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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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Multi-echo acquisition and thermal denoising advances precision functional imaging.

Julia Moser1, Steven M Nelson1,2, Sanju Koirala1,3

  • 1Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN, United States.

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Summary
This summary is machine-generated.

New methods for precision functional magnetic resonance imaging (fMRI) improve data quality in adults and children. Multi-echo acquisitions show promise for developmental fMRI, though infant applications require further research.

Keywords:
brain developmentdevelopmental neuroimagingmethodological advancementsmulti-echoneonatesprecision functional mapping

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Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Neuroimaging

Background:

  • Precision Functional Mapping (PFM) offers insights into adult brain organization.
  • Understanding developmental changes in brain functional organization is crucial for lifelong health.
  • Acquiring high-quality precision fMRI data in developing populations presents unique challenges.

Purpose of the Study:

  • To investigate methods for improving precision fMRI data acquisition and analysis in developmental populations.
  • To evaluate the efficacy of multi-echo (ME) data acquisition and Noise Reduction with Distribution Corrected (NORDIC) denoising.
  • To assess the impact of these methods on temporal signal to noise ratio (tSNR) and functional connectivity reliability.

Main Methods:

  • Applied ME data acquisition and NORDIC denoising to precision fMRI data from adults, children, and newborn infants.
  • Assessed improvements in tSNR and split-half reliability of functional connectivity matrices.
  • Analyzed T2* relaxation times to understand echo weighting optimization for ME data.

Main Results:

  • Both ME acquisitions and NORDIC increased tSNR and functional connectivity reliability in adults.
  • NORDIC denoising benefits were replicated in pediatric and infant samples.
  • ME acquisitions revealed developmental differences in T2* relaxation times, impacting optimal echo weighting for infants.

Conclusions:

  • Methodological advances enhance Precision Functional Mapping in adults and developmental populations.
  • ME acquisitions show potential for optimizing developmental fMRI, particularly in infants, but require further investigation.
  • Further improvements are needed for infant-specific fMRI acquisition and analysis.