Skip to main content

ORIGINAL RESEARCH article

Front. Hum. Neurosci., 08 June 2021
Sec. Brain Imaging and Stimulation
Volume 15 - 2021 | https://doi.org/10.3389/fnhum.2021.648816

Improved Pre-attentive Processing With Occipital rTMS Treatment in Major Depressive Disorder Patients Revealed by MMN

Muzhen Guan1,2† Xufeng Liu3† Li Guo1† Ruiguo Zhang4 Qingrong Tan1* Huaihai Wang5* Huaning Wang1*
  • 1Department of Psychiatry, Xijing Hospital, Air Force Medical University, Xi’an, China
  • 2Department of Mental Health, Xi’an Medical University, Xi’an, China
  • 3School of Military Medical Psychology, Air Force Medical University, Xi’an, China
  • 4Department of Psychiatry, Xi’an No. 3 Hospital, the Affiliated Hospital of Northwest University, Xi’an, China
  • 5Department of Psychiatry, Xi’an Union Hospital, Xi’an, China

Objectives: To investigate the improvement effect of occipital repetitive transcranial magnetic stimulation (rTMS) combined with escitalopram oxalate tablets on pre-attentive processing in patients with first-episode, medication-naive depression.

Methods: Patients who were hospitalized between January and December 2019 were selected. They were randomly allocated to real occipital rTMS stimulation group with 27 cases receiving intermittent theta-burst (iTBS) and sham stimulation group with 24 cases over 20 days. The rTMS treatment target is located at the Oz point of the occipital region. Both groups took escitalopram oxalate tablets, and the average daily drug dose was 15.294 ± 5.041 mg. Hamilton Depression Rating Scale (HAMD) was used to assess the symptoms of depression before and after treatment, and mismatch negativity (MMN) was used to assess the improvement of pre-attentive processing before and after treatment.

Results: After 20 days of treatment, the total score of HAMD (13.495 ± 3.700) in both groups was significantly lower than that before treatment [21.910 ± 3.841, F(1, 49) = 46, 3.690, p < 0.001]. After treatment, the latency of MMN in the real stimulation group (182.204 ± 31.878 ms) was significantly lower than that in the sham stimulation group (219.896 ± 42.634 ms, p < 0.001), and the amplitude of MMN in the real stimulation group (−7.107 ± 3.374 ms) was significantly higher than that in the sham stimulation group (−2.773 ± 3.7 32 ms, p < 0.001).

Conclusion: Occipital rTMS treatment can enhance the early therapeutic effect and effectively improve the pre-attentive processing of patients with depression and provide a scientific basis for the new target of rTMS therapy in clinical patients with depression.

Highlights

• Impairment of pre-attentive processing in major depressive disorder (MDD) is closely related to the abnormalities of the occipital lobe.

• Mismatch negativity (MMN) is an effective indicator for studying pre-attentive processing.

• Occipital repetitive transcranial magnetic stimulation (rTMS) can effectively improve pre-attentive processing in MDD.

Introduction

Depression is a common mental illness characterized by persistent depressed mood and loss of interest (Suslow et al., 2020). Cognitive dysfunction is a common symptom of major depressive disorder (MDD), and it persists in the remission period. Cognitive dysfunction is a key factor in patients’ functional recovery (LeMoult and Gotlib, 2019). In recent years, more and more scholars have proposed “cognitive recovery” as a new target and new goal for the treatment of MDD (Bortolato et al., 2016). At present, neuroelectrophysiological and neuroimaging studies have found that the impairment of cognitive function in patients with depression is closely related to the structural and functional abnormalities of the occipital lobe (Shen et al., 2016; Zhang B. et al., 2016).

Recent research evidence shows that occipital cortex folding in patients with depression is abnormally increased, and it is highly positively correlated with the course and the severity of the disease, suggesting that occipital dysplasia may be a predictor of the course of depression (Schmitgen et al., 2019). In addition, functional magnetic resonance imaging (fMRI) and PET studies have found reduced occipital blood perfusion in patients with depression (Oda et al., 2003; Brockmann et al., 2009; Nagafusa et al., 2012; Qiu et al., 2014) and thickening of the occipital cortex (Ge et al., 2019) and high gray matter volume (Rubin-Falcone et al., 2018) in patients with first-episode, medication-naive depression. Voxel-based morphometric analysis has shown reduced occipital cortex volumes (Peng et al., 2016; Zhang H. et al., 2016). The structural alteration of the occipital lobe in patients with depression is also associated with occipital bending, which is an abnormality of neurodevelopment or anatomy (Maller et al., 2014). Fullard et al. (2019) proposed that occipital bending can be used as a structural biomarker for depression susceptibility and treatment effectiveness.

Occipital lobe function in patients with depression is also abnormal, and it is strongly associated with cognitive dysfunction. Task-related fMRI has shown that the reduction of occipital lobe activity in MDD patients has an impact on visual cognitive function, and the occipital lobe may be the initiating factor of cognitive function impairment (Li et al., 2018). Resting-state fMRI showed that the amplitude of low-frequency fluctuation (ALFF) in the left middle occipital gyrus was increased in MDD patients compared with healthy subjects, indicating that patients have hyperactivity in this brain region (Yu et al., 2017; Cheng et al., 2019), and it is positively correlated with the clinical symptoms of depression patients (Koshiyama et al., 2018; Taib et al., 2018). The results of resting-state functional connectivity showed that the intrinsic gray matter connectivity between the right lateral occipital cortex and the left temporal lobe and the right inferior lingual gyrus was attenuated in first-episode, medication-naive depression patients compared with healthy subjects (Zhang et al., 2019; Li et al., 2020).

Attention function runs through the entire cognitive process, including three contents: early pre-attentive processing, late alerting attention, and active attention (Koshiyama et al., 2018). Pre-attentive processing is a cognitive process that occurs before attention and is not dependent on consciousness, which reflects the unconscious and automatic processing of stimuli by the brain (Tivadar and Murray, 2019). Mismatch negativity (MMN) is an effective indicator for studying pre-attentive processing (Garrido et al., 2009). The research on pre-attentive processing in patients with depression is in its infancy. Studies have found that patients with depression have decreased MMN amplitude, impaired auditory and visual pre-attentive information processing, and decreased ability to detect changes in external information (He et al., 2010; Naismith et al., 2012; Qiao et al., 2013; Mu et al., 2016), which are closely related to clinical symptoms. Recent studies have found that memory comparison-based visual MMN for exploring external stimuli comes from the middle occipital gyrus (Maller et al., 2012; Kecskes-Kovdes et al., 2013). Li et al. (2020) found that the latency of MMN was prolonged and its amplitude was significantly reduced in patients with depression compared with healthy controls, indicating that patients with depression had a slowed speed of recognition of novel stimuli. Decreased MMN amplitude has become an important clinical indication for depression and other mental diseases (Näätänen et al., 2015).

The structural and functional damage of the occipital lobe in patients with depression is closely associated with cognitive impairment, especially with pre-attentive processing. As a region beyond the prefrontal cortex and its different subregions (Downar et al., 2014; Bakker et al., 2015; Fettes et al., 2018; Schulze et al., 2018), the occipital lobe may be a potential candidate target for the repetitive transcranial magnetic stimulation (rTMS) treatment of MDD. Zhang et al. (2020) demonstrated that left occipital rTMS provides effective and well-tolerated treatment, and fMRI measures functional change of the left occipital as a biomarker of therapeutic effect in MDD. Together, these results suggest that the occipital lobe may represent a highly promising target region for effective rTMS treatment in MDD (Zhang et al., 2020).

The improvement effect of drugs on the cognitive function of patients with depression is limited (Hartwigsen, 2016). Escitalopram oxalate tablets are widely used in clinical practice as a first-line antidepressant, but such drugs generally take effect in 2–4 weeks and cannot quickly control depression symptoms. As a noninvasive and safe neurophysiological technology, rTMS not only shows good prospects in regulating cognitive networks, promoting network remodeling, and improving cognitive dysfunction but also can accelerate or enhance the efficacy of antidepressant drugs (Cheng et al., 2018). It has been regarded as a treatment with great potential in the field of cognitive neuroscience that can promote cognitive function rehabilitation. Studies have found that stimulation of cortical areas in patients with depression using TMS can improve cognitive function, and this change may have a repair effect on the brain under pathological conditions (Verdon et al., 2004), which can well improve the cognitive function in depression, while there is no direct clinical evidence for the improvement of pre-attentive processing.

At present, there are few studies on pre-attentive processing in patients with depression, and there are even fewer studies on the improvement of pre-attentive processing by rTMS. Therefore, in this study, occipital lobe was used as a target for rTMS to investigate the improvement of pre-attentive processing in patients with depression before and after the treatment with occipital rTMS combined with escitalopram oxalate tablets, so as to provide clinical evidence for the new target of rTMS treatment for patients with depression.

Subjects and Methods

Participants

The enrolled patients were 51 first-episode, medication-naive patients with depression, who were hospitalized in the Department of Psychosomatics of the First Affiliated Hospital of Air Force Medical University between January and December 2019.

Inclusion criteria: (1) Meet the diagnostic criteria of MDD in the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (DSM-V); (2) The 17-item score of Hamilton Depression Rating Scale (HAMD-17) is ≥ 18 points; (3) Meet the inclusion criteria and give informed consent. Exclusion criteria: (1) Have severe physical diseases; (2) Have a history of brain trauma or brain surgery; (3) The patient has a history of alcohol or substance abuse; (4) Have a history of other mental or neurological diseases. All subjects read and understood the experimental procedures and precautions before the experiment and signed an informed consent form. This study has been reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Air Force Medical University (Approval document No.: KY20182047-F-1) and has been registered in the Chinese Clinical Trial Registry (Registration No.: ChiCTR1800019761).

Method

Study Materials

In this study, the HAMD-17 (Lee et al., 2012) was used to assess the severity of depressive symptoms of the two groups of patients before and after rTMS treatment. The higher the score, the more severe the depression of the patients.

Treatment With rTMS

The repetitive transcranial magnetic stimulator used in this study is a magnetic field stimulator from YIRYIDE Medical (MagPro R30, Dantec Medtronic, Denmark, CCY-IA), and the stimulation coil is a 100-mm figure-of-eight-shaped coil. The resting motor threshold (RMT) is the minimum stimulation intensity that can elicit at least five motor evoked potential with an amplitude > 50 μV with 10 consecutive stimuli to the patient (Bashir et al., 2019). Intermittent theta-burst (iTBS) was delivered the intensity (120% RMT), differing only in stimulation pattern and total number of pulses (triplet 50-Hz bursts, repeated at 5 Hz; 2 s on and 8 s off; 600 pulses per session; total duration of 3 min 9 s). Initial treatment comprised 20 sessions in total (Blumberger et al., 2018). According to the international 10–20 system, the rTMS treatment target is located at the Oz point of the occipital region, and the stimulation coil is tangential to the scalp. The treatment location, intensity, frequency, and number of treatment of the sham stimulation group were the same as those of the real stimulation group, but the rTMS coil was perpendicular to the occipital region, and the head skin had the same “tapping” sensation, but the magnetic field did not enter the skull and had no stimulation effect. The rTMS treatment was performed twice a day for 20 consecutive days.

Mismatch Negativity Experimental Paradigm

The classical auditory Oddball test paradigm was used, the standard stimulus pure tone was set to 500 Hz and 80 dB, and the deviant stimulus was set to 2,000 Hz and 85 dB. The duration of the standard stimulus in each sequence was 50 ms, the duration of the deviant stimulus was 50 ms, and the ratio of standard stimulus to deviant stimulus was 8:2. The earphones were Hifiman RE-600, and the interstimulus interval (ISI) was 500 ms. The first 30 stimuli were standard stimuli, after which there were at least two standard stimuli before each deviant stimulus. The first 10 stimuli of the formal experiment were not processed.

Research Procedures

In this study, the antidepressant taken by the patients with depression was escitalopram oxalate tablets (brand: Lexapro), Xi’an Janssen Pharmaceutical Co., Ltd., National Medicine Standard J20150119, specification: 10 mg × 7 tablets. The drug was administered orally once daily. The usual dose was 10 mg per day, the maximum daily dose could be increased to 20 mg, and the average daily dose was 15.294 ± 5.041 mg. Patients in both groups used HAMD to assess the severity of depressive symptoms before and after the treatment with escitalopram oxalate combined with occipital rTMS and completed the MMN paradigm.

In the current study, we conducted a single-blind, randomized, sham-controlled study to test the acute efficacy and safety of the event-related potential (ERP)-based occipital rTMS in patients with MDD. The randomization program was created using a computer and executed by an investigator who is not involved in the treatment and recruitment of patients. The allocation of patients was screened, applying numbered in the sealed and opaque envelopes.

Electroencephalogram Recording

Electroencephalogram (EEG) was recorded using MEB-2306 electroencephalographic potentiometer manufactured by Nihon Kohden (Japan). The reference electrode was placed at the tip of the nose, and the ground electrode was placed at the forehead (Ground, FPz). At the same time, four electrode points of horizontal electrooculogram (HEOG) and vertical electrooculogram (VEOG) were used to record eye movements. The electrode impedance was less than 5 kΩ, the sampling rate was 500 Hz, and the band pass was 0.1–100 Hz.

EEG was recorded at the Fz and Cz electrode points from 100 ms before to 500 ms after stimulation according to the international 10–20 system. The baseline correction was performed at 100 ms before stimulation with a band pass of 0.1–20 Hz. Artifacts such as blinking, head movement, and electrode jitter were first eliminated by independent component analysis (ICA), and then the segments with amplitude greater than ± 75 μV were deleted. Those with an amplitude greater than ± 100 μV were considered as artifacts and were automatically eliminated during the superposition. MMN was obtained by subtracting the ERP of the standard stimulus from the deviant stimulus.

Statistical Analysis

The mean amplitudes of Fz and Cz electrode points were selected to perform repeated measures ANOVA, and the time window was 100–250 ms. Among them, stimulation type (two levels: standard stimulation and deviant stimulation), time (two levels: before and after treatment), and electrode position (two levels: Fz and Cz) were variables within the group, and groups (drug therapy combined with real rTMS stimulation group, drug therapy combined with sham rTMS stimulation group) were variables between groups. The statistical software used was SPSS 25.0. For data that did not conform to Mauchly “Spherical Symmetry” assumption of a normal distribution, the degree of freedom was corrected by the Greenhouse–Geisser method; post hoc pairwise comparisons were performed by the least significant difference (LSD) method, and the significance level was set to 0.05.

Results

Patient Demographics

They are Han Chinese and right-handed, including 21 males and 30 females, and they were 18–45 years old, with an average age of 30.118 ± 7.410 years. Their average education time was 11.863 ± 2.638 years, and their disease duration was 3.573 ± 2.857 months. There was no significant difference in demographic and clinical characteristics (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Demographic and clinical characteristics of the two groups.

Comparison of Hamilton Depression Rating Scale Total Scores Between the Two Groups Before and After Treatment

A 2 × 2 repeated measures analysis of variance was used to compare the total HAMD scores of the real stimulation group and the sham stimulation group before and after rTMS treatment. Among them, the main effect of time was significant [F(1, 49) = 463.690, p < 0.001, partial η2 = 0.904], and the total HAMD score after the treatment (13.495 ± 3.700) was significantly lower than that before the treatment (21.910 ± 3.841, p < 0.001). There was a time × group interaction, F(1, 49) = 5.986, p = 0.018, ηp2 = 0.109. Further analysis showed that the total HAMD score of the real stimulation group and the sham stimulation group after treatment was significantly lower than the total HAMD score before treatment (p < 0.001), while there was no significant difference in the total HAMD score between the real stimulation group and the sham stimulation group after treatment (p > 0.05) (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Comparison of HAMD total scores before and after treatment between the two groups (x¯ ± s).

Event-Related Potential Results

A 2 × 2 × 2 × 2 repeated measures analysis of variance was used to compare the changes of MMN latency before and after treatment in the drug combined with real rTMS stimulation group and the drug combined with sham rTMS stimulation group. The main effect of time was significant, F(1,49) = 47.302, p < 0.001, ηp2 = 0.491, indicating that the latency after treatment (201.050 ± 37.256 ms) was significantly lower than that before treatment (223.006 ± 44.423 ms). There was a time × group interaction, F(1,49) = 30.907, p < 0.001, ηp2 = 0.387. Further analysis showed that before treatment, there was no significant difference in MMN latency between the real stimulation group (221.907 ± 42.899 ms) and the sham stimulation group (224.104 ± 45.946 ms) (p = 0.860); after treatment, the MMN latency of the real stimulation group (182.204 ± 31.878 ms) was significantly lower than that of the sham stimulation group (219.896 ± 42.634 ms, p < 0.001) (see Table 3 and Figure 1 for details).

TABLE 3
www.frontiersin.org

Table 3. Comparison of MMN latency between the two groups before and after treatment (x¯ ± s).

FIGURE 1
www.frontiersin.org

Figure 1. Grand averages of Fz and Cz electrode points in the real stimulation group and the sham stimulation group before and after treatment.

A 2 × 2 × 2 × 2 repeated measures analysis of variance was used to compare the changes of MMN amplitude before and after treatment in the drug combined with real rTMS stimulation group and the drug combined with sham rTMS stimulation group. The main effect of time was significant, F(1, 49) = 22.110, p < 0.001, ηp2 = 0.311, indicating that the amplitude after treatment (−4.940 ± 4.136 μV) was significantly higher than that before the treatment (−3.842 ± 3.869 μV). The main effect of group was significant, F(1, 49) = 9.579, p = 0.003, ηp2 = 0.164, indicating that the amplitude of the real stimulation group (−5.909 ± 3.391 μV) was significantly increased compared with that of the sham stimulation group (−2.874 ± 3.972 μV). There was a time × group interaction, F(1, 49) = 30.935, p < 0.001, ηp2 = 0.388. Further analysis showed that before treatment, there was no significant difference in MMN amplitude between the real stimulation group (−4.711 ± 3.408 ms) and the sham stimulation group (−2.974 ± 4.213 ms) (p = 1.101); after treatment, the MMN amplitude of the real stimulation group (−7.107 ± 3.374 ms) was significantly higher than that of the sham stimulation group (−2.773 ± 3.732 ms, p < 0.001) (see Table 4 and Figure 1 for details).

TABLE 4
www.frontiersin.org

Table 4. Comparison of MMN amplitude between the two groups before and after treatment (x¯ ± s).

Discussion

The present study investigated the effect of occipital rTMS combined with pharmacotherapy on pre-attentional processes in patients with first-episode, drug-naive depression. The early efficacy of antidepressants has always been the focus of clinicians and patients. Studies have shown that early depressive symptom improvement will predict whether clinical recovery can be achieved in the future (Otte et al., 2016) and also affect the recovery of cognitive function. In this study, both the real stimulation group and the sham stimulation group took the first-line antidepressant escitalopram oxalate tablets. At the same time, the real stimulation group used the Oz point as the target of rTMS treatment for first-episode, medication-naive depression patients.

After 20 days of treatment with escitalopram oxalate tablets combined with occipital rTMS, the main finding from the study was that the depressive symptoms of the real stimulation group and the sham stimulation group were improved early, and their total HAMD scores were significantly decreased, which is similar to the results of previous studies (He et al., 2020). However, after treatment, there was no significant difference in the total HAMD score between the real stimulation group and the sham stimulation group. Although HAMD is used to evaluate the changes of depressive symptoms in clinical practice, in the evaluation process, subjective factors may lead to errors. Furthermore, the small number of subjects might be insufficient to show significant effects in HAMD scores. However, HAMD scores can well evaluate the effect on clinical symptoms in the two groups; the alteration of cognitive function is unknown. Therefore, in this study, we introduced electrophysiological indicators to further assess the cognitive function of patients with depression to provide an objective basis for early clinical judgment of the treatment effect.

Mismatch negativity is a sensitive electrophysiological indicator that reflects the pre-attention function. It is an ERP caused by novel stimulation. The difference wave obtained by subtracting the brain wave amplitude evoked by standard stimulation from the brain wave amplitude evoked by deviant stimulation is the MMN. The information can be processed automatically by investing no resources or less resources (May and Tiitinen, 2010). MMN usually appears in a time window of 100–250 ms after stimulation. Among the scalp electrodes, the MMN amplitude recorded by the frontal electrodes is the largest (Takegata et al., 2006).

Previous studies have shown that pre-attentive processing is impaired in patients with depression. Maekawa et al. (2012) found that the auditory MMN amplitude in patients with depression was smaller than the mean amplitude of the control group, suggesting that the pre-attentive processing of basic auditory information in patients with depression is impaired. Chang et al. (2010) used facial expression information to study pre-attentive processing in patients with depression and found that the vMMN amplitude was decreased in the early stage and disappeared in the late stage in patients with depression, indicating that the visual pre-attentive processing function of patients with depression is impaired. Importantly, to enhance the scientific basis and impartiality of assessment of the treatment effect, we conducted a sham-controlled randomized double-blind therapy study, in which the groups we compared included both real and sham structural MMN-based occipital rTMS targeting. In this study, we further analyzed the amplitude and latency of MMN and found that the MMN in the real stimulation group and the sham stimulation group had a long latency and a low amplitude, which is consistent with previous studies.

The main finding from the study was that occipital rTMS rapidly improved pre-attentive processing function with better efficacy. After 20 days of occipital rTMS treatment, the latency of MMN was shortened and the amplitude was increased in the real stimulation group compared with the sham stimulation group, indicating that after the TMS treatment of the occipital lobe, the patients were able to automatically process novel stimulation more quickly and devote more resources to pre-attentive processing, and their pre-attentive processing was improved (Hadas et al., 2019). Zhang et al. (2020) selected the visual cortex (V1) region of the left occipital lobe as the stimulation target of rTMS and found that after 5 days of rTMS treatment, the clinical symptoms of patients with depression were significantly improved, and the efficacy was maintained within 2 weeks. fMRI results showed that after occipital rTMS treatment, the cortical blood perfusion of patients with depression was increased, and task-state fMRI showed that the functional connection between the occipital lobe and the pre/subgenual anterior cingulated cortex was enhanced (Zhang et al., 2020). Therefore, occipital rTMS can improve the cognitive function of patients with depression (Speer et al., 2014).

Repetitive transcranial magnetic stimulation exerts antidepressant effects by giving magnetic stimulation to specific parts of the brain and has a good clinical effect (Bakker et al., 2015). In clinical practice, the selection of rTMS stimulation targets is directly related to the therapeutic effect of rTMS and has always been a research hotspot. In this study, occipital lobe was the target of rTMS, and the MMN components of electrophysiological therapy were selected to show that continuous occipital rTMS treatment can improve the pre-attentive processing of patients with depression, thereby improving the cognitive function of patients. Furthermore, our data indicated involvement of the occipital lobe, which may thus be used as a biomarker of therapeutic effect.

Limitations and Conclusion

The present study has some limitations that should be taken into account. First, the sample size was relatively small, which might have resulted in inadequate statistical power to detect potential group differences in behavior. Although the small number of subjects might be sufficient to observe significant effects in the MMN study, a larger sample size might be necessary to clarify the group effects on behavioral performances (Yang and Ling, 2019). Moreover, the present study only compared the alterations of indicators before and after occipital rTMS combined with pharmacotherapy in treatment courses; however, it is unknown when the alterations happened. Future ERP studies provide a precise chronological delineation of alterations in the temporal dynamics underlying pre-attentive processing (Landes et al., 2018). Furthermore, we cannot investigate the neuroimaging mechanism of pre-attentive processing in MDD with occipital rTMS. However, future multimodal studies combining ERP and fMRI methods will allow to more comprehensively explore both the “when” and “where” of altered pre-attentive processing in MDD. Finally, depending on the geometry and orientation of the TMS coil, the magnetic field can still be sufficiently strong to result in effects (Duecker and Sack, 2015; Janssen et al., 2015); this could be the reason for no antidepressant effect difference between the groups.

Despite these limitations, this study is one of the first ERP studies to explore neurophysiological mechanisms of pre-attentive processing with occipital rTMS treatment in MDD. Our study investigated the effect of occipital rTMS combined with pharmacotherapy on pre-attentional processes in patients with first-episode, drug-naive depression. This study manifested that occipital rTMS treatment can effectively improve the pre-attentive processing in MDD patients. We encourage future work to explore predictive biomarkers for occipital rTMS treatment outcomes.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Air Force Medical University. The patients/participants provided their written informed consent to participate in this study.

Author Contributions

XL, MG, and QT conceived and designed the experiments. LG and RZ performed the experiments. MG and HHW analyzed the data. HNW and QT conceived the project and modified the manuscript. All authors read and approved the final manuscript.

Funding

This work was supported by the National Nature Science Foundation of China (No. 81974215 to HNW and No. 81630032 to QT).

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.

References

Bakker, N., Shahab, S., Giacobbe, P., Blumberger, D. M., Daskalakis, Z. J., Kennedy, S. H., et al. (2015). rTMS of the dorsomedial prefrontal cortex for major depression: safety, tolerability, effectiveness, and outcome predictors for 10 Hz versus intermittent theta-burst stimulation. Brain Stimul. 8, 208–215. doi: 10.1016/j.brs.2014.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Bashir, S., Ahamad, S., Alatefi, M., Hamza, A., Sharaf, M., Fecteau, S., et al. (2019). Effects of anodal transcranial direct current stimulation on motor evoked potentials variability in humans. Physiol. Rep. 7, 1–11.

Google Scholar

Blumberger, D. M., Vila-Rodriguez, F., Thorpe, E. K., Feffer, K., Noda, Y., Giacobbe, P., et al. (2018). Effectiveness of theta burst versus high-frequency repetitive transcranial magnetic stimulation in patients with depression (THREE-D): a randomised non-inferiority trial. Lancet 391, 1683–1692. doi: 10.1016/s0140-6736(18)30295-2

CrossRef Full Text | Google Scholar

Bortolato, B., Miskowiak, K., and Kohler, C. (2016). Cognitive remission:a novel objective for the treatment of major depression? BMC Med. 14:9. doi: 10.1186/s12916-016-0560-3

PubMed Abstract | CrossRef Full Text | Google Scholar

Brockmann, H., Zobel, A., Joe, A., Biermann, K., Scheef, L., Schuhmacher, A., et al. (2009). The value of HMPAO SPECT in predicting treatment response to citalopram in patients with major depression. Psychiatry Res. 173, 107–112. doi: 10.1016/j.pscychresns.2008.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Chang, Y., Xu, J., Shi, N., Zhang, B. W., and Zhao, L. (2010). Dysfunction of processing task-irrelevant emotional faces in major depressive disorder patients revealed by expression-related visual MMN. Neurosci. Lett. 472, 33–37. doi: 10.1016/j.neulet.2010.01.050

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, C., Dong, D., Jiang, Y., Ming, Q., Zhong, X., Sun, X., et al. (2019). State-related alterations of spontaneous neural activity in current and remitted depression revealed by resting-state fMRI. Front. Psychol. 10:245. doi: 10.3389/fpsyg.2019.00245

PubMed Abstract | CrossRef Full Text | Google Scholar

Cheng, P. W., Wong, S. M., Lee, K. K., Chan, P. K., Yeung, W. F., and Chan, W. C. (2018). Effects of repetitive transcranial magnetic stimulation on improvement of cognition in elderly patients with cognitive impairment: a systematic review and meta-analysis. Int. J. Geriatr. Psychiatry 33, 1–13.

Google Scholar

Downar, J., Geraci, J., Salomons, T. V., Dunlop, K., Wheeler, S., McAndrews, M. P., et al. (2014). Anhedonia and reward-circuit connectivity distinguish nonresponders from responders to dorsomedial prefrontal repetitive transcranial magnetic stimulation in major depression. Biol. Psychiatry 76, 176–185. doi: 10.1016/j.biopsych.2013.10.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Duecker, F., and Sack, A. T. (2015). Rethinking the role of sham TMS. Front. Psychol. 6:210. doi: 10.3389/fpsyg.2015.00210

PubMed Abstract | CrossRef Full Text | Google Scholar

Fettes, P. W., Moayedi, M., Dunlop, K., Mansouri, F., Vila-Rodriguez, F., Giacobbe, P., et al. (2018). Abnormal functional connectivity of frontopolar subregions in treatment-nonresponsive major depressive disorder. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 3, 337–347. doi: 10.1016/j.bpsc.2017.12.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Fullard, K., Maller, J. J., Welton, T., Lyon, M., Gordon, E., Koslow, H. S., et al. (2019). Is occipital bending a structural biomarker of risk for depression and sensitivity to treatment? J. Clin. Neurosci. 63, 55–61. doi: 10.1016/j.jocn.2019.02.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Garrido, M. I., Kilner, J. M., Stephan, K. E., and Friston, K. J. (2009). The mismatch negativity: a review of underlying mechanisms. Clin. Neurophysiol. 120, 453–463. doi: 10.1016/j.clinph.2008.11.029

PubMed Abstract | CrossRef Full Text | Google Scholar

Ge, X., Dong, D. F., Cheng, C., Jiang, Y. L., Sun, X. Q., He, J. Y., et al. (2019). State-independent and -dependent structural alterations in limbic-cortical regions in patients with current and remitted depression. J. Affect. Disorder 258, 1–10. doi: 10.1016/j.jad.2019.07.065

PubMed Abstract | CrossRef Full Text | Google Scholar

Hadas, I., Sun, Y. M., Lioumis, P., Zomorrodi, R., and Daskalakis, Z. J. (2019). Association of Repetitive transcranial magnetic stimulation treatment with subgenual cingulated hyperactivity in patients with major depressive disorder: a secondary analysisof a randomized clinical trial. JAMA Netw. Open. 26:e195578. doi: 10.1001/jamanetworkopen.2019.5578

PubMed Abstract | CrossRef Full Text | Google Scholar

Hartwigsen, G. (2016). Adaptive plasticity in the healthy language network: implications for language recovery after stroke. Neural Plast. 2016, 1–19. doi: 10.1155/2016/9674790

PubMed Abstract | CrossRef Full Text | Google Scholar

He, R. H., Fan, J. Z., Wang, H. J., Zhong, Y. H., and Ma, J. H. (2020). Differentiating responders and Non-responders to rTMS treatment for disorder of consciousness using EEG after-effects. Front. Neurol. 11:e0583268. doi: 10.3389/fneur.2020.583268

PubMed Abstract | CrossRef Full Text | Google Scholar

He, W., Chai, H., Zheng, L., Yu, W., Chen, W., Li, J., et al. (2010). Mismatch negativity in treatment-resistant depression and borderline personality disorder. Prog. Neuropsychopharmacol. Biol. Psychiatry 34, 366–371. doi: 10.1016/j.pnpbp.2009.12.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Janssen, A. M., Oostendorp, T. F., and Stegeman, D. F. (2015). The coil orientation dependency of the electric field induced by TMS for M1 and other brain areas. J. Neuroeng. Rehabil. 12, 1–13.

Google Scholar

Kecskes-Kovdes, K., Sulykos, I., and Czigler, I. (2013). Visual mismatch negativity is sensitive to symmetry as a perceptual category. Eur. J. Neurosci. 37, 662–667. doi: 10.1111/ejn.12061

PubMed Abstract | CrossRef Full Text | Google Scholar

Koshiyama, D., Kirihara, K., Tada, M., Nagai, T., FuJioka, M., Koike, S., et al. (2018). Association between mismatch negativity and global functioning is specific to duration deviance in early stages of psychosis. Schizophr. Res. 195, 378–384. doi: 10.1016/j.schres.2017.09.045

PubMed Abstract | CrossRef Full Text | Google Scholar

Landes, I., Bakos, S., Kohls, G., Bartling, J., Schulte-Körne, G., and Greimel, E. (2018). Altered neural processing of reward and punishment in adolescents with major depressive disorder. J. Affect. Disorder 232, 23–33. doi: 10.1016/j.jad.2018.01.017

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, R., Hermens, D. F., Porter, M., and Redoblado-Hodge, M. A. (2012). A meta-analysis of cognitive deficits in first-episode major depressive disorder. J. Affect. Disorder 140, 113–124. doi: 10.1016/j.jad.2011.10.023

PubMed Abstract | CrossRef Full Text | Google Scholar

LeMoult, J., and Gotlib, I. H. (2019). Depression: a cognitive perspective. Clin. Psychol. Rev. 69, 51–66.

Google Scholar

Li, J. M., Yang, Y., Zhu, Y. K., Zhou, L. Q., Han, Y. F., Yin, T., et al. (2018). Towards characterizing the regional cerebral perfusion in evaluating the severity of major depression disorder with SPECT/CT. BMC Psychiatry 18:1293. doi: 10.1186/s12888-018-1654-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, Z. P., Liang, G. H., Cai, Y. Z., and Zhang, H. (2020). Clinical study of event-related potentials in patients with depression. Hainan. Med. J. 12, 1545–1548.

Google Scholar

Maekawa, T., Hirano, S., and Onitsuka, T. (2012). Auditory and visual mismatch negativity in psychiatric disorders: a review. Curr. Psychiatry Rev. 8, 97–105. doi: 10.2174/1573400511208020097

CrossRef Full Text | Google Scholar

Maller, D., Roeber, U., Winkler, I., Trujillo-Barreto, N., Czigler, I., and Schroger, E. (2012). Impact of lower-vs. upper-hemifield presentation on automatic colour-deviance detection: a visual mismatch negativity study. Brain Res. 1472, 89–98. doi: 10.1016/j.brainres.2012.07.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Maller, J. J., Thomson, R. H., Rosenfeld, J. V., Anderson, R., Daskalakis, Z. J., and Fitzgerald, P. B. (2014). Occipital bending in depression. Brain 137, 1830–1837. doi: 10.1093/brain/awu072

PubMed Abstract | CrossRef Full Text | Google Scholar

May, P. J. C., and Tiitinen, H. (2010). Mismatch negativity (MMN), the deviance-elicited auditory deflection, explained. Psychophysiology 47, 66–122. doi: 10.1111/j.1469-8986.2009.00856.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Mu, Z., Chang, Y., Xu, J., Pang, X. M., Zhang, H. M., Liu, X. W., et al. (2016). Pre-attentive dysfunction of musical processing in major depressive disorder: a mismatch negativity study. J. Affect. Disorder 194, 50–56. doi: 10.1016/j.jad.2016.01.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Näätänen, R., Shiga, T., Asano, S., and Yabe, H. (2015). Mismatch negativity (MMN) deficiency: a break-through biomarker in predicting psychosis onset. Int. J. Psychophysiol. 95, 338–344. doi: 10.1016/j.ijpsycho.2014.12.012

PubMed Abstract | CrossRef Full Text | Google Scholar

Nagafusa, Y., Okamoto, N., Sakamoto, K., Yamashita, F., Kawaguchi, A., Higuchi, T., et al. (2012). Assessment of cerebral blood flow findings using 99mTc-ECD single-photon emission computed tomography in patients diagnosed with major depressive disorder. J. Affect. Disorder 140, 296–299. doi: 10.1016/j.jad.2012.03.026

PubMed Abstract | CrossRef Full Text | Google Scholar

Naismith, S. L., Mowwtowaki, L., Ward, P. B., Diamond, K., Paradise, M., Kaur, M., et al. (2012). Reduced temporal mismatch negativity in late-life depression: an event-related potential index of cognitive deficit and functional disability? J. Affect. Disorder 138, 71–78. doi: 10.1016/j.jad.2011.12.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Oda, K., Okubo, Y., Ishida, R., Murata, Y., Ohta, K., Matsuda, T., et al. (2003). Regional cerebral blood flow in depressed patients with white matter magnetic resonance hyperintensity. Biol. Psychiatry 53, 150–156. doi: 10.1016/s0006-3223(02)01548-2

CrossRef Full Text | Google Scholar

Otte, C., Gold, S. M., Penninx, B. W., Pariante, C. M., Etkin, A., Fava, M., et al. (2016). Major depressive disorder. Nat. Rev. Dis. Primers 2, 1869–1879.

Google Scholar

Peng, W., Chen, Z., Yin, L., Jia, Z., and Gong, Q. (2016). Essential brain structural alterations in major depressive disorder: a voxel-wise meta-analysis on first episode, medication-naïve patients. J. Affect. Disorder 199, 114–123. doi: 10.1016/j.jad.2016.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Qiao, Z. X., Yu, Y. M., Wang, L., Yang, X. X., Qiu, X. H., Zhang, C. P., et al. (2013). Impaired pre-attentive change detection in major depressive disorder patients revealed by auditory mismatch negativity. Psychiatry Res. 211, 78–84. doi: 10.1016/j.pscychresns.2012.07.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Qiu, J., Hu, S. Y., Shi, G. Q., and Wang, S. E. (2014). Changes in regional cerebral blood flow with Chaihu-Shugan-San in the treatment of major depression. Pharmacogn. Mag. 10, 503–508. doi: 10.4103/0973-1296.141775

PubMed Abstract | CrossRef Full Text | Google Scholar

Rubin-Falcone, H., Zanderigo, F., Thapa-Chhetry, B., Lan, M., Miller, M. J., Sublette, E. M., et al. (2018). Pattern recognition of magnetic resonance imaging-based gray matter volume measurements classifies bipolar disorder and major depressive disorder. J. Affect. Disorder 2, 498–505. doi: 10.1016/j.jad.2017.11.043

PubMed Abstract | CrossRef Full Text | Google Scholar

Schmitgen, M. M., Depping, M. S., Bach, C., Wolf, N. D., Kubera, K. M., Vasic, N., et al. (2019). Aberrant cortical neurodevelopment in major depressive disorder. J. Affect. Disorder 243, 340–347. doi: 10.1016/j.jad.2018.09.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Schulze, L., Feffer, K., Lozano, C., Giacobbe, P., Daskalakis, Z. J., Blumberger, D. M., et al. (2018). Number of pulses or number of sessions? An open-label study of trajectories of improvement for once- vs. twice-daily dorsomedial prefrontal rTMS in major depression. Brain Stimul. 11, 327–336. doi: 10.1016/j.brs.2017.11.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Shen, Z. L., Cheng, Y. Q., Yang, S. R., Dai, N., Ye, J., Liu, X. Y., et al. (2016). Changes of grey matter volume in first-episode drug-naive adult major depressive disorder patients with different age-onset. Neuroimage Clin. 12, 492–498. doi: 10.1016/j.nicl.2016.08.016

PubMed Abstract | CrossRef Full Text | Google Scholar

Speer, A. M., Wassermann, E. M., Benson, B. E., Herscovitch, P., and Post, R. M. (2014). Antidepressant efficacy of high and low frequency rTMS at 110% of motor threshold versus sham stimulation over left prefrontal cortex. Brain Stimul. 7, 36–41. doi: 10.1016/j.brs.2013.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Suslow, T., Hußlack, A., Kersting, A., and Bodenschatz, M. C. (2020). Attentional biases to emotional information in clinical depression: a systematic and meta-analytic review of eye tracking findings. J. Affect. Disorders 274, 632–642. doi: 10.1016/j.jad.2020.05.140

PubMed Abstract | CrossRef Full Text | Google Scholar

Taib, S., Arbus, C., Sauvaget, A., Sporer, M., Schmitt, L., and Yrondi, A. (2018). How does repetitive transcranial magnetic stimulation influence the brain in depressive disorders?: a review of neuroimaging magnetic resonance imaging studies. J. ECT 34, 79–86. doi: 10.1097/yct.0000000000000477

PubMed Abstract | CrossRef Full Text | Google Scholar

Takegata, R., Pakarinen, S., Huotilainen, M., and Näätänen, R. (2006). Measurement of extensive auditory discrimination profiles using the mismatch negativity (MMN) of the auditory event-related potential (ERP). Clin. Neurophysiol. 118, 177–185. doi: 10.1016/j.clinph.2006.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

Tivadar, R. I., and Murray, M. M. A. (2019). Primer on electroencephalography and event- related potentials for organizational neuroscience. Organ. Res. Methods 22, 69–94. doi: 10.1177/1094428118804657

CrossRef Full Text | Google Scholar

Verdon, C. M., Saba, G., and Januel, D. (2004). Transcranial magnetic stimulation in cognition and neuropsychology. Encephale 30, 363–368.

Google Scholar

Yang, T. T., and Ling, X. (2019). Executive control dysfunction in subclinical depressive undergraduates: evidence from the attention network test. J. Affect. Disorder 245, 130–139. doi: 10.1016/j.jad.2018.10.104

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, H. L., Liu, W. B., Wang, T., Huang, P. Y., Jie, L. Y., Sun, J. Z., et al. (2017). Difference in resting-state fractional amplitude of low-frequency fluctuation between bipolar depression and unipolar depression patients. Eur. Rev. Med. Pharmacol. Sci. 21, 1541–1550.

Google Scholar

Zhang, B., Li, M., Qin, W., Demenescu, L. R., Metzger, C. D., Bogerts, B., et al. (2016). Altered functional connectivity density in major depressive disorder at rest. Eur. Arch. Psych. Clin. Neurosci. 266, 239–248. doi: 10.1007/s00406-015-0614-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, H. F., Qiu, M. H., Ding, L., Mellor, D., Li, G., Shen, T., et al. (2019). Intrinsic gray-matter connectivity of the brain in major depressive disorder. J. Affect. Disorder 251, 78–85. doi: 10.1016/j.jad.2019.01.048

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, H., Li, L., Wu, M., Chen, Z., Hu, X., Chen, Y., et al. (2016). Brain gray matter alterations in first episodes of depression: a meta-analysis of whole-brain studies. Neurosci. Biobehav. Rev. 60, 43–50. doi: 10.1016/j.neubiorev.2015.10.011

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, Z. J., Zhang, H. X., Xie, C. M., Zhang, M., Shi, Y. C., Song, R. Z., et al. (2020). Task-related functional magnetic resonance imaging-based neuronavigation for the treatment of depression by individualized repetitive transcranial magnetic stimulation of the visual cortex. Sci. China 63, 1–11.

Google Scholar

Keywords: major depressive disorder, repetitive transcranial magnetic stimulation, occipital lobe, mismatch negativity, event-related potentials

Citation: Guan MZ, Liu XF, Guo L, Zhang RG, Tan QR, Wang HH and Wang HN (2021) Improved Pre-attentive Processing With Occipital rTMS Treatment in Major Depressive Disorder Patients Revealed by MMN. Front. Hum. Neurosci. 15:648816. doi: 10.3389/fnhum.2021.648816

Received: 05 January 2021; Accepted: 22 April 2021;
Published: 08 June 2021.

Edited by:

Sandra Carvalho, University of Aveiro, Portugal

Reviewed by:

Leandro Da Costa Lane Valiengo, University of São Paulo, Brazil
Manli Huang, Zhejiang University, China

Copyright © 2021 Guan, Liu, Guo, Zhang, Tan, Wang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Huaning Wang, 13609161341@163.com; Qingrong Tan, tanqingr1010@163.com; Huaihai Wang, wanghh_kk@163.com

These authors have contributed equally to this work

Download