Novel Method to Identify the Precentral Gyrus and Its Detailed Functional Distribution in Real Brain Surfaces Using Reconstructed 3D Brain Surface Imaging
2015 (English)In: JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, ISSN 2156-7018, Vol. 5, no 2, 216-222 p.Article in journal (Refereed) Published
Objective: To study the use of reconstructed 3D brain surface imaging (RBSI) to identify the precentral gyrus and its detailed functional distribution in epileptic patients. Method: A total of 12 refractory epilepsy cases that need intracranial electrode implantation were studied. In these patients, pre-operative magnetic resonance imaging (MRI) and functional MRI (fMRI) were conducted, and a cranial computed tomography (CT) scan was performed after electrode implantation. The RBSI was accomplished using Brain Voyager software based on MRI data, and then the 3D brain surface was integrated with the subdural electrode CT scan. The precentral gyrus was found in the reconstructed brain surface imaging according to their anatomical shape, and then were identified in the surgical field by comparing the exposed gyrus in the RBSI with the help of intraoperative photographs. Results: Total 12 cases of precentral gyrus was found and marked in the RBSI. There were 101 electrodes covering the precentral gyrus and 73 (72%) of them had motor response to electrical stimulation. In the contrast, (the area which is 1 cm ahead of the precentral gyrus), the motor response rate was 13% (17/130) (p < 0.05). During fMRI, 100% of the precentral gyrus and 58% (7/12) of post central gyrus was activated during hand movement. Whereas, no activation of the areas ahead of precentral gyrus was seen showing a significant difference between precentral gyrus and gyrus ahead. Conclusion: Our results demonstrated that using RBSI technique, it is possible to identify the precentral gyrus with precision.
Place, publisher, year, edition, pages
2015. Vol. 5, no 2, 216-222 p.
Precentral Gyrus, Brain Surface Imaging, Epilepsy, Reconstructed 3D Brain Surface Imaging (RBSI), fMRI
Radiology, Nuclear Medicine and Medical Imaging Bioinformatics (Computational Biology)
IdentifiersURN: urn:nbn:se:uu:diva-252191DOI: 10.1166/jmihi.2015.1385ISI: 000352531300006OAI: oai:DiVA.org:uu-252191DiVA: diva2:810102