Related Experiment Video
Updated: Aug 16, 2026
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
Published on: May 10, 2012
On the characteristics of functional magnetic resonance imaging of the brain
1Bell Laboratories, Lucent Technologies, Murray Hill, New Jersey 07974, USA. so@physics.bell-labs.com
Abstract:
In this review we discuss various recent topics that characterize functional magnetic resonance imaging (fMRI). These topics include a brief description of MRI image acquisition, how to cope with noise or signal fluctuation, the basis of fMRI signal changes, and the relation of MRI signal to neuronal events. Several observations of fMRI that show good correlation to the neurofunction are referred to. Temporal characteristics of fMRI signals and examples of how the feature of real time measurement is utilized are then described. The question of spatial resolution of fMRI, which must be dictated by the vascular structure serving the functional system, is discussed based on various fMRI observations. Finally, the advantage of fMRI mapping is shown in a few examples. Reviewing the vast number of recent fMRI application that have now been reported is beyond the scope of this article.
Insights
This review covers functional magnetic resonance imaging (fMRI), detailing image acquisition, noise reduction, signal changes, and the link between MRI signals and neuronal events for neuroimaging applications.
Area of Science:
- Neuroimaging
- Biomedical Engineering
- Cognitive Neuroscience
Background:
- Functional magnetic resonance imaging (fMRI) is a key neuroimaging technique.
- Understanding fMRI principles is crucial for interpreting brain activity.
- Advances in fMRI enable detailed study of brain function.
Purpose of the Study:
- To review recent advancements and core concepts in functional magnetic resonance imaging (fMRI).
- To elucidate the relationship between MRI signals and neuronal events.
- To discuss the practical aspects and applications of fMRI in neuroscience research.
Main Methods:
- Discussion of Magnetic Resonance Imaging (MRI) image acquisition protocols.
- Analysis of methods for managing noise and signal fluctuations in fMRI data.
- Exploration of the physiological basis of fMRI signal changes related to neural activity.
Main Results:
- fMRI signals show strong correlations with neurofunction.
- Temporal characteristics of fMRI signals are described, highlighting real-time measurement capabilities.
- Spatial resolution in fMRI is influenced by vascular structures, with examples provided.
Conclusions:
- fMRI is a valuable tool for mapping brain function.
- The review highlights the utility of fMRI in understanding the brain.
- Further exploration of fMRI applications continues to expand its impact in neuroscience.
Related Concept Videos
01:24Magnetic Resonance Imaging
01:14Brain Imaging
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).