Bibliometric Analysis and Systematic Review of Executive Functions in the Field of Attention Deficit/Hyperactivity Disorder
Bibliographic record
Abstract
Abstract Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental condition marked by significant challenges that has led to extensive research on related constructs like executive functions, with this study aiming to explore the bibliometric landscape of executive functions in ADHD through analysis of Scopus data using the PRISMA model and the keywords "Attention Deficit/Hyperactivity Disorder" and "Executive Function," revealing publications spanning 1957 to 2024 across 27 subject areas primarily in medicine, psychology, and cognitive neuroscience, where only one document appeared between 1957-1982 compared to 7,995 in 2023, demonstrating a clear upward trend despite reduced output during 2015-2016, with English, Spanish, and Chinese emerging as dominant languages and the United States, United Kingdom, Germany, Canada, and China leading in contributions while Iran ranked 22nd, consistently showing that individuals with ADHD exhibit poorer executive functioning than peers particularly in working memory and self-regulation, supported by Barkley's theoretical framework suggesting ADHD involves greater self-regulation deficits rather than pure attention problems, thereby advocating for comprehensive treatment approaches incorporating behavioral interventions, environmental modifications, and emotional regulation strategies to address these core challenges. Keywords: attention deficit/hyperactivity disorder, executive functions, bibliometrics, systematic review Extended Abstract Introduction Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that typically emerges in childhood and frequently persists into adulthood (Farahani et al., 2024). The condition is characterized by chronic patterns of inattention and/or hyperactivity-impulsivity that significantly impair functioning or disrupt normal developmental trajectories during childhood (American Psychiatric Association, 2022). Executive functions represent a relatively recent conceptual development in neuroscience. Luria (1966, 1973, 1980, as cited in Ardila, 2008) pioneered the theoretical framework of executive functions, proposing three functional brain units: (1) arousal-motivation (mediated by limbic and reticular systems), (2) information reception, processing, and storage (involving post-Rolandic cortical areas), and (3) activity planning, control, and verification (dependent on frontal cortex function). Luria specifically identified this third unit as possessing executive control capabilities. Baddeley (1986) subsequently organized these behavioral components into distinct cognitive domains encompassing planning deficits, behavioral disorganization, inhibitory failures, perseveration, reduced behavioral dominance, and initiation impairments - collectively termed "dysexecutive syndrome." Contemporary conceptualizations of executive function incorporate mental flexibility, distractor filtering, goal-directed behavior maintenance, and action-consequence prediction (Ardila & Surloff, 2007). Research consistently demonstrates that individuals with ADHD perform significantly worse on executive function measures compared to neurotypical controls. Within this domain, executive dysfunction shows a strong association with inattention symptoms but no significant correlation with hyperactive-impulsive symptoms. This pattern persists in adolescent populations, where executive function deficits remain specifically linked to attention-related impairments (Martel et al., 2007). This study sought to systematically synthesize existing evidence on the relationship between executive functions and ADHD, with the dual objectives of (1) mapping current knowledge and (2) identifying critical research gaps. The findings illuminate persistent questions, methodological limitations, and testable hypotheses that can inform future investigations. Importantly, the analysis reveals key areas where extant evidence remains inconclusive, thereby delineating priority domains for targeted research to advance understanding of ADHD-related executive dysfunction. Method This applied research employs a dual methodological approach combining bibliometric analysis with systematic review methodology following the PRISMA framework. Data extraction focused specifically on ADHD-related literature sourced from the Scopus database, an authoritative bibliographic platform established by Elsevier in 2004. Scopus maintains international recognition as a comprehensive repository of scientific documents across disciplines, providing robust citation indexing and bibliographic metadata for research synthesis. Table 2: Most Cited Articles in the Field of ADHD Title Authors Source title Year Cited by 1 The Unity and Diversity of Executive Functions and Their Contributions to Complex "Frontal Lobe" Tasks: A Latent Variable Analysis A. Miyake; et al. Cognitive Psychology 2000 10748 2 Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): Initial reliability and validity data J. Kaufman; et al. Journal of the American Academy of Child and Adolescent Psychiatry 1997 7945 3 Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD R.A.Barkley. Psychological Bulletin 1997 5456 4 The worldwide prevalence of ADHD: A systematic review and metaregression analysis G.Polanczyk.; et al. American Journal of Psychiatry 2007 4046 5 Prevalence and development of psychiatric disorders in childhood and adolescence E.J. Costello; et al. Archives of General Psychiatry 2003 2962 6 The prevalence and correlates of adult ADHD in the United States: Results from the National Comorbidity Survey Replication R.C.Kessler; et al. American Journal of Psychiatry 2006 2952 7 A 14-month randomized clinical trial of treatment strategies for attention-deficit/hyperactivity disorder Jensen P.S. Archives of General Psychiatry 1999 2881 8 Testing the efficiency and independence of attentional networks J. Fan.; et al. Journal of Cognitive Neuroscience 2002 2687 9 The nature and organization of individual differences in executive functions: Four general conclusions A. Miyake; et al.. Current Directions in Psychological Science 2012 2667 10 Working memory: Theories, models, and controversies Baddeley A. Annual Review of Psychology 2012 2569 11 The cerebellar cognitive affective syndrome J.D. Schmahmann; et al.. Brain 1998 2564 12 Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents G.V.Polanczyk; et al.. Journal of Child Psychology and Psychiatry and Allied Disciplines 2015 2468 13 Psychiatric disorders in children with autism spectrum disorders: Prevalence, comorbidity, and associated factors in a population-derived sample E.Simonoff; et al. Journal of the American Academy of Child and Adolescent Psychiatry 2008 2411 14 Neurocognitive deficit in schizophrenia: A quantitative review of the evidence R.W Heinrichs.; et al.. Neuropsychology 1998 2387 15 Identification of risk loci with shared effects on five major psychiatric disorders: A genome-wide analysis J.W. Smoller.; et al.. The Lancet 2013 2268 16 A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): A randomised controlled trial T. Ngandu; et al. The Lancet 2015 2204 17 The World Health Organization adult ADHD self-report scale (ASRS): A short screening scale for use in the general population R.C. Kessler; et al. Psychological Medicine 2005 2203 18 Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten C. Blair.; et al.. Child Development 2007 2196 19 Frontal-Subcortical Circuits and Human Behavior Cummings J.L. Archives of Neurology 1993 2043 20 Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI Y.-F. Zang.; et al.. Brain and Development 2007 2029 21 Comorbidity A. Angola; et al.. Journal of Child Psychology and Psychiatry and Allied Disciplines 1999 1958 22 Long-term cognitive impairment after critical illness P.P.Pandharipande. et al.; New England Journal of Medicine 2013 1916 23 Diagnostic criteria for mild cognitive impairment in Parkinson's disease: Movement Disorder Society Task Force guidelines I, Litvan; et al.. Movement Disorders 2012 1894 24 Executive Function in Preschoolers: A Review Using an Integrative Framework N.Garon; et al. Psychological Bulletin 2008 1810 25 Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs S.H. Lee.; et al. Nature Genetics 2013 1763 26 Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 The Lancet Psychiatry 2022 1642 27 Functional topography in the human cerebellum: A meta-analysis of neuroimaging studies C.J. Stoodley; et al.. NeuroImage 2009 1614 28 Human catechol-O-methyltransferase pharmacogenetics: Description of a functional polymorphism and its potential application to neuropsychiatric disorders H.M. Lachman; et al.. Pharmacogenetics 1996 1597 29 The spectrum of disease in chronic traumatic encephalopathy A.C.McKee. et al.; Brain 2013 1588 30 Development of cognitive control and executive functions from 4 to 13 years: Evidence from manipulations of memory, inhibition, and task switching M.C. Davidson; et al.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.219 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.009 |
| Bibliometrics | 0.196 | 0.196 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".