- Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA, USA
The neocortex or six layer cortex consists of at least 52 cytoarchitectonically distinct areas in humans, and similar areas can be distinguished in rodents. Each of these areas has a defining set of extrinsic connections, identifiable functional roles, a distinct laminar arrangement, etc. Thus, neocortex is extensively subdivided into areas of anatomical and functional specialization, but less is known about the specialization of cellular and network physiology across areas. The motor cortex appears to have a distinct propensity to oscillate in the 7–14 Hz frequency range. Augmenting responses, normal mu and beta oscillations, and abnormal oscillations or after discharges caused by enhancing excitation or suppressing inhibition are all expressed around this frequency range. The substrate for this activity may be an excitatory network that is unique to the motor cortex or that is more strongly suppressed in other areas, such as somatosensory cortex. Interestingly, augmenting responses are dependent on behavioral state. They are abolished during behavioral arousal. Here, I briefly review this evidence.
Motor Cortex is Morphologically Distinct
The location, general organization, and cytoarchitectural correlates of the principal fields of the rat somatosensory and motor cortex have been established with anatomical and electrophysiological techniques. The primary motor cortex, identified as the region of cortex where intracortical stimulation produces movements at the lowest thresholds, occupies two cytoarchitectonic fields. The majority of motor cortex coincides with a distinct frontal agranular area called the lateral agranular field that represents the head including the whiskers, the trunk, and part of the forelimb (Hall and Lindholm, 1974; Donoghue and Wise, 1982). The remainder of motor cortex is contained in the rostral part of the granular parietal cortex. This part of the primary motor cortex overlaps with the somatosensory cortex and contains the representation of the hindlimb and part of the forelimb. The primary somatosensory cortex lies within the parietal cortex and has two subdivisions. One subdivision contains the representation of cutaneous receptors and coincides with cytoarchitectonically distinct areas that are marked by their densely granular layer IV. Each of these granule cell aggregates contains the representation of cutaneous inputs from a particular region of the body such as the forelimb, hindlimb, and whiskers (barrel cortex). Surrounding the granular fields is a second subdivision termed the dysgranular field, which has a thin layer IV and cells respond poorly to light tactile stimuli (Welker, 1971, 1976).
Despite the efforts to conceive a canonical cortical circuit (Douglas et al., 1995), the reality is that neocortical areas are morphologically, physiologically, and consequently functionally distinct (Brodmann, 1905; Zilles, 1985; Creutzfeldt and Creutzfeldt, 1993; Mountcastle, 1998). At the laminar, cellular, and synaptic level the motor (mostly agranular) and somatosensory (mostly granular) areas are quite different. In particular, the motor cortex contains a very large layer V and an almost inexistent layer IV, while the opposite is the case for the somatosensory cortex. Most if not all the excitatory cells in motor cortex are pyramidal cells, and the largest of these are encountered in layer V with apical dendrites that reach into layer I (DeFelipe and Farinas, 1992). The cortex also contains a variety of GABAergic non-pyramidal cells (Kawaguchi and Kubota, 1997; Somogyi et al., 1998). The large extension of layer V in motor cortex suggests that it may contain cell populations absent in somatosensory cortex. Indeed, the motor cortex contains a unique layer V cell population, called Betz cells or giant pyramidal cells (Betz, 1874). Interestingly, these cells become increasingly larger in more evolved species (Sherwood et al., 2003). They are generally encountered in layer Vb and can be up to 20 times larger than other pyramidal cells in the same layer. These obvious morphological differences, and many others in more subtle connectivity, are likely to contribute to the distinct specialization of cellular physiology across areas. Here I focus on one such physiological specialization of the motor cortex, its distinct tuning to the 7–14 Hz frequency band.
7–14 Hz Augmenting Responses in Motor Cortex
Afferent activity between 7 and 14 Hz triggers augmenting responses in the motor cortex. Thus, progressively augmenting excitatory responses are generated in the motor cortex when the ventrolateral (VL) nucleus of the thalamus is stimulated electrically at 7–14 Hz, but only decrementing responses are observed in the primary sensory cortex when the ventroposterior medial (VPM) nucleus of the thalamus is stimulated (Castro-Alamancos and Connors, 1996b,c,d). The spatiotemporal response patterns can be revealed by measuring extracellular voltage at regular intervals through the cortical depth, and calculating a map of current source density (CSD). Electrical stimulation delivered in VL produces a response in motor cortex consisting of a relatively small current sink in layer V and a corresponding current source in upper layers (Castro-Alamancos and Connors, 1996d), which is consistent with the anatomical projections of this thalamic nucleus (Herkenham, 1980; Castro-Alamancos and Connors, 1997). Repetitive electrical stimulation between 7 and 14 Hz generates a strong enhancement of the layer V current sink, and related excitatory postsynaptic potentials recorded intracellularly. These augmenting responses can be generated only within a narrow time interval following a conditioning stimulus; the second stimulus must occur between 50 and 200 ms. The intracellular correlate of the narrow time interval for generating the augmenting response is a prominent hyperpolarization of layer V cells generated by inhibitory postsynaptic potentials recruited through VL thalamocortical fibers stimulation of inhibitory interneurons (Figure 1A). The termination of the augmenting interval is marked by a long-latency event that peaks at around 200 ms, and is evident as a slow, negative field potential rebound component that corresponds to a current sink in layer V and a broad depolarizing event intracellularly; akin to a short Up state. Although several cellular mechanisms have been proposed to explain augmenting responses, the underlying mechanisms are not completely established.
FIGURE 1. Augmenting responses in motor cortex driven by ventrolateral (VL) thalamus activity at 7–14 Hz. (A) Intracellular (layer V) and field potential (FP) recordings showing an augmenting response evoked in motor cortex by electrical stimulation in VL at 10 Hz in a ketamine anesthetized rat (Castro-Alamancos and Connors, 1996b). (B) Behavioral state dependency of augmenting responses in a freely behaving rat (Castro-Alamancos and Connors, 1996c). The animal was allowed to freely explore the cage and locomotor activity was monitored with photobeam detectors. The amplitude of the responses to the first and second stimulus delivered at 10 Hz is plotted. The augmenting response is induced during periods of resting and awake immobility but is inactivated during periods of active exploration.
Interestingly, the strength of augmenting is dependent on behavioral state (Figure 1B). During anesthesia, slow-wave sleep, and quiet periods of awake immobility augmenting is maximal, but as soon as the subject switches to a more activated state, such as exploration or skilled motor behavior (reaching and grasping), the augmenting response is abolished (Castro-Alamancos and Connors, 1996c). During the generation of augmenting responses, activity becomes synchronized over large regions of neocortex (Castro-Alamancos and Connors, 1996b,d). We found that a single VL stimulus, which does not elicit augmenting, activates a very limited region of motor cortex, but a second VL stimulus arriving within 50–200 ms, which elicits augmenting, synchronized the activity across an area several times larger in motor cortex. Thus, augmenting reflects a powerful mechanism that can dynamically change, depending on behavioral state, the level of synchronization of activity in large regions of neocortex. Highly synchronous activity throughout neocortex may impede normal information processing because cortical neurons will all respond in the same fashion at the same time, degrading spatial resolution.
7–14 Hz Network Oscillations in Motor Cortex
Enhancing excitation or dampening inhibition leads to 7–14 Hz network oscillations in motor cortex both in slices and in vivo (Figures 2A–C). Disinhibition (block of GABAA and GABAB receptors) in motor cortex, but not in somatosensory cortex, produces highly synchronous oscillations or afterdischarges at 7–14 Hz (Castro-Alamancos, 2000; Castro-Alamancos and Rigas, 2002). Low [Mg2+]o buffers (~0.1 mM) that enhance network excitability, also produce 7–14 Hz oscillations in slices (Silva et al., 1991; Flint and Connors, 1996; Castro-Alamancos et al., 2007), which occur more readily in motor cortex than in somatosensory cortex (Castro-Alamancos and Tawara-Hirata, 2007). However, 7–14 Hz oscillations can be unmasked in somatosensory cortex by suppressing specific outward currents, as described below (Castro-Alamancos and Tawara-Hirata, 2007). These results suggest that specific outward currents, such as the slowly inactivating K+ current (ID), may inhibit the ability of somatosensory cortex to generate 7–14 Hz oscillations.
FIGURE 2. 7–14 Hz oscillations are caused by low [Mg2+]o buffer or disinhibition in the motor cortex but not in the somatosensory cortex. (A–C) Field potential (FP) recordings in neocortical slices showing typical spontaneous events recorded in motor (agranular) cortex (left panels) and in somatosensory (granular) cortex (right panels) during block of GABAA receptors with bicuculline (BMI) (A), subsequent lowering of [Mg2+]o (B), or subsequent block of GABAB receptors (C). Note the occurrence of 7–14 Hz oscillations only in agranular cortex. In each panel, the upper trace has a long time scale and the lower trace shows a close-up of a spontaneous discharge (Castro-Alamancos and Tawara-Hirata, 2007). (D) Recording from a fluorescent slice of an Thy1-eYFP mouse using a 16-channel silicon probe. The left panel shows a light/fluorescent image of the probe position in the motor cortex during the experiment. The middle left panel show a fluorescent image taken at the probe location revealing the layer V fluorescent cells. The current source density (CSD) and FP plots show a 7–14 Hz oscillation event. The CSD and fluorescent image are scaled to match the cortical layers location with the location of the current flow (Castro-Alamancos and Tawara-Hirata, 2007). (E) Close-up of the 7–14 Hz event shown in (D). (F) 7–14 Hz oscillations caused by disinhibition in the whisker motor cortex (vMI) of a freely behaving rat. Bilateral field potential (FP) and multi-unit (MUA) activity recorded from the vMI during disinhibition caused by application of BMI + CGP (0.1 + 2 mM, 0.2 μl volume) into the right vMI. The corresponding raw electromyography (EMG) activity measured from the contralateral whisker pad is also displayed below the FP and MUA. 1 refers to the infused hemisphere and the related (contralateral) whisker pad, 2 refers to the non-infused hemisphere and the related whisker pad (Castro-Alamancos, 2006). (G) 7–14 Hz oscillations of vMI caused by disinhibition produce cycles of vibrissa retractions. Frame by frame tracking of a vibrissa movement caused by vMI disinhibition. Units in the y-axis are relative pixels (see Castro-Alamancos, 2006).
What is the Substrate of 7–14 Hz Resonance in Motor Cortex?
When thinking about the mechanisms responsible for 7–14 Hz resonance in motor cortex it is important to consider the following. First, a pure excitatory network of interconnected pyramidal cells generates 7–14 Hz oscillations in motor cortex because these oscillations are present in the absence of GABAergic transmission (Castro-Alamancos and Borrell, 1995; Flint and Connors, 1996; Castro-Alamancos, 2000; Castro-Alamancos and Rigas, 2002). In fact, GABAB receptors normally suppress the generation of 7–14 Hz oscillations because when GABAB receptors are blocked these oscillations are readily expressed, as long as there is a robust excitatory drive caused by GABAA receptor block (Castro-Alamancos, 2000; Castro-Alamancos and Rigas, 2002). This implies that blocking GABAB receptors may unmask the mechanism(s) responsible for generating 7–14 Hz oscillations in the motor cortex.
Second, selective alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor antagonists completely abolish 7–14 Hz oscillations with little effects on the discharges that trigger them (Castro-Alamancos and Rigas, 2002; Castro-Alamancos et al., 2007). This indicates that fast synaptic excitation is critical for generating and/or synchronizing 7–14 Hz oscillations. In fact, slower N-methyl-D-aspartic acid (NMDA)-mediated synaptic currents cannot sustain 7–14 Hz oscillations without AMPA currents. NMDA receptor antagonists reduce the power and enhance the frequency of the oscillations but do not abolish them (Castro-Alamancos and Rigas, 2002; Castro-Alamancos et al., 2007). Therefore, slow NMDA-mediated synaptic currents modulate but are not required for generating 7–14 Hz oscillations.
Third, drugs that suppress the low-threshold calcium current (IT) and the hyperpolarization-activated cation current (IH) do not suppress 7–14 Hz oscillations in motor cortex (Castro-Alamancos et al., 2007). Thus, IT and IH are not required for 7–14 Hz oscillations.
Fourth, it has been known for some time that in addition to the transient Na+ current, cortical pyramidal neurons express a persistent Na+ current, INap, which appears as a subthreshold inward rectification (Hotson et al., 1979; Connors et al., 1982; Stafstrom et al., 1982, 1984, 1985). Several drugs have been shown to somewhat selectively suppress the persistent component of the Na+ current with less effect on the transient component, such as phenytoin (Quandt, 1988; Segal and Douglas, 1997) and riluzole (Urbani and Belluzzi, 2000; Kononenko et al., 2004; Niespodziany et al., 2004). These drugs, known to suppress INap, abolish 7–14 Hz oscillations at doses that have little effects on synaptic transmission (Castro-Alamancos et al., 2007). Thus, INap appears to be critical for 7–14 Hz oscillations.
Fifth, blockers of voltage-dependent K+ channels have significant effects on 7–14 Hz oscillations of motor cortex. Pyramidal cells express a voltage-dependent K+ current, the M-current (IM), which activates positive to -60 mV and does not inactivate (Halliwell and Adams, 1982; Storm, 1990). IM is blocked by XE991 and linopirdine in pyramidal cells (Aiken et al., 1995; Hu et al., 2002; Yue and Yaari, 2004). IM blockers abolish 7–14 Hz oscillations in motor cortex (Castro-Alamancos et al., 2007). Thus, IM appears to be critical for 7–14 Hz oscillations.
Sixth, CSD analysis shows that current flow in motor cortex during 7–14 Hz oscillations is strongest in layers V and II–III, and appears to propagate between the soma and apical dendrites of layer V cells (Castro-Alamancos and Rigas, 2002; see Figures 2D,E). This suggests a critical role for layer V cells in the generation of 7–14 Hz oscillations in motor cortex.
These results indicate that a network of pyramidal cells (interconnected by fast AMPA-mediated glutamatergic synapses) that intrinsically express INap and IM are involved in the generation of 7–14 Hz oscillations. Possibly, 7–14 Hz oscillations of motor cortex involve the interplay between synaptic (AMPA) and intrinsic inward (INap) and outward currents (IM and perhaps other non-inactivating voltage-dependent K+ currents) in layer V pyramidal cells. Interestingly, such a scheme is supported by computational modeling (Golomb et al., 2006).
Motor Cortex vs. Somatosensory Cortex
An important question is, why are 7–14 Hz oscillations generated in motor but not in somatosensory cortex (i.e., during disinhibition or low [Mg2+]o)? There are at least two main possibilities to explain this result. The somatosensory cortex may be incapable of generating 7–14 Hz oscillations because it lacks the necessary intrinsic or synaptic mechanisms. Alternatively, some current(s) inhibits the ability of somatosensory cortex to generate 7–14 Hz oscillations. If the later is the case, blocking the “inhibiting current” should unmask 7–14 Hz oscillations. But what current may be responsible for keeping a pure excitatory network in somatosensory cortex from generating 7–14 Hz oscillations? In the absence of GABAergic inhibition, intrinsic K+ currents are the counterbalance of excitation. Hence, it is possible that K+ currents in somatosensory cortex impede the generation of 7–14 Hz oscillations (just like GABAB receptors suppress 7–14 Hz oscillations in motor cortex). CA1 and layer V pyramidal cells express three major types of voltage-dependent K+ currents in the soma and dendrites (Storm, 1988, 1990; Hoffman et al., 1997; Bekkers, 2000a,b; Korngreen and Sakmann, 2000; Bekkers and Delaney, 2001); a transient current that rapidly activates and inactivates (IA), a more slowly inactivating current (ID), and a sustained delayed rectifier (IK). Importantly, these three voltage-dependent K+ current components have well-known sensitivities to K+ channel blockers; low doses of 4-aminopyridine (4-AP; μM range) block the slowly inactivating K+ current ID, with little effect on IK and IA. Whereas, tetraethylammonium (TEA) at high doses (10–30 mM) blocks the sustained delayed rectifier IK plus other K+ currents (Storm, 1988, 1990; Hoffman et al., 1997; Bekkers and Delaney, 2001). Interestingly, 7–14 Hz oscillations are unmasked in somatosensory cortex by low doses of 4-AP, which blocks ID (Castro-Alamancos and Tawara-Hirata, 2007). These results indicate that specific outward currents, such as the slowly inactivating K+ current (ID), inhibit the ability of somatosensory cortex to generate 7–14 Hz oscillations because when this current is suppressed 7–14 Hz oscillations are expressed in somatosensory cortex. It is worth noting that the substrate unmasked in somatosensory cortex to produce 7–14 Hz oscillations may be different than the one normally engaged in motor cortex.
There are other known physiological differences between motor and somatosensory cortex that may contribute to their different susceptibility to 7–14 Hz oscillations. Pyramidal cells of the neocortex come in two major types: regular spiking and bursting (Connors and Gutnick, 1990). Regular spiking cells can be further differentiated according to the amount of spike-frequency adaptation. Bursting cells present different degrees; from single bursts to repetitive bursting. Studies in vivo have shown that the main electrophysiological types described in somatosensory cortex are also found in cat (Baranyi et al., 1993a,b) and rat motor cortex (Pockberger, 1991). Intriguingly, a unique “accelerating” firing type mediated by a Kv1 subunit is found in layer V pyramidal cells of rodent motor cortex but not in somatosensory cortex (Miller et al., 2008).
Few studies have directly compared the synaptic response properties of somatosensory and motor cortex. For example, theta-burst stimulation applied to layer V–IV produces long-term potentiation (LTP) in layer III of somatosensory (granular) cortex, while the same procedure in the adjacent motor (agranular) neocortex is less effective unless inhibition is suppressed (Castro-Alamancos et al., 1995). These differences appear to be related to the different response properties of synaptic pathways in these neocortical areas (Castro-Alamancos and Connors, 1996a). During tetanic stimuli the granular cortex, but not the agranular cortex, generated a strong short-term enhancement that correlated well with the subsequent expression of LTP (Castro-Alamancos and Connors, 1996a). The variation in short-term enhancement was due to pathway-specific differences in the short-term regulation of NMDA receptor-dependent responses, which in turn determine the differences in long-term NMDA receptor-dependent potentiation. Specifically, NMDA receptor-mediated responses are more strongly depressed in agranular than in granular cortex during high-frequency stimulation.
7–14 Hz Motor Cortex Oscillations are Functionally Relevant
In humans and non-human primates, oscillatory activity in the beta frequency range (14–30 Hz) is commonly observed in sensorimotor cortex in relation to motor behavior (Donoghue et al., 1998; Saleh et al., 2010). Mu waves (12–18 Hz) occur in the sensorimotor cortex of awake cats during behavioral immobility and are blocked by active movement (Bouyer et al., 1983). In rodents, the intact motor cortex produces 7–14 Hz synchronized oscillations during specific types of whisker movements, such as twitching (Semba and Komisaruk, 1984), which may actually be an abnormal behavioral state that occurs in certain rodent strains (Shaw, 2004). Oscillations occur also during or in anticipation of active whisking (Ahrens and Kleinfeld, 2004; Friedman et al., 2006). These oscillations are usually much less widespread and less synchronous than those occurring during abnormal conditions, such as when inhibition is suppressed. Thus, 7–14 Hz oscillations induced in behaving rats by motor cortex disinhibition produce rhythmical jerks and tremor-like phase-locked movements of the contralateral body (Castro-Alamancos, 2006; Figure 2F). Whiskers produce abnormal retractions that contrast with the normal protractions during exploratory whisking (Castro-Alamancos, 2006; Figure 2G). This abnormal motor behavior resembles a cortical myoclonus in humans with Epilepsia Partialis Continua, which is also associated with large amplitude discharges at 7–14 Hz in the frontal lobes (Obeso et al., 1985; Chauvel et al., 1992).
Conclusion
Several lines of evidence presented here support the notion that the motor cortex contains a unique excitatory network that is tuned to the 7–14 Hz frequency band, and this network may be present but more strongly suppressed in somatosensory cortex. Under normal conditions, afferent activity from the VL thalamus at 7–14 Hz drives augmenting responses in the motor cortex. Augmenting responses are very dependent on behavioral state. They are abolished during sensorimotor processing, such as skilled movement or active exploration, but are fully expressed during sow-wave sleep, anesthesia, and awake quiescence. This activity may be linked to the ability of motor cortex to oscillate at mu and beta frequencies during certain states. Finally, the 7–14 Hz activity in motor cortex is fully expressed when inhibition is suppressed or excitation is enhanced, and it can drive abnormal movements that resemble those expressed during partial epilepsies.
Conflict of Interest Statement
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgment
This work was supported by the National Institutes of Health.
References
Ahrens, K. F., and Kleinfeld, D. (2004). Current flow in vibrissa motor cortex can phase-lock with exploratory rhythmic whisking in rat. J. Neurophysiol. 92, 1700–1707.
Aiken, S. P., Lampe, B. J., Murphy, P. A., and Brown, B. S. (1995). Reduction of spike frequency adaptation and blockade of M-current in rat CA1 pyramidal neurones by linopirdine (DuP 996), a neurotransmitter release enhancer. Br. J. Pharmacol. 115, 1163–1168.
Baranyi, A., Szente, M. B., and Woody, C. D. (1993a). Electrophysiological characterization of different types of neurons recorded in vivo in the motor cortex of the cat. I. Patterns of firing activity and synaptic responses. J. Neurophysiol. 69, 1850–1864.
Baranyi, A., Szente, M. B., and Woody, C. D. (1993b). Electrophysiological characterization of different types of neurons recorded in vivo in the motor cortex of the cat. II. Membrane parameters, action potentials, current-induced voltage responses and electrotonic structures. J. Neurophysiol. 69, 1865–1879.
Bekkers, J. M. (2000a). Distribution and activation of voltage-gated potassium channels in cell-attached and outside-out patches from large layer 5 cortical pyramidal neurons of the rat. J. Physiol. 525(Pt 3), 611–620.
Bekkers, J. M. (2000b). Properties of voltage-gated potassium currents in nucleated patches from large layer 5 cortical pyramidal neurons of the rat. J. Physiol. 525(Pt 3), 593–609.
Bekkers, J. M., and Delaney, A. J. (2001). Modulation of excitability by alpha-dendrotoxin-sensitive potassium channels in neocortical pyramidal neurons. J. Neurosci. 21, 6553–6560.
Bouyer, J. J., Tilquin, C., and Rougeul, A. (1983). Thalamic rhythms in cat during quiet wakefulness and immobility. Electroencephalogr. Clin. Neurophysiol. 55, 180–187.
Brodmann, K. (1905). Beiträge zur histologischen Lokalisation der Grosshirnrinde: Die Rindenfelder der niederen affen. J. Psychol. Neurol. 4, 177–226.
Castro-Alamancos, M. A. (2000). Origin of synchronized oscillations induced by neocortical disinhibition in vivo. J. Neurosci. 20, 9195–9206.
Castro-Alamancos, M. A. (2006). Vibrissa myoclonus (rhythmic retractions) driven by resonance of excitatory networks in motor cortex. J. Neurophysiol. 96, 1691–1698.
Castro-Alamancos, M. A., and Borrell, J. (1995). Contribution of NMDA and nonNMDA glutamate receptors to synchronized excitation and cortical output in the primary motor cortex of the rat. Brain Res. Bull. 37, 539–543.
Castro-Alamancos, M. A., and Connors, B. W. (1996a). Short-term synaptic enhancement and long-term potentiation in neocortex. Proc. Natl. Acad. Sci. U.S.A. 93, 1335–1339.
Castro-Alamancos, M. A., and Connors, B. W. (1996b). Cellular mechanisms of the augmenting response: short-term plasticity in a thalamocortical pathway. J. Neurosci. 16, 7742–7756.
Castro-Alamancos, M. A., and Connors, B. W. (1996c). Short-term plasticity of a thalamocortical pathway dynamically modulated by behavioral state. Science 272, 274–277.
Castro-Alamancos, M. A., and Connors, B. W. (1996d). Spatiotemporal properties of short-term plasticity sensorimotor thalamocortical pathways of the rat. J. Neurosci. 16, 2767–2779.
Castro-Alamancos, M. A., and Connors, B. W. (1997). Thalamocortical synapses. Prog. Neurobiol. 51, 581–606.
Castro-Alamancos, M. A., Donoghue, J. P., and Connors, B. W. (1995). Different forms of synaptic plasticity in somatosensory and motor areas of the neocortex. J. Neurosci. 15, 5324–5333.
Castro-Alamancos, M. A., and Rigas, P. (2002). Synchronized oscillations caused by disinhibition in rodent neocortex are generated by recurrent synaptic activity mediated by AMPA receptors. J. Physiol. 542, 567–581.
Castro-Alamancos, M. A., Rigas, P., and Tawara-Hirata, Y. (2007). Resonance (approximately 10 Hz) of excitatory networks in motor cortex: effects of voltage-dependent ion channel blockers. J. Physiol. 578, 173–191.
Castro-Alamancos, M. A., and Tawara-Hirata, Y. (2007). Area-specific resonance of excitatory networks in neocortex: control by outward currents. Epilepsia 48, 1572–1584.
Chauvel, P., Trottier, S., Vignal, J. P., and Bancaud, J. (1992). Somatomotor seizures of frontal lobe origin. Adv. Neurol. 57, 185–232.
Connors, B. W., and Gutnick, M. J. (1990). Intrinsic firing patterns of diverse neocortical neurons. Trends Neurosci. 13, 99–104.
Connors, B. W., Gutnick, M. J., and Prince, D. A. (1982). Electrophysiological properties of neocortical neurons in vitro. J. Neurophysiol. 48, 1302–1320.
Creutzfeldt, O. D., and Creutzfeldt, M. (1993). Cortex Cerebri: Performance, Structural and Functional Organization of the Cortex. Göttingen: Oxford University Press.
DeFelipe, J., and Farinas, I. (1992). The pyramidal neuron of the cerebral cortex: morphological and chemical characteristics of the synaptic inputs. Prog. Neurobiol. 39, 563–607.
Donoghue, J. P., Sanes, J. N., Hatsopoulos, N. G., and Gaal, G. (1998). Neural discharge and local field potential oscillations in primate motor cortex during voluntary movements. J. Neurophysiol. 79, 159–173.
Donoghue, J. P., and Wise, S. P. (1982). The motor cortex of the rat: cytoarchitecture and microstimulation mapping. J. Comp. Neurol. 212, 76–88.
Douglas, R. J., Koch, C., Mahowald, M., Martin, K. A., and Suarez, H. H. (1995). Recurrent excitation in neocortical circuits. Science 269, 981–985.
Flint, A. C., and Connors, B. W. (1996). Two types of network oscillations in neocortex mediated by distinct glutamate receptor subtypes and neuronal populations. J. Neurophysiol. 75, 951–957.
Friedman, W. A., Jones, L. M., Cramer, N. P., Kwegyir-Afful, E. E., Zeigler, H. P., and Keller, A. (2006). Anticipatory activity of motor cortex in relation to rhythmic whisking. J. Neurophysiol. 95, 1274–1277.
Golomb, D., Shedmi, A., Curtu, R., and Ermentrout, G. B. (2006). Persistent synchronized bursting activity in cortical tissues with low magnesium concentration: a modeling study. J. Neurophysiol. 95, 1049–1067.
Hall, R. D., and Lindholm, E. P. (1974). Organization of motor and somatosensory neocortex in the albino rat. Brain Res. 66, 23–38.
Halliwell, J. V., and Adams, P. R. (1982). Voltage-clamp analysis of muscarinic excitation in hippocampal neurons. Brain Res. 250, 71–92.
Herkenham, M. (1980). Laminar organization of thalamic projections to the rat neocortex. Science 207, 532–535.
Hoffman, D. A., Magee, J. C., Colbert, C. M., and Johnston, D. (1997). K+ channel regulation of signal propagation in dendrites of hippocampal pyramidal neurons. Nature 387, 869–875.
Hotson, J. R., Prince, D. A., and Schwartzkroin, P. A. (1979). Anomalous inward rectification in hippocampal neurons. J. Neurophysiol. 42, 889–895.
Hu, H., Vervaeke, K., and Storm, J. F. (2002). Two forms of electrical resonance at theta frequencies, generated by M-current, h-current and persistent Na+ current in rat hippocampal pyramidal cells. J. Physiol. 545, 783–805.
Kawaguchi, Y., and Kubota, Y. (1997). GABAergic cell subtypes and their synaptic connections in rat frontal cortex. Cereb. Cortex 7, 476–486.
Kononenko, N. I., Shao, L. R., and Dudek, F. E. (2004). Riluzole-sensitive slowly inactivating sodium current in rat suprachiasmatic nucleus neurons. J. Neurophysiol. 91, 710–718.
Korngreen, A., and Sakmann, B. (2000). Voltage-gated K+ channels in layer 5 neocortical pyramidal neurones from young rats: subtypes and gradients. J. Physiol. 525(Pt 3), 621–639.
Miller, M. N., Okaty, B. W., and Nelson, S. B. (2008). Region-specific spike-frequency acceleration in layer 5 pyramidal neurons mediated by Kv1 subunits. J. Neurosci. 28, 13716–13726.
Mountcastle, V. B. (1998). Perceptual Neuroscience: The Cerebral Cortex. Cambridge: Harvard University Press.
Niespodziany, I., Klitgaard, H., and Margineanu, D. G. (2004). Is the persistent sodium current a specific target of anti-absence drugs? Neuroreport 15, 1049–1052.
Obeso, J. A., Rothwell, J. C., and Marsden, C. D. (1985). The spectrum of cortical myoclonus. From focal reflex jerks to spontaneous motor epilepsy. Brain 108(Pt 1), 193–124.
Pockberger, H. (1991). Electrophysiological and morphological properties of rat motor cortex neurons in vivo. Brain Res. 539, 181–190.
Quandt, F. N. (1988). Modification of slow inactivation of single sodium channels by phenytoin in neuroblastoma cells. Mol. Pharmacol. 34, 557–565.
Saleh, M., Reimer, J., Penn, R., Ojakangas, C. L., and Hatsopoulos, N. G. (2010). Fast and slow oscillations in human primary motor cortex predict oncoming behaviorally relevant cues. Neuron 65, 461–471.
Segal, M. M., and Douglas, A. F. (1997). Late sodium channel openings underlying epileptiform activity are preferentially diminished by the anticonvulsant phenytoin. J. Neurophysiol. 77, 3021–3034.
Semba, K., and Komisaruk, B. R. (1984). Neural substrates of two different rhythmical vibrissal movements in the rat. Neuroscience 12, 761–774.
Shaw, F. Z. (2004). Is spontaneous high-voltage rhythmic spike discharge in Long Evans rats an absence-like seizure activity?. J. Neurophysiol. 91, 63–77.
Sherwood, C. C., Lee, P. W., Rivara, C. B., Holloway, R. L., Gilissen, E. P., Simmons, R. M., et al. (2003). Evolution of specialized pyramidal neurons in primate visual and motor cortex. Brain Behav. Evol. 61, 28–44.
Silva, L. R., Amitai, Y., and Connors, B. W. (1991). Intrinsic oscillations of neocortex generated by layer 5 pyramidal neurons. Science 251, 432–435.
Somogyi, P., Tamas, G., Lujan, R., and Buhl, E. H. (1998). Salient features of synaptic organisation in the cerebral cortex. Brain Res. Brain Res. Rev. 26, 113–135.
Stafstrom, C. E., Schwindt, P. C., Chubb, M. C., and Crill, W. E. (1985). Properties of persistent sodium conductance and calcium conductance of layer V neurons from cat sensorimotor cortex in vitro. J. Neurophysiol. 53, 153–170.
Stafstrom, C. E., Schwindt, P. C., and Crill, W. E. (1982). Negative slope conductance due to a persistent subthreshold sodium current in cat neocortical neurons in vitro. Brain Res. 236, 221–226.
Stafstrom, C. E., Schwindt, P. C., Flatman, J. A., and Crill, W. E. (1984). Properties of subthreshold response and action potential recorded in layer V neurons from cat sensorimotor cortex in vitro. J. Neurophysiol. 52, 244–263.
Storm, J. F. (1988). Temporal integration by a slowly inactivating K+ current in hippocampal neurons. Nature 336, 379–381.
Storm, J. F. (1990). Potassium currents in hippocampal pyramidal cells. Prog. Brain Res. 83, 161–187.
Urbani, A., and Belluzzi, O. (2000). Riluzole inhibits the persistent sodium current in mammalian CNS neurons. Eur. J. Neurosci. 12, 3567–3574.
Welker, C. (1971). Microelectrode delineation of fine grain somatotopic organization of (SmI) cerebral neocortex in albino rat. Brain Res. 26, 259–275.
Welker, C. (1976). Receptive fields of barrels in the somatosensory neocortex of the rat. J. Comp. Neurol. 166, 173–189.
Yue, C., and Yaari, Y. (2004). KCNQ/M channels control spike afterdepolarization and burst generation in hippocampal neurons. J. Neurosci. 24, 4614–4624.
Keywords: oscillatory activity, motor cortex, behavioral state, potassium channels, voltage-gated, excitatory synapses
Citation: Castro-Alamancos MA (2013) The motor cortex: a network tuned to 7–14 Hz. Front. Neural Circuits 7:21. doi: 10.3389/fncir.2013.00021
Received: 22 November 2012; Paper pending published: 07 December 2012;
Accepted: 31 January 2013; Published online: 21 February 2013.
Edited by:
Michael Brecht, Humboldt University Berlin, GermanyReviewed by:
Daniel Huber, University of Geneva, SwitzerlandTaro Kiritani, école Polytechnique Fédérale de Lausanne, Switzerland
Copyright: © 2013 Castro-Alamancos. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
*Correspondence: Manuel A. Castro-Alamancos, Department of Neurobiology and Anatomy, Drexel University College of Medicine, 2900 Queen Lane, Philadelphia, PA 19129, USA.