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Non-traditional cognitive brain network involvement in insulo-sylvian gliomas:a case series study and clinical experience using Quicktome

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Chinese Neurosurgical Journal 2023年第3期9卷 166-176页

作者： 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 Department of Neurosurgery The First Affiliated Hospital of Nanjing Medical UniversityNanjing 210029China Robert Wood Johnson Medical School Rutgers UniversityNewarkNJ 08901USA International Joint Research Center On Precision Brain Medicine XD Group HospitalShaanxi ProvinceXi’an 710077China Institute for Brain Tumors Jiangsu Collaborative Innovation Center for Cancer Personalized MedicineNanjing Medical UniversityNanjing 211166China

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 *** sought to identify the frequency of invasion and proximity of gliomas to portions of these *** We retrospectively analyzed data from 45 patients undergoing glioma surgery centered in the insular *** were categorized based on their proximity and invasiveness of non-traditional cognitive networks and traditionally eloquent *** tensor imaging tractography was completed by creating a personalized brain atlas using Quicktome to determine eloquent and non-eloquent networks in each ***,we prospectively collected neuropsychological data on 7 patients to compare tumor-network involvement with change in ***,2 prospective patients had their surgical plan influenced by network mapping determined by *** Forty-four of 45 patients demonstrated tumor involvement(insulo-sylvian *** can improve the understanding of the presence of these networks and allow for more informed surgical decisions based on patient functional goals.

关键词： Connectome Brain network Machine learning insulo-sylvian gliomas Cognitive function

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