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The Journal of Neurophysiology Vol. 88 No. 4 October 2002, pp. 1924-1932
Copyright ©2002 by the American Physiological Society
Department of Neuroscience, Division of Biology and Medicine, Brown University, Providence, Rhode Island 02912
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ABSTRACT |
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Beierlein, Michael and Barry W. Connors. Short-Term Dynamics of Thalamocortical and Intracortical Synapses Onto Layer 6 Neurons in Neocortex. J. Neurophysiol. 88: 1924-1932, 2002. Layer 6 is the main source of neocortical connections back to specific thalamic nuclei. Corticothalamic (CT) systems play an important role in shaping sensory input, but little is known about the functional circuitry that generates CT activity. We recorded from the two main types of neurons in layer 6, regular-spiking (RS; pyramidal neurons) and fast-spiking (FS; inhibitory interneurons) cells and compared the physiological properties of different excitatory inputs. Thalamic stimulation evoked two monosynaptic inputs with distinct properties: suspected thalamocortical (TC) synaptic events had short latencies, short-term synaptic depression, and paired-pulse responses that suggested subnormal axonal conduction. A second group of synaptic responses likely originated from intracortical collaterals of CT cells that were antidromically activated from the thalamus. These intracortical responses had longer latencies, short-term synaptic facilitation, and were transmitted by axons with supernormal conduction. Suspected TC inputs to FS cells had significantly larger amplitudes than those onto RS cells. Dual recordings from neighboring neurons in layer 6 revealed both facilitating and depressing synaptic connections; the depressing synapses were probably formed by layer 6 cells that do not project to the thalamus, and thus were not sampled by thalamic stimulation. We conclude that layer 6 neurons integrate a variety of inputs with distinct temporal dynamics that are determined by the presynaptic cell type.
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INTRODUCTION |
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Layer 6 is the main source of
axons that project from neocortex back to the thalamus. In sensory
thalamic nuclei, corticothalamic (CT) synapses far outnumber those from
the ascending sensory systems (Sherman and Guillery
1996
). Despite this numerically impressive input, little is
known about the functions of this feedback projection. Some studies in
the visual system suggest that CT connections help to synchronize the
activity of cells in the lateral geniculate nucleus as they respond to
a single elongated stimulus (Sillito et al. 1994
). More
generally, CT feedback might play a role in forming dynamic
spatiotemporal maps that encode stimulus information in the thalamus
(Krupa et al. 1999
). CT connections may also help to
trigger and maintain long-range thalamic synchrony, e.g., during sleep
spindles (Contreras et al. 1996
).
In addition to sending axonal projections to the thalamus, CT cells in
layer 6 also project to layer 4 within the same cortical column
(Bolz and Gilbert 1986
; Callaway and Lieber
1996
; Gilbert and Wiesel 1979
; Katz
1987
; Martin and Whitteridge 1984
;
Stratford et al. 1996
; Zhang and Dechenes
1997
). Anatomical (White and Keller 1987
) and
physiological (Bolz and Gilbert 1986
) studies suggest that inhibitory cells in layer 4 are a common target of CT cells (but
see Staiger et al. 1996
). Layer 6 cells thus control
sensory input to the neocortex on at least two levels: in the thalamus and in the cortex within layer 4. In addition, layer 6 contains a large
group of neurons that do not project to thalamus but send ascending
collaterals to layer 5 as well as to other cortical areas (Zhang
and Dechenes 1997
).
To understand more clearly the type of information layer 6 is
transferring to thalamus or other cortical layers, it is important to
characterize the types of inputs that layer 6 receives. Specific sensory thalamic nuclei project directly to layer 6 (Agmon and Connors 1992
; Herkenham 1980
; LeVay and
Gilbert 1976
) as well as to layer 4. In the somatosensory
system, whisker-evoked activity of layer 6 neurons occurs
simultaneously with, and often precedes, activity of layer 4 neurons
(Simons 1978
; Swadlow 1989
). While several studies have investigated the properties and short-term dynamics of thalamocortical (TC) synapses onto layer 4 cells
(Gibson et al. 1999
; Gil et al. 1999
;
Stratford et al. 1996
), similar studies have not been
performed for TC synapses in layer 6. Similarly, little is known about
the synaptic properties of local cortical connections within layer 6. Layer 6-to-layer 4 synapses have been shown to display short-term
facilitation onto inhibitory (J. R. Gibson and B. W. Connors,
unpublished) as well as excitatory cells (Stratford et al.
1996
), suggesting that collaterals that remain within layer 6 might facilitate as well (Ferster and Lindstrom 1985
).
Here we studied several distinct pathways that converge onto layer 6 cells. Extracellular stimulation in thalamus evoked two types of monosynaptic responses that could be reliably distinguished using cluster analysis; TC synapses had short latencies and displayed synaptic depression, whereas intracortical synapses formed by CT cells had long latencies and displayed short-term synaptic facilitation. Axons of CT cells, but not TC axons, showed strong supernormal conduction. Dual recordings within layer 6 revealed synapses displaying short-term depression, likely formed by cells that do not project to thalamus.
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METHODS |
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Slice preparation and recording
Thalamocortical slices (400 µm thick) were prepared as
described previously (Agmon and Connors 1991
;
Gibson et al. 1999
). Briefly, Sprague-Dawley rats aged
P14-P21 were anesthetized with pentobarbital and decapitated, and
their brains were quickly immersed in ice-cold, oxygenated artificial
cerebrospinal fluid (ACSF). Slices were incubated at 32°C for 1 h, then held at room temperature. The recording chamber was maintained
at 32°C. The ACSF contained (in mM) 126 NaCl, 3 KCl, 1.25 NaH2PO4, 2 MgSO4, 2 CaCl2, 26 NaHCO3, and 10 dextrose, saturated with 95%
O2-5% CO2.
Micropipettes were filled with (in mM) 135 K-gluconate, 4 KCl, 2 NaCl,
10 HEPES, 0.2 EGTA, 4 ATP-Mg, 0.3 GTP-Tris, and 0.5-10 phosphocreatine-Tris (pH 7.25, 295 mosM). All recordings (single or
dual cell) were made in current-clamp mode (Axoclamp 2B, Axon Instruments), with IR-DIC visualization using a Zeiss Axioskop and a
CCD camera (Hamamatsu). Synaptic responses were evoked with extracellular stimuli lasting 200 µs, typically of about 40 µA (range: 5-100 µA), applied through paired microwires located in either the ventrobasal nucleus or the reticular nucleus of the thalamus. Excitatory synaptic responses were measured at postsynaptic membrane potentials of
60 to
70 mV, and 50 µM
DL-2-amino-5-phosphopentanoic acid (AP5, Sigma) was
included in the bath to block
N-methyl-D-aspartate (NMDA) receptors. When
inhibitory postsynaptic potentials (IPSPs) were apparent at more
depolarized membrane potentials, the recording was discarded.
Threshold synaptic responses were collected with a "minimal
stimulus" protocol (Gil et al. 1999
; Gibson et
al. 1999
): stimulus intensity was adjusted to evoke EPSPs in
only about 50% of trials. Responses were considered monosynaptic if
the latency jitter was less than 1 ms, and synaptic responses had
similar rise times from trial to trial.
To measure antidromic latencies of CT neurons, slices were bathed in AP5 and 6,7-dinitroquinoxaline-2,3-dione (DNQX; 20 µM, Sigma), to block both NMDA and AMPA receptors, respectively. Extracellular single-unit recordings were obtained using patch micropipettes filled with ACSF, and signals were band-bass filtered at 0.3-10 kHz.
Analysis
Data acquisition and analysis were performed in Labview (National Instruments) with routines written by Jay R. Gibson. Cluster analysis was carried out with Ward's method (Statistica) and squared Euclidian distances. All data are reported as means ± SD.
Anatomical labeling
In some recordings biocytin (4 mg/ml) was added to the normal
internal solution (Gibson et al. 1999
). Slices were
fixed in 4% paraformaldehyde (sometimes with 0.2% picric acid) in 0.1 M phosphate buffer, transferred to 30% sucrose, resectioned to a thickness of 80 µm, and reacted with avidin-biotin-peroxidase (Vector).
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RESULTS |
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We recorded from two types of neurons, whose somata were usually
in the lower half of layer 6 (Fig.
1A). Regular-spiking (RS) cells had medium- to small-diameter cell bodies as seen under IR-DIC
optics. Their action potentials were relatively broad (half-width of
1.0 ± 0.26 ms, n = 49), and displayed prominent
adaptation of spiking frequency when stimulated with long current steps
(Fig. 1B). In contrast, fast-spiking (FS) cells had larger
cell bodies and generated nonadapting trains of briefer action
potentials (half-width of 0.36 ± 0.11 ms, n = 18;
compared with RS cells, P < 0.001, t-test;
Fig. 1C). A second class of inhibitory interneurons, low-threshold spiking (LTS) cells (n = 8, data not
shown), displayed broader spikes and stronger spike frequency
adaptation, as compared with FS cells. Because few cases of
thalamus-evoked synaptic responses onto LTS cells were found (cf.
Gibson et al. 1999
), data from this cell type are not
included in this report. The intrinsic physiological properties of all
three cell types were very similar to those previously described for
cells in other neocortical layers (cf. Connors and Gutnick
1990
; Gibson et al. 1999
; McCormick et al. 1985
).
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Seven RS and three FS cells of layer 6 were filled with biocytin, and
their morphology was reconstructed (not shown). RS cells often had a
distinct apical dendrite that sometimes reached into layer 4 or beyond,
and they formed sparse local axonal arbors. It was not routinely
possible to trace axons into the internal capsule, thus CT cells could
not be distinguished anatomically from corticocortical cells. FS cells
had relatively aspiny vertically oriented dendrites and a dense local
axonal plexus, suggestive of basket cells (Zhang and Dechenes
1997
).
Properties of thalamus-evoked synaptic responses
Extracellular stimulation in the thalamus can potentially activate
two distinct monosynaptic pathways that generate excitatory responses
in layer 6 cells (Fig. 2A).
First, short-latency EPSPs can be evoked by orthodromic activation of
TC afferents (Agmon and Connors 1992
; Ferster and
Lindstrom 1983
; Gil and Amitai 1996
; Martin and Whitteridge 1984
;Swadlow
1995
). Second, EPSPs can be evoked by the intracortical
collaterals of CT cells in layer 6, whose axons are activated
antidromically from the thalamus (Ferster and Lindstrom
1985
). These intracortical responses, while still monosynaptic,
are expected to have longer latencies due to the generally slower
conduction velocity of CT axons (Swadlow 1990
). Indeed,
we found that stimulation in the thalamus with paired stimulus pulses
revealed two types of monosynaptic responses (Table 1). The majority (n = 33 EPSPs) had relatively short latencies and almost always (32 of 33 responses) displayed strong paired-pulse depression (Fig.
2B). These properties are similar to those of the TC EPSPs
in layer 4 (Gil et al. 1999
). A smaller number of responses (n = 12) had longer latencies, and almost all
displayed paired-pulse facilitation (Fig. 2C). Plotting the
paired-pulse ratio of EPSP amplitude
(EPSP2/EPSP1), tested with
a 25-ms interstimulus interval versus the EPSP latency for all
experiments revealed two distinct groups of data points (Fig.
2D), suggesting that the thalamus-evoked responses were
mediated by two distinct pathways. Cluster analysis using response
latency and paired-pulse ratio as variables led to the same
distinction. In the following, we will refer to the short-latency,
depressing synaptic response as the suspected thalamocortical
response (sTC) and the long-latency, facilitating response as the
suspected intracortical response of antidromically activated
CT neurons (sCT). Both sTC and sCT EPSPs were recorded in RS
cells and FS cells, and there were no significant cell type-specific
differences in their short-term dynamics or latencies (Table 1). In
three cells, both short- and long-latency EPSPs could be evoked from
the thalamus (Fig. 3B) with
the short-latency response always detectable in isolation at a lower
stimulus intensity.
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CT axons are thinner than TC axons (Jones and Powell
1969
). Axon diameter and the spike-threshold amplitude of
extracellular current are inversely related (Jack et al.
1975
), so we would expect TC axons to have lower thresholds
than CT axons (cf. Rose and Metherate 2001
). Consistent
with this hypothesis, there was a significant difference in the
threshold current necessary to yield a synaptic response for the two
EPSP groups (50 ± 37 µA for sTC responses vs. 101 ± 51 µA for sCT responses, P = 0.002, t-test).
We used trains of eight stimuli to estimate the steady-state responses
for both types of EPSPs. In agreement with findings in layer 4 (Gibson et al. 1999
), sTC EPSPs to both RS and FS cells showed strong short-term depression (Fig. 3, A and
C). The normalized steady-state values
(EPSP6-8/EPSP1) at 10 and
40 Hz were very similar in RS and FS cells (0.38 ± 0.07, n = 4 for RS cells vs. 0.34 ± 0.08, n = 4 for FS cells at 10 Hz; 0.26 ± 0.01, n = 5 for RS cells vs. 0.26 ± 0.02, n = 5 for FS cells at 40 Hz). In contrast, sCT
responses consistently facilitated (Fig. 3, B and
D). In FS cells, steady-state values of 40-Hz trains were 1.5 ± 1.0 (n = 4) at 10 Hz and 1.7 ± 0.9 (n = 3) at 40 Hz. It was not possible to record
isolated sCT response trains in RS cells because stimuli late in the
train evoked disynaptic IPSPs. However, trains of four stimuli revealed
that sCT EPSPs facilitate in RS cells as well (n = 4, Fig. 3D).
Because the dendrites of many layer 6 cells reach into layer 4, it is
possible that TC axons contact layer 6 cells predominantly in layer 4 (Keller and White 1989
; White and Hersch
1982
). To test whether our sTC responses were generated
by synapses within layer 4 or 6, we made approximately 1-mm-long
cuts through the slice in upper layer 6, parallel to the pia, and
recorded from neurons below the cut. Stimulation in the thalamus still
led to depressing sTC EPSPs (n = 4) with the same
properties as those from uncut slices, suggesting that at least some of
the sTC responses originated from synapses within layer 6.
Taken together, these data suggest that thalamus-evoked responses can be reliably categorized into two groups based on their distinct latencies and short-term dynamics.
Minimal TC response is larger in FS than in RS cells
In a previous study of thalamic inputs to layers 4 and 6, we found
that single-axon TC responses onto FS cells were twice as large as
those onto RS cells (Gibson et al. 1999
), suggesting that FS cells play a crucial role in mediating feed forward inhibition. To test whether this circuitry exists specifically in layer 6, we
recorded minimal responses from both RS and FS cells and restricted our
sample to sTC responses (Fig.
4A). Under these conditions, the amplitudes of EPSPs onto FS cells were three times larger than
those onto RS cells on average (Fig. 4, B and C).
Furthermore, EPSP rise times and times to peak were shorter in FS cells
than in RS cells (Table 1), suggesting that FS cells will fire action potentials more readily and with higher precision in response to
thalamic input (cf. Fricker and Miles 2000
).
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Isolated CT fibers have relatively long latencies
The latency of a synaptic response depends on axonal conduction velocity and length as well as the kinetics of synaptic transmission. We obtained estimates of CT axonal conduction time alone by blocking excitatory synaptic transmission with DNQX and AP5, stimulating the thalamus, and activating layer 6 CT neurons antidromically (Fig. 5A). To sample a large number of neurons, we recorded extracellularly in layer 6 from neurons that generated antidromic all-or-none spikes (i.e., single units). Similar to our findings when excitatory transmission was intact, the threshold stimulus intensities necessary to evoke antidromic CT responses were relatively high (98 ± 45 µA, n = 34).
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Antidromic spikes in CT cells had an average latency of 3.4 ± 0.9 ms, significantly longer than the EPSP latencies measured for the sTC responses (2.1 ± 0.55 ms) but also, on average, significantly shorter than the EPSP latencies of the sCT responses (5.2 ± 1.0 ms; Fig. 5B). Differences between the synaptic latencies of sCT EPSPs and spike latencies of CT cells are expected because spike propagation through the intracortical axon collaterals and synaptic transmission lead to additional delays.
To test the possibility that layer 5 CT neurons (via their axonal
projections to layer 6) contributed to some of the synaptic responses
recorded in this study, we tested whether these cells could be
activated antidromically. In studies in vivo, layer 5 neurons had the
fastest conduction velocities of corticofugal axons (Swadlow
1990
). However, we failed to detect antidromically activated CT
cells in layer 5 even when layer 6 cells in the same cortical column
could be reliably activated (0/8 slices).
In summary, these data suggest that the relatively long-latency synaptic responses in layer 6 originated from antidromically evoked CT neurons with somata in layer 6.
CT fibers display supernormality
To further distinguish sTC from sCT responses, we measured the
recovery properties of axonal conduction. When an axon is activated, the relative refractory period is sometimes followed by a period during
which a second action potential shows a small increase in conduction
velocity and a decrease in threshold; this is the "supernormal"
period (Swadlow and Waxman 1975
; Swadlow et al. 1980
). The magnitude and time course of supernormality varies widely in different axonal pathways. Supernormality is prominent in CT
fibers (Kelly et al. 2001
; Swadlow 1990
)
but appears to be absent in TC axons in vivo (H. A. Swadlow,
personal communication). Although the cellular mechanisms of
supernormality are not well understood, it offers a second independent
test (along with conduction velocity itself), to distinguish the two
types of thalamus-evoked synaptic responses.
Extracellular single-unit recordings in layer 6 were obtained by antidromic activation in the thalamus, as described in the preceding text. Indeed, CT axons displayed clear supernormal conduction during paired-pulse stimulation (Fig. 5C). At an interstimulus interval (ISI) of 25 ms, the average reduction in spike latency was about 12%. Paired stimuli at various intervals revealed that supernormality lasted about 100 ms and peaked at short ISIs (10-20 ms; Fig. 5D).
We carefully examined latencies of thalamus-evoked EPSPs from whole cell recordings in response to paired-pulse stimuli (Fig. 6A). Indeed, 11 of 12 sCT responses displayed supernormality, the magnitude of which depended on the ISI (average decrease in latency at 25 ms ISI was 8%). In contrast, most of the sTC responses displayed subnormal conduction at comparable intervals (Fig. 6B; average increase in latency at 25 ms ISI was 5%, n = 33).
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We carried out a cluster analysis using the paired-pulse ratio, response latency, and percent change in latency as variables. Using the same data pool described in the preceding text we found two clusters of responses (Fig. 7) that were identical to those defined previously (Fig. 2C). Thus it appears that sTC and sCT responses can be reliably distinguished based on their latency, short-term synaptic dynamics, as well as the presence of axonal supernormality.
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Intracortical excitatory synapses can display short-term depression
Our data suggest that the intracortical synapses of CT cells
displayed short-term facilitation, while TC EPSPs were strongly depressing. A third excitatory connection originates locally from layer
6 cells that do not project to thalamus but target other cortical
areas. In somatosensory cortex, these corticocortical neurons make up
roughly 50% of the excitatory cells in layer 6 (Zhang and
Deschenes 1997
). To probe the properties and dynamics of
intracortical synapses more directly, we recorded from pairs of
neighboring layer 6 cells (somatic spacing <50 µm). Connectivity was
relatively sparse. Among 102 RS-RS cell pairs, only four synaptic connections were found (a probability of about 2% because each pair
has two possible connections). Three pairs showed short-term depression
(Fig. 8A), and one showed
short-term facilitation. All depressing connections showed a modest
rate of EPSP failures (P = 0.18, n = 3). Excitatory connections onto FS cells were found more frequently.
Among 41 RS-FS pairs, four excitatory connections were found (10%
probability because excitation goes only from RS to FS). Two such pairs
displayed short-term facilitation (Fig. 8B) and two pairs
displayed short-term depression.
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While preliminary, these data suggest that there are at least two types of local excitatory connections within layer 6, whose dynamic properties are determined by the presynaptic cell type. Synapses displaying short-term facilitation likely originate from CT cells, and they can be probed by thalamic stimulation as described above. In contrast, depressing synapses likely originate from corticocortical cells, as they can only be found using intracortical stimulation. Thus the short-term dynamics of excitatory synapses in layer 6 are apparently determined by the presynaptic cell type.
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DISCUSSION |
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In this study, we used extracellular thalamic stimulation to evoke two distinct types of monosynaptic responses in layer 6 neurons. Each synaptic response was distinguished by its latency, synaptic dynamics, and axonal conduction properties. TC inputs generated short-latency EPSPs with strong short-term depression and subnormal conduction. In contrast, inputs originating from intracortical CT collaterals generated long-latency facilitating EPSPs carried by axons with supernormal conduction. These physiological differences between TC and CT systems may be specializations related to their particular functions within the thalamocortical system.
Identification of TC and CT pathways
Extracellular stimulation techniques can ultimately offer only
indirect evidence about the identity of the synaptic pathways stimulated. Thus most studies of thalamocortical slices have devoted considerable effort to separating specific, identified synaptic responses from one another (e.g., Agmon and Connors 1991
,
1992
; Crair and Malenka 1995
; Cruikshank
et al. 2002
; Gil et al. 1996
; Isaac et al. 1997
; Laaris et al. 2000
;
Rhoades et al. 1994
; Rose and Metherate
2001
). Nevertheless, the physiology of the relevant pathways
had not been explicitly compared. Using cluster analysis of three
variables
latency, axon conduction recovery, and short-term synaptic
dynamics
we were able to separate two distinct pathways. This study
therefore provides the first objective separation of thalamically
evoked responses from other responses in an in vitro slice preparation.
The fast, depressing EPSPs probably arose from thalamocortical
synapses. In vivo studies have shown that the most rapidly conducting
axons between cortex and thalamus are typically thalamocortical fibers
(Swadlow 1995
). It is also very likely that the
long-latency facilitating EPSPs evoked by thalamic stimulation
originated from layer 6 CT neurons. While extracellular recordings
indeed revealed antidromically activated layer 6 cells, we never
observed antidromic spikes during whole cell recordings. It is possible
that extracellular recordings allowed the sampling of a larger number
of neurons. Rose and Metherate (2001)
, recording with
whole cell electrodes in an auditory thalamocortical slice, found that
fewer than 3% of infragranular neurons could be activated
antidromically by strong stimulation of the medial geniculate nucleus.
Dual whole -cell recording from neurons in thalamus and neocortex
(Golshani et al. 2001
), will ultimately provide the most
direct test of the properties of the TC and CT pathways.
Are there alternative explanations for these results? Some layer 5 neurons send an axonal branch to the thalamus and also have collaterals terminating in layer 6. Thus thalamic stimulation could lead to monosynaptic activation of layer 5 to layer 6 synapses. However, in our slice preparation we were unable to activate layer 5 cells antidromically. It is possible that the CT projection from layer 5 is mostly severed in the thalamocortical slice.
Our results provide the strongest evidence yet that thalamocortical
slice preparations can be used reliably to study the physiological properties of monosynaptic thalamocortical synapses (Agmon and Connors 1991
; Cruikshank et al. 2002
). There are
caveats, however. Strong extracellular stimulation of the thalamus, or
the pathways between thalamus and cortex, can antidromically activate
corticothalamic axons, and their intracortical collaterals and
synapses. However, by using low stimulation strength and careful
assessment of axonal and synaptic response properties, the afferent or
efferent origins of most thalamically evoked cortical responses can be identified.
Axonal conduction properties of TC and CT pathways
A variety of axonal systems display supernormality, defined as an
increase in conduction velocity and a decrease in threshold after the
relative refractory period (Swadlow and Waxman 1975
). While the cellular mechanisms of supernormal conduction remain poorly
understood, it has been used to reliably distinguish different pathways
in vivo by antidromic activation of neurons from their respective
projection targets. However, no in vitro study has made use of this
phenomenon to distinguish pathways within the thalamocortical system.
Our finding that corticothalamic units as well as long-latency synaptic
responses display supernormal axonal conduction agrees with studies in
rabbits (H. A. Swadlow, personal communication) and rats
(Kelly et al. 2001
). In contrast, all thalamocortical
responses show either no change in axonal velocity or a slight decrease.
It is likely that these properties contribute to the functional differences between the two systems. Only minimal jitter in thalamocortical propagation is introduced by the variability in axonal conduction. In contrast, spike propagation in corticothalamic axons might be more variable, suggesting that precise timing of activity is not a requirement in this system.
Synaptic properties of TC and CT pathways
Recent studies have suggested that short-term synapse dynamics are
important for the functions of circuits in the cerebral cortex
(Markram et al. 1998
; Thomson 2000
;
Zucker and Regehr 2002
). Synapse dynamics can vary
widely, and the pathways between and within neocortex and thalamus
provide a dramatic example of this diversity. TC EPSPs in layer 6 showed strong short-term depression together with relatively small
variations in amplitude during minimal stimulation. Both features
suggest a high release probability from TC synaptic terminals. When
tested by dual recordings, intra-layer 6 synapses also showed
depression but to a lesser degree than TC synapses. While the small
number of pairs recorded does not allow definite conclusions, our
results agree with those seen previously in layer 4, where TC synapses
are more effective than intracortical excitatory synapses because the
former have more release sites per axon and a higher probability of
transmitter release (Gil et al. 1999
).
Similar to synapses in layer 4 (Gibson et al. 1999
;
Porter et al. 2001
), TC EPSPs onto FS cells in layer 6 were distinctly larger than those onto RS cells. Both anatomical and
physiological specializations may contribute to this difference. FS
cells might be contacted by TC synapses with more release sites as well
as a higher probability of release and quantal size. Our data, obtained using minimal stimulation, do not help to distinguish between these
possibilities. Regardless, our results do support the idea that
feed-forward inhibition of afferent input is a general principle in a
variety of brain regions (Shepherd 1988
).
Intracortical synapses of CT cells in layer 6 targeted both FS and RS
cells and showed short-term facilitation. CT cells also form
facilitating synapses on cells of the thalamic relay nuclei (Turner and Salt 1998
; von Krosigk et al.
1999
). Furthermore, CT cells project into layer 4, where they
form facilitating synapses onto both FS and LTS cells but not RS cells
(J. R. Gibson and B. W. Connors, unpublished data). This
suggests that the presynaptic CT neuron determines the short-term
properties of all its synaptic terminals.
Synaptic properties play an in important role in controlling which
aspects of the presynaptic activity pattern are extracted by the
postsynaptic cell, although few studies have addressed this issue
directly (Chance et al. 1998
). Thus layer 6 neurons might preferentially respond to transient changes in thalamocortical activity (cf. Abbott et al. 1997
). In contrast, local
inputs mediated by facilitating synapses formed by CT cells might
provide information about the ongoing tonic activity pattern, which is
relayed back to thalamus.
Local and global connectivity in the thalamocortical system
While layer 6 and layer 4 show similarities in the properties of
thalamocortical synapses, sensory activity is likely to be processed
differently by these two layers. Several studies have shown that
excitatory neurons within individual layer 4 barrels in somatosensory
cortex are highly interconnected (Feldmeyer et al.
1999
; Petersen and Sakmann 2000
), thus
forming the substrate for amplification and redistribution of sensory
inputs to other layers. In contrast, layer 6 appears to be much more
sparsely connected as suggested by the low percentage of synaptically
connected cell pairs observed in our sample.
One reason for this sparse connectivity might be the unique excitatory
loop that exists between cortical layer 6 and the ventrobasal nuclei of
the thalamus (Deschenes et al. 1998
). Due to the precise topographic architecture of the rodent somatosensory system, layer 6 CT
cells project to the same thalamic barreloid from which they receive
thalamocortical inputs. In fact, this synaptic reciprocity might exist
for individual pairs of neurons in thalamus and layer 6, although that
has never been shown directly. Restricted interconnected networks of
layer 6 and thalamic neurons might form an important substructure of
cortical processing (Jones 2001
; Steriade
2001
).
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ACKNOWLEDGMENTS |
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We thank Y. Amitai, J. Brumberg, and M. Long for comments, J. Gibson for helpful discussions and programming assistance, and H. Swadlow for suggesting that supernormal conduction could be used to distinguish axon types.
This work was supported by a fellowship from the Burroughs-Wellcome Fund (to M. Beierlein) and grants from National Institutes of Health (NS-25983 and DA-12500) to B. W. Connors.
Present address for M. Beierlein: Dept. of Neurobiology, Harvard Medical School, Boston, MA 02115.
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FOOTNOTES |
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Address for reprint requests: B. W. Connors, Dept. of Neuroscience, Box 1953, Brown University, Providence, RI 02912 (E-mail: BWC{at}Brown.edu).
Received 13 April 2002; accepted in final form 24 June 2002.
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REFERENCES |
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A. Hasenstaub, R. N. S. Sachdev, and D. A. McCormick State Changes Rapidly Modulate Cortical Neuronal Responsiveness J. Neurosci., September 5, 2007; 27(36): 9607 - 9622. [Abstract] [Full Text] [PDF] |
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H. Xu, V. C. Kotak, and D. H. Sanes Conductive Hearing Loss Disrupts Synaptic and Spike Adaptation in Developing Auditory Cortex J. Neurosci., August 29, 2007; 27(35): 9417 - 9426. [Abstract] [Full Text] [PDF] |
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A. Bremaud, D. C. West, and A. M. Thomson Binomial parameters differ across neocortical layers and with different classes of connections in adult rat and cat neocortex PNAS, August 28, 2007; 104(35): 14134 - 14139. [Abstract] [Full Text] [PDF] |
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T. Karayannis, I. Huerta-Ocampo, and M. Capogna GABAergic and Pyramidal Neurons of Deep Cortical Layers Directly Receive and Differently Integrate Callosal Input Cereb Cortex, May 1, 2007; 17(5): 1213 - 1226. [Abstract] [Full Text] [PDF] |
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R. Reig, R. Gallego, L. G. Nowak, and M. V. Sanchez-Vives Impact of Cortical Network Activity on Short-term Synaptic Depression Cereb Cortex, May 1, 2006; 16(5): 688 - 695. [Abstract] [Full Text] [PDF] |
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D. S. Soteropoulos and S. N. Baker Cortico-Cerebellar Coherence During a Precision Grip Task in the Monkey J Neurophysiol, February 1, 2006; 95(2): 1194 - 1206. [Abstract] [Full Text] [PDF] |
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D. C. West, A. Mercer, S. Kirchhecker, O. T. Morris, and A. M. Thomson Layer 6 Cortico-thalamic Pyramidal Cells Preferentially Innervate Interneurons and Generate Facilitating EPSPs Cereb Cortex, February 1, 2006; 16(2): 200 - 211. [Abstract] [Full Text] [PDF] |
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Q.-Q. Sun, J. R. Huguenard, and D. A. Prince Barrel Cortex Microcircuits: Thalamocortical Feedforward Inhibition in Spiny Stellate Cells Is Mediated by a Small Number of Fast-Spiking Interneurons J. Neurosci., January 25, 2006; 26(4): 1219 - 1230. [Abstract] [Full Text] [PDF] |
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A. Mercer, D. C. West, O. T. Morris, S. Kirchhecker, J. E. Kerkhoff, and A. M. Thomson Excitatory Connections Made by Presynaptic Cortico-Cortical Pyramidal Cells in Layer 6 of the Neocortex Cereb Cortex, October 1, 2005; 15(10): 1485 - 1496. [Abstract] [Full Text] [PDF] |
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H. J. Rose and R. Metherate Auditory Thalamocortical Transmission Is Reliable and Temporally Precise J Neurophysiol, September 1, 2005; 94(3): 2019 - 2030. [Abstract] [Full Text] [PDF] |
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C. E. Boudreau and D. Ferster Short-Term Depression in Thalamocortical Synapses of Cat Primary Visual Cortex J. Neurosci., August 3, 2005; 25(31): 7179 - 7190. [Abstract] [Full Text] [PDF] |
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J. T. Porter and D. Nieves Presynaptic GABAB Receptors Modulate Thalamic Excitation of Inhibitory and Excitatory Neurons in the Mouse Barrel Cortex J Neurophysiol, November 1, 2004; 92(5): 2762 - 2770. [Abstract] [Full Text] [PDF] |
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C. Wirth and H.-R. Luscher Spatiotemporal Evolution of Excitation and Inhibition in the Rat Barrel Cortex Investigated With Multielectrode Arrays J Neurophysiol, April 1, 2004; 91(4): 1635 - 1647. [Abstract] [Full Text] [PDF] |
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A. R. Best and D. A. Wilson Coordinate Synaptic Mechanisms Contributing to Olfactory Cortical Adaptation J. Neurosci., January 21, 2004; 24(3): 652 - 660. [Abstract] [Full Text] [PDF] |
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M. Beierlein, J. R. Gibson, and B. W. Connors Two Dynamically Distinct Inhibitory Networks in Layer 4 of the Neocortex J Neurophysiol, November 1, 2003; 90(5): 2987 - 3000. [Abstract] [Full Text] [PDF] |
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J. Li, W. Guido, and M. E. Bickford Two Distinct Types of Corticothalamic EPSPs and Their Contribution to Short-Term Synaptic Plasticity J Neurophysiol, November 1, 2003; 90(5): 3429 - 3440. [Abstract] [Full Text] [PDF] |
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