Resting State Fmri
Resting State Fmri - Related Videos
09:15
fMRI: Functional Magnetic Resonance Imaging
0 Views •
2023
Functional magnetic resonance imaging (fMRI) is a non-invasive neuroimaging technique used to investigate human brain function and cognition in both healthy individuals and populations with abnormal brain states. Functional MRI utilizes a magnetic resonance signal to detect changes in blood flow that are coupled to neuronal activation when a specific task is performed. This is possible because hemoglobin within the blood has different magnetic properties depending on whether or not it is bound...
09:55
Monitoring Acupuncture Effects on Human Brain by fMRI
0 Views •
Cited by 82 •
2010
FMRI and physiological monitoring is used to study the effects of Acupuncture on the central and peripheral nervous systems. Acupuncture mobilizes a limbic-paralimbic-neocortical network, with great overlap with the default mode network, to modulate neurological activity, possibly related to its autonomic effect in the peripheral nervous system.
08:16
Adaptation of a Haptic Robot in a 3T fMRI
0 Views •
Cited by 2 •
2011
The adaptation and use of a haptic robot in a 3T fMRI is described.
08:22
Simultaneous fMRI and Electrophysiology in the Rodent Brain
0 Views •
Cited by 45 •
2010
We have developed a method for simultaneous functional magnetic resonance imaging and electrophysiological recording in the rodent brain, providing a platform for the investigation of the relationship between neural activity and the blood oxygenation level dependent (BOLD) MRI signal.
01:21
The Resting Membrane Potential
0 Views •
2019
Overview The relative difference in electrical charge, or voltage, between the inside and the outside of a cell membrane, is called the membrane potential. It is generated by differences in permeability of the membrane to various ions and the concentrations of these ions across the membrane. The Inside of a Neuron Is More Negative The membrane potential of a cell can be measured by inserting a microelectrode into a cell and comparing the charge to a reference electrode in the extracellular...
FAQs
Changes in blood oxygenation generate the BOLD signal measured by magnetic resonance imaging. During analysis, researchers examine whether low-frequency fluctuations in this signal occur in a synchronized manner across different brain regions. Stronger synchronization is interpreted as evidence of functional connectivity, allowing investigators to characterize coordinated activity without requiring participants to perform a task.
Low-frequency fluctuations provide the signal pattern used to identify coordinated activity during rest. By comparing these slow changes across brain regions, researchers can estimate how strongly areas function together as part of an intrinsic network. This approach reveals organization that may not be apparent from examining activity in isolated regions or from a single measurement alone.
Resting-state fMRI does not require participants to respond to instructions or perform a specific cognitive or sensory task. Instead, it examines intrinsic patterns of synchronized activity while the person remains quiet. This distinction makes the method useful for studying brain organization when task performance is difficult, impractical, or likely to influence the measurement.
A participant lies quietly in an MRI scanner without completing a specified task while the system records magnetic resonance signals associated with blood oxygenation changes. The resulting data are then examined for synchronized low-frequency fluctuations between brain regions. These relationships provide estimates of functional connectivity and support mapping of intrinsic brain networks.
Researchers may choose this approach when a participant cannot easily follow task instructions, when task performance would be impractical, or when they want to study intrinsic organization rather than responses to a particular stimulus. Because the measurement does not depend on a prescribed activity, it can support comparisons of network function across individuals and conditions.
Analyses can identify intrinsic networks associated with attention, memory, and sensory processing, then examine how their organization or function varies. Researchers apply these measurements to investigate brain development, neurological and psychiatric disorders, and differences between individuals. The method therefore provides network-level information about brain organization beyond observations tied to one experimentally assigned task.