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Basic Principles of Functional MRI

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Blood oxygen level dependent (BOLD) MRI, also called functional MRI (fMRI), is one of the most widely used modalities for studying brain function. The underlying source of the fMRI signal is blood flow and the oxygenation state of hemoglobin. fMRI is mostly used to map out the location and intensity of brain activity that correlate with mental activities. In recent years, a new approach to fMRI has been developed that is called resting-state fMRI. The fMRI signal from this method does not require the brain to perform a goal-directed task; it is acquired with the subject at rest. It was discovered that there are low-frequency fluctuations in the fMRI signal in the brain at rest. These signals come from spatially distinct brain regions but exhibit coherent, time-synchronous fluctuations. Several of the networks have been identified and are called resting-state networks. The networks represent the strength of the functional connectivity between distinct brain regions and have been used as imaging biomarkers for various neurological and psychiatric diseases. Resting-state fMRI is also ideally suited for functional brain imaging in disorders of consciousness and in subjects under anesthesia. In this chapter, we provide an introductory review of the basic principles of fMRI: signal sources, acquisition methods, and data analysis.
Oxford University Press
Title: Basic Principles of Functional MRI
Description:
Blood oxygen level dependent (BOLD) MRI, also called functional MRI (fMRI), is one of the most widely used modalities for studying brain function.
The underlying source of the fMRI signal is blood flow and the oxygenation state of hemoglobin.
fMRI is mostly used to map out the location and intensity of brain activity that correlate with mental activities.
In recent years, a new approach to fMRI has been developed that is called resting-state fMRI.
The fMRI signal from this method does not require the brain to perform a goal-directed task; it is acquired with the subject at rest.
It was discovered that there are low-frequency fluctuations in the fMRI signal in the brain at rest.
These signals come from spatially distinct brain regions but exhibit coherent, time-synchronous fluctuations.
Several of the networks have been identified and are called resting-state networks.
The networks represent the strength of the functional connectivity between distinct brain regions and have been used as imaging biomarkers for various neurological and psychiatric diseases.
Resting-state fMRI is also ideally suited for functional brain imaging in disorders of consciousness and in subjects under anesthesia.
In this chapter, we provide an introductory review of the basic principles of fMRI: signal sources, acquisition methods, and data analysis.

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