Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using Quicktome
Abstract Background Patients with insulo-Sylvian gliomas continue to present with severe morbidity in cognitive functions primarily due to neurosurgeons’ lack of familiarity with non-traditional brain networks. We sought to identify the frequency of invasion and proximity of gliomas to portions of t...
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| Format: | Article |
| Language: | English |
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BMC
2023-05-01
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| Series: | Chinese Neurosurgical Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41016-023-00325-4 |
| _version_ | 1827940023965581312 |
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| author | Zhiqiang Wu Guanjie Hu Bowen Cao Xingdong Liu Zifeng Zhang Nicholas B. Dadario Qinyu Shi Xiao Fan Yao Tang Zhangchun Cheng Xiefeng Wang Xia Zhang Xiaorong Hu Junxia Zhang Yongping You |
| author_facet | Zhiqiang Wu Guanjie Hu Bowen Cao Xingdong Liu Zifeng Zhang Nicholas B. Dadario Qinyu Shi Xiao Fan Yao Tang Zhangchun Cheng Xiefeng Wang Xia Zhang Xiaorong Hu Junxia Zhang Yongping You |
| author_sort | Zhiqiang Wu |
| collection | DOAJ |
| description | Abstract Background Patients with insulo-Sylvian gliomas continue to present with severe morbidity in cognitive functions primarily due to neurosurgeons’ lack of familiarity with non-traditional brain networks. We sought to identify the frequency of invasion and proximity of gliomas to portions of these networks. Methods We retrospectively analyzed data from 45 patients undergoing glioma surgery centered in the insular lobe. Tumors were categorized based on their proximity and invasiveness of non-traditional cognitive networks and traditionally eloquent structures. Diffusion tensor imaging tractography was completed by creating a personalized brain atlas using Quicktome to determine eloquent and non-eloquent networks in each patient. Additionally, we prospectively collected neuropsychological data on 7 patients to compare tumor-network involvement with change in cognition. Lastly, 2 prospective patients had their surgical plan influenced by network mapping determined by Quicktome. Results Forty-four of 45 patients demonstrated tumor involvement (< 1 cm proximity or invasion) with components of non-traditional brain networks involved in cognition such as the salience network (SN, 60%) and the central executive network (CEN, 56%). Of the seven prospective patients, all had tumors involved with the SN, CEN (5/7, 71%), and language network (5/7, 71%). The mean scores of MMSE and MOCA before surgery were 18.71 ± 6.94 and 17.29 ± 6.26, respectively. The two cases who received preoperative planning with Quicktome had a postoperative performance that was anticipated. Conclusions Non-traditional brain networks involved in cognition are encountered during surgical resection of insulo-Sylvian gliomas. Quicktome can improve the understanding of the presence of these networks and allow for more informed surgical decisions based on patient functional goals. |
| first_indexed | 2024-03-13T09:04:28Z |
| format | Article |
| id | doaj.art-205a8db5386143019a19c41381466ac7 |
| institution | Directory Open Access Journal |
| issn | 2057-4967 |
| language | English |
| last_indexed | 2024-03-13T09:04:28Z |
| publishDate | 2023-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Chinese Neurosurgical Journal |
| spelling | doaj.art-205a8db5386143019a19c41381466ac72023-05-28T11:08:46ZengBMCChinese Neurosurgical Journal2057-49672023-05-019111110.1186/s41016-023-00325-4Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using QuicktomeZhiqiang Wu0Guanjie Hu1Bowen Cao2Xingdong Liu3Zifeng Zhang4Nicholas B. Dadario5Qinyu Shi6Xiao Fan7Yao Tang8Zhangchun Cheng9Xiefeng Wang10Xia Zhang11Xiaorong Hu12Junxia Zhang13Yongping You14Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityRobert Wood Johnson Medical School, Rutgers UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityInternational Joint Research Center On Precision Brain Medicine, XD Group Hospital, Shaanxi ProvinceInternational Joint Research Center On Precision Brain Medicine, XD Group Hospital, Shaanxi ProvinceDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Neurosurgery, The First Affiliated Hospital of Nanjing Medical UniversityAbstract Background Patients with insulo-Sylvian gliomas continue to present with severe morbidity in cognitive functions primarily due to neurosurgeons’ lack of familiarity with non-traditional brain networks. We sought to identify the frequency of invasion and proximity of gliomas to portions of these networks. Methods We retrospectively analyzed data from 45 patients undergoing glioma surgery centered in the insular lobe. Tumors were categorized based on their proximity and invasiveness of non-traditional cognitive networks and traditionally eloquent structures. Diffusion tensor imaging tractography was completed by creating a personalized brain atlas using Quicktome to determine eloquent and non-eloquent networks in each patient. Additionally, we prospectively collected neuropsychological data on 7 patients to compare tumor-network involvement with change in cognition. Lastly, 2 prospective patients had their surgical plan influenced by network mapping determined by Quicktome. Results Forty-four of 45 patients demonstrated tumor involvement (< 1 cm proximity or invasion) with components of non-traditional brain networks involved in cognition such as the salience network (SN, 60%) and the central executive network (CEN, 56%). Of the seven prospective patients, all had tumors involved with the SN, CEN (5/7, 71%), and language network (5/7, 71%). The mean scores of MMSE and MOCA before surgery were 18.71 ± 6.94 and 17.29 ± 6.26, respectively. The two cases who received preoperative planning with Quicktome had a postoperative performance that was anticipated. Conclusions Non-traditional brain networks involved in cognition are encountered during surgical resection of insulo-Sylvian gliomas. Quicktome can improve the understanding of the presence of these networks and allow for more informed surgical decisions based on patient functional goals.https://doi.org/10.1186/s41016-023-00325-4ConnectomeBrain networkMachine learningInsulo-Sylvian gliomasCognitive function |
| spellingShingle | Zhiqiang Wu Guanjie Hu Bowen Cao Xingdong Liu Zifeng Zhang Nicholas B. Dadario Qinyu Shi Xiao Fan Yao Tang Zhangchun Cheng Xiefeng Wang Xia Zhang Xiaorong Hu Junxia Zhang Yongping You Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using Quicktome Chinese Neurosurgical Journal Connectome Brain network Machine learning Insulo-Sylvian gliomas Cognitive function |
| title | Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using Quicktome |
| title_full | Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using Quicktome |
| title_fullStr | Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using Quicktome |
| title_full_unstemmed | Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using Quicktome |
| title_short | Non-traditional cognitive brain network involvement in insulo-Sylvian gliomas: a case series study and clinical experience using Quicktome |
| title_sort | non traditional cognitive brain network involvement in insulo sylvian gliomas a case series study and clinical experience using quicktome |
| topic | Connectome Brain network Machine learning Insulo-Sylvian gliomas Cognitive function |
| url | https://doi.org/10.1186/s41016-023-00325-4 |
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