Abstract
The mammalian frontal cortex (FCx) is at the top of the brain’s sensorimotor hierarchy and includes cells in the supragranular Layer 2/3, which integrate convergent sensory information for transmission to infragranular Layer 5 cells to formulate motor system outputs that control behavioral responses. Functional interaction between these two layers of FCx was examined using custom-designed ceramic-based microelectrode arrays (MEAs) that allowed simultaneous recording of firing patterns of FCx neurons in Layer 2/3 and Layer 5 in nonhuman primates performing a simple go/no-go discrimination task. This unique recording arrangement showed differential encoding of task-related sensory events by cells in each layer with Layer 2/3 cells exhibiting larger firing peaks during presentation of go target and no-go target task images, whereas Layer 5 cells showed more activity during reward contingent motor responses in the task. Firing specificity to task-related events was further demonstrated by synchronized firing between pairs of cells in different layers that occupied the same vertically oriented “column” on the MEA. Pairs of cells in different layers recorded at adjacent “noncolumnar” orientations on the MEA did not show synchronized firing during the same task-related events. The results provide required evidence in support of previously suggested task-related sensorimotor processing in the FCx via functionally segregated minicolumns.
INTRODUCTION
The sensorimotor neural processing system of the primate brain is crucial for the guidance of planned and learned behaviors (Andersen & Buneo, 2003; Fadiga & Craighero, 2003; Caminiti, Ferraina, & Mayer, 1998; Crammond & Kalaska, 1994; di Pellegrino & Wise, 1993; Mushiake, Inase, & Tanji, 1991). The frontal cortex (FCx) occupies the summit of sensorimotor processing hierarchies in the primate brain and plays a key role in the integration of sensory signals and their transformation into motor plans for action (Opris & Bruce, 2005; Schwartz, Moran, & Reina, 2004; Lebedev, Messinger, Kralik, & Wise, 2002; Fuster, 2001; Miller & Cohen, 2001; Boussaoud & Wise, 1993; Passingham, 1993; Rizzolatti et al., 1987; Kubota & Komatsu, 1985; Wise, 1985). Such transformation of incoming sensory information in the FCx and pFC is via normally firing “regular-spiking” (RS) layer-specific pyramidal cells and “fast-spiking” (FS) interneurons located within each cortical layer (Rao, Williams, & Goldman-Rakic, 1999). It has been shown in rodents and nonhuman primates (NHPs) that both types of cells are embedded in “laminar” microcircuits that consist of layered “minicolumns,” interconnected via projections of pyramidal cells to larger networks in other cortical and subcortical brain regions (Weiler, Wood, Yu, Solla, & Shepherd, 2008; Dombrowski, Hilgetag, & Barbas, 2001; Mountcastle, 1997; Kritzer & Goldman-Rakic, 1995; Barbas & Pandya, 1987, 1989). Such FCx minicolumns consist of cells in supragranular Layer 2/3, which receive convergent synaptic inputs from sensory and motor systems, and cells in the infragranular Layer 5, which are hypothesized to supply local circuit outputs to subcortical structures that mediate planned behavioral responses (Takeda & Funahashi, 2006; Yoshimura, Dantzker, & Callaway, 2005; Melchitzky, Sesack, Pucak, & Lewis, 1998; Kritzer & Goldman-Rakic, 1995).
A question posed early on (Mountcastle, 1997; Lorente de No, 1949) and that has remained somewhat unresolved (Weiler et al., 2008; Yoshimura et al., 2005; Douglas & Martin, 2004) is, “What are the transforming operations imposed in a local region of neocortex, a cortical column, upon its input, to produce its targeted outputs?” Previous anatomic and electrophysiological investigations (Funahashi & Inoue, 2000; González-Burgos, Barrionuevo, & Lewis, 2000; Jung, Qin, McNaughton, & Barnes, 1998; Kritzer & Goldman-Rakic, 1995) have examined both the structural and the functional bases of this operation (de Kock, Bruno, Spors, & Sakmann, 2007; Sakurai & Takahashi, 2006; Opris, Barborica, & Ferrera, 2005; Constantinidis, Williams, & Goldman-Rakic, 2002; Constantinidis, Franowicz, & Goldman-Rakic, 2001; Kritzer & Goldman-Rakic, 1995), but only a few studies have examined simultaneous firing patterns of cells in different cortical layers (Derdikman et al., 2006; Zhang & Alloway, 2006; Krupa et al., 2002; Jung et al., 1998).
The goal of the research reported here was to assess the columnar and laminar features of sensorimotor processing within Areas 46, 8, and 6 of FCx using a custom-designed ceramic-based microelectrode array (MEA; Burmeister et al., 2008; Hampson, Coates, Gerhardt, & Deadwyler, 2004; Moxon, Leiser, Gerhardt, Barbee, & Chapin, 2004) capable of recording simultaneous firing patterns of cells in Layer 2/3 and Layer 5 in NHPs performing a go/no-go visual discrimination task (Opris, Hampson, & Deadwyler, 2009). It is likely that RS and FS cells within each column show segregated activation and lack of integration across cortical layers if the columnar arrangement is to be maintained during different types of sensorimotor processing (Weiler et al., 2008; Goldman-Rakic, 1995). The custom-designed conformal MEA used in this study provides four separate recording sites at two different vertical depths corresponding to the distance between these two FCx layers (Hampson, Coates, et al., 2004). The results indicate that FCx neurons in Layer 2/3 and Layer 5 differentially encode task-related sensory stimuli and that such firing are segregated with respect to narrow bands of columnar-like synchronized activity across both layers evidenced by the spatially distinct recording sites on the conformal MEAs.
METHODS
All animal procedures were reviewed and approved by the Institutional Animal Care and Use Committee of Wake Forest University, in accordance with guidelines of the U.S. Department of Agriculture, the American Association of Laboratory Animal Care, the National Institutes of Health, and the U.S. Army Medical Research and Materiel Command Animal Care and Use Review Office.
Surgery
Each of the three NHPs (Macacamulatta) was anesthetized with ketamine (10 mg/kg) then intubated and maintained with isoflurane (1–2% in oxygen 6 l/min) during surgical placement of recording cylinders over targeted areas of FCx (Figure 1). The recording cylinders (Crist Instruments) were mounted on the skull over 11 mm diameter craniotomies for MEA access to frontal cortical recording loci (Opris et al., 2009; Hampson, Pons, Stanford, & Deadwyler, 2004). Cylinder placement was determined by MRI to overlie FCx at stereotaxic coordinates 25 mm anterior to interaural line and 12 mm lateral to the midline (Paxinos, Huang, & Toga, 2000). This location allowed access to the caudal region of principal sulcus, the dorsal limb of arcuate sulcus in area 8, and the dorsal premotor area 6 (Figure 1A). Two titanium posts were secured to the skull for head restraint with titanium screws embedded in bone cement. After surgery, animals were given 0.025 mg/kg buprenorphine for analgesia and penicillin injections to prevent infection. All cylinders were cleaned with Betadine after surgery and routinely during daily recording sessions.
Recording Procedures
Data acquisition software for 64-channel simultaneous recordings used the MAP Spike Sorter by Plexon, Inc. (Dallas, TX). RS and FS neurons (Elston et al., 2006; Rao et al., 1999) were recorded in Layer 2/3 and Layer 5 and from the dorsal bank of the arcuate sulcus in the dorsolateral premotor area of FCx. Custom-made ceramic MEAs, designed collaboratively and manufactured at the Center for Microelectrode Technology, University of Kentucky, consisted of eight patterned platinum recording pads on a ceramic substrate (Figure 1D and E) specifically configured for recording single neuron activity (Hampson, Coates, et al., 2004; Moxon et al., 2004). The model W3 version of the MEAs (Figure 1D and E) was specially designed with 20 × 150-µm recording pads 2a–d located to record activity from supragranular (Layer 2/3) cells, whereas pads 5a–d simultaneously recorded neuron activity from infragranular Layer 5 neurons (Figure 1B). The intrapad distance between the edges of pads 2a–d and 5a–d was 1350 µm, with a 40-µm separation between adjacent pads (i.e., 2a–c, 2b–d, etc.). Extracellular neuron action potentials (spikes) were identified and isolated on-line by separation of extracellular action potential waveform duration and amplitude and confirmed via off-line analysis using principal components analysis and autocorrelation to confirm that (a) single neurons were isolated, (b) all spikes of a given neuron were identified within 95% confidence, and (c) neurons detected simultaneously on adjacent sites were counted only once. Neural spike trains were analyzed with respect to firing rate during specific events within go/no-go trials (Hampson, Pons, et al., 2004).
The Go/No-go Task
The three NHPs were trained to sit in primate chairs in front of a display screen and move a cursor with their right arm to perform a visually guided go/no-go task (Opris et al., 2009). The position of the right arm was tracked via an illuminated UV-fluorescent reflector affixed to the back of the hand, digitized, and displayed as a large yellow cursor on the projection screen. The go/no-go task involved placing the cursor into a go target image when it appeared on the screen for go trials or withholding the cursor from the no-go target image when it appeared on separate no-go trials (Figure 2A). Trials were initiated by the animals placing the cursor inside a 3-in. diameter circular yellow outline (“start ring”) in the center of the screen. Response to the start ring produced one of the two visually distinct target images (go or no-go) positioned at random locations on the screen. Movement of the cursor into the go target image for at least 500 msec, within 2.0 sec of presentation (go response), produced delivery of a squirt of juice via a sipper tube mounted next to the animal’s mouth on the chair (Hampson, Pons, et al., 2004). Presentation of the no-go target image required withholding the cursor from touching the image for a 5.0-sec interval (no-go timeout), after which a squirt of juice was automatically delivered via the sipper tube (Figure 2A). Incorrect responses (i.e., failure to respond to go target within 2.0 sec or touching the no-go image with the cursor during the 5.0-sec no-go timeout interval) were not rewarded and were followed by a 5.0-sec delay with the screen blanked and no trials. The go and no-go trials were presented randomly in equal numbers during the session, and all trials were separated by a variable 3- and 10-sec intertrial interval). Animals were tested two to three times per week.
Data Analysis
Behavioral assessments of task performance were computed for each animal, yielding a mean for percent correct responses across all sessions for all animals of 93.8% (SEM = 0.5%), which indicated that prior training was sufficient to produce nearly automatic responding in the task with little or no cognitive demand (Figure 2A). Electrophysiological analyses used a MAP Spike Sorter (Plexon, Inc.) to discriminate and to analyze single-neuron waveforms from the MEAs in each animal with a multineuron acquisition processor and NeuroExplorer software (Nex Technologies, Littleton, MA). Mean firing rate for each neuron was analyzed in perievent histograms (PEHs) consisting of 100-msec time bins for ±3.0 sec surrounding each task-related event (e.g., image presentations and behavioral responses; Figure 2A). RS and FS neurons were segregated by frequency distribution of individual neuron baseline and peak firing rate into two distinct categories: one with baseline firing rate of 2 to 5 Hz with peaks to 10 Hz identified as RS cells, and the other category with baseline firing rates of 7 to 15 Hz and peaks >20 Hz identified as FS cells. In addition, neuron firing patterns were classified according to recording sites on the MEA as to layer identity and position (orientation) within the layer relative to neurons recorded in the other layer (Figure 1). Standard scores used the formula [z = (peak − baseline firing rate) / SD baseline firing rate] to identify significant firing peaks and/or troughs compared with baseline firing. For all analyses, baseline firing rate was computed as mean firing within a 1.0-sec epoch ending 1.0 sec before the presentation of the behavioral stimulus, that is, extending from −2.0 to −1.0 sec before the start ring, go target (presentation), or no-go target presentations. The go target response and reward were compared with the respective go or no-go target presentation baseline epoch to avoid including the neural response to the target. Only neurons with firing rates significantly elevated from baseline (Z scores, p < .01) were included in the analysis. Statistical analyses compared 600-msec time epochs for baselines, preevent, and postevent firing to test differences with respect to cells recorded in different layers (i.e., Layer 2/3 vs. Layer 5) and/or cells located at different sites on the MEA within the task. The synchrony between cells in different layers was tested using cross-correlation histograms (CCHs) that formulated the probability of synchronous spike occurrences using Layer 2/3 cell firing to test synchronous discharge of simultaneously recorded Layer 5 cells in 1.0-msec intervals over a ±2.0-sec time frame defined by significantly increased discharge to taskrelated events. CCHs were generated using a “shuffle 5 times” shift predictor built into Neuroexplorer, which computed the random cross-correlation due to chance by randomizing the actual spike sequence for a given pair of neurons. The randomization process was repeated four times, and random cross-correlation averaged over the five instances. This “shift-predictor” chance correlation was then subtracted from the raw correlation to produce CCHs. Population mean CCHs were then computed by averaging the CCHs across pairs of cells and plotting mean and SEM within 1-msec bins.
RESULTS
Neural activity was recorded with the abovementioned MEAs from cells in areas 46, 8, and 6 in the premotor region of FCx. Insertion methods and approaches were derived using MRI-confirmed stereotaxic coordinates to position MEAs perpendicular to the surface of the brain, which allowed simultaneous recording of cell activity in both Layer 2/3 and Layer 5 from multiple sites on the MEA (Figure 1). All animals were previously trained to perform the simple go/no-go task to near perfection (Figure 2A) to ensure differential behaviors during task-related events. Recordings were obtained from 253 frontal cortical neurons during performance of the task in the three different NHPs (Animals 1, 2, and 3; n = 19, 135, and 99 cells, respectively) and pooled for analysis with respect to MEA recording pads and task events. Of these, 99 cells were recorded from Layer 2/3 (supragranular) and 154 cells from Layer 5 (infragranular). The behavioral recording context (Figure 2A) allowed simultaneous assessment of the role of frontal cortical cells located in these two layers during trained task-related overt motor responses. The recording probe design allowed assessment of functional differences in cells recorded from the two different laminar frontal cortical regions (layers) as a function of orthogonal (vertical) recording relations during the same behavioral events.
Frontal Cortical Cell Activity Recorded with Conformal Ceramic MEAs
Figure 2B shows examples of conformal array recording with the W3 MEAs in the dorsal premotor region during go trials of the go/no-go task. The waveforms recorded at the vertically separated (1350 µm) recording sites on the MEA indicate individual isolated neuron firing exhibiting task-related discharges within different cortical cell layers, presumably supragranular Layer 2/3 cells shown at locations 2a–d and infragranular Layer 5 cells shown at MEA site locations 5a–d. Corresponding PEHs in Figure 2B illustrate the firing patterns of the same neurons, identified in terms of MEA recording pad location (i.e., 2a, 2b, 5a, 5b, etc.), synchronized to target image presentations within the task. The MEA routinely recorded RS cells from both Layer 2/3 and Layer 5 simultaneously in the same session, and as indicated in Figure 2B, most cells showed a significant either increase or decrease (noted by asterisks) in activity related to go/no-go task events. Figure 2C shows a real-time strip chart of simultaneous recordings from sites 2a–c separated by 40 µm on the MEA probe. The record shows examples of extracellular action potentials (arrows) at both recording sites that were not detected at opposing MEA locations despite proximity, indicating a lack of electrical coupling between adjacent recording sites.
Frontal Cortical Cell Firing: Start Ring Presentation
Figure 3A shows two RS frontal cortical neurons (Elston et al., 2006) recorded in Layer 2/3 and 1350 µm deeper in Layer 5 at the respective pads (2a and 5a) on the MEA (shown at right). The raster displays and PEHs show firing over the entire (go target) trial before presentation of the start ring image to initiate the trial (red line at 0 sec) and subsequent firing throughout the remainder of the trial until reward was delivered for successful performance (red dots). Figure 3B shows overall mean ± SEM firing rates for all RS frontal cortical cells recorded in Layer 2/3 (n = 54) and Layer 5 (n = 40) that showed significantly increased firing during start ring presentation. Mean firing rates were significantly elevated in both Layer 2/3 and Layer 5 after the start ring presentation relative to baseline firing rates measured 600 msec before image appearance; Layer 2/3 StartR, 7.60 ± 0.73 Hz versus baseline, 4.44 ± 0.83 Hz, F(4,3265) = 6.65, p < .001; Layer 5 StartR, 7.72 ± 0.82 Hz versus baseline, 4.80 ± 0.47 Hz, F(4, 3033) = 5.02, p < .001. Comparison of start ring induced increased (mean) firing rates of Layer 2/3 versus Layer 5 neurons (i.e., sites 2a–d vs. 5 a–d in Figure 3B) revealed no significant differences.
Frontal Cortical Cell Firing: Go Target Presentation
The raster displays and PEHs in Figure 4A show the phasic firing of two RS frontal cortical neurons recorded at MEA recording site 2a in Layer 2/3 (upper) and at site 5b in Layer 5 (lower) to go target presentation during performance of the go/no-go task. The red dots in the raster displays denote the time of occurrence of the go response after go target presentation. Both cells showed a marked increase in firing after presentation of the go target image with clear differences in the patterns of discharge, which decreased to baseline firing rates in both neurons within 0.5 sec (Figure 4A). Figure 4B shows a CCH indicating the probability of the Layer 5 cell firing (Figure 4A, lower) within ±10 msec of spike occurrences recorded simultaneously in the Layer 2/3 cell (Figure 4A, upper), assessed selectively over the ±2.0-sec PEH period and summed over all go target trials in the session. The large increase and relatively restricted firing probability (±2.0 msec) of the Layer 5 cell relative to Layer 2/3 cell spike occurrences is suggestive of task-related synchronization between layers for cells with a straight line vertical orientation (2a and 5b) on the MEA (diagram in Figure 4).
Figure 5A and B shows the mean ± SEM firing rates for all frontal cortical RS neurons recorded in Layer 2/3 and Layer 5 in response to go target presentation during the task, displayed according to recording sites with the same straight line vertical orientations (Figure 5A: 2a–d and 5a–b; Figure 5B: 2c–d and5c–d) on theMEA. The mean firing rate of all Layer 2/3 cells (n = 51) recorded at probe sites 2ab and 2cd showed an increase and significant transient firing peak immediately after (+0.25–0.50 sec) go target presentation with respect to the prior baseline (−2.0 sec) rate; Layer 2/3 GoT, 9.92 ± 1.12 Hz versus baseline, 4.43 ± 0.22 Hz, F(4, 2360) = 5.90, p < .001. Layer 5 cells (n = 53) in both lower MEA recording pad locations (5ab and 5cd) also showed significantly increased peaks in mean firing rate to go target presentation relative to baseline mean rate; Layer 5 GoT, 6.91 ± 0.78 Hz versus baseline, 4.32 ± 0.16 Hz, F(4, 2486) = 4.68, p < .001. The asterisks in Figure 5A and B indicate significant differences between peak mean firing rates at Layer 2/3 MEA recording sites versus peak rates at Layer 5 sites with respect to both vertical orientations; ab sites: Layer 2/3, 10.83 ± 1.25 Hz versus Layer 5, 7.09 ± 0.89, F(1, 2486) = 4.61, p < .01; cd sites: Layer 2/3, 9.01 ± 1.31 Hz versus Layer 5, 6.25 ± 1.31, F(1, 2486) = 4.44, p < .01. To examine synchronization of FCx cell firing between layers, mean ± SEM CCHs shown in Figure 5C were constructed for cell pairs recorded at sites 2ab–5ab and 2cd–5cd for ±2.0 sec relative to go target presentation (0 sec, Figure 5A and B). CCHs showed marked synchronized firing in terms of increased mean ± SEM firing probability, F(1, 1783) = 19.49, p < .001, for cell pairs recorded in both layers at parallel straight line vertical locations (2ab–5ab and 2cd–5cd) on the MEA (Figure 5C).
Figure 5C suggests that laminar processing may be specific to restricted columnar-like projections between cells in Layer 2/3 and Layer 5 during performance of go target trials (de Kock et al., 2007; Derdikman et al., 2006; Zhang & Alloway, 2006; Krupa, West, Shuler, Laubach, & Nicolelis, 2004). To compare firing patterns across such putative cortical minicolumns, mean ± SEM CCHs of spike activity during go target presentation from pairs of cells simultaneously recorded with straight line (2ab–5ab, 2cd–5cd) versus opposite (2ab–5cd, 2cd–5ab) vertical orientations on the MEA were compared. Figure 5D shows the mean ± SEM CCHs for cell pairs with the straight line vertical orientations (2ab–5ab, red bars) for cells in Layer 2/3 (n = 35) and Layer 5 (n = 41) versus CCHs for the same Layer 2/3 cells (2ab) paired with Layer 5 cells (n = 44) recorded simultaneously at sites with the opposite (5cd, blue bars) vertical orientation. It is clear that pairs of Layer 2/3 and Layer 5 cells recorded from MEA pads with the same (straight line) vertical orientation showed more synchronized firing in terms of higher firing probabilities than pairs recorded from sites on the MEA with the opposite vertical orientations (i.e., nonvertical orientations), F(1, 3356) = 31.2, p < .001. However, it is also apparent from Figure 5D that cells recorded at sites 5cd showed no significant correlation with the spikes of cells recorded at locations 2ab during go target presentation while the animals performed the task. Importantly, this lack of synchronized firing between 2ab and 5cd sites (blue bars in Figure 5D) was related specifically to the different vertical orientations of the cell pairs and not the inability of cells recorded at 5cd sites to exhibit synchronized firing because the CCHs shown in Figure 5C for MEA recording sites 2cd–5cd included some of the Layer 5 cells tested in Figure 5D.
Frontal Cortical Cell Firing: Go Response
Neuronal activity in prefrontal cortical cells before the movement initiation has been hypothesized to be related to movement planning and preparation (Tsujimoto, Genovesio, & Wise, 2008; Genovesio, Brasted, & Wise, 2006; Hoshi & Tanji, 2000; Boussaoud & Wise, 1993). Figure 6A shows two FCx cells recorded in Layer 2/3 (MEA recording site 2c) and Layer 5 (probe site 5d) with enhanced firing associated with limb movement before and during placement of the cursor in the image (red line at 0 sec) after go target presentation (red dots in the raster). In contrast to the Layer 2/3 neuron, the Layer 5 cell exhibited an increase in firing before and after completion of the go response (red line at 0 sec). Figure 6B shows the different mean ± SEM firing patterns of all cells recorded at MEA recording sites 2a–d (upper graph) in Layer 2/3 (n = 38) and sites 5a–d (lower graph) in Layer 5 (n = 43) during the time epoch between go target presentation and occurrence of the go response (red line at 0 sec). Layer 2/3 cells showed a significant peak increases in firing 0.5 sec before the go response relative to mean baseline rate prior to go target presentation; Layer 2/3 GoR, 7.69 ± 1.28 Hz versus baseline, 4.58 ± 0.27 Hz, F(4, 1688) = 4.54, p < .001. Neurons recorded in Layer 5 showed a significant mean firing peak 0.8 sec before the go response (Layer 5 GoR, 7.29 ± 0.8 Hz vs. baseline GoR, 4.97 ± 0.22 Hz), F(4, 2749) = 4.52, p < .001, n = 43 cells, followed by a brief decrease in firing rate at the go response (red line 0.0 sec) then a rapid secondary increase to a secondary peak 0.5 sec after the response (Layer 5 post-GoR, 7.52 ± 0.70 Hz), F(4, 2749) = 5.13, p < .001. The firing probability (mean ± SEM) between pairs of cells in Layer 2/3 and Layer 5 during the go response is shown in the CCHs in Figure 6C. Synchronized firing between pairs of cells with the same vertical orientation (n = 21) on the MEA (2ab–5ab, 2cd–5cd) was much greater than for cell pairs (n = 12) with the opposite (2ab–5cd, 2cd–5ab) vertical orientation, F(1, 2117) = 27.7, p < .001.
FCx Cell Firing: No-Go Stimulus Presentation
Figure 7A shows FCx activity from a Layer 2/3 cell and a Layer 5 cell in response to presentation of the no-go stimulus image during single sessions of the go/no-go task. The differential firing patterns shown in the raster and PEH displays are similar to that shown for go target presentation (Figure 4A). Figure 7B depicts the mean ± SEM firing rates of all recorded Layer 2/3 (n = 41) and Layer 5 (n = 32) cells to presentation of the no-go stimulus. Layer 2/3 cells exhibited a pronounced peak in mean firing rate immediately after (+0.25 sec) presentation (0 sec red line) relative to the prior baseline rate; Layer 2/3 No-goS, 9.13 ± 1.14 Hz versus baseline no-go stimulus, 4.04 ± 0.21 Hz, F(4, 1544) = 5.14, p < .001. The mean firing increase of Layer 5 cells to presentation of the no-go stimulus was also significant (Layer 5 No-goS: 6.07 ± 1.21 Hz), F(4, 1338) = 3.94, p < .01; however, the peak was much smaller (Figure 7B lower) than the Layer 2/3 increase, F(1, 2883) = 7.53, p < .01. Figure 7C shows mean ± SEM CCHs for pairs of Layer 2/3 and Layer 5 cells with the same (2ab–5ab or 2cd–5cd) and opposite (2ab–5cd or 2cd–5ab) MEA site vertical orientations during (±2.0 sec) no-go stimulus presentation. Synchronous firing was only observed in pairs of cells with the same vertical orientations (2ab–5ab or 2cd–5cd) as previously shown for other task-related events (Figures 5D and 6C). After the no-go stimulus presentation, the mean ± SEM activity of the FCx cells shown in Figure 7B was assessed for the remaining 3.5 sec of the no-go timeout interval. During this interval, behavioral responses were suppressed, and the juice reward presented when the interval timed out (red line at 5.0 sec; Figure 7A). Both Layer 2/3 cells and Layer 5 cells showed erratic smaller positive/negative fluctuations in mean firing rate for the remainder of the interval; however, there were no significant changes from baseline firing rate or differences in mean rate between layers (Figure 7B, lower) during this 3.5-sec period.
FS Frontal Cortical Cells
Another class of FCx neurons shown to participate in laminar processing is FS cells or interneurons that populate both Layer 2/3 and Layer 5 (Weiler et al., 2008; Derdikman et al., 2006; Zhang & Alloway, 2006; Shepherd & Svoboda, 2005; Krupa et al., 2004; Mountcastle, 2003). Figure 8 shows that FS cells recorded in Layer 2/3 (upper, n = 22) and in Layer 5 (lower, n = 39) during start ring presentation exhibited much higher baseline (−2.0 sec) mean firing rates (Layer 2/3 FS, 8.13 ± 0.37 Hz; Layer 5 FS, 15.12 ± 0.29 Hz) than RS neurons (Figures 3–7). The FS neurons recorded in both layers showed significant increases in mean ± SEM firing rate within 1.0 sec of start ring presentation (Layer 2/3 FS-SR, 12.47 ± 2.11 Hz vs. baseline FS, 8.13 ± 0.37 Hz, F(4, 3388) = 4.09, p < .01; Layer 5 peak FS-SR, 21.47 ± 2.83 Hz. versus baseline FS, 14.62 ± 0.29 Hz, F(4, 3014) = 5.19, p < .001) in spite of high baseline firing rates (Figure 8B). CCHs of mean ± SEM firing probabilities for pairs of FS cells detected on the same (2ab–5ab or 2cd–5cd) or opposite (2ab–5cd or 2cd–5ab) vertical sites on the MEA showed exceedingly high synchronized firing for cell pairs with the same vertical orientation versus pairs of cells with the opposite orientation, F(1, 1916) = 31.1, p<.001,onthe MEA (Figure 8C).
DISCUSSION
The current study examined the activity of neurons recorded simultaneously in the supragranular (Layer 2/3) and infragranular (Layer 5) lamina of FCx in NHPs performing a simple go/no-go task. The findings provide unique assessments of the neural correlates of sensory processing during the task and firing associated with motor responses to task-specific signals of RS cells in these two layers in terms of specificity and degree of event-related activation as well as synchronization of cell firing across layers.
Layer-specific Frontal Cortical Activity Recorded with Conformal Electrodes
Implementation of the newly applied MEA technology described here (Hampson, Coates, et al., 2004; Moxon et al., 2004; Burmeister, Moxon, & Gerhardt, 2000) allowed simultaneous recording from neurons at two different anatomically and physiologically distinct recording sites in the sensorimotor areas of FCx. The conformal design of the MEA allowed identification and designation of activity within a dual laminar arrangement of orthogonal electrode recording sites separated by 1350 µm, the precise distance between Layer 2/3 and Layer 5 in the FCx Arcuate sulcus (Figure 1). This recording arrangement allowed unique comparisons of the simultaneous activity of cells from (i) each separate cortical layer and (ii) within the same layer but at adjacent physically separate locations on the MEA (Figure 2). The differential firing to task-related events of identified FCx cells in both Layer 2/3 and Layer 5 is described in detail in Figures 3–7 in terms of individual and mean discharge patterns of simultaneously recorded neurons in each layer during either go or no-go trials.
Differential Involvement of Neurons in Layer 2/3 and Layer 5 in Task-related Events
Figure 9 presents a composite firing profile of the average firing pattern across all cells in each cell layer recorded continuously over the entire duration of either a go or a no-go trial. The discharge patterns of the FCx cell populations summed across all MEA recording sites in each cortical layer show that most RS (and FS; Figure 8) cells increased firing significantly during the start ring which initiated the trial. However, Figure 9 shows that subsequent average firing rate in the overall cell population of Layer 2/3 cells during go and no-go target presentations (Figures 3–7) was consistently more pronounced than the increase in firing in the Layer 5 cell population, which was more increased after the go response, suggesting that stimulus events depicting trial information were a primary factor differentiating firing between layers. Presumably, during presentation of task stimuli (i.e., start ring or go/no-go target images), sensory information (visual spatial, color, shape, and brightness) was processed and conveyed to neurons in Layer 2/3 via ascending fibers from visual cortex (Weiler et al., 2008; Ferrera, Cohen, & Lee, 1999; Kritzer & Goldman-Rakic, 1995). In contrast, Figure 9 also shows that the average firing rate during the go response phase of the task was distinctly higher in Layer 5 cells (Figure 9, Response); therefore, layer-specific activity was detected via the unique conformal design of the MEA, which allowed simultaneous recordings of differential firing patterns of cells from both layers.
Firing of FCx Layer 2/3 cells has been suggested to reflect processing of information relevant to the planning of behavioral/motor acts (de Kock & Sakmann, 2009; Nakayama, Yamagata, Tanji, & Hoshi, 2008; Derdikman et al., 2006). The tendency for Layer 2/3 neurons to fire less during the well-trained go response indicates reduced involvement in actual execution of motor acts (i.e., limb movement) compared with Layer 5 cells (Figures 7 and 9). The propensity for Layer 2/3 cells to show more robust firing during go and no-go target presentations could reflect a number of factors such as more extensive horizontal connections allowing integration over a larger part of the receptive field (Gilbert & Wiesel, 1989), integration of spatial location and color information (Ferrera et al., 1999; Rao, Rainer, & Miller, 1997), or sensory motor processing (Fuster, 2001). However, because both trial-specific image presentations (go target and no-go stimuli) produced similar firing differences between layers (Figures 5, 7, and 9), the differential activation could not be due to ensuing task contingencies involving limb movement (go target/response trials) or, alternatively, the suppression of such movements (no-go stimulus/timeout trials).
Columnar Processing of Task-relevant Events between Cortical Layers
In addition to the differential laminar processing of sensory stimuli in Layer 2/3 and Layer 5, a difference was also demonstrated with respect to synchronized firing of pairs FCx RS (and FS) cells with different vertical orientations “across layers” during the same task-related events. This was demonstrated explicitly in CCHs by marked differences in mean firing probabilities of pairs of Layer 2/3 and Layer 5 cells recorded from the same or opposite vertically oriented recording sites on the conformal MEA (Figures 3–8). Figure 10 shows this type of comparison combined for all task-related events to illustrate the fact that pairs of Layer 2/3 and Layer 5 cells that were not aligned in the same vertical orientation across layers (defined by the 40-µm lateral separation of recording sites on the MEA; Figure 1) showed no synchronous firing (noncolumnar), whereas Layer 2/3 and Layer 5 cells recorded at sites with the same vertical orientation (columnar) exhibited a high degree of synchronous firing. Two important factors shown in Figure 10 (columnar) indicate that cells in Layer 5 with the same vertical orientation were synchronized to the firing of Layer 2/3 cells with (i) significantly increased likelihood of discharge ≥1.0 msec relative to each spike occurrence of Layer 2/3 cells and (ii) slightly suppressed firing below background levels at ±1.0 to 2.0 msec indicative of refraction in the some cells. Figure 10 also shows that firing was clustered at 0.0 ± 1.0 msec, indicating possible synchronized common inputs to cells in Layer 2/3 and Layer 5 to activate the column from other sources. These features were not present in mean CCHs of Layer 5 cell activity recorded from opposite vertical recording sites (Figure 10, noncolumnar), although some of the same Layer 5 cells showed synchronized firing with different Layer 2/3 cells recorded at MEA sites with the same vertical orientation—just at a different parallel location (i.e., 2ab vs. 2cd) on the MEA. This result agrees with prior findings in which firing properties in neighboring electrodes within FCx varied somewhat abruptly as would be expected from lateral inhibitory influences in a columnar processing neural substrate (Mountcastle, 1997; Schlaug, Schleicher, & Zilles, 1995) and provides evidence for a functional anatomic substrate made up of cortical minicolumns (Mountcastle, 2003; Kritzer & Goldman-Rakic, 1995; Schlaug et al., 1995). The findings are also supported by prior (Buxhoeveden & Casanova, 2002; Mountcastle, 1997; Peters & Sethares, 1991) and recent (Casanova, Trippe, Tillquist, & Switala, 2009) estimates of the size of cortical minicolumns in NHPs as being less than 40 microns in diameter.
Frontal Cortical Microcircuitry and Sensorimotor Processing
Previous anatomical studies in the pFC of primates (Elston et al., 2006; Rempel-Clower & Barbas, 2000; Melchitzky et al., 1998; Kritzer & Goldman-Rakic, 1995) have provided valuable insight into the intrinsic “laminar” circuit organization of cortical layers, with pyramidal cells targeting long-range horizontal connections to columns with similar functional properties (Mountcastle, 1997; Schlaug et al., 1995). In agreement with previous studies of cortical columnar organization (Weiler et al., 2008; Derdikman et al., 2006; Zhang & Alloway, 2006; Krupa et al., 2004; Jung et al., 1998), functional evidence is provided here for both laminar processing across different cortical layers (Figures 3–9) and parallel columnar processing (Figures 3–8, 10) in subregions, consistent with a highly complex but organized frontal cortical microcircuitry.
Local circuits within and between layers of the cortical column in the FCx have been shown to be critically involved in mediating goal oriented behavior because such circuits receive and integrate convergent sensory inputs (Layer 2/3) and motor systems (Layer 5) for movement planning and reaching (Weiler et al., 2008; Hoshi & Tanji, 2006; Shepherd & Svoboda, 2005; Shipp, 2005; Callaway, 1998; Hirsch, 1995). The coordinated output from infragranular Layer 5 cells (which receive convergent excitatory inputs from Layer 2/3 pyramidal cells as shown in Figures 3–7) presumably transmit signals to other cortical and subcortical targets (Nakayama et al., 2008; Derdikman et al., 2006; Zhang & Alloway, 2006; Zikopoulos & Barbas, 2006; Ohbayashi, Ohki, & Miyashita, 2003), generating planned motor actions and movements (Weiler et al., 2008; Takeda et al., 2004).
The current results demonstrate many of functional “operations” described above in which frontal cortical neurons in both the supragranular and the infragranular layers differentially encoded sensory stimuli relevant to performance of a simple go/no-go task. In addition, firing to task-related events was shown to be encoded between layers by synchronized firing of cell pairs comprising apparent functional “minicolumns” connecting the supragranular and the infragranular layers. This assessment was made possible by use of conformal MEAs designed to sample frontal cortical activity in a manner that would reveal the demonstrated functional columnar organization of FCx. The results provide new insight into the manner in which underlying frontal cortical microcircuitry integrates convergent sensory and motor signals from other brain regions to select and control task-related behavioral response tendencies in primate brain.
Acknowledgments
The authors thank Joshua Long, Joseph Noto, Michael Todd, and Santos Ramirez at the Wake Forest University Medical School and Peter Huettl at the University of Kentucky for their assistance on this Project. This work was supported by NSF EEC-0310723, DARPA N66020, and NIH grants DA06634, DA023573, and DA026487 to S. A. D.
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