Self-consistent non-Markovian theory of a quantum-state evolution for quantum-information processing

We study non-Markovian decoherence phenomena by employing projection-operator formalism when a quantum system (a quantum bit or a register of quantum bits) is coupled to a reservoir. By projecting out the degree of freedom of the reservoir, we derive a non-Markovian master equation for the system, which is reduced to a Lindblad master equation in Markovian limit, and obtain the operator sum representation for the time evolution. It is found that the system is decohered slower in the non- Markovian reservoir than the Markovian because the quantum information of the system is memorized in the non-Markovian reservoir. We discuss the potential importance of non-Markovian reservoirs for quantum-information processing.

Cognitive biases and addiction: an evolution in theory and method

An evolution in theoretical models and methodological paradigms for investigating cognitive biases in the addictions is discussed. Anomalies in traditional cognitive perspectives, and problems with the self-report methods which underpin them, are highlighted. An emergent body of cognitive research, contextualized within the principles and paradigms of cognitive neuropsychology rather than social learning theory, is presented which, it is argued, addresses these anomalies and problems. Evidence is presented that biases in the processing of addiction-related stimuli, and in the network of propositions which motivate addictive behaviours, occur at automatic, implicit and pre-conscious levels of awareness. It is suggested that methods which assess such implicit cognitive biases (e.g. Stroop, memory, priming and reaction-time paradigms) yield findings which have better predictive utility for ongoing behaviour than those biases determined by self-report methods of introspection. The potential utility of these findings for understanding "loss of control" phenomena, and the desynchrony between reported beliefs and intentions and ongoing addictive behaviours, is discussed. Applications to the practice of cognitive therapy are considered.

Microstructural analysis of non-woven fabrics using scanning electron microscopy and image processing. Part 1:Development and verification of the methods

This paper reports image analysis methods that have been developed to study the microstructural changes of non-wovens made by the hydroentanglement process. The validity of the image processing techniques has been ascertained by applying them to test images with known properties. The parameters in preprocessing of the scanning electron microscope (SEM) images used in image processing have been tested and optimized. The fibre orientation distribution is estimated using fast Fourier transform (FFT) and Hough transform (HT) methods. The results obtained using these two methods are in good agreement. The HT method is more demanding in computational time compared with the Fourier transform (FT) method. However, the advantage of the HT method is that the actual orientation of the lines can be concluded directly from the result of the transform without the need for any further computation. The distribution of the length of the straight fibre segments of the fabrics is evaluated by the HT method. The effect of curl of the fibres on the result of this evaluation is shown.

The role of daytime napping in sleepiness and cognitive function in 24-70 year olds /

Daytime napping improves well-being and performance for young adults. The benefits of napping in older adults should be investigated because they have fragmented nocturnal sleep, cognitive declines, and more opportunity to nap. In addition, experience with napping might influence the benefits of napping. Study 1 examined the role of experience with napping in young adults. Habitual (n = 23) and non-habitual nappers (n = 16) were randomly assigned to a 20-minute nap or a 20- minute reading condition. Both groups slept the same according to macro architecture. However, microarchitecture showed greater theta, alpha, and beta power during Stage 1, and greater delta, alpha, and sigma power during Stage 2 for habitual nappers, for the most part indicating better sleep. Both groups felt less sleepy after the nap. P2 latency, reflecting information processing, decreased after the nap for habitual nappers, and after the control condition for non-habitual nappers. In sum, both groups who slept felt better, but only the habitual nappers who napped gained a benefit in terms of information processing. Based on this outcome, experience with napping was investigated in Study 2. Study 2 examined the extent to which daytime napping enhanced cognition in older adults, especially frontal lobe function. Cognitive deficits in older adults may be due to sleep loss and age-related decline in brain functioning. Longer naps were expected to provide greater improvement, particularly for older adults, by reducing sleep pressure. Thirty-two adults, aged 24-70 years, participated in a repeated measures dose-response manipulation of sleep pressure. Twenty- and sixty-minute naps were compared to a no-nap condition in three age groups. Mood, subjective sleepiness, reaction time, working memory, 11 novelty detection, and waking electro physiological measures were taken before and after each condition. EEG was also recorded during each nap or rest condition. Napping reduced subjective sleepiness, improved working memory (serial addition / subtraction task), and improved attention (reduced P2 amplitude). Physiological sleepiness (i.e., waking theta power) increased following the control condition, and decreased after the longer nap. Increased beta power after the short nap, and seen with older adults overall, may have reflected increased mental effort. Older adults had longer latencies and smaller amplitudes for several event-related potential components, and higher beta and gamma power. Following the longer nap, gamma power decreased for older adults, but increased for young adults. Beta and gamma power may represent enhanced alertness or mental effort. In addition, Nl amplitude showed that benefits depend on the preceding nap length as well as age. Since the middle group had smaller Nl amplitudes following the short nap and rest condition, it is possible that they needed a longer nap to maintain alertness. Older adults did not show improvements to Nl amplitude following any condition; they may have needed a nap longer than 60 minutes to gain benefits to attention or early information processing. Sleep characteristics were not related to benefits of napping. Experience with napping was also investigated. Subjective data confirmed habitual nappers were happier to nap, while non-habitual nappers were happier to stay awake, reflecting self-identified napping habits. Non-habitual nappers were sleepier after a nap, and had faster brain activity (i.e., heightened vigilance) at sleep onset. These reasons may explain why non-habitual nappers choose not to nap.

Réponse auditive oscillatoire chez le non-voyant : investigation par magnétoencéphalographie

Les personnes non-voyantes montrent dans les différents aspects de leurs vies qu’elles sont capables de s’adapter à la privation visuelle en utilisant les capacités intactes comme l’ouï ou le toucher. Elles montrent qu’elles peuvent bien évoluer dans leur environnement en absence de vision et démontrent même des fois des habiletés supérieures à celles des personnes voyantes. La recherche de ces dernières décennies s’est beaucoup intéressée aux capacités adaptatives des non-voyants surtout avec l’avènement des nouvelles techniques d’imagerie qui ont permis d’investiguer des domaines qui ne l’étaient pas ou l’étaient difficilement avant. Les capacités supérieures des non voyants dans l’utilisation plus efficace des informations auditives et tactiles semblent avoir leur base neuronale dans le dans le cortex visuel désafférenté, qui continu à être fonctionnel après la privation sensorielle et s’en trouve recruté pour le traitement de stimulations dites intermodales : auditives, tactiles et même montre une implication dans des processus de plus haut niveau, comme la mémoire ou le langage. Cette implication fonctionnelle intermodale résulte de la plasticité du cortex visuel c'est-à-dire sa capacité à changer sa structure, sa fonction et d’adapter ses interactions avec les autres systèmes en l’absence de vision. La plasticité corticale n’est pas exclusive au cortex visuel mais est un état permanent de tout le cerveau. Pour mesurer l’activité du cortex visuel des non voyants, une mesure d’excitabilité de ses neurones consiste à mesurer le temps de recouvrement de l’onde N1 en potentiels évoqués, qui est plus rapide chez les non voyants dans la modalité auditive. En effet, les réponses en potentiels et champs évoqués ont été utilisés en EEG/MEG pour mettre en évidence des changements plastiques dans le cortex visuel des non-voyants pour le traitement de stimuli dans les modalités auditives et tactiles. Ces réponses étaient localisées dans les régions postérieures chez les non voyants contrairement aux contrôles voyants. Un autre type de réponse auditive a reçu moins d’intérêt dans la recherche concernant la réorganisation fonctionnelle en relation avec la privation sensorielle, il s’agit de la réponse auditive oscillatoire (Auditory Steady-State Response ASSR). C’est une réponse qui a l’avantage d’osciller au rythme de stimulation et d’être caractérisé par une réponse des aires auditives étiquetée à la fréquence de stimulation. Cette étiquette se présente sous la forme qu’un pic d’énergie spectrale important qui culmine aux fréquences présentes dans la stimulation. Elle a également l’avantage d’être localisée dans les régions auditives primaires, de là tout changement de localisation de cette réponse chez des non voyants en faveur des régions visuelles pourrait être considéré comme une évidence de la réorganisation fonctionnelle qui s’opère après une privation sensorielle précoce. Le but de cette thèse est donc d’utiliser la réponse oscillatoire à l’écoute des sons modulés en amplitude (MA) pour mettre en évidence les corrélats de la réorganisation fonctionnelle dans le cortex visuel des non-voyants précoces. La modulation de la réponse auditive dans les régions visuelles nous permettra de montrer qu’une réorganisation est possible chez les non-voyants pour ce traitement intermodal. La première étude est une validation du paradigme expérimental «frequency tagged sounds». Il s’agit de montrer qu’une tâche de détection de changement dans la stimulation, permet de moduler la réponse ASSR aux sons modulés en amplitude en vue de l’utiliser dans les études chez les non voyants et dans les conditions d’une privation visuelle transitoire (avec les yeux bandés). Un groupe de sujets voyants ont réalisé une tâche de détection de changement dans la stimulation les yeux ouverts dans deux conditions : écoute active qui consiste à détecter un changement dans la fréquence porteuse de la modulation en appuyant avec l’index droit sur un bouton de réponse et une condition d’écoute passive. Les sons étaient présentés en écoute monaurale et dichotique. Les résultats ont montré une différence significative à l’occurrence du changement dans la stimulation en écoute dichotique seulement. Les schémas de plus grande réponse controlatérale et de suppression binaurale décrit dans la littérature ont été confirmés. La deuxième étude avait pour but de mettre en évidence une réorganisation rapide de la réponse ASSR chez un groupe de sujets voyants dans les conditions de privation visuelle transitoire de courte durée, par bandage des yeux pendant six heures. Le même protocole expérimental que la première étude a été utilisé en écoute active seulement. Les résultats montrent que dans ces conditions une modulation de la réponse corticale en écoute dichotique dans les régions visuelles est possible. Ces sources d’activité occipitale adoptent une propriété du cortex auditif qui est le battement binaural, c'est-à-dire l’oscillation de la réponse ASSR à la différence des fréquences présentées dans chaque oreille. Cet effet est présent chez la moitié des sujets testés. La représentation corticale des sources occipitales évolue durant la période de privation et montre un déplacement des sources d’activité dans la direction antéropostérieure à la fin de la période de privation. La troisième étude a permis de comparer le traitement de la réponse ASSR dans un groupe de non-voyants congénitaux à un groupe de voyants contrôles, pour investiguer les corrélats de la réorganisation fonctionnelle de cette réponse après une privation sensorielle de longue durée c'est-à-dire chez des non voyants congénitaux. Les résultats montrent des différences significatives dans la représentation spectrale de la réponse entre les deux groupes avec néanmoins des activations temporales importantes aussi bien chez les non voyants que chez les contrôles voyants. Des sources distribuées ont été localisées dans les régions associatives auditives dans les deux groupes à la différence des non voyants où il y avait en plus l’implication des régions temporales inférieures, connues comme étant activées par la vision des objets chez les voyants et font partie de la voie visuelle du quoi. Les résultats présentés dans le cadre de cette thèse vont dans le sens d’une réorganisation rapide de la réponse auditive oscillatoire après une privation visuelle transitoire de courte durée par l’implication des régions visuelles dans le traitement de la réponse ASSR par l’intermédiaire du démasquage de connections existantes entre le cortex visuel et le cortex auditif. La privation visuelle de longue durée, elle conduit à des changements plastiques, d’une part intra modaux par l’extension de l’activité aux régions temporales supérieures et médianes. D’autre part, elle induit des changements inter modaux par l’implication fonctionnelle des régions temporales inférieures visuelles dans le traitement des sons modulés en amplitude comme objets auditifs alors qu’elles sont normalement dédiées au traitement des objets visuels. Cette réorganisation passe probablement par les connections cortico-corticales.

Neural competition for conscious representation across time: An fMRI study

Background The information processing capacity of the human mind is limited, as is evidenced by the attentional blink (AB) - a deficit in identifying the second of two temporally-close targets (T1 and T2) embedded in a rapid stream of distracters. Theories of the AB generally agree that it results from competition between stimuli for conscious representation. However, they disagree in the specific mechanisms, in particular about how attentional processing of T1 determines the AB to T2. Methodology/Principal Findings The present study used the high spatial resolution of functional magnetic resonance imaging (fMRI) to examine the neural mechanisms underlying the AB. Our research approach was to design T1 and T2 stimuli that activate distinguishable brain areas involved in visual categorization and representation. ROI and functional connectivity analyses were then used to examine how attentional processing of T1, as indexed by activity in the T1 representation area, affected T2 processing. Our main finding was that attentional processing of T1 at the level of the visual cortex predicted T2 detection rates Those individuals who activated the T1 encoding area more strongly in blink versus no-blink trials generally detected T2 on a lower percentage of trials. The coupling of activity between T1 and T2 representation areas did not vary as a function of conscious T2 perception. Conclusions/Significance These data are consistent with the notion that the AB is related to attentional demands of T1 for selection, and indicate that these demands are reflected at the level of visual cortex. They also highlight the importance of individual differences in attentional settings in explaining AB task performance.

Online bayesian inference in some time-frequency representations of non-stationary processes

The use of Bayesian inference in the inference of time-frequency representations has, thus far, been limited to offline analysis of signals, using a smoothing spline based model of the time-frequency plane. In this paper we introduce a new framework that allows the routine use of Bayesian inference for online estimation of the time-varying spectral density of a locally stationary Gaussian process. The core of our approach is the use of a likelihood inspired by a local Whittle approximation. This choice, along with the use of a recursive algorithm for non-parametric estimation of the local spectral density, permits the use of a particle filter for estimating the time-varying spectral density online. We provide demonstrations of the algorithm through tracking chirps and the analysis of musical data.

Improved processing speed: online computer-based cognitive training in older adults

In an increasingly aging population, a number of adults are concerned about declines in their cognitive abilities. Online computer-based cognitive training programs have been proposed as an accessible means by which the elderly may improve their cognitive abilities; yet, more research is needed in order to assess the efficacy of these programs. In the current study, a commercially available 21-day online computer-based cognitive training intervention was administered to 34 individuals aged between 53 and 75 years. The intervention consisted of computerized training in reaction time, inspection time, short-term memory for words, executive function, visual spatial acuity, arithmetic, visual spatial memory, visual scanning/discrimination, and n-back working memory. An active solitaire control group was also included. Participants were tested at baseline, posttraining and at three-weeks follow-up using a battery of neuropsychological outcome measures. These consisted of simple reaction time, complex reaction time, digit forwards and backwards, spatial working memory, digit symbol substitution, RAVLT, and trail making. Significant improvement in simple reaction time and choice reaction time task was found in the cognitive training group both posttraining and at three-weeks follow-up. However, no significant improvements on the other cognitive tasks were found. The training program was found to be successful in achieving transfer of trained cognitive abilities in speed of processing to similar untrained tasks. © 2012 Copyright Taylor and Francis Group, LLC.

The Effects of Processing Non-Timber Forest Products and Trade Partnerships on People's Well-Being and Forest Conservation in Amazonian Societies

This study evaluated whether processing non-timber forest products (NTFPs) and establishing trade partnerships between forest communities and companies enhance the outcomes of NTFP commercialization. In particular, we evaluated whether product processing, partnerships, or their combination was associated with a number of outcomes related to the well-being of forest inhabitants and forest conservation. We based our analyses on ethnographic and quantitative data (i.e., survey and systematic observations) gathered at seven communities from five societies of the Brazilian and Bolivian Amazon. Our results indicated that product processing and partnerships do not represent a silver bullet able to improve the results of NTFP commercialization in terms of well-being and conservation indicators. Compared with cases without interventions, households adopting partnerships but not product processing were most often associated with improved economic proxies of well-being (total income, NTFP income, food consumption and gender equality in income). In comparison, the combination of product processing and partnerships was associated with similar outcomes. Unexpectedly, product processing alone was associated with negative outcomes in the economic indicators of well-being. All of the investigated strategies were associated with less time spent in social and cultural activities. With respect to forest conservation, the strategies that included a partnership with or without processing produced similar results: while household deforestation tended to decrease, the hunting impact increased. Processing alone was also associated with higher levels of hunting, though it did not reduce deforestation. Our results indicate that establishing partnerships may enhance the outcomes of NTFP trade in terms of the financial outcomes of local communities, but practitioners need to use caution when adopting the processing strategy and they need to evaluate potential negative results for indicators of social and cultural activities. With respect to conservation, the three strategies are promising for reducing deforestation, but more pervasive impacts, such as hunting, might increase.

Modeling of continuous thermal processing of a non-Newtonian liquid food under diffusive laminar flow in a tubular system

The classic conservative approach for thermal process design can lead to over-processing, especially for laminar flow, when a significant distribution of temperature and of residence time occurs. In order to optimize quality retention, a more comprehensive model is required. A model comprising differential equations for mass and heat transfer is proposed for the simulation of the continuous thermal processing of a non-Newtonian food in a tubular system. The model takes into account the contribution from heating and cooling sections, the heat exchange with the ambient air and effective diffusion associated with non-ideal laminar flow. The study case of soursop juice processing was used to test the model. Various simulations were performed to evaluate the effect of the model assumptions. An expressive difference in the predicted lethality was observed between the classic approach and the proposed model. The main advantage of the model is its flexibility to represent different aspects with a small computational time, making it suitable for process evaluation and design. (C) 2012 Elsevier Ltd. All rights reserved.

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.

Die Einheit des Bewusstseins und das Phänomen der Synästhesie

Synästhetiker schmecken Berührungen, sehen Farben und Formen, wenn sie Musik hören oder einen Duft riechen. Es wurden auch so außergewöhnliche Formen wie Wochentage-Farben-, Berührung-Geruch- oder Schmerz-Farben-Synästhesien gefunden. Die von Neuro- wissenschaftlern und Philosophen als „Bindung“ genannte Fähigkeit mehrere Reize, die in verschiedenen Hirnarealen verarbeitet werden, miteinander zu koppeln und zu einer einheitlichen Repräsentation bzw. erfahrenen Einheit des Bewusstseins zusammenzufassen, betrifft jeden gesunden Mensch. Synästhetiker sind aber Menschen, deren Gehirne zur „Hyperbindung“ oder zum hyperkohärentem Erleben befähigt sind, da bei ihnen wesentlich mehr solcher Kopplungen entstehen. Das Phänomen der Synästhesie ist schon seit mehreren Jahrhunderten bekannt, aber immer noch ein Rätsel. Bisher glaubten Forscher, solche Phänomene beruhten bloß auf überdurchschnittlich dichten neuronalen Verdrahtungen zwischen sensorischen Hirnregionen. Aus der aktuellen Forschung kann man jedoch schließen, dass die Ursache der Synästhesie nicht allein eine verstärkte Verbindung zwischen zwei Sinneskanälen ist. Laut eigener Studien ist der Sinnesreiz selbst sowie seine fest verdrahteten sensorischen Pfade nicht notwendig für die Auslösung des synästhetischen Erlebens. Eine grundlegende Rolle spielt dabei dessen Bedeutung für einen Synästhetiker. Für die Annahme, dass die Semantik für die synästhetische Wahrnehmung das Entscheidende ist, müssten synästhetische Assoziationen ziemlich flexibel sein. Und genau das wurde herausgefunden, nämlich, dass normalerweise sehr stabile synästhetische Assoziationen unter bestimmten Bedingungen sich auf neue Auslöser übertragen lassen. Weitere Untersuchung betraf die neu entdeckte Schwimmstil-Farbe-Synästhesie, die tritt hervor nicht nur wenn Synästhetiker schwimmen, aber auch wenn sie über das Schwimmen denken. Sogar die Namen dieser charakteristischen Bewegungen können ihre Farbempfindungen auslösen, sobald sie im stimmigen Kontext auftauchen. Wie man von anderen Beispielen in der Hirnforschung weiß, werden häufig benutzte neuronale Pfade im Laufe der Zeit immer stärker ausgebaut. Wenn also ein Synästhetiker auf bestimmte Stimuli häufig stoßt und dabei eine entsprechende Mitempfindung bekommt, kann das mit der Zeit auch seine Hirnanatomie verändern, so dass die angemessenen strukturellen Verknüpfungen entstehen. Die angebotene Erklärung steht also im Einklang mit den bisherigen Ergebnissen. Die vorliegende Dissertation veranschaulicht, wie einheitlich und kohärent Wahrnehmung, Motorik, Emotionen und Denken (sensorische und kognitive Prozesse) im Phänomen der Synästhesie miteinander zusammenhängen. Das synästhetische nicht-konzeptuelle Begleiterlebnis geht mit dem konzeptuellen Inhalt des Auslösers einher. Ähnlich schreiben wir übliche, nicht-synästhetische phänomenale Eigenschaften den bestimmten Begriffen zu. Die Synästhesie bringt solche Verschaltungen einfach auf beeindruckende Weise zum Ausdruck und lässt das mannigfaltige Erleben stärker integrieren.

A multivariate approach for processing magnetization effects in triggered event-related functional magnetic resonance imaging time series

Triggered event-related functional magnetic resonance imaging requires sparse intervals of temporally resolved functional data acquisitions, whose initiation corresponds to the occurrence of an event, typically an epileptic spike in the electroencephalographic trace. However, conventional fMRI time series are greatly affected by non-steady-state magnetization effects, which obscure initial blood oxygen level-dependent (BOLD) signals. Here, conventional echo-planar imaging and a post-processing solution based on principal component analysis were employed to remove the dominant eigenimages of the time series, to filter out the global signal changes induced by magnetization decay and to recover BOLD signals starting with the first functional volume. This approach was compared with a physical solution using radiofrequency preparation, which nullifies magnetization effects. As an application of the method, the detectability of the initial transient BOLD response in the auditory cortex, which is elicited by the onset of acoustic scanner noise, was used to demonstrate that post-processing-based removal of magnetization effects allows to detect brain activity patterns identical with those obtained using the radiofrequency preparation. Using the auditory responses as an ideal experimental model of triggered brain activity, our results suggest that reducing the initial magnetization effects by removing a few principal components from fMRI data may be potentially useful in the analysis of triggered event-related echo-planar time series. The implications of this study are discussed with special caution to remaining technical limitations and the additional neurophysiological issues of the triggered acquisition.

Increased sensitivity in mapping task demand in visuospatial processing using reaction-time-dependent hemodynamic response predictors in rapid event-related fMRI

Searching for the neural correlates of visuospatial processing using functional magnetic resonance imaging (fMRI) is usually done in an event-related framework of cognitive subtraction, applying a paradigm comprising visuospatial cognitive components and a corresponding control task. Besides methodological caveats of the cognitive subtraction approach, the standard general linear model with fixed hemodynamic response predictors bears the risk of being underspecified. It does not take into account the variability of the blood oxygen level-dependent signal response due to variable task demand and performance on the level of each single trial. This underspecification may result in reduced sensitivity regarding the identification of task-related brain regions. In a rapid event-related fMRI study, we used an extended general linear model including single-trial reaction-time-dependent hemodynamic response predictors for the analysis of an angle discrimination task. In addition to the already known regions in superior and inferior parietal lobule, mapping the reaction-time-dependent hemodynamic response predictor revealed a more specific network including task demand-dependent regions not being detectable using the cognitive subtraction method, such as bilateral caudate nucleus and insula, right inferior frontal gyrus and left precentral gyrus.