Mengdie Hu
Michael A. Nitsche
Yanxin Lv
Hairong Han6
Fengxue Qi- 1School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, China
- 2Department of Psychology and Neurosciences, Leibniz Research Center for Working Environment and Human Factors, Dortmund, Germany
- 3University Clinic of Psychiatry and Psychotherapy, Protestant Hospital of Bethel Foundation, University Hospital OWL, Bielefeld University, Bielefeld, Germany
- 4German Center for Mental Health (DZPG), Bochum, Germany
- 5Sports, Exercise and Brain Sciences Laboratory, Sports Coaching College, Beijing Sport University, Beijing, China
- 6Blood Purification Department, The Eighth People’s Hospital of Jinan, Shandong, China
- 7Shandong Mental Health Center, Shandong University, Jinan, China
Systematic Review Registration: Mild cognitive impairment (MCI) is a condition that impairs activities of daily living, and often transforms to dementia. Repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) show promise in improving cognitive functions in MCI patients. In this meta-analysis, we aimed to compare the effects of rTMS and tDCS on memory functions in MCI patients. We explored eight databases from their inception to March 16, 2024. We obtained 11 studies with 406 patients with MCI. We used the standardized mean difference (SMD) with a 95% confidence interval (CI) to synthesize the effect size. rTMS and tDCS significantly improved memory functions in MCI patients (SMD = 0.61; 95% CI: 0.41–0.82; p < 0.00001; I2 = 22%). In subgroup analysis of number of stimulation sessions, both rTMS and tDCS over 10 sessions (SMD = 0.84; 95% CI: 0.50–1.17, p < 0.00001, I2 = 0%) significantly improved the memory function in MCI patients. The subgroup analyses on different stimulation types (SMD = 0.78; 95% CI: 0.51–1.06; p < 0.00001; I2 = 0%) and treatment persistent effects (SMD = 0.93; 95% CI: 0.51–1.35, p < 0.0001, I2 = 0%) showed that rTMS was more effective than tDCS. rTMS with a stimulation frequency of 10 Hz (SMD = 0.86; 95% CI: 0.51–1.21; p < 0.00001; I2 = 0%) and over 10 sessions (SMD = 0.98; 95% CI: 0.58–1.38; p < 0.00001; I2 = 0%) at multiple sites (SMD = 0.97; 95% CI: 0.44–1.49; p = 0.0003; I2 = 0%) showed a great improvement in the memory performance of patients with MCI. rTMS was more likely to appear temporary side effects (risk ratio (RR) = 3.18, 95% CI: 1.29–7.83, p = 0.01). This meta-analysis suggests that rTMS and tDCS are safe and efficient tools to improve memory functions in patients with MCI, while rTMS had a larger effect than tDCS. rTMS with a stimulation frequency of 10 Hz targeted on multiple sites over 10 sessions showed the greatest effect. We could not conclude parameters of tDCS because of insufficient data.
https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024558991.
1 Introduction
Mild cognitive impairment (MCI) is a condition that impairs activities of daily living due to cognitive decline and often develops into full dementia (Petersen, 2004; Jack et al., 2011). Dependent on the involvement of memory impairment, it is divided into amnestic MCI and non-amnestic MCI (Petersen, 2016). Patients with MCI may show alterations of brain structure and function (Pereira et al., 2018). Here, the medial temporal lobe shows the earliest structural changes, including the hippocampus, parahippocampal, perirhinal, and entorhinal regions (Oedekoven et al., 2015). Memory functions, especially associative memory and episodic memory, are reduced primarily due to changes in the hippocampus, which is a part of the medial temporal lobe, and crucial for encoding and retrieving events (Diana et al., 2007; Dickerson and Eichenbaum, 2010). Functional neuroimaging studies revealed that the decline of memory performance in MCI patients is related to the reduced hippocampal activation (Oedekoven et al., 2015). At present, clinical data show that no effective pharmacological treatments to improve cognitive impairment are available (Petersen et al., 2018). Therefore, alternative non-pharmacological interventions to treat MCI are probed.
Non-invasive brain stimulation is a technique used to induce neuronal plasticity of the brain by modulating excitability of cortical neurons, and includes repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) (Teselink et al., 2021). In recent years, non-invasive brain stimulation has been probed for the treatment of neuropsychiatric disorders and appears to be a promising treatment for ameliorating cognitive impairment. rTMS induces alterations of cerebral excitability for a period that outlasts the intervention by inducing electrical pulses to the brain via repetitive magnetic pulses applied at regular intervals to the scalp (Klomjai et al., 2015). It alters the excitability of nerve cells via suprathreshold electrical stimuli induced in the brain, which activate neurons. Repetitive application of these stimuli induces synaptic plasticity. According to the stimulation frequency, it can be divided into high-frequency rTMS (≥ 5 Hz) and low-frequency rTMS (≤ 1 Hz) (Pascual-Leone et al., 1998). A novel rTMS protocol, namely theta burst stimulation (TBS), applies magnetic stimuli in bursts of three pulses at 50 Hz with an interval of 5 Hz (Huang et al., 2005), and is applied in two different patterns: intermittent theta burst stimulation (iTBS), which produces facilitatory effects on cortical excitability, and continuous theta burst stimulation (cTBS), which reduces cortical excitability (Huang et al., 2005). The mechanisms of the after-effects of rTMS and TBS are suggested to be similar to long-term potentiation (LTP) and long-term depression (LTD). LTP and LTD were first developed in animal models and reflect changes of synaptic strength induced by high-frequency, or low frequency stimulation. LTP is defined as an increase, while LTD reflects a decrease of synaptic strength (Klomjai et al., 2015). The frequency of stimulation determines the induction of LTP or LTD. High-frequency rTMS and iTBS have excitatory effects leading to LTP, while low-frequency rTMS and cTBS induce LTD (Nabavi et al., 2014; Klomjai et al., 2015). There is strong evidence experiment in rats showing that LTP and LTD play important roles in learning and memory (Nabavi et al., 2014; Connor and Wang, 2016). Some studies have shown that rTMS focused to certain brain regions, such as the precuneus, improve cognitive functions in MCI patients, which may make a reduction in excessive functional compensation to protect cortical plasticity of cerebrum (Ge et al., 2023). Furthermore, high-frequency rTMS targeted over the left dorsolateral prefrontal cortex (DLPFC) has been reported to improve memory functions in patients with MCI, which is suggested to be due to its interaction with the medial temporal network, contributing to executive and memory functions (Blumenfeld and Ranganath, 2006; Blumenfeld et al., 2011; Chou et al., 2020).
tDCS is a non-invasive brain stimulation method using low direct currents (1–2 mA) applied across the cortex using two or more electrodes (Chase et al., 2020). The mechanism of tDCS is thought to be an alteration of cortical excitability through modulation of resting membrane potentials. Anodal stimulus increases excitability and cathodal stimulus decreases excitability of the targeted areas when using conventional protocols, and sufficiently long-lasting intervention protocols result in neuroplastic after-effects (Brunoni et al., 2012). Anodal tDCS with conventional protocols increases cortical excitability, and induces LTP-like plasticity, while cathodal tDCS diminishes excitability, and generates LTD-like plasticity (Kronberg et al., 2017). Numerous studies reported that tDCS effectively improved cognitive abilities, such as memory and attention (Chase et al., 2020).
A few meta-analyses have explored the effect of rTMS in MCI patients. One meta-analysis focused on cognition of MCI patients treated by rTMS, including subgroup analyses of global cognition, memory, stimulation sites, and number of stimulation sessions (Zhang et al., 2021). Their results indicated that with high frequency, larger stimulation sessions, and multiple sites, rTMS brought about a greater improvement in cognition in MCI patients. Another meta-analysis explored the impact of rTMS alone or rTMS combined with pharmacological treatment on global cognition, episodic memory, and verbal fluency in MCI patients (Zhou et al., 2020). Compared to sham stimulation, rTMS produced improvement in global cognition, episodic memory, and verbal fluency in MCI patients. However, there was no significant difference in memory quotient compare rTMS plus pharmacological therapy to pharmacological treatment alone. There were also meta-analyses focused on the effects of tDCS in patients with MCI. For example, Cruz Gonzalez et al. explored whether tDCS alone or combined with cognitive training could improve cognitive functions in MCI and dementia patients. And they found that overall, tDCS alone achieved significant improvement in memory of MCI patients (Cruz Gonzalez et al., 2018). Talar et al. (2022) did meta-analysis on the effects of aerobic exercise paired with tDCS, aerobic exercise alone and tDCS alone in global cognition, working memory and executive function in healthy older adults, MCI and dementia patients. The results showed that tDCS had no effects on the three cognitive outcomes in patients with MCI. Although rTMS and tDCS have been used to treat patients with MCI, a comparative exploration of the effects of both methods is so far missing. Based on the existence evidence, there was no comparation on the effects of rTMS and tDCS without other interventions on memory functions in MCI alone. And to our knowledge there was no article exploring the parameters such as stimulation regions, number of stimulation sessions, frequencies and intensities of rTMS and/or tDCS in memory functions of MCI alone. It is essential to provide better treatment suggestions for clinical practitioners to treat the MCI patients, we included newly studies with strict inclusion criteria to evaluate the best treatment therapy and proper parameters. We aimed to close this gap by exploring the memory effects, and side effects of rTMS and tDCS in patients with MCI.
2 Materials and methods
2.1 Search strategy
The Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines were followed in this study. We conducted this systematic review and meta-analysis by searching suited studies in eight databases from their inception to March 16, 2024, including PubMed, Embase, Web of Science, Scopus, the Cochrane Library, the China National Knowledge Infrastructure, Wanfang, and the China Science and Technology Journal Database. To ensure that respective studies were extracted accurately, two independent authors were involved in the assessment of relevant articles. Any disagreements were resolved by discussions with a third arbitrator and a consensual decision. The search process is illustrated in Figure 1. We retrospectively registered the protocol of this meta-analysis at PROSPERO (No. CRD42024558991), with the date of registration 29/6/2024.
Figure 1. The flowchart of search procedure.
2.2 Inclusion and exclusion criteria
In accordance with the PICOS (participants, interventions, comparison, outcome and study design) criteria, studies that fulfill all of the following criteria were included: (1) participants ranged in age from 50 to 90; (2) participants were diagnosed with amnestic MCI or non-amnestic MCI by neurologists, or met the Petersen’s criteria (Petersen, 2004) or other criteria (clinical/neuropsychological criteria, Mayo Clinic Criteria, Guidelines for Diagnosis and treatment of dementia and cognitive disorders in China, and the criteria of the MCI Working Group of the European Consortium on Alzheimer’s disease); (3) non-invasive brain stimulation was used as intervention in the experimental group; (4) outcomes included memory; (5) randomized controlled trial as the trial design.
Articles were excluded when met one of following criteria: (1) meta-analyses, reviews, case reports, guidelines, comments, letters, animal studies, academic dissertations, and books; (2) participants with other diseases, such as schizophrenia; (3) studies without a control group receiving sham stimulation; (4) participants received drug treatments; (5) missing data.
2.3 Quality assessment
The quality of the included articles was assessed by two independent authors based on the Cochrane Collaboration tool. Seven domain biases were examined and the risk of bias for each domain was classified as low, high, or unclear (Figure 2). Any disagreement was discussed with and settled by the third arbitrator.
Figure 2. Risk of bias graph.
2.4 Data extraction
The data extracted from the selected studies included: (1) author(s), publication year, sample size; (2) diagnostic criteria; (3) intervention, stimulation site, number of stimulation sessions (treatment days/sessions of tDCS and rTMS), stimulation frequency (Hz of rTMS), stimulation intensity, duration, follow-up time, electrode and cognitive outcome measures.
2.5 Data analysis
All statistical analyses were performed by the Review Manager software (Review Manager 5.3). Memory functions were measured by different scales: the Rivermead Memory Behavioral Test (RMBT), Clinical Memory Scale (CMS), Episodic Memory Test, Digit Span Test-Backward (DST-B), Boston Naming Test, Delayed Matching to Sample (DMS) of the Neuropsychological Test Automated Battery (CANTAB), Auditory Verbal Learning Test (AVLT), Wechsler Memory Scale (WMS), and the Test de Aprendizaje Verbal Complutense (TAVEC). The Rivermead Memory Behavioral Test (RMBT) includes 14 subtests assessing aspects of visual, verbal, recall, recognition, immediate and delayed everyday memory (Zlomuzica et al., 2018). Clinical memory scale (CMS) is a memory function evaluation scale suitable for Chinese people and evaluates the auditory memory and visual memory (Zhang et al., 2017). Episodic Memory Test evaluates the episodic memory (Han et al., 2013). Digit Span Test-Backward (DSTB) assesses working memory capacity (Hibert et al., 2014). Boston Naming Test assesses verbal memory (Han et al., 2011; Gomes et al., 2019). Delayed Matching to Sample (DMS) of Cambridge Neuropsychological Test Automated Battery (CANTAB) evaluates the visual memory (Torgersen et al., 2012; Stonsaovapak et al., 2020). Auditory Verbal Learning Test (AVLT) evaluates immediate and delayed verbal memory (Zuo et al., 2018). Wechsler Memory Scale (WMS) scores are now derived for Older Adult Battery (65–90) and Adult Battery (16–69) and index include auditory memory, visual memory, visual working memory, immediate memory, and delayed memory (Han et al., 2011). And the Test de Aprendizaje Verbal Complutense (TAVEC) evaluates immediate memory (Benedet and Alejandre, 1998). They contained several aspects of memory, but all assessed the memory functions. In accordance with the Cochrane Handbook for Systematic Reviews, we calculated change values (mean ± standard deviation) from baseline to post-intervention as the outcomes of studies. We used the standardized mean difference (SMD) to assess the effect size of the interventions.
Heterogeneity was quantified by the I2 statistic; an I2 ≤ 25% suggested a low degree of heterogeneity, I2 ≤ 50% and > 25% indicated moderate heterogeneity. When meeting the two situations above, a fixed-effect model was used to integrate the results. I2 ≤ 75% and > 50% or I2 > 75% represented high or very high levels of heterogeneity, and a random-effect model was chosen. p < 0.05 was used to indicate a significant difference.
3 Results
3.1 Search results
Through the search of the eight databases, we obtained a total of 1749 records. Following the removal or duplicate records, 1,259 remained. Screening by title and abstract resulted in 43 articles. After reading the full text, we excluded the articles which not fit the content of this meta-analysis and articles without memory outcomes. Finally, we included 13 articles, including 486 MCI patients.
3.2 Characteristics of the included studies
The characteristics of the included articles are displayed in Table 1. Among the 13 studies, seven used rTMS and six used tDCS as the intervention. Eleven studies chose a single site of stimulation in the brain: eight studies stimulated the left DLPFC (F3) (Marra et al., 2012; Drumond Marra et al., 2015; Long et al., 2018; Wen et al., 2018; Gomes et al., 2019; Hu et al., 2020; Wang et al., 2021b; Satorres et al., 2023), one focused on the right DLPFC (F4) (Stonsaovapak et al., 2020), one study stimulated the left middle temporal gyrus (T3) (Gu et al., 2022), and one study stimulated the right cerebellum (Hu et al., 2016). The other two studies performed multi-site stimulation: one study focused on the bilateral DLPFC (F3, F4) (Han et al., 2013) and the other stimulated the bilateral frontal poles prefrontal area (Fp1, Fp2) and bilateral middle temporal gyrus (T3, T4) (Yan and Tao, 2011). All studies assessed memory functions as the outcomes following the treatment session immediately.
Table 1. Characteristics of the included studies.
3.3 Heterogeneity analysis
To ensure that the included studies were statistically comparable, we examined all 13 articles and found that two studies (Hu et al., 2016, 2020) caused a high level of heterogeneity at 66% (p = 0.0004). When we removed them, total heterogeneity decreased to 22% (p = 0.23), resulting in low heterogeneity. The heterogeneity of tDCS subgroup changed from 84% (p < 0.0001) to 33% (p = 0.21), meaning that the degree of heterogeneity changed from very high to moderate.
In the study by Hu et al. (2016), the site of stimulation was the right cerebellum and the tDCS current intensity was 1.2 mA, while the other included articles targeted the cerebrum and the tDCS current intensity was 2 mA. In the study by Hu et al. (2020), at current intensity of 1.0 mA was used with a 9 cm2 electrode area. While the intensity of other studies was higher stimulation intensity (2 mA), which maybe mean the higher efficiency. Previous study revealed that anodal stimulation at 2 mA induced excitability enhancement compared to 1 mA anodal stimulation (Batsikadze et al., 2013). Studies have also shown that electrode size influences effects of tDCS and smaller electrodes size were more efficacious maybe due to the impact of more specific focal and less cross-network influence (Chase et al., 2020). These might be the reasons for high heterogeneity. Therefore, we removed these two studies from our statistical analysis to increase accuracy.
3.4 Meta-analysis in all protocols
11 studies were included in the analysis of the whole heterogeneity (I2 = 22%, p = 0.23) (Figure 3) and analyzed via a fixed effect model. When comparing intervention-related changes of memory functions between the experimental and control groups, the SMD was 0.61 (95% confidence interval (CI): 0.41–0.82, p < 0.00001). The lack of marked asymmetry in the funnel plot as depicted in Figure 4 suggested there is no significant publication bias for results in this area.
Figure 3. Meta-analysis of rTMS and tDCS on memory functions in MCI patients.
Figure 4. A funnel plot showing publication bias among included studies.
3.5 Subgroup analysis: stimulation types
Subgroup analyses for the different stimulation types (tDCS, rTMS) were conducted. As depicted in Figure 5, a significant improvement of memory functions due to rTMS (SMD = 0.78; 95% CI: 0.51–1.06; p < 0.00001; I2 = 0%), as well as tDCS (SMD = 0.40; 95%CI: 0.10–0.71; p = 0.008; I2 = 33%) was revealed. The results showed furthermore that rTMS might have a larger improving effect on memory functions than tDCS.
Figure 5. Subgroup analysis for stimulation types (rTMS vs. tDCS).
3.6 Subgroup analysis: number of stimulation sessions
The number of stimulation sessions differed from five sessions to 40 sessions. Therefore, we divided them into two groups (> 10 sessions and ≤ 10 sessions), analyzing the effects of the short-term and long-term. The result revealed that studies with >10 sessions had a SMD of 0.84 (95% CI: 0.50–1.17, p < 0.00001, I2 = 0%), while those with ≤10 sessions had a SMD of 0.48 (95% CI: 0.23–0.74, p = 0.0002, I2 = 31%) (Figure 6).
Figure 6. Subgroup analysis for number of stimulation sessions (> 10 sessions vs. ≤ 10 sessions).
3.7 Subgroup analysis: number of stimulation sessions of rTMS
We also performed the subgroup analysis in the number of stimulation sessions only for rTMS, we explored the difference between long-term group (> 10 sessions) and short-term group (≤ 10 sessions) of rTMS. The result showed that there was a significant enhancement in the >10 sessions group (SMD = 0.98; 95% CI: 0.58–1.38; p < 0.00001; I2 = 0%) and the ≤10 sessions group (SMD = 0.62; 95% CI: 0.25–0.99; p = 0.0010; I2 = 11%) (Figure 7).
Figure 7. Subgroup analysis for number of stimulation sessions of rTMS (> 10 sessions vs. ≤ 10 sessions).
3.8 Subgroup analysis: stimulation site of rTMS
Regarding the subgroup analysis of the stimulation site, we explored the difference between single site and multiple sites of rTMS. Seven studies with 240 subjects involved used a single site and two studies with 63 subjects used multiple sites. The result showed that there was a significant enhancement in the single site group (SMD = 0.69; 95% CI: 0.43–0.96; p < 0.00001; I2 = 0%) and multiple sites group (SMD = 0.97; 95% CI: 0.44–1.49; p = 0.0003; I2 = 0%) (Figure 8).
Figure 8. Subgroup analysis for stimulation site of rTMS (single site vs. multiple sites).
3.9 Subgroup analysis: stimulation frequency of rTMS
Regarding the stimulation frequency of rTMS, it was classified in to two groups: >10 Hz and 10 Hz. We excluded one study using both 1 Hz and 13 Hz where it was difficult to determine the better frequency. Changes in the stimulation frequency of >10 Hz had a significant improvement (SMD = 0.57; 95% CI: 0.08–1.07; p = 0.02; I2 = 64%), as well as the 10 Hz group (SMD = 0.86; 95% CI: 0.51–1.21; p < 0.00001; I2 = 0%) (Figure 9).
Figure 9. Subgroup analysis for stimulation frequency of rTMS (>10 Hz vs. 10 Hz).
3.10 Subgroup analysis: treatment persistent effects
A subgroup analysis based on the follow-up results of memory functions was also performed (five studies). Three studies of rTMS and two studies of tDCS reported the follow-up results. The real stimulation of rTMS and tDCS groups showed great persistent improvements in memory functions of MCI patients compared with sham stimulation group (SMD = 0.70; 95% CI: 0.40–1.00; p < 0.00001; I2 = 0%). And the result revealed that the subgroup of rTMS had a SMD of 0.93 (95% CI: 0.51–1.35, p < 0.0001, I2 = 0%), while the subgroup of tDCS had a SMD of 0.46 (95% CI: 0.03–0.89, p = 0.04, I2 = 0%) (Figure 10).
Figure 10. Subgroup analysis for treatment persistent effects (rTMS vs. tDCS).
3.11 Subgroup analysis: adverse effects
In this meta-analysis, eight studies reported adverse effects, including six rTMS studies and two tDCS studies. A total of 34 out of 147 participants in the experimental groups and nine out of 149 participants in sham stimulation groups reported discomfort during the procedure. The analyses revealed that compared to the sham stimulation group, adverse reactions were more likely in the real stimulation group (RR = 3.31, 95% CI: 1.72–5.63, p = 0.0002). In the subgroup of rTMS, 15 participants in experimental group and three participants in control group reported adverse effects, while in the tDCS subgroup, side effects were reported in 19, and 6 participants in the experimental and control groups, respectively. rTMS was slightly more likely to appear side effects (risk ratio (RR) = 3.18, 95% CI: 1.29–7.83, p = 0.01) than tDCS (RR = 3.05, 95% CI: 1.40–6.64, p = 0.005). Most of the patients reported temporary mild headache, tingling sensations, or dizziness. Also skin itching (two persons), skin redness (one person), and fatigue (two person) were reported. All these symptoms were tolerable and recovered after experiments (Figure 11).
Figure 11. Subgroup analysis for adverse effects (rTMS vs. tDCS).
4 Discussion
To the best of our knowledge, this is the first meta-analysis to explore the effects of both, rTMS and tDCS on memory functions in MCI patients. This meta-analysis aimed to assess the efficacy of rTMS and tDCS in improving memory performance in MCI patients. 11 articles with 406 MCI patients were analyzed, while two studies were removed due to high heterogeneity. The results suggest that both rTMS and tDCS improved memory functions in patients with MCI compared with sham stimulation, but the efficacy of the interventions, different stimulation sites, frequencies, and number of stimulation sessions differed. Furthermore, we also explored the adverse effects in rTMS group and tDCS group.
A couple of previous meta-analyses conducted subgroup analyses for rTMS and tDCS in related fields. Teselink et al. explored the effects of rTMS and tDCS on global cognition and neuropsychiatric symptoms in Alzheimer’s Disease (AD) /MCI. In that study, subgroup analyses revealed positive effects of rTMS, but not tDCS (Teselink et al., 2021). Wang et al. explored behavioral and psychological symptoms of dementia before and after rTMS and tDCS in AD patients, which also revealed that rTMS significantly alleviated respective symptoms (Wang et al., 2020b). In addition, subgroup analyses on rTMS and tDCS in meta-analyses of other diseases also found a similar result pattern in other diseases, such as poststroke dysphagia, gait speed after stroke, and spinal cord injury (Yang et al., 2015; Vaz et al., 2019; Yu et al., 2020; Wang et al., 2021a). The subgroup analysis conducted for rTMS and tDCS in the present meta-analysis showed that both intervention tools had significant effects on improving memory functions in patients with MCI, but that rTMS was more efficient than tDCS. While several intervention parameters, which differed between studies, might affect stimulation outcomes, such as the targeted region, and number of stimulation sessions (Prehn and Flöel, 2015; Lefaucheur et al., 2020), also other factors might contribute, including mechanistic ones. rTMS evokes action potentials by influencing the strength of glutamatergic synapses and inducing suprathreshold depolarization of neuronal membranes (Gomes-Osman et al., 2018; Polanía et al., 2018). tDCS trigger s activation of voltage-gated pre-and postsynaptic sodium and calcium channels through subthreshold depolarization, and will increase the presynaptic release of excitatory transmitters as well as the postsynaptic calcium influx and then cause alterations of resting membrane potential (Nitsche and Paulus, 2001; Fertonani and Miniussi, 2017; Stagg et al., 2018). This meta-analysis included lower studies using tDCS than rTMS improving memory functions of patients with MCI, which could have also influenced the statistical result because small trails lack power and false positives may occur (Pocock and Stone, 2016). Therefore, more studies are required to explore the effects of tDCS on memory performance in MCI patients.
The results also showed that rTMS targeted on both a single site and multiple sites enhanced memory functions among MCI. It was not possible to make conclusion about targeted region of tDCS in this meta-analysis. Furthermore, we found that stimulating multiple sites were more efficient than a single site. This was similar to the results of previous studies. Lin et al. and Wang et al. reported that cognitive enhancement following rTMS over multiple sites was superior to single site stimulation (Lin et al., 2019; Wang et al., 2020a). Liao et al. (2015) found that the effect of rTMS over the bilateral DLPFC was better than that of only left DLPFC stimulation. In this meta-analysis, two rTMS studies targeted multiple sites, and seven rTMS studies focused on a single site. Specifically, multiple site stimulation was conducted over the bilateral DLPFC (F3, F4), the bilateral frontal poles (Fp1, Fp2) as well as the bilateral middle temporal gyrus (T3, T4), and single site stimulation was conducted over the left DLPFC (F3). Cognitive neuroscience has proven the involvement of the PFC in human memory, attention, perception via top-down signals to control various cognitive processes (Tanigawa et al., 2022). The DLPFC is a core area of cognitive functions and has extensive connections with other brain regions. Barbey et al. drew many brain-injured (significant damage to left and/or right DLPFC) and neurologically healthy Vietnam veterans to explored the necessity of DLPFC for working memory, and deficiency was observed in the brain-injured patients group for working memory (Barbey et al., 2013). This indicated that working memory was mainly processed in the DLPFC. It may also interact with the medial temporal network, contributing to executive and memory function (Blumenfeld and Ranganath, 2006; Blumenfeld et al., 2011; Chou et al., 2020). A study revealed that patients with left or right medial temporal lobe resection had difficulties in retrieving autobiographical memories (Noulhiane et al., 2007; Tanigawa et al., 2022). Therefore, rTMS and tDCS targeted on the DLPFC might improve the working memory in neurological and psychiatric disorders, such as MCI (Fox et al., 2014). Studies have shown varying degrees of success regarding the therapeutic effects by targeting two sites, which greatly increases the stimulation volume (Rossi et al., 2009).
In addition, both the short-term (≤ 10 sessions) and long-term (> 10 sessions) stimulation effects were significantly improved the memory function of MCI patients, with the long-term effect showing greater benefits. Furthermore, we found that long-term rTMS interventions was better than short-term interventions in improving memory performance in MCI patients. These results were consistent with the findings of previous meta-analyses, long-term effects of rTMS showed greater benefits than short-term interventions in improving cognitive functions of patients with MCI/AD (Lin et al., 2019; Wang et al., 2020a; Zhang et al., 2021). The study by Wang et al. (2020a) compared the effects of long-term treatment (> 10 sessions) and short-term treatment (≤ 10 sessions) for cognitive function of rTMS in patients with AD, and their results showed that long-term rTMS had longer aftereffects. The meta-analysis by Lin et al. found that the effects of long-term treatment may be confounded with stimulating multiple sites, which resulted in better effects on improving memory functions in patients with AD (Lin et al., 2019). Due to the few studies available, further studies should explore the specific contribution of respective factors.
High-frequency (≥ 5 Hz) stimulation raises cortical excitability, with low frequency (≤ 1 Hz) doing the opposite (Cirillo et al., 2017). Early research has proven that 20 Hz can increase cortical excitability while 1 Hz decreased excitability (Gangitano et al., 2002). Ahmed et al. (2012) performed a comparison between 20 Hz and 1 Hz rTMS in cognitive functions of patients with AD, indicating that higher frequency rTMS was more useful. In our subgroup analysis of rTMS stimulation frequency, there were seven studies: one trial applied 20 Hz rTMS, one trial used 15 Hz rTMS, four trails used 10 Hz rTMS, and one trial used both 13 Hz and 1 Hz rTMS; we removed the last one due to the mix of high-frequency (≥ 5 Hz) and low frequency (≤ 1 Hz), and sorted the patients into two groups: > 10 Hz and 10 Hz. In summary, 10 Hz was more effective than >10 Hz. Therefore, 10 Hz rTMS showed a better improvement on memory functions in patients with MCI than 15 Hz and 20 Hz. However, this result was inconsistent with the conclusion of previous findings, such as the study by Wang et al. (2020a), which reported that 20 Hz stimulation resulted in better cognitive function than 10 Hz and 1 Hz rTMS. This difference might be due to the lack of 20 Hz rTMS studies included in this meta-analysis. Therefore, the result should be interpreted with caution. A larger sample of high-quality studies is required to explore this conclusion.
In addition, the stimulation duration of tDCS is also an important factor. Most studies used tDCS with duration of 20 min or 30 min, which showed good effects in improving the neurological functions in MCI or AD patients. In included studies, there were three studies using 20 min and one study using 30 min. However, it appeared that tDCS with duration of at least 20 min was required to induce improvement of memory functions in patients with MCI. Within certain limits, a longer stimulation duration may enhance the efficacy of the stimulation effects, but, prolonged excitation may eventually switch to inhibition (Monte-Silva et al., 2013; Stagg et al., 2018). Thus, it still needs more studies to explore the fit duration of tDCS.
How long the stimulation effects persist is a crucial aspect. We collected follow-up memory functions results of five included studies, with three studies of rTMS and two studies of tDCS. The results showed that real stimulation of rTMS and tDCS existed persistent effects in the fourth weeks, eighth weeks or one month after treatment. These results might relate to the feature of long-lasting cortical excitability elevations. rTMS induced long-lasting changes beyond the stimulation period in human brain activity, which might through removing GABAergic inhibition by transient deafferentation (Nitsche and Paulus, 2001; Klomjai et al., 2015). tDCS can also prolong the excitability of human brain activities in synaptic efficacy by increasing postsynaptic calcium influx (Nitsche and Paulus, 2001). The treatment persistence effects are critical for clinical practitioners to understand the expected timeline for treatment outcomes and to provide patients with informed guidance on when they might begin to experience the benefits of the treatment.
Overall, this meta-analysis revealed that rTMS and tDCS are safe and effective methods for improving memory functions in MCI patients. The outcome showed that adverse effects were more likely appeared in real stimulation group rather than sham stimulation group. And rTMS was more likely to appear than tDCS, which might because the studies (two) and participants (43 in experimental group and 42 in control group) of tDCS group were lower than rTMS group (six studies with 104 participants in experimental group and 107 participants in control group), while previous study considered that trails with small sample capacity lack power and false positives may occur (Pocock and Stone, 2016). The result revealed that adverse reactions were more likely in the experimental group, but almost all participants could tolerate the stimulation. Some mild adverse effects were reported, such as brief tingling, itching sensation, skin redness, mild headache, dizziness, and fatigue during the experiment. All symptoms were alleviated within 1 to 2 h.
The motor threshold is the most relevant parameter of TMS, which is used to determine the intensity of rTMS. It consists of the resting motor threshold and active motor threshold (Gomes-Osman et al., 2018). In most studies, the stimulation intensity was lower than 130% of the resting motor threshold to ensure safety (Rossi et al., 2009). However, due to interference factors of drugs during stimulation, underlying pathological factors, and other physiological reasons, no consensus on the stimulation intensity of rTMS has been reached in previous studies (Rossi et al., 2009). Thus, further research should explore the parameter of stimulation intensity of rTMS.
This meta-analysis had some limitations. First, we did not include data missing articles or studies written in other languages except for English or Chinese. Second, the measurement scales of memory functions were different between the studies because of the lack of studies, which assessed the several aspects of memory functions. Thus, we used the SMD to synthesize the effect size to solve this as far as possible. Third, we did not compare the targeted areas one by one to find the best stimulation region for memory functions improvement in MCI patients because the number of studies of each subgroup should include at least two studies. We only included rTMS studies in the subgroup analysis of stimulation sites and we could not make conclusion on stimulation site of tDCS. Fourth, we did not include the studies that using TMS and tDCS combined with other interventions, which is an excellent research question for the future. At last, the number of tDCS studies was relatively small and there was no enough data to do subgroup analyses so that we could not make a conclusion of the parameters of tDCS. Therefore, more researches are required to validate the present findings in stimulation regions, number of stimulation sessions, frequencies and intensities of rTMS as well as durations of tDCS to overcome the knowledge gaps.
5 Conclusion
The results of this review and meta-analysis suggest that rTMS and tDCS are safe and effective in improving memory functions in MCI patients and rTMS showed better effects than tDCS. rTMS targeted on multiple sites with a frequency of 10 Hz over 10 sessions seemed to show the greatest effect. We could not conclude parameters of tDCS due to insufficient data. The analysis showed knowledge gaps to overcome to optimize interventions. This result might facilitate the progress in improving the memory functions in patients with MCI.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.
Author contributions
MH: Data curation, Formal analysis, Writing – original draft. MN: Writing – review & editing, Visualization. YL: Writing – review & editing, Data curation. HH: Writing – review & editing, Visualization. XL: Conceptualization, Visualization, Writing – review & editing. FQ: Conceptualization, Visualization, Writing – review & editing.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research was funded by the Fundamental Research Funds for the Central Universities (the Laboratory of Exercises Rehabilitation Science, 2023KFZX002), and the Research Foundation for Advanced Talents of Beijing Sport University (3101037).
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
Ahmed, M. A., Darwish, E. S., Khedr, E. M., El Serogy, Y. M., and Ali, A. M. (2012). Effects of low versus high frequencies of repetitive transcranial magnetic stimulation on cognitive function and cortical excitability in Alzheimer's dementia. J. Neurol. 259, 83–92. doi: 10.1007/s00415-011-6128-4
Barbey, A. K., Koenigs, M., and Grafman, J. (2013). Dorsolateral prefrontal contributions to human working memory. Cortex 49, 1195–1205. doi: 10.1016/j.cortex.2012.05.022
Batsikadze, G., Moliadze, V., Paulus, W., Kuo, M. F., and Nitsche, M. A. (2013). Partially non-linear stimulation intensity-dependent effects of direct current stimulation on motor cortex excitability in humans. J. Physiol. 591, 1987–2000. doi: 10.1113/jphysiol.2012.249730
Benedet, M. J., and Alejandre, M. A. (1998). Tavec: Test de aprendizaje verbal España-Complutense. Madrid: Tea Ediciones.
Blumenfeld, R. S., Parks, C. M., Yonelinas, A. P., and Ranganath, C. (2011). Putting the pieces together: the role of dorsolateral prefrontal cortex in relational memory encoding. J. Cogn. Neurosci. 23, 257–265. doi: 10.1162/jocn.2010.21459
Blumenfeld, R. S., and Ranganath, C. (2006). Dorsolateral prefrontal cortex promotes long-term memory formation through its role in working memory organization. J. Neurosci. 26, 916–925. doi: 10.1523/JNEUROSCI.2353-05.2006
Brunoni, A. R., Nitsche, M. A., Bolognini, N., Bikson, M., Wagner, T., Merabet, L., et al. (2012). Clinical research with transcranial direct current stimulation (tdcs): challenges and future directions. Brain Stimul. 5, 175–195. doi: 10.1016/j.brs.2011.03.002
Chase, H. W., Boudewyn, M. A., Carter, C. S., and Phillips, M. L. (2020). Transcranial direct current stimulation: a roadmap for research, from mechanism of action to clinical implementation. Mol. Psychiatry 25, 397–407. doi: 10.1038/s41380-019-0499-9
Chou, Y. H., Ton That, V., and Sundman, M. (2020). A systematic review and meta-analysis of rtms effects on cognitive enhancement in mild cognitive impairment and Alzheimer's disease. Neurobiol. Aging 86, 1–10. doi: 10.1016/j.neurobiolaging.2019.08.020
Cirillo, G., Di Pino, G., Capone, F., Ranieri, F., Florio, L., Todisco, V., et al. (2017). Neurobiological after-effects of non-invasive brain stimulation. Brain Stimul. 10, 1–18. doi: 10.1016/j.brs.2016.11.009
Connor, S. A., and Wang, Y. T. (2016). A place at the Table: ltd as a mediator of memory genesis. Neuroscientist 22, 359–371. doi: 10.1177/1073858415588498
Cruz Gonzalez, P., Fong, K. N. K., Chung, R. C. K., Ting, K. H., Law, L. L. F., and Brown, T. (2018). Can transcranial direct-current stimulation alone or combined with cognitive training be used as a clinical intervention to improve cognitive functioning in persons with mild cognitive impairment and dementia? A systematic review and meta-analysis. Front. Hum. Neurosci. 12:416. doi: 10.3389/fnhum.2018.00416
Diana, R. A., Yonelinas, A. P., and Ranganath, C. (2007). Imaging recollection and familiarity in the medial temporal lobe: a three-component model. Trends Cogn. Sci. 11, 379–386. doi: 10.1016/j.tics.2007.08.001
Dickerson, B. C., and Eichenbaum, H. (2010). The episodic memory system: neurocircuitry and disorders. Neuropsychopharmacology 35, 86–104. doi: 10.1038/npp.2009.126
Drumond Marra, H. L., Myczkowski, M. L., Maia Memória, C., Arnaut, D., Leite Ribeiro, P., Sardinha Mansur, C. G., et al. (2015). Transcranial magnetic stimulation to address mild cognitive impairment in the elderly: a randomized controlled study. Behav. Neurol. 2015:287843. doi: 10.1155/2015/287843
Fertonani, A., and Miniussi, C. (2017). Transcranial electrical stimulation: what we know and do not know about mechanisms. Neuroscientist 23, 109–123. doi: 10.1177/1073858416631966
Fox, M. D., Buckner, R. L., Liu, H., Chakravarty, M. M., Lozano, A. M., and Pascual-Leone, A. (2014). Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases. Proc. Natl. Acad. Sci. USA 111, E4367–E4375. doi: 10.1073/pnas.1405003111
Gangitano, M., Valero-Cabré, A., Tormos, J. M., Mottaghy, F. M., Romero, J. R., and Pascual-Leone, A. (2002). Modulation of input-output curves by low and high frequency repetitive transcranial magnetic stimulation of the motor cortex. Clin. Neurophysiol. 113, 1249–1257. doi: 10.1016/S1388-2457(02)00109-8
Ge, H., Chen, S., Che, Z., Wu, H., Yang, X., Qiao, M., et al. (2023). Rtms regulates homotopic functional connectivity in the Scd and mci patients. Front. Neurosci. 17:1301926. doi: 10.3389/fnins.2023.1301926
Gomes, M. A., Akiba, H. T., Gomes, J. S., Trevizol, A. P., De Lacerda, A. L. T., Dias, Á., et al. (2019). Transcranial direct current stimulation (tdcs) in elderly with mild cognitive impairment: a pilot study. Dement Neuropsychol. 13, 187–195. doi: 10.1590/1980-57642018dn13-020007
Gomes-Osman, J., Indahlastari, A., Fried, P. J., Cabral, D. L. F., Rice, J., Nissim, N. R., et al. (2018). Non-invasive brain stimulation: probing Intracortical circuits and improving cognition in the aging brain. Front. Aging Neurosci. 10:177. doi: 10.3389/fnagi.2018.00177
Gu, J., Li, D., Li, Z., Guo, Y., Qian, F., Wang, Y., et al. (2022). The effect and mechanism of transcranial direct current stimulation on episodic memory in patients with mild cognitive impairment. Front. Neurosci. 16:811403. doi: 10.3389/fnins.2022.811403
Han, D. Y., Hoelzle, J. B., Dennis, B. C., and Hoffmann, M. (2011). A brief review of cognitive assessment in neurotoxicology. Neurol. Clin. 29, 581–590. doi: 10.1016/j.ncl.2011.05.008
Han, K., Yu, L., Wang, L., Li, N., Liu, K., Xu, S., et al. (2013). The case-control study of the effect of repetitive transcranial magnetic stimulation on elderly mild cognitive impairment patients. J. Clin. Psychiatry 23, 156–159.
Hibert, S., Nakagawa, T. T., Puci, P., Zach, A., and Bühner, M. (2014). The digit span backwards task. Eur. J. Psychol. Assess. 31, 1–7. doi: 10.1027/1015-5759/a000223
Hu, R., Chen, S., Chen, X., Rong, J., Zuo, K., and Huang, X. (2020). The effects of transcranial direct current stimulation on patients with amnestic mild cognitive impairment. Shenzhen J. Integ Trad. Chin. West. Med. 30, 4–5. doi: 10.16458/j.cnki.1007-0893.2020.10.002
Hu, R., Chen, Z., Feng, S., Chen, S., and Wang, H. (2016). The effects of transcranial direct current stimulation on the verbal working memory of amnesic patients with mild cognitive impairment. Chin. J. Phys. Med. Rehabil. 38, 267–271. doi: 10.3760/cma.j.issn.0254-1424.2016.04.006
Huang, Y. Z., Edwards, M. J., Rounis, E., Bhatia, K. P., and Rothwell, J. C. (2005). Theta burst stimulation of the human motor cortex. Neuron 45, 201–206. doi: 10.1016/j.neuron.2004.12.033
Jack, C. R. Jr., Albert, M. S., Knopman, D. S., Mckhann, G. M., Sperling, R. A., Carrillo, M. C., et al. (2011). Introduction to the recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. 7, 257–262. doi: 10.1016/j.jalz.2011.03.004
Klomjai, W., Katz, R., and Lackmy-Vallée, A. (2015). Basic principles of transcranial magnetic stimulation (Tms) and repetitive Tms (rtms). Ann. Phys. Rehabil. Med. 58, 208–213. doi: 10.1016/j.rehab.2015.05.005
Kronberg, G., Bridi, M., Abel, T., Bikson, M., and Parra, L. C. (2017). Direct current stimulation modulates Ltp and ltd: activity dependence and dendritic effects. Brain Stimul. 10, 51–58. doi: 10.1016/j.brs.2016.10.001
Lefaucheur, J.-P., Aleman, A., Baeken, C., Benninger, D. H., Brunelin, J., Di Lazzaro, V., et al. (2020). Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rtms): an update (2014–2018). Clin. Neurophysiol. 131, 474–528. doi: 10.1016/j.clinph.2019.11.002
Liao, X., Li, G., Wang, A., Liu, T., Feng, S., Guo, Z., et al. (2015). Repetitive transcranial magnetic stimulation as an alternative therapy for cognitive impairment in Alzheimer's disease: a meta-analysis. J. Alzheimers Dis. 48, 463–472. doi: 10.3233/JAD-150346
Lin, Y., Jiang, W. J., Shan, P. Y., Lu, M., Wang, T., Li, R. H., et al. (2019). The role of repetitive transcranial magnetic stimulation (rtms) in the treatment of cognitive impairment in patients with Alzheimer's disease: a systematic review and meta-analysis. J. Neurol. Sci. 398, 184–191. doi: 10.1016/j.jns.2019.01.038
Long, S., Wang, X., Luo, C., Liu, X., Yang, F., He, S., et al. (2018). The effect of repetitive transcranial magnetic stimulation on cognitive function and long-term functional connectivity in patients with amnestic mild cognitive impairment. Chin. J. Gerontol. 38, 785–788. doi: 10.3969/j.issn.1005-9202.2018.04.008
Marra, H., Marcolin, M. A., Forlenza, O., Myczkowski, M., Memoria, C., and Arnaut, D. (2012). Preliminary results: transcranial magnetic stimulation improves memory and attention in elderly with cognitive impairment no-dementia (Cind)—a controlled study. Alzheimers Dement. 8, 389–392. doi: 10.1016/j.jalz.2012.05.1077
Monte-Silva, K., Kuo, M. F., Hessenthaler, S., Fresnoza, S., Liebetanz, D., Paulus, W., et al. (2013). Induction of late Ltp-like plasticity in the human motor cortex by repeated non-invasive brain stimulation. Brain Stimul. 6, 424–432. doi: 10.1016/j.brs.2012.04.011
Nabavi, S., Fox, R., Proulx, C. D., Lin, J. Y., Tsien, R. Y., and Malinow, R. (2014). Engineering a memory with ltd and Ltp. Nature 511, 348–352. doi: 10.1038/nature13294
Nitsche, M. A., and Paulus, W. (2001). Sustained excitability elevations induced by transcranial dc motor cortex stimulation in humans. Neurology 57, 1899–1901. doi: 10.1212/WNL.57.10.1899
Noulhiane, M., Piolino, P., Hasboun, D., Clemenceau, S., Baulac, M., and Samson, S. (2007). Autobiographical memory after temporal lobe resection: neuropsychological and Mri volumetric findings. Brain 130, 3184–3199. doi: 10.1093/brain/awm258
Oedekoven, C. S., Jansen, A., Keidel, J. L., Kircher, T., and Leube, D. (2015). The influence of age and mild cognitive impairment on associative memory performance and underlying brain networks. Brain Imaging Behav. 9, 776–789. doi: 10.1007/s11682-014-9335-7
Pascual-Leone, A., Tormos, J. M., Keenan, J., Tarazona, F., Cañete, C., and Catalá, M. D. (1998). Study and modulation of human cortical excitability with transcranial magnetic stimulation. J. Clin. Neurophysiol. 15, 333–343. doi: 10.1097/00004691-199807000-00005
Pereira, J. B., Van Westen, D., Stomrud, E., Strandberg, T. O., Volpe, G., Westman, E., et al. (2018). Abnormal structural brain connectome in individuals with preclinical Alzheimer's disease. Cereb. Cortex 28, 3638–3649. doi: 10.1093/cercor/bhx236
Petersen, R. C. (2004). Mild cognitive impairment as a diagnostic entity. J. Intern. Med. 256, 183–194
Petersen, R. C. (2016). Mild cognitive impairment. Continuum (Minneap Minn) 22, 404–418. doi: 10.1212/CON.0000000000000313
Petersen, R. C., Lopez, O., Armstrong, M. J., Getchius, T. S. D., Ganguli, M., Gloss, D., et al. (2018). Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation Subcommittee of the American Academy of neurology. Neurology 90, 126–135. doi: 10.1212/WNL.0000000000004826
Pocock, S. J., and Stone, G. W. (2016). The primary outcome is positive - is That good enough? N. Engl. J. Med. 375, 971–979. doi: 10.1056/NEJMra1601511
Polanía, R., Nitsche, M. A., and Ruff, C. C. (2018). Studying and modifying brain function with non-invasive brain stimulation. Nat. Neurosci. 21, 174–187. doi: 10.1038/s41593-017-0054-4
Prehn, K., and Flöel, A. (2015). Potentials and limits to enhance cognitive functions in healthy and pathological aging by tdcs. Front. Cell. Neurosci. 9:355. doi: 10.3389/fncel.2015.00355
Rossi, S., Hallett, M., Rossini, P. M., and Pascual-Leone, A.Safety Of, T.M.S.C.G (2009). Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clin. Neurophysiol. 120, 2008–2039. doi: 10.1016/j.clinph.2009.08.016
Satorres, E., Torrella, J. E., Real, E., Pitarque, A., Delhom, I., and Melendez, J. C. (2023). Home-based transcranial direct current stimulation in mild neurocognitive disorder due to possible Alzheimer's disease. A randomised, single-blind, controlled-placebo study. Front. Psychol. 13:1071737. doi: 10.3389/fpsyg.2022.1071737
Stagg, C. J., Antal, A., and Nitsche, M. A. (2018). Physiology of transcranial direct current stimulation. J. ECT 34, 144–152. doi: 10.1097/YCT.0000000000000510
Stonsaovapak, C., Hemrungroj, S., Terachinda, P., and Piravej, K. (2020). Effect of anodal transcranial direct current stimulation at the right dorsolateral prefrontal cortex on the cognitive function in patients with mild cognitive impairment: a randomized double-blind controlled trial. Arch. Phys. Med. Rehabil. 101, 1279–1287. doi: 10.1016/j.apmr.2020.03.023
Talar, K., Vetrovsky, T., Van Haren, M., Négyesi, J., Granacher, U., Váczi, M., et al. (2022). The effects of aerobic exercise and transcranial direct current stimulation on cognitive function in older adults with and without cognitive impairment: a systematic review and meta-analysis. Ageing Res. Rev. 81:101738. doi: 10.1016/j.arr.2022.101738
Tanigawa, H., Majima, K., Takei, R., Kawasaki, K., Sawahata, H., Nakahara, K., et al. (2022). Decoding distributed oscillatory signals driven by memory and perception in the prefrontal cortex. Cell Rep. 39:110676. doi: 10.1016/j.celrep.2022.110676
Teselink, J., Bawa, K. K., Koo, G. K., Sankhe, K., Liu, C. S., Rapoport, M., et al. (2021). Efficacy of non-invasive brain stimulation on global cognition and neuropsychiatric symptoms in Alzheimer's disease and mild cognitive impairment: a meta-analysis and systematic review. Ageing Res. Rev. 72:101499. doi: 10.1016/j.arr.2021.101499
Torgersen, J. F. H., Engelsen, B. A., and Gramstad, A. (2012). Clinical validation of Cambridge neuropsychological test automated battery in a Norwegian epilepsy population. J. Behav. Brain Sci. 2, 108–116. doi: 10.4236/jbbs.2012.21013
Vaz, P. G., Salazar, A., Stein, C., Marchese, R. R., Lukrafka, J. L., Plentz, R. D. M., et al. (2019). Noninvasive brain stimulation combined with other therapies improves gait speed after stroke: a systematic review and meta-analysis. Top. Stroke Rehabil. 26, 201–213. doi: 10.1080/10749357.2019.1565696
Wang, T., Dong, L., Cong, X., Luo, H., Li, W., Meng, P., et al. (2021a). Comparative efficacy of non-invasive neurostimulation therapies for poststroke dysphagia: a systematic review and meta-analysis. Neurophysiol. Clin. 51, 493–506. doi: 10.1016/j.neucli.2021.02.006
Wang, T., Guo, Z., Du, Y., Jiang, Y., and Mu, Q. (2021b). Effects of high-frequency rtms on cognitive function and neural activity in mild cognitive impairment. Chongqing Med. 50, 4176–4181. doi: 10.3969/j.issn.1671-8348.2021.24.008
Wang, X., Mao, Z., Ling, Z., and Yu, X. (2020a). Repetitive transcranial magnetic stimulation for cognitive impairment in Alzheimer's disease: a meta-analysis of randomized controlled trials. J. Neurol. 267, 791–801. doi: 10.1007/s00415-019-09644-y
Wang, X., Mao, Z., and Yu, X. (2020b). The role of noninvasive brain stimulation for behavioral and psychological symptoms of dementia: a systematic review and meta-analysis. Neurol. Sci. 41, 1063–1074. doi: 10.1007/s10072-020-04245-4
Wen, X., Cao, X., Qiu, G., Dou, Z., and Chen, S. (2018). The effects of repetitive transcranial magnetic stimulation on amnestic mild cognitive impairment. Chin. J. Gerontol. 38, 1662–1663. doi: 10.3969/j.issn.1005-9202.2018.07.054
Yan, L., and Tao, H. (2011). The effect of repetitive magnetic stimulation on memory function in patients with mild cognitive impairment. Chin. J. Geriatr. Heart, Brain Vessel Dis. 13, 438–441. doi: 10.3969/j.issn.1009-0126.2011.05.018
Yang, S. N., Pyun, S. B., Kim, H. J., Ahn, H. S., and Rhyu, B. J. (2015). Effectiveness of non-invasive brain stimulation in dysphagia subsequent to stroke: a systemic review and meta-analysis. Dysphagia 30, 383–391. doi: 10.1007/s00455-015-9619-0
Yu, B., Qiu, H., Li, J., Zhong, C., and Li, J. (2020). Noninvasive brain stimulation does not improve neuropathic pain in individuals with spinal cord injury: evidence from a meta-analysis of 11 randomized controlled trials. Am. J. Phys. Med. Rehabil. 99, 811–820. doi: 10.1097/PHM.0000000000001421
Zhang, X., Lan, X., Chen, C., Ren, H., and Guo, Y. (2021). Effects of repetitive transcranial magnetic stimulation in patients with mild cognitive impairment: a meta-analysis of randomized controlled trials. Front. Hum. Neurosci. 15:723715. doi: 10.3389/fnhum.2021.723715
Zhang, J., Lu, Z., Gao, Y., and Qu, H. (2017). The application of clinical memory scale. J. Med Theor. Prac. 30, 2543–2546. doi: 10.19381/j.issn.1001-7585.2017.17.018
Zhou, L., Guo, Z., Jiang, B., Cai, M., Qin, L., Du, Y., et al. (2020). The efficacy of repetitive transcranial magnetic stimulation in the treatment of mild cognitive impairment: a meta-analysis. Chin. J. Phys. Med. Rehabil. 42, 562–569. doi: 10.3760/cma.j.issn.0254-1424.2020.06.020
Zlomuzica, A., Woud, M. L., Machulska, A., Kleimt, K., Dietrich, L., Wolf, O. T., et al. (2018). Deficits in episodic memory and mental time travel in patients with post-traumatic stress disorder. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 83, 42–54. doi: 10.1016/j.pnpbp.2017.12.014
Keywords: mild cognitive impairment, memory, repetitive transcranial magnetic stimulation, transcranial direct current stimulation, cognitive function, non-invasive brain stimulation
Citation: Hu M, Nitsche MA, Lv Y, Han H, Lin X and Qi F (2024) The effects of repetitive transcranial magnetic and transcranial direct current stimulation on memory functions in older adults with mild cognitive impairment: a systematic review and meta-analysis. Front. Hum. Neurosci. 18:1436448. doi: 10.3389/fnhum.2024.1436448
Edited by:
Paradee Auvichayapat, Khon Kaen University, ThailandReviewed by:
Jukrapope Jitpimolmard, Ratchaphruek Hospital, ThailandWanalee Klomjai, Mahidol University, Thailand
Copyright © 2024 Hu, Nitsche, Lv, Han, Lin and Qi. 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: Xu Lin, lx860712@163.com; Fengxue Qi, fengxue.qi@hotmail.com