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The main goals of the present thesis were to investigate how food deprivation influences food related disgust and to identify mental mechanisms that might underlie alterations in food related disgust. For this purpose, 9 studies were conducted that employed direct and indirect measures of attitudes, biological measures of affect as well as measures of real eating behavior and food choice, and compared responses of deprived and non deprived subjects on each of these measures. Spontaneous facial reactions were assessed via EMG and revealed that food deprived subjects showed weaker disgust reactions than satiated participants when being confronted with photographs of disgusting foods. Interestingly, deprived and non deprived subjects evaluated disgusting foods equally negative on a conscious level of information processing, indicating that food deprivation has the potential to attenuate food related disgust irrespective of conscious evaluations. Furthermore, it was found that food deprived participants readily consumed disgust related foods (“genetically modified foods”), while satiated participants rejected those foods. Again, no difference emerged between deprived and non deprived subjects in respect to their conscious evaluations of genetically modified foods (that were negative in both experimental groups). The dissociation between conscious evaluations and actual eating behavior that was observed amongst food deprived participants resembles the dissociation between conscious evaluations and facial reactions, thereby corroborating the assumption that alterations in food related disgust might directly influence eating behavior without changing conscious evaluations of foods. The assumption that a shift in automatic attitudes towards disgusting foods might be responsible for these effects received only partial support. That is, there was only a non significant tendency for food deprived subjects to evaluate disgusting foods more positive than satiated subjects on an automatic level of information processing. Instead, the results of the present thesis suggest that food deprived subjects exhibit a stronger motivation than satiated subjects to approach disgusting foods immediately. More precisely, food deprived participants exhibited strong approach motivational tendencies towards both, palatable and disgusting foods in an “Approach- Avoidance Task” whereas satiated participants only approached palatable (but not disgusting) foods on an automatic level of information processing. Moreover, food deprivation seems to change the subjective weighting of hedonic and functional food attributes in the context of more elaborated decisions about which foods to pick for consumption and which foods to reject. It was found that individual taste preferences were of minor importance for food deprived subjects but very important for satiated subjects when actually choosing between several food alternatives. In contrast, functional food attributes (e.g., immediate availability of a given food, large portion size) were more important selection criteria for food deprived subjects than for satiated subjects. Thus, food deprived participants were less picky than satiated participants, but showed a clear preference for those food alternatives that were functional in ending a state of food deprivation quickly – even if this meant choosing a food that was not considered tasty. Taken together, the present thesis shows that physiological need states (e.g., food deprivation) are tightly linked to the affective and motivational processing of need relevant cues. This link is so strong that food deprivation even modulates affective and motivational reactions as well as eating behavior and choice behavior towards disgusting (but need relevant) foods.
Der Einfluss von Aufmerksamkeit und Interferenzkontrolle auf die Verarbeitung visueller Stimuli
(2008)
Gegenstand der vorliegenden Arbeit war die Frage, inwieweit die neuronale Verarbeitung visueller Stimuli durch Prozesse der Aufmerksamkeit und des Arbeitsgedächtnisses moduliert werden kann. Darüber hinaus wurde untersucht, welche „top down“ Prozesse diese Modulation steuern. Dabei wurden zwei konkurrierende Ansichten als mögliche Erklärungsmodelle zugrunde gelegt und überprüft. Zum einen wäre es möglich, dass selektive Aufmerksamkeit zwei qualitativ unterschiedliche Mechanismen beinhaltet. Demnach würde neben dem Fokussieren auf relevante Informationen auch ein aktiver Prozess der Inhibition der Verarbeitung irrelevanter Stimuli existieren. Zum anderen ist es aber auch denkbar, dass aufgrund begrenzter Verarbeitungsressourcen das Fokussieren auf relevante Reize automatisch mit dem Nichtbeachten irrelevanter Stimuli einhergeht und nur ein Mechanismus existiert. In einem ersten Experiment wurde vorab die Alertness als ein grundlegender Prozess der Aufmerksamkeit mit der Nah-Infrarot Spektroskopie (NIRS) untersucht. Mittels eines zweigestuften Studiendesigns wurden in einem ersten Schritt für die Alertness relevante Regionen über fronto-temporalen Hirnarealen definiert. Als relevant erwiesen sich Areale des mittleren und superioren temporalen Kortex der rechten Hemisphäre und der ventrale Teil des inferioren frontalen Kortex der linken Hemisphäre. In einer zweiten Datenerhebung konnte für diese Regionen eine signifikant höhere Aktivierung während der Alertnessbedingung im Vergleich zu einer visuellen und motorischen Kontrollbedingung gefunden werden. Mit dem zweiten Experiment sollten bestehende, mit dem Elektroenzephalogramm (EEG) erhobene, Befunde zur Modulation der neuronalen Verarbeitung visueller Stimuli repliziert werden. Dies geschah mithilfe eines neu entwickelten Untersuchungsparadigmas, einer modifizierten n-back Aufgabe. Wie erwartet fand sich eine erhöhte Verarbeitung aufgaben-relevanter Reize im Vergleich zu einer perzeptuellen Kontrollbedingung. Die Verarbeitung irrelevanter Reize wurde allerdings nicht unterdrückt. Explorativ fand sich ein entsprechendes Korrelat der Aufmerksamkeitslenkung über frontalen Elektroden. In einem dritten Experiment wurde das modifizierte n-back Paradigma an die Anforderungen einer NIRS Messung angepasst, um frontale Effekte der Aufmerksamkeitslenkung direkter erfassen zu können als mit dem EEG. Wie erwartet fand sich bezüglich des Beachtens wie auch des Ignorierens von Stimuli eine Beteiligung frontaler Strukturen. Auf beachtete Stimuli folgte eine bilaterale Aktivierung des dorsolateralen präfrontalen Kortex (DL-PFK) und eine Aktivierung des linken inferioren frontalen Kortex bis hin zum prä- und postzentralen Kortex. Das Ignorieren visueller Stimuli führte zu einer weitläufigen Aktivierung des rechten präfrontalen Kortex (PFK). Eine Beteiligung des linken inferioren frontalen Gyrus an der Interferenzkontrolle konnte nicht wie erwartet nachgewiesen werden. Der Vergleich der beiden Aktivierungsmuster ergab keine signifikanten Unterschiede. Die zugrunde liegenden Prozesse des Arbeitsgedächtnisses und der Interferenzkontrolle führten also zu einer Aktivierung stark überlappender Hirnregionen. Nachdem die Ergebnisse der Experimente 2 und 3 keinerlei Hinweise auf einen aktiven Prozess der Interferenzinhibition nachweisen konnten, wurde im Experiment 4 die bisher genutzte 1-back Aufgabe durch eine schwierigere 2-back Aufgabe ersetzt. Aufgrund der erhöhten Auslastung des Arbeitsgedächtnisses sollte eine stärkere Anstrengung und damit eine verstärkte frontale Aktivierung bei der Interferenzinhibition auftreten. Diese Hypothese wurde mit einer frontalen NIRS Messung überprüft (Experiment 4a). Wie erwartet führte die erhöhte Auslastung des Arbeitsgedächtnisses zu einer verstärkten Aktivierung des PFK bezüglich beachteter Reize. Hinsichtlich ignorierter Reize fand sich allerdings keine frontale Beteiligung. Parallel erhobene EEG Daten zeigten keinen Unterschied zwischen der Verarbeitung beachteter und ignorierter Gesichter. Die Verarbeitung passiv betrachteter Gesichter war im Gegensatz zu beachteten und ignorierten Gesichtern vermindert. Im zweiten Teil der Studie (Experiment 4b) wurden erstmals die okzipitalen Effekte der Aufmerksamkeitslenkung mit der NIRS erfasst. Im Einklang mit den Ergebnissen der ersten EEG Studie (Experiment 2) fand sich zwar eine verstärkte Verarbeitung beachteter, aber keine verminderte Verarbeitung ignorierter Reize. Zusammengenommen sprechen die fehlende aktive Inhibition von Distraktorreizen im okzipitalen Kortex und die vergleichbaren neuronalen Korrelate von Prozessen des Arbeitsgedächtnisses und der Interferenzinhibition im frontalen Kortex für die Hypothese einer Aufteilung von begrenzten Verarbeitungsressourcen zugunsten beachteter Reize.
Cognitive views of the psychopathology of anxiety propose that attentional biases toward threatening information play a substantial role in the disorders’ etiology and maintenance. For healthy subjects, converging evidence show that threatening stimuli attract attention and lead to enhanced activation in visual processing areas. It is assumed that this preferential processing of threat occurs at a preattentive level and is followed by fast attentional engagement. High-anxious individuals show augmented tendencies to selectively attend toward fear-relevant cues (Mathews, 1990) and exhibit elevated neural processing of threatening cues compared to non-anxious individuals (Dilger et al., 2003). Regarding attentional biases in high-anxious subjects, it remains unanswered up to now whether initial engagement of attention toward threat or difficulties to disengage from threat is an underlying mechanism. Furthermore, little is known whether the preferential (attentive) processing of threatening cues does influence perceptional outcomes of anxious subjects. In order to directly study separate components of attentional bias the first study of this dissertation was a combined reaction time and eye-tracking experiment. Twenty one spider phobic patients and 21 control participants were instructed to search for a neutral target while ignoring task-irrelevant abrupt-onset distractor circles which contained either a small picture of a spider (phobic), a flower (non-phobic, but similar to spiders in shape), a mushroom (non-phobic, and not similar to spiders in shape), or small circles with no picture. As expected, patients’ reaction times to targets were longer on trials with spider distractors. However, analyses of eye movements revealed that this was not due to attentional capture by spider distractors; patients more often fixated on all distractors with pictures. Instead, reaction times were delayed by longer fixation durations on spider distractors. This result does not support automatic capture of attention by phobic cues but suggests that phobic patients fail to disengage attention from spiders. To assess whether preferential processing of phobic cues differentially affects visual perception in phobic patients compared to healthy controls, the second study of this dissertation used a binocular rivalry paradigm, where two incompatible pictures were presented to each eye. These pictures cannot be merged to a meaningful percept and temporarily, one picture predominates in conscious perception whereas the other is suppressed. 23 spider phobic patients and 20 non-anxious control participants were shown standardized pictures of spiders or flowers, each paired with a neutral pattern under conditions of binocular rivalry. Their task was to continuously indicate the predominant percept by key presses. Analyses show that spider phobic patients perceived the spider picture more often and longer as dominant compared to non-anxious control participants. Thus, predominance of phobic cues in binocular rivalry provides evidence that preferential processing of fear-relevant cues in the visual system actually leads to superior perception. In combination both studies support the notion that phobic patients process phobic cues preferentially within the visual system resulting in enhanced attention and perception. At early stages of visual processing, this is mainly reflected by delayed attentional disengagement and across time, preferential processing leads to improved perception of threat cues.
One of the major drawbacks in the implementation of intelligent tutoring systems is the limited capacity to process natural language and to automatically deal with unexpected or unknown vocabulary. Latent Semantic Analysis (LSA) is a statistical technique of automatic language processing, which can attenuate the “language barrier” between humans and tutoring systems. LSA-based intelligent tutoring systems address the goals of modelling human tutoring dialogues (AutoTutor), enhancing text comprehension and summarisation skills (State-The-Essence, Summary Street®, conText, Apex), training of comprehension strategies (iStart, a French system in development) and improving story and essay writing (Write To Learn, Select-a-Kibitzer, StoryStation). The systems are reviewed concerning their efficacy in modelling skilled human tutors and regarding their effects on the learner.
Assessment of emotional detachment in psychopathy via self-report and an emotion detection task
(2008)
The personality construct of psychopathy is subject of growing research, but data on psychopathy in female incarcerated and in non-institutionalized samples are rare. In this thesis emotional detachment as one factor of psychopathy is investigated in general population, in patients and in incarcerated samples. After verifying the validity of the Psychopathy Personality Inventory Revised (PPI-R) measuring emotional detachment, the sensitivity of the questionnaire concerning emotional detachment has been proven. Additionally it has been shown that symptoms of attention deficit and hyperactivity disorder can be distinguished from psychopathic traits by emotional detachment. In addition, these results confirm the core role of the feature emotional detachment for psychopathy. Furthermore, two emotion recognition tasks have been conducted in a criminal female inpatients sample. Compared to the low psychopathic patients, the high psychopathic patients showed deficits in categorization only in shortly presented sad facial expressions, but rated emotional facial expressions as less arousing. These results point to emotional detachment as a core characteristic of psychopathy, and is specific even in non-incarcerated and female incarcerated samples. It can be measured with the PPI-R as well as with emotion detection tasks.
Encoding Redundancy for Task-dependent Optimal Control : A Neural Network Model of Human Reaching
(2008)
The human motor system is adaptive in two senses. It adapts to the properties of the body to enable effective control. It also adapts to different situational requirements and constraints. This thesis proposes a new neural network model of both kinds of adaptivity for the motor cortical control of human reaching movements, called SURE_REACH (sensorimotor unsupervised learning redundancy resolving control architecture). In this neural network approach, the kinematic and sensorimotor redundancy of a three-joint planar arm is encoded in task-independent internal models by an unsupervised learning scheme. Before a movement is executed, the neural networks prepare a movement plan from the task-independent internal models, which flexibly incorporates external, task-specific constraints. The movement plan is then implemented by proprioceptive or visual closed-loop control. This structure enables SURE_REACH to reach hand targets while incorporating task-specific contraints, for example adhering to kinematic constraints, anticipating the demands of subsequent movements, avoiding obstacles, or reducing the motion of impaired joints. Besides this functionality, the model accounts for temporal aspects of human reaching movements or for data from priming experiments. Additionally, the neural network structure reflects properties of motor cortical networks like interdependent population encoded body space representations, recurrent connectivity, or associative learning schemes. This thesis introduces and describes the new model, relates it to current computational models, evaluates its functionality, relates it to human behavior and neurophysiology, and finally discusses potential extensions as well as the validity of the model. In conclusion, the proposed model grounds highly flexible task-dependent behavior in a neural network framework and unsupervised sensorimotor learning.