Abstract
Prefrontal cortical activity in primate brain plays a critical role in cognitive processes involving working memory and the executive control of behavior. Groups of prefrontal cortical neurons within specified cortical layers along cortical minicolumns differentially generate inter- and intra-laminar firing to process relevant information for goal oriented behavior. However, it is not yet understood how cocaine modulates such differential firing in prefrontal cortical layers. Rhesus macaque nonhuman primates (NHPs) were trained in a visual delayed match-to-sample (DMS) task while the activity of prefrontal cortical neurons (areas 46, 8 and 6) was recorded simultaneously with a custom multielectrode array in cell layers 2/3 and 5. Animals were reinforced with juice for correct responses. The first half of the recording session (control) was conducted following saline injection and in the second half of the same session cocaine was administered. Prefrontal neuron activity with respect to inter- and intra-laminar firing in layers 2/3 and 5 was assessed in the DMS task before and after the injection of cocaine. Results showed that firing rates of both pyramidal cells and interneurons increased on Match phase presentation and the Match Response (MR) in both control and cocaine halves of the session. Differential firing under cocaine vs. control in the Match phase was increased for interneurons but decreased for pyramidal cells. In addition, functional’ interactions between prefrontal pyramidal cells in layer 2/3 and 5 decreased while intra-laminar cross-correlations in both layers increased. These neural recordings demonstrate that prefrontal neurons differentially encode and process information within and between cortical cell layers via cortical columns which is disrupted in a differential manner by cocaine: administration.
Introduction
Cognitive deficits related to drug addiction, aging, attention deficit hyperactivity disorder (ADHD), schizophrenia and autism are characterized by the inability to select correct behavioral responses for the appropriate environmental or task related circumstances (Shallice and Burgess, ; Duncan et al., ; Buxhoeveden and Casanova, ; Buxhoeveden et al., ; Beveridge et al., ; Brennan and Arnsten, ; Dobbs, ; Wang et al., ). A common feature of such cognitive deficits in primate brain is the disruption of neural activity in prefrontal cortex (PFC), namely the precise laminar/columnar organization of neural firing that coordinates cognition and behavior (Mountcastle, ; Rao et al., ; Beveridge et al., ; Weiler et al., ; Opris et al., ). Such cognitive processing can be disrupted by extended exposure to commonly abused drugs, such as cocaine (Opris et al., , ; Deadwyler, ). It is known that prefrontal cortical activity in the primate brain plays a critical role in cognitive processes such as working memory and the executive control of behavior. Groups of prefrontal neurons within specified cortical minicolumns use inter-laminar regular spiking and intra-laminar fast spiking to process relevant information for goal oriented behavior (Kritzer and Goldman-Rakic, ; Constantinidis and Goldman-Rakic, ; Opris et al., , ,, , ; Opris, ; Opris and Casanova, ).
However, what is not known is how a drug like cocaine modulates such micro-anatomical columnar and intra-laminar spiking in prefrontal cortex. Rhesus macaque nonhuman primates (NHPs) were trained in a visual delayed match-to-sample (DMS) task while the activity of prefrontal cortical neurons (areas 46, 8 and 6) was recorded simultaneously with a custom multielectrode array in cell layers 2/3 and 5. In order to test specificity of laminar-columnar firing for correct performance in the task, a known cognitive impairing drug, cocaine, was administered midway through each session which induced a change in task-related mini-columnar processing in the same manner as when errors occurred under normal, nondrug, conditions (Opris et al., ). Results revealed that differential firing in the cocaine vs. control halves of the session increased for interneurons and decreased for pyramidal cells during the Match phase of the task. Interestingly, columnar interactions between pyramidal cells in layer 2/3 and 5 decreased during task performance with cocaine, while intra-laminar cross-correlations between cells with higher firing rates increased. The results demonstrate that prefrontal cortical neurons differentially encode and process information within and between layers in the cortical columns in a manner sensitive to alterations provoked by the addicting drug, cocaine.
Methods
All animal procedures were reviewed and approved by the Institutional Animal Care and Use Committee of Wake Forest University, in accordance with U.S. Department of Agriculture, International Association for the Assessment and Accreditation of Laboratory Animal Care, and National Institutes of Health guidelines.
Rule-Dependent Delayed-Match-to-Sample (DMS) Task
The NHPs utilized as subjects in this study (n = 4 male, weight 5–8 kg) were trained for at least 1 year to perform a well characterized, custom-designed visual delayed-match-to-sample (DMS) task (Hampson et al., , ; Opris et al., , ; Hampson et al., ,) which is shown in Figure 1A. During testing in DMS task, animals were seated in a primate chair with a shelf-counter in front of a display screen (Figure 1A) such that right arm position on the counter top was tracked via a UV-fluorescent reflector affixed to the back of the wrist, which was illuminated with a 15 W UV lamp detected by a small LCD camera positioned 30 cm above the hand. Hand position and movement was digitized and displayed as a bright yellow cursor on the display screen. Trials were initiated by the animal placing the cursor inside a “Start” shape (3” diameter yellow ring or blue square) in the center of the screen (Figure 1A). Then, a trial-unique “Sample” clip-art image is displayed randomly at one of 8 different spatial positions on the screen for 2, 0 s (“Sample Phase”). NHPs were required to place the cursor in the Sample image (Sample Response) to initiate the Delay phase of the task in which the screen was blanked for a random duration of 1–60 s, on any given trial.
Figure 1
Based on the “Start” shape (yellow ring or blue square) the animal was instructed to remember the feature/object (yellow ring) or the spatial location (blue square) of the Sample image. Alter the conclusion of Delay interval is initiated the presentation of the Match phase of the task, in which a screen display of 2–7 trial unique clip-art images, including the Sample image, were displayed simultaneously at separate, randomly selected spatial locations. Placing the cursor into the Sample image during the Match phase constituted the correct “Match Response” which produced a drop of juice delivered via a sipper tube located near the animal’s mouth and blanked the screen. Placement of the cursor into one of the non-match (distracter) images constituted a non-match (error) response and caused the screen to blank without reward delivery and initiated the 10 s inter-trial interval (ITI). All images (sample and distracter) were unique for each trial in sessions of 100–150 trials and were chosen from a 5000 image buffer which was updated with new images every month. All NHP subjects were trained to overall performance levels of 70–75% correct on the above described DMS task parameters. The DMS task was split (Figure 1B) on two parts: (a) the control phase (in which the animal was injected with saline after 30 min); and (b) cocaine phase, following IV injection of cocaine. Behavioral performance in the DMS task (Figure 1A) is shown in Figure 1C.
Surgery
Animals were surgically prepared with cylinders for attachment of a microelectrode manipulator over the specified brain regions of interest. During surgery animals were anesthetized with ketamine (10 mg/kg), then intubated and maintained with isoflurane (1–2% in oxygen 6 l/min). Recording cylinders (Crist Instruments, Hagerstown, MD) were positioned over 20 mm diameter craniotomies for electrode access (Hampson et al.,
Electrophysiological Recording
Electrophysiological procedures and analysis utilized the MAP Spike Sorter by Plexon, Inc (Dallas, TX) for 64 channel simultaneous recordings. Customized conformal designed ceramic multielectrode arrays (MEAs) were manufactured in collaboration with Dr. Greg Gerhardt (Center for Microelectrode Technology—CenMet, Lexington, KY) at the University of Kentucky (50). MEAs consisted of eight etched platinum pads (Figures 1E,F) for recording multiple single neuron activity (Hampson et al.,
Figure 2

Inter-laminar activity recorded from prefrontal cortical neurons (regular spiking pyramidal cells) (A) and (B), and fast spiking interneurons (C) and (D), during DMS task performance. Cocaine administration (0.30, 0.40, 0.60 and 0.90 mg/kg IV) decreased inter-laminar pyramidal cell firing and conversely increased interneuron laminar firing during DMS performance. (A) Raster-PEHs of layers 2/3 and 5 inter-laminar pyramidal cell pair firing at the time of the Match Response (MR) during the Match phase (a) in the initial control (saline IV) half of the session (blue); and (b) following cocaine administration (red) midway through the session (Figure 1B). (B) Average PEHs for trials in the control (upper) vs. cocaine half of sessions (lower) summed over all inter-laminar layer 2/3 (blue) and layer 5 (red) PFC cell pairs (n = 30) in sessions in which cocaine was administered, as shown in Figure 1B. Dark blue and red histograms on the right show average distribution of MR latencies relative to Match phase onset (M, 0.0 s) for control and cocaine trials respectively, within the same sessions. (C) Raster-PEHs show firing of layer 2/3 and 5 interneurons in the Match phase during the control (saline) half of the session (blue) vs. cocaine administration midway through the session (red). (D) Average PEHs for control (upper) vs. cocaine trials (lower) summed over all fast spiking interneurons (n = 30) in layer 2/3 (blue) and layer 5 (red) recorded in the same sessions. (**p < 0.01, ANOVA). Panels (A) and (B) are adapted with permission from Opris et al. (
Data Analysis
Task performance was determined for each animal (n = 4) as % of correct trials within and across sessions related to simultaneous recordings of MEA conformal single neuron firings on individual trials during Match phase image selection in the task (Hampson et al.,
Figure 3

Spatial tuning. (A) Match phase response firing of a layer 2/3 PFC cell firing during the saline control (blue) and cocaine (red) administration segments of daily DMS sessions. (B) Multigram spatial tuning plot (reference here) shown as multiple PEHs (multigram) for spatial tuning of target selection (diagram in center) for two PFC layer 2/3 cell pairs during control (blue) and cocaine (red) halves of the daily session. The spatial tuning plot in the middle displays Match phase mean firing rates (shaded areas in PEHs) along each radial axis corresponding to movement of the cursor into each of the 8 screen image positions from the screen center summed over all trials in a single session. The spatial “bias” for minicolumn firing (layers 2/3 and 5 cells) is indicated by an increased firing rate for target selection in one position (i.e., left 180° position) vs. all others during the session. (C) The comparison of spatial tuning across all PFC neurons indicates decreased spatial preference for minicolumnar firing (layers 2/3 and 5 cells) after cocaine administration in the same session. **p < 0.001, ANOVA.
This study compares the rapid spiking of interneurons across prefrontal cortical layers with the previous published regular spiking activity in pyramidal cells under cocaine vs. control (Opris et al.,
Differences in cross-correlation were assessed using standardized distributions of coefficients extracted from firing of inter-laminar cell pairs under different conditions related to performance in the Match Phase (Figure 2). Mean cross-correlation histograms (CCHs) were calculated and compared relative to normalized mean coefficients (Opris et al.,
Figure 4

Cocaine administration effect on behavioral and neural correlates of DMS performance. (A) Single session example of the change in cumulative distribution of correct and error trials during control (saline) vs. cocaine segments of the session. Cocaine (0.40 mg/kg) was administered after trial #62 of the session, which reset the cumulative trial plot (trial #62) for the remaining 61 trials in the cocaine half of the session. It is clear that cocaine produced a marked change in the cumulative number of correct (red) and error (blue) trials across the cocaine half of the session (last 61 trials) compared to the prior saline half of the session where the cumulative error/correct trial distribution (green and yellow) was similar. (B) Mean percent correct performance across all animals (n = 4) as a function of number of distracter images (1–6) in the Match phase during control vs. cocaine halves of the same session (n = 19). **F(1,96) > 11.22, p < 0.001; *F(1,96) = 10.07, p < 0.01; +F(1,96) = 3.87, p < 0.05. (C,D) Scatter plots of normalized cross-correlation coefficients from inter-laminar pyramidal cell pairs (C) and interneurons (D). Insets show opposite variation of the mean cross-correlation histograms CCHs for the same inter-laminar/interneuron cell pairs and in the neural firing in the two subsets of data. Panels (A), (B) and (C) are adapted with permission from Opris et al. (
Tuning Plots of Prefrontal Cortical Cell Firing
For each inter-laminar cell pair (layer 2/3 and 5) firing rate on the same trial type (control, cocaine) was plotted with respect to the location of the matching image on the screen, in the Match phase (Figure 3). Directionality was assigned according to the 8 positions on the screen with reference to placement of the cursor providing angular directions corresponding to the location of the match image around the periphery of the screen, yielding the following degree movement directions from center of screen: 0° (directly lateral), 45°, 90°, 135°, 180°, 225°, 270°, 315° and 360° (Rao et al.,
Assessment of Cortical layer and Minicolumn Activity
The conformal MEA (model W3) probe (Figure 1E) was specially designed such that the two sets of recording pads could record simultaneous activity from neurons separated by 1300 μm, which given its orientation of insertion into PFC (dorsal premotor gyrus in area 6, stereotactic coordinates AP:25 and ML:12) constituted columnar firing of cells in infra-granular layer 5 and supra-granular layer 2/3 (Hampson et al.,
Cocaine Administration
Animals were trained to perform the task with IV saline injections into the saphenous vein of the left leg through the vascular access port prior to and midway through DMS testing sessions. For conditions in which cocaine was administered, midsession saline injections were replaced with IV injection of cocaine (0.30, 0.40, 0.60 and 0.90 mg/kg IV), via the same route (Opris et al.,
Results
Four NHPs performed the delayed-match-to-sample (DMS) task (Opris et al.,
Opposite Trends in Prefrontal Cortical Firing Following Cocaine Administration
In prior investigations (Opris et al.,
Figure 2C,D show intra-laminar fast spiking of prefrontal interneurons (Figures 2C,D) recorded in the same supra- and infra-granular layers. Figure 2C shows firing in raster/PEHs for an inter-laminar pair of PFC interneurons (layer 2/3 upper, layer 5 lower), recorded in the first half of a DMS session (Control) followed by activity assessed in the second half after cocaine was administered (IV) at mid-session (Figure 2C, cocaine). Administration of cocaine produced an increase in Match phase firing of layer 2/3 interneurons (Z score = 6.36, p < 0.001) but not layer 5 cells (Z score = 1.74, p > 0.05, n.s.) in the second half of the session compared to firing of the same cell pair in the control (saline injection) first half of the session (Figure 2C). The effect of cocaine over all layer 2/3 cell pairs (n = 30) on mean firing in the Match phase is shown in Figure 2D as a significant decrease in activity (F(1,958) = 7.12, p < 0.001) relative to the first (control) half of the same session. However, the mean firing rate of all simultaneously recorded layer 5 cells was not significantly altered during the same sessions (F(1,958) = 1.83, p > 0.05, n.s.).
Cocaine Altered Spatial Tuning of Prefrontal Cortical Cell Firing
Figure 3A shows PEHs of firing of a single layer 2/3 prefrontal cell recorded during saline control (blue) and cocaine (red) halves of the same session which exhibited similar but reduced patterns in firing after cocaine injection for the 8 different locations of target presentation on the screen (Figure 3B). This type of multigram display reflected “tuning biases” or higher firing rates in one vs. other screen locations, which were the same for both cells in a mini-columnar pair (Figure 3B, right; 0° direction). Figure 3C shows a direct comparison of overall firing preference in the control vs. cocaine phases clearly indicating a reduced tuning on cocaine vs. control trials for PFC (n = 59) cells (F(1,589) = 11.93; p < 0.001, ANOVA).
Cocaine Alters Inter-Laminar and Intra-Laminar Correlated Activity
The effects of cocaine on prefrontal cortical columnar processing are reflected by the decrease in DMS task performance. Figure 4A shows, consistent with prior findings, changes in performance in the same sessions (Figure 2A) on a trial-by-trial basis via injection midway through the session. It is clear that as the number of trials progressed (bifurcation) the cummulative distribution of error and correct trials in the first half of the session (Control, trials 1–61) changed after cocaine administration (trial #61) to cumulation of more errors relative to correct trials in the second half of the same session. Figure 4B illustrates the effects of cocaine on task performance with respect to the decrease (F(1,96) = 12.33, p < 0.001) in percent correct responses as a function of the increase in the number of distracter images (1–6) in the Match phase during target selection (Opris and Bruce,
The minicolumnar mechanism of cocaine induced alteration is illustrated in Figure 5A for pyramidal cells as a cocaine-induced decreased columnar transmission between layer 2/3 and 5 cells, which under normal (nondrug) conditions exhibit high levels of firing synchrony as shown in Figure 4C. Consistent with such inter-laminar decrease in correlated firing is the demonstrated increase in the intra-laminar interneuron firing (Figure 5B).
Figure 5

Schematic diagram for columnar laminar microcircuit interactions illustrating possible underlying basis for the effects of cocaine administration which produced a partial uncoupling (A) of inter-laminar correlated firing between cells in PFC layer 2/3 and layer 5 as shown in Figure 4C, and an increase (B) in firing interneurons in prefrontal cell layers (in Figure 4D).
Discussion
Extensive prior investigation of cognitive processing have shown that activation of PFC is altered by many factors (Opris et al.,
Alteration in Task-Related Prefrontal Cortical Cell Firing Following Cocaine Administration
Consistent with this notion, PFC neural firing was investigated recently after systemic injections of cocaine in animals performing this DMS task and showed (a) decreased activity in pyramidal cells and (b) increase activity in interneurons, across all trials, which increased the chance of error and reduced performance accuracy (Hampson et al.,
Although cocaine binds to several sites in the brain, the biochemical receptor mechanism or mechanisms associated with its dependence producing properties are unknown. It is shown here that the potencies of cocaine-like drugs in self-administration studies (Ritz et al.,
Cocaine Induced Disruption of Cortical Columnar Processing
As described in a prior study of the effects of cocaine (Opris et al.,
Differential Dopaminergic Modulation in Prefrontal Cortex
Dopaminergic (DA) receptors D1 and D2 are found on both pyramidal cells and interneurons in prefrontal cortex (Williams and Goldman-Rakic,
These neural recordings demonstrate that prefrontal neurons differentially encode and process information within and between cortical cell layers via cortical columns which are disrupted in a differential manner by cocaine administration. Such cocaine driven disruption may be explained by a selective reduction of the excitatory synaptic inputs to pyramidal neurons by a selective D1 receptor (Bourne,
Conclusion
Our unique results provide new insight into the critical role of cortical microcircuits involved in cognition that are altered by drug addiction. These findings clearly demonstrate the susceptibility of cortical information processing to agents that provoke addiction and therefore provide a basis for reversal of these cognitive effects with other agents that (a) promote interlaminar transmission or (b) reduce interneuron firing provoked by an addictive drug like cocaine.
Statements
Funding
Acknowledgments
We thank Joshua Long, Joseph Noto, Brian Parish, Joshua Fuqua, Christina Dyson, and Shahina Kozhisseri for their assistance on this project. This work was supported by National Institutes of Health Grants DA06634, DA023573, DA026487 and by Defense Advanced Research Projects Agency (DARPA) contract N66001–09-C-2089 to SAD.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
References
1
BeveridgeT. J.GillK. E.HanlonC. A.PorrinoL. J. (2008). Review. Parallel studies of cocaine-related neural and cognitive impairment in humans and monkeys. Philos. Trans. R. Soc. Lond. B Biol. Sci.363, 3257–3266. 10.1098/rstb.2008.0102
2
BourneJ. A. (2001). SCH 23390: the first selective dopamine D1-like receptor antagonist. CNS Drug Rev.7, 399–414. 10.1111/j.1527-3458.2001.tb00207.x
3
BradberryC. W. (2000). Acute and chronic dopamine dynamics in a nonhuman primate model of recreational cocaine use. J. Neurosci.20, 7109–7115.
4
BrennanA. R.ArnstenA. F. (2008). Neuronal mechanisms underlying attention deficit hyperactivity disorder: the influence of arousal on prefrontal cortical function. Ann. N Y Acad. Sci.1129, 236–245. 10.1196/annals.1417.007
5
BuxhoevedenD. P.CasanovaM. F. (2002). The minicolumn hypothesis in neuroscience. Brain125, 935–951. 10.1093/brain/awf110
6
BuxhoevedenD. P.SemendeferiK.BuckwalterJ.SchenkerN.SwitzerR.CourchesneE. (2006). Reduced minicolumns in the frontal cortex of patients with autism. Neuropathol. Appl. Neurobiol.32, 483–491. 10.1111/j.1365-2990.2006.00745.x
7
CeladaP.PuigM. V.ArtigasF. (2013). Serotonin modulation of cortical neurons and networks. Front. Integr. Neurosci.7:25. 10.3389/fnint.2013.00025
8
ConstantinidisC.Goldman-RakicP. S. (2002). Correlated discharges among putative pyramidal neurons and interneurons in the primate prefrontal cortex. J. Neurophysiol.88, 3487–3497. 10.1152/jn.00188.2002
9
DeadwylerS. A. (2010). Electrophysiological correlates of abused drugs: relation to natural rewards. Ann. N Y Acad. Sci.1187, 140–147. 10.1111/j.1749-6632.2009.05155.x
10
DeadwylerS. A.PorrinoL.SiegelJ. M.HampsonR. E. (2007). Systemic and nasal delivery of orexin-A (Hypocretin-1) reduces the effects of sleep deprivation on cognitive performance in nonhuman primates. J. Neurosci.27, 14239–14247. 10.1523/jneurosci.3878-07.2007
11
DobbsD. (2010). Schizophrenia: the making of a troubled mind. Nature468, 154–156. 10.1038/468154a
12
DuncanJ.JohnsonR.SwalesM.FreerC. (1997). Frontal lobe deficits after head injury: unity and diversity of function. Cogn. Neuropsychol.14, 713–741. 10.1080/026432997381420
13
FelsenG.ShenY. S.YaoH.SporG.LiC.DanY. (2002). Dynamic modification of cortical orientation tuning mediated by recurrent connections. Neuron36, 945–954. 10.1016/s0896-6273(02)01011-5
14
FiberJ. M.EtgenA. M. (1998). Evidence that GABA augmentation of norepinephrine release is mediated by interneurons. Brain Res.790, 329–333. 10.1016/s0006-8993(98)00101-2
15
GulledgeT.JaffeD. B. (1998). Dopamine decreases the excitability of layer V pyramidal cells in the rat prefrontal cortex. J. Neurosci.18, 9139–9151.
16
HampsonR. E.CoatesT. D.Jr.GerhardtG. A.DeadwylerS. A. (2004). “Ceramic-based micro-electrode neuronal recordings in the rat and monkey,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and BIology Society (EMBS) (Lexington, KY) 25, 3700–3703.
17
HampsonR. E.GerhardtG. A.MarmarelisV. Z.SongD.OprisI.SantosL. M.et al. (2012a). Facilitation and restoration of cognitive function in primate prefrontal cortex by a neuroprosthesis that utilizes minicolumn-specific neural firing. J. Neural. Eng.9:056012. 10.1088/1741-2560/9/5/056012
18
HampsonR. E.OprisI.DeadwylerS. A. (2010). Fast pupil dilation, cognitive workload and frontal neural activity: pupillometry in nonhuman primates. Behav. Brain Res.212, 1–11. 10.1016/j.bbr.2010.03.011
19
HampsonR. E.OprisI.SongD.GerhardtG. A.ShinD.MarmarelisV. Z.et al. (2012b). Neural representation of cognitive processing in prefrontal cortex of nonhuman primates during a delayed match-to-sample task. Conf. Proc. IEEE Eng. Med. Biol. Soc.2559–2560.
20
HampsonR. E.PorrinoL. J.OprisI.StanfordT.DeadwylerS. A. (2011). Effects of cocaine rewards on neural representations of cognitive demand in nonhuman primates. Psychopharmacology (Berl)213, 105–118. 10.1007/s00213-010-2017-2
21
HansenB.DragoiV. (2011). Adaptation-induced synchronization in laminar cortical circuits. Proc. Natl. Acad. Sci. U S A108, 10720–10725. 10.1073/pnas.1102017108
22
KritzerM. F.Goldman-RakicP. S. (1995). Intrinsic circuit organization of the major layers and sublayers of the dorsolateral prefrontal cortex in the rhesus monkey. J. Comp. Neurol.359, 131–143. 10.1002/cne.903590109
23
LidowM. S.WangF.CaoY.Goldman-RakicP. S. (1998). Layer V neurons bear the majority of mRNAs encoding the five distinct dopamine receptor subtypes in the primate prefrontal cortex. Synapse28, 10–20. 10.1002/(sici)1098-2396(199801)28:1<10::aid-syn2>3.0.co;2-f
24
MoJ.SchroederC. E.DingM. (2011). Attentional modulation of alpha oscillations in macaque inferotemporal cortex. J. Neurosci.31, 878–882. 10.1523/jneurosci.5295-10.2011
25
MountcastleV. B. (1997). The columnar organization of the neocortex. Brain120, 701–722. 10.1093/brain/120.4.701
26
NestlerE. J. (2004). Historical review: molecular and cellular mechanisms of opiate and cocaine addiction. Trends Pharmacol. Sci.25, 210–218. 10.1016/j.tips.2004.02.005
27
NoudoostB.MooreT. (2011). Control of visual cortical signals by prefrontal Dopamine. Nature474, 372–375. 10.1038/nature09995
28
OprisI. (2013). Inter-laminar microcircuits across the neocortex: repair and augmentation. Front. Syst. Neurosci.7:80. 10.3389/fnsys.2013.00080
29
OprisI.BarboricaA.FerreraV. P. (2005). Microstimulation of dorsolateral prefrontal cortex biases saccade target selection. J. Cogn. Neurosci.17, 893–904. 10.1162/0898929054021120
30
OprisI.BruceC. J. (2005). Neural circuitry of judgment and decision mechanisms. Brain Res. Rev.48, 509–526. 10.1016/j.brainresrev.2004.11.001
31
OprisI.CasanovaM. F. (2014). Prefrontal cortical minicolumn: from executive control to disrupted cognitive processing. Brain137, 1863–1875. 10.1093/brain/awt359
32
OprisI.FuquaJ. L.HuettlP.GerhardtG. A.BergerT. W.HampsonR. E.et al. (2012b). Closing the loop in primate prefrontal cortex: inter-laminar processing. Front. Neural Circuits6:88. 10.3389/fncir.2012.00088
33
OprisI.GerhardtG. A.HampsonR. E.DeadwylerS. A. (2014). Prefrontal cortical recordings with biomorphic MEAs reveals complex columnar-laminar microcircuits for BMI implementation. J. Neurosci. Methods244, 104–113. 10.1016/j.jneumeth.2014.05.029
34
OprisI.HampsonR. E.DeadwylerS. A. (2009). The encoding of cocaine vs. natural rewards in the striatum of nonhuman primates: categories with different activations. Neuroscience163, 40–54. 10.1016/j.neuroscience.2009.06.002
35
OprisI.HampsonR. E.GerhardtG. A.BergerT. W.DeadwylerS. A. (2012a). Columnar processing in primate prefrontal cortex: evidence for executive control microcircuits. J. Cogn. Neurosci.24, 2334–2347. 10.1162/jocn_a_00307
36
OprisI.HampsonR. E.StanfordT. R.GerhardtG. A.DeadwylerS. A. (2011). Neural activity in frontal cortical cell layers: evidence for columnar sensorimotor processing. J. Cogn. Neurosci.23, 1507–1521. 10.1162/jocn.2010.21534
37
OprisI.SantosL. M.SongD.BergerT. W.GerhardtG. A.HampsonR. E.et al. (2013). Prefrontal cortical microcircuits bind perception to executive control. Sci. Rep.3:2285. 10.1038/srep02285
38
PorrinoL. J.DaunaisJ. B.RogersG. A.HampsonR. E.DeadwylerS. A. (2005). Facilitation of task performance and removal of the effects of sleep deprivation by an ampakine (CX717) in nonhuman primates. PLoS Biol.3:e299. 10.1371/journal.pbio.0030299
39
PorrinoL. J.HampsonR. E.OprisI.DeadwylerS. A. (2013). Acute cocaine induced deficits in cognitive performance in rhesus macaque monkeys treated with baclofen. Psychopharmacology (Berl)225, 105–114. 10.1007/s00213-012-2798-6
40
RamosB. P.ArnstenA. F. (2007). Adrenergic pharmacology and cognition: focus on the prefrontal cortex. Pharmacol. Ther.113, 523–536. 10.1016/j.pharmthera.2006.11.006
41
RaoS. G.WilliamsG. V.Goldman-RakicP. S. (1999). Isodirectional tuning of adjacent interneurons and pyramidal cells during working memory: evidence for microcolumnar organization in PFC. J. Neurophysiol.81, 1903–1916.
42
RebecG. V.SunW. (2005). Neuronal substrates of relapse to cocaine-seeking behavior: role of prefrontal cortex. J. Exp. Anal. Behav.84, 653–666. 10.1901/jeab.2005.105-04
43
RitzM. C.LambR. J.GoldbergS. R.KuharM. J. (1987). Cocaine receptors on dopamine transporters are related to self-administration of cocaine. Science237, 1219–1223. 10.1126/science.2820058
44
RobbinsT. W.ArnstenA. F. (2009). The neuropsychopharmacology of fronto-executive function: monoaminergic modulation. Annu. Rev. Neurosci.32, 267–287. 10.1146/annurev.neuro.051508.135535
45
SantosL. M.OprisI.HampsonR. E.GodwinD. W.GerhardtG. A.DeadwylerS. A. (2014). Functional dynamics of primate cortico-striatal networks during volitional movements. Front. Syst. Neurosci.8:27. 10.3389/fnsys.2014.00027
46
ShalliceT.BurgessP. W. (1991). Deficits in strategy application following frontal lobe damage in man. Brain114, 727–741. 10.1093/brain/114.2.727
47
StuberG. D.RoitmanM. F.PhillipsP. E.CarelliR. M.WightmanR. M. (2005). Rapid dopamine signaling in the nucleus accumbens during contingent and noncontingent cocaine administration. Neuropsychopharmacology30, 853–863. 10.1038/sj.npp.1300619
48
TakeuchiD.HirabayashiT.TamuraK.MiyashitaY. (2011). Reversal of interlaminar signal between sensory and memory processing in monkey temporal cortex. Science331, 1443–1447. 10.1126/science.1199967
49
TomasiD.VolkowN. D.WangR.CarrilloJ. H.MaloneyT.Alia-KleinN.et al. (2010). Disrupted functional connectivity with dopaminergic midbrain in cocaine abusers. PLoS One5:e10815. 10.1371/journal.pone.0010815
50
UrbanN. N.González-BurgosG.HenzeD. A.LewisD. A.BarrionuevoG. (2002). Selective reduction by dopamine of excitatory synaptic inputs to pyramidal neurons in primate prefrontal cortex. J. Physiol.539, 707–712. 10.1113/jphysiol.2001.015024
51
VijayraghavanS.WangM.BirnbaumS. G.WilliamsG. V.ArnstenA. F. (2007). Inverted-U dopamine D1 receptor actions on prefrontal neurons engaged in working memory. Nat. Neurosci.10, 376–384. 10.1038/nn1846
52
VolkowN. D.WangG. J.MaY.FowlerJ. S.WongC.DingY. S.et al. (2005). Activation of orbital and medial prefrontal cortex by methylphenidate in cocaine-addicted subjects but not in controls: rlevance to addiction. J. Neurosci.25, 3932–3939. 10.1523/jneurosci.0433-05.2005
53
WangM.GamoN. J.YangY.JinL. E.WangX. J.LaubachM.et al. (2011). Neuronal basis of age-related working memory decline. Nature476, 210–213. 10.1038/nature10243
54
WeilerN.WoodL.YuJ.SollaS. A.ShepherdG. M. (2008). Top-down laminar organization of the excitatory network in motor cortex. Nat. Neurosci.11, 360–366. 10.1038/nn2049
55
WilliamsG. V.Goldman-RakicP. S. (1995). Modulation of memory fields by dopamine D1 receptors in prefrontal cortex. Nature376, 572–575. 10.1038/376572a0
Summary
Keywords
prefrontal cortex, columnar processing, pyramidal cell, interneuron, executive control, nonhuman primates, cocaine, target selection
Citation
Opris I, Gerhardt GA, Hampson RE and Deadwyler SA (2015) Disruption of columnar and laminar cognitive processing in primate prefrontal cortex following cocaine exposure. Front. Syst. Neurosci. 9:79. doi: 10.3389/fnsys.2015.00079
Received
08 February 2015
Accepted
06 May 2015
Published
29 May 2015
Volume
9 - 2015
Edited by
Chris John Tinsley, Nottingham Trent University, UK
Reviewed by
Yoshio Sakurai, Doshisha University, Graduate School of Brain Science, Japan; Mazyar Fallah, York University, Canada
Copyright
© 2015 Opris, Gerhardt, Hampson and Deadwyler.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Ioan Opris, Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Medical Center Blvd, Winston-Salem, 27057, NC, USA ioanopris.phd@gmail.com
Disclaimer
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