Melanopsin Retinal Ganglion Cells: relevance to circadian rhythms and sleep in neurodegeneration

In this PhD thesis 3 projects were addressed focusing on the melanopsin retinal ganglion cells (mRGCs) system and its relevance for circadian rhythms and sleep in neurodegeneration. The first project was aimed at completing the characterization of mRGCs system in hereditary optic neuropathies (LHON and DOA). We confirmed that mRGCs are relatively spared also in post-mortem retinal specimens of a DOA case and pupillometric evaluation of LHON patients showed preservation of the pupillary light reflex, with attenuated responses compared to controls. Cell studies failed to indicate a protective role exerted by melanopsin itself. The second project was aimed at characterizing the possible occurrence of optic neuropathy and rest-activity circadian rhythm dysfunction in Alzheimer (AD) and Parkinson disease (PD), as well as, at histological level, the possible involvement of mRGCs in AD. OCT studies demonstrated a subclinical optic neuropathy in both AD and PD patients, with a different pattern involving the superior and nasal quadrants in AD and the temporal quadrant in PD. Actigraphic studies demonstrated a tendency towards an increased intradaily variability (IV) and reduced relative amplitude (RA) of rest-activity circadian rhythm in AD and a significant increased IV a reduced RA in PD. Immunohistochemical analysis of post-mortem retinal specimens and optic nerve cross-sections of neuropathologically confirmed AD cases demonstrated a significant loss of mRGCs and a nearly significant loss of axons in AD compared to controls. The mRGCs were affected in AD independently from age and magnitude of axonal loss. Overall these results suggest a role of the mRGCs system in the pathogenesis of circadian dysfunction in AD. The third project was aimed at evaluating the possible association between a single nucleotide polymorphism of the OPN4 gene and chronotype or SAD, failing to find any significant association with chronotype, but showing a non-significant increment of TT genotype in SAD.

L'influenza del sonno sull'andamento temporale della consolidazione delle abilità procedurali

Background: It is well known, since the pioneristic observation by Jenkins and Dallenbach (Am J Psychol 1924;35:605-12), that a period of sleep provides a specific advantage for the consolidation of newly acquired informations. Recent research about the possible enhancing effect of sleep on memory consolidation has focused on procedural memory (part of non-declarative memory system, according to Squire’s taxonomy), as it appears the memory sub-system for which the available data are more consistent. The acquisition of a procedural skill follows a typical time course, consisting in a substantial practice-dependent learning followed by a slow, off-line improvement. Sleep seems to play a critical role in promoting the process of slow learning, by consolidating memory traces and making them more stable and resistant to interferences. If sleep is critical for the consolidation of a procedural skill, then an alteration of the organization of sleep should result in a less effective consolidation, and therefore in a reduced memory performance. Such alteration can be experimentally induced, as in a deprivation protocol, or it can be naturally observed in some sleep disorders as, for example, in narcolepsy. In this research, a group of narcoleptic patients, and a group of matched healthy controls, were tested in two different procedural abilities, in order to better define the size and time course of sleep contribution to memory consolidation. Experimental Procedure: A Texture Discrimination Task (Karni & Sagi, Nature 1993;365:250-2) and a Finger Tapping Task (Walker et al., Neuron 2002;35:205-11) were administered to two indipendent samples of drug-naive patients with first-diagnosed narcolepsy with cataplexy (International Classification of Sleep Disorder 2nd ed., 2005), and two samples of matched healthy controls. In the Texture Discrimination task, subjects (n=22) had to learn to recognize a complex visual array on the screen of a personal computer, while in the Finger Tapping task (n=14) they had to press a numeric sequence on a standard keyboard, as quickly and accurately as possible. Three subsequent experimental sessions were scheduled for each partecipant, namely a training session, a first retrieval session the next day, and a second retrieval session one week later. To test for possible circadian effects on learning, half of the subjects performed the training session at 11 a.m. and half at 17 p.m. Performance at training session was taken as a measure of the practice-dependent learning, while performance of subsequent sessions were taken as a measure of the consolidation level achieved respectively after one and seven nights of sleep. Between training and first retrieval session, all participants spent a night in a sleep laboratory and underwent a polygraphic recording. Results and Discussion: In both experimental tasks, while healthy controls improved their performance after one night of undisturbed sleep, narcoleptic patients showed a non statistically significant learning. Despite this, at the second retrieval session either healthy controls and narcoleptics improved their skills. Narcoleptics improved relatively more than controls between first and second retrieval session in the texture discrimination ability, while their performance remained largely lower in the motor (FTT) ability. Sleep parameters showed a grater fragmentation in the sleep of the pathological group, and a different distribution of Stage 1 and 2 NREM sleep in the two groups, being thus consistent with the hypothesis of a lower consolidation power of sleep in narcoleptic patients. Moreover, REM density of the first part of the night of healthy subjects showed a significant correlation with the amount of improvement achieved at the first retrieval session in TDT task, supporting the hypothesis that REM sleep plays an important role in the consolidation of visuo-perceptual skills. Taken together, these results speak in favor of a slower, rather than lower consolidation of procedural skills in narcoleptic patients. Finally, an explanation of the results, based on the possible role of sleep in contrasting the interference provided by task repetition is proposed.

Studio dei ritmi circadiani in pazienti in stato vegetativo

Objective: To study circadian rhythms (sleep-wake, body core temperature and melatonin circadian rhythms) in patients in vegetative state (VS) in basal condition and after nocturnal blue light exposure. Methods: Eight patients in VS underwent two experimental sessions of 48 consecutive hours polysomnography with body core temperature (BCT) measurement separated by a 1-week interval. For a week between the two experimental sessions, patients underwent nocturnal blue light exposure (470 nm; 58 μW/cm2 for 4 hours from 11.30 p.m. to 3.30 a.m.). Brain MRI, Level of Cognitive Functioning Scale (LCF) and Disability Rating Scale (DRS) were assessed just before polysomnography. Results: In all patients LCF and DRS confirmed vegetative state. All patients showed a sleep-wake cycle. All patients showed spindle or spindle-like activities. REM sleep was detected in only 7 patients. Patients displayed a greater fragmentation of nocturnal sleep due to frequent awakenings. Mean nocturnal sleep efficiency was significantly reduced (40±22 vs. 74±17) in VS patients respect to controls. A significantly increasing of phase 1 and a significantly reduction of phase 2 and phase 3 were observed too. A modification of diurnal sleep total time and of diurnal duration of REM sleep were found after 1-week nocturnal blue light exposure. All patients displayed a normal BCT 24-h rhythm in basal condition and after nocturnal blue light exposure. A reduction of mean nocturnal melatonin levels in basal condition were observed in VS patients. Melatonin suppression after blue light exposure was observed in only 2 patients in VS. Conclusions: We found disorganized sleep-wake cycle and a normal BCT rhythm in our patients in VS. A reduction of mean nocturnal melatonin levels in basal condition were observed too.

Mathematical models of cognitive processes

The research activity carried out during the PhD course was focused on the development of mathematical models of some cognitive processes and their validation by means of data present in literature, with a double aim: i) to achieve a better interpretation and explanation of the great amount of data obtained on these processes from different methodologies (electrophysiological recordings on animals, neuropsychological, psychophysical and neuroimaging studies in humans), ii) to exploit model predictions and results to guide future research and experiments. In particular, the research activity has been focused on two different projects: 1) the first one concerns the development of neural oscillators networks, in order to investigate the mechanisms of synchronization of the neural oscillatory activity during cognitive processes, such as object recognition, memory, language, attention; 2) the second one concerns the mathematical modelling of multisensory integration processes (e.g. visual-acoustic), which occur in several cortical and subcortical regions (in particular in a subcortical structure named Superior Colliculus (SC)), and which are fundamental for orienting motor and attentive responses to external world stimuli. This activity has been realized in collaboration with the Center for Studies and Researches in Cognitive Neuroscience of the University of Bologna (in Cesena) and the Department of Neurobiology and Anatomy of the Wake Forest University School of Medicine (NC, USA). PART 1. Objects representation in a number of cognitive functions, like perception and recognition, foresees distribute processes in different cortical areas. One of the main neurophysiological question concerns how the correlation between these disparate areas is realized, in order to succeed in grouping together the characteristics of the same object (binding problem) and in maintaining segregated the properties belonging to different objects simultaneously present (segmentation problem). Different theories have been proposed to address these questions (Barlow, 1972). One of the most influential theory is the so called “assembly coding”, postulated by Singer (2003), according to which 1) an object is well described by a few fundamental properties, processing in different and distributed cortical areas; 2) the recognition of the object would be realized by means of the simultaneously activation of the cortical areas representing its different features; 3) groups of properties belonging to different objects would be kept separated in the time domain. In Chapter 1.1 and in Chapter 1.2 we present two neural network models for object recognition, based on the “assembly coding” hypothesis. These models are networks of Wilson-Cowan oscillators which exploit: i) two high-level “Gestalt Rules” (the similarity and previous knowledge rules), to realize the functional link between elements of different cortical areas representing properties of the same object (binding problem); 2) the synchronization of the neural oscillatory activity in the γ-band (30-100Hz), to segregate in time the representations of different objects simultaneously present (segmentation problem). These models are able to recognize and reconstruct multiple simultaneous external objects, even in difficult case (some wrong or lacking features, shared features, superimposed noise). In Chapter 1.3 the previous models are extended to realize a semantic memory, in which sensory-motor representations of objects are linked with words. To this aim, the network, previously developed, devoted to the representation of objects as a collection of sensory-motor features, is reciprocally linked with a second network devoted to the representation of words (lexical network) Synapses linking the two networks are trained via a time-dependent Hebbian rule, during a training period in which individual objects are presented together with the corresponding words. Simulation results demonstrate that, during the retrieval phase, the network can deal with the simultaneous presence of objects (from sensory-motor inputs) and words (from linguistic inputs), can correctly associate objects with words and segment objects even in the presence of incomplete information. Moreover, the network can realize some semantic links among words representing objects with some shared features. These results support the idea that semantic memory can be described as an integrated process, whose content is retrieved by the co-activation of different multimodal regions. In perspective, extended versions of this model may be used to test conceptual theories, and to provide a quantitative assessment of existing data (for instance concerning patients with neural deficits). PART 2. The ability of the brain to integrate information from different sensory channels is fundamental to perception of the external world (Stein et al, 1993). It is well documented that a number of extraprimary areas have neurons capable of such a task; one of the best known of these is the superior colliculus (SC). This midbrain structure receives auditory, visual and somatosensory inputs from different subcortical and cortical areas, and is involved in the control of orientation to external events (Wallace et al, 1993). SC neurons respond to each of these sensory inputs separately, but is also capable of integrating them (Stein et al, 1993) so that the response to the combined multisensory stimuli is greater than that to the individual component stimuli (enhancement). This enhancement is proportionately greater if the modality-specific paired stimuli are weaker (the principle of inverse effectiveness). Several studies have shown that the capability of SC neurons to engage in multisensory integration requires inputs from cortex; primarily the anterior ectosylvian sulcus (AES), but also the rostral lateral suprasylvian sulcus (rLS). If these cortical inputs are deactivated the response of SC neurons to cross-modal stimulation is no different from that evoked by the most effective of its individual component stimuli (Jiang et al 2001). This phenomenon can be better understood through mathematical models. The use of mathematical models and neural networks can place the mass of data that has been accumulated about this phenomenon and its underlying circuitry into a coherent theoretical structure. In Chapter 2.1 a simple neural network model of this structure is presented; this model is able to reproduce a large number of SC behaviours like multisensory enhancement, multisensory and unisensory depression, inverse effectiveness. In Chapter 2.2 this model was improved by incorporating more neurophysiological knowledge about the neural circuitry underlying SC multisensory integration, in order to suggest possible physiological mechanisms through which it is effected. This endeavour was realized in collaboration with Professor B.E. Stein and Doctor B. Rowland during the 6 months-period spent at the Department of Neurobiology and Anatomy of the Wake Forest University School of Medicine (NC, USA), within the Marco Polo Project. The model includes four distinct unisensory areas that are devoted to a topological representation of external stimuli. Two of them represent subregions of the AES (i.e., FAES, an auditory area, and AEV, a visual area) and send descending inputs to the ipsilateral SC; the other two represent subcortical areas (one auditory and one visual) projecting ascending inputs to the same SC. Different competitive mechanisms, realized by means of population of interneurons, are used in the model to reproduce the different behaviour of SC neurons in conditions of cortical activation and deactivation. The model, with a single set of parameters, is able to mimic the behaviour of SC multisensory neurons in response to very different stimulus conditions (multisensory enhancement, inverse effectiveness, within- and cross-modal suppression of spatially disparate stimuli), with cortex functional and cortex deactivated, and with a particular type of membrane receptors (NMDA receptors) active or inhibited. All these results agree with the data reported in Jiang et al. (2001) and in Binns and Salt (1996). The model suggests that non-linearities in neural responses and synaptic (excitatory and inhibitory) connections can explain the fundamental aspects of multisensory integration, and provides a biologically plausible hypothesis about the underlying circuitry.

Influenza dell'Omeostasi Idrico-Elettrolitica sul Ciclo Veglia-Sonno

During the wake sleep (W-S) cycle in mammals, the alternation of the different states, wake, NREM sleep (NREMS) and REM sleep (REMS), is associated not only with electroencephalographic or behavioural changes, but also with modifications in the physiological regulations of the organism. The most evident change is the existence of a suspension of the somatic and autonomic thermoregulatory responses during REMS. Since thermoregulation is prevalently controlled by the Preoptic Area-Anterior Hypothalamus (PO-AH), its suspension during REM sleep has been taken as a sign of an impairment of the hypothalamic integrative activity that could explain the modifications in physiological regulation observed in this sleep stage. The recent finding from our laboratory that the secretion of the antidiuretic hormone arginine-vasopressin (AVP) in response to a central osmotic stimulation is quantitatively the same throughout the different stages of the W-S cycle, has shown that hypothalamic osmoregulation is not suspended during REMS. In order to clarify the extent of the hypothalamic involvement in the regulation of the W-S cycle, we have studied the effects of three days of water deprivation and of two days of recovery during which animals were allowed a free access to water, on the architecture of the W-S cycle. The condition of water deprivation represents a severe challenge involving neuroendocrine and autonomic hypothalamic regulations. In contradiction with thermoregulatory studies, in which it has been clearly demonstrated that a thermal challenge selectively reduces REMS occurrence, the results of this study show that REMS occurrence is mildly reduced only in the third day of water deprivation. The most striking effects produced by water deprivation appear to concern NREMS, which shows a selective and significant reduction in its slow EEG activity (delta-power) but not in its duration. The recovery period is mainly characterized by a disruption of the normal circadian rhythm of REMS occurrence and by a rebound of the delta power in NREMS. Thus, an autonomic challenge different from those related to thermoregulation and an endocrine challenge as the continuous secretion of AVP show to exert different effects on the stages of the wake-sleep cycle. Also, this study demonstrates that the impairment of the hypothalamic integrative activity thought to characterize the occurrence of REMS only involves thermoregulatory structures.

Advanced signal and receiver design for next generation OFDM systems

This thesis deal with the design of advanced OFDM systems. Both waveform and receiver design have been treated. The main scope of the Thesis is to study, create, and propose, ideas and novel design solutions able to cope with the weaknesses and crucial aspects of modern OFDM systems. Starting from the the transmitter side, the problem represented by low resilience to non-linear distortion has been assessed. A novel technique that considerably reduces the Peak-to-Average Power Ratio (PAPR) yielding a quasi constant signal envelope in the time domain (PAPR close to 1 dB) has been proposed.The proposed technique, named Rotation Invariant Subcarrier Mapping (RISM),is a novel scheme for subcarriers data mapping,where the symbols belonging to the modulation alphabet are not anchored, but maintain some degrees of freedom. In other words, a bit tuple is not mapped on a single point, rather it is mapped onto a geometrical locus, which is totally or partially rotation invariant. The final positions of the transmitted complex symbols are chosen by an iterative optimization process in order to minimize the PAPR of the resulting OFDM symbol. Numerical results confirm that RISM makes OFDM usable even in severe non-linear channels. Another well known problem which has been tackled is the vulnerability to synchronization errors. Indeed in OFDM system an accurate recovery of carrier frequency and symbol timing is crucial for the proper demodulation of the received packets. In general, timing and frequency synchronization is performed in two separate phases called PRE-FFT and POST-FFT synchronization. Regarding the PRE-FFT phase, a novel joint symbol timing and carrier frequency synchronization algorithm has been presented. The proposed algorithm is characterized by a very low hardware complexity, and, at the same time, it guarantees very good performance in in both AWGN and multipath channels. Regarding the POST-FFT phase, a novel approach for both pilot structure and receiver design has been presented. In particular, a novel pilot pattern has been introduced in order to minimize the occurrence of overlaps between two pattern shifted replicas. This allows to replace conventional pilots with nulls in the frequency domain, introducing the so called Silent Pilots. As a result, the optimal receiver turns out to be very robust against severe Rayleigh fading multipath and characterized by low complexity. Performance of this approach has been analytically and numerically evaluated. Comparing the proposed approach with state of the art alternatives, in both AWGN and multipath fading channels, considerable performance improvements have been obtained. The crucial problem of channel estimation has been thoroughly investigated, with particular emphasis on the decimation of the Channel Impulse Response (CIR) through the selection of the Most Significant Samples (MSSs). In this contest our contribution is twofold, from the theoretical side, we derived lower bounds on the estimation mean-square error (MSE) performance for any MSS selection strategy,from the receiver design we proposed novel MSS selection strategies which have been shown to approach these MSE lower bounds, and outperformed the state-of-the-art alternatives. Finally, the possibility of using of Single Carrier Frequency Division Multiple Access (SC-FDMA) in the Broadband Satellite Return Channel has been assessed. Notably, SC-FDMA is able to improve the physical layer spectral efficiency with respect to single carrier systems, which have been used so far in the Return Channel Satellite (RCS) standards. However, it requires a strict synchronization and it is also sensitive to phase noise of local radio frequency oscillators. For this reason, an effective pilot tone arrangement within the SC-FDMA frame, and a novel Joint Multi-User (JMU) estimation method for the SC-FDMA, has been proposed. As shown by numerical results, the proposed scheme manages to satisfy strict synchronization requirements and to guarantee a proper demodulation of the received signal.

Spinal cord injury: assessment of autonomic state-dependent control of cardiovascular system and body core temperature

Spinal cord injury (SCI) results not only in paralysis; but it is also associated with a range of autonomic dysregulation that can interfere with cardiovascular, bladder, bowel, temperature, and sexual function. The entity of the autonomic dysfunction is related to the level and severity of injury to descending autonomic (sympathetic) pathways. For many years there was limited awareness of these issues and the attention given to them by the scientific and medical community was scarce. Yet, even if a new system to document the impact of SCI on autonomic function has recently been proposed, the current standard of assessment of SCI (American Spinal Injury Association (ASIA) examination) evaluates motor and sensory pathways, but not severity of injury to autonomic pathways. Beside the severe impact on quality of life, autonomic dysfunction in persons with SCI is associated with increased risk of cardiovascular disease and mortality. Therefore, obtaining information regarding autonomic function in persons with SCI is pivotal and clinical examinations and laboratory evaluations to detect the presence of autonomic dysfunction and quantitate its severity are mandatory. Furthermore, previous studies demonstrated that there is an intimate relationship between the autonomic nervous system and sleep from anatomical, physiological, and neurochemical points of view. Although, even if previous epidemiological studies demonstrated that sleep problems are common in spinal cord injury (SCI), so far only limited polysomnographic (PSG) data are available. Finally, until now, circadian and state dependent autonomic regulation of blood pressure (BP), heart rate (HR) and body core temperature (BcT) were never assessed in SCI patients. Aim of the current study was to establish the association between the autonomic control of the cardiovascular function and thermoregulation, sleep parameters and increased cardiovascular risk in SCI patients.