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Journals / Kocatepe Tıp Dergisi / 2026 / Cilt: 27 Sayı: 4

BIBLIOMETRIC ANALYSIS OF RESEARCH ON EPILEPSY AND BRAIN VOLUME FROM 2010 TO 2024

2010-2024 yılları arasında epilepsi ve beyin hacmi üzerine yapılan araştırmaların bibliyometrik analizi

Yunus Emre Kaban(GAZİ ÜNİVERSİTESİ, TIP FAKÜLTESİ, TIP PR.)0000-0003-4771-9832
Zafer Kutay Coşkun(GAZİ ÜNİVERSİTESİ, TIP FAKÜLTESİ, TIP PR.)0000-0001-8936-4254
Pages
457–465
Publication Date
2026-10-12
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings provide valuable insights into research patterns and trends and can guide future investigations in this area.

📌 3 Key Takeaways

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Objective & Hypothesis:OBJECTIVE: Epilepsy is a neurological disorder marked by recurrent seizures due to abnormal electrical activity in the brain, potentially affecting consciousness, movement, and behavior.
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Key Findings & Data:MATERIAL AND METHODS: Articles and reviews published between 2010 and 2024 were retrieved from the Web of Science Core Collection (WOSCC) database.
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Conclusion & Impact:The findings provide valuable insights into research patterns and trends and can guide future investigations in this area.
🔬Design:Review & Systematic Survey
📍Scope:2010 Verileri
⚙️Variables:Epilepsi · Beyin Hacmi · Beyin Atrofisi

Abstract

OBJECTIVE: Epilepsy is a neurological disorder marked by recurrent seizures due to abnormal electrical activity in the brain, potentially affecting consciousness, movement, and behavior. As the brain the central organ of the nervous system is structurally impacted by epilepsy, studies have highlighted a mutual relationship between epilepsy and brain volume. Despite growing interest, no bibliometric analysis focusing specifically on epilepsy and brain volume has been identified. This study aims to fill that gap by conducting a bibliometric analysis and visualizing trends in this field. MATERIAL AND METHODS: Articles and reviews published between 2010 and 2024 were retrieved from the Web of Science Core Collection (WOSCC) database. Bibliometric analyses and visual mappings were carried out using the VOSviewer software. RESULTS: A total of 430 publications authored by 2,923 researchers from 1,147 institutions across 69 countries were identified. Matsumoto, N. was the most prolific author with 10 publications. Epilepsia led the journal rankings with 22 articles, followed by Epilepsy & Behavior with 15. The United States and United Kingdom had the highest collaboration and publication outputs, followed by China and Germany. Keyword analysis revealed "Epilepsy" as the most frequently used term, followed by "Brain Atrophy" and "Magnetic Resonance Imaging." CONCLUSIONS: This is the first bibliometric study examining the relationship between epilepsy and brain volume. The findings provide valuable insights into research patterns and trends and can guide future investigations in this area.

Özet

AMAÇ: Epilepsi, beyindeki anormal elektriksel aktiviteye bağlı olarak tekrarlayan nöbetlerle kendini gösteren ve potansiyel olarak bilinci, hareketi ve davranışı etkileyen nörolojik bir hastalıktır. Sinir sisteminin merkezi organı olan beyin epilepsiden yapısal olarak etkilendiği için, çalışmalar epilepsi ve beyin hacmi arasında karşılıklı bir ilişki olduğunu vurgulamıştır. Artan ilgiye rağmen, özellikle epilepsi ve beyin hacmine odaklanan bibliyometrik bir analiz tespit edilmemiştir. Bu çalışma, bibliyometrik bir analiz yaparak ve bu alandaki eğilimleri görselleştirerek bu boşluğu doldurmayı amaçlamaktadır. GEREÇ VE YÖNTEM: 2010-2024 yılları arasında yayınlanan makaleler ve incelemeler Web of Science Core Collection (WOSCC) veri tabanından alınmıştır. Bibliyometrik analizler ve görsel eşleştirmeler VOSviewer yazılımı kullanılarak gerçekleştirilmiştir. BULGULAR: 69 ülkedeki 1.147 kurumdan 2.923 araştırmacı tarafından yazılan toplam 430 yayın tespit edildi. Matsumoto, N. 10 yayınla en üretken yazar olmuştur. Epilepsia 22 makale ile dergi sıralamasında başı çekerken, onu 15 makale ile Epilepsy & Behavior takip etmiştir. Amerika Birleşik Devletleri ve Birleşik Krallık en yüksek işbirliği ve yayın çıktılarına sahipken, onları Çin ve Almanya takip etmiştir. Anahtar kelime analizi, en sık kullanılan terimin "Epilepsi" olduğunu, bunu "Beyin Atrofisi" ve "Manyetik Rezonans Görüntüleme "nin izlediğini ortaya koymuştur. SONUÇ: Bu çalışma, epilepsi ve beyin hacmi arasındaki ilişkiyi inceleyen ilk bibliyometrik çalışmadır. Bulgular, araştırma kalıpları ve eğilimleri hakkında değerli bilgiler sağlamakta ve bu alanda gelecekteki araştırmalara rehberlik edebilmektedir.

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Cite This Article

Kaban, Y. E., Coşkun, Z. K. (2026). BIBLIOMETRIC ANALYSIS OF RESEARCH ON EPILEPSY AND BRAIN VOLUME FROM 2010 TO 2024. Kocatepe Tıp Dergisi, Cilt: 27 Sayı: 4, 457–465. https://doi.org/10.18229/kocatepetip.1705604

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References (30)

  1. Falco-Walter J. Epilepsy-Definition, Classification, Pathophysiology, and Epidemiology. Seminars in Neurology. 2020;40(6):617-23.
  2. Aaberg KM, Surén P, Søraas CL, et al. Seizures, syndromes, and etiologies in childhood epilepsy: The International League Against Epilepsy 1981, 1989, and 2017 classifications used in a population-based cohort. Epilepsia. 2017;58(11):1880-91.
  3. Bosak M, Słowik A, Kacorzyk R, Turaj W. Implementation of the new ILAE classification of epilepsies into clinical practice - A cohort study. Epilepsy Behav. 2019;96:28-32.
  4. World Health Organization. Improving the lives of people with epilepsy: a technical brief. World Health Organization; 2022.
  5. Akdağ G, Algın D, Erdinç O. Epilepsi/epilepsy. Türkiye’de Aile Hekimliği Dergisi. 2016;38(1):35-41.
  6. Fisher RS, Acevedo C, Arzimanoglou A, et al. ILAE official report: a practical clinical definition of epilepsy. Epilepsia. 2014;55(4):475-82.
  7. Cendes F, Andermann F, Gloor P, et al. MRI volumetric measurement of amygdala and hippocampus in temporal lobe epilepsy. Neurology. 1993;43(4):719-25.
  8. Heinen R, Bouvy WH, Mendrik AM, et al. Robustness of automated methods for brain volume measurements across different MRI Field Strengths. 2016;11(10): e0165719.
  9. Scheffer IE, Berkovic S, Capovilla G, et al. ILAE classification of the epilepsies: Position paper of the ILAE Commission for Classification and Terminology. Epilepsia. 2017;58(4):512-21.
  10. Pack AM. Epilepsy Overview and Revised Classification of Seizures and Epilepsies. Continuum (Minneap Minn). 2019;25(2):306-21.
  11. Çavuşoğlu, D. Childhood Occipital Epilepsy: Clinical Evaluation Of 19 Patients. Kocatepe Tıp Dergisi. 2021;22(3):168-72.
  12. Fernandez-Baca Vaca G, Park JT. Focal EEG abnormalities and focal ictal semiology in generalized epilepsy. Seizure. 2020;77:7-14.
  13. Aderinto N, Olatunji G, Kokori E, et al. The efficacy and safety of cannabidiol (CBD) in pediatric patients with Dravet Syndrome: a narrative review of clinical trials. Eur J Med Res. 2024;29(1):182.
  14. Arıncı K, Elhan A. Anatomi. 2. cilt, 4. baskı. Ankara. 2006:54-7.
  15. Coan AC, Kubota B, Bergo FP, Campos BM, Cendes F. 3T MRI quantification of hippocampal volume and signal in mesial temporal lobe epilepsy improves detection of hippocampal sclerosis. AJNR Am J Neuroradiol. 2014;35(1):77-83.
  16. Iqbal S, Leon-Rojas JE, Galovic M, et al. Volumetric analysis of the piriform cortex in temporal lobe epilepsy. Epilepsy Res. 2022;185:106971.
  17. Ninkov A, Frank JR, Maggio LA. Bibliometrics: Methods for studying academic publishing. Perspect Med Educ. 2022;11(3):173-6.
  18. Xu Y, Cao Z, Chen T, Ren J. Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis. Front Endocrinol. 2023;14:1245719.
  19. Bonilha L, Edwards JC, Kinsman SL, et al. Extrahippocampal gray matter loss and hippocampal deafferentation in patients with temporal lobe epilepsy. Epilepsia. 2010;51(4):519-28.
  20. Todd RB. The Lumleian Lectures for 1849. On the pathology and treatment of convulsive diseases. Epilepsia. 2005;46(7):995-1009.
  21. Whelan CD, Altmann A, Botía JA, et al. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study. Brain. 2018;141(2):391-408.
  22. Watson C, Cendes F, Fuerst D, et al. Specificity of volumetric magnetic resonance imaging in detecting hippocampal sclerosis. Neurology. 1997;54(1):67-73.
  23. Hogan RE, Wang L, Bertrand ME, et al. MRI-based high-dimensional hippocampal mapping in mesial temporal lobe epilepsy. Brain. 2004;127(8):1731-40.
  24. Hamdan FF, Saitsu H, Nishiyama K, et al. Identification of a novel in-frame de novo mutation in SPTAN1 in intellectual disability and pontocerebellar atrophy. Eur J Hum Genet. 2012;20(7):796-800.
  25. Fasano G, Muto V, Radio FC, et al. Dominant ARF3 variants disrupt Golgi integrity and cause a neurodevelopmental disorder recapitulated in zebrafish. Nat Commun. 2022;13(1):6841.
  26. Stein JL, Medland SE, Vasquez AA, et al. Identification of common variants associated with human hippocampal and intracranial volumes. Nat Genet. 2012;44(5):552-61.
  27. Rahatli FK, Sezer T, Has AC, et al. Evaluation of cortical thickness and brain volume on 3 Tesla magnetic resonance imaging in children with frontal lobe epilepsy. Neurol Sci. 2020;41(4):825-33.
  28. Nakayama Y, Masuda H, Shirozu H, et al. Features of amygdala in patients with mesial temporal lobe epilepsy and hippocampal sclerosis: An MRI volumetric and histopathological study. Epilepsy Res. 2017;135:50-5.
  29. Polli RS, Malheiros JM, dos Santos R, et al. Changes in Hippocampal Volume are Correlated with Cell Loss but Not with Seizure Frequency in Two Chronic Models of Temporal Lobe Epilepsy. PLoS One. 2014;1(5):111.
  30. Wu C, D’Haese P-F, Pallavaram S, et al. Variations in thalamic anatomy affect targeting in deep brain stimulation for epilepsy. Neurosurgery. 2017;94(6):387-96.