Effective Connectivity and Brain Modeling by fMRI
نویسنده
چکیده
The concept of effective connectivity permits to study specific circuits in networks which define in a more realistic way the dynamics of the central nervous system, which underlie various cerebral functions. Assessment of effective connectivity measures provides the unique opportunity to determine the functional influences among anatomical brain regions. Connectivity between brain regions is estimated using models based on anatomically motivated assumptions. Structural equation modeling (SEM) is a statistical method proposed to analyze effective connectivity in fMRI.
منابع مشابه
Identification of mild cognitive impairment disease using brain functional connectivity and graph analysis in fMRI data
Background: Early diagnosis of patients in the early stages of Alzheimer's, known as mild cognitive impairment, is of great importance in the treatment of this disease. If a patient can be diagnosed at this stage, it is possible to treat or delay Alzheimer's disease. Resting-state functional magnetic resonance imaging (fMRI) is very common in the process of diagnosing Alzheimer's disease. In th...
متن کاملFeature Selection Based on Genetic Algorithm in the Diagnosis of Autism Disorder by fMRI
Background: Autism Spectrum Disorder (ASD) occurs based on the continuous deficit in a person’s verbal skills, visual, auditory, touch, and social behavior. Over the last two decades, one of the most important approaches in studying brain functions in autistic persons is using functional Magnetic Resonance Imaging (fMRI). Objectives: It is common to use all brain regions in functional extracti...
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 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 کاملInterpreting the effects of altered brain anatomical connectivity on fMRI functional connectivity: a role for computational neural modeling
Recently, there have been a large number of studies using resting state fMRI to characterize abnormal brain connectivity in patients with a variety of neurological, psychiatric, and developmental disorders. However, interpreting what the differences in resting state fMRI functional connectivity (rsfMRI-FC) actually reflect in terms of the underlying neural pathology has proved to be elusive bec...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009