{"title":"个性化动态和静态z分数的原理和统计","authors":"T. Collura, J. Tarrant","doi":"10.15540/nr.7.1.45","DOIUrl":null,"url":null,"abstract":"This report describes and briefly characterizes a method for computing quantitative EEG (qEEG) z-scores based on a modification of the typical methods used for qEEG reporting. In particular, it describes using a sample of EEG from a single individual, and creating a reference database from the individual sample, in contrast to using a population of individuals as the source data. The goal of this method is to quantify and localize within-subject changes that may arise due to time or various factors. We refer to this approach as “z-builder,” because the z-score reference is constructed or “built” on a per-subject basis in the office or laboratory and is not derived from a reference obtained from an outside source. It is confirmed that z-scores for EEG acquired during a test period can be calculated based on a single previously recorded reference sample from an individual, and that the resulting z-scores obey the expected statistical distribution. Reference data can be calculated using samples in the 1to 5-minute range, and subsequent static or dynamic z-scores for a test sample can then be computed using this reference data in lieu of a population database. It is confirmed that, in the absence of systematic change in the EEG, z-scores generally fall well within the range of 1.0, providing a sensitive indicator when changes do occur. It is shown that this method has value in assessing individual stability of EEG parameters and for quantifying changes that may occur due to time effects, aging, disorders, medications, or interventions.","PeriodicalId":37439,"journal":{"name":"NeuroRegulation","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Principles and Statistics of Individualized Live and Static Z-Scores\",\"authors\":\"T. Collura, J. Tarrant\",\"doi\":\"10.15540/nr.7.1.45\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This report describes and briefly characterizes a method for computing quantitative EEG (qEEG) z-scores based on a modification of the typical methods used for qEEG reporting. In particular, it describes using a sample of EEG from a single individual, and creating a reference database from the individual sample, in contrast to using a population of individuals as the source data. The goal of this method is to quantify and localize within-subject changes that may arise due to time or various factors. We refer to this approach as “z-builder,” because the z-score reference is constructed or “built” on a per-subject basis in the office or laboratory and is not derived from a reference obtained from an outside source. It is confirmed that z-scores for EEG acquired during a test period can be calculated based on a single previously recorded reference sample from an individual, and that the resulting z-scores obey the expected statistical distribution. Reference data can be calculated using samples in the 1to 5-minute range, and subsequent static or dynamic z-scores for a test sample can then be computed using this reference data in lieu of a population database. It is confirmed that, in the absence of systematic change in the EEG, z-scores generally fall well within the range of 1.0, providing a sensitive indicator when changes do occur. It is shown that this method has value in assessing individual stability of EEG parameters and for quantifying changes that may occur due to time effects, aging, disorders, medications, or interventions.\",\"PeriodicalId\":37439,\"journal\":{\"name\":\"NeuroRegulation\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NeuroRegulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.15540/nr.7.1.45\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NeuroRegulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15540/nr.7.1.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Principles and Statistics of Individualized Live and Static Z-Scores
This report describes and briefly characterizes a method for computing quantitative EEG (qEEG) z-scores based on a modification of the typical methods used for qEEG reporting. In particular, it describes using a sample of EEG from a single individual, and creating a reference database from the individual sample, in contrast to using a population of individuals as the source data. The goal of this method is to quantify and localize within-subject changes that may arise due to time or various factors. We refer to this approach as “z-builder,” because the z-score reference is constructed or “built” on a per-subject basis in the office or laboratory and is not derived from a reference obtained from an outside source. It is confirmed that z-scores for EEG acquired during a test period can be calculated based on a single previously recorded reference sample from an individual, and that the resulting z-scores obey the expected statistical distribution. Reference data can be calculated using samples in the 1to 5-minute range, and subsequent static or dynamic z-scores for a test sample can then be computed using this reference data in lieu of a population database. It is confirmed that, in the absence of systematic change in the EEG, z-scores generally fall well within the range of 1.0, providing a sensitive indicator when changes do occur. It is shown that this method has value in assessing individual stability of EEG parameters and for quantifying changes that may occur due to time effects, aging, disorders, medications, or interventions.
期刊介绍:
NeuroRegulation is a peer-reviewed journal providing an integrated, multidisciplinary perspective on clinically relevant research, treatment, reviews, and public policy for neuroregulation and neurotherapy. NeuroRegulation publishes important findings in these fields with a focus on electroencephalography (EEG), neurofeedback (EEG biofeedback), quantitative electroencephalography (qEEG), psychophysiology, biofeedback, heart rate variability, photobiomodulation, repetitive Transcranial Magnetic Simulation (rTMS) and transcranial Direct Current Stimulation (tDCS); with a focus on treatment of psychiatric, mind-body, and neurological disorders. In addition to research findings and reviews, it is important to stress that publication of case reports is always useful in furthering the advancement of an intervention for both clinical and normative functioning. We strive for high quality and interesting empirical topics presented in a rigorous and scholarly manner. The journal draws from expertise inside and outside of the International Society for Neurofeedback & Research (ISNR) to deliver material which integrates the diverse aspects of the field, to include: *basic science *clinical aspects *treatment evaluation *philosophy *training and certification issues *technology and equipment