{"title":"预测神经胶质瘤患者认知和生存结果的图网络分析。","authors":"Rabeet Tariq, Muhammad Shahzad Shamim","doi":"10.47391/JPMA.25-31","DOIUrl":null,"url":null,"abstract":"<p><p>Graph theory provides a framework for analyzing brain networks. This review explores the role of graph network analysis in predicting cognitive function and overall survival (OS) in glioma patients, focussing on studies that applied graph theory metrics to evaluate cognitive and survival outcomes in glioma patients. Various studies showed that graph network alterations in glioma patients were associated with cognitive decline and worse OS. Small-world network properties were disrupted, with reductions in global efficiency and clustering coefficients correlating with neurocognitive deficits. Network hubs, which are critical for brain integration, were significantly affected, further contributing to functional impairments. These findings have implications for personalized neurosurgical planning and patient prognosis.</p>","PeriodicalId":54369,"journal":{"name":"Journal of the Pakistan Medical Association","volume":"75 4","pages":"667-668"},"PeriodicalIF":0.8000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Graph Network Analysis for Predicting Cognitive and Survival Outcomes in Glioma Patients.\",\"authors\":\"Rabeet Tariq, Muhammad Shahzad Shamim\",\"doi\":\"10.47391/JPMA.25-31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Graph theory provides a framework for analyzing brain networks. This review explores the role of graph network analysis in predicting cognitive function and overall survival (OS) in glioma patients, focussing on studies that applied graph theory metrics to evaluate cognitive and survival outcomes in glioma patients. Various studies showed that graph network alterations in glioma patients were associated with cognitive decline and worse OS. Small-world network properties were disrupted, with reductions in global efficiency and clustering coefficients correlating with neurocognitive deficits. Network hubs, which are critical for brain integration, were significantly affected, further contributing to functional impairments. These findings have implications for personalized neurosurgical planning and patient prognosis.</p>\",\"PeriodicalId\":54369,\"journal\":{\"name\":\"Journal of the Pakistan Medical Association\",\"volume\":\"75 4\",\"pages\":\"667-668\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Pakistan Medical Association\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.47391/JPMA.25-31\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Pakistan Medical Association","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.47391/JPMA.25-31","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Graph Network Analysis for Predicting Cognitive and Survival Outcomes in Glioma Patients.
Graph theory provides a framework for analyzing brain networks. This review explores the role of graph network analysis in predicting cognitive function and overall survival (OS) in glioma patients, focussing on studies that applied graph theory metrics to evaluate cognitive and survival outcomes in glioma patients. Various studies showed that graph network alterations in glioma patients were associated with cognitive decline and worse OS. Small-world network properties were disrupted, with reductions in global efficiency and clustering coefficients correlating with neurocognitive deficits. Network hubs, which are critical for brain integration, were significantly affected, further contributing to functional impairments. These findings have implications for personalized neurosurgical planning and patient prognosis.
期刊介绍：
Primarily being a medical journal, JPMA publishes scholarly research focusing on the various fields in the areas of health and medical education. It publishes original research describing recent advances in health particularly clinical studies, clinical trials, assessments of pathogens of diagnostic importance, medical genetics and epidemiological studies. Review articles highlighting importance of various issues in the domain of public health, drug research and medical education are also accepted. As a leading journal of South Asia, JPMA remains cognizant of the recent advances in the rapidly growing fields of biomedical sciences, it invites and encourages scholars to write short reviews and invited editorials on the emerging issues. We particularly aim to promote health standards of developing countries by encouraging manuscript submissions on issues affecting the public health and health delivery services.
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