Abstract
Awake craniotomy (AC) is a critical neurosurgical technique for maximizing tumor resection in eloquent brain regions while preserving essential neurological functions like speech and motor control. Despite its widespread adoption, no prior bibliometric analysis has evaluated the most influential research in this field. This study analyzed the top 100 most-cited articles on AC to identify key trends, influential works, and authorship demographics. A systematic search of the Web of Science Core Collection on September 17, 2024, yielded 718 publications, with the top 100 ranked by citation count. Analysis revealed a surge in AC research after 2013, peaking in 2021, with the Journal of Neurosurgery contributing significantly (49 articles; 2,611 citations). Themes included functional mapping, anesthetic techniques, and patient outcomes, with technological advancements such as intraoperative MRI and virtual reality enhancing surgical precision. Authorship analysis highlighted a gender disparity, with male authors occupying 77% of first authorship and 88% of senior roles. These findings underscore AC's evolution, foundational studies, and ongoing advancements while emphasizing the need for greater diversity and inclusion in the field.
Keywords: awake craniotomy, bibliometric analysis, eloquent brain regions, functional preservation, gender disparities in neurosurgery, glioma resection, intraoperative mapping, neuro-oncology, neurosurgical innovation, technological advancements
Introduction and background
Awake craniotomy (AC) with brain mapping is the gold standard for tumor or lesion resection in or near eloquent brain regions [1]. This technique minimizes neurological deficits by preserving essential functions like speech and motor control. The mapping process involves direct electrical stimulation of the cortex while the patient is awake and performing relevant tasks, helping identify if a particular stimulus disrupts the function being tested [1]. Advances in technology, such as the development of computerized platforms for behavioral testing, have further refined intraoperative mapping, particularly for language functions. These systems are designed to meet the specific environmental demands of the operating room and preoperative functional MRI (fMRI), ensuring better alignment between brain mapping techniques [2,3]. Over the past several decades, AC has become increasingly prevalent in neurosurgery, particularly for the removal of intrinsic brain tumors located in eloquent areas. This technique is primarily employed to preserve critical functions, such as motor and language abilities, by allowing direct interaction with the patient during surgery [4]. While awake resection has been extensively studied in the context of low-grade gliomas, the functional outcomes, particularly motor function, have been well-documented, correlating with the success of direct electrical stimulation (DES) in mapping essential regions [4]. Despite the significant progress in motor preservation, mapping other functions, such as language, poses unique challenges due to the complexity of localization.
Patient selection for AC is a critical process, requiring comprehensive psychological, cognitive, and functional assessments [5]. Psychological factors, such as anxiety and fear of pain, can significantly affect intraoperative compliance, potentially leading to failure [5]. In addition, medical considerations, including tumor location, anesthesia-related concerns, pregnancy status, and the patient's ability to cooperate, play essential roles in determining suitability for AC [1,6,7]. AC often reduces the need for postoperative intensive care monitoring, resulting in shorter or eliminated ICU stays. Compared to craniotomy under general anesthesia, patients undergoing AC experience fewer neurological deficits (7% vs. 23%) and shorter hospital stays (1.7 days vs. 9 days)[1]. These patients also report less postoperative pain, nausea, and vomiting [1].
While AC is generally safe for well-selected patients, contraindications, such as uncontrolled seizures, severe neurological deficits, or large tumors can necessitate alternative surgical approaches [1,3]. In addition, some studies have reported patients experiencing anxiety and depressive symptoms postoperative, often associated with pre-existing psychological conditions [8-10]. However, a systematic review reported that AC is generally well-tolerated and does not significantly increase stress, anxiety, or depression compared to general anesthesia, especially when performed by experienced teams [11]. Younger age and female sex may increase susceptibility to anxiety during the procedure, highlighting the need for personalized psychological preparation and support. Comprehensive psychiatric assessments across all phases of AC can enhance patient outcomes, emphasizing the importance of tailored care. Preoperative anxiety can influence postoperative pain perception and recovery outcomes. A study assessing 20 patients’ psychological states before, during, and after surgery found that while AC did not worsen anxiety or depression, preoperative anxiety correlated with higher postoperative pain and discomfort, particularly on the third day after surgery [10]. In studies assessing AC for glioma treatment in eloquent areas, patients generally tolerated mild postoperative deficits, such as facial motor dysfunction and verbal speed reduction, perceiving these as acceptable trade-offs for preserving other cognitive functions [12]. A case series in a multilingual Asian population further underscored that preoperative cognitive and emotional states directly influenced health-related quality of life (HRQoL) outcomes post surgery. Patients with better preoperative cognitive scores reported higher HRQoL, while moderate preoperative depression and stress were associated with poorer outcomes, suggesting the need for targeted perioperative psychological care [13].
Despite the increase in research and technological advances supporting AC, a comprehensive understanding of the most impactful contributions to this field remains limited. Therefore, the aim of this study was to conduct a bibliometric analysis of the top 100 most influential articles on AC and their author distribution based on sex, identifying key research trends, highly cited works, influential authors, and institutions. In addition, a review of the technological advancements supporting AC was performed.
Review
Material and methods
Data Sources and Search Strategies
The scientific papers were retrieved from the Web of Science Core Collection (WoSCC) on September 17, 2024. To accomplish a thorough analysis of the publications and prevent any fluctuations in citation counts, there were no restrictions on the publication year and the search and download were conducted on the same day. This study included articles, review articles, proceeding papers, and early access. The following keywords were applied on the search: (("Awake craniotomy") (Title) OR ("Awake craniotomy") (Abstract) Not ("Bibliometric Analysis") (Title)). A total of 718 publications were downloaded in "plain text" format, with the record content set to "full record and cited references." After screening, no duplicates were identified. As this study used secondary data, ethical approval was not required.
Bibliometric Analysis
Annual scientific production: The data were analyzed using Biblioshiny, a web-based application integrated with R (version 4.2.2; R Foundation for Statistical Computing, Vienna, Austria; https://www.R-project.org/). Biblioshiny facilitates the visualization and analysis of bibliometric data, focusing on sources, authors, conceptual structures (e.g., thematic maps), and documents (including author keywords). It provides a comprehensive set of indicators to evaluate the contributions of countries, authors, institutions, and journals. Publication output over the years was assessed using the "Annual Scientific Production" function which allows visualization of the number of publications per year. The analysis was configured to aggregate the data by publication year, ensuring that trends over time could be accurately represented. The output was displayed as a line chart, showing the total number of publications for each year in the dataset. This visualization allowed for the identification of trends, such as periods of growth, decline, or consistent output in AC research. The resulting chart and corresponding data were exported for documentation. The results were cross-checked with the dataset to confirm that all publication years were accurately represented and no records were omitted.
Local citations and source production: The "Local Citations" metric was selected to identify the top 10 most locally cited sources, representing the number of times sources were cited by articles within the dataset, while H-index values were sought from Scimago Journal & Country Rank website (www.scimagojr.com) to provide additional context on the impact and productivity of the sources. The "Source Production" metric was used to determine the top 10 sources based on the number of articles published. The results were visualized and exported as tables, and finally, the findings were cross-validated with the original dataset to ensure accuracy and consistency. This approach provided robust and interpretable results, showcasing the most impactful and prolific sources in the field.
Top 100 most-cited documents: The "Most-Cited Documents" function was selected to identify the articles with the highest citation counts. The analysis was configured to rank all articles in the dataset by total citation count. From the ranked list of cited documents, the top 100 articles with the highest citation counts were isolated. These articles were examined for additional details such as their publication years, journals, and authors to provide context for their impact. The list of the top 100 most-cited articles was exported from Biblioshiny. The data was cross-validated against the original dataset to ensure accuracy, confirming that all articles and citation counts matched the source data. The results were analyzed to provide insights into the most influential studies in AC research, highlighting significant contributions and their citation impact within the field.
Author Distribution Based on Sex
The distribution of male and female authorship among the top 100 most-cited articles was calculated, and it focused on the first, second, and last authorship positions, which are key contributors to the academic authorship hierarchy. The extracted authors were searched online using their affiliation details to confirm their sex. Sources such as institutional profiles, professional websites, and academic biographies were used to gather this information. This step ensured accurate sex classification, particularly for names that might not be clearly identifiable. This data was aggregated to count the total number of male and female authors in each of the three authorship positions across all 100 articles. The aggregated data were analyzed to determine the distribution of male and female authors in each position. The results were presented using a table to visualize sex distribution trends among key authorship roles. For second authorship, only articles with at least three authors were included in the analysis, as this position is not applicable to single- or two-authored papers. Similarly, for last authorship, only articles with at least three authors were considered, as the concept of a last author does not exist in single-authored papers and is equivalent to the second author in two-authored papers. In single-authored papers, the count was placed on the first author position. In two-authored papers, the second author position was treated as a senior role. For three-author papers, all three positions first, second, and last authorship were included in the analysis, ensuring a comprehensive evaluation of authorship roles.
Results
The distribution of the 718 publications retrieved from the database was as follows: 85.8% were articles, followed by reviews (11.8%), proceeding papers (3.8%), and early access documents (0.8%). The majority of these publications were written in English (97.6%), followed by German (0.8%), Spanish (0.4%) and Japanese (0.4%), French (0.3%), and Czech (0.1%), Polish (0.1%), and Turkish (0.1%).
Annual Scientific Production
Analysis showed low and relatively steady publication output from 1989 to around 2013, with only minor fluctuations in article counts (Figure 1). After 2013, there was a sharp increase in the number of articles published on AC, peaking in 2021 with over 60 publications. The rise may reflect advancements in surgical techniques, or growing interest in the clinical outcomes and benefits of AC, leading to a surge in related research. In the last couple of years (2022-2023), the number of articles appeared to have slightly declined but remained significantly higher than in previous decades. This pattern suggests growing research interest in AC, especially in recent years.
Figure 1. Number of scientific articles on awake craniotomy published per year from 1989 to 2024.
The image was created by the authors using Biblioshiny.
Analysis showed significant fluctuations in citation averages over the years (Figure 2). This trend may indicate that while early studies on AC gained considerable attention and citations, more recent publications have not been cited as frequently. The decline in recent years could be influenced by a variety of factors, including the saturation of research in the field, a shift in research focus, or changes in citation practices.
Figure 2. Average citations per year for published articles on awake craniotomy from 1989 to 2024.
The image was created by the authors using Biblioshiny.
Local Citations and Source Production
An analysis of the most influential sources in AC was performed (Table 1). Regarding the top 10 locally cited sources, the Journal of Neurosurgery had the highest citations (2,611) and an H-index of 236, followed by Neurosurgery (2,000 citations, H-index 222) and Acta Neurochirurgica (820 citations, H-index 109). Notably, Neuroimage and Brain had high H-indices (418 and 380, respectively), reflecting their significant impact despite fewer citations. Publication activity ranked World Neurosurgery as the most prolific journal with 71 articles, followed by Journal of Neurosurgery (49 articles) and Neurosurgery (28 articles) (Table 2).
Table 1. Top 10 most local cited sources based on the total number of citations that each source has received on awake craniotomy studies.
Source | H-index | Citations |
Journal of Neurosurgery | 236 | 2611 |
Neurosurgery | 222 | 2000 |
Acta Neurochirurgica | 109 | 820 |
World Neurosurgery | 115 | 736 |
Anesthesia & Analgesia | 227 | 643 |
Journal of Neurosurgical Anesthesiology | 71 | 531 |
Journal of Neuro-Oncology | 163 | 440 |
Brain | 380 | 432 |
NeuroImage | 418 | 427 |
Anesthesiology | 267 | 365 |
Table 2. Top 10 relevant sources based on the number of articles published on awake craniotomy.
Source | Articles |
World Neurosurgery | 71 |
Journal of Neurosurgery | 49 |
Neurosurgery | 28 |
Journal of Neurosurgical Anesthesiology | 26 |
Acta Neurochirurgica | 24 |
Journal of Clinical Neuroscience | 21 |
Clinical Neurology and Neurosurgery | 18 |
British Journal of Neurosurgery | 16 |
Journal of Neuro-Oncology | 16 |
Cureus Journal of Medical Science | 15 |
Top 100 Most-Cited Documents
For the top 100 most-cited articles in neurosurgery, the leading article, authored by Haglund et al. in 1994 [14] and published in Neurosurgery, had accumulated 377 citations, averaging 12.16 citations per year. This was followed by Taylor et al.'s article [15] in the Journal of Neurosurgery with 288 citations, and Hervey-Jumper et al.'s article [16] in the same journal, which received 261 citations with an impressive average of 26.10 citations per year (Table 3). The list featured a blend of foundational and recent works, predominantly published in high-impact journals such as the Journal of Neurosurgery and Neurosurgical Focus.
Table 3. The top 100 most-cited papers on awake craniotomy .
Rank | Author | Source | TC | TC per Year | Normalized TC |
1 | Haglund et al. [14] | Neurosurgery | 377 | 12.16 | 1.77 |
2 | Taylor and Bernstein [15] | J Neurosurg | 288 | 11.08 | 1.81 |
3 | Hervey-Jumper et al. [16] | J Neurosurg | 261 | 26.10 | 9.27 |
4 | Szelényi et al. [17] | Neurosurg Focus | 258 | 17.20 | 4.59 |
5 | Bello et al. [18] | Neurosurgery | 222 | 12.33 | 3.46 |
6 | Lara-Velazquez et al. [19] | Brain Sci | 195 | 24.38 | 7.37 |
7 | Yetkin et al. [20] | Am J Neuroradiol | 188 | 6.71 | 2.69 |
8 | De Benedictis et al. [21] | Neurosurgery | 182 | 12.13 | 3.24 |
9 | Sacko et al [22] | Neurosurgery | 179 | 12.79 | 4.24 |
10 | Kim et al. [23] | Neurosurgery | 175 | 10.94 | 6.19 |
11 | Serletis and Bernstein [24] | J Neurosurg | 174 | 9.67 | 2.72 |
12 | Duffau et al. [25] | J Neurol Neurosur Ps | 139 | 6.04 | 2.87 |
13 | Nossek et al. [26] | J Neurosurg | 134 | 11.17 | 3.81 |
14 | Meyer et al. [27] | Mayo Clin Proc | 133 | 5.54 | 2.40 |
15 | Blanshard et al. [28] | Anesth Analg | 127 | 5.29 | 2.29 |
16 | Southwell et al. [29] | J Neurosurg | 127 | 14.11 | 4.76 |
17 | Sarang and Dinsmore [30] | Brit J Anaesth | 123 | 5.59 | 2.03 |
18 | Gupta et al. [31] | Clin Neurol Neurosur | 121 | 6.72 | 1.89 |
19 | Nossek et al. [32] | Neurosurgery | 116 | 9.67 | 3.30 |
20 | Bekker et al. [33] | Anesth Analg | 103 | 4.29 | 1.86 |
21 | Eseonu et al. [34] | Neurosurgery | 101 | 12.63 | 3.82 |
22 | Yamao et al. [35] | Hum Brain Mapp | 101 | 9.18 | 3.01 |
23 | Quiñones-Hinojosa et al. [36] | J Neurosurg | 101 | 4.59 | 1.67 |
24 | Ard et al. [37] | J Neurosurg Anesth | 99 | 4.50 | 1.63 |
25 | Whittle et al. [38] | Acta Neurochir | 99 | 4.95 | 2.26 |
26 | Boetto et al. [39] | World Neurosurg | 94 | 9.40 | 3.34 |
27 | Maldonado et al. [40] | J Neurosurg | 94 | 6.71 | 2.22 |
28 | Souter et al. [41] | J Neurosurg Anesth | 92 | 5.11 | 1.44 |
29 | Goettel et al. [42] | Brit J Anaesth | 92 | 10.22 | 3.45 |
30 | Manninen et al. [43] | Anesth Analg | 91 | 4.79 | 2.70 |
31 | Piccioni and Fanzio [44] | Minerva Anestesiol | 90 | 5.29 | 3.42 |
32 | Brown and Brown [45] | J Neurosurg Anesth | 89 | 7.42 | 2.53 |
33 | Bello et al. [46] | Neurosurgery | 89 | 4.68 | 2.64 |
34 | Khu et al. [47] | J Neurosurg | 87 | 5.80 | 1.55 |
35 | Mack et al. [48] | J Neurosurg Anesth | 79 | 3.76 | 2.69 |
36 | Stevanovic et al. [49] | Plos One | 78 | 8.67 | 2.93 |
37 | Hans et al. [50] | Anaesthesia | 71 | 2.84 | 1.81 |
38 | Gerritsen et al. [51] | Acta Neurochir-A | 70 | 11.67 | 5.29 |
39 | Hansen et al. [52] | Acta Neurochir | 70 | 5.83 | 1.99 |
40 | Bernstein [53] | Can J Neurol Sci | 68 | 2.83 | 1.23 |
41 | Herrick et al. [54] | Anesth Analg-A | 68 | 2.43 | 0.97 |
42 | Picht et al. [55] | Acta Neurochir | 65 | 3.42 | 1.93 |
43 | Costello et al. [56] | J Clin Neurosci | 65 | 3.10 | 2.21 |
44 | Chacko and Cormack [57] | Clin Neurol Neurosur | 63 | 5.25 | 1.79 |
45 | Rozet [58] | Curr Opin Anesthesio | 63 | 3.71 | 2.40 |
46 | Mäkelä et al. [59] | Hum Brain Mapp | 62 | 2.58 | 1.12 |
47 | Berkenstadt et al. [60] | J Neurosurg Anesth | 60 | 2.50 | 1.08 |
48 | Pereira et al. [61] | Acta Neurochir | 59 | 3.69 | 2.09 |
49 | Chang et al. [62] | J Neurosurg | 59 | 7.38 | 2.23 |
50 | Ard et al. [63] | Surg Neurol | 58 | 2.90 | 1.32 |
51 | Krieg et al. [64] | Bmc Neurosci | 58 | 5.27 | 1.73 |
52 | Duffau [65] | Neurosurg Rev | 58 | 8.29 | 3.14 |
53 | Manninen and Tan [66] | J Clin Anesth | 57 | 2.48 | 1.18 |
54 | Trinh et al. [67] | Neurosurgery | 56 | 4.67 | 1.59 |
55 | Lubrano et al. [68] | Neurosurgery | 55 | 3.67 | 0.98 |
56 | Flexman et al. [69] | J Neurosurg Anesth | 55 | 11.00 | 4.97 |
57 | Herrick et al. [70] | Anesth Analg | 54 | 1.93 | 0.77 |
58 | Saito et al. [71] | J Neurosurg | 54 | 4.91 | 1.61 |
59 | Gignac et al. [72] | Can J Anaesth | 53 | 1.66 | 1.00 |
60 | Frost and Booij [73] | Curr Opin Anesthesio | 53 | 2.94 | 0.83 |
61 | Fontaine et al. [74] | Brain | 53 | 7.57 | 2.87 |
62 | Papanicolaou et al. [75] | Epilepsia | 52 | 4.73 | 1.55 |
63 | Palese et al. [76] | Cancer Nurs | 51 | 3.00 | 1.94 |
64 | Wahab et al. [77] | Brit J Neurosurg | 51 | 3.64 | 1.21 |
65 | Gogos et al. [78] | J Neuro-Oncol | 51 | 10.20 | 4.61 |
66 | Lu et al. [79] | J Clin Neurosci | 51 | 4.25 | 1.45 |
67 | Chang et al. [80] | J Neurosurg | 51 | 3.64 | 1.21 |
68 | Sommer et al. [81] | Neurosurg Focus | 51 | 4.25 | 1.45 |
69 | Maldaun et al. [82] | J Neurosurg | 50 | 4.55 | 1.49 |
70 | Bilotta and Rosa [83] | Curr Opin Anesthesio | 50 | 3.13 | 1.77 |
71 | Brennan et al. [84] | Neuroimage | 50 | 2.78 | 0.78 |
72 | Roland et al. [85] | Epilepsy Behav | 49 | 3.27 | 0.87 |
73 | Saito et al. [86] | Neurol Med-Chir | 49 | 4.90 | 1.74 |
74 | Kemp et al. [87] | World Neurosurg | 49 | 3.77 | 2.35 |
75 | Venkatraghavan et al. [88] | Can J Anesth | 49 | 5.44 | 1.84 |
76 | Kim et al. [89] | Neurosurgery | 49 | 3.27 | 0.87 |
77 | Breshears et al. [90] | J Neurosurg | 49 | 4.90 | 1.74 |
78 | Grossman et al. [91] | Ann Surg Oncol | 48 | 4.00 | 1.36 |
79 | Klimek et al. [92] | Anaesthesia | 48 | 2.29 | 1.63 |
80 | Haglund et al. [93] | J Neurosci | 48 | 1.55 | 0.23 |
81 | Balogun et al. [94] | J Clin Neurosci | 47 | 4.27 | 1.40 |
82 | Cohen-Gadol et al. [95] | J Neurosurg | 47 | 2.14 | 0.78 |
83 | Garavaglia et al. [6] | J Neurosurg Anesth | 46 | 4.18 | 1.37 |
84 | Gonen et al. [96] | J Neurosurg | 46 | 4.18 | 1.37 |
85 | Alimohamadi et al. [97] | World Neurosurg | 46 | 5.11 | 1.73 |
86 | Goebel et al. [98] | Neurosurgery | 46 | 3.07 | 0.82 |
87 | Motomura et al. [99] | J Neurosurg | 46 | 4.18 | 1.37 |
88 | Milian et al. [100] | Acta Neurochir | 45 | 4.09 | 1.34 |
89 | Costello et al. [101] | Brit J Anaesth | 45 | 2.25 | 1.03 |
90 | Delion et al. [102] | World Neurosurg | 45 | 4.50 | 1.60 |
91 | Carrabba et al. [103] | Minim Invas Neurosur | 45 | 2.65 | 1.71 |
92 | Santini et al. [5] | J Neurosurg Anesth | 45 | 3.46 | 2.16 |
93 | Klijn et al. [104] | J Neurosurg | 45 | 3.75 | 1.28 |
94 | Olsen [105] | Eur J Anaesth | 45 | 2.65 | 1.71 |
95 | Leuthardt et al. [106] | Neurosurgery | 44 | 3.14 | 1.04 |
96 | Cannestra et al. [107] | Neurosurgery | 44 | 2.10 | 1.50 |
97 | Costello et al. [108] | J Neurosurg Anesth | 43 | 2.05 | 1.46 |
98 | Dziedzic and Bernstein [109] | Expert Rev Neurother | 43 | 3.91 | 1.28 |
99 | Meng et al. [110] | J Neurosurg Anesth | 43 | 4.30 | 1.53 |
100 | Eseonu et al. [111] | World Neurosurg | 43 | 5.38 | 1.62 |
Author Distribution Based on Sex
The distribution of author positions based on sex in a bibliometric analysis of the top 100 most-cited articles was calculated and presented in Table 4. It focused on the first, second, and last author roles. In all the author positions considered, most individuals were male. These results highlight sex disparities in authorship, especially in the senior authorship position.
Table 4. Distribution of male and female authorship positions among the top 100 most cited articles.
Male | Female | ||||
Position | Absolute | Relative | Absolute | Relative | Total |
First author | 77 | 77% | 23 | 23% | 100 |
Second author | 60 | 68.97% | 27 | 31.03% | 87 |
Last author | 84 | 87.5% | 12 | 12.5% | 96 |
Discussion
Annual Scientific Production and Local Citation
The trend of scientific production on AC over the past few decades reflects shifts in research interest. From 1989 to around 2013, the number of publications remained relatively low with minor fluctuations. This period likely represents the foundational stage of AC research, during which the feasibility and safety of the procedure were probably being explored in a limited number of centers. One of the first large studies that described the anesthetic experience with AC was published by Archer et al. in 1988 [112]. The low and steady scientific output on AC from 1989 to around 2013 can be partially attributed to its limited geographic adoption and the relatively slow dissemination of the practice globally. AC was primarily practiced in North America from the 1980s and only gradually expanded to Europe and later to Asia [113]. Its introduction into Asia, particularly after the early 2000s, holds significance due to the region's large patient population and the relatively low resource requirements of AC, making it a feasible and cost-effective surgical option. In the late 1990s, while case reports began emerging from Asian countries like Japan, India, and Thailand, these were largely published in local neurosurgical journals, limiting their international visibility and impact on global scientific output [114]. Additionally, countries such as China and Indonesia only introduced AC between 2003 and 2007, further reflecting the delayed adoption of the technique in certain regions [114].
The period between 1989 and 2013 can also be linked to the gradual evolution and dissemination of this technique. AC, though rooted in ancient practices such as trepanation for seizures and other ailments, only emerged in its modern form with the application of brain mapping for the surgical removal of epileptic foci. Over time, advancements expanded its use to the resection of tumors in functional cortical areas and, more recently, to supratentorial tumors without selective involvement of the eloquent cortex [114]. The sharp increase in publications after 2013 aligns with the broader global adoption of AC, advancements in surgical and anesthetic techniques, and a growing recognition of its benefits in preserving neurological function. As the technique gained traction across continents, particularly in Asia, it likely spurred more widespread research collaborations and higher visibility in international journals, contributing to the surge in publication output.
Top 100 Most-Cited Articles
The analysis of the top 100-most cited articles highlights the field's evolution and the impact of pioneering studies in enhancing surgical, anesthetic, and neuro-oncological techniques. The highly cited Haglund et al.'s study, "Cortical Localization of Temporal Lobe Language Sites in Patients with Gliomas," is foundational in AC research due to its focus on accurately mapping language areas to preserve function during glioma surgery [14]. By using AC for direct cortical stimulation in conscious patients, this study offered a crucial approach to minimize language deficits post surgery, which has since shaped protocols for balancing tumor resection with functional preservation. Its insights into language site localization have not only improved patient outcomes but also established a standard for subsequent innovations in brain mapping and neurosurgical techniques. Haglund et al.'s was the oldest article on the list [14], followed by Taylor and Bernstein [15], giving these studies considerably more time to accumulate citations compared to more recent publications. By analyzing 200 cases, Taylor and Bernstein [15] demonstrated that AC enabled maximal tumor removal, minimized neurological deficits, and reduced ICU and hospital stays. They established AC with brain mapping as a standard approach for safely resecting supratentorial intra-axial tumors.
More recent publications, like that of Hervey-Jumper et al. [16] and Lara-Velazquez et al. [19], showed a significant increase in the average citations per year. Hervey-Jumper's work emphasized advancements in intraoperative mapping and imaging. Hervey-Jumper et al.'s article [16] was highly cited perhaps due to its comprehensive analysis of AC techniques and outcomes for glioma resection over a 27-year period. They recorded improvements in seizure management that have also contributed to reducing complications. Szelényi et al. contributed to a growing body of literature on monitoring techniques that help to mitigate neurological risks [17]. The article provided a comprehensive review of intraoperative electrical stimulation techniques for AC, especially in the context of low-grade glioma surgery. By including participant's personal experiences and discussions with the European Low-Grade Glioma Network, the article offered practical guidelines on brain mapping that have helped standardize approaches across neurosurgical centers. Similarly, Bello et al. addressed the intraoperative use of neurophysiological monitoring, which has become a cornerstone in the field, helping surgeons preserve patient motor and cognitive functions during tumor resection [18]. The article by Lara-Velazquez et al. provided an extensive review of advanced surgical approaches for glioblastoma (GBM), the most aggressive primary brain tumor [19]. This work outlined innovative techniques, such as AC, fluorescence-guided surgery, laser interstitial thermal therapy, and intraoperative mass spectrometry, which could have contributed to it being the sixth highly cited article.
Among anesthetic-focused studies, Yetkin et al. [20] and Kim et al. [23] provided foundational insights into the safe administration of anesthesia during AC procedures. Yetkin et al’s work, helped shape protocols for neuroanesthesia, while Kim et al.’s article focused on optimizing patient comfort and managing airway and consciousness levels during surgery. Souter et al. also provided insights into anesthetic management, with an emphasis on minimizing systemic effects, which is critical for the high-risk patient populations often undergoing ACs [41].
De Benedictis et al.'s study was highly cited probably for demonstrating that AC with intraoperative mapping enables a more extensive and safer resection of low-grade gliomas in eloquent areas compared to traditional surgery [21]. By directly comparing outcomes from surgeries with and without awake mapping in the same patients, the study highlighted the effectiveness of intraoperative brain stimulation in maximizing tumor removal while preserving critical brain functions. The technique allowed surgeons to perform resections based on functional boundaries, reducing postoperative morbidity and enhancing quality of life. Although the study involved a limited number of cases, the growing adoption of awake brain mapping reflects its increasing safety, feasibility, and reproducibility. The authors recommended that there is a need to expand this approach through multidisciplinary and multicenter studies with standardized data collection to facilitate more accurate comparisons across treatment methods. Sacko et al. compared AC with intraoperative brain mapping to surgery under general anesthesia for the resection of supratentorial lesions [22]. By analyzing outcomes in a large cohort, the study demonstrated that AC significantly improved neurological outcomes and the extent of resection for tumors near functional brain regions. AC patients also had shorter ICU and hospital stays, fewer complications, and better functional preservation than those treated with GA. This evidence-based support for AC’s advantages, backed by its large sample size and clear comparative findings, has made it an influential reference in neurosurgery.
Comparative studies between awake and traditional craniotomy highlight significant advantages of AC in specific aspects of patient care. Sacko et al. [22] and Vigren et al. [115] reported that AC is both safe and effective, with Sacko observing improved neurological outcomes and resection quality, while Vigren notes its feasibility in patients previously deemed inoperable. Hol et al. support these findings by demonstrating that AC produces fewer alterations in plasma amino acid profiles, suggesting a potentially lower metabolic impact compared to traditional craniotomy [116]. Additionally, Eseonu et al. compared two sedation methods for AC and found that both are safe and effective, with monitored anesthesia care yielding shorter operative times [34]. Zelitzki et al. reported better neurological outcomes, early postoperative motor function, and shorter hospital stays with AC [117]. Notably, these studies did not extensively assess long-term functional status and quality of life, or the importance of patient-specific factors in optimizing these outcomes, suggesting the need for further research focused on long-term quality of life and functional recovery in patients undergoing awake versus traditional craniotomy. While AC shows promising results, some studies present mixed findings, for example, Gravesteijn et al. reported comparable outcomes in resection extent, neurological status, and survival rates between the two methods [118].
Several other top-ranking studies contributed valuable insights into the use of AC across diverse neurological conditions. For instance, two different studies by Nossek et al. examined AC applicability for brain tumors and epilepsy surgery [26,32]. These articles discussed the growing consensus on AC benefits in complex neurological cases and highlighted the importance of developing specialized protocols for patient monitoring and comfort. Duffau’s et al.'s study is highly influential in advocating for functional preservation during glioma surgery, helping surgeons to achieve maximal tumor resection with minimal impact on neurological function [25]. Their study laid the groundwork for the now-common practice of mapping critical functional areas intraoperatively.
Other noteworthy studies in the top 20 included those by Meyer et al. [27] and Blanshard et al. [28], which collectively emphasized safety and anesthetic considerations that minimize patient discomfort and physiological disturbances during awake procedures. Both studies discussed protocols that ensure patient safety while allowing real-time neurological assessments. More recent studies like those by Southwell et al. [29] and Eseonu et al. [34] demonstrated the evolution of AC protocols to accommodate newer technologies like neuronavigation and advanced neuroimaging. Southwell’s work is particularly notable for investigating AC outcomes in a more diverse patient population, reflecting the procedure’s expanding application beyond traditional glioma cases.
Yamao et al. [35] and Quinones-Hinojosa et al. [36] contributed to the understanding of brain mapping techniques, which are integral to AC success. These articles also underscore the procedure's critical role in neurological preservation. Together, these top 20 publications collectively reinforce the procedure's value in neurosurgical practice, highlighting ongoing improvements in technique, patient safety, and functional outcomes. The continued integration of new technologies and collaborative efforts across surgical and anesthetic fields will likely further elevate the role of AC in neuro-oncology and beyond, solidifying its status as a crucial tool for modern neurosurgery.
Author Distribution Based on Sex
The analysis of authorship demographics categorized by sex revealed that the majority of the first authors in the top 100 most-cited articles were male, compared to only 23% being female. The sex distribution is even more skewed in the last authorship position, with just under 14% of authors being female. These findings align with the overall proportion of females in the field of neurosurgery, who constitute 19% of all board-certified neurosurgeons globally [119]. The most pronounced disparity in the number of female neurosurgeons was observed in Europe, where the highest proportion was in Italy and the lowest in Cyprus and Kosovo, at 36% and 0%, respectively [120].
The study by Aslan et al., which analyzed 3,247 original articles over a 15-year period, assessed sex distribution among authors [121]. The proportion of female authors in the first author position showed a notable increase from 12% to 16%, but senior authorship positions saw a decline from 11.7% in 2003 to 10.5% in 2018 [121]. Although there is a general upward trend in female neurosurgeons participating in research, this progress remains insufficient, as the sex disparity is still significant. Furthermore, there is a striking sex gap in academic neurosurgery, with 92.55% of leadership positions occupied by male authors [122]. These findings highlight the remarkable underrepresentation of females in both non-academic and academic neurosurgery.
Several factors have been identified as contributing to this significant sex disparity, including cultural and social differences, workplace harassment, and challenges in maintaining a work-life balance [123]. According to Zeitlberger et al., female neurosurgeons were more likely to experience discrimination from colleagues as well as from patients and their families [124]. Among respondents, 88% of females and 38.1% of males reported experiencing sex inequity at work. Female neurosurgeons were found to be 4.3 times more likely to face discrimination from colleagues and 3.6 times more likely to face discrimination from patients or relatives. Additionally, 78% of females stated that they felt they had to work harder than their male counterparts to achieve the same level of recognition. Lulla et al. conducted a comprehensive review of factors contributing to sex disparities [120]. Lifestyle was identified as a major barrier preventing females from entering neurosurgical training. Female respondents were also less likely to be married or have children compared to their male colleagues. In Japan, a survey of women leaving neurosurgical positions indicated that the majority cited difficulty balancing a neurosurgical career with motherhood as the primary reason for leaving [125]. Career satisfaction was another key factor in the sex gap. Female neurosurgeons reported lower career fulfillment compared to their male counterparts and were less likely to choose this career again [125].
Overall, more women are entering neurosurgical training each year. While progress has been slow, the trend toward closing the sex gap and achieving equity in opportunities and career goals is steadily improving. However, significant challenges remain, with discrimination, career satisfaction, and work-life balance being the most critical issues. To address these disparities, cultural change is necessary to ensure that the achievements of female neurosurgeons are recognized by their male counterparts, fostering a supportive and inclusive work environment.
Technological Advancements in AC
Innovative tools for brain mapping: A recent study focused on developing a digital platform, map-OR, to facilitate intraoperative language testing and collaborative data sharing for ACs. The mixed-methods research included international surveys with AC teams from 14 countries, synthesis of guiding principles, and risk assessment. Six technologies were identified for language mapping, utilizing portable devices and virtual reality headsets. The study also highlighted factors influencing the adoption of surgical technologies. Survey data showed that over half of the teams used digital language testing methods, primarily tablet computers and Microsoft PowerPoint. The study identified four key risks, with software and connectivity issues as primary concerns, establishing a structured framework for digital language testing and data sharing in AC [126].
Enhanced intraoperative language monitoring: A systematic review of 102 studies (up to July 2020) examined speech and language errors in glioma patients undergoing AC with direct electrical stimulation (DES). The review found that although cortical areas were more frequently studied, approximately 40% of errors were linked to subcortical regions. Patterns of speech and language error localization aligned with the dual-stream language processing model and the Dutch Linguistic Intraoperative Protocol (DuLIP). Additional locations for specific language functions, including motor speech, phonology, reading, and writing, were also identified, leading to an updated DuLIP model. This model can guide task selection during AC, enhancing intraoperative monitoring and postoperative language outcomes [127].
Recent advancements in imaging and procedural techniques are enhancing the precision and outcomes of AC. Virtual reality (VR) and augmented reality (AR) are increasingly utilized to aid intraoperative navigation and cognitive assessment. VR enables surgeons to visualize detailed, three-dimensional (3D) anatomical structures in real time and evaluate neurological functions during AC, offering insights into cognitive domains such as attention, memory, and language processing [128]. AR, meanwhile, overlays critical imaging data, like tumor boundaries and adjacent structures, onto the surgical field, reducing intraoperative cognitive load and improving the precision of resection in eloquent areas [128].
Diffusion tractography (DT) is another innovation supporting AC. A study of 100 procedures integrating DT with intraoperative stimulation found that DT predictions aligned closely with intraoperative findings, demonstrating high sensitivity (92.2%) in mapping spatial relationships but moderate specificity in predicting functional outcomes. DT was particularly valuable in assessing postoperative recovery potential, helping to identify tract preservation and forecast recovery trajectories in patients with transient deficits [129].
The combination of AC with intraoperative MRI (iMRI) has also shown significant benefits in maximizing tumor resection. In a review of 33 cases, iMRI identified residual tumors in 64% of patients, enabling additional resection and resulting in a maximal extent of resection (>90%) in half of these cases [129]. This approach proved especially beneficial for complex tumors in challenging locations, such as the insular lobe, where it facilitated an increased resection extent, potentially improving patient outcomes. For arteriovenous malformations (AVMs) near language areas, AC combined with cortical and subcortical mapping enables safe resection while preserving language function. In a series of AVM resections, cortical and subcortical stimulation minimized language deficits, with no permanent neurological complications reported, underscoring the efficacy of this approach in complex cases [130].
Challenges and Limitations
AC presents unique physical and psychological challenges for both patients and the surgical team. Patients may experience anxiety, discomfort, and postoperative emotional effects. While studies such as that by Tang and Tan [131] emphasize the importance of close communication and management strategies to address potential complications like intraoperative nausea or loss of cooperation, others, such as that by Hejrati et al. [10] and Wajer et al. [9] report that although some patients experience anxiety or depressive symptoms postoperatively, these do not significantly exceed preoperative levels. Psychological support tailored to each patient is crucial, as Starowicz-Filip et al. highlight the occasional anxiety patients may feel about the procedure [132].
The surgical team must navigate technical challenges, including maintaining patient comfort and cooperation during awake procedures while managing risks like airway loss or seizures [131]. Introducing specialized personnel, such as intraoperative monitoring technicians, adds complexity, but with clear roles, they enhance patient outcomes [133]. Although resource-intensive, AC has been successfully adapted for low- and middle-income countries, improving access to neurosurgery [134]. Nevertheless, limitations due to specialized equipment and personnel needs, such as neuropsychologists and neurophysiologists, may restrict its widespread implementation in resource-constrained settings [135]. Nonetheless, evidence supports its feasibility and effectiveness even with limited resources, yielding favorable functional and oncologic outcomes and benefits in specific cases, like cerebral arteriovenous malformation resection [136,137]. Similarly, Bharadwaj et al. reported that while some patients experienced discomfort, anxiety, or fear, most coped well when adequately informed and supported, highlighting the need for patient-centered strategies to enhance comfort and manage anxiety [138]. In South America, AC adoption has shown benefits like reduced hospital time, faster recovery, and lower morbidity, yet infrastructure limitations, lack of equipment, and workforce shortages continue to challenge its expansion [138]. Addressing these barriers is essential to maximizing AC's impact on neurosurgical care in the region.
Limitations of the Study
This study is limited by the fact that the data were retrieved from a single database (Web of Science Core Collection), which may not capture all relevant publications or fully represent the field, potentially excluding important research. Moreover, the study relies on citation counts and the number of publications as a measure of impact, which may not fully reflect the quality or influence of a study, as newer articles may not yet have accumulated significant citations. Although the study focused on publications related to AC, the results may not account for all variations in terminology or research scope within the broader field. Future studies should expand data sources and consider alternative metrics for assessing research impact
Conclusions
This bibliometric analysis of the top 100 most-cited articles on AC brought out the significant growth and evolution of AC neurosurgical technique, particularly after 2013. AC has been established as the gold standard for tumor resection near eloquent brain regions, enabling maximal resection while preserving critical functions like speech and motor control. Technological advancements, including intraoperative MRI, diffusion tractography, and augmented/virtual reality, have refined AC by improving surgical precision and patient outcomes. Despite these advancements, challenges persist in patient selection, intraoperative management, and addressing psychological impacts. The study highlighted significant gender disparities in authorship, reflecting broader inequities in neurosurgery and academic medicine. Future research should focus on long-term outcomes, advanced mapping techniques for complex cognitive functions, and adapting AC for resource-limited settings. Overall, AC continues to revolutionize neurosurgical care, balancing oncological efficacy with functional preservation.
Acknowledgments
We are grateful to Zeiki Medical for sponsoring our work, as their support has been invaluable to our contributions to the scientific community. Billy McBenedict, Bruno Lima Pessôa, and Wilhelmina Hauwanga are senior authors. Yan Bin Fong, Ebigbo Emmanuel Obinna, Anna Pogodina, Swetapadma Puadhan, Syeda Sukaina Kazmi and José Geraldo Medeiros Netto contributed equally. Artificial Intelligence (AI) was not used in the writing of this manuscript.
Funding Statement
Zeiki Medical, Rio de Janeiro, Brazil, sponsored our work
Disclosures
Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following:
Payment/services info: Zeiki Medical, Rio de Janeiro, Brazil, sponsored our work.
Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work.
Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.
Author Contributions
Concept and design: Wilhelmina N. Hauwanga, Billy McBenedict, Bruno Lima Pessôa, Yan Bin Fong, Anna Pogodina, Syeda Sukaina Kazmi, José Geraldo M. Netto
Acquisition, analysis, or interpretation of data: Wilhelmina N. Hauwanga, Billy McBenedict, Bruno Lima Pessôa, Anna Pogodina, José Geraldo M. Netto, Swetapadma Pradhan, Ebigbo E. Obinna
Drafting of the manuscript: Wilhelmina N. Hauwanga, Billy McBenedict, Bruno Lima Pessôa, Yan Bin Fong, Anna Pogodina, Syeda Sukaina Kazmi, José Geraldo M. Netto, Swetapadma Pradhan, Ebigbo E. Obinna
Critical review of the manuscript for important intellectual content: Wilhelmina N. Hauwanga, Billy McBenedict, Bruno Lima Pessôa, Yan Bin Fong, Syeda Sukaina Kazmi, Swetapadma Pradhan, Ebigbo E. Obinna
Supervision: Wilhelmina N. Hauwanga, Billy McBenedict, Bruno Lima Pessôa
References
- 1.Singh K, Dua A. StatPearls. Treasure Island (FL): StatPearls Publishing; 2023. Anesthesia for awake craniotomy. [PubMed] [Google Scholar]
- 2.A novel tablet computer platform for advanced language mapping during awake craniotomy procedures. Morrison MA, Tam F, Garavaglia MM, et al. J Neurosurg. 2016;124:938–944. doi: 10.3171/2015.4.JNS15312. [DOI] [PubMed] [Google Scholar]
- 3.Awake craniotomy in a patient with previously diagnosed post-traumatic stress disorder. Marenco-Hillembrand L, Suarez-Meade P, Sabsevitz DS, Leone BJ, Chaichana KL. World Neurosurg. 2020;139:7–11. doi: 10.1016/j.wneu.2020.03.194. [DOI] [PubMed] [Google Scholar]
- 4.Is a wake-up call in order? Review of the evidence for awake craniotomy. Paldor I, Drummond KJ, Awad M, Sufaro YZ, Kaye AH. J Clin Neurosci. 2016;23:1–7. doi: 10.1016/j.jocn.2015.11.004. [DOI] [PubMed] [Google Scholar]
- 5.Eligibility criteria and psychological profiles in patient candidates for awake craniotomy: a pilot study. Santini B, Talacchi A, Casagrande F, Casartelli M, Savazzi S, Procaccio F, Gerosa M. J Neurosurg Anesthesiol. 2012;24:209–216. doi: 10.1097/ANA.0b013e3182464aec. [DOI] [PubMed] [Google Scholar]
- 6.Anesthetic approach to high-risk patients and prolonged awake craniotomy using dexmedetomidine and scalp block. Garavaglia MM, Das S, Cusimano MD, Crescini C, Mazer CD, Hare GM, Rigamonti A. J Neurosurg Anesthesiol. 2014;26:226–233. doi: 10.1097/ANA.0b013e3182a58aba. [DOI] [PubMed] [Google Scholar]
- 7.Awake craniotomy during pregnancy: a systematic review of the published literature. Mofatteh M, Mashayekhi MS, Arfaie S, et al. Neurosurg Rev. 2023;46:290. doi: 10.1007/s10143-023-02187-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.What helps patients to prepare for and cope during awake craniotomy? A prospective qualitative study. Bala A, Olejnik A, Dziedzic T, Piwowarska J, Podgórska A, Marchel A. J Neuropsychol. 2024;18:30–46. doi: 10.1111/jnp.12311. [DOI] [PubMed] [Google Scholar]
- 9.Awake craniotomy does not lead to increased psychological complaints. Wajer IM, Kal J, Robe PA, van Zandvoort MJ, Ruis C. Acta Neurochir (Wien) 2023;165:2505–2512. doi: 10.1007/s00701-023-05615-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Conscious experience and psychological consequences of awake craniotomy. Hejrati N, Spieler D, Samuel R, Regli L, Weyerbrock A, Surbeck W. World Neurosurg. 2019;129:0–6. doi: 10.1016/j.wneu.2019.05.156. [DOI] [PubMed] [Google Scholar]
- 11.Stress, anxiety, and depression associated with awake craniotomy: a systematic review. Mofatteh M, Mashayekhi MS, Arfaie S, et al. Neurosurgery. 2023;92:225–240. doi: 10.1227/neu.0000000000002224. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Neuropsychological function and quality of life after resection of suspected lower-grade glioma in the face primary motor area. Stålnacke M, Bergenheim T, Sjöberg RL. J Clin Med. 2021;10:580. doi: 10.3390/jcm10040580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Cognition, emotional states and health-related quality of life in awake craniotomy for glioma: a case series. Tan J, Loh NW, Chan HM, Teo K, Lim MJ. World Neurosurg. 2023;179:0–43. doi: 10.1016/j.wneu.2023.08.115. [DOI] [PubMed] [Google Scholar]
- 14.Cortical localization of temporal lobe language sites in patients with gliomas. Haglund MM, Berger MS, Shamseldin M, Lettich E, Ojemann GA. Neurosurgery. 1994;34:567–576. doi: 10.1227/00006123-199404000-00001. [DOI] [PubMed] [Google Scholar]
- 15.Awake craniotomy with brain mapping as the routine surgical approach to treating patients with supratentorial intraaxial tumors: a prospective trial of 200 cases. Taylor MD, Bernstein M. J Neurosurg. 1999;90:35–41. doi: 10.3171/jns.1999.90.1.0035. [DOI] [PubMed] [Google Scholar]
- 16.Awake craniotomy to maximize glioma resection: methods and technical nuances over a 27-year period. Hervey-Jumper SL, Li J, Lau D, Molinaro AM, Perry DW, Meng L, Berger MS. J Neurosurg. 2015;123:325–339. doi: 10.3171/2014.10.JNS141520. [DOI] [PubMed] [Google Scholar]
- 17.Intraoperative electrical stimulation in awake craniotomy: methodological aspects of current practice. Szelényi A, Bello L, Duffau H, et al. Neurosurg Focus. 2010;28:0. doi: 10.3171/2009.12.FOCUS09237. [DOI] [PubMed] [Google Scholar]
- 18.Intraoperative subcortical language tract mapping guides surgical removal of gliomas involving speech areas. Bello L, Gallucci M, Fava M, et al. Neurosurgery. 2007;60:67–82. doi: 10.1227/01.NEU.0000249206.58601.DE. [DOI] [PubMed] [Google Scholar]
- 19.Advances in brain tumor surgery for glioblastoma in adults. Lara-Velazquez M, Al-Kharboosh R, Jeanneret S, et al. Brain Sci. 2017;7:166. doi: 10.3390/brainsci7120166. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Functional MR activation correlated with intraoperative cortical mapping. Yetkin FZ, Mueller WM, Morris GL, et al. http://pmc.ncbi.nlm.nih.gov/articles/PMC8338039/ AJNR Am J Neuroradiol. 1997;18:1311–1315. [PMC free article] [PubMed] [Google Scholar]
- 21.Awake mapping optimizes the extent of resection for low-grade gliomas in eloquent areas. De Benedictis A, Moritz-Gasser S, Duffau H. Neurosurgery. 2010;66:1074–1084. doi: 10.1227/01.NEU.0000369514.74284.78. [DOI] [PubMed] [Google Scholar]
- 22.Awake craniotomy vs surgery under general anesthesia for resection of supratentorial lesions. Sacko O, Lauwers-Cances V, Brauge D, Sesay M, Brenner A, Roux FE. http://10.1227/NEU.0b013e31820c02a3. Neurosurgery. 2011;68:1192–1199. doi: 10.1227/NEU.0b013e31820c02a3. [DOI] [PubMed] [Google Scholar]
- 23.Awake craniotomy for brain tumors near eloquent cortex: correlation of intraoperative cortical mapping with neurological outcomes in 309 consecutive patients. Kim SS, McCutcheon IE, Suki D, et al. Neurosurgery. 2009;64:836–846. doi: 10.1227/01.NEU.0000342405.80881.81. [DOI] [PubMed] [Google Scholar]
- 24.Prospective study of awake craniotomy used routinely and nonselectively for supratentorial tumors. Serletis D, Bernstein M. J Neurosurg. 2007;107:1–6. doi: 10.3171/JNS-07/07/0001. [DOI] [PubMed] [Google Scholar]
- 25.Intraoperative mapping of the cortical areas involved in multiplication and subtraction: an electrostimulation study in a patient with a left parietal glioma. Duffau H, Denvil D, Lopes M, Gasparini F, Cohen L, Capelle L, Van Effenterre R. J Neurol Neurosurg Psychiatry. 2002;73:733–738. doi: 10.1136/jnnp.73.6.733. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Failed awake craniotomy: a retrospective analysis in 424 patients undergoing craniotomy for brain tumor. Nossek E, Matot I, Shahar T, et al. J Neurosurg. 2013;118:243–249. doi: 10.3171/2012.10.JNS12511. [DOI] [PubMed] [Google Scholar]
- 27.Awake craniotomy for aggressive resection of primary gliomas located in eloquent brain. Meyer FB, Bates LM, Goerss SJ, et al. Mayo Clin Proc. 2001;76:677–687. doi: 10.4065/76.7.677. [DOI] [PubMed] [Google Scholar]
- 28.Awake craniotomy for removal of intracranial tumor: considerations for early discharge. Blanshard HJ, Chung F, Manninen PH, Taylor MD, Bernstein M. Anesth Analg. 2001;92:89–94. doi: 10.1097/00000539-200101000-00018. [DOI] [PubMed] [Google Scholar]
- 29.Intraoperative mapping during repeat awake craniotomy reveals the functional plasticity of adult cortex. Southwell DG, Hervey-Jumper SL, Perry DW, Berger MS. J Neurosurg. 2016;124:1460–1469. doi: 10.3171/2015.5.JNS142833. [DOI] [PubMed] [Google Scholar]
- 30.Anaesthesia for awake craniotomy--evolution of a technique that facilitates awake neurological testing. Sarang A, Dinsmore J. Br J Anaesth. 2003;90:161–165. doi: 10.1093/bja/aeg037. [DOI] [PubMed] [Google Scholar]
- 31.Awake craniotomy versus surgery under general anesthesia for resection of intrinsic lesions of eloquent cortex--a prospective randomised study. Gupta DK, Chandra PS, Ojha BK, Sharma BS, Mahapatra AK, Mehta VS. Clin Neurol Neurosurg. 2007;109:335–343. doi: 10.1016/j.clineuro.2007.01.008. [DOI] [PubMed] [Google Scholar]
- 32.Intraoperative seizures during awake craniotomy: incidence and consequences: analysis of 477 patients. Nossek E, Matot I, Shahar T, et al. Neurosurgery. 2013;73:135–140. doi: 10.1227/01.neu.0000429847.91707.97. [DOI] [PubMed] [Google Scholar]
- 33.The use of dexmedetomidine infusion for awake craniotomy. Bekker AY, Kaufman B, Samir H, Doyle W. Anesth Analg. 2001;92:1251–1253. doi: 10.1097/00000539-200105000-00031. [DOI] [PubMed] [Google Scholar]
- 34.Awake craniotomy vs craniotomy under general anesthesia for perirolandic gliomas: evaluating perioperative complications and extent of resection. Eseonu CI, Rincon-Torroella J, ReFaey K, Lee YM, Nangiana J, Vivas-Buitrago T, Quiñones-Hinojosa A. Neurosurgery. 2017;81:481–489. doi: 10.1093/neuros/nyx023. [DOI] [PubMed] [Google Scholar]
- 35.Intraoperative dorsal language network mapping by using single-pulse electrical stimulation. Yamao Y, Matsumoto R, Kunieda T, et al. Hum Brain Mapp. 2014;35:4345–4361. doi: 10.1002/hbm.22479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Preoperative correlation of intraoperative cortical mapping with magnetic resonance imaging landmarks to predict localization of the Broca area. Quiñones-Hinojosa A, Ojemann SG, Sanai N, Dillon WP, Berger MS. J Neurosurg. 2003;99:311–318. doi: 10.3171/jns.2003.99.2.0311. [DOI] [PubMed] [Google Scholar]
- 37.Awake craniotomy with dexmedetomidine in pediatric patients. Ard J, Doyle W, Bekker A. J Neurosurg Anesthesiol. 2003;15:263–266. doi: 10.1097/00008506-200307000-00015. [DOI] [PubMed] [Google Scholar]
- 38.Patient perceptions of "awake" brain tumour surgery. Whittle IR, Midgley S, Georges H, Pringle AM, Taylor R. Acta Neurochir (Wien) 2005;147:275–277. doi: 10.1007/s00701-004-0445-7. [DOI] [PubMed] [Google Scholar]
- 39.Low rate of intraoperative seizures during awake craniotomy in a prospective cohort with 374 supratentorial brain lesions: electrocorticography is not mandatory. Boetto J, Bertram L, Moulinié G, Herbet G, Moritz-Gasser S, Duffau H. World Neurosurg. 2015;84:1838–1844. doi: 10.1016/j.wneu.2015.07.075. [DOI] [PubMed] [Google Scholar]
- 40.Surgery for gliomas involving the left inferior parietal lobule: new insights into the functional anatomy provided by stimulation mapping in awake patients. Maldonado IL, Moritz-Gasser S, de Champfleur NM, Bertram L, Moulinié G, Duffau H. J Neurosurg. 2011;115:770–779. doi: 10.3171/2011.5.JNS112. [DOI] [PubMed] [Google Scholar]
- 41.Dexmedetomidine sedation during awake craniotomy for seizure resection: effects on electrocorticography. Souter MJ, Rozet I, Ojemann JG, Souter KJ, Holmes MD, Lee L, Lam AM. J Neurosurg Anesthesiol. 2007;19:38–44. doi: 10.1097/01.ana.0000211027.26550.24. [DOI] [PubMed] [Google Scholar]
- 42.Dexmedetomidine vs propofol-remifentanil conscious sedation for awake craniotomy: a prospective randomized controlled trial. Goettel N, Bharadwaj S, Venkatraghavan L, Mehta J, Bernstein M, Manninen PH. Br J Anaesth. 2016;116:811–821. doi: 10.1093/bja/aew024. [DOI] [PubMed] [Google Scholar]
- 43.Patient satisfaction with awake craniotomy for tumor surgery: a comparison of remifentanil and fentanyl in conjunction with propofol. Manninen PH, Balki M, Lukitto K, Bernstein M. Anesth Analg. 2006;102:237–242. doi: 10.1213/01.ANE.0000181287.86811.5C. [DOI] [PubMed] [Google Scholar]
- 44.Management of anesthesia in awake craniotomy. Piccioni F, Fanzio M. http://pubmed.ncbi.nlm.nih.gov/18612268/ Minerva Anestesiol. 2008;74:393–408. [PubMed] [Google Scholar]
- 45.Awake craniotomy for brain tumor resection: the rule rather than the exception? Brown T, Shah AH, Bregy A, et al. J Neurosurg Anesthesiol. 2013;25:240–247. doi: 10.1097/ANA.0b013e318290c230. [DOI] [PubMed] [Google Scholar]
- 46.Intraoperative language localization in multilingual patients with gliomas. Bello L, Acerbi F, Giussani C, et al. Neurosurgery. 2006;59:115–125. doi: 10.1227/01.NEU.0000219241.92246.FB. [DOI] [PubMed] [Google Scholar]
- 47.Patients' perceptions of awake and outpatient craniotomy for brain tumor: a qualitative study. Khu KJ, Doglietto F, Radovanovic I, Taleb F, Mendelsohn D, Zadeh G, Bernstein M. J Neurosurg. 2010;112:1056–1060. doi: 10.3171/2009.6.JNS09716. [DOI] [PubMed] [Google Scholar]
- 48.Dexmedetomidine and neurocognitive testing in awake craniotomy. Mack PF, Perrine K, Kobylarz E, Schwartz TH, Lien CA. J Neurosurg Anesthesiol. 2004;16:20–25. doi: 10.1097/00008506-200401000-00005. [DOI] [PubMed] [Google Scholar]
- 49.Anaesthesia management for awake craniotomy: systematic review and meta-analysis. Stevanovic A, Rossaint R, Veldeman M, Bilotta F, Coburn M. PLoS One. 2016;11:0. doi: 10.1371/journal.pone.0156448. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Target-controlled infusion of propofol and remifentanil combined with bispectral index monitoring for awake craniotomy. Hans P, Bonhomme V, Born JD, Maertens de Noordhoudt A, Brichant JF, Dewandre PY. Anaesthesia. 2000;55:255–259. doi: 10.1046/j.1365-2044.2000.01277.x. [DOI] [PubMed] [Google Scholar]
- 51.The SAFE-trial: safe surgery for glioblastoma multiforme: Awake craniotomy versus surgery under general anesthesia. Study protocol for a multicenter prospective randomized controlled trial. Gerritsen JK, Klimek M, Dirven CM, et al. Contemp Clin Trials. 2020;88:105876. doi: 10.1016/j.cct.2019.105876. [DOI] [PubMed] [Google Scholar]
- 52.Awake craniotomies without any sedation: the awake-awake-awake technique. Hansen E, Seemann M, Zech N, Doenitz C, Luerding R, Brawanski A. Acta Neurochir (Wien) 2013;155:1417–1424. doi: 10.1007/s00701-013-1801-2. [DOI] [PubMed] [Google Scholar]
- 53.Outpatient craniotomy for brain tumor: a pilot feasibility study in 46 patients. Bernstein M. Can J Neurol Sci. 2001;28:120–124. doi: 10.1017/s0317167100052781. [DOI] [PubMed] [Google Scholar]
- 54.Propofol sedation during awake craniotomy for seizures: electrocorticographic and epileptogenic effects. Herrick IA, Craen RA, Gelb AW, et al. Anesth Analg. 1997;84:1280–1284. doi: 10.1097/00000539-199706000-00020. [DOI] [PubMed] [Google Scholar]
- 55.Multimodal protocol for awake craniotomy in language cortex tumour surgery. Picht T, Kombos T, Gramm HJ, Brock M, Suess O. Acta Neurochir (Wien) 2006;148:127–138. doi: 10.1007/s00701-005-0706-0. [DOI] [PubMed] [Google Scholar]
- 56.Anaesthesia for awake craniotomy: a modern approach. Costello TG, Cormack JR. J Clin Neurosci. 2004;11:16–19. doi: 10.1016/j.jocn.2003.09.003. [DOI] [PubMed] [Google Scholar]
- 57.Awake craniotomy and electrophysiological mapping for eloquent area tumours. Chacko AG, Thomas SG, Babu KS, et al. Clin Neurol Neurosurg. 2013;115:329–334. doi: 10.1016/j.clineuro.2012.10.022. [DOI] [PubMed] [Google Scholar]
- 58.Anesthesia for functional neurosurgery: the role of dexmedetomidine. Rozet I. Curr Opin Anaesthesiol. 2008;21:537–543. doi: 10.1097/ACO.0b013e32830edafd. [DOI] [PubMed] [Google Scholar]
- 59.Three-dimensional integration of brain anatomy and function to facilitate intraoperative navigation around the sensorimotor strip. Mäkelä JP, Kirveskari E, Seppä M, et al. Hum Brain Mapp. 2001;12:180–192. doi: 10.1002/1097-0193(200103)12:3<180::AID-HBM1014>3.0.CO;2-N. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Monitored anesthesia care using remifentanil and propofol for awake craniotomy. Berkenstadt H, Perel A, Hadani M, Unofrievich I, Ram Z. J Neurosurg Anesthesiol. 2001;13:246–249. doi: 10.1097/00008506-200107000-00013. [DOI] [PubMed] [Google Scholar]
- 61.Outcome of fully awake craniotomy for lesions near the eloquent cortex: analysis of a prospective surgical series of 79 supratentorial primary brain tumors with long follow-up. Pereira LC, Oliveira KM, L'Abbate GL, Sugai R, Ferreira JA, da Motta LA. Acta Neurochir (Wien) 2009;151:1215–1230. doi: 10.1007/s00701-009-0363-9. [DOI] [PubMed] [Google Scholar]
- 62.Stereotactic probability and variability of speech arrest and anomia sites during stimulation mapping of the language dominant hemisphere. Chang EF, Breshears JD, Raygor KP, Lau D, Molinaro AM, Berger MS. J Neurosurg. 2017;126:114–121. doi: 10.3171/2015.10.JNS151087. [DOI] [PubMed] [Google Scholar]
- 63.Dexmedetomidine in awake craniotomy: a technical note. Ard JL, Bekker AY, Doyle WK. Surg Neurol. 2005;63:114–116. doi: 10.1016/j.surneu.2004.02.029. [DOI] [PubMed] [Google Scholar]
- 64.Repeated mapping of cortical language sites by preoperative navigated transcranial magnetic stimulation compared to repeated intraoperative DCS mapping in awake craniotomy. Krieg SM, Sollmann N, Hauck T, Ille S, Meyer B, Ringel F. BMC Neurosci. 2014;15:20. doi: 10.1186/1471-2202-15-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Is non-awake surgery for supratentorial adult low-grade glioma treatment still feasible? Duffau H. Neurosurg Rev. 2018;41:133–139. doi: 10.1007/s10143-017-0918-9. [DOI] [PubMed] [Google Scholar]
- 66.Postoperative nausea and vomiting after craniotomy for tumor surgery: a comparison between awake craniotomy and general anesthesia. Manninen PH, Tan TK. J Clin Anesth. 2002;14:279–283. doi: 10.1016/s0952-8180(02)00354-9. [DOI] [PubMed] [Google Scholar]
- 67.Subcortical injury is an independent predictor of worsening neurological deficits following awake craniotomy procedures. Trinh VT, Fahim DK, Shah K, et al. Neurosurgery. 2013;72:160–169. doi: 10.1227/NEU.0b013e31827b9a11. [DOI] [PubMed] [Google Scholar]
- 68.What makes surgical tumor resection feasible in Broca’s area? Insights into intraoperative brain mapping. Lubrano V, Draper L, Roux F-E. Neurosurgery. 2010;66:868–875. doi: 10.1227/01.NEU.0000368442.92290.04. [DOI] [PubMed] [Google Scholar]
- 69.Neuroanesthesia practice during the COVID-19 pandemic: recommendations from Society for Neuroscience in Anesthesiology and Critical Care (SNACC) Flexman AM, Abcejo AS, Avitsian R, et al. J Neurosurg Anesthesiol. 2020;32:202–209. doi: 10.1097/ANA.0000000000000691. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Patient-controlled sedation using propofol during interventional neuroradiologic procedures. Herrick IA, Gelb AW, Tseng PS, Kirkby J. J Neurosurg Anesthesiol. 1997;9:237–241. doi: 10.1097/00008506-199707000-00007. [DOI] [PubMed] [Google Scholar]
- 71.Intraoperative cortico-cortical evoked potentials for the evaluation of language function during brain tumor resection: initial experience with 13 cases. Saito T, Tamura M, Muragaki Y, et al. J Neurosurg. 2014;121:827–838. doi: 10.3171/2014.4.JNS131195. [DOI] [PubMed] [Google Scholar]
- 72.Comparison of fentanyl, sufentanil and alfentanil during awake craniotomy for epilepsy. Gignac E, Manninen PH, Gelb AW. Can J Anaesth. 1993;40:421–424. doi: 10.1007/BF03009510. [DOI] [PubMed] [Google Scholar]
- 73.Anesthesia in the patient for awake craniotomy. Frost EA, Booij LH. Curr Opin Anaesthesiol. 2007;20:331–335. doi: 10.1097/ACO.0b013e328136c56f. [DOI] [PubMed] [Google Scholar]
- 74.Dural and pial pain-sensitive structures in humans: new inputs from awake craniotomies. Fontaine D, Almairac F, Santucci S, Fernandez C, Dallel R, Pallud J, Lanteri-Minet M. Brain. 2018;141:1040–1048. doi: 10.1093/brain/awy005. [DOI] [PubMed] [Google Scholar]
- 75.Is it time to replace the Wada test and put awake craniotomy to sleep? Papanicolaou AC, Rezaie R, Narayana S, et al. Epilepsia. 2014;55:629–632. doi: 10.1111/epi.12569. [DOI] [PubMed] [Google Scholar]
- 76.The experience of patients undergoing awake craniotomy: in the patients' own words. A qualitative study. Palese A, Skrap M, Fachin M, Visioli S, Zannini L. Cancer Nurs. 2008;31:166–172. doi: 10.1097/01.NCC.0000305699.97625.dc. [DOI] [PubMed] [Google Scholar]
- 77.Patient experience and satisfaction with awake craniotomy for brain tumours. Wahab SS, Grundy PL, Weidmann C. Br J Neurosurg. 2011;25:606–613. doi: 10.3109/02688697.2011.568642. [DOI] [PubMed] [Google Scholar]
- 78.Awake glioma surgery: technical evolution and nuances. Gogos AJ, Young JS, Morshed RA, Hervey-Jumper SL, Berger MS. J Neurooncol. 2020;147:515–524. doi: 10.1007/s11060-020-03482-z. [DOI] [PubMed] [Google Scholar]
- 79.Awake language mapping and 3-Tesla intraoperative MRI-guided volumetric resection for gliomas in language areas. Lu J, Wu J, Yao C, et al. J Clin Neurosci. 2013;20:1280–1287. doi: 10.1016/j.jocn.2012.10.042. [DOI] [PubMed] [Google Scholar]
- 80.Homotopic organization of essential language sites in right and bilateral cerebral hemispheric dominance. Chang EF, Wang DD, Perry DW, Barbaro NM, Berger MS. J Neurosurg. 2011;114:893–902. doi: 10.3171/2010.11.JNS10888. [DOI] [PubMed] [Google Scholar]
- 81.Integration of functional neuronavigation and intraoperative MRI in surgery for drug-resistant extratemporal epilepsy close to eloquent brain areas. Sommer B, Grummich P, Coras R, et al. Neurosurg Focus. 2013;34:0. doi: 10.3171/2013.2.FOCUS12397. [DOI] [PubMed] [Google Scholar]
- 82.Awake craniotomy for gliomas in a high-field intraoperative magnetic resonance imaging suite: analysis of 42 cases. Maldaun MV, Khawja SN, Levine NB, et al. J Neurosurg. 2014;121:810–817. doi: 10.3171/2014.6.JNS132285. [DOI] [PubMed] [Google Scholar]
- 83.'Anesthesia' for awake neurosurgery. Bilotta F, Rosa G. Curr Opin Anaesthesiol. 2009;22:560–565. doi: 10.1097/ACO.0b013e3283302339. [DOI] [PubMed] [Google Scholar]
- 84.Object naming is a more sensitive measure of speech localization than number counting: converging evidence from direct cortical stimulation and fMRI. Petrovich Brennan NM, Whalen S, de Morales Branco D, O'shea JP, Norton IH, Golby AJ. Neuroimage. 2007;37 Suppl 1:0–8. doi: 10.1016/j.neuroimage.2007.04.052. [DOI] [PubMed] [Google Scholar]
- 85.Passive real-time identification of speech and motor cortex during an awake craniotomy. Roland J, Brunner P, Johnston J, Schalk G, Leuthardt EC. Epilepsy Behav. 2010;18:123–128. doi: 10.1016/j.yebeh.2010.02.017. [DOI] [PubMed] [Google Scholar]
- 86.Intraoperative functional mapping and monitoring during glioma surgery. Saito T, Muragaki Y, Maruyama T, Tamura M, Nitta M, Okada Y. Neurol Med Chir (Tokyo) 2015;55:1–13. doi: 10.2176/nmc.ra.2014-0215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.The innervation of the cranial dura mater: neurosurgical case correlates and a review of the literature. Kemp WJ 3rd, Tubbs RS, Cohen-Gadol AA. World Neurosurg. 2012;78:505–510. doi: 10.1016/j.wneu.2011.10.045. [DOI] [PubMed] [Google Scholar]
- 88.Same-day discharge after craniotomy for supratentorial tumour surgery: a retrospective observational single-centre study. Venkatraghavan L, Bharadwaj S, Au K, Bernstein M, Manninen P. Can J Anaesth. 2016;63:1245–1257. doi: 10.1007/s12630-016-0717-8. [DOI] [PubMed] [Google Scholar]
- 89.Longitudinal change in outcome of frontal lobe epilepsy surgery. Kim CH, Chung CK, Lee SK. Neurosurgery. 2010;67:1222–1229. doi: 10.1227/NEU.0b013e3181f2380b. [DOI] [PubMed] [Google Scholar]
- 90.A probabilistic map of the human ventral sensorimotor cortex using electrical stimulation. Breshears JD, Molinaro AM, Chang EF. J Neurosurg. 2015;123:340–349. doi: 10.3171/2014.11.JNS14889. [DOI] [PubMed] [Google Scholar]
- 91.Outcome of elderly patients undergoing awake-craniotomy for tumor resection. Grossman R, Nossek E, Sitt R, et al. Ann Surg Oncol. 2013;20:1722–1728. doi: 10.1245/s10434-012-2748-x. [DOI] [PubMed] [Google Scholar]
- 92.Awake craniotomy for glioblastoma in a 9-year-old child. Klimek M, Verbrugge SJ, Roubos S, van der Most E, Vincent AJ, Klein J. Anaesthesia. 2004;59:607–609. doi: 10.1111/j.1365-2044.2004.03675.x. [DOI] [PubMed] [Google Scholar]
- 93.Neuronal activity in human lateral temporal cortex during serial retrieval from short-term memory. Haglund MM, Ojemann GA, Schwartz TW, Lettich E. J Neurosci. 1994;14:1507–1515. doi: 10.1523/JNEUROSCI.14-03-01507.1994. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Pediatric awake craniotomy and intra-operative stimulation mapping. Balogun JA, Khan OH, Taylor M, et al. J Clin Neurosci. 2014;21:1891–1894. doi: 10.1016/j.jocn.2014.07.013. [DOI] [PubMed] [Google Scholar]
- 95.Nonlesional central lobule seizures: use of awake cortical mapping and subdural grid monitoring for resection of seizure focus. Cohen-Gadol AA, Britton JW, Collignon FP, Bates LM, Cascino GD, Meyer FB. J Neurosurg. 2003;98:1255–1262. doi: 10.3171/jns.2003.98.6.1255. [DOI] [PubMed] [Google Scholar]
- 96.Tumor location and IDH1 mutation may predict intraoperative seizures during awake craniotomy. Gonen T, Grossman R, Sitt R, et al. J Neurosurg. 2014;121:1133–1138. doi: 10.3171/2014.7.JNS132657. [DOI] [PubMed] [Google Scholar]
- 97.Application of awake craniotomy and intraoperative brain mapping for surgical resection of insular gliomas of the dominant hemisphere. Alimohamadi M, Shirani M, Shariat Moharari R, et al. World Neurosurg. 2016;92:151–158. doi: 10.1016/j.wneu.2016.04.079. [DOI] [PubMed] [Google Scholar]
- 98.Patient perception of combined awake brain tumor surgery and intraoperative 1.5-T magnetic resonance imaging: the Kiel experience. Goebel S, Nabavi A, Schubert S, Mehdorn HM. Neurosurgery. 2010;67:594–600. doi: 10.1227/01.NEU.0000374870.46963.BB. [DOI] [PubMed] [Google Scholar]
- 99.Association of dorsal inferior frontooccipital fasciculus fibers in the deep parietal lobe with both reading and writing processes: a brain mapping study. Motomura K, Fujii M, Maesawa S, Kuramitsu S, Natsume A, Wakabayashi T. J Neurosurg. 2014;121:142–148. doi: 10.3171/2014.2.JNS131234. [DOI] [PubMed] [Google Scholar]
- 100.Patient response to awake craniotomy - a summary overview. Milian M, Tatagiba M, Feigl GC. Acta Neurochir (Wien) 2014;156:1063–1070. doi: 10.1007/s00701-014-2038-4. [DOI] [PubMed] [Google Scholar]
- 101.Plasma levobupivacaine concentrations following scalp block in patients undergoing awake craniotomy. Costello TG, Cormack JR, Mather LE, LaFerlita B, Murphy MA, Harris K. Br J Anaesth. 2005;94:848–851. doi: 10.1093/bja/aei135. [DOI] [PubMed] [Google Scholar]
- 102.Specificities of awake craniotomy and brain mapping in children for resection of supratentorial tumors in the language area. Delion M, Terminassian A, Lehousse T, et al. World Neurosurg. 2015;84:1645–1652. doi: 10.1016/j.wneu.2015.06.073. [DOI] [PubMed] [Google Scholar]
- 103.Day surgery awake craniotomy for removing brain tumours: technical note describing a simple protocol. Carrabba G, Venkatraghavan L, Bernstein M. Minim Invasive Neurosurg. 2008;51:208–210. doi: 10.1055/s-2008-1073132. [DOI] [PubMed] [Google Scholar]
- 104.Laser speckle imaging identification of increases in cortical microcirculatory blood flow induced by motor activity during awake craniotomy. Klijn E, Hulscher HC, Balvers RK, et al. J Neurosurg. 2013;118:280–286. doi: 10.3171/2012.10.JNS1219. [DOI] [PubMed] [Google Scholar]
- 105.The asleep-awake technique using propofol-remifentanil anaesthesia for awake craniotomy for cerebral tumours. Olsen KS. Eur J Anaesthesiol. 2008;25:662–669. doi: 10.1017/S0265021508003633. [DOI] [PubMed] [Google Scholar]
- 106.Use of movable high-field-strength intraoperative magnetic resonance imaging with awake craniotomies for resection of gliomas: preliminary experience. Leuthardt EC, Lim CC, Shah MN, et al. Neurosurgery. 2011;69:194–206. doi: 10.1227/NEU.0b013e31821d0e4c. [DOI] [PubMed] [Google Scholar]
- 107.Functional magnetic resonance imaging and optical imaging for dominant-hemisphere perisylvian arteriovenous malformations. Cannestra AF, Pouratian N, Forage J, Bookheimer SY, Martin NA, Toga AW. Neurosurgery. 2004;55:804–812. doi: 10.1227/01.neu.0000137654.27826.71. [DOI] [PubMed] [Google Scholar]
- 108.Plasma ropivacaine levels following scalp block for awake craniotomy. Costello TG, Cormack JR, Hoy C, Wyss A, Braniff V, Martin K, Murphy M. J Neurosurg Anesthesiol. 2004;16:147–150. doi: 10.1097/00008506-200404000-00007. [DOI] [PubMed] [Google Scholar]
- 109.Awake craniotomy for brain tumor: indications, technique and benefits. Dziedzic T, Bernstein M. Expert Rev Neurother. 2014;14:1405–1415. doi: 10.1586/14737175.2014.979793. [DOI] [PubMed] [Google Scholar]
- 110.Specificities of awake craniotomy and brain mapping in children for resection of supratentorial tumors in the language area. Meng L, Berger MS, Gelb AW. J Neurosurg Anesthesiol. 2015;27:310–317. doi: 10.1016/j.wneu.2015.06.073. [DOI] [PubMed] [Google Scholar]
- 111.Awake craniotomy anesthesia: a comparison of the monitored anesthesia care and asleep-awake-asleep techniques. Eseonu CI, ReFaey K, Garcia O, John A, Quiñones-Hinojosa A, Tripathi P. World Neurosurg. 2017;104:679–686. doi: 10.1016/j.wneu.2017.05.053. [DOI] [PubMed] [Google Scholar]
- 112.Conscious-sedation analgesia during craniotomy for intractable epilepsy: a review of 354 consecutive cases. Archer DP, McKenna JM, Morin L, Ravussin P. Can J Anaesth. 1988;35:338–344. doi: 10.1007/BF03010852. [DOI] [PubMed] [Google Scholar]
- 113.The history of awake craniotomy in hospital universiti sains malaysia. Wan Hassan WM. http://pubmed.ncbi.nlm.nih.gov/24643321/ Malays J Med Sci. 2013;20:67–69. [PMC free article] [PubMed] [Google Scholar]
- 114.The history of awake craniotomy for brain tumor and its spread into Asia. July J, Manninen P, Lai J, Yao B, M M. Surg Neurol. 2009;71:621–624. doi: 10.1016/j.surneu.2007.12.022. [DOI] [PubMed] [Google Scholar]
- 115.Awake craniotomy in epilepsy surgery includes previously inoperable patients with preserved efficiency and safety. Vigren P, Eriksson M, Gauffin H, Duffau H, Milos P, Eek T, Dizdar N. Int J Neurosci. 2024;134:1624–1629. doi: 10.1080/00207454.2023.2279498. [DOI] [PubMed] [Google Scholar]
- 116.Awake craniotomy induces fewer changes in the plasma amino acid profile than craniotomy under general anesthesia. Hol JW, Klimek M, Heide-Mulder M. J Neurosurg Anesthesiol. 2009;21:98–107. doi: 10.1097/ANA.0b013e318192d4aa. [DOI] [PubMed] [Google Scholar]
- 117.Comparison of motor outcome in patients undergoing awake vs general anesthesia surgery for brain tumors located within or adjacent to the motor pathways. Zelitzki R, Korn A, Arial E, Ben-Harosh C, Ram Z, Grossman R. Neurosurgery. 2019;85:0–6. doi: 10.1093/neuros/nyz007. [DOI] [PubMed] [Google Scholar]
- 118.Awake craniotomy versus craniotomy under general anesthesia for the surgical treatment of insular glioma: choices and outcomes. Gravesteijn BY, Keizer ME, Vincent AJ, Schouten JW, Stolker RJ, Klimek M. Neurol Res. 2018;40:87–96. doi: 10.1080/01616412.2017.1402147. [DOI] [PubMed] [Google Scholar]
- 119.Women in neurosurgery: historical path to self-segregation and proposal for an integrated future. Garozzo D, Rispoli R, Graziano F, et al. Front Surg. 2022;9:908540. doi: 10.3389/fsurg.2022.908540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Women neurosurgeons around the world: a systematic review. Lulla T, Behmer Hansen RT, Smith CA, Silva NA, Patel NV, Nanda A. Neurosurg Focus. 2021;50:0. doi: 10.3171/2020.12.FOCUS20902. [DOI] [PubMed] [Google Scholar]
- 121.Women in neurosurgery: gender differences in authorship in high-impact neurosurgery journals through the last two decades. Aslan A, Kuzucu P, Karaaslan B, Börcek AÖ. World Neurosurg. 2020;138:374–380. doi: 10.1016/j.wneu.2020.03.017. [DOI] [PubMed] [Google Scholar]
- 122.Gender disparity in academic neurosurgery. Odell T, Toor H, Takayanagi A, et al. Cureus. 2019;11:0. doi: 10.7759/cureus.4628. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Women in neurosurgery - the road less traveled. Shah A. Neurol India. 2022;70:1340–1343. doi: 10.4103/0028-3886.355170. [DOI] [PubMed] [Google Scholar]
- 124.Gender disparity in neurosurgery: a multinational survey on gender-related career satisfaction. Zeitlberger AM, Baticam NS, Sprenger L, Tizi K, Schaller K, Stienen MN. Brain Spine. 2022;2:100890. doi: 10.1016/j.bas.2022.100890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Gender differences between male and female neurosurgeons: is there equality for all? Gadjradj PS, Matawlie RH, Voigt I, Harhangi BS, Vleggeert-Lankamp CL. World Neurosurg. 2020;136:348–356. doi: 10.1016/j.wneu.2019.11.178. [DOI] [PubMed] [Google Scholar]
- 126.Theory and evidence-base for a digital platform for the delivery of language tests during awake craniotomy and collaborative brain mapping. Veljanoski D, Ng XY, Hill CS, Jamjoom AA. BMJ Surg Interv Health Technol. 2024;6:0. doi: 10.1136/bmjsit-2023-000234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Localization patterns of speech and language errors during awake brain surgery: a systematic review. Collée E, Vincent A, Visch-Brink E, De Witte E, Dirven C, Satoer D. Neurosurg Rev. 2023;46:38. doi: 10.1007/s10143-022-01943-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Augmented and virtual reality usage in awake craniotomy: a systematic review. Mofatteh M, Mashayekhi MS, Arfaie S, et al. Neurosurg Rev. 2022;46:19. doi: 10.1007/s10143-022-01929-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Surgical benefits of combined awake craniotomy and intraoperative magnetic resonance imaging for gliomas associated with eloquent areas. Motomura K, Natsume A, Iijima K, et al. J Neurosurg. 2017;127:790–797. doi: 10.3171/2016.9.JNS16152. [DOI] [PubMed] [Google Scholar]
- 130.Awake craniotomy in arteriovenous malformation surgery: the usefulness of cortical and subcortical mapping of language function in selected patients. Gamble AJ, Schaffer SG, Nardi DJ, Chalif DJ, Katz J, Dehdashti AR. World Neurosurg. 2015;84:1394–1401. doi: 10.1016/j.wneu.2015.06.059. [DOI] [PubMed] [Google Scholar]
- 131.Anaesthetic considerations and challenges during awake craniotomy. Tang L, Tan TK. Singapore Med J. 2024;4103:2022–2053. doi: 10.4103/singaporemedj.SMJ-2022-053. [DOI] [PubMed] [Google Scholar]
- 132.Subjective experience, cognitive functioning and trauma level of patients undergoing awake craniotomy due to brain tumor - preliminary study. Starowicz-Filip A, Prochwicz K, Myszka A, et al. Appl Neuropsychol Adult. 2022;29:983–992. doi: 10.1080/23279095.2020.1831500. [DOI] [PubMed] [Google Scholar]
- 133.Intraoperative monitoring technician: a new member of the surgical team. Brown MS, Brown DS. AORN J. 2011;93:242–248. doi: 10.1016/j.aorn.2010.08.023. [DOI] [PubMed] [Google Scholar]
- 134.Teaching and sustainably implementing awake craniotomy in resource-poor settings. Howe KL, Zhou G, July J, et al. World Neurosurg. 2013;80:0–4. doi: 10.1016/j.wneu.2013.07.003. [DOI] [PubMed] [Google Scholar]
- 135.Technical aspects of awake craniotomy with mapping for brain tumors in a limited resource setting. Leal RT, Barcellos BM, Landeiro JA. World Neurosurg. 2018;113:67–72. doi: 10.1016/j.wneu.2018.02.013. [DOI] [PubMed] [Google Scholar]
- 136.Awake craniotomy with functional mapping for glioma resection in a limited-resource-setting: preliminary experience from a lower-middle income country. Benyaich Z, Hajhouji F, Laghmari M, Ghannane H, Aniba K, Lmejjati M, Ait Benali S. World Neurosurg. 2020;139:200–207. doi: 10.1016/j.wneu.2020.04.039. [DOI] [PubMed] [Google Scholar]
- 137.Awake craniotomy with functional mapping for glioma resection in a limited-resource-setting: preliminary experience from a lower-middle income country. Bakhshi SK, Ather M, Tariq Q, Anis SB, Enam SA. Cureus. 2021;13:0. [Google Scholar]
- 138.Awake craniotomies in South America: advancements, challenges, and future prospects. Bharadwaj HR, Awuah WA, Adebusoye FT, Tan JK, Ali SH, Pacheco-Barrios N, Papadakis M. J Cent Nerv Syst Dis. 2024;16:11795735241238681. doi: 10.1177/11795735241238681. [DOI] [PMC free article] [PubMed] [Google Scholar]