Layer-specific BOLD activation in awake monkey V1 revealed by ultra-high spatial resolution functional magnetic resonance imaging.

Chen G, Wang F, Gore JC, Roe AW
Neuroimage. 2013 64: 147-55

PMID: 22960152 · PMCID: PMC3508288 · DOI:10.1016/j.neuroimage.2012.08.060

The laminar structure of the cortex has previously been explored both in non-human primates and human subjects using high-resolution functional magnetic resonance imaging (fMRI). However, whether the spatial specificity of the blood-oxygenation-level-dependent (BOLD) fMRI is sufficiently high to reveal lamina specific organization in the cortex reliably is still unclear. In this study we demonstrate for the first time the detection of such layer-specific activation in awake monkeys at the spatial resolution of 200 × 200 × 1000 μm(3) in a vertical 4.7 T scanner. Results collected in trained monkeys are high in contrast-to-noise ratio and low in motion artifacts. Isolation of laminar activation was aided by choosing the optimal slice orientation and thickness using a novel pial vein pattern analysis derived from optical imaging. We found that the percent change of GE-BOLD signal is the highest at a depth corresponding to layer IV. Changes in the middle layers (layer IV) were 30% greater than changes in the top layers (layers I-III), and 32% greater than the bottom layers (layers V/VI). The laminar distribution of BOLD signal correlates well with neural activity reported in the literature. Our results suggest that the high intrinsic spatial resolution of GE-BOLD signal is sufficient for mapping sub-millimeter functional structures in awake monkeys. This degree of spatial specificity will be useful for mapping both laminar activations and columnar structures in the cerebral cortex.

Copyright © 2012 Elsevier Inc. All rights reserved.

MeSH Terms (12)

Animals Brain Mapping Image Enhancement Macaca mulatta Magnetic Resonance Imaging Nerve Net Oxygen Consumption Photic Stimulation Reproducibility of Results Sensitivity and Specificity Visual Cortex Wakefulness

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