Home Medicine A meta-analysis of the effects of DBS on cognitive function in patients with advanced PD
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A meta-analysis of the effects of DBS on cognitive function in patients with advanced PD

  • Yuxin Gai , Mengyi Qian , Guojian Lin , Hujie Zhan , Linhui Fan and Lijing Su EMAIL logo
Published/Copyright: October 9, 2025

Abstract

Background

Although deep brain stimulation (DBS) has been proven to enhance motor function in Parkinson’s disease (PD) patients, its potential adverse impact on cognitive function remains ambiguous. This study aimed to explore the effects of DBS on cognitive function in patients with advanced PD.

Methods

PubMed, EBSCO, Cochrane Library, Web of Science, and Embase were searched for randomized controlled trials (RCTs) and cohort studies on DBS and advanced PD from inception to January 2025. The main cognitive function assessment tools include but are not limited to Mini-MENTAL State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS).

Results

A total of 7 RCTs and 11 cohort studies were included. Analyses reveals no significant differences in MMSE (mean difference [MD] = −0.33, P = 0.19) and MDRS (MD = −0.75, P = 0.08) between the DBS group and the best medical therapy (BMT) group overall. However, the DBS group had significantly worse cognitive function after treatment than the BMT group in phonemic fluency (MD = −3.17, P = 0.03). No significant differences were observed between the groups in other domains, including information processing, memory, executive function, and visuospatial function.

Conclusions

DBS poses a potential risk to cognitive function in patients with advanced PD.

1 Introduction

Parkinson’s disease (PD) is the second most common neurodegenerative disease worldwide, predominantly affecting middle-aged and older adults. The global prevalence has risen steadily. In 2019, PD caused 5.8 million people to be disabled worldwide, representing an 81% increase from 2000 [1,2]. Characterized by three primary motor symptoms – rigidity, resting tremor, and bradykinesia – PD significantly impairs patients’ quality of life.

There is growing evidence that pharmacological treatments are ineffective for patients with advanced PD [3]. In recent years, treatments that use technology to affect specific locations in the brain have become increasingly common. One of the most important and accepted treatments is deep brain stimulation (DBS) [4]. Limousin and Foltynie [5] analyzed the efficacy of DBS in the treatment of PD, concluding that DBS improves motor function for up to 10 years, and that the prevalence and severity of dementia among patients receiving DBS is comparable to that among those treated with best medical therapy (BMT). Their study confirmed the effect of DBS on motor deficits, but for cognitive function, the efficacy was questionable. The results of a retrospective study by Hong et al. [6] reported no significant difference in overall cognition in patients with PD compared to preoperative (Mini-MENTAL State Examination [MMSE]: P = 0.275). However, Acera et al. [7] reported a 5-year follow-up of 40 patients with PD and found that the patients’ semantic and phonological fluency scores decreased by 16.1 and 16.6%, respectively. That is, the patients’ cognitive function declined in terms of language. In addition, due to pathological reasons or aging factors, patients with PD have symptoms of reduced cognitive function themselves. Based on the current studies, it remains inconclusive whether DBS affects cognitive function in patients with advanced PD.

DBS (specifically stimulation of the subthalamic nucleus [STN] and globus pallidus [GPi]) was first approved by the Food and drug administration for the treatment of PD in 2003 [8]. Many newer studies have been reported recently. Therefore, the aim of this study was to explore the changes in cognitive function after DBS in patients with advanced PD compared to the BMT.

2 Methods

2.1 Search strategy

This meta-analysis adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, this meta-analysis was registered with the international prospective register of systematic reviews under the registration number CRD420250633442. We conducted comprehensive searches from their inception through the databases till January 2025 across five electronic databases: PubMed, EBSCO, Cochrane Library, Web of Science, and Embase. The searches aimed to explore the effect of DBS on cognitive function in patients with PD. To minimize potential omissions, references from the included studies were manually searched. Search terms were developed using a combination of Medical Subject Headings (MeSH) and free-text terms as follows: Parkinson Disease [MeSH] OR PD OR Parkinson’s disease OR parkinsonian disorder OR parkinsonism disease OR Parkinson diseases OR Parkinson’ disease OR parkinsonian disease OR parkinsonian diseases AND deep brain stimulation [MeSH] OR deep-brain stimulation OR deep brain stimulation OR deep brain electrical stimulation OR electrical stimulation treatment.

2.2 Selection criteria

Inclusion criteria included studies that met all of the following criteria: (1) adult patients diagnosed with advanced PD; (2) the experimental group received DBS combined with BMT whereas the control group received only BMT (dopamine-based medication); (3) reported cognitive functioning scales included, but were not limited to MMSE, Mattis Dementia Rating Scale (MDRS), and phonemic fluency; and (4) study designs were randomized controlled trials (RCTs) or cohort studies.

Exclusion criteria included studies if they met any of the following: (1) non-English language publications, (2) lack of availability of the full text, (3) absence of statistically available data; and (4) studies that were superseded by the most comprehensive or more recent publications when the trail was updated.

2.3 Outcome measures

PD is a neurological disease caused by a progressive decrease in nigrostriatal dopamine in the brain, also known as tremor paralysis. Internationally, in order to assess the severity of PD, it is classified into five stages based on the Hoehn-Yahr classification. Stage 0: asymptomatic. Stage 1: unilateral body is affected but not balance. Stage 2: body is affected bilaterally but not balance. Stage 3: balance is affected with mild to moderate clinical symptoms but the patient is able to live independently. Stage 4: mobility is severely impaired, but patients can walk and stand on their own. Stage 5: confined to bed or a wheelchair without help from others. DBS is not currently recommended for patients with early-stage PD in the guidelines [8], which is still in the clinical research stage. In this study, patients with advanced PD are defined as those with stage 3 or higher disease who require DBS.

DBS is a neurosurgical treatment that delivers continuous electrical stimulation through implanted electrodes in specific areas of the brain to modulate abnormal nerve activity. The DBS used in the study placed electrodes in the brain’s inner core, including the STN, GPi, and ventralis intermedius (VIM).

Specific scales measured included but not limited to the MMSE, MDRS, and phonemic fluency. The MMSE refers to the Brief Mental State Examination scale, which is a commonly used neuropsychological screening tool to assess an individual’s cognitive functioning, including intellectual status and the degree of cognitive decline. Higher MMSE scores indicate better cognitive function. If mean difference (MD) < 0, the statistical results tend to support the BMT group. The MDRS is primarily used to assess the presence and severity of dementia in an individual, as well as multiple indicators, such as attention and memory. Lower MDRS scores indicate better cognitive functioning. If MD < 0, the statistical results tend to favor the BMT group. Phonemic fluency is used to assess verbal fluency, a scale that measures an individual’s ability to correctly produce words beginning with specific letters or phonemes in a short period of time. Lower phonemic fluency scores indicate better language functioning. If MD < 0, the statistics tend to favor the BMT group.

2.4 Data extraction

Data extraction was performed independently by two researchers based on the inclusion criteria, utilizing a predefined checklist. In the event of discrepancies, the data were reviewed, and consensus was achieved through discussion. Extracted information encompassed study characteristics (authors, year of publication, country, sample size, treatment regimen, study design), patient demographics (age, gender, duration of disease), and cognitive function scales (MMSE, MDRS, and phonemic fluency, among others).

2.5 Quality assessment

Quality assessment was independently conducted by two researchers. RCTs were evaluated using the Cochrane Risk of Bias Assessment Tool, which includes criteria such as random sequence generation, allocation concealment, and blinding of participants, personnel, and outcome assessors. Cohort studies were assessed using the Newcastle-Ottawa Quality Assessment Scale, which includes three dimensions: selection, comparability, and outcomes, and has a maximum score of 9. In this study, studies with scores of 6 or higher were considered to be high quality.

2.6 Statistical analysis

Statistical analyses were performed using RevMan 5.3.0 (Cochrane Collaboration Review Manager). Dichotomous variables were assessed using MD and 95% confidence intervals (95% CI). Heterogeneity among studies was analyzed using the I² statistics, with I² < 25% indicating no heterogeneity, I² in the range of 25–50% indicating low heterogeneity, I² in the range of 50–75% indicating moderate heterogeneity, and I² > 75% indicating high heterogeneity. Random effect model was applied to studies with I² > 50%, while fixed effect model was applied to studies with I² ≤ 50%. Subgroup analyses were conducted based on the type of scales. All tests were two-sided, and P < 0.10 was considered potentially statistically significant [9] while P < 0.05 was considered statistically significant. If more than ten articles were included, publication bias was performed using the Begg’s test, and sensitivity was tested by excluding each study individually.

3 Results

3.1 Description of studies included

A comprehensive search of five electronic databases yielded 12,155 search terms. One additional term was obtained from other sources. After removing duplicates, 9,817 studies remained. Subsequent screening of titles and abstracts led to the exclusion of 9,735 studies due to non-compliance with the study criteria. Of the 82 studies considered further, 26 were excluded due to ineligible research subjects, 18 for not reporting relevant outcomes, and 20 due to the ineligible research methods. Ultimately, 18 studies fulfilled the inclusion criteria and were analyzed [1027] (Figure 1).

Figure 1 
                  Flow chart of study selection.
Figure 1

Flow chart of study selection.

3.2 Characteristics of patients and trials

The 18 studies, published between 2002 and 2023, involved 974 participants. The DBS assessed included STN, Gpi, and VIM, while the BMT consisted mainly of levodopa-based treatments. Seven of the studies were conducted in the US, four in Italy, two in the UK, two in Germany, one in Denmark, one in the Netherlands, and one in Chicago. Study designs included 7 RCTs, 11 cohort studies. Detailed characteristics of these studies are presented in Tables 1 and S1.

Table 1

Characteristics of all the studies included in the meta-analysis

Author Year Country Number Cognitive functioning scales Follow up (months) Study design
Experimental Control
Helle Just 2002 Denmark 11 13 PDQ-39 6 Prospective cohort study
H.M.M. Smeding 2006 Netherlands 99 36 RAVLT, Trial A, Stroop, category fluency, Trail B 6 Prospective cohort study
Roberto Cilia 2007 Italy 20 12 MMSE, category fluency, phonemic fluency 12 Prospective cohort study
Karsten Witt 2008 Germany 60 63 MDRS, phonemic fluency, semantic fluency 6 RCT
M.K. York 2008 USA 23 27 MMSE, MDRS, RAVLT, BVMT, Trial A, digit span, Stroop, Boston naming, letter fluency, Trail B 6 Prospective cohort study
Frances M. Weaver 2009 Chicago 121 134 MDRS, BVMT, Boston naming, category fluency, phonemic fluency 6 RCT
Laura B. Zahodne 2009 USA 22 19 Boston naming, category fluency 12 Retrospective cohort study
Roberta Zangaglia 2009 Italy 32 33 MMSE, digit span 36 Prospective cohort study
Ania Mikos 2010 USA 24 19 Trial A, Stroop, Trail B, JLO 16 Prospective cohort study
Adrian Williams 2010 UK 162 153 PDQ-39 12 RCT
Aristide Merola 2011 Italy 20 20 Digit span, phonemic fluency, Trail B 15 Retrospective cohort study
Amy E. Williams 2011 USA 19 18 MMSE, MDRS, RAVLT, BVMT, Trial A, digit span, Stroop, Boston naming, letter fluency, semantic fluency, Trail B 24 Prospective cohort study
Karsten Witt 2013 Germany 31 31 MDRS, letter fluency, semantic fluency 6 RCT
Aristide Merola 2014 Italy 19 16 Category fluency, phonemic fluency, trail B / Retrospective cohort study
David Charles 2014 USA 15 15 PDQ-39 24 RCT
Michael G. Tramontana 2015 USA 15 15 Digit span, Stroop, Boston naming, phonemic fluency, semantic fluency, JLO 24 RCT
Patric Blomstedt 2018 UK 9 10 PDQ-39 6 Prospective cohort study
Mallory L. Hacker 2023 USA 14 14 Digit span, Stroop, Boston naming, phonemic fluency, semantic fluency, JLO 60 RCT
Mallory L. Hacker 2023 USA 14 14 Digit span, Stroop, Boston naming, phonemic fluency, semantic fluency, JLO 60 RCT

RCT, randomized control trial; PDQ-39, Parkinson’s disease questionnaire-39; RAVLT, Rey Auditory Verbal Learning Test; MMSE, Mini-MENTAL State Examination; MDRS, Mattis Dementia Rating Scale; BVMT, Brief Visuospatial Memory; JLO, judgment of line orientation.

3.3 Quality assessment

Among the seven included RCTs, three were classified as “high risk” in selection bias due to small sample size and one was classified as “high risk” in attrition bias because of a few scale outcomes. However, all RCTs demonstrated “low risk” concerning allocation concealment, blinding of participants and personnel, blinding of outcome assessment, selective reporting of research results, and other bias (Figures S1 and S2). Among the 11 cohort studies, points were subtracted for issues such as insufficient comparability, inadequate outcome metrics, or insufficient length of follow-up. Finally, all studies scored 6 or higher (Table S2).

3.4 DBS effects on general ability

The MMSE was analyzed in four studies. Statistical results showed no significant difference in MMSE results between DBS and BMT groups (MD = −0.33, 95% CI: −0.83 to 0.16, P = 0.19, I 2 = 0%), as shown in Figure 2. The MDRS was analyzed in five studies. The statistical results showed that there was also no significant difference in the MDRS results between the DBS and BMT groups (MD = −0.75, 95% CI: −1.57 to 0.08, P = 0.08, I 2 = 0%), as shown in Figure 3.

Figure 2 
                  Forest plot of the relationship between DBS and the outcomes of MMSE.
Figure 2

Forest plot of the relationship between DBS and the outcomes of MMSE.

Figure 3 
                  Forest plot of the relationship between DBS and the outcomes of MDRS.
Figure 3

Forest plot of the relationship between DBS and the outcomes of MDRS.

3.5 Summary of all analyses by domain

In terms of memory functioning, Rey Auditory Verbal Learning Test (RAVLT) learning (P = 0.39), RAVLT delay recall (P = 0.90), Brief Visuospatial Memory (BVMT) learning scores (P = 0.17), and BVMT delay recall scores (P = 0.06) did not differ between the two groups. In terms of executive functioning, Trail B (P = 0.75), Stroop-color and word scores (P = 0.10) and Stroop-color scores (P = 0.07) were not significantly different between either group, as shown in Table 2.

Table 2

Summary of all the meta-analysis results, grouped by domains

Domain and comparison Number of studies MD 95% CI P-value I 2 (%) Effect model Supplementary information
General ability
MMSE 4 −0.33 −0.83 to 0.16 0.19 0 Fixed MD < 0, favors BMT
MDRS 5 −0.75 −1.57 to 0.08 0.08 0 Fixed MD < 0, favors BMT
Memory
RAVLT learning 3 −2.49 −8.19 to 3.22 0.39 73 Random MD < 0, favors BMT
RAVLT delay recall 3 −0.11 −1.82 to 1.59 0.90 60 Random MD < 0, favors BMT
BVMT learning 3 −2.86 −6.90 to 1.19 0.17 67 Random MD < 0, favors BMT
BVMT delay recall 3 −2.19 −4.43 to 0.05 0.06 60 Random MD < 0, favors BMT
Information processing
Trail A 4 2.63 −7.33 to 12.58 0.60 69 Random MD > 0, favors BMT
Digit span 6 −0.47 −1.25 to 0.31 0.24 56 Random MD < 0, favors BMT
Digit span-backward 3 −0.17 −0.68 to 0.34 0.51 0 Fixed MD < 0, favors BMT
Stroop-word 6 −1.95 −4.93 to 1.04 0.20 65 Random MD < 0, favors BMT
Language
Letter fluency 3 −6.11 −12.47 to 0.25 0.06 72 Random MD < 0, favors BMT
Phonemic fluency 7 −3.17 −6.04 to −0.29) 0.03 73 Random MD < 0, favors BMT
Category fluency 5 −1.61 −3.41 to 0.19 0.08 31 Fixed MD < 0, favors BMT
Semantic fluency 5 −1.10 −2.43 to 0.24 0.11 0 Fixed MD < 0, favors BMT
Boston naming 6 −0.46 −1.19 to 0.27 0.22 31 Fixed MD < 0, favors BMT
Executive function
Trail B 6 6.85 −35.98 to 49.69 0.75 88 Random MD > 0, favors BMT
Stroop-color 4 −1.33 −2.77 to 0.12 0.07 31 Fixed MD < 0, favors BMT
Stroop-color and word 6 −11.41 −3.08 to 0.27 0.10 0 Fixed MD < 0, favors BMT
Visuospatial
JLO 3 −0.23 −1.33 to 0.88 0.69 0 Fixed MD < 0, favors BMT
Others
PDQ-39 cognition 4 −5.06 −13.5 to 3.39 0.24 64 Random MD < 0, favors DBS
PDQ-39 communication 4 0.57 −3.48 to 4.62 0.76 0 Fixed MD > 0, favors BMT

MD, mean difference; 95% CI, 95% confidence intervals; MMSE, Mini-MENTAL State Examination; MDRS, Mattis Dementia Rating Scale; RAVLT, Rey Auditory Verbal Learning Test; BVMT, Brief Visuospatial Memory; JLO, judgment of line orientation; PDQ-39, Parkinson’s disease questionnaire-39; BMT, best medical therapy; DBS, deep brain stimulation.

In language, seven studies analyzed phonemic fluency, notably the scores in the DBS group were significantly lower than those in the BMT group (MD = −3.17, 95% CI: −6.04 to −0.29), P = 0.03, I 2 = 73%). The statistical results tended to favor the BMT group, as shown in Figure 4. The scores of semantic fluency (P = 0.11), Boston naming (P = 0.22), letter fluency (P = 0.06), and category fluency (P = 0.08) did not differ between the two groups, as shown in Table 2.

Figure 4 
                  Forest plot of the relationship between DBS and the outcomes of phonemic fluency.
Figure 4

Forest plot of the relationship between DBS and the outcomes of phonemic fluency.

In terms of information processing, scores on the Trail A (P = 0.60), Digit span (P = 0.24), Digit span-backward (P = 0.51), and Stroop-word (P = 0.20) did not differ significantly between the two groups. In terms of visuospatial, judgment of line orientation (JLO) (P = 0.69) scores did not differ significantly between the two groups. In addition to the above scales, the Parkinson’s disease questionnaire-39 (PDQ-39) is also an important tool for evaluating cognitive function. The scores of PDQ-39 cognition (P = 0.24) and PDQ-39 communication (P = 0.76) did not differ significantly between the two groups, as shown in Table 2.

4 Discussion

An increasing number of studies have focused on the therapeutic efficacy and safety of DBS in PD patients [28,29]. There have also been a number of animal studies attempting to find the cause of the improvement in cognitive function in animals by brain stimulation [30,31]. However, whether DBS impairs cognitive function while improving the motor function remains controversial [32,33]. Based on this, this meta-analysis aims to explore the effects of DBS on cognitive function in PD patients, compared to BMT. The results of this study showed that, overall, DBS poses a potential risk to patients’ cognitive functioning, particularly in the phonemic fluency scale, which represents language ability. Also, it showed no possible advantage in the MMSE and MDRS scales, which represent general ability. The BVMT scale (represents memory ability), Stroop scale (represents executive ability), letter fluency scale, and category fluency scale (represents language ability) showed that patients undergoing DBS would have more potential cognitive harms than BMT, although the differences did not reach statistical significance.

The cerebral cortex is the main executive area of cognitive function, and damage or lesions in different areas can lead to different cognitive problems. DBS is a treatment that regulates abnormal neural electrical activity by sending electrical pulses to the associated neural nuclei that control movement through electrodes implanted in the brain, i.e., it can excite abnormal neural nuclei to compensate for the problems caused by neuronal degeneration and loss [34]. However, neural nuclei in a given cortex will inevitably be affected during the stimulation. The prefrontal cortex is closely related to executive function [35]. Damage to the prefrontal cortex will lead to executive dysfunction, mainly manifested as inattention, decreased planning, and decision-making ability. The temporal cortex is closely related to memory function [36]. Damage to the temporal lobe, especially in the hippocampus, can lead to a decline in memory function. However, there are also studies showing that stimulation of the CA3 subregion of the rat hippocampus can help improve memory function in rats with post-traumatic stress disorder [37]. Thus, it seems that further triage of targets and exploration of new targets for DBS targets is worth continuing research.

Studies have shown that after DBS, the functional connections between the bilateral sensorimotor cortex, the right occipital lobe, and the putamen are significantly reduced. In this study, some scales showed potential negative effects of DBS on executive and partial memory functions. The possible reasons include the following: first, DBS can bring about disturbances in neural networks. In a mouse study, van den Boom et al. found that DBS reduces hyperconnectivity between the prefrontal cortex and the striatum, and that this altered connectivity negatively affects memory-related neural networks [38]. Second, DBS may affect the metabolism and release of neurotransmitters. It has been found that high-frequency stimulation leads to depletion or altered release kinetics of presynaptic neurotransmitter vesicles, which further affects neuronal firing patterns and leads to a decline in memory and executive function [39]. Third, DBS may affect sleep architecture and memory consolidation processes during sleep. Hong et al. verified that DBS interfered with prefrontal cortex activity during rapid eye movement sleep by optogenetic means, directly affecting executive function and impairing memory consolidation [40]. In addition, the results of the study by Weinkle et al. were similar to ours [41]. By analyzing the preoperative and ≥6 month postoperative neuropsychological assessment scores of 43 PD patients, they found that cognitive measures such as executive function and memory showed decline after DBS.

Language activity has an extremely complex brain mechanism, which is closely related to different parts of the brain, such as Wernicke’s area, Broca’s area, and angular gyrus [42]. This study included a variety of scales to measure language function. The results of our scale show that there is impairment of language function by DBS. However, it has also been found that DBS improves language function [43]. The reason for the results may be that the scale measuring language function is difficult to operate and depends on the subjective judgment of the operator, which is prone to deviation due to the different experience and observation angle of the evaluator [44,45]. In addition, because of the large number of blocks in the cortex that dominate language, the functional blocks that different scales focus on assessing may be slightly different. For example, letter fluency mainly relies on neural pathways such as the left dorsal prefrontal gyrus and the superior longitudinal fasciculus [46]. This scale requires patients to say as many words beginning with a certain letter as possible in a given period of time, a process that requires the participation of executive functions and language retrieval abilities. Similarly, the completion of semantic fluency also depends on the neural network connection between the prefrontal cortex and the temporal lobe [47]. This is consistent with the results of the present study that DBS can lead to a decline in executive and memory functions.

Whelan et al. found a significant advantage for DBS in enhancing language functioning through the phonemic fluency scale and bilateral STN-DBS may help improve proficiency in the basal-upper cortical language circuit over time [43]. In addition to the above reasons, it should not be ignored that the improvement of motor function in PD patients will further reduce the impairment of verbal fluency [45]. For example, a reduction in laryngeal muscle tremor may improve articulation and fluency. However, the results of the phonemic fluency scale in this study contradicted it. This may be because while DBS modulates motor functions, its targets are also adjacent to these linguistic networks of the left prefrontal–thalamic pathway. Stimulation may indirectly interfere with the process of speech retrieval [48]. Moreover, the frontal-striatal pathway, on which speech fluency is dependent, is sensitive to stimulation. And high-frequency stimulation may inhibit nonmotor networks [49].

Luo et al.’s study obtained fMRI and relatively complete cognitive scale data from 37 PD patients before and after DBS surgery. They found that the scores of general function, information processing ability, and visual space decreased in a short time after DBS surgery, which they thought might be related to the microdamage effect of surgery [50]. However, in the long-term outcome, these functions tended to improve. Our results found no significant differences in general functioning, information processing ability, and visuospatial functioning between the two groups, which may be related to postoperative time according to Luo et al.

Overall, there are some side effects of DBS on patients’ cognitive functions, especially in language functions, where DBS has a significant impairing effect. A number of studies have found that after DBS, patients are prone to mental problems, such as high mood or anxiety and depression [51,52]. In view of this, the use of DBS needs to be emphasized on its side effects and strictly regulated according to the guidelines.

As a conventional type of treatment, DBS has been proved to be effective in the improvement of movement disorders. The main advantage of this study is to explore the effect of DBS on the cognitive function of PD patients, which is informative in the exploration of its safety. Also, this study includes studies from 2002 to 2023, and the results are more universal. However, there are some limitations in this study. First, due to the different types of studies included, as well as the presence of racial differences, different severity of illness, and different drug treatment doses among the subjects included, which inevitably leads to heterogeneity. For example, the scale like phonemic fluency, which is an observational scale, is unavoidable with variations in assessment across studies. Second, subgroup analyses of follow-up time are in need, but additional subgroup analyses were not possible owing to the limited number of included studies. Finally, there were limited RCTs in the included studies, lowering the level of evidence.

5 Conclusion

This meta-analysis found that DBS may have potential adverse effects on memory and executive function in the treatment of PD, and a significant detrimental effect on language function. However, larger multicenter RCTs are needed to explore these results.

Abbreviations

BMT

best medical therapy

BVMT

Brief Visuospatial Memory

DBS

deep brain stimulation

GPi

globus pallidus

JLO

judgment of line orientation

MD

mean difference

MDRS

Mattis Dementia Rating Scale

MMSE

Mini-MENTAL State Examination

PD

Parkinson’s disease

PDQ-39

Parkinson’s disease questionnaire-39

RAVLT

Rey Auditory Verbal Learning Test

RCT

randomized controlled trial

STN

stimulation of the subthalamic nucleus

VIM

ventralis intermedius

95% CI

95% confidence intervals


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Acknowledgments

Not applicable.

  1. Funding information: The study received no fund support.

  2. Author contributions: Each author contributed significantly to the conception and development of the present article. L.S. designed the research process; M.Q. searched the database for corresponding articles and extracted useful information from the articles above; Y.G., H.Z., and L.F. used statistical software for analysis; Y.G. and G.L. drafted the meta-analysis. All authors have read and approved the final manuscript.

  3. Conflict of interest: The authors declare no competing interests.

  4. Data availability statement: The datasets supporting this article’s conclusions are included within the article and its additional files.

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Received: 2025-05-14
Revised: 2025-07-25
Accepted: 2025-08-29
Published Online: 2025-10-09

© 2025 the author(s), published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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  187. Plant polyphenols, terpenes, and terpenoids in oral health
  188. Laboratory medicine between technological innovation, rights safeguarding, and patient safety: A bioethical perspective
  189. End-of-life in cancer patients: Medicolegal implications and ethical challenges in Europe
  190. The maternal factors during pregnancy for intrauterine growth retardation: An umbrella review
  191. Intra-abdominal hypertension/abdominal compartment syndrome of pediatric patients in critical care settings
  192. PI3K/Akt pathway and neuroinflammation in sepsis-associated encephalopathy
  193. Screening of Group B Streptococcus in pregnancy: A systematic review for the laboratory detection
  194. Giant borderline ovarian tumours – review of the literature
  195. Leveraging artificial intelligence for collaborative care planning: Innovations and impacts in shared decision-making – A systematic review
  196. Cholera epidemiology analysis through the experience of the 1973 Naples epidemic
  197. Risk factors of frailty/sarcopenia in community older adults: Meta-analysis
  198. Supplement strategies for infertility in overweight women: Evidence and legal insights
  199. Scurvy, a not obsolete disorder: Clinical report in eight young children and literature review
  200. A meta-analysis of the effects of DBS on cognitive function in patients with advanced PD
  201. Protective role of selenium in sepsis: Mechanisms and potential therapeutic strategies
  202. Strategies for hyperkalemia management in dialysis patients: A systematic review
  203. C-reactive protein-to-albumin ratio in peripheral artery disease
  204. Research progress on autophagy and its roles in sepsis induced organ injury
  205. Neuronutrition in autism spectrum disorders
  206. Pumilio 2 in neural development, function, and specific neurological disorders
  207. Antibiotic prescribing patterns in general dental practice- a scoping review
  208. Clinical and medico-legal reflections on non-invasive prenatal testing
  209. Smartphone use and back pain: a narrative review of postural pathologies
  210. Targeting endothelial oxidative stress in hypertension
  211. Exploring links between acne and metabolic syndrome: a narrative review
  212. Case Reports
  213. Delayed graft function after renal transplantation
  214. Semaglutide treatment for type 2 diabetes in a patient with chronic myeloid leukemia: A case report and review of the literature
  215. Diverse electrophysiological demyelinating features in a late-onset glycogen storage disease type IIIa case
  216. Giant right atrial hemangioma presenting with ascites: A case report
  217. Laser excision of a large granular cell tumor of the vocal cord with subglottic extension: A case report
  218. EsoFLIP-assisted dilation for dysphagia in systemic sclerosis: Highlighting the role of multimodal esophageal evaluation
  219. Molecular hydrogen-rhodiola as an adjuvant therapy for ischemic stroke in internal carotid artery occlusion: A case report
  220. Coronary artery anomalies: A case of the “malignant” left coronary artery and its surgical management
  221. Combined VAT and retroperitoneoscopy for pleural empyema due to nephro-pleuric fistula in xanthogranulomatous pyelonephritis
  222. A rare case of Opalski syndrome with a suspected multiple sclerosis etiology
  223. Newly diagnosed B-cell acute lymphoblastic leukemia demonstrating localized bone marrow infiltration exclusively in the lower extremities
  224. Rapid Communication
  225. Biological properties of valve materials using RGD and EC
  226. A single oral administration of flavanols enhances short-term memory in mice along with increased brain-derived neurotrophic factor
  227. Repeat influenza incidence across two consecutive influenza seasons
  228. Letter to the Editor
  229. Role of enhanced external counterpulsation in long COVID
  230. Expression of Concern
  231. Expression of concern “A ceRNA network mediated by LINC00475 in papillary thyroid carcinoma”
  232. Expression of concern “Notoginsenoside R1 alleviates spinal cord injury through the miR-301a/KLF7 axis to activate Wnt/β-catenin pathway”
  233. Expression of concern “circ_0020123 promotes cell proliferation and migration in lung adenocarcinoma via PDZD8”
  234. Corrigendum
  235. Corrigendum to “Empagliflozin improves aortic injury in obese mice by regulating fatty acid metabolism”
  236. Corrigendum to “Comparing the therapeutic efficacy of endoscopic minimally invasive surgery and traditional surgery for early-stage breast cancer: A meta-analysis”
  237. Corrigendum to “The progress of autoimmune hepatitis research and future challenges”
  238. Retraction
  239. Retraction of “miR-654-5p promotes gastric cancer progression via the GPRIN1/NF-κB pathway”
  240. Retraction of: “LncRNA CASC15 inhibition relieves renal fibrosis in diabetic nephropathy through downregulating SP-A by sponging to miR-424”
  241. Retraction of: “SCARA5 inhibits oral squamous cell carcinoma via inactivating the STAT3 and PI3K/AKT signaling pathways”
  242. Special Issue Advancements in oncology: bridging clinical and experimental research - Part II
  243. Unveiling novel biomarkers for platinum chemoresistance in ovarian cancer
  244. Lathyrol affects the expression of AR and PSA and inhibits the malignant behavior of RCC cells
  245. The era of increasing cancer survivorship: Trends in fertility preservation, medico-legal implications, and ethical challenges
  246. Bone scintigraphy and positron emission tomography in the early diagnosis of MRONJ
  247. Meta-analysis of clinical efficacy and safety of immunotherapy combined with chemotherapy in non-small cell lung cancer
  248. Special Issue Computational Intelligence Methodologies Meets Recurrent Cancers - Part IV
  249. Exploration of mRNA-modifying METTL3 oncogene as momentous prognostic biomarker responsible for colorectal cancer development
  250. Special Issue The evolving saga of RNAs from bench to bedside - Part III
  251. Interaction and verification of ferroptosis-related RNAs Rela and Stat3 in promoting sepsis-associated acute kidney injury
  252. The mRNA MOXD1: Link to oxidative stress and prognostic significance in gastric cancer
  253. Special Issue Exploring the biological mechanism of human diseases based on MultiOmics Technology - Part II
  254. Dynamic changes in lactate-related genes in microglia and their role in immune cell interactions after ischemic stroke
  255. A prognostic model correlated with fatty acid metabolism in Ewing’s sarcoma based on bioinformatics analysis
  256. Red cell distribution width predicts early kidney injury: A NHANES cross-sectional study
  257. Special Issue Diabetes mellitus: pathophysiology, complications & treatment
  258. Nutritional risk assessment and nutritional support in children with congenital diabetes during surgery
  259. Correlation of the differential expressions of RANK, RANKL, and OPG with obesity in the elderly population in Xinjiang
  260. A discussion on the application of fluorescence micro-optical sectioning tomography in the research of cognitive dysfunction in diabetes
  261. A review of brain research on T2DM-related cognitive dysfunction
  262. Metformin and estrogen modulation in LABC with T2DM: A 36-month randomized trial
  263. Special Issue Innovative Biomarker Discovery and Precision Medicine in Cancer Diagnostics
  264. CircASH1L-mediated tumor progression in triple-negative breast cancer: PI3K/AKT pathway mechanisms
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