Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation Is State-Dependent

Cortical oscillations play a fundamental role in organizing large-scale functional brain networks. Noninvasive brain stimulation with temporally patterned waveforms such as repetitive transcranial magnetic stimulation (rTMS) and transcranial alternating current stimulation (tACS) have been proposed to modulate these oscillations. Thus, these stimulation modalities represent promising new approaches for the treatment of psychiatric illnesses in which these oscillations are impaired. However, the mechanism by which periodic brain stimulation alters endogenous oscillation dynamics is debated and appears to depend on brain state. Here, we demonstrate with a static model and a neural oscillator model that recurrent excitation in the thalamo-cortical circuit, together with recruitment of cortico-cortical connections, can explain the enhancement of oscillations by brain stimulation as a function of brain state. We then performed concurrent invasive recording and stimulation of the human cortical surface to elucidate the response of cortical oscillations to periodic stimulation and support the findings from the computational models. We found that (1) stimulation enhanced the targeted oscillation power, (2) this enhancement outlasted stimulation, and (3) the effect of stimulation depended on behavioral state. Together, our results show successful target engagement of oscillations by periodic brain stimulation and highlight the role of nonlinear interaction between endogenous network oscillations and stimulation. These mechanistic insights will contribute to the design of adaptive, more targeted stimulation paradigms.     

Manipulating neural activity in physiologically classified neurons: triumphs and challenges

Understanding brain function requires knowing both how neural activity encodes information and how this activity generates appropriate responses. Electrophysiological, imaging and immediate early gene immunostaining studies have been instrumental in identifying and characterizing neurons that respond to different sensory stimuli, events and motor actions. Here we highlight approaches that have manipulated the activity of physiologically classified neurons to determine their role in the generation of behavioural responses. Previous experiments have often exploited the functional architecture observed in many cortical areas, where clusters of neurons share response properties. However, many brain structures do not exhibit such functional architecture. Instead, neurons with different response properties are anatomically intermingled. Emerging genetic approaches have enabled the identification and manipulation of neurons that respond to specific stimuli despite the lack of discernable anatomical organization. These approaches have advanced understanding of the circuits mediating sensory perception, learning and memory, and the generation of behavioural responses by providing causal evidence linking neural response properties to appropriate behavioural output. However, significant challenges remain for understanding cognitive processes that are probably mediated by neurons with more complex physiological response properties. Currently available strategies may prove inadequate for determining how activity in these neurons is causally related to cognitive behaviour.     

Oscillations in cell biology

Oscillations play an important role in many dynamic cellular processes. They can emerge as the collective dynamic behavior of an ensemble of interacting components in the cell. Examples include oscillations in cytoskeletal structures such as the axonemes of cilia. Spontaneous oscillations of mechano-sensitive hair bundles have been shown to give frequency selectivity and amplification to mechano-sensation. In some bacteria, oscillations of Min proteins are important for division site selection. Genetic oscillators form the basis of circadian clocks. All these oscillations share many general features. Models and theoretical approaches are essential for an understanding of the principles underlying these dynamic cellular processes.     

Understanding the brain by controlling neural activity

Causal methods to interrogate brain function have been employed since the advent of modern neuroscience in the nineteenth century. Initially, randomly placed electrodes and stimulation of parts of the living brain were used to localize specific functions to these areas. Recent technical developments have rejuvenated this approach by providing more precise tools to dissect the neural circuits underlying behaviour, perception and cognition. Carefully controlled behavioural experiments have been combined with electrical devices, targeted genetically encoded tools and neurochemical approaches to manipulate information processing in the brain. The ability to control brain activity in these ways not only deepens our understanding of brain function but also provides new avenues for clinical intervention, particularly in conditions where brain processing has gone awry.     

ATP-Dependent Infra-Slow (<0.1 Hz) Oscillations in Thalamic Networks

An increasing number of EEG and resting state fMRI studies in both humans and animals indicate that spontaneous low frequency fluctuations in cerebral activity at <0.1 Hz (infra-slow oscillations, ISOs) represent a fundamental component of brain functioning, being known to correlate with faster neuronal ensemble oscillations, regulate behavioural performance and influence seizure susceptibility. Although these oscillations have been commonly indicated to involve the thalamus their basic cellular mechanisms remain poorly understood. Here we show that various nuclei in the dorsal thalamus in vitro can express a robust ISO at ∼0.005–0.1 Hz that is greatly facilitated by activating metabotropic glutamate receptors (mGluRs) and/or Ach receptors (AchRs). This ISO is a neuronal population phenomenon which modulates faster gap junction (GJ)-dependent network oscillations, and can underlie epileptic activity when AchRs or mGluRs are stimulated excessively. In individual thalamocortical neurons the ISO is primarily shaped by rhythmic, long-lasting hyperpolarizing potentials which reflect the activation of A1 receptors, by ATP-derived adenosine, and subsequent opening of Ba²⁺-sensitive K⁺ channels. We argue that this ISO has a likely non-neuronal origin and may contribute to shaping ISOs in the intact brain.     

Dynamic Interaction of Spindles and Gamma Activity during Cortical Slow Oscillations and Its Modulation by Subcortical Afferents

Slow oscillations are a hallmark of slow wave sleep. They provide a temporal framework for a variety of phasic events to occur and interact during sleep, including the expression of high-frequency oscillations and the discharge of neurons across the entire brain. Evidence shows that the emergence of distinct high-frequency oscillations during slow oscillations facilitates the communication among brain regions whose activity was correlated during the preceding waking period. While the frequencies of oscillations involved in such interactions have been identified, their dynamics and the correlations between them require further investigation. Here we analyzed the structure and dynamics of these signals in anesthetized rats. We show that spindles and gamma oscillations coexist but have distinct temporal dynamics across the slow oscillation cycle. Furthermore, we observed that spindles and gamma are functionally coupled to the slow oscillations and between each other. Following the activation of ascending pathways from the brainstem by means of a carbachol injection in the pedunculopontine nucleus, we were able to modify the gain in the gamma oscillations that are independent of the spindles while the spindle amplitude was reduced. Furthermore, carbachol produced a decoupling of the gamma oscillations that are dependent on the spindles but with no effect on their amplitude. None of the changes in the high-frequency oscillations affected the onset or shape of the slow oscillations, suggesting that slow oscillations occur independently of the phasic events that coexist with them. Our results provide novel insights into the regulation, dynamics and homeostasis of cortical slow oscillations.     

Behavioural treatment of obesity.

Behaviour modification is a promising method of therapy for obesity. Helping the patient to gain control over environmental stimuli and positive reinforcement for the acquisition of appropriate eating and exercise habits are the basis of most treatment programs. While behavioural approaches have, on the average, resulted in greater weight loss than traditional measures during active therapy, responses have been highly variable, and the eventual outcome remains to be established by long-term follow-up studies. The best results are probably achieved with a combination of behavioural therapy and other measures such as a formal exercise program. Since primary prevention may be critical to the overall control of obesity, behavioural approaches may also be applied to young children.     

Systems approaches for the study of metabolic cycles in yeast

Over four decades ago, the first oscillations in metabolism in yeast cells were reported. Since then, multiple forms of oscillatory behavior have been observed in yeast grown under a variety of continuous culturing environments. The remarkable synchrony of cells undergoing such oscillations has made them ideal subjects for investigation using systems-based approaches. Herein, we briefly summarize previous work on the characterization of such oscillations using systems approaches, and present the long-period, Yeast Metabolic Cycle as an excellent model system for deciphering the temporal organization of fundamental cellular and metabolic processes at unprecedented resolution.     

Candidate gene studies in the 21st century: meta-analysis, mediation, moderation

The results of a large body of candidate gene studies of behavioural and psychiatric phenotypes have been largely inconclusive, with most findings failing to replicate reliably. A variety of approaches that augment the 'traditional' candidate gene approach are discussed, including the use of meta-analysis to combine findings from existing published reports, the investigation of mediating variables (including the use of intermediate phenotypes or endophenotypes) and the awareness of possible moderating influences (such as sex or ethnicity) and gene–environment interactions on genetic associations, possibly via epigenetic mechanisms. Advances in genotyping technology will also allow the routine use of haplotype analysis and linkage disequilibrium mapping. Examples of how these approaches may improve our understanding of how genetic associations with behavioural and psychiatric phenotypes obtain are given.     

The central complex and the genetic dissection of locomotor behaviour

The central complex is one of the most prominent, yet functionally enigmatic structures of the insect brain. Recently, behavioural, neuroanatomical and molecular approaches in Drosophila have joined forces to disclose specific components of higher locomotion control in larvae and adult flies, such as those that guarantee the optimal length and across-body symmetry of strides and an appropriate activity.     

Wanting,liking and welfare: The role of affective states in proximate control of behaviour in vertebrates

Animals choose a course of action countless times each day. To do so, they need to prioritise their behaviour within a set of alternative actions and decide which of these actions to perform at any one time and for how long, that is, determine when the behaviour has reached its desired effect. This process has classically been called the proximate behavioural control mechanism. Several aspects contribute to this process: internal and external stimuli, the emotions that they elicit, motivation (wants), behavioural goals, valuation, decision‐making and its modulation by mood, and the assessment of behavioural outcomes (liking). I will address all these aspects in the form of an integrated conceptual model. In the process of behavioural control, options need to be valued, and I will refer to evidence showing that an affective hedonic process in respect to (future) reward and punishment heavily affects this value. Moreover, I view motivation, the force that finally drives a specific behavioural output, as being primarily influenced by affective states or even corresponding fully to them. Given the feedback in behavioural control by (dis‐)liking outcomes of behaviour, I reason that in respect to welfare it is more important for animals to reach proximate goals than to avoid negative stimuli. All behavioural choices are modulated, and I show how mood, a long‐term affective state, can cause such modulation. Proximate control of behaviour takes place in the brain, and I will briefly discuss how current and future brain research may elucidate how the brain computes these processes. Furthermore, the inclusion of affective states in the conceptual model raises the question of the subjective experience of animals, and I will address some of the important open questions in this area of research. I will conclude that neural studies cannot currently provide a detailed and general theory on the algorithms of proximate behavioural control. In parallel to further developing these approaches, I propose to strengthen a refined ethological approach with a focus on the states of “wanting” and “liking” in ecologically meaningful circumstances and with a strong ontogenetic (within species) and comparative (between species) component. I consider this ethological approach to be a highly promising step in understanding proximate behavioural control.     

Synaptic mechanisms of synchronized gamma oscillations in inhibitory interneuron networks

Gamma frequency oscillations are thought to provide a temporal structure for information processing in the brain. They contribute to cognitive functions, such as memory formation and sensory processing, and are disturbed in some psychiatric disorders. Fast-spiking, parvalbumin-expressing, soma-inhibiting interneurons have a key role in the generation of these oscillations. Experimental analysis in the hippocampus and the neocortex reveals that synapses among these interneurons are highly specialized. Computational analysis further suggests that synaptic specialization turns interneuron networks into robust gamma frequency oscillators.     

Aging and biological rhythms in primates

All living organisms exhibit rhythmic activities in a wide variety of endocrine and behavioural parameters. These biological rhythms are endogenously generated by a circadian clock, and they are entrained by cyclic variations of environmental factors called synchronizers. Aging is associated with changes in amplitude and temporal organization of many daily and seasonal rhythms. In humans, daily rhythms of sleep, thermoregulation and hormonal secretion are severely altered with aging. Except in humans, studies on primates are scarce. However, age-related effects on biological rhythms are relatively consistent among primate species studied to date, including humans. Therefore, non human primates are of valuable use for such investigations. Most studies have been performed on the Rhesus macaque (longevity 35-40 years) and on the gray mouse lemur (longevity 10-12 years). Like in humans, the rest-activity rhythm becomes fragmented in aged primates, and shows an increased activity during the resting period. Aging induces a decrease in amplitude of the body temperature rhythm and an increase in energy consumption. Various hormonal secretions exhibit a decrease with aging, but the rhythmic components of these declines have not always been depicted. Moreover, changes (amplitude or phase) in daily variations depended of the hormonal secretion tested. Taken together, these results suggest that the biological clock in the brain would be a primary target of aging. The main central clock is located in the suprachiasmatic nucleus of the hypothalamus whose endogenous oscillations are entrained by light. In this brain structure, cellular function and sensitivity to light show drastic changes with age in the mouse lemur. The precise knowledge of age-related alterations of biological rhythms in primates can have important consequences on the development of new treatments to maintain or restore biological rhythmicity in the elderly.     

The evolution of social behaviour in Blaberid cockroaches with diverse habitats and social systems: phylogenetic analysis of behavioural sequences

The adequacy and utility of behavioural characters in phylogenetics is widely acknowledged, especially for stereotyped behaviours. However, the most common behaviours are not stereotyped, and these are usually seen as inappropriate or more difficult to analyze in a phylogenetic context. A few methods have been proposed to deal with such data, although they have never been tested on samples larger than six species, which limits their evolutionary interest. In the present study, we perform behavioural observations on 13 cockroach species and derive behavioural phylogenetic characters with the successive event‐pairing method. We combine these characters with morphological and molecular data (approximately 6800 bp) in a phylogenetic study of 41 species. We then reconstruct ancestral states of the behavioural data to study evolution of social behaviour in these insects with regard to their social systems (i.e. solitary, gregarious, and subsocial) and diversity of habitat choice. We report for the first time that nonstereotyped behavioural data are adequate for phylogenetic analyses: they are no more homoplastic than traditional data, and support several phylogenetic relationships that we discuss. From an evolutionary perspective, we show that the solitary species Thanatophyllum akinetum does not display original behavioural interactions, suggesting phylogenetic inertia of interactive behaviours despite a radical change in social structure. Conversely, the subsocial species Parasphaeria boleiriana shows original behavioural interactions, which could result from its peculiar social system or habitat. We conclude that phylogenetic approaches in studies of behaviour are useful for deciphering evolution of behaviour and discriminating between its different modalities, even for nonstereotyped characters. © 2013 The Linnean Society of London, Biological Journal of the Linnean Society, 2014, 111 , 58–77.     

Le développement du cerveau et les patterns de conduites typiques pendant l’adolescence (2e partie)

It is generally admitted that adolescence is a period of significant transition in the developmental process, but the scope and importance of adolescence-associated transformations in the brain are less well known. Linda Spear describes such changes in this work, presented here in the form of two articles, so as to make it easier to understand. Linda Spear is a developmental psychobiologist with a particular interest in the biological and behavioural changes that occur in animals during adolescence. Head of the department of Psychology at the State University of New York at Binghamton, her areas of research are behavioural neuroscience and psychopharmacology. Many years of research, connecting these different areas of interest, have led her to suggest an evolutionary and integrative approach to brain development during adolescence. In the first part of her work, she considers an evolutionary approach to some of the behaviour patterns typical of adolescence, which have been retained in various species. She then details adolescent-related brain transformations. In the second part of her work, changes in the forebrain are described. In conclusion, Linda Spear points out the implications of adolescent-associated neural transformations in both normal and atypical adolescent behaviours.     

Evolutionary mechanisms in behaviour: An intraspecific genetic approach

The study of the evolutionary mechanisms in behaviour and of the biological grounds of individual variability may be based on the comparative phylogenetic approach or on an intraspecific genetic analysis. The discontinuous behavioural progression evident across species is due to the assumption that the phylogenetic “scale” may be adopted in place of the phylogenetic trees and to the fact that today's existing species have evolved in parallel and may not be used to represent an evolutionary sequence. However, despite the existence of different motor and perceptual abilities the comparative approach has shown that many analogies exist between some basic brain mechanisms across species.The existence of outstanding individual differences within the same species must be regarded as a powerful potential tool since quantitative differences between the behaviours of different individuals belonging to the same species might later result in qualitatively different phenotypes. By using different strains and mutations of mice and different genetic approaches it has been possible to assess the mode of inheritance, to calculate estimates of heritability and of the number of segregating units for different behavioural traits ranging from avoidance to maze learning and activity. The existence of clear genetic correlations between some of these behavioural patterns has also allowed the identification of some single-gene mutants affecting these traits and the characterization of a gene responsible for a major effect on activity. This psychogenetic approach shows that there are behaviour differences which are the products of evolutionary adaptive processes and that the knowledge of the genetic systems that underlie these differences is a basic step for understanding the brain mechanisms in Man.     

节律性听觉刺激下的神经振荡同步化及其应用

大脑的感觉、情绪、认知等功能与其神经振荡模式有密切的联系。通过施加节律性刺激可以调控大脑的神经振荡模式,进而影响个体感受、情绪状态和认知功能等。与近年来常见的非侵入性电刺激和磁刺激相比,同样依赖于外部刺激输入的节律性感觉刺激具有成本低、易操作等优点,被认为是一种极具潜力的神经调控手段。本文以节律性听觉刺激为例,系统综述了不同类型的节律性听觉刺激如何影响大脑的神经振荡模式,进而影响相关状态和功能;并通过总结外部节律性听觉刺激对个体感知觉、情绪与认知功能的影响,讨论其生理机制和应用前景。     

Riding brain “waves” to identify human memory genes

While there is extensive research on memory-related oscillations and brain gene expression, the relationship between oscillations and gene expression has rarely been studied. Recently, progress has been made to identify specific genes associated with oscillations that are correlated with episodic memory. Neocortical regions, in particular the temporal pole, have been examined in this line of research due to their accessibility during neurosurgical procedures. By harnessing this accessibility, a unique and powerful study design has allowed gene expression and intracranial oscillatory data to be sourced from the same human patients. These studies have identified a plethora of understudied gene targets that should be further characterized with respect to human brain function. Future work should extend to other brain regions to increase our understanding of the genetic signatures of oscillations and, ultimately, human cognition.     

A Novel Extended Granger Causal Model Approach Demonstrates Brain Hemispheric Differences during Face Recognition Learning

Two main approaches in exploring causal relationships in biological systems using time-series data are the application of Dynamic Causal model (DCM) and Granger Causal model (GCM). These have been extensively applied to brain imaging data and are also readily applicable to a wide range of temporal changes involving genes, proteins or metabolic pathways. However, these two approaches have always been considered to be radically different from each other and therefore used independently. Here we present a novel approach which is an extension of Granger Causal model and also shares the features of the bilinear approximation of Dynamic Causal model. We have first tested the efficacy of the extended GCM by applying it extensively in toy models in both time and frequency domains and then applied it to local field potential recording data collected from in vivo multi-electrode array experiments. We demonstrate face discrimination learning-induced changes in inter- and intra-hemispheric connectivity and in the hemispheric predominance of theta and gamma frequency oscillations in sheep inferotemporal cortex. The results provide the first evidence for connectivity changes between and within left and right inferotemporal cortexes as a result of face recognition learning.     

Methods for parameter identification in oscillatory networks and application to cortical and thalamic 600 Hz activity.

Directed information transfer in the human brain occurs presumably by oscillations. As of yet, most approaches for the analysis of these oscillations are based on time-frequency or coherence analysis. The present work concerns the modeling of cortical 600 Hz oscillations, localized within the Brodmann Areas 3b and 1 after stimulation of the nervus medianus, by means of coupled differential equations. This approach leads to the so-called parameter identification problem, where based on a given data set, a set of unknown parameters of a system of ordinary differential equations is determined by special optimization procedures. Some suitable algorithms for this task are presented in this paper. Finally an oscillatory network model is optimally fitted to the data taken from ten volunteers.