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Point-spread function of the BOLD response across columns and cortical depth in human extra-striate cortex
Alessio Fracasso1, Serge O Dumoulin2, Natalia Petridou3
1University of Glasgow, Institute of Neuroscience and Psychology, Glasgow, Scotland, United Kingdom.
Progress in Neurobiology
|November 19, 2021
Summary
High-resolution functional MRI can now visualize brain layers. This study measured the blood oxygen level dependent (BOLD) point-spread function across cortical depth in human V2, revealing depth-dependent signal spread.
Area of Science:
- Neuroimaging
- Human Brain Anatomy
- Functional Magnetic Resonance Imaging (fMRI)
Background:
- Brain organization relies on fundamental units like columns and layers.
- Conventional neuroimaging lacks the resolution to study these structures.
- Ultra-high field (UHF) MRI offers unprecedented in-vivo spatial resolution for human brain studies.
Purpose of the Study:
- To estimate the point-spread function (PSF) of the blood oxygen level dependent (BOLD) response across cortical depth.
- To assess the feasibility of high-resolution fMRI for resolving brain columns and layers.
- To investigate the spatial spread of the BOLD signal in relation to neuronal activity in human V2.
Main Methods:
- Utilized sub-millimeter anatomical and gradient-echo BOLD (GE BOLD) acquisitions at 7 Tesla.
- Leveraged the stripe-based organization of visual area V2 for PSF estimation.
- Acquired in-vivo, non-invasive fMRI data from human participants.
Main Results:
- The BOLD PSF was found to be maximal in the superficial cortical layers (1.78 mm).
- The BOLD PSF decreased with increasing cortical depth, reaching 0.83 mm near the white matter.
- Demonstrated depth-dependent spatial spread of the BOLD signal in human V2.
Conclusions:
- High-resolution 7T GE BOLD fMRI can resolve cortical layers and columns.
- Understanding the depth-dependent BOLD PSF is crucial for interpreting high-resolution fMRI data.
- This technique advances non-invasive in-vivo investigation of human brain functional and structural organization.

