abstract | CrossRef Full Text | Google Scholar
Wu, D., Zhou, Y., Lv, H., Liu, N., and Zhang, P. (2021). The initial visual performance modulates the effects of anodal transcranial direct current stimulation over the primary visual cortex on the contrast sensitivity function. Neuropsychologia 156:107854. doi: 10.1016/j.neuropsychologia.2021.107854
PubMed Abstract | CrossRef Full Text | Google Scholar
Xiong, X., Ren, Y., Gao, S., Luo, J., Liao, J., Wang, C., et al. (2021). EEG microstate in obstructive sleep apnea patients. Sci. Rep. 11:17178. doi: 10.1038/s41598-021-95749-2
PubMed Abstract | CrossRef Full Text | Google Scholar
Yachan, L., Ou, Z., Wenna, L., and Candong, L. (2015). Effect of auricular pressing treatment on myopia in children. J. Tradit. Chin. Med. 35, 281–284. doi: 10.1016/s0254-6272(15)30098-4
PubMed Abstract | CrossRef Full Text | Google Scholar
Yang, X., Xu, L., Zhong, F., and Zhu, Y. (2012). Data mining-based detection of acupuncture treatment on juvenile myopia. J. Tradit. Chin. Med. 32, 372–376. doi: 10.1016/S0254-6272(13)60040-0
PubMed Abstract | CrossRef Full Text | Google Scholar
Yuan, H., Zotev, V., Phillips, R., Drevets, W. C., and Bodurka, J. (2012). Spatiotemporal dynamics of the brain at rest–exploring EEG microstates as electrophysiological signatures of BOLD resting state networks. NeuroImage 60, 2062–2072. doi: 10.1016/j.neuroimage.2012.02.031
PubMed Abstract | CrossRef Full Text | Google Scholar
Zhang, H., Liu, Q., Yao, M., Zhang, Z., Chen, X., Luo, H., et al. (2023). Neural oscillations during acupuncture imagery partially parallel that of real needling. Front. Neurosci. 17:1123466. doi: 10.3389/fnins.2023.1123466
PubMed Abstract | CrossRef Full Text | Google Scholar
Zhao, Y. N., He, J. K., Wang, Y., Li, S. Y., Jia, B. H., Zhang, S., et al. (2022). The pro-inflammatory factors contribute to the EEG microstate abnormalities in patients with major depressive disorder. Brain Behav Immun Health 26:100523. doi: 10.1016/j.bbih.2022.100523
PubMed Abstract | CrossRef Full Text | Google Scholar
Zhao, S., Ng, S. C., Khoo, S., and Chi, A. (2022). Temporal and spatial dynamics of EEG features in female college students with subclinical depression. Int. J. Environ. Res. Public Health 19, 1–17. doi: 10.3390/ijerph19031778
PubMed Abstract | CrossRef Full Text | Google Scholar
Zhuang, Z., Cui, Y., Cai, G., Liu, K., Wang, H., Jia, K., et al. (2022). Clinical efficacy of auricular acupressure plus eye exercises in the treatment of adolescent Pseudomyopia. Evid. Based Complement. Alternat. Med. 2022, 1–5. doi: 10.1155/2022/9208478
PubMed Abstract | CrossRef Full Text | Google Scholar
Zhuang, X., Tran, T., Jin, D., Philip, R., and Wu, C. (2021). Aging effects on contrast sensitivity in visual pathways: a pilot study on flicker adaptation. PLoS One 16:e0261927. doi: 10.1371/journal.pone.0261927
PubMed Abstract | CrossRef Full Text | Google Scholar
Zhuang, Y., Xing, J. J., Li, J., Zeng, B., and Liang, F. (2013). History of acupuncture research. Int. Rev. Neurobiol. 111, 1–23. doi: 10.1016/B978-0-12-411545-3.00001-8
CrossRef Full Text | Google Scholar
Zorena, K., Gładysiak, A., and Ślęzak, D. (2018). Early intervention and nonpharmacological therapy of myopia in young adults. J. Ophthalmol. 2018:4680603. doi: 10.1155/2018/4680603
PubMed Abstract | CrossRef Full Text | Google Scholar
