{"title":"评估皮质折叠的角功率谱","authors":"C. Madan","doi":"10.32470/ccn.2019.1177-0","DOIUrl":null,"url":null,"abstract":"The most defining feature of the cortex is its folding structure. While these peaks and valleys can be coarsely characterised using measures of cortical structure such as gyrification and fractal dimensionality, these are not directly sensitive to the different scales of folding that comprise the brain’s cortical structure. Here we developed an approach for characterising the angular power spectrum of cortical folding using spherical harmonics and informed by prior research investigating the cosmic microwave background. In this work, we ultimately yielded a single summary measure that is sensitive to minor folds along the cortical gyri and sulci and is sensitive to agerelated differences in cortical structure.","PeriodicalId":281121,"journal":{"name":"2019 Conference on Cognitive Computational Neuroscience","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Evaluating the angular power spectrum of cortical folding\",\"authors\":\"C. Madan\",\"doi\":\"10.32470/ccn.2019.1177-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The most defining feature of the cortex is its folding structure. While these peaks and valleys can be coarsely characterised using measures of cortical structure such as gyrification and fractal dimensionality, these are not directly sensitive to the different scales of folding that comprise the brain’s cortical structure. Here we developed an approach for characterising the angular power spectrum of cortical folding using spherical harmonics and informed by prior research investigating the cosmic microwave background. In this work, we ultimately yielded a single summary measure that is sensitive to minor folds along the cortical gyri and sulci and is sensitive to agerelated differences in cortical structure.\",\"PeriodicalId\":281121,\"journal\":{\"name\":\"2019 Conference on Cognitive Computational Neuroscience\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Conference on Cognitive Computational Neuroscience\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32470/ccn.2019.1177-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Conference on Cognitive Computational Neuroscience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32470/ccn.2019.1177-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluating the angular power spectrum of cortical folding
The most defining feature of the cortex is its folding structure. While these peaks and valleys can be coarsely characterised using measures of cortical structure such as gyrification and fractal dimensionality, these are not directly sensitive to the different scales of folding that comprise the brain’s cortical structure. Here we developed an approach for characterising the angular power spectrum of cortical folding using spherical harmonics and informed by prior research investigating the cosmic microwave background. In this work, we ultimately yielded a single summary measure that is sensitive to minor folds along the cortical gyri and sulci and is sensitive to agerelated differences in cortical structure.