Biomedical subjects
G Tononi
Publications and source records attributed to G Tononi.
Differences in brain gene expression between sleep and waking as revealed by mRNA differential display and cDNA microarray technology.
The consequences of sleep and sleep deprivation at the molecular level are largely unexplored. Knowledge of such molecular events is essential to understand the restorative processes occurring during sleep as well as the cellular mechanisms of sleep regulation. Here we review the available data about changes in neural gene expression across different behavioural states using candidate gene approaches such as in situ hybridization and immunocytochemistry. We then describe new techniques for systematic screening of gene expression in the brain, such as subtractive hybridization, mRNA differential display, and cDNA microarray technology, outlining advantages and disadvantages of these methods. Finally, we summarize our initial results of a systematic screening of gene expression in the rat brain across behavioural states using mRNA differential display and cDNA microarray technology. The expression pattern of approximately 7000 genes was analysed in the cerebral cortex of rats after 3 h of spontaneous sleep, 3 h of spontaneous waking, or 3 h of sleep deprivation. While the majority of transcripts were expressed at the same level among these three conditions, 14 mRNAs were modulated by sleep and waking. Six transcripts, four more expressed in waking and two more expressed in sleep, corresponded to novel genes. The eight known transcripts were all expressed at higher levels in waking than in sleep and included transcription factors and mitochondrial genes. A possible role for these known transcripts in mediating neural plasticity during waking is discussed.
Differences in gene expression during sleep and wakefulness.
Compared with our understanding of the electrophysiological correlates of sleep and wakefulness, the search for correlates at the molecular level is still in its infancy. However, the evidence obtained so far supports the hypothesis that reliable molecular correlates do exist. As will be summarized in this review, levels of receptor binding, second messengers and protein phosphorylation differ between sleep and wakefulness. Moreover, compelling data obtained in different animal species suggest that the transition between sleep and wakefulness is accompanied by significant changes in gene expression. Many immediate early genes, transcription factors, plasticity-related genes and mitochondrial genes are expressed at higher levels in wakefulness than in sleep, while a few still unknown genes are up-regulated during sleep. The ongoing systematic screening of gene expression across behavioural states should prove crucial in elucidating the regulatory mechanisms of sleep homeostasis and the functions of sleep.
Consciousness and complexity.
Conventional approaches to understanding consciousness are generally concerned with the contribution of specific brain areas or groups of neurons. By contrast, it is considered here what kinds of neural processes can account for key properties of conscious experience. Applying measures of neural integration and complexity, together with an analysis of extensive neurological data, leads to a testable proposal-the dynamic core hypothesis-about the properties of the neural substrate of consciousness.
Investigating neural correlates of conscious perception by frequency-tagged neuromagnetic responses.
In binocular rivalry, a subject views two incongruent stimuli through each eye but consciously perceives only one stimulus at a time, with a switch in perceptual dominance every few seconds. To investigate the neural correlates of perceptual dominance in humans, seven subjects were recorded with a 148-channel magnetoencephalography array while experiencing binocular rivalry. A red vertical grating flickering at one frequency was presented to one eye through a red filter and a blue horizontal grating flickering at a different frequency was presented to the other eye through a blue filter. Steady-state neuromagnetic responses at the two frequencies were used as tags for the two stimuli and analyzed with high-resolution power spectra. It was found that a large number of channels showed peaks at both frequencies, arranged in a horseshoe pattern from posterior to anterior regions, whether or not the subject was consciously perceiving the corresponding stimulus. However, the amount of power at the stimulus frequency was modulated in relation to perceptual dominance, being lower in many channels by 50-85% when the subject was not conscious of that stimulus. Such modulation by perceptual dominance, although not global, was distributed to a large subset of regions showing stimulus-related responses, including regions outside visual cortex. The results demonstrate a correlation between the conscious perception of a visual stimulus and the synchronous activity of large populations of neurons as reflected by steady-state neuromagnetic responses.
Functional clustering: identifying strongly interactive brain regions in neuroimaging data.
Brain imaging data are generally used to determine which brain regions are most active in an experimental paradigm or in a group of subjects. Theoretical considerations suggest that it would also be of interest to know which set of brain regions are most interactive in a given task or group of subjects. A subset of regions that are much more strongly interactive among themselves than with the rest of the brain is called here a functional cluster. Functional clustering can be assessed by calculating for each subset of brain regions a measure, the cluster index, obtained by dividing the statistical dependence within the subset by that between the subset and rest of the brain. A cluster index value near 1 indicates a homogeneous system, while a high cluster index indicates that a subset of brain regions forms a distinct functional cluster. Within a functional cluster, individual brain regions are ranked at the center or at the periphery according to their statistical dependence with the rest of that cluster. The applicability of this approach has been tested on PET data obtained from normal and schizophrenic subjects performing a set of cognitive tasks. Analysis of the data reveals evidence of functional clustering. A comparative evaluation of which regions are more peripheral or more central suggests distinct differences between the two groups of subjects. We consider the applicability of this analysis to data obtained with imaging modalities offering higher temporal resolution than PET.
Differences in gene expression between sleep and waking as revealed by mRNA differential display.
In order to systematically investigate differences in gene expression between sleep and waking, mRNA differential display was used to examine mRNAs from the cerebral cortex of rats who had been spontaneously asleep, spontaneously awake, or sleep deprived for a period of 3 h. It was found that, while the vast majority of transcripts were expressed at the same level among these three conditions, the expression of a subset of mRNAs was modulated by sleep and waking. Half of these transcripts had known sequences in databases. RNAs expressed at higher levels during waking included those for the transcription factors c-fos, NGFI-A, and rlf, as well as three transcripts encoded by the mitochondrial genome, those for subunit I of cytochrome c oxidase, subunit 2 of NADH dehydrogenase, and 12S rRNA. As shown by in situ hybridization, the level of RNAs encoded by the mitochondrial genome was uniformly higher during waking in many cortical regions and in several extracortical structures. By contrast, mRNA levels corresponding to two mitochondrial protein subunits encoded by the nuclear genome were unchanged. This finding suggests the hypothesis that an increase in the level of mitochondrial RNAs may represent a rapid regulatory response of neural tissue to adapt to the increased metabolic demand of waking with respect to sleep.
Changes in anti-phosphoserine and anti-phosphothreonine antibody binding during the sleep-waking cycle and after lesions of the locus coeruleus.
Cellular responses to many extracellular signals occur through phosphorylation or dephosphorylation of intracellular proteins. To determine whether changes in protein phosphorylation accompany the electrophysiological changes occurring during the sleep-waking cycle, immunocytochemical mapping of cells labeled with anti-phosphoserine and anti-phosphothreonine antibodies was performed on brain sections of sleeping and waking rats. Animals implanted for chronic polysomnographic recordings were sacrificed after either 3h of sleep or 3h of sleep deprivation by gentle handling. Anti-phosphoserine and anti-phosphothreonine staining was mainly localized in neurons and was high in some brain regions, such as cerebral cortex and hypothalamus, and low in others, such as the thalamus. In all cases, the number of cells labeled with either antibody in the cerebral cortex was markedly higher in rats sacrificed after 3h of waking than in rats sacrificed after 3h of sleep. Unilateral lesions of the locus coeruleus by local injection of 6-hydroxydopamine were performed in other animals to determine whether the increase in protein phosphorylation during waking was influenced by the activity of the noradrenergic system, which is higher in waking than in sleep. In animals sacrificed after 3h of spontaneous or forced waking, the number of labeled neurons in the cerebral cortex was decreased on the side in which noradrenergic fibers had been lesioned. These results suggest that 1) neurons exist physiologically in different states of phosphorylation, ranging from a state of very high phosphorylation (e.g., in the cerebral cortex) to a state of very low phosphorylation (e.g., in many thalamic nuclei); 2) the fraction of highly phosphorylated neurons in cerebral cortex is higher in waking than in sleep and 3) part of the immunoreactive phosphorylation present in highly labeled cortical neurons is controlled by the locus coeruleus.
Consciousness and the integration of information in the brain.
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Registration of neural maps through value-dependent learning: modeling the alignment of auditory and visual maps in the barn owl's optic tectum.
In the optic tectum (OT) of the barn owl, visual and auditory maps of space are found in close alignment with each other. Experiments in which such alignment has been disrupted have shown a considerable degree of plasticity in the auditory map. The external nucleus of the inferior colliculus (ICx), an auditory center that projects massively to the tectum, is the main site of plasticity; however, it is unclear by what mechanisms the alignment between the auditory map in the ICx and the visual map in the tectum is established and maintained. In this paper, we propose that such map alignment occurs through a process of value-dependent learning. According to this paradigm, value systems, identifiable with neuromodulatory systems having diffuse projections, respond to innate or acquired salient cues and modulate changes in synaptic efficacy in many brain regions. To test the self-consistency of this proposal, we have developed a computer model of the principal neural structures involved in the process of auditory localization in the barn owl. This is complemented by simulations of aspects of the barn owl phenotype and of the experimental environment. In the model, a value system is activated whenever the owl carries out a foveation toward an auditory stimulus. A term representing the diffuse release of a neuromodulator interacts with local pre- and postsynaptic events to determine synaptic changes in the ICx. Through large-scale simulations, we have replicated a number of experimental observations on the development of spatial alignment between the auditory and visual maps during normal visual experience, after the retinal image is shifted through prismatic goggles, and after the reestablishment of normal visual input. The results suggest that value-dependent learning is sufficient to account for the registration of auditory and visual maps of space in the OT of the barn owl, and they lead to a number of experimental predictions.
NGFI-A expression in the rat brain after sleep deprivation.
The effects of total sleep deprivation (SD) on the expression of the immediate-early gene NGFI-A were studied in the rat brain by in situ hybridization. Rats were manually sleep-deprived for 3, 6, 12 and 24 h starting at light onset (08:00 h) and for 12 h starting at dark onset (20:00 h). SD performed during the day induced a marked increase in NGFI-A mRNA levels with respect to sleep controls in many cerebrocortical areas and caudate-putamen, which was most evident after 6 h SD. A decrease was seen in hippocampus and thalamus, particularly after 12 h SD. Rats sleep-deprived for 12 h during the night showed an increase in NGFI-A expression in some cortical areas while rats sleep-deprived for 24 h showed few changes with respect to controls. The pattern of NGFI-A expression after forced wakefulness showed some differences from that observed after spontaneous wakefulness [M. Pompeiano, C. Cirelli and G. Tononi, Immediate early genes in spontaneous wakefulness and sleep: expression of c-fos and NGFI-A mRNA and protein, J. Sleep Res., 3 (1994) 80-96]. These observations are discussed with respect to the functional consequences of wakefulness in specific brain areas.
Neuronal gene expression in the waking state: a role for the locus coeruleus.
Several transcription factors are expressed at higher levels in the waking than in the sleeping brain. In experiments with rats, the locus coeruleus, a noradrenergic nucleus with diffuse projections, was found to regulate such expression. In brain regions depleted of noradrenergic innervation, amounts of c-Fos and nerve growth factor-induced A after waking were as low as after sleep. Phosphorylation of cyclic adenosine monophosphate response element-binding protein was also reduced. In contrast, electroencephalographic activity was unchanged. The reduced activity of locus coeruleus neurons may explain why the induction of certain transcription factors, with potential effects on plasticity and learning, does not occur during sleep.
A complexity measure for selective matching of signals by the brain.
We have previously derived a theoretical measure of neural complexity (CN) in an attempt to characterize functional connectivity in the brain. CN measures the amount and heterogeneity of statistical correlations within a neural system in terms of the mutual information between subsets of its units. CN was initially used to characterize the functional connectivity of a neural system isolated from the environment. In the present paper, we introduce a related statistical measure, matching complexity (CM), which reflects the change in CN that occurs after a neural system receives signals from the environment. CM measures how well the ensemble of intrinsic correlations within a neural system fits the statistical structure of the sensory input. We show that CM is low when the intrinsic connectivity of a simulated cortical area is randomly organized. Conversely, CM is high when the intrinsic connectivity is modified so as to differentially amplify those intrinsic correlations that happen to be enhanced by sensory input. When the input is represented by an individual stimulus, a positive value of CM indicates that the limited mutual information between sensory sheets sampling the stimulus and the rest of the brain triggers a large increase in the mutual information between many functionally specialized subsets within the brain. In this way, a complex brain can deal with context and go "beyond the information given."
In vivo antisense approaches to the role of immediate early gene expression in the brain.
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Sleep-waking changes after c-fos antisense injections in the medial preoptic area.
The preoptic hypothalamus has been consistently implicated in the homeostatic regulation of sleep and waking. Recently, it was shown that periods of either spontaneous or forced wakefulness result in the induction in this region of the immediate-early gene c-fos. In this study, antisense oligonucleotides complementary to c-fos mRNA were employed to interfere with the expression of Fos protein. Injections in the rat medial preoptic area of c-fos antisense, but not of sense, oligonucleotides blocked the expression of Fos protein detected immunocytochemically. Rats receiving bilateral antisense injections showed a higher percentage of wakefulness the day after the injection than controls receiving sense or sham injections or antisense injections outside the preoptic area. These results suggest that blocking the expression of Fos protein in the preoptic hypothalamus may interfere with the homeostatic regulation of sleep and wakefulness.
c-Fos expression during wakefulness and sleep.
We have recently demonstrated that c-fos expression is strongly induced by both spontaneous and forced wakefulness in many brain regions. c-Fos expression was considerably increased in regions involved in the regulation of arousal states, such as the locus coeruleus (noradrenergic neurons) and the medial preoptic area (non-GABAergic neurons). With c-fos antisense injection in the medial preoptic area, we demonstrated that c-fos expression in this region is causally involved in sleep regulation. c-Fos expression in other areas, such as the cerebral cortex and the hippocampus, may be related to the functional consequences of prolonged wakefulness and to the need of sleep. Further work should explore the mechanisms leading to changes in the expression of c-fos, and possibly of its target genes, during the sleep-wake cycle.
Sleep deprivation and c-fos expression in the rat brain.
This study examined the effects of sleep deprivation on the expression of the immediate early gene c-fos in the brain with both in situ hybridization and immunocytochemistry. Rats were manually sleep-derived for 3 h, 6 h, 12 h, and 24 h starting at light onset (08.00 hours), and for 12 h starting at dark onset (20.00 hours). c-Fos expression was found to be higher in sleep-deprived rats with respect to control animals in several brain areas. The increase was evident both in terms of c-fos mRNA and Fos protein, although with a different time course. Among the areas that showed a consistent induction of c-fos were many cortical regions, the medial preoptic area and the posterior hypothalamic area, some thalamic nuclei, and several nuclei of the dorsal pontine tegmentum. The pattern of c-fos expression after sleep deprivation was very similar to that observed after comparable periods of spontaneous wakefulness (Pompeiano et al. 1994). In general, the increase in c-fos expression was not simply proportional to the amount of previous wakefulness. In many areas, the highest levels of c-fos were seen after 3 h of sleep deprivation. These observations are discussed with respect to the homeostatic regulation of sleep and to the functional consequences of wakefulness in specific brain areas.
Fos-positive cells associated with forced wakefulness in the hypothalamus of the rat are not GABAergic.
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