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SYSTEMATIC REVIEW article

Front. Hum. Neurosci., 29 August 2025

Sec. Brain Imaging and Stimulation

Volume 19 - 2025 | https://doi.org/10.3389/fnhum.2025.1649726

This article is part of the Research TopicDeep Brain Stimulation: Pioneering Strategies for Improving Functional Performance and Mitigating Aggressiveness in Patients with Neurodevelopmental DisordersView all 3 articles

Global trends and research gaps in deep brain stimulation for neurodevelopmental disorders: a scientometrics exploration of functional and behavioral outcomes

Mnica Acua-Rodriguez
Mónica Acuña-Rodriguez1*Kevin Fernando Montoya-QuinteroKevin Fernando Montoya-Quintero2Fabriccio J. Visconti-LopezFabriccio J. Visconti-Lopez3Judith Cristina Martinez-Royert
Judith Cristina Martinez-Royert4*
  • 1Universidad de la Costa, Barranquilla, Colombia
  • 2Facultad de Ciencias para la Salud, Universidad de Manizales, Manizales, Colombia
  • 3Universidad Científica Del Sur, Lima, Peru
  • 4Facultad de Ciencias de la Salud, Centro de Investigaciones en Ciencias de la Vida, Universidad Simón Bolívar, Barranquilla, Colombia

Introduction: Deep brain stimulation has emerged as a potential intervention for improving functional outcomes and behavioral regulation in individuals with neurodevelopmental disorders. However, the extent to which these clinical endpoints have been systematically studied remains unclear.

Methods: A comparative scientometrics analysis was conducted to map the research landscape on deep brain stimulation in neurodevelopmental disorders (n = 833 publications) and a focused subset addressing functional performance and aggressiveness (n = 52). We used Bibliometrix in R and Matplotlib in Python to analyze studies published between 1996 and June 2025.

Results: We found a sustained increase in publication volume since 1996, but only 6.2% of studies explicitly addressed functional or behavioral endpoints. Clinical trials and systematic reviews were underrepresented in both datasets (1.20 and 3.12% in the general analysis; 0 and 7.69% in the subset, respectively). High-income countries dominated scientific production, with minimal contributions from lower-income regions. In the focused subset, Colombia emerged among the top 3 most productive countries. Keyword analyses revealed a thematic concentration on diagnostic categories rather than outcome-based evidence.

Discussion: These findings highlight critical research gaps and suggest a misalignment between current scientific focus and the clinical potential of deep brain stimulation in neurodevelopmental disorders. Future studies should focus on functional improvement and behavioral modulation to bridge this divide and support the development of evidence-based, patient-centered applications of deep brain stimulation in individuals with neurodevelopmental disorders.

1 Introduction

Deep brain stimulation (DBS) has emerged as a promising therapeutic intervention in a variety of neuropsychiatric conditions (Krauss et al., 2021), offering potential benefits in domains traditionally considered difficult to treat pharmacologically or behaviorally (Krauss et al., 2021). Among these, neurodevelopmental disorders represent a particularly complex frontier (Chen et al., 2024), not only due to their heterogeneous presentations and early onset but also because of the chronic nature and multifactorial etiology that underlie functional impairments and behavioral dysregulation (Chen et al., 2024). In recent years, DBS has been increasingly explored as a strategy to improve adaptive functioning and reduce pathological aggressiveness in this population, signaling a paradigm shift from symptomatic control to functional restoration (Tremblay- McGaw et al., 2025).

Despite this growing clinical interest, little is known about how the scientific landscape has evolved in this domain. Specifically, there is a lack of systematic understanding of the volume, focus, and direction of research efforts that have sought to connect DBS with neurodevelopmental disorders, let alone those targeting key outcomes such as functional performance and behavioral regulation (Liu et al., 2022). Such knowledge is crucial not only to map current evidence but also to identify underexplored areas, theoretical, knowledge or methodological gaps, and opportunities for innovation in both clinical and translational neuroscience (Lozada-Martinez et al., 2025a,b; Lozada-Martinez et al., 2024).

This study does not evaluate clinical effectiveness but rather maps the global research trends through scientometrics methods. Previous efforts have partially explored the topic from a clinical standpoint (Chen et al., 2024; Tremblay- McGaw et al., 2025), but a comprehensive bibliometric perspective remains lacking. The absence of such analysis constitutes a methodological blind spot in the literature, particularly given the increasing need for data-informed strategies to prioritize research funding, clinical trials, and collaborative efforts across disciplines (Lozada-Martinez et al., 2025a,b).

In this review, we address this gap by conducting a dual-layered scientometrics analysis. First, we explore the overall scientific output connecting DBS with neurodevelopmental disorders over the past three decades. Second, we focus specifically on studies linking DBS to functional performance and aggressiveness, with the aim of identifying knowledge gaps and underrepresented research themes. Our findings offer a meta-research lens through which to assess the current state of the field and illuminate strategic directions for future investigation and clinical translation.

2 Methods

A comprehensive and systematic search according to PRISMA guideline (Page et al., 2021) was conducted across three major scientific databases: Scopus, Web of Science Core Collection, and PubMed, to capture the broadest possible representation of the global scientific output on DBS in neurodevelopmental disorders. The search included all indexed records up to June 12 2025, with no restrictions on language or country of origin.

The search strategy was designed using controlled vocabulary (MeSH terms in PubMed) and free-text terms, based on validated descriptors and expert consultation. Synonyms and variations were incorporated for all key concepts, including DBS (MeSH Unique ID: D046690), neurodevelopmental disorders (MeSH Unique ID: D065886), physical functional performance (MeSH Unique ID: D000076604), and aggression (MeSH Unique ID: D000374). Boolean operators, truncation rules and field tags were adapted for each database to ensure consistency across platforms.

As an example, the following search strings were used in Scopus to retrieve the datasets included in this study:

A. General search (DBS and neurodevelopmental disorders): TITLE-ABS-KEY (“deep brain stimulation*” OR “electrical stimulation of the brain” AND NOT rat OR mouse OR mice OR rodent OR “animal model*”) AND TITLE-ABS-KEY (“neurodevelopmental disorder*” OR “mental disorder* usually diagnosed in infancy” OR “mental disorder* diagnosed in childhood” OR “child mental disorder*” OR “child behavior disorder*” OR “pervasive child development disorder*” OR “developmental disabilit*” OR “intellectual disabilit*” OR “learning disabilit*” OR “specific learning disorder” OR “speech sound disorder” OR “communication disorder*” OR “social communication disorder” OR “childhood-onset fluency disorder” OR “autism spectrum disorder” OR “reactive attachment disorder” OR “mutism” OR “sluggish cognitive tempo” OR “oppositional defiant disorder” OR “conduct disorder” OR “attention deficit disorder with hyperactivity” OR “attention deficit and disruptive behavior disorder*” OR “separation anxiety” OR “motor skills disorder*” OR “tic disorder*” OR “tourette syndrome” OR “stereotypic movement disorder” OR “childhood schizophrenia”).

B. Focused sub-analysis (including functional performance and aggressiveness): TITLE-ABS-KEY (“deep brain stimulation*” OR “electrical stimulation of the brain” AND NOT rat OR mouse OR mice OR rodent OR “animal model*”) AND TITLE-ABS-KEY (“neurodevelopmental disorder*” OR “mental disorder* usually diagnosed in infancy” OR “mental disorder* diagnosed in childhood” OR “child mental disorder*” OR “child behavior disorder*” OR “pervasive child development disorder*” OR “developmental disabilit*” OR “intellectual disabilit*” OR “learning disabilit*” OR “specific learning disorder” OR “speech sound disorder” OR “communication disorder*” OR “social communication disorder” OR “childhood-onset fluency disorder” OR “autism spectrum disorder” OR “reactive attachment disorder” OR “mutism” OR “sluggish cognitive tempo” OR “oppositional defiant disorder” OR “conduct disorder” OR “attention deficit disorder with hyperactivity” OR “attention deficit and disruptive behavior disorder*” OR “separation anxiety” OR “motor skills disorder*” OR “tic disorder*” OR “tourette syndrome” OR “stereotypic movement disorder” OR “childhood schizophrenia”) AND [TITLE-ABS-KEY (“physical functional performance” OR “physical functional performances” OR “functional performance” OR “functional performances” OR “physical performance” OR “physical performances”) OR TITLE-ABS-KEY (aggression OR aggressiveness)].

Records retrieved from the three databases were merged, and duplicates were removed manually and through automated filtering in Microsoft Excel (version 2019). Conference papers, errata, early access articles, books, book chapters, book series, and non-peer-reviewed materials were excluded. Data extraction and standardization were independently performed and cross-validated by two researchers to ensure accuracy and consistency. Discrepancies were resolved through consensus.

From the final dataset, the following bibliographic metadata were extracted: title, year of publication, journal name, citation count, author keywords, funding source, country of the corresponding author, geographic region, income group, language, and document type. These fields were selected to facilitate multidimensional scientometrics analysis encompassing productivity, impact, and thematic focus. All data were manually verified and standardized to ensure consistency, particularly in fields such as keywords, country names, and institutional affiliations.

The variables were defined as follows: “Funding” referred to whether the publication explicitly reported financial support from any institution or grant. “Study type” was categorized based on document type into original articles, reviews, and others. “Impact” was operationalized using citation count as a proxy indicator.

The countries of the corresponding authors were additionally classified according to geographic regions and income groups, following the most recent classification published by The World Bank (2024). This enabled stratified analyses of global contributions and research equity across different economic and geographic contexts.

The analysis was conducted in two phases:

1. A general analysis of the full body of literature on DBS in neurodevelopmental disorders.

2. A focused sub-analysis on the subset of studies explicitly addressing functional performance and/or aggressiveness within the same context.

Descriptive statistical analyses were performed using the R programming language (version 4.3.1) (Chan, 2018), employing the Bibliometrix package and base R functionalities. Matplotlib in Python (version 3.9) were used for visualization. Frequencies and percentages were computed for all categorical variables. Publication and citation trends were visualized using combined bar-line and area charts styled for clarity and interpretability. Word frequency and co-occurrence analyses were performed on the author keywords to explore thematic evolution and identify research hotspots.

This study involved only publicly available bibliometric data and did not include human subjects, biological samples, or any individual-level information. Therefore, ethical approval from an institutional review board or ethics committee was not required.

3 Scientific output on DBS in neurodevelopmental disorders

3.1 Baseline characteristics and publication trends

Initially, 1830 results were identified, of which 833 were analyzed after the application of exclusion criteria (Figure 1). An examination of document types revealed that the majority of contributions were original research articles (51.6%) and review papers (35.7%). Other formats, such as letters (5.8%), notes (3.4%), and editorials (2.4%), represented a smaller fraction of the scientific discourse (Table 1). Notably, only 1.20% (n = 10) were identified as clinical trials, and 3.12% (n = 26) were classified as systematic reviews (Table 1). This finding underscores the predominance of observational or exploratory studies in the field and highlights a potential gap in high-level evidence synthesis and interventional research.

Figure 1
Flowchart showing the identification and screening process of studies. Initially, 1,830 records are identified from PubMed/MEDLINE, Web of Science, and Scopus. After removing 797 records due to duplication, ineligibility by automation, or document typology, 1,033 records are screened. Out of these, 189 are excluded by title and abstract, leaving 844 reports sought for retrieval. Eight reports are not retrieved, and 836 are assessed for eligibility. Three reports are excluded for being out of scope, resulting in 833 studies included in the analysis.

Figure 1. PRISMA flow diagram of study selection process for the review on deep brain stimulation in neurodevelopmental disorders.

Table 1
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Table 1. Characteristics of the scientific publications on DBS in neurodevelopmental disorders, with a comparative subset focusing on functional performance and aggressiveness (1996–2025).

Regarding publication trends over time, the number of articles has increased steadily, with notable growth after 2007 and a sharp rise observed in 2021 and early 2024 (Figure 2a). Citation counts also increased over the years, with earlier publications contributing more significantly to cumulative citations (Figure 2a), while more recent outputs have not yet reached their full citation potential. Importantly, it should be noted that the total number of articles for 2025 has not yet been finalized, as the year remains ongoing. This temporal limitation implies that both citation trends and publication volumes for the current year may still evolve, potentially altering the observed patterns over time.

Figure 2
(a) A line graph shows the frequency of abstracts from 1996 to 2025 with overlapping areas in red and blue, indicating total citations. (b) A horizontal bar chart lists keywords such as “Tics” and “Dystonia,” showing their frequency up to 70. (c) Another line graph depicts the frequency of documents from 2004 to 2025 with purple and green areas, indicating total citations. (d) A horizontal bar chart lists mental disorders, with frequencies up to 10, including “Obsessive Compulsive Disorder” and “Tourette Syndrome.”

Figure 2. Trends and thematic characterization of scientific research on DBS in the context of neurodevelopmental disorders. (a) Annual trends in publication frequency (blue) and total citations (red) for studies addressing DBS in neurodevelopmental disorders, from 1996 to 2025 (n = 833). (b) Word cloud showing the most frequent keywords associated with DBS in neurodevelopmental disorders, excluding general descriptors to highlight specific thematic focuses. (c) Annual publication trends (green) and total citations (violet) for studies combining DBS and neurodevelopmental disorders with a focus on functional performance and aggressiveness (n = 52). (d) Most frequently occurring keywords in the subset of studies represented in panel (c), reflecting the dominant research topics explored within this more specific thematic intersection.

3.2 Geographical and economic distribution

The analysis of geographic distribution by country showed that the United States (26.77%) led the scientific output, followed by Germany (10.2%), France (6.36%), and China (5.76%) (Table 1). These countries represent hubs of both technological innovation in neuromodulation and clinical research infrastructure. When grouped by geographic region, the majority of publications originated from Europe & Central Asia (37.58%), North America (31.09%), and East Asia & Pacific (11.52%) (Table 1). These regions also correspond to areas with robust research institutions and funding ecosystems. Similarly, in terms of income classification, high-income countries were the predominant contributors, accounting for over 75% of all publications. This finding underscores the existing disparities in global research capacity and access to advanced neuromodulators interventions such as DBS.

Concerning language of publication, English was overwhelmingly dominant, representing 92.8% of the total, followed by German (2.16%) and Chinese (1.08%) (Table 1). This reflects both the global orientation of the field and the predominance of English as the standard language of scientific communication.

3.3 Funding patterns

In terms of funding, approximately 36% of the publications explicitly reported receiving financial support (Table 1). This suggests that while a significant share of the research in this field is supported by grants, a considerable portion may still be conducted independently or without reported funding, which may have implications for research scope and methodological depth.

3.4 Thematic analysis

Thematic analysis based on keyword frequency revealed that current research on DBS in neurodevelopmental disorders has been primarily oriented in neurodegenerative diseases and clinical manifestations. Terms such as dystonia, Parkinson’s diseases, movement disorders, epilepsy, and tremor appeared most frequently (Figure 2b), suggesting a focus on populations with severe symptomatology or refractoriness to conventional treatments.

4 Scientific output on functional performance and aggressiveness in neurodevelopmental disorders treated with DBS

4.1 Baseline characteristics and publication trends

Initially, 91 results were identified, of which 52 were analyzed after the application of exclusion criteria (Figure 3). Regarding document types, the majority were either review articles (n = 26; 50%) or original research articles (n = 23; 44.23%), while other types such as letters (3.9%) and editorials (1.9%) were less common (Table 1). No clinical trials were identified and only 4 (7.69%) systematic reviews were found (Table 1). Although slightly higher in relative terms, these values still reflect a limited presence of rigorous interventional and evidence synthesis studies in this focused research niche.

Figure 3
Flowchart of study selection process. **Identification**: 91 records identified (PubMed: 19, Web of Science: 17, Scopus: 55); 29 records removed (duplicates: 21, ineligible by automation: 4, document typology: 4). **Screening**: 62 records screened; 6 excluded by title/abstract; 56 reports sought; 3 not retrieved. **Eligibility**: 53 reports assessed; 1 excluded (out of scope). **Included**: 52 studies in analysis.

Figure 3. PRISMA flow diagram of study selection process for publications on deep brain stimulation in neurodevelopmental disorders addressing functional performance and/or aggressiveness.

In terms of temporal trends, the number of publications showed a modest increase over time, with publication activity peaking in 2021 (Figure 2c). Citation accumulation remained relatively low across the dataset, consistent with the recent emergence of many of the included studies (Figure 2c). The total citation count per year remains limited, with earlier years contributing marginally due to the recent character of this research focus.

4.2 Funding patterns

Regarding funding, 25% explicitly reported having received financial support, while the remaining 75% either lacked funding or did not disclose it (Table 1). This suggests a non-balanced distribution between funded and non-funded scientific output, which may reflect early-stage exploration of the topic by both institutional and independent researchers.

4.3 Geographical and economic distribution

Geographically, the United States was the most represented country (15.38%), followed by United Kingdom (13.46%), Colombia (11.54%), Netherlands (9.62%), and China (9.62%) (Table 1). This distribution mirrors broader trends in neuromodulation research and highlights key hubs for scientific output. When grouped by world regions, Europe & Central Asia (48.08%) and North America (21.15%) accounted for the largest shares of publications, followed by Latin America & Caribbean (19.23%) (Table 1). In terms of income classification, the vast majority of contributions originated from high-income countries (75%), with minimal participation from upper-middle-income economies (23.08%) and none from low-income countries (Table 1).

4.4 Thematic analysis

In the focused subset, keywords remained predominantly diagnosis-driven, with obsessive compulsive disorders, Tourette syndrome, and psychosurgery among the most recurrent terms. While some outcome-oriented constructs such as intellectual disability, safety and efficacy were represented (Figure 2d), the overall thematic orientation still favored the clinical profile of patients over the specific functional or behavioral outcomes targeted by DBS as expected in neuroscientific research, English was the dominant language of publication, representing 92.31% of the documents analyzed, followed by Japanese (3.85%) (Table 1).

5 Discussion

Despite the growing scientific interest in DBS for neurodevelopmental disorders, our findings reveal a notable underrepresentation of high-level evidence across both the general and focused analyses. Only 1.20% of the total publications on DBS in neurodevelopmental disorders were clinical trials, and 3.12% consisted of systematic reviews. This limitation was even more intense in the sub-analysis, where no clinical trials were identified, and there are only four systematic reviews. These results demonstrate that the available evidence that might be required to justify interventions in this field remains disproportionately low, relative to the translational relevance and clinical expectations (Shea et al., 2025).

The near-absence of clinical trials severely limits the development of evidence-based guidelines for DBS in neurodevelopmental disorders. This scarcity not only affects clinical decision-making but also hampers innovation in outcome measurement, safety profiling, and patient selection criteria. Compared to the well-established evidence base for pharmacological and behavioral therapies in neurodevelopmental disorders, DBS remains largely experimental. This contrast further underscores the need for high-quality interventional research in this domain.

This gap suggests that most contributions to the field remain exploratory or observational in nature, often lacking the methodological rigor needed to support clinical decision-making or guideline development (Moosapour et al., 2021). The scarcity of structured evidence synthesis impairs the capacity of the field to identify replicable mechanisms of action, patient selection criteria, or optimal stimulation parameters (Alqaidoom et al., 2023). If DBS is to fulfill its promise in reshaping neurodevelopmental care, particularly in challenging behavioral contexts, the field must embrace a more systematic, trial-based, and review-driven approach to knowledge production (Moosapour et al., 2021).

These findings also highlight persistent inequalities in the global distribution of research on DBS in neurodevelopmental disorders. High-income countries in North America and Western Europe continue to dominate scientific production, while contributions from low- and middle-income regions remain rare or nonexistent. This imbalance, consistently observed in both datasets, raises concerns about the generalizability of findings, as well as the ethical and practical implications of excluding vast portions of the global population from innovation pipelines (Naqvi et al., 2024).

However, Colombia (11.54%) emerged as a key contributor in the focused subset, surpassing traditional research leaders like France and Germany. Notably, most studies from Colombia were unfunded, highlighting the potential of emerging research hubs in Latin America despite limited financial resources. High-income countries accounted for 75% of the studies; however, only 25% of the subset received reported funding, suggesting limited financial support even in dominant regions. To address these geographic disparities, south–south scientific collaborations, inclusion in global funding mechanisms, and the development of regional neurotechnological networks are essential. Strengthening institutional capacity in low- and middle-income countries could help bridge the translational divide.

In the context of neurodevelopmental disorders, which frequently intersect with social vulnerability, healthcare disparities, and limited access to advanced interventions (Patrick et al., 2025), this exclusion is particularly problematic (Raouafi et al., 2018). Without proactive efforts to promote inclusivity in research funding, infrastructure, and authorship, the field risks deepening existing inequities in access to care and technological innovation (Lavis et al., 2010). Multicenter collaborations, global funding consortia, and south–south cooperation mechanisms should be encouraged to democratize both knowledge production and therapeutic implementation (Saloojee and Pettifor, 2024).

Finally, this study demonstrates how scientometrics approaches can play a pivotal role in strategically guiding the future of DBS research. By mapping publication dynamics, keyword evolution, and thematic densities, we were able to identify areas of saturation, stagnation, and growth (Lozada-Martinez et al., 2025a,b). More importantly, we were able to expose critical blind spots, such as the lack of focus on functional performance and aggressiveness, and quantify their magnitude within the broader research ecosystem. In addition to mapping thematic trends, scientometrics methods could be leveraged to uncover authorship disparities and structural silos within research networks, revealing where cross-disciplinary integration is lacking.

This type of meta-research provides a data-informed foundation for shaping research agendas, prioritizing funding calls, and aligning clinical research with patient-centered outcomes (Lozada-Martinez et al., 2025c; Stevens and Laynor, 2023). As DBS continues to evolve from an experimental therapy to a potentially mainstream intervention in neurodevelopmental care, scientometrics will become increasingly necessary to avoid duplication, accelerate translation, and ensure that clinical relevance is not eclipsed by technological fascination (Dockès et al., 2020). Importantly, the strategic use of this evidence is essential for informing regulatory decisions, clinical guidelines, and public investment priorities, ensuring that innovation is guided by measurable benefits for patients. Future research should incorporate outcomes that go beyond symptom control, placing greater emphasis on quality of life, functional autonomy, and patients’ ability to self-manage their care (Benedetti-Isaac et al., 2021; Benedetti-Isaac et al., 2023; Herrera-Pino et al., 2024).

6 Limitations

This study has limitations that should be acknowledged. First, while the search strategy was detailed and adapted for three major databases, the full search strings were only exemplified for Scopus, with the assumption that equivalent descriptors were used in PubMed and Web of Science. Although this approach ensured consistency, we did not provide a supplementary table listing every search string due to space constraints.

The process of data screening and extraction, although conducted independently by two researchers and validated by consensus, did not include formal inter-rater agreement statistics (e.g., kappa coefficients). This limits the quantification of potential reviewer discrepancies, although the risk of bias was minimized through cross-validation.

The categorization of countries under a collective “Others” label in Table 1, while necessary due to formatting and frequency distribution constraints, may obscure the visibility of emerging contributors such as Colombia. This editorial decision affects the granularity of the geographic analysis and may limit the full interpretation of global asymmetries.

The study is inherently descriptive and relies on bibliometric metadata, which does not provide insight into study quality, clinical outcomes, or methodological rigor beyond what is reported in indexed records. Finally, the findings are disproportionately influenced by high-income countries, reflecting long-standing imbalances in global research ecosystems. Although this was one of the gaps we aimed to highlight, the limited participation of lower-income countries reduces the generalizability of trends and underscores the need for more inclusive and equitable research efforts.

Despite these limitations, the study provides a valuable meta-research perspective on the structural gaps in DBS research for neurodevelopmental disorders and offers actionable insights to guide future investigations, including mental health (Acuña Rodriguez et al., 2025; Blanco-Teherán et al., 2022).

7 Conclusion

This study reveals notable gaps in the scientific exploration of DBS for neurodevelopmental disorders, particularly in relation to functional performance and the mitigation of aggressiveness. Although research output has grown consistently, only a small fraction of studies focus on these critical clinical outcomes. Evidence from clinical trials and systematic reviews remains scarce, and most research continues to center on diagnostic categories rather than on patient-centered functional outcomes. These patterns suggest a disconnect between current scientific priorities and the therapeutic potential of DBS. Addressing these gaps will require a deliberate shift in research agendas toward outcomes that reflect real-world needs and advance the impact of this intervention in neurodevelopmental care.

Future studies should prioritize trial-based designs, incorporate outcome-oriented endpoints such as quality of life and functional autonomy, and promote equitable international research partnerships that include underrepresented regions. These measures are essential for aligning funding policies with real-world patient needs and advancing global neurotechnological equity.

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

MA-R: Conceptualization, Investigation, Writing – original draft, Writing – review & editing, Formal analysis. KM-Q: Writing – review & editing, Conceptualization, Writing – original draft, Investigation. FV-L: Investigation, Conceptualization, Writing – review & editing, Formal analysis, Writing – original draft, Data curation, Methodology. JM-R: Conceptualization, Writing – review & editing, Supervision, Methodology, Investigation, Writing – original draft.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by Universidad Simón Bolívar, Vicerrectoría de Investigación, Extensión e Innovación, internal funds for research strengthening, Barranquilla, Colombia.

Acknowledgments

We would like to thank Professor Ivan David Lozada-Martinez (Universidad de la Costa, Barranquilla, Colombia) for his conceptual and methodological guidance in this work.

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.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

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References

Acuña Rodriguez, M., Fiorillo-Moreno, O., Bolaño-Romero, M. P., and Cují-Galarza, W. (2025). Academic and scientific thinking on global mental health in future healthcare professionals: a new challenge aligned with contemporary needs. Inge CuC 21, 67–76. doi: 10.17981/ingecuc.21.1.2025.05

Crossref Full Text | Google Scholar

Alqaidoom, Z., Nguyen, P. Y., Awadh, M., and Page, M. J. (2023). Impact of searching clinical trials registers in systematic reviews of pharmaceutical and non-pharmaceutical interventions: reanalysis of meta-analyses. Res. Synth. Methods 14, 52–67. doi: 10.1002/jrsm.1583

PubMed Abstract | Crossref Full Text | Google Scholar

Benedetti-Isaac, J. C., Camargo, L., Gargiulo, P., and López, N. (2021). Deep brain stimulation in the posteromedial hypothalamic nuclei in refractory aggressiveness: post-surgical results of 19 cases. Int. J. Neuropsychopharmacol. 24, 977–978. doi: 10.1093/ijnp/pyab059

PubMed Abstract | Crossref Full Text | Google Scholar

Benedetti-Isaac, J. C., Camargo, L., Torres Zambrano, M., Perea-Castro, E., Castillo-Tamara, E., Caldichoury, N., et al. (2023). Deep brain stimulation may be a viable option for resistant to treatment aggression in children with intellectual disability. CNS Neurosci. Ther. 29, 2010–2017. doi: 10.1111/cns.14156

PubMed Abstract | Crossref Full Text | Google Scholar

Blanco-Teherán, C., Quintana-Pájaro, L., Narvaez-Rojas, A., Martínez-Pérez, R., García-Ballestas, E., Moscote Salazar, L., et al. (2022). Evidence-based medicine in neurosurgery: why and how? J. Neurosurg. Sci. 66, 49–53. doi: 10.23736/S0390-5616.21.05331-5

PubMed Abstract | Crossref Full Text | Google Scholar

Chan, B. K. C. (2018). Data analysis using R programming. Adv. Exp. Med. Biol. 1082, 47–122. doi: 10.1007/978-3-319-93791-5_2

Crossref Full Text | Google Scholar

Chen, J., Volkmann, J., and Ip, C. W. (2024). A framework for translational therapy development in deep brain stimulation. NPJ Parkinsons Dis. 10:216. doi: 10.1038/s41531-024-00829-5

PubMed Abstract | Crossref Full Text | Google Scholar

Dockès, J., Poldrack, R. A., Primet, R., Gözükan, H., Yarkoni, T., Suchanek, F., et al. (2020). NeuroQuery, comprehensive meta-analysis of human brain mapping. eLife 9:e53385. doi: 10.7554/eLife.53385

PubMed Abstract | Crossref Full Text | Google Scholar

Herrera-Pino, J., Benedetti-Isaac, J., Ripoll-Córdoba, D., Camargo, L., Castillo-Tamara, E. E., Morales-Asencio, B., et al. (2024). Effectiveness of deep brain stimulation on refractory aggression in pediatric patients with autism and severe intellectual disability: meta-analytic review. BMC Pediatr. 24:487. doi: 10.1186/s12887-024-04920-x

PubMed Abstract | Crossref Full Text | Google Scholar

Krauss, J. K., Lipsman, N., Aziz, T., Boutet, A., Brown, P., Chang, J. W., et al. (2021). Technology of deep brain stimulation: current status and future directions. Nat. Rev. Neurol. 17, 75–87. doi: 10.1038/s41582-020-00426-z

PubMed Abstract | Crossref Full Text | Google Scholar

Lavis, J. N., Guindon, G. E., Cameron, D., Boupha, B., Dejman, M., Osei, E. J., et al. (2010). Bridging the gaps between research, policy and practice in low- and middle-income countries: a survey of researchers. CMAJ 182, E350–E361. doi: 10.1503/cmaj.081164

Crossref Full Text | Google Scholar

Liu, X., Qiu, F., Hou, L., and Wang, X. (2022). Review of noninvasive or minimally invasive deep brain stimulation. Front. Behav. Neurosci. 15:820017. doi: 10.3389/fnbeh.2021.820017

PubMed Abstract | Crossref Full Text | Google Scholar

Lozada-Martinez, I. D., Hernandez-Paez, D. A., Fiorillo-Moreno, O., Picón-Jaimes, Y. A., and Bermúdez, V. (2025c). Meta-research in biomedical investigation: gaps and opportunities based on meta-research publications and global indicators in health, science, and human development. Publications 13:7. doi: 10.3390/publications13010007

Crossref Full Text | Google Scholar

Lozada-Martinez, I. D., Hernandez-Paez, D., Zárate, Y. E. J., and Delgado, P. (2025b). Scientometrics and meta-research in medical research: approaches required to ensure scientific rigor in an era of massive low-quality research. Rev Assoc Med Bras (1992) 71:e20241612. doi: 10.1590/1806-9282.20241612

PubMed Abstract | Crossref Full Text | Google Scholar

Lozada-Martinez, I. D., Lozada-Martinez, L. M., and Fiorillo-Moreno, O. (2024). Leiden manifesto and evidence-based research: are the appropriate standards being used for the correct evaluation of pluralism, gaps and relevance in medical research? J. R. Coll. Physicians Edinb. 54, 4–6. doi: 10.1177/14782715241227991

PubMed Abstract | Crossref Full Text | Google Scholar

Lozada-Martinez, I. D., Neira-Rodado, D., Martinez-Guevara, D., Cruz-Soto, H. S., Sanchez-Echeverry, M. P., and Liscano, Y. (2025a). Why is it important to implement meta-research in universities and institutes with medical research activities? Front Res Metr Anal. 10:1497280. doi: 10.3389/frma.2025.1497280

PubMed Abstract | Crossref Full Text | Google Scholar

Moosapour, H., Saeidifard, F., Aalaa, M., Soltani, A., and Larijani, B. (2021). The rationale behind systematic reviews in clinical medicine: a conceptual framework. J. Diabetes Metab. Disord. 20, 919–929. doi: 10.1007/s40200-021-00773-8

PubMed Abstract | Crossref Full Text | Google Scholar

Naqvi, W. M., Gabr, M., Arora, S. P., Mishra, G. V., Pashine, A. A., and Quazi Syed, Z. (2024). Bridging, mapping, and addressing research gaps in health sciences: the Naqvi-Gabr research gap framework. Cureus 16:e55827. doi: 10.7759/cureus.55827

PubMed Abstract | Crossref Full Text | Google Scholar

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71. doi: 10.1136/bmj.n71

Crossref Full Text | Google Scholar

Patrick, M. E., Williams, A. R., Shaw, K. A., Durkin, M., Hall-Lande, J., Vehorn, A., et al. (2025). Social vulnerability and the prevalence of autism spectrum disorder among 8-year-old children, autism and developmental disabilities monitoring network, 2020. Ann. Epidemiol. 104, 8–14. doi: 10.1016/j.annepidem.2025.02.014

PubMed Abstract | Crossref Full Text | Google Scholar

Raouafi, S., Achiche, S., and Raison, M. (2018). Socioeconomic disparities and difficulties to access to healthcare services among Canadian children with neurodevelopmental disorders and disabilities. Epidemiol. Health 40:e2018010. doi: 10.4178/epih.e2018010

PubMed Abstract | Crossref Full Text | Google Scholar

Saloojee, H., and Pettifor, J. M. (2024). Maximizing access and minimizing barriers to research in low- and middle-income countries: open access and health equity. Calcif. Tissue Int. 114, 83–85. doi: 10.1007/s00223-023-01151-7

PubMed Abstract | Crossref Full Text | Google Scholar

Shea, J. M., Feigen, C. M., Eskandar, E. N., and Killian, N. J. (2025). Mechanisms of DBS: from informational lesions to circuit modulation and implications in OCD. Front. Hum. Neurosci. 19:1492744. doi: 10.3389/fnhum.2025.1492744

PubMed Abstract | Crossref Full Text | Google Scholar

Stevens, E. R., and Laynor, G. (2023). Recognizing the value of meta-research and making it easier to find. J. Med. Libr. Assoc. 111, 839–843. doi: 10.5195/jmla.2023.1758

PubMed Abstract | Crossref Full Text | Google Scholar

The World Bank. (2024) World Bank country and lending groups. Available online at: https://datahelpdesk.worldbank.org/knowledgebase/articles/906519-world-bank-country-and-lending-groups (Accessed June 15, 2024).

Google Scholar

Tremblay- McGaw, A. G., Hamlat, E. J., Becker, N. C., Astudillo Maya, D. A., Krystal, A. D., and Sellers, K. K. (2025). Best practices for clinical trials of deep brain stimulation for neuropsychiatric indications. Front. Hum. Neurosci. 19:1572972. doi: 10.3389/fnhum.2025.1572972

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: deep brain stimulation, neurodevelopmental disorders, evidence gaps, neurosciences, knowledge discovery

Citation: Acuña-Rodriguez M, Montoya-Quintero KF, Visconti-Lopez FJ and Martinez-Royert JC (2025) Global trends and research gaps in deep brain stimulation for neurodevelopmental disorders: a scientometrics exploration of functional and behavioral outcomes. Front. Hum. Neurosci. 19:1649726. doi: 10.3389/fnhum.2025.1649726

Received: 18 June 2025; Accepted: 15 August 2025;
Published: 29 August 2025.

Edited by:

Norman López, Santo Tomás University, Chile

Reviewed by:

Jesús Jaime Moreno Escobar, Escuela Superior de Ingeniería Mecánica y Eléctrica (IPN), Mexico
Luis Mario Castellanos-Alvarenga, Universidad Santo Tomás, Chile

Copyright © 2025 Acuña-Rodriguez, Montoya-Quintero, Visconti-Lopez and Martinez-Royert. 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: Judith Cristina Martinez-Royert, anVkaXRoLm1hcnRpbmV6QHVuaXNpbW9uLmVkdS5jbw==; Mónica Acuña-Rodriguez, bWFjdW5hNkBjdWMuZWR1LmNv

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