SynthesisNeurosurgical review2022
Neuromonitoring of the language pathways using cortico-cortical evoked potentials: a systematic review and meta-analysis.
Synthesis in Neurosurgical review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07789938 (Intraoperative Monitoring of Motor, Visual and Cortico-cortical Evoked Potentials in Brain Tumor Surgery Under General Anesthesia), which is not on this map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Intraoperative Monitoring of Motor, Visual and Cortico-cortical Evoked Potentials in Brain Tumor Surgery Under General Anesthesia: Prospective Cohort Studies
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Intraoperative neurophysiological monitoring for motor function preservation during AVMs resection: Indication or redundancy? Beyond the doctrine of "all-or-nothing".Neurosurgical review · 2026Article
- Intraoperative Techniques for Language Mapping in Brain Surgery: A Comparison Between Direct Electrical Stimulation (DES) and Electrocorticography (ECoG).Brain and behavior · 2025Review
- Corpus callosotomy for intractable epilepsy in the pediatric population: value of intraoperative neurophysiological monitoring.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025Review
- Intraoperative neurophysiology in pediatric neurosurgery: a historical perspective.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cortico-cortical evoked potentials (CCEPs) are a surge in activity of one cortical zone caused by stimulation of another cortical zone. Recording of CCEP may be a useful method of intraoperative monitoring of the brain pathways, particularly of the language-related tracts. We aimed to conduct a systematic review and meta-analysis, dedicated to the clinical question: Does the CCEP recording effectively predict the postoperative speech deficits in neurosurgical patients? We conducted language-restricted PubMed, Google Scholar, Scopus, and Cochrane database search for eligible studies of CCEP published until March 2021. There were 4 articles (3 case series and 1 case report), which met our inclusion/exclusion criteria. A total of 32 patients (30 cases of tumors and 2 cavernomas) included in the analysis were divided into two cohorts - quantitative and qualitative, in accordance with the method of evaluating changes in the amplitude of CCEP after the lesion resection and postoperative alterations in speech function. Quantitative variables were studied using the Spearman rank correlation coefficient. Categorical variables were compared in groups by Fisher's exact test. We found a strong positive correlation between the decrease in the N1 wave amplitude and the severity of postoperative speech deficits (quantitative cohort: r = 0.57, p = 0.01; qualitative cohort: p = 0.02). Thus, the CCEP method using the N1 wave amplitude as a marker enables to effectively predict postoperative speech outcomes. Nevertheless, the low level of evidence for the included works indicated the necessity for additional research on this issue.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.