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Lamina-dependent calibrated BOLD response in human primary motor cortex.
Maria Guidi1, Laurentius Huber1, Leonie Lampe1
1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Neuroimage
|July 2, 2016
Summary
This study uses the Davis model to measure brain metabolism across cortical layers during finger tapping. It reveals metabolic changes without large vein contamination, improving laminar fMRI accuracy.
Area of Science:
- Neuroimaging
- Systems Neuroscience
- Human Physiology
Background:
- Layer-dependent fMRI is crucial for separating feedforward and feedback neural activity.
- Gradient-recalled echo (GRE) BOLD signal is biased by large draining veins, limiting laminar resolution.
- Accurate laminar fMRI requires methods insensitive to large vascular effects.
Purpose of the Study:
- To evaluate the Davis model for quantitative, lamina-dependent fMRI of evoked oxidative metabolism.
- To assess the applicability, advantages, and limitations of the Davis model in laminar fMRI.
- To obtain metabolic brain activity in the primary motor cortex on a laminar scale without vascular contamination.
Main Methods:
- Functional magnetic resonance imaging (fMRI) during a unilateral finger-tapping task.
- Application of the Davis model to quantify evoked oxidative metabolism (CMRO2).
- Analysis of calibration parameter (M) and CMRO2 changes across cortical depth.
Main Results:
- Average M was (11±2)% and average CMRO2 change was (30±7)% during finger tapping.
- Distinct variation patterns of M and CMRO2 were observed across cortical depths.
- An uncoupling between BOLD signal and metabolic changes was found across cortical depth.
- Tight coupling between CMRO2 and cerebral blood volume (CBV) was conserved across cortical layers.
Conclusions:
- The Davis model provides lamina-dependent metabolic estimates free from large draining vein contamination.
- This method offers high consistency and reproducibility for laminar fMRI studies.
- The Davis model advances the accurate investigation of cortical layer-specific neural activity.

