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The Journal of Neuroscience, February 1, 2003, 23(3):1087
Activity of Different Classes of Neurons of the Motor Cortex
during Locomotion
Irina N.
Beloozerova1,
Mikhail G.
Sirota1, and
Harvey A.
Swadlow2
1 Barrow Neurological Institute, St. Joseph's Hospital
and Medical Center, Phoenix, Arizona 85013, and
2 Department of Psychology, University of Connecticut,
Storrs, Connecticut 06269
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ABSTRACT |
This study examines the activity of different classes of neurons of
the motor cortex in the rabbit during two locomotion tasks: a simple
(on a flat surface) and a complex (overstepping a series of barriers)
locomotion. Four classes of efferent neurons were studied:
corticocortical (CC) neurons with ipsilateral projection (CCIs), those
with contralateral projection (CCCs), descending corticofugal neurons
of layer V (CF5s), and those of layer VI (CF6s). In addition, one class
of inhibitory interneurons (SINs) was investigated. CF5 neurons and
SINs were the only groups that were strongly active during locomotion.
In most of these neurons a clear-cut modulation of discharge in the
locomotion rhythm was observed. During simple locomotion, CF5s and SINs
were preferentially active in opposite phases of the step cycle,
suggesting that SINs contribute to formation of the step-related
pattern of CF5s. Transition from simple to complex locomotion was
associated with changes of the discharge pattern of the majority of CF5
neurons and SINs. In contrast to CF5 neurons, other classes of efferent
neurons (CCI, CCC, CF6) were much less active during both simple and
complex locomotion. That suggests that CC interactions, both within a hemisphere (mediated by CCIs) and between hemispheres (mediated by
CCCs), as well as corticothalamic interactions via CF6 neurons are not
essential for motor coordination during either simple or complex
locomotion tasks.
Key words:
motor cortex; corticocortical neurons; corticothalamic neurons; interneurons; locomotion; rabbit
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Introduction |
Pyramidal tract neurons have been
the focus of many studies of the activity of motor cortex during motor
tasks (Porter and Lewis, 1975
; Evarts and Tanji, 1976
; Matsunami
and Hamada, 1981
; Evarts et al., 1983
; Fromm, 1983
; Armstrong and Drew,
1984a
; Schmied and Fetz, 1987
; Drew, 1993
; Baker et al., 1999
). Motor
cortical neurons that project to other centers have received much less attention, however, despite the fact that communication between motor
centers is believed to be essential for normal motor behavior. So far,
only the activity of corticoreticular neurons during locomotion (Kably
and Drew, 1998
) and the activity of corticorubral (Fromm, 1983
) and
corticostriatal neurons (Bauswein et al., 1989
; Turner and DeLong,
2000
) during arm movements has been examined. The goal of the present
study was to examine the activity of other classes of motor cortical
neurons during locomotion, including several classes of efferent
neurons and one class of interneurons. Such data are necessary for a
better understanding of communications between motor cortex and other
centers and for obtaining a better insight into the functions of
intracortical circuits during movements.
The experiments were performed on fully awake rabbits, where several
groups of neurons in sensory and motor cortical areas have been
identified previously and their response properties extensively studied
in the resting state (Swadlow, 1988
, 1989
, 1990
, 1991
, 1994
). The
activity of the following classes of neurons in the motor cortex was
investigated for the first time during a motor behavior (Fig.
1): (1) corticocortical (CC) neurons with ipsilateral projection (CCIs), (2) CC neurons with contralateral projection (CCCs), (3) descending corticofugal neurons of layer VI
(CF6s) that project to the ventrolateral thalamus, and (4) a
subpopulation of putative inhibitory interneurons (SINs). In addition,
we studied descending corticofugal neurons of layer V (CF5s), and used
this well studied population as a reference against which we compared
the activity of the above populations.

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Figure 1.
Types of neurons that were recorded in the
forelimb representation of the left motor cortex (MC):
CCIs [corticocortical neurons projecting to the ipsilateral primary
somatosensory cortex (S1)], CCCs (corticocortical
neurons projecting to the contralateral motor cortex or primary
somatosensory cortex), CF6s [corticofugal neurons of layer VI
projecting to ventrolateral thalamus (VL)], and CF5s
(corticofugal neurons of layer V). These neuron types were identified
by their antidromic responses to electrical stimulation of the
corresponding structures (Stim 1 to Stim
4). SINs were identified by their high-frequency
orthodromic responses to stimulation of ventrolateral thalamus or a
cortical site (Stim 1 to Stim 4).
Solid lines indicate the directly tested projections;
dotted lines show supposed projections.
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The animals performed two locomotor tasks: (1) locomotion on a flat
surface (a "simple" locomotion) and (2) locomotion with overstepping a series of barriers (a "complex" locomotion). During complex locomotion, visual recognition of the barriers and visuomotor coordination were necessary for successful negotiation of the barriers.
It has been demonstrated previously that complex locomotion does
require participation of the motor cortex, whereas simple locomotion
does not (Trendelenberg, 1911
; Liddell and Phillips, 1944
; Beloozerova
and Sirota, 1993
). Thus, by comparing the activities of cortical
neurons in these two locomotor tasks, one can estimate a contribution
of the motor cortex to the control of complex locomotion.
We here report dramatic differences in the activity of different
efferent subpopulations during locomotion and discuss their roles in
transmitting cortical signals to other centers as well as a potential
role of inhibitory interneurons in shaping the locomotion-related
activity of efferent neurons. Some of the results have been published
previously in abstract form (Beloozerova et al., 1998
, 1999
).
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Materials and Methods |
Recordings were obtained from the forelimb representation of the
motor cortex of five awake adult Dutch-Belted rabbits. Some of the
methods have been described previously (Swadlow, 1991
; Beloozerova and
Sirota, 1993
; Swadlow et al., 1998
) and will be reported briefly here.
All experiments were conducted with the approval of the University of
Connecticut Animal Care and Use Committee.
Experimental design. Positive reinforcement (food) was used
to adapt rabbits to the experimental situation and to engage them in
locomotion behavior (Pryor, 1975
). A box (2.5 m long and 0.5 m
wide) served as an experimental chamber. A longitudinal wall divided
the box into two corridors that rabbits passed sequentially and
repeatedly. In one of the corridors, the floor was flat; in the other,
five barriers (4.5 cm high and 2 cm thick) were placed 43 cm apart. The
passage of the subject through the beginning or the end of each
corridor was monitored using infrared photodiodes.
General surgical procedures. After rabbits were trained,
surgery was performed under pentobarbital sodium anesthesia (initial dose, 25-35 mg/kg) using aseptic procedures. The skin and fascia were
removed from much of the dorsal surface of the rabbit's skull. Bones
of the dorsal surface of the skull were fused together with stainless-steel screws and acrylic cement. An aluminum circular base
was cemented to the screws. Later, awake rabbits were rigidly held by
this base during mapping procedures and during identification of
neurons before testing their activity in locomotion tasks. A portion of
the skull over the approximate locations of the motor and the primary
somatosensory limb representations was mechanically thinned to ~0.3
mm. This allowed an easy removal of the remaining thinned bone over an
area of 100-200 µm in diameter before inserting a recording or a
stimulation electrode into the cortex in awake animals.
Identifying the region of motor cortex. Motor cortex was
identified in awake animals (after several days of a postoperative recovery period) by first localizing the forepaw representation of the
primary somatosensory cortex using multiple-unit receptive field
mapping procedures (Gould, l986; Swadlow, 1990
). During mapping,
microelectrode penetrations were made 300-1000 µm apart with a
tungsten-varnish insulated electrode [50 µm outer diameter (OD)]. Somatosensory receptive fields and effects of microstimulation were examined in layer IV of the primary somatosensory cortex and in
layer V of the motor cortex. The forelimb area of the motor cortex
(Fig. 2B, 1)
was found on the rostral-medial border of the forelimb representation
of the primary somatosensory cortex (Fig. 2B,
2a). Here, cells responded only to deep manipulations of the
limb (joints and/or muscles), and microstimulation (trains of five
50-100 µA cathodal pulses at 100 Hz) resulted in movements of the
limb.

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Figure 2.
Location of the motor limb representation in the
rabbit (a typical example). A, Schematic drawing of the
hemispheres (dorsal view) and the limb representations. The
dashed horizontal line indicates the zero
anteroposterior coordinate. The square area shown in
A is represented in B with a higher
magnification to show the relative positions of motor representation of
the forelimb (1), the primary somatosensory
representations of the forelimb (2a) and the hindlimb
(2b), as well as that of the whiskers
(3).
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Implantation of stimulating electrodes. Stimulating
electrodes were constructed of platinum-iridium wire (140 µm OD)
insulated with Teflon to within 0.4 mm of the tip. For the
identification of CCIs, two stimulating electrodes were implanted into
the ipsilateral primary somatosensory area 1 mm apart (Fig. 1,
Stim 1). For the identification of CCCs, two stimulating
electrodes were implanted into the contralateral motor cortex, also 1 mm apart, and two similarly spaced electrodes were implanted into the
contralateral primary somatosensory cortex, both into the forelimb
representations (Fig. 1, Stim 2, Stim 3). In the
ipsilateral as well as in the contralateral primary somatosensory
cortex, stimulating electrodes were implanted into the arm and forearm
but not in the digits representations. For the identification of CF5s
and CF6s, two or three stimulating electrodes were implanted in the
ventrolateral thalamus (Fig. 1, Stim 4). In all
cases, the electrodes were implanted after mapping the area by
multiple-unit recording procedures.
Single-unit recording and neurons sampled. At the beginning
of an experiment, a rabbit was positioned on a table, and the base that
was attached to the skull during surgery was fixed in a frame, so the
head of the rabbit was immobilized while the body was put in a
comfortable position. Methods ensuring the humane treatment of subjects
during immobilization of the head have been described previously
(Swadlow, 1988
, 1989
, 1990
, 1991
; Beloozerova and Sirota, 1993
).
Neuronal activity was recorded extracellularly using platinum-tungsten
quartz-insulated microelectrodes (40 µm OD) pulled to a fine tip and
mechanically sharpened using a diamond grinding wheel (Reitboeck,
1983
). These electrodes were inserted into the motor cortex through
small holes in the skull (100-200 µm in diameter) and intact dura. A
manual single-axis micromanipulator (dimensions 2 × 3 × 10 mm) rigidly fixed to the skull was used to lower the electrode. Unit
data were collected and displayed using a commercially available data
acquisition package (Datawave's Discovery and Experimenter's
Workbench). Spikes were digitized at 30 kHz and time-stamped at 0.1 msec. To aid in the identification of single neurons, a Spike Sort
program was used to discriminate and identify the waveform of spikes of
the neuron based on the extracted waveform parameters. The combinations
of these parameters ("clusters") was used to distinguish different
waveforms. After a neuron was isolated and identified, the head of the
rabbit was released from the restrainer and the rabbit was placed in
the experimental chamber. The activity of the neuron was then recorded during simple and complex locomotion.
Monitoring stepping movements. The duration of the stance
and swing phases of the forelimb, contralateral to the investigated cortical zone, was monitored during locomotion. To accomplish this, a
thin rubber sack was placed on the rabbit's forelimb, a thin metal
electrode was attached to the external surface of the sack under the
foot, and a voltage of 2-5 mV was applied to the electrode. The floor
of the experimental box was covered by a cloth moistened with 0.1%
sodium chloride to make the surface electrically conductive. A wire,
sewn into the cloth along the length of the box, was connected to a
common ground. The fall of voltage resulting from contact of the foot
with the floor was recorded. The start and finish of electrical contact
was taken as the start and finish of the stance phase of a step.
Identification of neurons. All neurons were tested for
antidromic activation using 0.2 msec rectangular pulses of graded
intensity in the range of 0.1-2 mA. The principal criterion for the
identification of antidromic activation was the test for collision of
spikes (Bishop et al., 1962
; Fuller and Schlag, 1976
). Silent neurons that could not be tested for collision were considered to be
antidromically activated if they satisfied two ancillary criteria: (1)
a refractory period of <2.0 msec and (2) latency variability to a test
stimulus of either <0.1 msec or <1% of the antidromic latency,
whichever is greater when the test stimulus followed a suprathreshold
conditioning stimulus at an interval of 10 msec (Swadlow et al., 1978
).
SINs were defined according to previously developed criteria (Swadlow, 1988
, 1989
, 1990
, 1991
, 1994
). These neurons did not respond
antidromically but did respond synaptically to electrical stimulation
of the ipsilateral ventrolateral thalamus, primary somatosensory
cortex, or the other hemisphere with a burst of three or more spikes
occurring at peak frequency of >600 Hz. The nonidentified neurons
(NIs) in this study were the cells that (1) did not respond to
electrical stimulation of the contralateral motor cortex and therefore
most likely did not project to it (the size of the motor limb
representation in the rabbit cortex is so small that we likely excited
most axons in it), (2) did not respond to electrical stimulation of the
ventrolateral thalamus and therefore most likely did not project to it
for the same reason, and (3) did not respond synaptically with a
SIN-like burst to stimulation of either hemisphere or ventrolateral
thalamus. Thus, NIs probably included other interneurons and neurons
that projected to other cortical and subcortical targets but for the most part not to the ventrolateral thalamus or contralateral motor cortex.
Differentiation of CF5 and CF6 neurons. In both sensory and
motor cortex, layer VI is characterized by the presence of efferent neurons (CF6s) with slowly conducting axons that exhibit a marked "supernormal" period of reduced antidromic latency at 8-12 msec intervals after a previous action potential (Swadlow, 1989
, 1990
, 1991
,
1994
). In contrast, layer V is characterized by descending corticofugal
neurons (CF5s) with rapidly conducting axons that do not exhibit
supernormality. Thus, when the microelectrode reached a certain depth,
the characteristics of those neurons activated antidromically via
stimulation of ventrolateral thalamus changed. The most superficial CF6
neuron in each penetration was identified by (1) an antidromic latency
of >3 msec and (2) a supernormal antidromic decrease of >4% to a
thalamic stimulus that followed a previous impulse (spontaneous or
electrically elicited) at an interval of 8-12 msec. All descending
corticofugal neurons located at this depth or deeper were classified as
CF6 neurons. The axons of CF6 neurons are of fine diameter and thus
have high thresholds to electrical stimulation (Rank, 1975
; Nowak and
Bullier, 1996
; for review, see Swadlow, 1998
). Therefore, it is likely
that we excited axons passing or terminating very near the stimulation site in ventrolateral thalamus. CF6 neurons may be considered to be
corticothalamic, because anatomical studies show that descending efferent axons of cortical layer VI terminate exclusively in the thalamus (Jones, 1984
). Descending corticofugal neurons located at
least 50 µm superficial to the first encountered CF6 neuron were
classified as CF5 neurons. For CF5 identification, we used currents in
the range of 100-500 µA only. Such stimulation did not evoke any
visible muscle contraction; thus it was not substantially exciting
axons in the internal capsule that was
2 mm away from the site of
stimulation. Nevertheless, CF5 neurons of this study probably represent
a heterogeneous population of corticofugal neurons, because, in
addition to activating axons that terminate within the thalamus, we
could be activating (1) axons in passage through or near to the
thalamus or (2) collaterals of axons terminating in the thalamus but
projecting a main axon more distally. Neurons that were found <50 µm
above the first CF6 neuron were not classified as being in an uncertain
cortical layer.
Processing of locomotion-related neuronal activity. The
onset of the swing phase was taken as the beginning of the step cycle. The duration of each step cycle was divided into 10 equal bins. The
discharge frequency in a bin was derived according to the method of Udo
et al. (1982)
. The frequency histograms were smoothed using moving
filter with a span of three. The following parameters were calculated
for each neuron: (1) The mean frequency of discharge. (2) The Rayleigh
test for directionality was used to determine whether the activity of a
neuron was modulated. If it was, the coefficient of modulation
(M) was calculated as follows: M = (1
Fmin/Fmax) × 100%, where Fmin and
Fmax are the minimal and the maximal
frequencies of discharge in the histogram. (3) The preferred step phase
of the discharge of the neuron was assessed using circular statistics.
The occurrence of each spike was presented as a vector of a unit
length. The angle (the phase) of it was calculated by multiplying the
relative position of the spike in the step cycle (in portions of the
cycle) by 2
. The phase of the mean vector (the preferred phase) was
calculated. (4) The change of the mean frequency, the coefficient of
frequency modulation, and the preferred phase on transition from simple
to complex locomotion were also calculated.
Gait analysis. In experiments without unit recording, an
analysis of the kinematics of locomotion was performed using a
video-recording technique. The movements of rabbits were videotaped
from the side by a two-dimensional Peak Performance System at 60 frames/sec. Light-reflecting paper stickers were attached to the skin
projections of the joints. The video camera was positioned 3 m
from the side of the chamber.
Statistical procedures. Parametric tests were used when
possible for comparisons between groups. For all mean values, the SEM
is given. The discharge frequency and modulation of neurons during
simple and complex locomotion was compared using the paired-samples t test. The phase relationship between a locomotion task and
the activity of neurons was determined and compared across the tasks using circular statistics (Batschelet, 1981
; Fisher, 1993
). When data
were categorical, the nonparametric Mann-Whitney U test was used.
Histological procedures. At the termination of the
experiment, rabbits were deeply anesthetized with pentobarbital sodium and perfused with isotonic saline followed by a 10% formalin solution. Frozen brain sections of 50 µm thickness were cut in the regions of
recording and stimulating electrodes so that their locations could be
verified by observation of electrode track gliosis. The tissue was
stained for Nissl substance with cresyl violet.
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Results |
Characteristics of simple and complex locomotion
The gait that rabbits used both on the flat surface (simple
locomotion) and during overstepping a series of barriers (complex locomotion) was a slow gallop (velocity of 1.2-1.4 m/sec; step duration of 350 ± 20 msec; mean ± SEM). Figure
3A and B illustrate the step phases during the two locomotion tasks. Each step included the
following phases: (1) two hindlimbs support, (2) three limbs support,
(3) two forelimb support, and (4) one forelimb support. To clear the
barriers, rabbits lifted the limbs much higher compared with simple
locomotion. This was achieved by an additional flexion in all of the
joints during the swing phase (Fig. 3C,D). However, during
both locomotion tasks, the durations of the swing and the stance phases
were similar.

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Figure 3.
Characteristics of simple and complex locomotion.
A, B, Body configuration in four sequential phases of
the locomotor cycle (1-4) are shown for simple
(A) and complex (B)
locomotion. C, D, Sequential positions of the
"leading" forelimb presented as stick figures for one
representative step for simple (C) and complex
(D) locomotion. E, F, Footprints
in 20 sequential passages during simple (E) and
complex (F) locomotion. Three steps in each
passage are shown. Black circles indicate footprints of
the leading forelimb, gray circles indicate footprints
of the trailing forelimb, and bars indicate footprints
of the hindlimbs. The positions of barriers 1-3 in
F are shown by vertical bars. The
direction of progression in C-F was from
left to right.
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The variability of the step lengths during simple locomotion was
considerable. Figure 3E shows 20 simple locomotion passages that were aligned on the position of the toes in the first step. Because of the variability of the step lengths, the positions of the
footprints generated by the two successive steps were progressively more variable. Figure 3F presents 20 complex locomotion
passages that were aligned on the position of the barriers (vertical
bars) that restricted the permissible positions for the paws on the floor. In these tracks, the footprints before barriers 2 and 3 were
made at very similar positions, despite the starting positions being
considerably different. Thus, complex locomotion was characterized by a
more precise positioning of feet on the surface compared with simple locomotion.
Activity of CF5 neurons
Figure 4A presents
an example of activity of a CF5 neuron at rest, during simple
locomotion, and during complex locomotion. At rest the neuron
discharged with a frequency of ~6 Hz. During simple locomotion, the
discharge of the neuron was modulated, discharging more during the
swing phase than during the stance phase. During complex locomotion,
the discharge of the neuron during the swing phase was even greater,
but the activity during the stance phase was still low. The pattern of
activity of the neuron was rather consistent, as illustrated in the
rasters that show discharges of the neuron in 50 steps during simple
(Fig. 4B) and complex (Fig. 4C)
locomotion. Figure 4D and E presents discharge frequency of the neuron as a function of the step phase. During simple locomotion (Fig. 4D), the neuron had a
sharper peak in the swing phase, whereas during complex locomotion
(Fig. 4E), the peak was wider.

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Figure 4.
Activity of CF5 neurons during locomotion.
A, A representative record of a CF5 neuron discharge at
rest and during simple and complex locomotion. The bottom
trace shows the swing (Sw) and stance
(St) phases of the step cycle of the forelimb
contralateral to the recording site in the cortex. B, D,
Activity of the same CF5 neuron during simple locomotion is presented
as a raster of 50 step cycles (B) and as a
histogram (D). In the raster, the duration of
step cycles is normalized to 100%, and the raster is rank-ordered
according to the duration of the swing phase. The beginning of the
stance phase in each step is indicated by an open
triangle. In the histogram, the dashed line
shows the level of activity at rest. C, E, Activity of
the same neuron during complex locomotion presented as a raster
(C) and as a histogram (E).
F, G, Distribution of preferred phases (positions of
mean vectors) of activity of all CF5 neurons in the normalized step
cycle during simple (F) and complex
(G) locomotion. H, I, Proportion
of neurons in which the mean discharge frequency increased
(black), decreased (gray), and did
not change (white) on transition from rest to locomotion
(H) and from simple to complex locomotion
(I). J, Proportion of
neurons in which the coefficient of frequency modulation increased,
decreased, and did not change on transition from simple to complex
locomotion; color codes are same as in H and
I.
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All 24 CF5 neurons studied were active at rest [5.7 ± 1.0 impulses (imp)/sec] and during simple locomotion (7.3 ± 1.3 imp/sec). During simple locomotion, the discharge of 88% of these
neurons was modulated in the step cycle. The coefficient of frequency modulation (M) was 71 ± 4%. The activity of
different CF5s had different preferred phases in the step cycle;
however, the preferred phase of 45% of CF5s was in the first half of
the swing (Fig. 4F).
During complex locomotion, all CF5 neurons were also active (8.8 ± 1.3 imp/sec). The discharge of 96% of these neurons was modulated
in relation to the step cycle. The M was 79 ± 2%. The mean activity and modulation values as well as the percentage of
neurons involved in the locomotion task were not significantly different during complex locomotion compared with simple locomotion. As
during simple locomotion, the activity of different CF5s had different
preferred step phases during complex locomotion. However, in contrast
to simple locomotion, distribution of the preferred phases of different
neurons was rather equal across the step cycle (Fig. 4G).
This change in the preferred phase of the CF5 population activity was
attributable to shifts of preferred phases in 25% of individual
neurons by 1/10 and to shifts in 17% of them by one-fifth to one-half
of the duration of the cycle, while the preferred phases of 58% of the
neurons stayed unchanged on transition from simple to complex locomotion.
Although the mean activity and modulation values for the CF5 population
were close during simple and complex locomotion, individual CF5 neurons
expressed significant changes in both of these parameters on transition
from simple to complex locomotion, as demonstrated by the
paired-samples t test (p < 0.03 or
better). This transition was associated with an increase in the mean
frequency in 46% of CF5s and with a decrease in 8% of them (Fig.
4I). The M increased in 58% and decreased
in 17% of the neurons (Fig. 4J). There was also a
change in the mean frequency of most CF5s on transition from rest to
simple locomotion (p < 0.005; paired
t test): it increased in one-half of the neurons and
decreased in 33% of them (Fig. 4H).
Activity of CF6 neurons
The CF6 neurons were very distinct from CF5 neurons. At
rest, 66% (16 of 24) of these neurons were virtually silent, emitting <1 imp/min during a 10 min test period. The mean rate for all CF6s was
0.4 ± 0.1 imp/sec, and that for the active cells only was
1.1 ± 0.3 imp/sec, which was significantly lower than that of CF5
neurons, all of which were active at rest (p < 0.001; U test) (see Fig. 8A).
During simple locomotion, only 25% (6 of 24) of CF6s showed some level
of activity. However the discharge rates of these CF6 neurons were
significantly lower than those of CF5s that were tested under the same
conditions (2.3 ± 1.1 imp/sec vs 7.3 ± 1.3 imp/sec;
p < 0.02; U test) (see Fig.
8B). Five CF6 neurons that were active at rest were
silent for the period of locomotion (Fig. 5A). Of six cells active
during locomotion, the step-related modulation was pronounced in the
activity of four of these cells (17% of the total population) (see
Fig. 8D). The M was in the range of 65-100%. The activity of different CF6 neurons had different
preferred step phases.

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Figure 5.
Examples of activity of CF6 neurons during
locomotion. A, Inhibition of the discharge of a neuron
during locomotion. B-E, A raster and a histogram for
simple (B, D) and complex (C, E)
locomotion for a typical CF6 neuron are shown. Designations are as in
Figure 4.
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There was little change in the activity of CF6 neurons on transition
from simple to complex locomotion. The six neurons that were active
during simple locomotion were also active during complex locomotion,
with discharge rates lower than those in the corresponding CF5 group
(4.4 ± 2.4 imp/sec vs 8.8 ± 1.3 imp/sec for the CF5s; p < 0.03; U test) (see Fig. 8C).
Of the four CF6 neurons whose activity was modulated during simple
locomotion, only one showed a change in this modulation during complex
locomotion. Figure 5B-E illustrates the activity of that
one neuron in 50 steps during each simple and complex locomotion. The
discharge frequency of the neuron during simple locomotion was
extremely low, but the activity did show a step-related modulation (six
of seven action potentials occurred during stance phase). The discharge
frequency of the neuron during complex locomotion was still low, and
the step-related modulation was weaker.
The CF6 neurons that were active during locomotion did not have any
other properties that would distinguish them from the silent CF6s.
These cells had a wide variety of conduction velocities and supernormal
conductivity. They had no obvious receptive fields and did not respond
synaptically to electrical stimulation of any of the sites tested.
Activity of CCC and CCI neurons
The two types of CC neurons, CCIs and CCCs, behaved similarly and
will be considered together. CC neurons, like the CF6 population described above, were very different from the CF5 group, in that many
CC neurons were weakly if at all active at rest and during locomotion.
At rest, 49% (19 of 39) of CC neurons were virtually silent, emitting
<1 imp/min during a 10 min test period. The mean rate for all CCs was
0.6 ± 0.1 imp/sec, and that for the active cells only was
1.2 ± 0.2 imp/sec, which was significantly lower that that of
CF5s (p < 0.001; U test) (see Fig.
8A). During simple locomotion, 56% of CC neurons
were active. However the rates of activity of these neurons were still
very low when compared with CF5 neurons under the same testing
conditions (2.4 ± 0.9 imp/sec vs 7.3 ± 1.3 imp/sec;
p < 0.001; U test) (see Fig.
8B). The activity of 28% of CC neurons was modulated
in relation to locomotion cycle (see Fig. 8D), with
the M in the range of 85-100%. The preferred step phases
of activity of different CC neurons were distributed over step cycle.
During complex locomotion, 54% of the CC neurons were active. Those
were the same neurons that were also active during simple locomotion.
During complex locomotion, the discharge rates of CCs were still lower
than those of CF5s (4.0 ± 1.4 imp/sec vs 8.8 ± 1.3 imp/sec;
p < 0.002; U test) (see Fig.
8B). The activity was modulated in 33% of the CCs
(see Fig. 8E), with the M in the range of
67-100%. These values were derived from the same neurons that were
modulated during simple locomotion plus two neurons that were only
modulated during complex locomotion. They were similar to the values
obtained during simple locomotion. The activity of different CCs had
different preferred step phases. Figure
6A-D illustrates the
activity of one of the active and modulated CC neurons in 50 steps
during simple and complex locomotion. The low discharge of this neuron
peaked at the end of swing during both simple and complex locomotion,
but the peak was wider during complex locomotion.

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Figure 6.
Activity of CC neurons during locomotion.
A-D, Examples of activity of one of the most active and
modulated CC neurons during locomotion. A raster and a histogram are
shown for simple (A, C) and complex (B,
D) locomotion. E, F, Proportion of neurons in
which the discharge rate increased (black), decreased
(gray), and did not change (white)
on transition from rest to locomotion (E) and
from simple to complex locomotion (F).
G, Proportion of neurons in which the coefficient of
frequency modulation increased, decreased, and did not change on
transition from simple to complex locomotion. Designations are as in
Figure 4.
|
|
Although the mean activity values for the CC population were close
during simple and complex locomotion, the frequency of many individual
CC neurons changed on transition from simple to complex locomotion, as
demonstrated by the paired-samples t test (p < 0.02 or better). This transition was
associated with an increase in the mean frequency in 38% of CCs and
with a decrease in 6% of them (Fig. 6F). However,
the M increased in 11% and decreased in 11% of the neurons
only (Fig. 6G). The mean frequency of 56% of the neurons
increased (p < 0.001; paired t
test), and that of 38% of the neurons decreased
(p < 0.02; paired t test) also on
transition from rest to simple locomotion (Fig.
6E).
The CC neurons that were active during locomotion had significantly
higher conduction velocities than did the silent CCs (1.2 m/sec
compared with 0.6 m/sec; p < 0.015; U
test), and among them there were more cells with somatosensory
receptive fields. However, the active CCs did not have any distinct
laminar distribution.
Activity of SINs
Figure 7 presents an example of
activity of a SIN at rest and during locomotion. At rest the neuron
discharged with a frequency of ~14 Hz. During simple locomotion the
frequency of the discharge was considerably higher. In addition, the
discharge of the neuron was modulated in locomotion cycle with a peak
in the late swing-early stance phase. The pattern of activity of the
neuron was rather consistent, as illustrated in the raster that shows
discharge of the neuron in 50 steps during simple (Fig. 7B)
and complex (Fig. 7C) locomotion. During complex locomotion,
the discharge frequency in the late stance-early swing was much lower
compared with that during simple locomotion (was below the rest level), while it was still high in the late swing-early stance phase (Fig. 7D,E).

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Figure 7.
Activity of SINs during locomotion.
A, A representative record of a SIN discharge at rest
and during simple locomotion. B, D, Activity of the same
SIN during simple locomotion is presented as a raster of 50 normalized
step cycles (B) and as a histogram
(D). C, E, Activity of the same
neuron during complex locomotion is presented as a raster
(C) and as a histogram (E).
F, G, Distribution of preferred phases (positions of
mean vectors) of activity of all SINs in the normalized step cycle
during simple (F), and complex
(G) locomotion. H, I, Proportion
of neurons in which the discharge frequency increased
(black), decreased (gray), and did
not change (white) on transition from rest to locomotion
(H) and from simple to complex locomotion
(I). J, Proportion of
neurons in which the coefficient of frequency modulation increased,
decreased, and did not change on transition from simple to complex
locomotion. Designations are as in Figure 4.
|
|
All 46 SINs studied were active at rest (16.8 ± 1.7 imp/sec)
(Fig. 8A). During
simple locomotion, all SINs were also active; however, the mean
frequency was twice as high compared to rest (33.9 ± 3.2 imp/sec)
(Fig. 8B). The discharge of 65% of SINs was modulated in the step cycle (Fig. 8D). The
M of SINs was 65 ± 2% (Fig. 8F).
Different SINs had different preferred step phases; however, the
preferred phase of 50% of them was in the first half of the stance
(Fig. 7F) [i.e., in the anti-phase with the
preferred phase of CF5 neurons (Fig. 4F)].

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Figure 8.
Characteristics of different neuronal groups.
A-C, Mean discharge frequency of neurons of different
groups at rest (A), during simple locomotion
(B), and during complex locomotion
(C). For the CF6 and CC populations, the mean
rates are presented across the active cells only. D, E,
Percentage of neurons in which the activity was modulated in relation
to the step cycle during simple (D) and complex
(E) locomotion. F, G, Mean
coefficient of modulation of neurons during simple
(F) and complex (G)
locomotion. Note that the differences in all of the parameters between
different neuronal subpopulations were similar during simple and
complex locomotion.
|
|
During complex locomotion, all SINs were active as well (34.1 ± 3.2 imp/sec) (Fig. 8C). The discharge of 77% of SINs was
modulated in relation to step cycle (Fig. 8E). Those
were the same neurons the activity of which was modulated during simple
locomotion plus the neurons the activity of which was only modulated
during complex locomotion. The M was 64 ± 3% (Fig.
8G). The mean activity and modulation values as well as the
percentage of neurons involved in locomotion task were not
significantly different during complex locomotion compared with simple
locomotion. As during simple locomotion, different SINs had different
preferred step phases. In contrast to simple locomotion however, the
distribution of the preferred phases of the neurons was rather equal
across the step cycle (Fig. 7G). This change in the
preferred phase of SIN population activity was attributable to shifts
of preferred phases in 25% of the neurons by 1/10 and in 19% of them
by one-fifth to one-half of the duration of the cycle. The preferred
phases of 55% of the neurons stayed unchanged on transition from
simple to complex locomotion.
Although the mean activity and modulation values for the SIN population
were close during simple and complex locomotion, individual neurons did
demonstrate significant changes in both of these parameters on
transition from simple to complex locomotion (by paired-samples t test; p < 0.04 or better). This
transition was associated with an increase in the mean frequency in
22% of SINs and with a decrease in 17% of them (Fig.
7I). The M increased in 35% and decreased in 20% of the neurons (Fig. 7J). There was also a
change in the mean discharge frequency on transition from rest to
simple locomotion (p < 0.001; paired
t test) in the overwhelming majority of SINs: it increased
in 83% and decreased in 9% of the neurons (Fig.
7H).
During both simple and complex locomotion, the M values of
SINs that responded with latencies of <2.5 msec to stimulation of the
ventrolateral thalamus were higher than those of the cells that
responded with longer latencies (p < 0.04;
U test). There was no correlation between the strength of
locomotion-related modulation and the latency with which SINs responded
to stimulation of any cortical sites. Although not statistically
significant, there was a trend for the activity of SINs found in
cortical layers II and III to be more often linked to stepping
movements than was the activity of SINs found in layers V and VI.
Activity of NI neurons
All 62 NI neurons studied were active at rest (6.3 ± 0.7 imp/sec). During simple locomotion, all NI neurons were also active (8.5 ± 1.0 imp/sec) (Fig. 8A,B). The discharge
of 80% of the neurons was modulated in the locomotion rhythm (Fig.
8D). The mean M was 65 ± 3% (Fig.
8F). Different NI neurons had different preferred step phases, with slightly more cells having them in the swing phase.
During complex locomotion, all NI neurons were active as well (8.8 ± 1.2 imp/sec) (Fig. 8C). The discharge of 90% of the
neurons was modulated (Fig. 8E). The M was
67 ± 2% (Fig. 8G). The mean activity and modulation
values as well as the percentage of neurons involved in locomotion task
and their preferred phase distribution were not significantly different
during complex versus simple locomotion. However, individual NI neurons
demonstrated significant changes in their discharge frequency and
modulation on transition from simple to complex locomotion, as
demonstrated by the paired-samples t test
(p < 0.02 or better). The mean frequency
increased in 33% of NIs and decreased in 34% of them. The
M increased in 48% and decreased in 21% of the neurons.
 |
Discussion |
Activity of different types of efferent cortical neurons
Locomotion is one of the most complex motor behaviors. The
entire skeletal musculature is involved in a highly coordinated activity. All motor centers (spinal cord, brain stem, cerebellum, motor
cortex) participate in the generation of the locomotor pattern (Orlovsky at al., 1999
). In addition, locomotion in natural
environments, over uneven surfaces, requires visuomotor coordination
for successful avoidance of obstacles and precise feet positioning
(Drew, 1991
; Patla et al., 1991
; Hollands and Marple-Horvat, 1996
). It
has been shown that locomotion on uneven surfaces is not possible without the motor cortex (Trendelenberg, 1911
; Liddell and Phillips, 1944
; Beloozerova and Sirota, 1993
), and recordings of motor cortical neurons during natural locomotion revealed significant differences in
step-related activity when negotiating a complex versus a simple terrain (Beloozerova and Sirota, 1993
; Drew, 1993
; Widajewicz et al.,
1994
; Kably and Drew, 1998
). These activity changes, which were
associated with gait adjustments during locomotion on uneven surfaces,
were interpreted as signals that were influencing other motor centers
and responsible for the gait modifications.
Communication between motor centers is believed to be essential for
normal motor behavior, especially for a complex motor behavior such as
locomotion. However, only recently has the activity of the
"communication lines" leading from the motor cortex, other than the
corticospinal tract, been assessed during motor behaviors. In the
walking cat, the activity of corticoreticular neurons in steps over an
obstacle was considerably different from that during ordinary steps
(Kably and Drew, 1998
). In the monkey, the activity of corticorubral
and corticostriatal neurons was correlated with forelimb movements
(From, 1983
; Bauswein et al., 1989
; Turner and DeLong, 2000
). However,
both in the cat and in the monkey, the pattern of activity of the
efferent neurons projecting to these subcortical targets was distinct
from that of corticospinal neurons.
Based on the available data, we expected all efferent populations of
the motor cortex to be active during locomotion and to have pronounced
step-related discharges. This hypothesis was not confirmed, however. We
found that the activity of several classes of motor cortical efferent
neurons was only weakly related to the locomotion rhythm, (i.e., CCIs,
CCCs, and CF6s). Most of these neurons were either silent or exhibited
a weak step-related activity. The only cortical output that had a
strong step-related activity was the CF5s.
Studies of motor and sensory cortices usually report very few cells
that cannot be driven by movements of the animal or by peripheral
stimulation. This is probably because the identification of a neuron is
usually achieved by detecting its spontaneous activity or peripherally
driven response. However, if a special effort is given to elicit a
discharge of a neuron by an application of a neurotransmitter (Dykes
and Lamour, 1988
; Metherate et al., 1988
) or by antidromic activation
(Swadlow, 1988
, 1989
, 1990
, 1991
, 1994
), a large number of silent and
weakly active neurons may be identified. In many studies, lack of
significant spontaneous or elicited activity has been attributed to
anesthesia, pathology, or to a restraint and low activity of the
animal. The present study was performed in awake and active animals.
Moreover, the activity of the neurons was tested not only during simple
locomotion on a flat surface, a predominantly spinally controlled
behavior, but also during overstepping a series of barriers, a
locomotion task that requires visuomotor coordination and cannot be
accomplished without the motor cortex. However, the majority of CC and
CF6 neurons still exhibited a low activity if any at all during both simple and complex locomotion. The activity and modulation of most
neurons in these populations did not change on transition from simple
to complex locomotion. In contrast, most CF5s, SINs, and NI neurons did
change their activity and modulation during this transition. The
activity of some CF6s was even inhibited for the period of locomotion.
These findings are not specific for the rabbit. Similar results (i.e.,
the extremely low activity of CC and CF6 neurons during both simple and
complex locomotion) have been obtained recently in the cat (I. N. Beloozerova and M. G. Sirota, unpublished observations). A low
activity and a weak relationship of this activity to a reaching task in
monkeys was reported recently for CF6 neurons that project from motor cortex to the pallidum-receiving portion of the motor thalamus (Ruffo
et al., 2001
).
The inactivity of many CCCs during locomotion suggests that
coordination between the two symmetrical limbs during simple as well as
the complex locomotion does not require interaction of the two
hemispheres and is achieved at the brainstem-spinal level.
To explain a low activity of CCI neurons projecting to the ipsilateral
somatosensory cortex, one should take into account that the main
afferent input to the motor cortex during locomotion is from the
ventrolateral thalamus (Beloozerova and Sirota, 1988
, 1998
).
Somatosensory signals do not play a significant role in modulation of
the activity of the motor cortex during locomotion (Armstrong and Drew,
1984b
). Therefore, it is reasonable that the somatosensory cortex also
does not receive a potent feedback control from the motor cortex during locomotion.
The absence of activity in CF6 neurons during locomotion is most
surprising. These neurons are usually considered to be an essential
part of the thalamocortical loop (Sherman and Guillery, 2001
). Our
finding suggests that, at least during locomotion, functioning of this
loop is primarily based on the feedback signals that are transmitted to
the thalamus by CF5 neurons.
Thus, on the base of our observations as well as data that is available
in literature (From, 1983
; Bauswein et al., 1989
; Kably and Drew, 1998
;
Turner and DeLong, 2000
; Ruffo et al., 2001
), one can draw two
conclusions: (1) The signals that are transmitted from the motor cortex
to its diverse targets via different communication lines are
substantially different. (2) The efferent neurons that are located in
layer V of the motor cortex are most intensively involved in control of movements.
Formation of corticofugal signals
The motor cortex receives input signals related to locomotion
primarily from the ventrolateral thalamus, and in the absence of this
input, the locomotion-related modulation of cortical activity nearly
vanishes (Beloozerova and Sirota, 1988
, 1998
). Projection neurons from
ventrolateral thalamus synapse both on CF5 neurons and on inhibitory
interneurons (Strick and Sterling, 1974
), and inhibitory interneurons
in turn synapse on CF5s (Strick and Sterling, 1974
; White, 1989
). In
primary somatosensory cortex however, there is a dramatic
difference in the efficacy of the ventrolateral projection onto SINs
and onto CF5s: it is extremely potent in driving the SINs but not the
CF5 neurons (Swadlow, 1995
, 2000
). In the present study performed in
the motor cortex, we also did not see any potent synaptic responses to
electrical stimulation of ventrolateral thalamus in CF5s found next to
SINs, which were vigorously responding to such stimulation
(Beloozerova, Sirota, and H. A. Swadlow, unpublished
observations). During locomotion, the activity of ventrolateral
thalamic projection neurons is modulated by the rhythm of stepping
movements (Beloozerova and Sirota, 2002
). We hypothesize that the
activity of SINs increases at the onset of locomotion much more than
that of CF5s, because the efficacy of input from the ventrolateral
thalamus onto these cells is greater than that onto CF5s. During
locomotion, SINs exhibited a clear-cut step-related modulation of their
discharge. That modulation was stronger in SINs that received the fast
input from ventrolateral thalamus than in SINs receiving the slow
input. During simple locomotion, the peak of activity was pronounced in
both SIN and CF5 populations, with the peaks being located in the
opposite phases of the step cycle (Figs. 4F,
7F). In contrast, during complex locomotion, the
distribution of activity was nearly flat in both populations (Figs.
4G, 7G). These findings suggest that the periods of lower activity of CF5s are caused, at least partly, by inhibition performed by SINs. To clarify a contribution of the excitatory input
from the ventrolateral thalamus, recording of the activity of
thalamocortical neurons is necessary. This study is now in progress.
Inhibitory interneurons are thought to be involved in regulating both
spatial and temporal response properties of sensory cortical neurons
(Sillito, 1975
; Hicks and Dykes, 1983
; Dykes et al., 1984
). In the
prefrontal cortex of monkeys, it has been shown that putative
interneurons and pyramidal tract neurons are active in anti-phase
during the response phase of a working memory task (Wilson et al.,
1994
; Rao et al., 1999
, 2000
). Our observations, along with the results
of inactivation studies (Matsumura et al., 1992
; Li et al., 1993
),
suggest that cortical inhibitory interneurons play a role not only in
shaping the response properties but also in shaping the action-related
properties of efferent neurons.
Two locomotion tasks in this study, the simple and the complex, were
associated with pronounced differences in the activity of individual
CF5 and SIN neurons. Many CF5s and SINs increased both their mean
frequency and the coefficient of modulation, but in some of these
neurons these values decreased or did not change (Figs.
4I,J, 7I,J). Because of the
opposite changes in the activity of individual neurons, a transition
from simple to complex locomotion caused only minor changes in the mean
population characteristics (Fig. 8). A similar result was obtained in
cats when comparing activities of cortical neurons during simple and
complex locomotion (Beloozerova and Sirota, 1993
). One can therefore
suggest that the differences in the simple versus the complex locomotor
pattern (i.e., the additional lifting of the limbs and the high
precision of the feet placing during complex locomotion) (Fig. 3) are
caused not by a massive change in the activity of the entire population of cortical neurons but rather by significant modifications in the
activity of individual neurons. It is important to stress that during
the transition from simple to complex locomotion, the preferred step
phase changed by >1/10th of the step cycle in <20% of the neurons
studied. As we have argued previously (Beloozerova and Sirota, 1993
),
stability of the phases of activity of individual neurons in the step
cycle is an important feature of the cortical activity during
locomotion. This stability guarantees that any influences from
cortical neurons onto their targets will occur in the phases that are
preset for each neuron and therefore will not interfere with the basic
locomotion rhythm.
 |
FOOTNOTES |
Received May 14, 2002; revised Nov. 19, 2002; accepted Nov. 20, 2002.
This work was supported by National Institutes of Health Grants F32
NS-10314 and R01 NS-39340 (I.N.B.) and MH-64024 (H.A.S.).
Correspondence should be addressed to Dr. Irina Beloozerova,
Neurobiology, Barrow Neurological Institute, St. Joseph's Hospital and
Medical Center, 350 West Thomas Road, Phoenix, AZ 85013. E-mail: ibelooz{at}chw.edu.
 |
References |
-
Armstrong DM,
Drew T
(1984a)
Discharge of pyramidal tract and other motor cortical neurons during locomotion in the cat.
J Physiol (Lond)
346:471-496[Abstract/Free Full Text].
-
Armstrong DM,
Drew T
(1984b)
Locomotor-related neuronal discharges in cat motor cortex compared with peripheral receptive fields and evoked movements.
J Physiol (Lond)
346:497-517[Abstract/Free Full Text].
-
Baker SN,
Kilner JM,
Pinches EM,
Lemon RN
(1999)
The role of synchrony and oscillations in the motor output.
Exp Brain Res
128:109-117[ISI][Medline].
-
Batschelet E
(1981)
In: Circular statistic in biology. New York: Academic.
-
Bauswein E,
Fromm C,
Preuss A
(1989)
Corticostriatal cells in comparison with pyramidal tract neurons: contrasting properties in the behaving monkey.
Brain Res
493:198-203[ISI][Medline].
-
Beloozerova IN,
Sirota MG
(1988)
Role of motor cortex in control of locomotion.
In: Stance and motion. Facts and concepts (Gurfinkel VS,
Ioffe ME,
Massion J,
Roll JP,
eds), pp 163-176. New York: Plenum.
-
Beloozerova IN,
Sirota MG
(1993)
The role of the motor cortex in the control of accuracy of locomotor movements in the cat.
J Physiol (Lond)
461:1-25[Abstract/Free Full Text].
-
Beloozerova IN,
Sirota MG
(1998)
Cortically controlled gait modifications in the cat.
Ann NY Acad Sci
860:550-554[Free Full Text].
-
Beloozerova IN,
Sirota MG
(2002)
Activity of ventrolateral thalamus (VL) during locomotion.
Soc Neurosci Abstr
28:62.13.
-
Beloozerova IN,
Sirota MG,
Swadlow HA
(1998)
Putative inhibitory interneurons in the motor cortex: activity during locomotion.
Soc Neurosci Abstr
24:158.18.
-
Beloozerova IN,
Sirota MG,
Swadlow HA
(1999)
Efferent neurons in the motor cortex: activity and silence during locomotion.
Soc Neurosci Abstr
25:665.20.
-
Bishop PO,
Burke W,
Davis R
(1962)
The identification of single units in central visual pathways.
J Physiol (Lond)
162:409-431[Free Full Text].
-
Drew T
(1991)
Visuomotor coordination in locomotion.
Curr Opin Neurobiol
1:652-657[Medline].
-
Drew T
(1993)
Motor cortical activity during voluntary gait modifications in the cat. I. Cells related to the forelimbs.
J Neurophysiol
70:179-199[Abstract/Free Full Text].
-
Dykes RW,
Lamour Y
(1988)
Neurons without demonstrable receptive fields outnumber neurons having receptive fields in samples from the somatosensory cortex of anesthetized or paralyzed cats and rats.
Brain Res
440:133-143[ISI][Medline].
-
Dykes RW,
Landry P,
Metherate R,
Hicks TP
(1984)
Functional role of GABA in cat primary somatosensory cortex: shaping receptive fields of cortical neurons.
J Neurophysiol
52:1066-1093[Abstract/Free Full Text].
-
Evarts EV,
Tanji J
(1976)
Reflex and intended responses in motor cortex pyramidal tract neurons of monkey.
J Neurophysiol
39:1069-1080[Abstract/Free Full Text].
-
Evarts EV,
Fromm C,
Kroller J,
Jennings A
(1983)
Motor cortex control of finely graded forces.
J Neurophysiol
49:1199-1215[Free Full Text].
-
Fisher NI
(1993)
In: Statistical analysis of circular data. Cambridge, UK: Cambridge UP.
-
Fromm C
(1983)
Contrasting properties of pyramidal tract neurons located in the precentral and postcentral areas and of corticorubral neurons in the behaving monkey.
Adv Neurol
39:329-345[Medline].
-
Fuller JH,
Schlag J
(1976)
Determination of antidromic excitation by the collision test: problems of interpretation.
Brain Res
122:283-298.
-
Gould HJ
(1986)
Body surface maps in the somatosensory cortex of rabbit.
J Comp Neurol
243:207-233[ISI][Medline].
-
Hicks TP,
Dykes RW
(1983)
Receptive field size for certain neurons in primary somatosensory cortex is determined by GABA-mediated intracortical inhibition.
Brain Res
274:160-164[ISI][Medline].
-
Hollands MA,
Marple-Horvat DE
(1996)
Visually guided stepping under conditions of step cycle-related denial of visual information.
Exp Brain Res
109:343-356[ISI][Medline].
-
Jones EG
(1984)
Laminar distribution of cortical efferent cells.
In: Cerebral cortex. Cellular components of the cerebral cortex, Vol 1 (Peters A,
Jones EG,
eds), pp 521-546. New York: Plenum.
-
Kably B,
Drew T
(1998)
Corticoreticular pathways in the cat. II. Discharge activity of neurons in area 4 during voluntary gait modifications.
J Neurophysiol
80:406-424[Abstract/Free Full Text].
-
Li BM,
Matsumura M,
Kubota K
(1993)
GABAB modulation of neuronal activity related to visually guided movement in the monkey premotor cortex.
Neurosci Res
18:83-87[Medline].
-
Liddell EGT,
Phillips CG
(1944)
Pyramidal section in the cat.
Brain
67:1-9[Free Full Text].
-
Matsumura M,
Sawaguchi T,
Kubota K
(1992)
GABAergic inhibition of neuronal activity in the primate motor and premotor cortex during voluntary movement.
J Neurophysiol
68:692-702[Abstract/Free Full Text].
-
Matsunami K,
Hamada I
(1981)
Characteristics of the ipsilateral movement-related neuron in the motor cortex of the monkey.
Brain Res
204:29-42[ISI][Medline].
-
Metherate R,
Tremblay N,
Dykes RW
(1988)
The effect of acetylcholine on response properties of cat somatosensory cortical neurons.
J Neurophysiol
59:1231-1252[Abstract/Free Full Text].
-
Nowak LG,
Bullier J
(1996)
Spread of stimulating current in the cortical gray matter of rat visual cortex studied on a new in vitro slice preparation.
J Neurosci Methods
67:237-248[ISI][Medline].
-
Orlovsky GN,
Deliagina TG,
Grillner S
(1999)
In: Neuronal control of locomotion. From mollusc to man. Oxford: Oxford UP.
-
Patla AE,
Prentice SD,
Robinson C,
Neufeld J
(1991)
Visual control of locomotion: strategies for changing direction and for going over obstacles.
J Exp Psychol Hum Percept Perform
17:603-634[ISI][Medline].
-
Porter R,
Lewis M
(1975)
Relationship of neuronal discharges in the precentral gyrus of monkeys to the performance of arm movements.
Brain Res
98:21-36[ISI][Medline].
-
Pryor K
(1975)
In: Lads before the wind. New York: Harper and Row.
-
Rank JB
(1975)
Which elements are excited in electrical stimulation of mammalian central nervous system: a review.
Brain Res
98:417-440[ISI][Medline].
-
Rao SG,
Williams GV,
Goldman-Rakic PS
(1999)
Isodirectional tuning of adjacent interneurons and pyramidal cells during working memory: evidence for microcolumnar organization in PFC.
J Neurophysiol
81:1903-1916[Abstract/Free Full Text].
-
Rao SG,
Williams GV,
Goldman-Rakic PS
(2000)
Destruction and creation of spatial tuning by disinhibition: GABAA blockade of prefrontal cortical neurons engaged by working memory.
J Neurosci
20:485-494[Abstract/Free Full Text].
-
Reitboeck HJ
(1983)
Fiber microelectrodes for electrophysiological recordings.
J Neurosci Methods
8:249-262[ISI][Medline].
-
Ruffo M,
Postupna N,
Anderson M
(2001)
Corticothalamic neurons to motor thalamus have low spontaneous or task related activity.
Soc Neurosci Abstr
27:824.4.
-
Schmied A,
Fetz EE
(1987)
Activity-related changes in electrical thresholds of pyramidal tract axons in the behaving monkey.
Exp Brain Res
65:352-360[Medline].
-
Sherman SM,
Guillery RW
(2001)
In: Exploring the thalamus. New York: Academic.
-
Sillito AM
(1975)
The contribution of inhibitory mechanisms to the receptive field properties of neurons in the striate cortex of the cat.
J Physiol (Lond)
250:305-329[Abstract/Free Full Text].
-
Strick PL,
Sterling P
(1974)
Synaptic termination of afferents from the ventrolateral nucleus of the thalamus in the cat motor cortex. A light and electron microscopy study.
J Comp Neurol
153:77-106[ISI][Medline].
-
Swadlow HA
(1988)
Efferent neurons and suspected interneurons in binocular visual cortex of the awake rabbit: receptive fields and binocular properties.
J Neurophysiol
59:1162-1187[Abstract/Free Full Text].
-
Swadlow HA
(1989)
Efferent neurons and suspected interneurons in S-1 vibrissa cortex of the awake rabbit: receptive fields and axonal properties.
J Neurophysiol
62:288-308[Abstract/Free Full Text].
-
Swadlow HA
(1990)
Efferent neurons and suspected interneurons in S-1 forelimb representation of the awake rabbit: receptive fields and axonal properties.
J Neurophysiol
63:1477-1498[Abstract/Free Full Text].
-
Swadlow HA
(1991)
Efferent neurons and suspected interneurons in second somatosensory cortex of the awake rabbit: receptive fields and axonal properties.
J Neurophysiol
66:1392-1409[Abstract/Free Full Text].
-
Swadlow HA
(1994)
Efferent neurons and suspected interneurons in motor cortex of the awake rabbit: axonal properties, sensory receptive fields, and subthreshold synaptic inputs.
J Neurophysiol
71:437-453[Abstract/Free Full Text].
-
Swadlow HA
(1995)
Influence of VPM afferents on putative inhibitory interneurons in S1 of the awake rabbit: evidence from cross-correlation, microstimulation, and latencies to peripheral sensory stimulation.
J Neurophysiol
73:1584-1599[Abstract/Free Full Text].
-
Swadlow HA
(1998)
Neocortical efferent neurons with very slowly conducting axons: strategies for reliable antidromic identification.
J Neurosci Methods
79:131-141