H.A. Drury and D.C. Van Essen
Washington University Medical School, St.
Louis, MO USA
The cerebral cortex is a thin sheet of neural tissue that is extensively folded in order to fit within the cranium. Studies of cortical organization can be greatly facilitated by explicit surface reconstructions that preserve topological relationships within the surface. Accordingly, we have generated computerized surface reconstructions for both cerebral hemispheres of the Visible Man. Two-dimensional cortical maps were generated using our two-stage, multi-resolution flattening procedure [1]. The volume and 3-D surface reconstructions were then transformed to correspond to the Talairach coordinate space that is widely used in functional brain imaging studies. In parallel, a surface-based coordinate system was established on the 2-D maps. A one-to-one mapping exists between our surface-based coordinate system and the Talairach coordinate space.
Figure 1: Surface reconstructions of the left and right hemispheres of the Visible Man. Arrows indicate positions of artificial cuts.
We obtained high-resolution
cryosectioned data for the head
of the Visible Male from the
Visible Human Project [2].
Contours were manually traced
through the estimated path of
cortical layer 4, and surface
reconstructions were generated
for the left hemisphere (total
surface area 757 cm2) and right
hemisphere (total surface area
795 cm2), as shown in Figure 1.
For orientation, the central
sulcus (CeS) and sylvian
fissure (SF) are labeled.
The sulcal and gyral
convolutions of the human
cortex (reflected in the
shading shown in Figure 1) pose
a major impediment to the
investigation of many aspects
of cortical structure and
function. For many types of
analyses it is desirable to
remove these convolutions and
represent the cortex as a
minimally distorted flat
surface.
We applied our automated
flattening procedure to the 3-D cortical surface
reconstructions of the Visible
Man to produce 2-D maps for
both the left and right
hemispheres. Appropriate cuts
were made to the 3-D surface
reconstructions (shown with
arrows in Figure 1) prior to
flattening in order to reduce
distortion in surface area
introduced by flattening the
surface.
Comparisons between the flat maps of the two hemispheres show striking similarities in their overall size and shape and unambiguous correspondence between most major sulci (represented as mean curvature as computed in the original 3-D representation). However, closer inspection of the cortical geography reveals conspicuous differences in the pattern of the many minor sulci. Although the flat maps of the human cortex are clearly more complex than those previously made of the macaque, the overall configurations of the maps share important similarities. Shape-based deformation algorithms have successfully been applied to 2-D cortical maps of the macaque in order to compensate for individual variability [3]. These same methods can be applied to make quantitative assessments of hemispheric differences as well as to make cross-species comparisons between the macaque and the human.
The development of coordinate
systems for the cortex (as well
as methods for transforming
between these coordinate
systems) is critical in order
to allow investigators to
analyze and compare
experimental results. Standard
3-D stereotaxic coordinates
(Talairach [4]) are good in
some respects but lacking in
others. Points that lie close
to one another in stereotaxic
coordinates may be far apart in
terms of the minimum intra-cortical distance that
separates them (i.e., points on
opposite banks of a sulcus).
The presence of relatively
undistorted flat maps of the
human cortex provides a natural
substrate for surface-based
coordinate systems. These were
generated separately for each
hemisphere by establishing a
square grid that overlays the
flat cortical map.
In order to link our surface-based coordinate system to the
widely used stereotaxic
coordinate system, we
transformed the original
Visible Man volume data and
associated surface
reconstructions to the
Talairach coordinate space
using a nine-parameter affine
transformation [5]. Each point
on the Visible Man flat map can
now be assigned unique 2-D
surface-based coordinates and
corresponding unique 3-D
Talairach coordinates.
Conversely, any point (or focus
location) in the 3-D Talairach
space can be projected to the
nearest point on the surface
and then assigned 2-D surface-based coordinates.
Representation of foci by an
appropriate localized volume
distribution allows
visualization of which gyri and
sulci of the Visible Man are
within a specified distance of
any given Talairach coordinate.
To illustrate this concept, we
took several activity foci
identified in published
studies and examined their
locations using their reported
Talairach coordinates and after
transformation to the 2-D
cortical flat maps. In this
manner, the numerous activity
foci reported using modalities
such as PET and fMRI can be
mapped to flat maps. This will
aid in the generation and
progressive refinement of areal
partitioning schemes, such as
those developed for the macaque
[6].
We have produced relatively
undistorted 2-D maps for both
hemispheres of the Visible Man
and have defined surface-based
coordinate systems on these
maps that are directly linked
to the Talairach coordinate
space. Flat maps provide a
convenient framework for
visualizing and comparing
activity foci reported from
both PET and fMRI studies. A
surface-based coordinate system
linked to the Talairach atlas
will be a valuable tool for
providing an objective
framework to incorporate data
from the many approaches
available for studying cerebral
organization and function.
Supported by the Human Brain
Project MH52158 and NIH
EY02091.
1. Drury HA, Van Essen DC, Anderson CH, Lee CW, Coogan TA, Lewis JW. J. Cogn. Neurosci., 1996, 8:1-28.
2. Spitzer V, Ackerman MJ, Scherzinger AL, Whitlock DJ. Am. Med. Informatics Assoc., 1996, 3.
3. Drury HA, Van Essen DC, Joshi S, Miller MI, Anderson CH, Coogan T. Soc. Neurosci. Abstr., 1995, 371.9.
4. Talairach P, Tournoux J. A stereotactic coplanar atlas of the human brain. Thieme Verlag, 1988.
5. Lancaster JL, Glass TG, Lankipalli BR, Downs H, Mayberg H, Fox PT. Human Brain Mapping, 1995, 3:209-223.
6. Felleman DJ, Van Essen DC. Cerebral Cortex, 1991, 1:1-47.