Title
Identification of cortical lamination in awake monkeys by high resolution magnetic resonance imaging.
Abstract
Brodmann divided the neocortex into 47 different cortical areas based on histological differences in laminar myeloarchitectonic and cytoarchitectonic defined structure. The ability to do so in vivo with anatomical magnetic resonance (MR) methods in awake subjects would be extremely advantageous for many functional studies. However, due to the limitations of spatial resolution and contrast, this has been difficult to achieve in awake subjects. Here, we report that by using a combination of MR microscopy and novel contrast effects, cortical layers can be delineated in the visual cortex of awake subjects (nonhuman primates) at 4.7T. We obtained data from 30-min acquisitions at voxel size of 62.5×62.5×1000μm3 (4nl). Both the phase and magnitude components of the T2*-weighted image were used to generate laminar profiles which are believed to reflect variations in myelin and local cell density content across cortical depth. Based on this, we were able to identify six layers characteristic of the striate cortex (V1). These were the stripe of Kaes-Bechterew (in layer II/III), the stripe of Gennari (in layer IV), the inner band of Baillarger (in layer V), as well as three sub-layers within layer IV (IVa, IVb, and IVc). Furthermore, we found that the laminar structure of two extrastriate visual cortex (V2, V4) can also be detected. Following the tradition of Brodmann, this significant improvement in cortical laminar visualization should make it possible to discriminate cortical regions in awake subjects corresponding to differences in myeloarchitecture and cytoarchitecture.
Year
DOI
Venue
2012
10.1016/j.neuroimage.2011.10.079
NeuroImage
Keywords
Field
DocType
High resolution MRI,MR microscopy,Non-human primate,Awake,Visual cortex,V1,Extrastriate cortex
Cortex (botany),Voxel,Neocortex,Developmental psychology,Anatomy,Visual cortex,Extrastriate cortex,Psychology,Cytoarchitecture,Cerebral cortex,Magnetic resonance imaging
Journal
Volume
Issue
ISSN
59
4
1053-8119
Citations 
PageRank 
References 
8
0.91
5
Authors
4
Name
Order
Citations
PageRank
Gang Chen1121.82
Feng Wang2387.16
John C Gore361641.36
Anna W. Roe4264.88