منابع مشابه
Brain Imaging Analysis.
The increasing availability of brain imaging technologies has led to intense neuroscientific inquiry into the human brain. Studies often investigate brain function related to emotion, cognition, language, memory, and numerous other externally induced stimuli as well as resting-state brain function. Studies also use brain imaging in an attempt to determine the functional or structural basis for ...
متن کاملIranian Brain Imaging Database: A Neuropsychiatric Database of Healthy Brain
Introduction: The Iranian Brain Imaging Database (IBID) was initiated in 2017, with 5 major goals: provide researchers easy access to a neuroimaging database, provide normative quantitative measures of the brain for clinical research purposes, study the aging profile of the brain, examine the association of brain structure and function, and join the ENIGMA consortium. Many prestigious databases...
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The Intraoperative MRI is of great importance in the surgical removal of gliomas or cranial base tumors. However, the sole use of a intraoperative MRI is problematic, so that a dual system has been developed to optimize the utilization of the equipment, which can be used both for neurosurgical patients and for outpatient or stationary Patients. Within the framework of the new head Center at the...
متن کاملAnalysis of Memory-Related Brain Activation Maps in Sleep-Depriveation using Functional Magnetic Resonance Imaging
Background and purpose: Insomnia is a common sleep disorder with negative consequences such as decreased quality of life. In this study, the effect of sleep deprivation on memory in both young and older adults was investigated using functional magnetic resonance imaging (fMRI). Materials and methods: In this retrospective study, fMRI data of 40 healthy subjects (17 young and 23 older people) w...
متن کاملCrossvalidation in Brain Imaging Analysis
Crossvalidation is a method for estimating predictive performance and adjudicating between multiple models. On each of k folds of the process, k-1 of k independent subsets of the data (training set) are used to fit the parameters of each model and the left-out subset (test set) is used to estimate predictive performance. The method is statistically efficient, because training data are reused fo...
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ژورنال
عنوان ژورنال: Annual Review of Statistics and Its Application
سال: 2014
ISSN: 2326-8298,2326-831X
DOI: 10.1146/annurev-statistics-022513-115611