ArticleNeuroImage. Clinical2012
"Awake" intraoperative functional MRI (ai-fMRI) for mapping the eloquent cortex: Is it possible in awake craniotomy?
Article in NeuroImage. Clinical, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of combined use of intraoperative MRI and awake microsurgical resection on patients with gliomas: a systematic review and meta-analysis.Neurosurgical review · 2021Pooled it
- Experiences in Awake Craniotomy from Borneo: A Case Series from Sarawak General Hospital.The Malaysian journal of medical sciences : MJMS · 2024Article
- Preoperative mapping techniques for brain tumor surgery: a systematic review.Frontiers in oncology · 2024Review
- Functional imaging of the exposed brain.Frontiers in neuroscience · 2023Review
- Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.IEEE transactions on medical imaging · 2020Article
- Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection.International journal of computer assisted radiology and surgery · 2018Article
- IClinfMRI Software for Integrating Functional MRI Techniques in Presurgical Mapping and Clinical Studies.Frontiers in neuroinformatics · 2018Article
- Real-Time Motor Cortex Mapping for the Safe Resection of Glioma: An Intraoperative Resting-State fMRI Study.AJNR. American journal of neuroradiology · 2017Article
- An automated method for identifying an independent component analysis-based language-related resting-state network in brain tumor subjects for surgical planning.Scientific reports · 2017Article
- Direct evidence from intraoperative electrocortical stimulation indicates shared and distinct speech production center between Chinese and English languages.Human brain mapping · 2015Article
- The Ethical Dilemma in the Surgical Management of Low Grade Gliomas According to the Variable Availability of Resources and Surgeon Experience.Asian journal of neurosurgeryReview
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As a promising noninvasive imaging technique, functional MRI (fMRI) has been extensively adopted as a functional localization procedure for surgical planning. However, the information provided by preoperative fMRI (pre-fMRI) is hampered by the brain deformation that is secondary to surgical procedures. Therefore, intraoperative fMRI (i-fMRI) becomes a potential alternative that can compensate for brain shifts by updating the functional localization information during craniotomy. However, previous i-fMRI studies required that patients be under general anesthesia, preventing the wider application of such a technique as the patients cannot perform tasks unless they are awake. In this study, we propose a new technique that combines awake surgery and i-fMRI, named "awake" i-fMRI (ai-fMRI). We introduced ai-fMRI to the real-time localization of sensorimotor areas during awake craniotomy in seven patients. The results showed that ai-fMRI could successfully detect activations in the bilateral primary sensorimotor areas and supplementary motor areas for all patients, indicating the feasibility of this technique in eloquent area localization. The reliability of ai-fMRI was further validated using intraoperative stimulation mapping (ISM) in two of the seven patients. Comparisons between the pre-fMRI-derived localization result and the ai-fMRI derived result showed that the former was subject to a heavy brain shift and led to incorrect localization, while the latter solved that problem. Additionally, the approaches for the acquisition and processing of the ai-fMRI data were fully illustrated and described. Some practical issues on employing ai-fMRI in awake craniotomy were systemically discussed, and guidelines were provided.
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