Global research trends on seizure detection in critical care after decompressive craniectomy: A bibliometric analysis
DOI:
https://doi.org/10.25305/unj.339497Keywords:
decompressive craniectomy, seizure detection, intensive care, bibliometric studies, VOSviewerAbstract
Background: Postoperative seizures are a recognized complication following decompressive craniectomy (DC); the global research landscape regarding seizure detection in this context remains insufficiently characterized. Bibliometric mapping provides insights into emerging trends and knowledge gaps.
Objective: This study aims to map and evaluate international research output on seizure detection in critically ill patients after decompressive craniectomy.
Methods: Relevant literature was collected from Scopus, PubMed, CrossRef, and Google Scholar using the terms ‘decompressive craniectomy AND seizure AND detected’ via the Publish or Perish software. Records were exported in RIS format and analysed with VOSviewer to generate keyword co-occurrence networks, cluster maps, and temporal trend visualizations.
Results: A total of 1,605 publications from 2015–2025 were analyzed. Annual research volume increased, particularly since 2018. The co-occurrence network analysis identified four thematic clusters: (1) clinical outcomes and prognosis, (2) surgical techniques and perioperative management, (3) intracranial pressure and monitoring strategies, and (4) seizure detection and critical neurological care. Overlay analysis revealed a gradual thematic shift toward seizure monitoring and electroencephalography EEG-based approaches in recent years, while density visualization confirmed that seizure detection remains an emerging but relatively underdeveloped research area. The most prolific contributor was identified with 126 publications.
Conclusion: Although publications on decompressive craniectomy have grown rapidly, seizure detection remains a relatively small but growing research topic. Increased focus on neurocritical monitoring indicates future opportunities for developing evidence-based protocols and collaborative studies in this field.
References
1. Honeybul S, Ho KM. Decompressive craniectomy--a narrative review and discussion. Aust Crit Care. 2014 May;27(2):85-91. [CrossRef] [PubMed]
2. Laurent D, Mohan A, Lucke-Wold B, Hoh B. Decompressive Hemicraniectomy and Suboccipital Craniectomy for Acute Ischemic Stroke. In: Ovbiagele B, Kim AS. Ischemic Stroke Therapeutics: A Comprehensive Guide. Springer International Publishing; 2024. P. 101-109. [CrossRef]
3. Mezue W, Ndubuisi C. Decompressive craniectomy in the management of traumatic brain injury: a review of current practice. Open Access Surgery. 2015;8:73-83. [CrossRef]
4. Miller CA, Coughlin DJ, Bell R. Decompressive Craniectomy for Severe TBI. In: Ecklund J, Moores L, editors. Neurotrauma Management for the Severely Injured Polytrauma Patient. Springer International Publishing; 2017. P. 167-191 [CrossRef]
5. Pallesen LP, Barlinn K, Puetz V. Role of Decompressive Craniectomy in Ischemic Stroke. Front Neurol. 2019 Jan 9;9:1119. [CrossRef] [PubMed] [PubMed Central]
6. Venturini S, Hutchinson P, Kolias AG. Decompressive Craniectomy in the Management of Traumatic Brain Injury. In: Honeybul S, Kolias AG, editors. Traumatic Brain Injury. Springer; 2021. P. 205-214. [CrossRef]
7. Gopalakrishnan MS, Shanbhag NC, Shukla DP, Konar SK, Bhat DI, Devi BI. Complications of Decompressive Craniectomy. Front Neurol. 2018 Nov 20;9:977. [CrossRef] [PubMed] [PubMed Central]
8. Mraček J, Mork J, Dostal J, Tupy R, Mrackova J, Priban V. Complications Following Decompressive Craniectomy. J Neurol Surg A Cent Eur Neurosurg. 2021 Sep;82(5):437-445. [CrossRef] [PubMed]
9. Paquin-Lanthier G, Subramaniam S, Leong KW, Daniels A, Singh K, Takami H, Chowdhury T, Bernstein M, Venkatraghavan L. Risk Factors and Characteristics of Intraoperative Seizures During Awake Craniotomy: A Retrospective Cohort Study of 562 Consecutive Patients With a Space-occupying Brain Lesion. J Neurosurg Anesthesiol. 2023 Apr 1;35(2):194-200. [CrossRef] [PubMed]
10. Sueiras M, Thonon V, Santamarina E, Sánchez-Guerrero Á, Riveiro M, Poca MA, Quintana M, Gándara D, Sahuquillo J. Is Spreading Depolarization a Risk Factor for Late Epilepsy? A Prospective Study in Patients with Traumatic Brain Injury and Malignant Ischemic Stroke Undergoing Decompressive Craniectomy. Neurocrit Care. 2021 Jun;34(3):876-888. [CrossRef] [PubMed]
11. Desai M, Lewis C, Badjatia N. Multimodal Monitoring in Decompressive Craniectomy for Traumatic Brain Injury and Stroke. In: Aarabi B, Simard JM, editors. Decompressive Craniectomy. New York: Nova Science Publishers; 2018. P. 43–84.
12. Makarenko S, Griesdale DE, Gooderham P, Sekhon MS. Multimodal neuromonitoring for traumatic brain injury: A shift towards individualized therapy. J Clin Neurosci. 2016 Apr;26:8-13. [CrossRef] [PubMed]
13. Casault C, Couillard P, Kromm J, Rosenthal E, Kramer A, Brindley P. Multimodal brain monitoring following traumatic brain injury: A primer for intensive care practitioners. J Intensive Care Soc. 2022 May;23(2):191-202. [CrossRef] [PubMed] [PubMed Central]
14. Freund BE, Feyissa AM, Khan A, Middlebrooks EH, Grewal SS, Sabsevitz D, Sherman WJ, Quiñones-Hinojosa A, Tatum WO. Early Postoperative Seizures Following Awake Craniotomy and Functional Brain Mapping for Lesionectomy. World Neurosurg. 2024 Jan;181:e732-e742. [CrossRef] [PubMed]
15. Manzouri F, Duempelmann M, Heller S, Woias P, Schulze-Bonhage A. Patient-based feature optimization of a seizure detector for closed-loop stimulation. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation. 2019 Mar 1;12(2):411.
16. Nouboue C, Selfi S, Diab E, Chen S, Périn B, Szurhaj W. Assessment of an under-mattress sensor as a seizure detection tool in an adult epilepsy monitoring unit. Seizure. 2023 Feb;105:17-21. [CrossRef] [PubMed]
17. Kubota Y, Nakamoto H, Egawa S, Kawamata T. Continuous EEG monitoring in ICU. J Intensive Care. 2018 Jul 17;6:39. [CrossRef] [PubMed] [PubMed Central]
18. Huo Q, Luo X, Xu ZC, Yang XY. Machine learning applied to epilepsy: bibliometric and visual analysis from 2004 to 2023. Front Neurol. 2024 Apr 2;15:1374443. [CrossRef] [PubMed] [PubMed Central]
19. Schenck HE, Mangat HS. Towards Improved Organizational Governance of Neurotrauma Surveillance Comment on "Neurotrauma Surveillance in National Registries of Low- and Middle-Income Countries: A Scoping Review and Comparative Analysis of Data Dictionaries". Int J Health Policy Manag. 2023;12:7554. [CrossRef] [PubMed] [PubMed Central]
20. Brondani R, Garcia de Almeida A, Abrahim Cherubini P, Mandelli Mota S, de Alencastro LC, Antunes ACM, Bianchin Muxfeldt M. High Risk of Seizures and Epilepsy after Decompressive Hemicraniectomy for Malignant Middle Cerebral Artery Stroke . Cerebrovasc Dis Extra. 2017;7(1):51-61. [CrossRef] [PubMed] [PubMed Central]
21. Rowberry T, Kanthimathinathan HK, George F, Notghi L, Gupta R, Bill P, Wassmer E, Duncan HP, Morris KP, Scholefield BR. Implementation and Early Evaluation of a Quantitative Electroencephalography Program for Seizure Detection in the PICU. Pediatr Crit Care Med. 2020 Jun;21(6):543-549. [CrossRef] [PubMed]
22. Statsenko Y, Babushkin V, Talako T, Kurbatova T, Smetanina D, Simiyu GL, Habuza T, Ismail F, Almansoori TM, Gorkom KN, Szólics M, Hassan A, Ljubisavljevic M. Automatic Detection and Classification of Epileptic Seizures from EEG Data: Finding Optimal Acquisition Settings and Testing Interpretable Machine Learning Approach. Biomedicines. 2023 Aug 24;11(9):2370. [CrossRef] [PubMed] [PubMed Central]
23. Chawla D, Sharma E, Rajab N, Łajczak P, Silva YP, Baptista JM, Pomianoski BW, Ahmed AR, Majeed MW, de Sousa YG, Pinto ML, Sahin OK, Ibrahim MH, Guedes IHL, Chatterjee A, Barbosa RG, Fagundes W. Utilizing machine learning techniques for EEG assessment in the diagnosis of epileptic seizures in the brain: A systematic review and meta-analysis. Seizure. 2025 Mar;126:16-23. [CrossRef] [PubMed]
24. Vitt JR, Mainali S. Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients. Semin Neurol. 2024 Jun;44(3):342-356. [CrossRef] [PubMed]
25. Lamichhane B, Kim Y, Segarra S, Zhang G, Lhatoo S, Hampson J, Jiang X. Automated detection of activity onset after postictal generalized EEG suppression. BMC Med Inform Decis Mak. 2020 Dec 24;20(Suppl 12):327. [CrossRef] [PubMed] [PubMed Central]
26. Bakula DM, Junger KW, Guilfoyle SM, Mara CA, Modi AC. Key predictors of the need for a family-focused pediatric epilepsy adherence intervention. Epilepsia. 2022 Aug;63(8):2120-2129. [CrossRef] [PubMed] [PubMed Central]
27. Mariajoseph FP, Chen Z, Sekhar P, Rewell SS, O'Brien TJ, Antonic-Baker A, Semple BD. Incidence and risk factors of posttraumatic epilepsy following pediatric traumatic brain injury: A systematic review and meta-analysis. Epilepsia. 2022 Nov;63(11):2802-2812. [CrossRef] [PubMed] [PubMed Central]
28. Rosenthal ES. Seizures, Status Epilepticus, and Continuous EEG in the Intensive Care Unit. Continuum (Minneap Minn). 2021 Oct 1;27(5):1321-1343. [CrossRef] [PubMed]
29. Limotai C, Jirasakuldej S, Wongwiangiunt S, Tumnark T, Suwanpakdee P, Wangponpattanasiri K, Rakchue P, Tungkasereerak C, Pleumpanupatand P, Tansuhaj P, et al. Efficacy of delivery of care with Tele-continuous EEG in critically ill patients: a multicenter randomized controlled trial (Tele-cRCT study) study. Crit Care. 2025 Jan 7;29(1):15. [CrossRef] [PubMed] [PubMed Central]
30. Rubinos C, Alkhachroum A, Der-Nigoghossian C, Claassen J. Electroencephalogram Monitoring in Critical Care. Semin Neurol. 2020 Dec;40(6):675-680. [CrossRef] [PubMed] [PubMed Central]
31. Tagore S, Reche A, Paul P, Deshpande M. Electromyography: Processing, Muscles' Electric Signal Analysis, and Use in Myofunctional Orthodontics. Cureus. 2023 Dec 19;15(12):e50773. [CrossRef] [PubMed] [PubMed Central]
32. Karagianni MD, Brotis AG, Gatos C, Kalamatianos T, Vrettou C, Stranjalis G, Fountas KN. Neuromonitoring in Severe Traumatic Brain Injury: A Bibliometric Analysis. Neurocrit Care. 2022 Jun;36(3):1044-1052. [CrossRef] [PubMed]
33. Sconzo D, Wadhwa A, Balagurunath K, Berube M, Wetsel Z, Sakthiyendran NA, Penumaka A, Enriquez-Marulanda A, Ravina K, Binello E. Predictors of seizures in postoperative traumatic brain injury patients: A single center retrospective study. Clin Neurol Neurosurg. 2025 Oct;257:109116. [CrossRef] [PubMed]
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