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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Resting state brain function analysis using concurrent BOLD in ASL perfusion fMRI.

Senhua Zhu1, Zhuo Fang, Siyuan Hu

  • 1Department of psychology, Sun Yat-Sen University, Guangzhou, Guangdong, China.

Plos One
|June 11, 2013
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Arterial spin labeling (ASL) perfusion MRI can simultaneously capture concurrent BOLD (ccBOLD) and cerebral blood flow (CBF) signals. This study validates ccBOLD for resting-state analysis, showing its feasibility for assessing brain functions and networks.

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Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)
  • Brain Network Analysis

Background:

  • Resting-state brain activity patterns are crucial for understanding normal brain function and disease alterations.
  • Blood-oxygen-level-dependent (BOLD) fMRI is the standard for resting-state studies.
  • Arterial spin labeling (ASL) perfusion fMRI offers simultaneous BOLD and cerebral blood flow (CBF) measurements.

Purpose of the Study:

  • To validate the utility of concurrent BOLD (ccBOLD) signal from ASL perfusion MRI for resting-state analysis.
  • To compare ccBOLD resting-state analysis with conventional BOLD (cvBOLD) acquired without ASL.
  • To assess the feasibility of using ASL for comprehensive resting brain function assessment.

Main Methods:

  • Resting-state cvBOLD and ASL perfusion MRI were acquired from 89 healthy subjects.
  • Four standard resting-state analyses were performed: PCC seed-based FC, ICA, ALFF, and ReHo.
  • Analyses were compared between cvBOLD and ccBOLD signals.

Main Results:

  • Consistent default mode network (DMN) and other resting-state networks (RSNs) were observed using both cvBOLD and ccBOLD via PCC-FC and ICA.
  • Amplitude of low-frequency fluctuation (ALFF) showed agreement in most regions, with differences in peripheral areas due to susceptibility gradients.
  • Regional homogeneity (ReHo) differed across regions, likely due to signal-to-noise ratio (SNR) and resolution variations between modalities. DMN and auditory networks exhibited the highest CBF.

Conclusions:

  • ASL perfusion MRI is feasible for resting-state brain function assessment using its concurrent BOLD signal.
  • ccBOLD provides a viable alternative for analyzing resting-state networks, comparable to cvBOLD for core network identification.
  • Integrating ccBOLD with CBF measurements maximizes the utility of ASL for comprehensive brain function evaluation.