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Updated: Jun 1, 2025

Retinal Vascular Reactivity as Assessed by Optical Coherence Tomography Angiography
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NORDIC denoising on VASO data.

Lasse Knudsen1,2, Luca Vizioli3, Federico De Martino4

  • 1Center of Functionally Integrative Neuroscience (CFIN), Aarhus University, Aarhus, Denmark.

Frontiers in Neuroscience
|January 21, 2025
PubMed
Summary
This summary is machine-generated.

NOise Reduction with DIstribution Corrected (NORDIC) PCA effectively reduces thermal noise in laminar functional MRI (fMRI) using vascular space occupancy (VASO) sequences. This technique preserves signal integrity and spatial resolution, enhancing sensitivity for brain layer studies.

Keywords:
NORDICVASOdenoisinglaminar fMRIsubmillimeter resolution

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Area of Science:

  • Neuroimaging
  • Functional Magnetic Resonance Imaging (fMRI)
  • High-resolution brain imaging

Background:

  • Submillimeter resolution fMRI, or laminar fMRI, aims to study human brain activation at the scale of cortical layers and columns non-invasively.
  • Laminar fMRI is limited by signal-to-noise ratio (SNR), primarily due to thermal noise and signal displacements from draining veins in conventional BOLD contrasts.
  • Cerebral blood volume (CBV)-sensitive vascular space occupancy (VASO) sequences mitigate draining vein effects but suffer from reduced detection sensitivity.

Purpose of the Study:

  • To evaluate the efficacy of NOise Reduction with DIstribution Corrected (NORDIC) principal component analysis (PCA) in denoising laminar fMRI data acquired with VASO sequences at 3 Tesla.
  • To assess NORDIC's ability to suppress thermal noise while preserving the VASO signal and spatial resolution.
  • To provide recommendations for optimal NORDIC implementation for laminar VASO fMRI.

Main Methods:

  • Preliminary analysis of 3T fMRI data using VASO sequences.
  • Application and evaluation of the NORDIC PCA denoising technique.
  • Systematic assessment of NORDIC's performance across a range of parameters and implementation strategies.

Main Results:

  • NORDIC PCA effectively reduced thermal noise in laminar VASO fMRI data.
  • The technique preserved the underlying VASO signal and spatial resolution with minimal bias when properly parameterized.
  • Denoising performance varied based on implementation strategies and parameter choices, necessitating careful selection.

Conclusions:

  • NORDIC PCA, when appropriately applied, can overcome the sensitivity limitations of laminar-specific VASO fMRI.
  • The findings suggest NORDIC has the potential to significantly improve the utility of laminar fMRI, particularly at lower field strengths.
  • Sharing analysis and code is encouraged to foster a communal effort in developing robust recommendations for NORDIC application in laminar fMRI.