Serial homologies of the motor neurons of the dorsal intersegmental muscles of the cockroach,Periplaneta americana (L.)

The types and locations of serially homologous motor neurons of the dorsal muscles in the cockroach Periplaneta americana remain rather constant regardless of the various adaptations of their muscles or the fusion of ganglia. However, the size and number of neurons do vary according to the development of the muscles they innervate. Neurons in four distinctive locations, two ipsisegmental and two antesegmental, innervate the dorsal longitudinal (DL) muscles in most segments. One of the ipsisegmental neurons (DLC) is common to all of the DL muscles of a segment and probably has a modulatory function. The dorsal oblique (DO) muscles of most segments have neurons in two antesegmental positions. One of these, an antesegmental, contralateral neuron, innervates both DO and DL muscles in each segment and is also probably modulatory. One neuron (DOC) of the prothoracic ganglion is the principal exception to the constancy of these serially homologous neurons. This neuron appears to be homologous to the DLC neurons of other segments but innervates the DO rather than the DL muscles.     

Action understanding: how, what and why

The mirror neuron system may help us understand how others act and what they do. A recent study has shown that consciously reflecting on their intentions additionally recruits mentalizing areas.     

The Limited Utility of Multiunit Data in Differentiating Neuronal Population Activity

To date, single neuron recordings remain the gold standard for monitoring the activity of neuronal populations. Since obtaining single neuron recordings is not always possible, high frequency or ‘multiunit activity’ (MUA) is often used as a surrogate. Although MUA recordings allow one to monitor the activity of a large number of neurons, they do not allow identification of specific neuronal subtypes, the knowledge of which is often critical for understanding electrophysiological processes. Here, we explored whether prior knowledge of the single unit waveform of specific neuron types is sufficient to permit the use of MUA to monitor and distinguish differential activity of individual neuron types. We used an experimental and modeling approach to determine if components of the MUA can monitor medium spiny neurons (MSNs) and fast-spiking interneurons (FSIs) in the mouse dorsal striatum. We demonstrate that when well-isolated spikes are recorded, the MUA at frequencies greater than 100Hz is correlated with single unit spiking, highly dependent on the waveform of each neuron type, and accurately reflects the timing and spectral signature of each neuron. However, in the absence of well-isolated spikes (the norm in most MUA recordings), the MUA did not typically contain sufficient information to permit accurate prediction of the respective population activity of MSNs and FSIs. Thus, even under ideal conditions for the MUA to reliably predict the moment-to-moment activity of specific local neuronal ensembles, knowledge of the spike waveform of the underlying neuronal populations is necessary, but not sufficient.     

Can Lionel Messi’s brain slow down time passing?

It seems that seeing others in slow-motion by heroes does not belong only to movies. When Lionel Messi plays football, you can hardly see anything from him that other players cannot do. Then why he is not stoppable really? It seems the answer may be that opponents do not have enough time to do what they want; because in Messi’s neural system, time passes slower. In differential equations that model a single neuron, this speed can be generated by multiplying an equal term in all equations. Or maybe interactions between neurons and the structure of neural networks play this role.     

Fine structure of an octopaminergic neuron and its terminals

The large octopaminergic dorsal unpaired median neuron of the locust that innervates the extensor tibiae muscle, DUMETi, was examined electronmicroscopically. Its soma contains many Golgi complexes apparently making dense-core vesicles similar to those found in peripheral branches and terminals. There are also larger stores of the dense material in the soma, especially near the exit of the principal neurite, that are not in vesicular form. Since the neurons can be penetrated and stimulated by microelectrodes, they form favorable subjects for direct studies of the control of neurosecretion. Preterminal fine branches of the neuron were located in proximal outer bundles of muscle fibers into which they had been traced electrophysiologically. They contain numerous large dense-core vesicles arrayed in rows near microtubules. These fine branches have a thick layer of collagenous connective tissue between the axon and the muscle fiber. Final terminals have varicosities containing many vesicles, lying inside the outer layers of the sarcolemmal complex of muscle fibers. They do not form synaptic structures. Terminals of another DUM neuron, one that innervates the dorsal longitudinal flight muscles (DUMDL), were similar in detail to those of DUMETi. DUMETi swelled about 20-fold in cross-sectional area above a ligature, in a 12-hr period, indicating that there is an extensive centrifugal flow of material in it, and sprouted a branch.     

Inhibition of serotonin reuptake.

An uptake system on the serotonin neuronal membrane apparently functions to inactivate serotonin that has been released into the synaptic cleft. Various inhibitors of this active transport system on serotonin neurons are known, and some are specific in the sense that they do not inhibit the active uptake system on norepinephrine neurons. The most widely studied specific inhibitor of the serotonin neuron pump is fluoxetine, 3-(p-trifluoromethylphenoxy-N-methyl-3-phenyl propylamine (Lilly 110140). When fluoxetine or other effective but less specific serotonin uptake inhibitors are given, a rapid decrease in serotonin turnover occurs and the rate of firing of single neural units in the serotonin rich raphe area of brain is reduced. This decrease in serotonin turnover and release may be a compensatroy mechanism in response to an enhanced action of serotonin on synaptic receptors. Through the use of fluoxetine and other serotonin uptake inhibitors, the role of serotonin neurons in various brain functions--behavior, sleep, regulation of pituitary hormone release, thermoregulation, pain responsiveness, and so on--can be studied.     

Ocellar interneurons in the honeybee

Summary Morphologically identified spiking ocellar interneurons (L_B and L_D-neurons) of the honeybee (Apis melliferd) were investigated by combined intracellular recording and staining techniques using multimodal stimulus programs.Response patterns containing both graded and action potentials (mixed response), and pure spiking responses were analysed. Mixed responses allow a comparison of information coded simultaneously by graded and action potentials in one neuron. In most cases the intensity dependence coded by spikes was found to be similar to the intensity dependence coded by one of two different parameters evaluated from the graded signal. Lneurons with mixed responses were unimodal, i.e. they reacted exclusively to stationary illumination of the ocelli, as do nonspiking L-neurons.In contrast, spiking L-neurons that lacked a graded response component could also respond to stimuli of other sensory modalities: moving patterns, compound eye illumination, airstreams, mechanical and gustatory stimulation. One L_D-neuron was also excited by the wing beat.Recordings from the same type of neuron in different individuals demonstrate that the input modalities and response patterns of L-neurons vary remarkably. Consequently many recordings are required to properly characterise the physiological properties of these neurons even though anatomically they are identified.The existence of graded and action potentials in the same cell and the fact that these two signals carry different information is discussed in the context of a possible role for information transmission from L-neurons to postsynaptic cells.Abbreviation R/I response/intensity     

Altered sensory projections in the chick hind limb following the early removal of motoneurons

Chick sensory neurons grow to their correct targets in the hindlimb from the outset during normal development and following various experimental manipulations. This may result not because sensory neurons respond to specific limb-derived cues, but because they interact in some way with motoneurons which are responsive to such cues. To test this possibility, we removed the ventral part of the neural tube, which contains motoneurons and their precursors, at stages 16 1/2-20 1/2 and later examined the pathways sensory neurons had taken within the limb. Muscle nerves generally were missing or were reduced in diameter beyond the extent expected simply from the absence of motoneuron axons. In many cases, cutaneous nerves were enlarged, presumably due to the addition of other sensory axons. This result suggests that, in the absence of motoneurons, sensory neurons that normally project to muscles are unable to do so and may instead project along cutaneous pathways. Sensory axons from different segments also crossed less extensively in the plexus region than they did in control embryos, suggesting that alterations in their trajectories may normally be facilitated by similar changes in motoneuron pathways. Thus, motoneurons greatly enhance sensory neuron growth to muscles and contribute significantly toward the achievement of the normal sensory projection pattern. Sensory axons may fasciculate with motoneuron axons, or motoneuron axons may provide an aligned substrate for sensory neurons to grow along. Alternatively, motoneuron axons may alter the environment, thereby making certain pathways in the limb permissive for sensory neuron growth.     

Spike-Threshold Adaptation Predicted by Membrane Potential Dynamics In Vivo

Neurons encode information in sequences of spikes, which are triggered when their membrane potential crosses a threshold. In vivo, the spiking threshold displays large variability suggesting that threshold dynamics have a profound influence on how the combined input of a neuron is encoded in the spiking. Threshold variability could be explained by adaptation to the membrane potential. However, it could also be the case that most threshold variability reflects noise and processes other than threshold adaptation. Here, we investigated threshold variation in auditory neurons responses recorded in vivo in barn owls. We found that spike threshold is quantitatively predicted by a model in which the threshold adapts, tracking the membrane potential at a short timescale. As a result, in these neurons, slow voltage fluctuations do not contribute to spiking because they are filtered by threshold adaptation. More importantly, these neurons can only respond to input spikes arriving together on a millisecond timescale. These results demonstrate that fast adaptation to the membrane potential captures spike threshold variability in vivo.     

Glial cells of the crayfish and their relationships with neurons. An ultrastructural study

1. Glial cells of the crayfish abdominal ganglia have been studied by transmission electron microscopy. Special attention is paid to the interrelationships between neurons and glial cells. Covers and hemocyte-related elements have also been considered. 2. Glial cells are identified by a common ultrastructure and close relationships with neurons. Four glial classes are considered, depending on their morphology, the compartment of neurons they ensheathe and neuron-glia interface. 3. Four ultrastructural classes of neurons are proposed. They differ in geometry and ultrastructure, as well as in glial covers (complexity and evaginations into the neuron somata). The morphology and organization of glial covers is specific for the neuron type they ensheathe. Specific glial covers do not differ in glia-glia communicatory structures. 4. The morphological and metabolical compartments of neurons are separated from the extracellular matrix or blood by specific glial systems. A system of two cells is interposed between neuron somata and hemolymph or the extracellular matrix. 5. Glial processes are crossed by membraneous tubular systems, at neuron perikarya and axons. Frequent gap junctions of varying area, density and number of IMP are found in the covers of neuron somata. 6. Neuron-glia interface bears numerous communicatory structures for both ionic and macromolecular exchange. They include junctions and transient modifications of membranes. Some of them suggest active transport mechanisms. 7. Modified endocytotic mechanisms seem to be responsible for the glia-to-neuron transfer of macromolecules as well as for the neuron-to-glia transfer of lamellar bodies. 8. The neuropil is divided into glomeruli (electrical or chemical) by glial processes and the trabeculae of the extracellular dense matrix. Neuron-glia membrane appositions have been found in electrical glomeruli. In chemical glomeruli, dense cored vesicles can release their content at neuron-neuron or neuron-glia intercellular cleft, at non-synaptic loci. 9. Neurons of type II contain peripheral complex Golgi systems, associated to subsurface cisternae and neuron-glia gap junctions, suggesting a cooperation of glial cells in specific macromolecular synthesis.     

Decoding spike timing: the differential reverse-correlation method

It is widely acknowledged that detailed timing of action potentials is used to encode information, for example, in auditory pathways; however, the computational tools required to analyze encoding through timing are still in their infancy. We present a simple example of encoding, based on a recent model of time-frequency analysis, in which units fire action potentials when a certain condition is met, but the timing of the action potential depends also on other features of the stimulus. We show that, as a result, spike-triggered averages are smoothed so much that they do not represent the true features of the encoding. Inspired by this example, we present a simple method, differential reverse correlations, that can separate an analysis of what causes a neuron to spike, and what controls its timing. We analyze with this method the leaky integrate-and-fire neuron and show the method accurately reconstructs the model's kernel.     

Physiological,Morphological and Neurochemical Characterization of Neurons Modulated by Movement

The role of individual neurons and their function in neuronal circuits is fundamental to understanding the neuronal mechanisms of sensory and motor functions. Most investigations of sensorimotor mechanisms rely on either examination of neurons while an animal is static^1,2 or record extracellular neuronal activity during a movement.^3,4 While these studies have provided the fundamental background for sensorimotor function, they either do not evaluate functional information which occurs during a movement or are limited in their ability to fully characterize the anatomy, physiology and neurochemical phenotype of the neuron. A technique is shown here which allows extensive characterization of individual neurons during an in vivo movement. This technique can be used not only to study primary afferent neurons but also to characterize motoneurons and sensorimotor interneurons. Initially the response of a single neuron is recorded using electrophysiological methods during various movements of the mandible followed by determination of the receptive field for the neuron. A neuronal tracer is then intracellularly injected into the neuron and the brain is processed so that the neuron can be visualized with light, electron or confocal microscopy (Fig. 1). The detailed morphology of the characterized neuron is then reconstructed so that neuronal morphology can be correlated with the physiological response of the neuron (Figs. 2,3). In this communication important key details and tips for successful implementation of this technique are provided. Valuable additional information can be determined for the neuron under study by combining this method with other techniques. Retrograde neuronal labeling can be used to determine neurons with which the labeled neuron synapses; thus allowing detailed determination of neuronal circuitry. Immunocytochemistry can be combined with this method to examine neurotransmitters within the labeled neuron and to determine the chemical phenotypes of neurons with which the labeled neuron synapses. The labeled neuron can also be processed for electron microscopy to determine the ultrastructural features and microcircuitry of the labeled neuron. Overall this technique is a powerful method to thoroughly characterize neurons during in vivo movement thus allowing substantial insight into the role of the neuron in sensorimotor function.Download video file.^{(43M, mov)}     

Assessing the function of motor cortex: single-neuron models of how neural response is modulated by limb biomechanics

Do neurons in primary motor cortex encode the generative details of motor behavior, such as individual muscle activities, or do they encode high-level movement attributes? Resolving this question has proven difficult, in large part because of the sizeable uncertainty inherent in estimating or measuring the joint torques and muscle forces that underlie movements made by biological limbs. We circumvented this difficulty by considering single-neuron responses in an isometric task, where joint torques and muscle forces can be straightforwardly computed from limb geometry. The response for each neuron was modeled as a linear function of a "preferred" joint torque vector, and this model was fit to individual neural responses across variations in limb posture. The resulting goodness of fit suggests that neurons in motor cortex do encode the kinetics of motor behavior and that the neural response properties of "preferred direction" and "gain" are dual components of a unitary response vector.     

The role of excitotoxicity in the pathogenesis of amyotrophic lateral sclerosis

Unfortunately and despite all efforts, amyotrophic lateral sclerosis (ALS) remains an incurable neurodegenerative disorder characterized by the progressive and selective death of motor neurons. The cause of this process is mostly unknown, but evidence is available that excitotoxicity plays an important role. In this review, we will give an overview of the arguments in favor of the involvement of excitotoxicity in ALS. The most important one is that the only drug proven to slow the disease process in humans, riluzole, has anti-excitotoxic properties. Moreover, consumption of excitotoxins can give rise to selective motor neuron death, indicating that motor neurons are extremely sensitive to excessive stimulation of glutamate receptors. We will summarize the intrinsic properties of motor neurons that could render these cells particularly sensitive to excitotoxicity. Most of these characteristics relate to the way motor neurons handle Ca(2+), as they combine two exceptional characteristics: a low Ca(2+)-buffering capacity and a high number of Ca(2+)-permeable AMPA receptors. These properties most likely are essential to perform their normal function, but under pathological conditions they could become responsible for the selective death of motor neurons. In order to achieve this worst-case scenario, additional factors/mechanisms could be required. In 1 to 2% of the ALS patients, mutations in the SOD1 gene could shift the balance from normal motor neuron excitation to excitotoxicity by decreasing glutamate uptake in the surrounding astrocytes and/or by interfering with mitochondrial function. We will discuss point by point these different pathogenic mechanisms that could give rise to classical and/or slow excitotoxicity leading to selective motor neuron death.     

Effect of cadmium ions on bursting electrical activity of an identified snail neuron

The effect of cadmium ions, a specific blocker of the inward calcium current in molluscan neurons, on electrical activity of identified neuron RPal ofHelix pomatia was studied. Cadmium ions in a concentration of 1 mM were shown to block bursting activity of the neuron completely. The membrane potential increased under these circumstances to about ?65 mV. After rinsing out the cadmium ions electrical activity in the neuron was fully restored. If a modulating factor (a peptide fraction obtained from the water-soluble part of snail brain homogenate) was added to the solution containing cadmium ions, however, not only was bursting activity not blocked, but it was actually intensified. Addition of modulating factor to the solution after blocking induced by cadmium ions led to the reappearance of bursting activity if not more than a few tens of seconds had elapsed after blocking developed. As the time after the beginning of blocking increased, addition of the modulating factor became less effective and caused only rhythmic activity to develop. It was concluded from the results of these experiments that bursting activity of neuron RPal is not endogenous but is induced in it by a modulating factor secreted by an unidentified peptidergic interneuron. Calcium ions do not play an essential role in the generation of slow depolarization waves in the neuron under these circumstances but they are essential for secretion of the modulating factor.     

Coexpression of two functional odor receptors in one neuron

One of the most fundamental tenets in the field of olfaction is that each olfactory receptor neuron (ORN) expresses a single odorant receptor. However, the one receptor-one neuron principle is difficult to establish rigorously. Here we construct a receptor-to-neuron map for an entire olfactory organ in Drosophila and find that two receptor genes are coexpressed in one class of ORN. Both receptors are functional in an in vivo expression system, they are only 16% identical in amino acid sequence, and the genes that encode them are unlinked. Most importantly, their coexpression has been conserved for >45 million years. Expression of multiple odor receptors in a cell provides an additional degree of freedom for odor coding.     

The slit receptor Rig-1/Robo3 controls midline crossing by hindbrain precerebellar neurons and axons

During development, precerebellar neurons migrate dorsoventrally from the rhombic lip to the floor plate. Some of these neurons cross the midline while others stop. We have identified a role for the slit receptor Rig-1/Robo3 in directing this process. During their tangential migration, neurons of all major hindbrain precerebellar nuclei express high levels of Rig-1 mRNA. Rig-1 expression is rapidly downregulated as their leading process crosses the floor plate. Interestingly, most precerebellar nuclei do not develop normally in Rig-1-deficient mice, as they fail to cross the midline. In addition, inferior olivary neurons, which normally send axons into the contralateral cerebellum, project ipsilaterally in Rig-1 mutant mice. Similarly, neurons of the lateral reticular nucleus and basilar pons are unable to migrate across the floor plate and instead remain ipsilateral. These results demonstrate that Rig-1 controls the ability of both precerebellar neuron cell bodies and their axons to cross the midline.     

Communicating synapses: types and functional interpretation. Exceptions to Cajal's neuron theory.

The neurons of the dorsal periaqueductal nucleus of the mesencephalon and their synaptic contacts were observed under a transmission electron microscope. We found various types of synapses which constituted an exception to Cajal's neuron theory (law of neuron independence). Some of these synapses had an open communicating or continuity 'passage' between the presynaptic bouton of a neuron (first neuron) and the postsynaptic portion of another neuron (second neuron). The 'communicating' passage (located in the synaptosome) is formed by the continuity of the presynaptic and postsynaptic membrane, and its limits or rims are the reflexion points of the membranes. When only two neurons intervene they could be termed 'simple communicating synapses'. We found three types: I = communicating axosomatic synapses; II = communicating axodendritic synapses, and III = communicating axoaxonic synapses'. When three neurons intervene in the synaptic contact, they could be termed 'complex communicating synapses'. In these, the first and second neurons form a normal synapse, but the lateral portion of the presynaptic bouton of the first neuron also enters into contact with a third neuron, with which it establishes an open communicating or continuity passage. The points of these passages are collateral to the synapse, and may be in the presynaptic or pre-postsynaptic portions simultaneously, communicating collaterally with the third neuron. We found a further three types: IV = complex communicating axosomatic and dendritic synapses; V = complex communicating axoaxonic and somatic synapses, and VI = complex communicating axodendritic and double-somatic synapses. It is suggested that communicating synapses may constitute an exception to Cajal's neuron theory, representing functional states for the acceleration, retardation or modulation of the synaptic function. The neurotransmitters would pass en masse through the communicating passage and the depolarization wave would pass through the rims without being retarded. In the simple communicating synapses, their action would be intensifying. In the complex communicating synapses, their action would be modulating or retarding, since the collateral communicating passage would function as an 'escape valve' through which part of the impulse reaching the presynaptic bouton would escape.