Prelude. Cycle 1. Introduction. Cycle 2. Structure defines function. Cycle 3. Diversity of cortical functions is provided by inhibition. Cycle 4. Windows on the brain. Cycle 5. A system of rhythms: from simple to complex dynamics. Cycle 6. Synchronization by oscillation. Cycle 7. The brain's default state: self-organized oscillations in rest and sleep. Cycle 8. Perturbation of the default patterns by experience. Cycle 9. The gamma buzz: gluing by oscillations in the waking brain. Cycle 10. Perceptions and actions are brain state-dependent. Cycle 11. Oscillations in the "other cortex:" navigation in real and memory space. Cycle 12. Coupling of systems by oscillations. Cycle 13. The tough problem. References.

Rhythms of the brain

Sleep is characterized by synchronized events in billions of synaptically coupled neurons in thalamocortical systems. The activation of a series of neuromodulatory transmitter systems during awakening blocks low-frequency oscillations, induces fast rhythms, and allows the brain to recover full responsiveness. Analysis of cortical and thalamic networks at many levels, from molecules to single neurons to large neuronal assemblies, with a variety of techniques, ranging from intracellular recordings in vivo and in vitro to computer simulations, is beginning to yield insights into the mechanisms of the generation, modulation, and function of brain oscillations.

https://science.sciencemag.org/content/sci/262/5134/679.full.pdf

Thalamocortical oscillations in the sleeping and aroused brain

Converging evidence now indicates that the amygdala plays a crucial role in the development and expression of conditioned fear. Conditioned fear is a hypothetical construct used to explain the cluster of behavioral effects produced when an initially neutral stimulus is consistently paired with an aversive stimulus. For example, when a light, which initially has no behavioral effect, is paired with an aversive stimulus such as a footshock, the light alone can elicit a constellation of behaviors that are typically used to define a state of fear in animals. To explain these findings, it is generally assumed (cf. McAllister & McAllister 1971 ) that during light-shock pair­ ings (training session ), the shock elicits a variety of behaviors that can be used to infer a central state of fear (unconditioned responses-Figure 1 ). After pairing , the light can produce the same central fear state and thus the same set of bchaviors formerly produced by thc shock. Moreover, the behavioral effects that are produced in animals by this formerly neutral stimulus (now called a conditioned stimulus-CS ) are similar in many respects to the constellation of behaviors that are used to diagnose gener­ alized anxiety in humans (Table 1 ). This chapter summarizes data sup­ porting the idea that the amygdala, and its many efferent projections, may represent a central fear system involved in both the expression and acquisition of conditioned fear.

The role of the amygdala in fear and anxiety

Gamma rhythms are commonly observed in many brain regions during both waking and sleep states, yet their functions and mechanisms remain a matter of debate. Here we review the cellular and synaptic mechanisms underlying gamma oscillations and outline empirical questions and controversial conceptual issues. Our main points are as follows: First, gamma-band rhythmogenesis is inextricably tied to perisomatic inhibition. Second, gamma oscillations are short-lived and typically emerge from the coordinated interaction of excitation and inhibition, which can be detected as local field potentials. Third, gamma rhythm typically concurs with irregular firing of single neurons, and the network frequency of gamma oscillations varies extensively depending on the underlying mechanism. To document gamma oscillations, efforts should be made to distinguish them from mere increases of gamma-band power and/or increased spiking activity. Fourth, the magnitude of gamma oscillation is modulated by slower rhythms. Such cross-frequency coupling may serve to couple active patches of cortical circuits. Because of their ubiquitous nature and strong correlation with the "operational modes" of local circuits, gamma oscillations continue to provide important clues about neuronal population dynamics in health and disease.

/pdf/mechanisms-of-gamma-oscillations-4cjmph5v1o.pdf

Mechanisms of Gamma Oscillations

This article reviews the electroresponsive properties of single neurons in the mammalian central nervous system (CNS). In some of these cells the ionic conductances responsible for their excitability also endow them with autorhythmic electrical oscillatory properties. Chemical or electrical synaptic contacts between these neurons often result in network oscillations. In such networks, autorhythmic neurons may act as true oscillators (as pacemakers) or as resonators (responding preferentially to certain firing frequencies). Oscillations and resonance in the CNS are proposed to have diverse functional roles, such as (i) determining global functional states (for example, sleep-wakefulness or attention), (ii) timing in motor coordination, and (iii) specifying connectivity during development. Also, oscillation, especially in the thalamo-cortical circuits, may be related to certain neurological and psychiatric disorders. This review proposes that the autorhythmic electrical properties of central neurons and their connectivity form the basis for an intrinsic functional coordinate system that provides internal context to sensory input.

https://science.sciencemag.org/content/sci/242/4886/1654.full.pdf

The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function.

The thalamus as a neuronal oscillator.

The effects of depriving thalamic relay and intralaminar nuclei from their reticularis thalami (RE) inputs were investigated in acute and chronic experiments on cat. In acutely prepared animals, two (frontal and parasagittal) thalamic transections were made; extracellular and intracellular recordings were performed in RE-disconnected thalamic nuclei. In chronic experiments, the RE nuclear complex was lesioned by means of kainic acid injections; the activity of RE-deprived thalamocortical neurons was extracellularly studied during wakefulness and synchronized sleep. Two features distinguish RE-deprived nuclei from normal thalamic nuclei: absence of spindle-wave rhythmicity and all-burst activity of neurons. The abolition of spindle-related rhythms (sequences of 7- to 14-Hz waves recurring periodically with a rhythm of 0.1-0.2 Hz) in RE-disconnected thalamic nuclei and ipsilateral neocortical areas contrasted with normal spindling rhythmicity in contralateral EEG leads. Spontaneously occurring, rhythmic, long-lasting inhibitory postsynaptic potentials (IPSPs), as observed in intact preparations, were no longer observed in RE-disconnected thalamic neurons. The remaining inhibitory events consisted of short-duration IPSPs. The possibility that RE nucleus is a pacemaker for spindling rhythms, imposing them through inhibitory projections to target thalamic areas, is supported by our concurrent experiments that indicate RE neurons preserve their rhythmicity after disconnection from their major (cortical and thalamic) input sources. RE-deprived thalamocortical neurons exclusively exhibit high-frequency spike bursts whose intrinsic structure is identical to that of intact thalamic relay cells. Instead of the spindle-related sequences of bursts seen in normal animals, the bursts of RE-disconnected thalamocortical neurons are single events, with a dramatic rhythmicity at 1-2 Hz. The presumed mechanism of this rhythmicity is the periodic activation of a low-threshold somatic conductance whose deinactivation is brought about by temporal integration of short-lasting IPSPs. It is known that high-frequency spike bursts of thalamic relay neurons result from hyperpolarization of cell membrane. We blocked the underlying inhibitory events by bicuculline and reversibly changed the all-burst activity of RE-disconnected neurons into a tonic mode. Since the only activity of RE-deprived thalamocortical neurons consists of burst discharges, we hypothesize that local-circuit GABAergic neurons are released from inhibition after RE disconnection or lesion.

Abolition of spindle oscillations in thalamic neurons disconnected from nucleus reticularis thalami

The hypothesis that nucleus reticularis thalami (RE) is the generator of spindle rhythmicity during electroencephalogram (EEG) synchronization was tested in acutely prepared cats. Unit discharges a...

The deafferented reticular thalamic nucleus generates spindle rhythmicity

Whisking and sniffing are predominant aspects of exploratory behaviour in rodents. Yet the neural mechanisms that generate and coordinate these and other orofacial motor patterns remain largely uncharacterized. Here we use anatomical, behavioural, electrophysiological and pharmacological tools to show that whisking and sniffing are coordinated by respiratory centres in the ventral medulla. We delineate a distinct region in the ventral medulla that provides rhythmic input to the facial motor neurons that drive protraction of the vibrissae. Neuronal output from this region is reset at each inspiration by direct input from the pre-Botzinger complex, such that high-frequency sniffing has a one-to-one relationship with whisking, whereas basal respiration is accompanied by intervening whisks that occur between breaths. We conjecture that the respiratory nuclei, which project to other premotor regions for oral and facial control, function as a master clock for behaviours that coordinate with breathing.

/pdf/hierarchy-of-orofacial-rhythms-revealed-through-whisking-and-38ndq9dcpc.pdf

Martin Deschênes

Papers

The thalamus as a neuronal oscillator.

Abolition of spindle oscillations in thalamic neurons disconnected from nucleus reticularis thalami

The deafferented reticular thalamic nucleus generates spindle rhythmicity

Hierarchy of orofacial rhythms revealed through whisking and breathing

Corticothalamic projections from layer V cells in rat are collaterals of long-range corticofugal axons.