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The Journal of Neuroscience, 2000, 20:RC117:1-5
RAPID COMMUNICATION
Pyramidal Cells, Patches, and Cortical Columns: a Comparative
Study of Infragranular Neurons in TEO, TE, and the Superior
Temporal Polysensory Area of the Macaque Monkey
Guy N.
Elston and
Marcello G. P.
Rosa
Vision, Touch, and Hearing Research Centre, Department of
Physiology and Pharmacology, The University of Queensland, Queensland,
4072 Australia
 |
ABSTRACT |
The basal dendritic arbors of layer III pyramidal neurons are known
to vary systematically among primate visual areas. Generally, those in
areas associated with "higher" level cortical processing have
larger and more spinous dendritic arbors, which may be an important
factor for determining function within these areas. Moreover, the
tangential area of their arbors are proportional to those of the
periodic supragranular patches of intrinsic connections in many
different areas. The morphological parameters of both dendritic and
axon arbors may be important for the sampling strategies of cells in
different cortical areas. However, in visual cortex, intrinsic patches
are a feature of supragranular cortex, and are weaker or nonexistent in
infragranular cortex. Thus, the systematic variation in the dendritic
arbors of pyramidal cells in supragranular cortex may reflect intrinsic
axon projections, rather than differences in columnar organization. The
present study was aimed at establishing whether cells in the
infragranular layers also vary in terms of dendritic morphology among
different cortical areas, and whether these variations mirror the ones
demonstrated in supragranular cortex. Layer V pyramidal neurons were
injected with Lucifer yellow in flat-mounted cortical slices taken from
cytoarchitectonic areas TEO and TE and the superior polysensory
area (STP) of the macaque monkey. The results demonstrate that cells in
STP were larger, had more bifurcations, and were more spinous than
those in TE, which in turn were larger, had more bifurcations and were
more spinous than those in TEO. These results parallel morphological variation seen in layer III pyramidal neurons, suggesting that increasing complexity of basal dendritic arbors of cells, with progression through higher areas of the temporal lobe, is a general organizational principle. It is proposed that the differences in
microcircuitry may contribute to the determination of the functional signatures of neurons in different cortical areas. Furthermore, these
results provide evidence that intrinsic circuitry differs across
cortical areas, which may be important for theories of columnar processing.
Key words:
intracellular injection; Lucifer yellow; extrastriate; visual; cortex; dendrite; spine
 |
INTRODUCTION |
As
a result of the pioneering anatomical studies of Lorente de Nó
(1938) and the functional studies of Mountcastle and Powell (1959) and
Hubel and Wiesel (1977) , the idea of columnar organization has become a
central tenet to the understanding of cortical function (for review,
see Mountcastle, 1998 . One of the primary determinants of the cortical
column is the size of the dendritic arbors of its neurons
(Szentágothai, 1983 ). Recently, several independent studies have
shown that the dendritic arbors of supragranular pyramidal neurons vary
between cortical areas. The basal dendritic arbors of pyramidal cells
in the temporal and parietal lobes are generally larger, have more
bifurcations, and have greater spine density, than those in the
occipital lobe (Lund et al., 1993 ; Elston and Rosa, 1997 , 1998a ,b ;
Elston et al., 1999a -c ). Those in the frontal lobe are even larger and
more spinous (Elston, 2000 ). The size of the basal dendritic arbors of
layer III pyramidal cells in different cortical areas closely matches
the size of intrinsic axonal patches (Lund et al., 1993 ; Elston and
Rosa, 1998a ). However, whereas intrinsic patches are a striking feature of supragranular cortex, they are relatively indistinct or absent in
infragranular layers in visual cortex (Rockland and Lund, 1983 ). Thus,
the question then arose, does the systematic variation in the basal
dendritic arbors of supragranular pyramidal cells solely reflect the
patchy nature of intrinsic axon projections in these layers, or does it
reflect a general trend for all pyramidal cells?
The morphology of supragranular and infragranular pyramidal cells
within a given cortical areas have been quantified in a number of
studies (Larkman and Mason, 1990 ; Larkman, 1991a ,b ; Elston et al.,
1999d ). However, these studies have been performed in primary sensory
areas, which are arguably atypical. Our unpublished observations in
association cortex suggest that the morphology of the basal dendritic
arbors of supragranular and infragranular pyramidal cells may differ
between different cortical areas. Infragranular pyramidal cell basal
dendritic arbors may have double the number of spines of supragranular
pyramidal cells within a given cortical area or may have a similar
number of spines. Moreover, there may be considerable differences in
the morphologies of supragranular versus infragranular pyramidal
neurons in homologous areas of different species (Porter et al., 1991 ).
In an effort to test whether the morphological variation reported for
supragranular pyramidal neurons reflects overall differences in the
geometry of cortical columns, we injected pyramidal neurons in layer V in three subdivisions of the temporal lobe: cytoarchitectural areas TEO
and TE (von Bonin and Bailey, 1947 ) and the superior temporal
polysensory area (STP) (Bruce et al., 1981 ; Boussaoud et al., 1991 ).
These areas were chosen as supragranular cells therein show greater
interareal differences through successive levels of the proposed
hierarchies (for review, see Felleman and van Essen, 1991 ) than those
seen in successive areas in the parietal (LIP, 7a) or occipital (V1,
V2) lobes (cf. Elston and Rosa, 1997 , 1998a ; Elston et al., 1999a ,b ).
Moreover, cortical areas TEO, TE, and STP are known to operate at
different levels of analysis of visual information (Young, 1992 , 1993 ;
Gross et al., 1993 ; Rosa, 1997 ). We found that the basal dendritic
fields of layer V pyramidal neurons become larger, more complex and
have greater spine density with progression from TEO to TE and STP.
These trends parallel those observed in supragranular pyramidal cells
and suggest that circuitry may vary between cortical areas. The
interareal differences in cell geometry may result in variation in
columnar organization reported by others (Mountcastle, 1998 ).
 |
MATERIALS AND METHODS |
Methods of perfusion, slice preparation, cell injection,
classification, morphological, and statistical analyses have been detailed in previous studies (Elston and Rosa, 1997 , 1998a ). Briefly, the right hemispheres of two adult macaque monkeys (Macaca
fascicularis) were used in the present study. The protocol for
these experiments was approved by the University of Queensland's
Animal Experimentation Ethics Committee, which also monitored the
welfare of the animals. The animals were deeply anesthetized with
sodium pentobarbitol and perfused intracardially with physiological
saline, which was followed by a solution of 4% paraformaldehyde in 0.1 mol/l phosphate buffer, pH 7.2. Tissue was excised from areas TEO, TE,
and STP, as shown in previous studies (Elston and Rosa 1998a ; Elston et al., 1999a ). Areas TEO and STP were taken from an 11-yr-old animal, and
area TE was taken from a 16-yr-old animal. The tissue was prepared by
"unfolding" the cortex, removing the white matter, and post-fixing
between glass slides. Tangential sections (250 µm) were cut with the
aid of a vibratome and prelabeled with the fluorescent dye 4,6 diamidino-2-phenylindole (DAPI; D9542, Sigma, St. Louis, MO). The
section immediately underlying that which contained layer IV (which was
easily distinguished by the size and density of granular cells: Elston
and Rosa, 1997 ) was then selected for intracellular injection. Under UV
excitation (341-343 nm) both the Lucifer yellow (LY)-filled
microelectrode (back-filled with 0.1 mol/l lithium chloride) and
individual DAPI-labeled somata could be visualized. Neurons were
injected by continuous negative current (up to 100 nA). The period of
injection was determined visually by applying current until the
individual dendrites of each cell could be traced to abrupt distal
tips, and the dendritic spines were easily visible. After cell
injection the tissue was processed with an antibody to Lucifer yellow
(LY), at a concentration of 1:400,000 in stock solution [2% bovine
serum albumin (Sigma A3425), 1% Triton X-100 (30632; BDH Chemicals,
Poole, UK), and 5% sucrose in 0.1 mol/l phosphate buffer]. Anti-LY
was detected by a species-specific biotinylated secondary antibody
(Amersham, Arlington Heights, IL; RPN 1004; 1:200 in stock solution for
2 hr) and then a biotin-horseradish peroxidase complex (Amersham RPN1051; 1:200 in 0.1 mol/l phosphate buffer). Labeling was revealed using 3,3'-diaminobenzidine (DAB) (Sigma D 8001; 1:200 in 0.1 mol/l
phosphate buffer) as the chromogen, allowing reconstruction of cell
morphology in fine detail (Elston and Rosa, 1997 , 1998a ).
Neurons were drawn with the aid of a camera lucida, and basal dendritic
field areas were determined by scanning the drawings of individual
cells and using features of NIH Image software (National Institutes of
Health Research Services, Bethesda, MD) to calculate the areas
contained within a polygon that joined the outermost distal tips of the
dendritic field. Sholl (1953) analysis was performed to determine the
number of bifurcations in the basal dendritic arbors. Spines were drawn
at high power (100× oil immersion objective). Large numbers of cells
were included for analyses, from each cortical area. Whereas there are
obvious advantages in averaging aspects of cell morphology across large
sample sizes to yield data on interareal phenotypic variation among
pyramidal cells, the inclusion of large samples may have some inherent
problems. For example, differences in the proportion of subpopulations
of cells, which may have different morphologies (Matsubara et al., 1996 ), may bias the data. However, specific subpopulations of pyramidal
cells (feedforward and feedback) in visual cortex show similar trends
to those reported when cells are injected randomly (Elston and Rosa,
1999a ,b ). Moreover, it is only through the analyses of large
populations of cells in many different cortical areas that differences
marked systematic differences in pyramidal cell phenotype have been
revealed. All slices in which we injected cells were photographed
before cell injection, allowing for comparison before and after
immunohistochemical processing to determine that shrinkage was
negligible or nonexistent.
 |
RESULTS |
One hundred and eighty neurons were injected in layer V of
cortical areas TEO, TE, and STP. Of these, 80 were included for analyses, because they had an unambiguous apical dendrite
characteristic of pyramidal cells (for review, see Feldman, 1984 ;
DeFelipe and Fariñas, 1992 ), were well filled, and their entire
basal arbors were contained within the slice.
Basal dendritic field areas
As is the case for supragranular pyramidal neurons (Lund et al.,
1993 ; Elston and Rosa, 1997 , 1998a ; Elston et al., 1999a -c ), there
were systematic variations in the size of the basal dendritic fields of
neurons between visual areas (Fig.
1A). The basal
dendritic arbors of pyramidal cells in area TEO (n = 27; mean ± SD; 89.8 × 103
µm2 ± 4.29 × 103 µm2),
were smaller than those in area TE (n = 23; 108.2 × 103 µm2 ± 5.96 × 103
µm2), which were smaller than those in
area STP (n = 30; 141.1 × 103 µm2 ± 5.48 × 103
µm2). An ANOVA revealed these
differences to be significant, and post hoc t
tests showed that basal dendritic field areas were significantly
different between all three cortical areas (Table 1).

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Figure 1.
A, Frequency histograms of basal
dendritic field areas of layer V pyramidal neurons in TEO
(yellow), TE (blue), and STP (red) in
the macaque monkey. B, Plots of Sholl analyses of the
basal dendritic fields of layer V pyramidal neurons as a function of
distance from the cell body. C, Plots of spine
densities, as a function of distance from the cell body, of 20 randomly
selected basal dendrites of different neurons in areas TEO, TE, and
STP. Spine density varied as a function of distance from the soma and
differed between visual areas. Error bars indicate SDs.
|
|
Complexity of the basal dendritic fields
Not only did the basal dendritic fields of layer V pyramidal
neurons become larger with rostral progression through visual areas of
the temporal lobe, but their branching patterns also became more
complex. The increasing complexity of the branching pattern can be seen
in Figure 1B, where we plotted the results of Sholl
analyses. In all three visual areas, the peak dendritic field
complexity is located between 50 and 75 µm from the cell body, beyond
which the number of dendritic branches decreased. From Figure
1B it can also be seen that the average peak
complexities (defined as the maximum number of dendritic intersections
on a given circle) of the basal dendritic fields varied between the different cortical areas. The overall trend was for increasing dendritic field complexity from TEO to TE and from TE to STP. A two-way
repeated measures ANOVA revealed significant differences in the
complexity of the entire basal dendritic arbors between cortical areas.
Post hoc t tests revealed a significant
difference between cells in all three areas (Table
2).
Spine densities of the basal dendrites
In conjunction with the increase in size and complexity of the
basal dendritic fields, there was an increase in the peak spine density
on the basal dendrites of neurons with rostral progression through the
different visual areas. This is seen clearly in Figure 1C,
in which we plotted spine density, as a function of distance from the
cell body, for 20 randomly selected, horizontally projecting basal
dendrites from each area. It is also clear, from Figure 1C,
that spine density varies as a function of distance from the cell body,
reaching a peak at ~70-130 µm from the soma, and tapering toward
the distal tips. An ANOVA, and post hoc t tests,
confirmed that the difference in peak spine densities was significantly different between visual areas (Table 3).
By combining data from the Sholl analyses and spine density, we
calculated the total number of dendritic spines on the basal dendritic
field for the "average" layer V pyramidal neuron in each visual
area. On average, neurons in TEO had 1444 spines, those in TE had 2112 spines, and those in STP had 3324 spines.
 |
DISCUSSION |
Pyramidal neurons were intracellularly injected in layer V in
tangential slices taken from cortical areas TEO, TE, and STP of the
macaque monkey. Analyses of their basal dendritic arbors revealed
differences in the branching patterns, spine densities, and absolute
number of spines: there is a trend for more spinous cells with
progression from TEO to TE, and STP. The increase in the number of
spines (each of which receives at least one excitatory input: Jones and
Powell, 1969 ) in the dendritic arbors of cells in "higher" cortical
areas may be one of the strategies that allow complex processing
reported in these areas (Gross et al., 1969 ; Perrett et al., 1982 ;
Hikosaka et al., 1988 ), such as object recognition independent of the
viewing perspective and polysensory integration.
The size of the basal dendritic arbors of supragranular pyramidal cells
differs markedly across different cortical areas (Lund et al., 1993 ;
Elston and Rosa, 1997 , 1998a ,b ; Elston et al., 1999a -c ; Elston, 2000 ).
In many cortical areas, including areas TEO and TE, the basal dendritic
fields of supragranular pyramidal neurons have been shown to be
correlated with the size of intrinsic axonal patches (cf. Lund et al.,
1993 ; Fujita and Fujita, 1996 ; Elston and Rosa, 1998a ); however, this
is yet to be established for area STP. The periodic organization of
intrinsic axon patches has been described as nonexistent, or very
indistinct, in the infragranular layers in primate visual cortex
(Rockland and Lund, 1983 ). However, projections from area 46 to STP
(TPOr) arborize in columns of 300-500 µm in width (Cusick et
al., 1995 ), closely approximating the average size basal dendritic
arbor of layer V pyramidal cells (420 µm). The close match in the
size of columnar projections to, and basal dendritic arbors of cells
in, these cortical areas may be important for determining sampling
strategies of cells and, consequently, their functional characteristics
(Lund et al., 1993 ; Malach, 1994 ; Elston and Rosa, 1998a ). Indeed,
functional studies report columnar organization in temporal lobe areas
(Fujita et al., 1992 ; Wang et al., 1996 ), with dimensions of the order of the basal dendritic arbors. However, not all projections to temporal
cortex form columnar arborizations. For example, projections from many
prefrontal areas to TE terminate preferentially in the supragranular
layers (Rempel-Clower and Barbas, 2000 ). Furthermore, projections from
area TEO to area TE form band-like arborizations with varying
anteroposterior profiles (Saleem et al., 1993 ) (for review, see Tanaka,
1997 ; Fujita, 1997 ; Yukie, 1997 ). Thus, individual neurons within
cortical areas of the temporal lobe may sample the different sets of
inputs according to different strategies, determined by geometrical
relationships. The geometrical arrangement between axonal arborizations
and dendritic arbors possibly reflect the functional requirements of
the target cells.
Differences in the morphology and spine density of basal dendritic
arbors of pyramidal cells in different cortical areas, and different
layers of the same area, may affect the numbers of inputs that are
integrated by (Elston et al., 1999a ,b ), and propagation of potentials
through (Koch, 1999 ), their dendritic trees. Differing cell morphology
may also be linked to the polarity of changes in synapse properties
after electrical stimulation: the same experimental stimulus causes
long-term depression in V1 cells but long-term potentiation in TE cells
(Murayama et al., 1997 ). As infragranular and supragranular pyramidal
cells also have markedly different apical dendrites, and the proportion
of spines in the basal and apical components differs considerably (Larkman, 1991a ), the relative "weight" of inputs also seems likely to influence the functional properties of infragranular versus supragranular cells (Sawatari and Callaway, 1996 ). Finally,
backpropagation of action potentials into the dendritic arbors is
reportedly influenced by a number of factors, including morphology,
distribution of voltage-gated channels, and synaptic inhibition (for
review, see Spruston et al., 1999 ). Thus, the markedly different
morphologies of infragranular and supragranular pyramidal cells may
affect the rate of decay of backpropogating potentials (for a review in
axons, see Goldstein and Rall, 1974 ). Further experiments are required to establish to what extent morphological differences reported
here affect the functional signatures of these cells.
Conclusions
The present results reveal differences in the morphology of the
basal dendritic fields of infragranular pyramidal neurons in different
cortical areas of the temporal lobe. These results parallel findings
for supragranular pyramidal cells and support the view that pyramidal
cells are markedly different across different regions. These findings
raise the possibility that intra-areal columnar circuitry may be
specialized for the functional requirements of a particular cortical area.
 |
FOOTNOTES |
Received Aug. 4, 2000; revised Sept. 25, 2000; accepted Oct. 4, 2000.
This work was supported by a project grant (990007) and a C.J. Martin
Fellowship (G.N.E.) from the Australian National Health and Medical
Research Council. We thank Dr. D. Vaney for providing the facilities
for the cell injection experiments and Prof. J. Pettigrew and Dr. S. Ghosh for providing cortical tissue. We also thank Dr. D. Pow for
providing his antibody to Lucifer yellow.
Correspondence should be addressed to Guy Elston, Instituto Cajal,
Avenida Dr. Arce, 37, Madrid, 28002, Spain. E-mail:
G.Elston{at}vthrc.uq.edu.au.
Dr. Rosa's present address: The Department of Physiology, Monash
University, Clayton 3800, Victoria, Australia.
This article is published in
The Journal of Neuroscience, Rapid Communications Section,
which publishes brief, peer-reviewed papers online, not in print. Rapid
Communications are posted online approximately one month earlier than
they would appear if printed. They are listed in the Table of Contents
of the next open issue of JNeurosci. Cite this article as:
JNeurosci, 2000, 20:RC117 (1-5). The
publication date is the date of posting online at
www.jneurosci.org.
 |
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