Functional Collectivity of Complex Brain Networks
نویسندگان
چکیده
Contents 1. Introduction. The brain is a network. 2. Extracting brain functional networks from the data 3. Brain correlation networks are scale free. 4. The origin of the brain networks scale-free property.
منابع مشابه
Selective deficits in human audition: evidence from lesion studies
The human auditory cortex is the gateway to the most powerful and complex communication systems and yet relatively little is known about its functional organization as compared to the visual system. Several lines of evidence, predominantly from recent studies, indicate that sound recognition and sound localization are processed in two at least partially independent networks. Evidence from human...
متن کاملSelective deficits in human audition: evidence from lesion studies
The human auditory cortex is the gateway to the most powerful and complex communication systems and yet relatively little is known about its functional organization as compared to the visual system. Several lines of evidence, predominantly from recent studies, indicate that sound recognition and sound localization are processed in two at least partially independent networks. Evidence from human...
متن کاملAnalysis of Resting-State fMRI Topological Graph Theory Properties in Methamphetamine Drug Users Applying Box-Counting Fractal Dimension
Introduction: Graph theoretical analysis of functional Magnetic Resonance Imaging (fMRI) data has provided new measures of mapping human brain in vivo. Of all methods to measure the functional connectivity between regions, Linear Correlation (LC) calculation of activity time series of the brain regions as a linear measure is considered the most ubiquitous one. The strength of the dependence obl...
متن کاملSynchronization for Complex Dynamic Networks with State and Coupling Time-Delays
This paper is concerned with the problem of synchronization for complex dynamic networks with state and coupling time-delays. Therefore, larger class and more complicated complex dynamic networks can be considered for the synchronization problem. Based on the Lyapunov-Krasovskii functional, a delay-independent criterion is obtained and formulated in the form of linear matrix inequalities (LMIs)...
متن کاملChanges in Effective Connectivity Network Patterns in Drug Abusers, Treated With Different Methods
Introduction: Various treatment methods for drug abusers will result in different success rates. This is partly due to different neural assumptions and partly due to various rate of relapse in abusers because of different circumstances. Investigating the brain activation networks of treated subjects can reveal the hidden mechanisms of the therapeutic methods. Methods: We studied three groups o...
متن کامل