Activity in Ventral and Dorsal Premotor Cortex in Response to Predictable Force-Pulse Perturbations in a Precision Grip Task

Marie-Josée Boudreau, Thomas Brochier, Michel Paré, and Allan M. Smith

Centre de Recherche en Sciences Neurologiques, Département de Physiologie, Université de Montréal, Montreal, Quebec H3C 3T8, Canada


    ABSTRACT
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Boudreau, Marie-Josée, Thomas Brochier, Michel Paré, and Allan M. Smith. Activity in Ventral and Dorsal Premotor Cortex in Response to Predictable Force-Pulse Perturbations in a Precision Grip Task. J. Neurophysiol. 86: 1067-1078, 2001. This study compared the responses of ventral and dorsal premotor cortex (PMv and PMd) neurons to predictable force-pulse perturbations applied during a precision grip. Three monkeys were trained to grasp an unseen instrumented object between the thumb and index finger and to lift and hold it stationary within a position window for 2-2.5 s. The grip and load forces and the object displacement were measured on each trial. Single-unit activity was recorded from the hand regions in the PMv and PMd. In some conditions a predictable perturbation was applied to the object after 1,500 ms of static holding, whereas in other conditions different random combinations of perturbed and unperturbed trials were given. In the perturbed conditions, some were randomly and intermittently presented with a warning flash, whereas some were unsignaled. The activities of 198 cells were modulated during the task performance. Of these cells, 151 were located in the PMv, and 47 were located in the PMd. Although both PMv and PMd neurons had similar discharge patterns, more PMd neurons (84 vs. 43%) showed early pregrip activity. Forty of 106 PMv and 10/30 PMd cells responded to the perturbation with reflexlike triggered reactions. The latency of this response was always <100 ms with a mean of about 55 ms in both the PMv and the PMd. In contrast, 106 PMv and 30 PMd cells tested with the perturbations, only 9 and 10%, respectively, showed significant but nonspecific adaptations to the perturbation. The warning stimulus did not increase the occurrence of specific responses to the perturbation even though 21 of 42 cells related to the grip task also responded to moving visual stimuli. The responses were retinal and frequently involved limited portions of both foveal and peripheral visual fields. When tested with a 75 × 5.5-cm dark bar on a light background, these cells were sensitive to the direction of movement. In summary, the periarcuate premotor area activity to related to predictable force-pulse perturbations seems to reflect a general increase in excitability in contrast to a more specific anticipatory activity such as recorded in the cerebellum. In spite of the strong cerebello-thalamo-cortical projections, the results of the present study suggest that the cortical premotor areas are not involved in the elaboration of adaptive internal models of hand-object dynamics.


    INTRODUCTION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

In precision handling, the grip forces applied to an object are initially regulated by peripheral feedback, which informs the nervous system about the inertial and frictional properties of an object (Johansson and Westling 1984; Westling and Johansson 1984). With further experience these afferents contribute to the development of an internal model or a mental representation of familiar objects and their physical properties that are important for their efficient handling (Flanagan and Wing 1993, 1997; Gordon et al. 1991, 1993). However, where these mental representations are stored within the nervous system is unknown, and how the internal model exerts its influence over the efferent motor pathways acting to optimize grip force remains unclear.

Two regions likely to be involved with adapting and preparing hand muscles for executing dexterous movements are the regions about the arcuate sulcus known as the ventral and dorsal premotor areas (the PMv and PMd). Single-cell activity from awake monkeys has been recorded in both these areas in instructed-delay tasks. In these tasks the animal was first presented with a cue that indicates the type or direction of movement to be made, but the animal had to withhold responding until a second stimulus triggers the prepared response. Some premotor neurons are selectively activated during the interval between the presentation of the instructional signal and the triggering stimulus (Godschalk et al. 1985; Kurata and Wise 1988a,b; Sakai 1978; Weinrich and Wise 1982). Taken together these studies suggest that the PMv and PMd might play an important role in developing preparatory motor strategies.

When predictable force pulses are applied to a hand-held object, human subjects demonstrate their preparation by increasing the grip force and stiffening the wrist and fingers (Johansson and Westling 1988; Lacquaniti and Maioli 1989; Winstein et al. 2000). Monkeys also show similar adaptive behaviors when confronted with predictable perturbations. However, single-cell recordings of the neuronal discharge in the primary motor cortex, the supplementary motor cortex, and the cingulate motor area related to anticipation of the perturbation has so far failed to find any strong evidence of an anticipatory discharge related to these behaviors (Cadoret and Smith 1997). To date the only region where we have found specific anticipatory activity is in the paravermal cerebellar cortex (Dugas and Smith 1992), and the anterior interpositus nucleus (Monzée and Smith 2000). Given the known anatomical connections between the cerebellar nuclei and the periarcuate premotor area (Middleton and Strick 2001), the premotor area seemed a region likely to show clear and specific activity anticipating predictable perturbations. The present experiment was designed to examine the PMv and PMd for activity related to a predictable force pulse applied to the hand in a lift and hold task.


    METHODS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Subjects and motor tasks

Three female monkeys (Macaca fascicularis) weighing between 2.5 and 3.5 kg were used in this study. They were subjected to extensive cortical single-unit recording in the premotor and primary motor areas, but only data recorded from the premotor cortex are reported here. Responses in the premotor areas to visual stimulation were tested in two monkeys. The apparatus and task were identical to those described in a previous study (Brochier et al. 1999). Briefly, the monkey used a precision grip to lift the armature of a linear motor within a vertical position window of 12-25 mm signaled by a 1-kHz tone, and to hold it stationary for 2 s. The grip and load forces and the armature displacement were recorded on every trial. Object weights of 0.3, 0.6, and 1.0 N were simulated by the linear motor. The textures employed were polished metal, fine-grained sandpaper (grit size 320) and coarse-grained sandpaper (grit size 40) providing smooth, moderately rough, and very rough surface texture, respectively. On separate blocks of trials, the linear motor generated brief (100 ms) downward force-pulse perturbations during stationary holding to produce an additional downward shear force on the fingers. The force-pulse perturbations varied from 1.0 to 3.5 N, and the monkey had to resist the perturbation by stiffening the wrist and fingers to maintain the metal tab within the boundaries of the position window. This perturbation was always delivered 1,500 ms after the object entered the window. Similar to a previous study (Picard and Smith 1992b) the testing procedures consisted of a block of ~30 unperturbed control trials followed by a block of ~30 consecutive perturbed trials and then followed by a second block of ~30 unperturbed control trials. However, in the present study, an additional block of trials was presented and consisted of random combinations of perturbed (75%) and unperturbed (25%) trials. In this condition, a warning flash preceded the perturbation by 800 ms. Whenever possible a condition presenting the warning stimulus on 100% of the trials was included for statistical comparisons.

Surgical preparation and recording procedures

After completion of the training period (>= 85% success in the grasping task) the monkeys were surgically prepared for chronic single-cell recording according to previously published procedures (Espinoza and Smith 1990; Evarts 1965). After a postoperative recovery period, single-unit activity was recorded in either the PMv or PMd region of the periarcuate premotor area on a daily basis. If a cell was judged to be task related, the cell discharge was recorded in different conditions. Whenever possible after data collection, each cell was carefully examined to identify the receptive field (RF). Occasionally responses to intracortical microstimulation (ICMS) were tested with a 100-ms train of 0.2-ms cathodal pulses delivered at 300 Hz through a constant-current isolation unit. The maximum applied intensity was 100 µA. Cutaneous RFs were identified by stroking the glabrous skin of the fingers and palm with soft camelhair brushes or by light skin indentations made with a small blunt probe. Proprioceptive RFs were identified by passively moving the hand or digits about different joints when the monkey was as quiescent and relaxed as possible. The RFs gave some indication of the extent of the thumb and index finger representation in the premotor and motor cortex.

Visual stimulation experiments

Once a PMv or PMd cell has been recorded in all conditions, and the RF had been examined, some cells were additionally tested with different visual stimuli. First, we qualitatively tested the cell with moving stimuli (e.g., hand, pencil, carrot) in the animal's visual field at a distance of about 20 cm to see whether these stimuli were effective in eliciting neuronal responses. Careful attention was paid to ensure that the moving stimulus did not elicit a visible saccade. Cells that responded to visual stimuli were further tested with a 75 × 5.5-cm dark bar displaced about 30 cm away from the monkey's eyes on a white background. The bar was moved over a distance of about 60 cm in one of four orthogonal orientations (left to right, right to left, up to down, and down to up) and at two velocities (about 0.4 and 0.8 m/s). Care was also taken to ensure that the hand was relaxed and stationary during visual stimulation. The output from an accelerometer attached to the bar was fed to a laboratory computer. Whenever possible, we also recorded neuronal activity as the animal was taking pieces of food from the hand of the experimenter at different positions in the visual field. Some reaching for food was recorded with a video camera at 60 frames/s.

Histological analysis and reconstruction of recording sites

At the conclusion of experimentation, electrolytic lesions were made in two monkeys by passing current through the recording microelectrode sites (25-50 µA for 20 s) to establish the location of the recorded cells. These electrolytic marking lesions were produced at three stereotaxically chosen penetrations within the recording chamber. At the end of the experiment, the animal was killed with an overdose of pentobarbital sodium and perfused transcardially with 0.9% saline followed by 4% paraformaldehyde. After the brain had been removed, visible marks were applied to the cortical surface at the penetration sites, and the brain was photographed. The brain was immersed in a solution of sucrose (20%, 4°C) for 24 h for cryoprotection before freezing (-80°C). One in two of 40-µm frozen sections cut in a parasagittal plane was stained with cresyl violet. The location of electrode penetrations and the recording sites were reconstructed from the lesion coordinates.

Statistical analysis

The neuronal activity was judged to be significantly related to the task if a change in discharge frequency lasting at least 200 ms deviated by >2 SDs from a mean baseline activity preceding the grip onset by 1 s. The onset time of the neuronal activity change was defined from the histogram as the first of the five consecutive bins (100 ms) that deviated from the mean control value. A t-test or an ANOVA was used to determine whether the texture and weight had a significant effect on the prehensile force and discharge frequency. Neuronal responses to the perturbation were analyzed in two different ways. To test for specific responses to the perturbation, the mean firing frequency occurring 100 ms before the perturbation was compared with the activity during an equivalent period of time in the unperturbed control condition. A t-test (P <=  0.05) or an ANOVA followed by a Tukey's HSD multiple comparisons test (P <=  0.05) determined whether the perturbation had any significant influence on neuronal activity. The reflexlike responses following the perturbation were determined by comparing the mean firing frequency during the 100 ms before and after the perturbation onset with a t-test (P <=  0.01).


    RESULTS
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

General characteristics of recorded neurons

A total sample of 198 premotor cortex neurons showing activity changes related to the grasping task was recorded in 3 monkeys. Of these neurons, 151 were located in the PMv, and 47 were located in the PMd (see Table 1). Task-related PMv neurons were recorded in the inferior limb of the periarcuate sulcus in the areas called F4 and F5 by Matelli et al. (1985, 1991) on the basis of cytoarchitectonic and histochemical features. Task-related PMd neurons were recorded medial to the spur of the arcuate sulcus, approximately in the region called F2 by Matelli et al. (1985, 1991). ICMS evoked brief finger movements at only 2 of 5 recording sites tested in the PMd (threshold 40 µA) and no movements at 12 tested sites in the PMv with intensities of up to 100 µA.


                              
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Table 1. General characteristics of recorded cells

Histological verification

The recording sites were estimated from the position of the electrolytic marking lesions and electrode tracks in the cortex as well as from ink spots applied to the cortical surface at the penetration points visible on postmortem inspection. Figure 1 shows the approximate position of the electrode penetrations in the PMv and PMd for the three monkeys. Over 90% of the cells were recorded at an estimated depth of 0.5-2.5 mm below the cortical surface, although some penetrations extended further into the depth of the arcuate sulcus.



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Fig. 1. The recording sites in the thumb and index areas of the ventral and dorsal premotor cortex (PMv and PMd) for the 3 monkeys. The open circles represent the sites where cells with visual receptive fields were recorded. AS, arcuate sulcus; CS, central sulcus; MI, primary motor cortex; PMv, ventral premotor cortex; PMd, dorsal premotor cortex. The boundary between the motor cortex and the premotor cortex was established on the basis of cytoarchitectonic criteria distinguishing area 4 from area 6 (Sessle and Wiesendanger 1982). These included the higher density of large pyramidal cells in layer V of primary motor cortex area and the low current threshold required for eliciting movements with intracortical microstimulation (ICMS) in this area compared with the relatively lower incidence of motor reactions to ICMS in the premotor cortex.

Description of the RFs

The responses to cutaneous and proprioceptive stimuli were examined in 75 neurons, 57 in the PMv and 18 in the PMd. A total of 49/75 cells (37 in PMv and 12 in PMd) were responsive to proprioceptive stimulation. Most of neurons for the pooled PMv and PMd had proprioceptive RFs associated with the forelimb digits including the thumb (12, 25%), index finger (21, 43%), or several fingers sharing the same muscle (11, 23%). The remaining proprioceptive RFs (5, 10%) were associated with wrist muscles. PM cells receiving proprioceptive input were generally excited by passive movement in a single direction, suggesting that the activation arose from stimulation of muscle and tendon receptors. Only four cells (3 in the PMv and 1 in the PMd) had cutaneous RF.

Firing patterns

The discharge patterns of the recorded neurons in the PMd were very similar to those of PMv neurons. In both areas most task-related neurons were phasic (57% in PMd and 66% in PMv). The majority of these phasic neurons were active during the dynamic phase of the task and most frequently before the grip force onset. Some phasic neurons (10/127) were also activated during the release of the object. Table 2 illustrates the distribution of firing patterns in the PMv and PMd regions. The proportion of phasic to tonic cells (23% in PMv and 26% in PMd) observed in the lateral premotor areas was similar to those encountered in the motor cortex (Picard and Smith 1992a), and supplementary motor areas (SMA) (Cadoret and Smith 1995, 1997). However, cells in the PMv and PMd had a higher proportion of phasic-tonic neurons than either the CMAv (18%) or the SMA (8%) according to data from Cadoret and Smith (1997). A small proportion of cells, 10% in PMv and 15% in PMd, showed a tonic firing pattern. Cells that decreased their discharge in relation to the task were rare (1-2%).


                              
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Table 2. Discharge patterns

Pregrip activity in PMv and PMd cortical neurons

Many cells in the PMv (65/151, 43%) and in the PMd (39/47, 83%) demonstrated a significant increase in activity before the hand contacted the object. The activity changes were not time locked to the grip onset and frequently occurred even before the onset of the hand movement toward the object. Both phasic and tonic cortical cells in the PMv and PMd areas had this type of pregrip activity. Using the same criterion described in the methods, the onset of activity in the PMv was compared with the activity in the PMd to determine whether one of these cortical areas had earlier activity in the precision grip. Although a larger proportion of PMd cells demonstrated earlier increases in discharge activity than PMv cells, the onset of pregrip activity in these two premotor areas was similar (on average 551 ms in the PMv and 561 ms in the PMd). An example of pregrip activity recorded in both regions is shown in Fig. 2. As seen from the raster, the duration of pregrip activity varied from trial to trial and might have been related to the transport of the hand to grasp the object; however, this was not systematically noted. Figure 3 shows the distribution of neuronal onset times in relation to the grip onset.



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Fig. 2. Mean activity of 2 neurons showing pregrip activity. A: a neuron from the PMv. B: a neuron from the PMd. The 1st 3 traces represent mean displacement, mean grip force, and mean load force. Bottom: unit activity rasters aligned on the grip force onset and shown in chronological order from bottom to top and the periresponse time histograms constructed from the rasters. The textures employed were fine-grained sandpaper (A; grit size 320) and coarse-grained sandpaper (B; grit size 40). The object weight was 0.6 N for both figures.



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Fig. 3. Distribution of PMd and PMv neuronal activity onset times in relation to the grip onset.

Weight and texture effects

Apart from a minimal lifting force sufficient to oppose the three resistive forces of 0.3 N, 0.6 N, and 1.0 N, the monkeys were free to apply any grip force they chose. In fact on average, the grip force generated was similar for all weights, perhaps only because the object surface texture offered sufficient friction to provide a wide safety margin for only a modest effort. As might be expected, when a variety of surface textures were used, the peak grip force was highest for the smooth metal surface and lowest for the fine and coarse-grained sandpaper. The effect of texture, and by inference friction, on the peak grip force was much greater than the effect of resistive force. However, no relationship was found between grip force level and discharge frequency for the 13 neurons (9 in PMv and 4 in PMd) tested in this study. Conversely, surface texture was associated with significant changes (t-test, P < 0.01) in the discharge frequency for three of the four PMv cells tested, and the effect was clear in both the lifting and holding phases. The discharge frequency for each of these cells was greater for the fine and coarse-grained sandpaper than for the polished metal, although the exerted grip force was actually less for the higher friction surfaces. Figure 4 shows a cell with greater activity while gripping the sandpaper surface than the smooth metal despite the fact that a greater grip force was applied to lift this smooth surface.



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Fig. 4. Activity of a PMv cell tested with coarse-grained sandpaper and smooth metal surface (thin lines: smooth metal; thick lines: sandpaper) with a resistive force of 0.6 N. Top right: the inset shows a cutaneous receptive field (RF) on the index finger.

Behavioral responses to the perturbations

SPECIFICALLY TIMED RESPONSES AND GENERALLY ADAPTIVE BEHAVIOR. The perturbations, because of their regular occurrence, were highly predictable and allowed the animals to develop a variety of adaptive behaviors. Two categories of adaptive strategies were identified. One type involved specifically timing the response to precede the perturbation and consisted of increasing the prehensile force and stiffening the wrist and fingers immediately prior to the force pulse to reduce slip and attenuate movement at the wrist. In contrast, a variety of other general adaptations were not specifically timed, but nevertheless, helped the animal to cope with the perturbations. A generalized grip force increase throughout the trial and holding the object higher in the position window are examples of general adaptive strategies where the behavioral timing was not critical. On 52% of the trials, the animals opted for a combination of two generally adaptive behaviors; the grip force increase and change in position. However, the two categories of adaptive strategies were not mutually exclusive and could occur within the same trial.

To assist the monkey in discriminating perturbed from unperturbed trials, a warning stimulus consisting of a 100-ms bright light flash was presented 0.8 s before the force-pulse perturbation. This visual warning stimulus was usually presented randomly on 75% of the trials, although occasionally the animals were tested with the warning stimulus delivered on 100% of the trials. Surprisingly, this warning stimulus did not appear to have any significant additional effect on either the grip force or the object displacement. Moreover, when a preparatory strategy was present, in general it was also present in the 25% of the trials that were unperturbed. The magnitude of grip force increases was similar regardless of whether the warning stimulus was present or not.

REFLEXLIKE OR TRIGGERED REACTIONS. In addition to these preparatory behaviors, the monkeys demonstrated stereotyped "triggered reactions" that were reflexlike because of their time-locked stereotypic nature. These triggered reactions were immediately and invariably present after the perturbation at latency of 50-100 ms and consisted of an increase in prehensile force and upward movement generated at the wrist to restore the object to its initial position. This triggered reaction disappeared as soon as the perturbation was withdrawn.

Neuronal responses to the perturbation

Of 198 task-modulated cells, 136 neurons (106 in the PMv and 30 in the PMd) were tested with the perturbation. Thirty-nine cells were tested with the unsignaled perturbation alone, and 43 cells were tested with the warning stimulus signaling the perturbation alone. Fifty-four cells were tested both with and without the warning stimulus (see Table 1).

ACTIVITY ASSOCIATED WITH GENERALLY ADAPTIVE BEHAVIOR. A small number of cells in both the PMv (10/106, 9%) and PMd (2/30, 7%) showed a significant change (P < 0.05) in their discharge frequency before the force-pulse perturbation onset. Four of these cells also exhibited an additional reflexlike response to the perturbation. Figure 5 shows two examples of cells with general, not specifically timed activity increases before the perturbation onset. These nonspecific adaptations were usually apparent immediately after the object was stabilized within the position window. Although the spontaneous activity of these cells was generally increased, no cells showed a ramplike increase in specifically timed preparatory activity prior to the perturbation.



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Fig. 5. Mean discharge frequency of 2 neurons, from PMv in A and from PMd in B, with a nonspecific activity increases before the perturbation onset. The mean displacement, grip, and load force traces are superimposed. The mean control traces are shown as thin lines, the unsignaled perturbation traces as thick lines. The texture was fine-grained sandpaper (grit size 320) and the resistive force was 0.6 N for both cells throughout. The cell on the left responded to stretch of the index flexor muscles.

WARNING STIMULUS EFFECTS ON SPECIFICALLY TIMED RESPONSES AND GENERALLY ADAPTIVE BEHAVIOR. Seven cells had nonspecific adaptations prior to the perturbation both in the signaled and unsignaled perturbation condition. Only two PMv cells had significant activity increases (ANOVA, Tukey's HSD, F = 33.2 and 22.1, df = 96 and 92, P < 0.001) when the perturbation was signaled by the warning flash. However, the increased discharge emerged before the warning stimulus, suggesting that this activity was not specifically triggered by the warning. Figure 6 shows an example of a cell with higher discharge frequency in the signaled condition. The warning stimulus did not have any effect on the discharge of any of the five other cells. There was no difference in the incidence of activity changes in PMv compared with PMd for the perturbation. Moreover, presenting the warning stimulus on 100% of trials had no additional effect on the adaptation to the perturbation.



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Fig. 6. Mean discharge frequency of a cell with activity increases prior to the perturbation onset. The increased discharge is higher in the signaled (bottom trace) compared with the unsignaled condition (middle trace). The mean displacement, grip, and load force traces are superimposed with the control shown by thin lines, unsignaled condition as medium lines and the signaled condition as thick lines. The texture was fine-grained sandpaper (grit size 320), and the resistive force was 0.6 N throughout.

TRIGGERED REACTIONS. In contrast to responses preceding the perturbation, 40 of 106 PMv cells and 10 of 30 PMd cells demonstrated significant changes in activity that were triggered by the force pulse (Fig. 7). For cells both in the PMv and PMd the response to the perturbation was usually an increase in the discharge frequency. In the majority of responsive cells, the increase in firing frequency was of sharp onset and could be accurately measured from a peristimulus activity histogram. The magnitude of the neuronal response to the perturbation corresponded to the absolute value of the difference between the peak of the postperturbation frequency discharge (100 ms poststimulus) and the mean preperturbation neuronal activity (100 ms prestimulus). On average, the differences between the PMv (31.4 ± 21.4 spikes/s, mean ± SD) and PMd (35.0 ± 22.3 spikes/s) were not significant. Some tonically active neurons (8/106, 7%) in the PMv exhibited an inhibition of their discharge following the perturbation.



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Fig. 7. Mean discharge frequency of 2 neurons, from the PMv in A and from the PMd in B, showing responses triggered by the perturbation. The mean displacement, grip, and load force traces are superimposed and aligned on the perturbation onset for the control (thin lines) and unsignaled perturbation (thick lines) conditions. The cell on the left responded to both passive flexion and extension of the index finger. The texture were fine-grained sandpaper (A; grit size 320) and coarse-grained sandpaper (B; grit size 40). The resistive force was 0.6 N for both cells.

The response latency to the force-pulse perturbation was calculated from a peristimulus time histogram synchronized on the perturbation onset with a binwidth of 5 ms (Fig. 8). In all cells with a reflexlike response, the increase or decrease of activity occurred within 100 ms after the perturbation. Although the distribution of response latencies was broad, most cells responded with a similar mean latency, 55 ± 16.9 ms in the PMv (n = 40) and 54.5 ± 17.4 ms in the PMd (n = 10). The mean latency of periarcuate premotor area neurons was slightly longer than those previously reported for the motor cortex (Picard and Smith 1992b) and the somatosensory cortex (Salimi et al. 1999) but similar to those reported in cingulate cortex and SMA (Cadoret and Smith 1997). Seven of 136 cells tested for the perturbation had a response latency longer than 100 ms, and the activity of these cells might be a consequence of voluntary grip force increases rather than a more direct response to the slip and shear forces generated by the perturbation.



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Fig. 8. Latency distribution of the responses triggered by the force-pulse perturbation (10 cells in the PMd and 40 in the PMv).

Neurons responsive to moving visual stimuli

Forty-two cells, 36 in PMv and 6 in PMd, related to the precision grip task were tested for responses to moving visual stimuli. Although they did not respond to the flash associated with the perturbation, 21 neurons located in the PMv responded strongly to moving stimuli unrelated to the task. Six of these visually responsive cells also responded to proprioceptive stimuli as well. The proprioceptive and visual RFs, however, were dissociated from each other since the visual responses could be clearly elicited when the hand was out of the animal's view. Similarly, stimulation of the hand beyond the visual field also evoked a cellular response. The most salient feature of these visual responses was their sensitivity to movement in certain portions of the visual field. These visual responses seemed to be clearly retinal and not oculomotor. Pure retinal and oculomotor discharges such as recorded in the frontal eye fields or visual cortex produce characteristic bursts of activity with saccadic eye movements. PMv neurons did not have saccade-related bursts. The four cells tested with a 75 × 5.5-cm dark bar displaced on white background appeared to be selectively sensitive to movement orientation. Figure 9 is an example of a cell with activity modulated in the grasping task (A) showing a selective sensitivity for movement in the downward direction (B). Figure 9B also illustrates that when testing with different stimulus velocities, the burst of activity was related to the spatial location of the bar within the visual RF. If the neuron had been sensitive to movement velocity within the RF, it would have discharged at a higher frequency for higher velocities. Instead, faster velocities (from about 0.4 to 0.8 m/s) decreased the discharge frequency (on average from 57.8 and 42.5 spikes/s, respectively) because the moving bar was within the RF for a shorter period of time. The other three cells tested with a moving bar showed similar responses.



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Fig. 9. A PMv neuron with activity modulated in the grasping task shown in A also responded to visual stimulation shown in B. The response of the PMv cell to a moving bar displaced in 4 different directions (top) and with 2 different velocities (bottom) are shown. This cell is selectively sensitive to movement in the downward direction. Arrows: 1st, stimulus onset; 2nd, stimulus offset.


    DISCUSSION
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
REFERENCES

Pregrip activity of PMv and PMd cortical neurons

A large proportion of neurons in both PMv and PMd cortex had activity changes that preceded the grip onset by a similar mean interval (approx 550 ms), suggesting a parallel activation of these areas in voluntary grasping. In previous studies, estimates of the timing of premovement activity changes varied widely. For example, in PM cortex Okano and Tanji (1987) reported that in self-paced distal movements activity changes occurred 197 ms prior to movement. In contrast, Romo and Schultz (1987) reported that neurons in PM cortex were activated up to 2.6 s in advance of self-initiated arm reaching movements. This discrepancy among estimates of the onset of premovement activity may well be due to differences in defining the movement onset in each study or to differences in defining baseline activity during the control period. In our study the early onset of neuronal pregrip activity might arouse the suspicion that the monkey was touching the grasping pads before the grip onset. However, the training procedures required the animal to keep his hand away from the object for a 2-s period between trials. During this period the hand was generally motionless, and the changes in activity frequently preceded movement of the fingers. The early activity may be related to the wrist movement and finger extension prior to grasping the manipulandum. We have no means of knowing the exact time at which premotor activity preceded these early hand movements.

Early premovement activity has been reported for the visually triggered shoulder-related responses of neurons in parietal area 5 (Kalaska 1996; Sakata et al. 1995) and in the self-paced hand-related responses of neurons in parietal area 7 (Salimi et al. 1999). In view of the anatomical projections from parietal areas 5 and 7 to these premotor areas (Cavada and Goldman-Rakic 1989a,b; Luppino et al. 1999; Matelli et al. 1986; Petrides and Pandya 1984), it is perhaps not surprising to find premovement activity in the PMv and PMd regions as well. On the other hand, in spite of the similar onset of pregrip activity in these two regions, the proportion of cells showing pregrip activity was higher in the PMd region. Eighty-three percent of cells in the PMd showed pregrip activity compared with 43% of the cells in the PMv. These results are consistent with those reported by Kurata (1989, 1993) showing that cells firing prior to movement onset were more common within the PMd compared with PMv. Crammond and Kalaska (1996) also showed that PMd cells were largely active during the period preceding the movement onset in a visually triggered pointing task. Although these results appear to support the idea that PMd cortex plays a role in the preparation for movement, our sample of PMd neurons is too small to conclude that it plays a particular role in movement initiation that is not shared with the PMv. It is very unlikely that the timing discrepancies were due to differences in the monkeys' behavior since recordings were made in both areas in all three monkeys. In many studies (Kurata 1989, 1993; Kurata and Wise 1988a,b; Weinrich et al. 1984), cells in PMd respond during an instructed delay period following a visual warning cue. By contrast, the grasping and holding task of the present study was self-initiated and did not provide GO and NO-GO stimuli for the execution of movement.

Premotor activity and grip force

The absence of a correlation between the grip force level and the discharge frequency in the PMv and PMd is rather surprising since Hepp-Reymond and colleagues (1994, 1999) described a population of PMv and PMd neurons that had firing rates correlated with the finely graded isometric forces exerted between thumb and index fingers in a visuomotor step tracking task. However, the force levels and the methods used to induce an increase in grip force were different. Apart from a minimal lifting force required to oppose the resistive force (0.3, 0.6, and 1.0 N) in our study, the animal was free to choose the grip force and probably developed a default force strategy. In contrast, in the studies of Hepp-Reymond et al. (1994, 1999), the monkey was required to maintain two or three consecutive force levels. The number of cells tested for force in our study was quite small (13) and therefore limited the comparison with earlier studies. Although we did not find any neurons with specific force range-related activity, we did find some cells whose activity was changed by the texture of the grasped surface. For some of these texture-related cells the activity was greater for the rougher surfaces and therefore inversely related to the grip force.

Responses adapted to the perturbation

BEHAVIORAL RESPONSES. The highly predictable perturbation, applied during the holding phase in the precision grip task, was associated with grip force increases and position changes in all three monkeys. These two adaptive strategies were complementary, and both were useful for reducing the probability of performance errors.

As reported by Cadoret and Smith (1997) in a similar task, the adaptive responses would have been triggered from memory, because no specific stimulus was used to alert the animal of the impending perturbation. The only available cues were derived from the experience obtained from the first and all subsequent trials within the block. An extensive training period permitted the gradual emergence of these strategies. In the present experiment, a visual warning stimulus delivered 800 ms prior to the perturbation was added to signal the occurrence of an impending perturbation on 75% of the trials. Surprisingly, the warning stimulus did not seem to influence the adaptive responses since the grip force, grip force rate, and object displacement were not significantly different between the signaled and unsignaled perturbed conditions. The ineffectiveness of the visual warning stimulus was possibly because it did not require the animal to make a specific selection from a movement response repertoire. That is, in some tasks the instructional signal conveys information about response selection between incompatible alternatives such as flexion or extension (Halsband and Passingham 1985; Kurata 1993; Passingham 1988). Furthermore, in the present study, once the monkeys had established an adequate grip force safety margin and an optimal position within the window, the warning stimulus may have been merely superfluous. The fact that the adaptive behavior was present on 25% of the trials, which were unperturbed, suggests that the animal continued to anticipate the forthcoming perturbation from memory although the warning stimulus was absent.

NEURONAL RESPONSES TO SPECIFICALLY TIMED RESPONSES AND GENERALLY ADAPTIVE BEHAVIOR. Very few neurons in the PMv (9%) and PMd (10%) showed activity changes related to the adaptation to the perturbation in the present study. This is in contrast to the 25% of the cells in the cerebellar cortex that demonstrated specifically timed activity increases (Dugas and Smith 1992), and all the more surprising since the PMv is a major target of the cerebellar output (Middleton and Strick 2001). However, it appears that PMd and PMv neurons are more strongly modulated during the performance of a visuospatial instructed sequence than during a sequence performed from memory (Mushiake et al. 1991).

Boussaoud and Wise (1993) found that most of the cells in the PMd showed greater activity after a motor instructional cue, whereas the majority of PMv cells showed a greater discharge following an attention-alerting cue. In our experiment, the warning flash stimulus would have functioned more as an attentional cue than as an instructional cue, and the perturbation did not involve any change in movement in any particular direction. This may explain why the PMd cells in our study were unresponsive during the delay between the warning stimulus and the force-pulse perturbation. However, why so few PMv cells responded to the visual warning stimulus remains unexplained. In the present study, when both adaptive neuronal and adaptive behavioral responses were present, the activity increase invariably preceded the grip force increase. This suggests that the premotor cortical activity was more related to generally adaptive behavior and less involved in the elaboration of a specific internal model of hand-object dynamics based on feedback arising from execution of the task.

Triggered reactions

The downward force-pulse perturbation applied to evoke object slip between the fingers elicited a sharp short-latency response in some premotor cortical neurons active during the precision grip task. The proportion of PMv (37%) and PMd cells (33%) responsive to the perturbation was not very different from the proportion of similar cells recorded in the SMA (28%) and CMAv (38%) (Cadoret and Smith 1997). However, the proportion of responsive neurons in the PMv and PMd was lower than the 61% of responsive neurons found in primary motor cortex (Picard and Smith 1992b). The intensity of the triggered reactions was also less than those reported in MI (Picard and Smith 1992b), which might reflect the smaller percentage of cells receiving cutaneous inputs in the premotor areas.

Visually responsive neurons

In addition to movement-related discharge, it has been shown that many neurons in the PMv (Fogassi et al. 1996; Gentilucci et al. 1988; Godschalk et al. 1981; Graziano and Gross 1998; Graziano et al. 1994, 1997; Rizzolatti et al. 1981) and PMd (Fogassi et al. 1999) respond to visual stimuli. Some authors have suggested that about 40% of the neurons in PMv have both somatosensory and visual receptive fields (Fogassi et al. 1996; Graziano et al. 1994, 1997). Graziano and colleagues (1994, 1997) found that most of the dual modality cells, with tactile RFs on the face or arms had a corresponding visual RF in the region of space near the tactile RF. In contrast, all the neurons with visual and somatosensory RFs found in the present study had RFs that were totally independent of each other.

Several investigators (Fogassi et al. 1992, 1996; Graziano et al. 1994, 1997) have suggested that the location of these visual RFs is independent of eye position and that the PMv neurons encode space in a coordinate system that is not centered on the retina but rather on other body parts such as the arm and head. In contrast, the visual responses of PMv neurons in the present study appeared to encode the spatial location of the moving visual stimulus on the retina in "retinotopic" coordinates. This is supported by the fact that the duration of the discharge decreased as the velocity of the stimulus increased. Moreover, we were able to elicit clear visual responses from hand-related neurons when the hand was completely out of view. Conversely, we obtained strongly modulated activity from PMv neurons associated with manipulation of an unseen object in the task. In our opinion all these experiments, including our own, have some ambiguities about the peripersonal space encoded by PMv neurons. Our own observations are more qualitative than quantitative, and our experimental design did not tightly control the eye position to delimit the exact size and shape of the visual RFs. Nevertheless, although Graziano and colleagues (1994, 1997) controlled the eye position by requiring a fixation point, they did not fully map the entire portion of the retina that was stimulated, and therefore the actual size of the visual RFs in the PMv was unknown. The question remains open as to how a moving visual stimulus is encoded by these neurons. To resolve this point a complete planimetric analysis of the visual responses is needed to establish an accurate estimate of the size of the visual RFs in PMv.

In summary, a comparison of the input-output properties of dorsal and ventral premotor area cells as well as a comparison of their activity patterns in a grasping task revealed some strong similarities between these two regions. For example, the majority of cells with RFs in both areas received more proprioceptive input from muscles and tendons than from cutaneous skin afferents. This observation is consistent with reports from other studies (Fogassi et al. 1999; Hepp-Reymond et al. 1994). The discharge patterns during grasping, lifting, and holding were very similar. The majority of task-related neurons in both areas were more active during grasping and lifting than during the static holding phase of the task. Moreover, a high proportion of the premotor neurons demonstrated reflexlike responses to the perturbation. In contrast, only a very few neurons in either area showed activity changes prior to the perturbations. In an earlier study (Dugas and Smith 1992) we found that the activity patterns of cerebellar neurons seemed specifically related to a preparatory strategy of increased grip force. In contrast, the responses of ventral and dorsal premotor area neurons appeared to be more general increases in overall excitability that did not seem related to any particular or specific motor preparation.


    ACKNOWLEDGMENTS

The authors gratefully acknowledge L. Lessard, J. Jodoin, C. Gauthier, C. Valiquette, and G. Messier for technical assistance. We also thank Dr. G. Cadoret for a critical reading of the manuscript.

This research was supported by a grant to Groupe de Recherche en Sciences Neurologiques from Medical Research Council of Canada and fellowships from the Fonds pour la Formation des Chercheurs et l'Aide à la Recherche.


    FOOTNOTES

Address for reprint requests: A. M. Smith, Centre de Recherche en Sciences Neurologiques, Département de Physiologie, Université de Montréal, C. P. 6128 Succ. A, Montreal, Quebec H3C 3T8, Canada (E-mail: allan.smith{at}umontreal.ca).

Received 8 June 2000; accepted in final form 3 May 2001.


    REFERENCES
TOP
ABSTRACT
INTRODUCTION
METHODS
RESULTS
DISCUSSION
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0022-3077/01 $5.00 Copyright © 2001 The American Physiological Society