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In human neuroscientific research, there has been an increasing interest in how the brain computes the value of an anticipated outcome. However, evidence is still missing about which valuation related brain regions are modulated by the proximity to an expected goal and the previously invested effort to reach a goal. The aim of this dissertation is to investigate the effects of goal proximity and invested effort on valuation related regions in the human brain. We addressed this question in two fMRI studies by integrating a commonly used reward anticipation task in differential versions of a Multitrial Reward Schedule Paradigm. In both experiments, subjects had to perform consecutive reward anticipation tasks under two different reward contingencies: in the delayed condition, participants received a monetary reward only after successful completion of multiple consecutive trials. In the immediate condition, money was earned after every successful trial. In the first study, we could demonstrate that the rostral cingulate zone of the posterior medial frontal cortex signals action value contingent to goal proximity, thereby replicating neurophysiological findings about goal proximity signals in a homologous region in non-human primates. The findings of the second study imply that brain regions associated with general cognitive control processes are modulated by previous effort investment. Furthermore, we found the posterior lateral prefrontal cortex and the orbitofrontal cortex to be involved in coding for the effort-based context of a situation. In sum, these results extend the role of the human rostral cingulate zone in outcome evaluation to the continuous updating of action values over a course of action steps based on the proximity to the expected reward. Furthermore, we tentatively suggest that previous effort investment invokes processes under the control of the executive system, and that posterior lateral prefrontal cortex and the orbitofrontal cortex are involved in an effort-based context representation that can be used for outcome evaluation that is dependent on the characteristics of the current situation.
Visual working memory (WM) and selective attention are fundamental cognitive mechanisms, both operating at the interface between perception and action. They are related because both are postulated to have limits with respect to how much information can be processed. Specifically, selective attention has been implicated as a limiting factor for the storage capacity of visual WM. However, visual WM and attention have been largely studied in isolation and interactions between the two have rarely been addressed. This dissertation aimed at investigating interactions between selective attention and the encoding of information into visual WM in the context of one common characteristic feature, namely their limitation in capacity. An experimental task was used that combined visual search with delayed discrimination and the demands on selective attention and WM encoding were manipulated orthogonally. In each trial participants were presented with a search array consisting of nine different grey geometric shapes. A small L-shaped item that appeared in one of four different orientations and that was coloured either blue or red was placed in the centre of each shape. Participants were instructed to search for predefined target items (Ls oriented 90°) and to memorise the shapes associated with these target items. After a delay phase a probe was presented and participants decided whether it did or did not match one of the memorised shapes. Attentional demand was manipulated by changing the search efficiency in the visual search component of the task (easy vs. difficult search) and WM load was manipulated by the number of targets (1 to 5). A behavioural study was conducted to isolate the processes that allowed participants to successfully encode complex shapes into WM while engaging spatial attention for a visual search task. The data provided evidence for a two-step encoding strategy. In the first step participants selected and memorised only the locations of all target items and only then they encoded the associated shapes at a later step. This strategy allowed them to cope with the interference between WM and attention that would otherwise take place. In the second part of this dissertation interference between visual attention and the encoding into visual WM was investigated on the level of neural activation using functional magnetic resonance imaging (fMRI). Specifically, the hypothesis was tested that the capacity limitation of visual WM is due to common limited-capacity neural resources shared by visual WM and attention. Two separate fMRI experiments were conducted that combined visual search and delayed visual discrimination for either objects (experiment 1) or locations (experiment 2). The results revealed overlapping activation for attention-demanding visual search and object WM encoding in distributed posterior and frontal regions. In the right prefrontal cortex and bilateral insula BOLD activation additively increased with increased WM load and attentional demand. Conversely, the analysis revealed an interaction effect in several visual, parietal, and premotor areas. These regions showed overlapping activation for the two task components and were severely reduced in their WM load response under the condition with high attentional demand. This interaction effect was found in similar frontal and posterior regions when combining visual search and spatial WM encoding in experiment 2. In contrast, regions in the prefrontal cortex were selectively responsive to WM load and differed to some degree depending on the WM domain. Here, activation associated with increased WM load was delayed rather than reduced under high attentional demand. The fMRI results provide convergent evidence that visual selective attention and the encoding of information into WM share, to a high degree, common neural resources. The findings indicate that competition for resources shared by visual attention and WM encoding can limit processing capabilities in distributed posterior brain regions but not the prefrontal cortex. The findings support the view that WM evolves from the recruitement of attentional mechanisms (Cowan, 2001; Wheeler und Treisman, 2002) the very same that act upon perceptual representations as well (Slotnick, 2004; Jonides et al., 2005; Pasternak and Greenlee, 2005; Postle, 2006; Ranganath, 2006). The similarity in the effects of interference between attention and the encoding of objects or locations into WM indicates that the attention-based model of WM encoding is valid across different WM domains. The capacity of visual WM can be limited at various stages of processing. The behavioural and fMRI data presented in this dissertation illustrate that one major bottleneck of information processing arises from the common demands on neural and cognitive resources shared between visual WM and selective attention during the encoding stage.
The comparison of persons is pervasive in social judgement and human decision making and yet its neural substrate is poorly explored. Using functional magnetic resonance imaging we investigated the brain activities of participants comparing other persons with each other (other vs. other comparison - OOC) and with themselves (self vs. other comparison - SOC) as regards psychological (intelligence) and physical (height) characteristics. We found that the comparison of these two person characteristics differ in their neural activation patterns in the OOC as well as in the SOC with higher activity increases for intelligence than height comparison in several areas in medial frontal and orbitofrontal cortex and posterior cingulate cortex suggesting that their activation scales with the demand on person comparison. The person comparison network strikingly overlaps the one commonly described for the classic theory of mind tasks. We interpret this overlap as indicating perspective taking common to person comparison and theory of mind. Furthermore, we suggest that the neural differences between the SOC and the OOC especially in the dorsal part of the medial frontal cortex rely on the different degree of the self involved in the two types of comparisons. The results additionally suggest that the decision directions of self-relevant comparisons, especially in the intelligence comparison of the SOC, resulted in differences in the activation of the medial frontal cortex, which also relies on differences in the reward anticipation and self-relatedness of these decisions.
The pathophysiology of schizophrenia is still poorly understood. Investigating the neurophysiological correlates of cognitive dysfunction with functional neuroimaging techniques such as electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is widely considered to be a possible solution for this problem. Working memory impairment is one of the most prominent cognitive impairments found in schizophrenia. Working memory can be divided into a number of component processes, encoding, maintenance and retrieval. They appear to be differentially affected in schizophrenia, but little is known about the neurophysiological disturbances which contribute to deficits in these component processes. The aim of this dissertation was to elucidate the neurophysiological underpinnings of the component processes of working memory and their disturbance in schizophrenia. In the first study the the neurophysiological substrates of visual working memory capacity limitations were investigated during encoding, maintenance and retrieval in 12 healthy subjects using event-related fMRI. Subjects had to encode up to four abstract visual shapes and maintain them in working memory for 12 seconds. Afterwards a test stimulus was presented, which matched one of the previously shown shapes in fifty percent of the trials. A bilateral inverted U-shape pattern of BOLD activity with increasing memory load in areas closely linked with selective attention, i.e. the frontal eye fields and areas around the intraparietal sulcus, was observed already during encoding. The increase of the number of stored items from memory load three to memory load four in these regions was negatively correlated with the increase of BOLD activity from memory load three to memory load four. These results point to a crucial role of attentional processes for the limited capacity of working memory. In the second study, the contribution of early perceptual processing deficits during encoding and retrieval to working memory dysfunction was investigated in 17 patients with schizophrenia and 17 healthy control subjects using EEG and event-related fMRI. A slightly modified version of the working memory task used in the fist study was employed. Participants only had to encode and maintain up to three items. In patients the amplitude of the P1 event-related potential was significantly reduced already during encoding in all memory load conditions. Similarly, BOLD activity in early visual areas known to generate the P1 was significantly reduced in patients. In controls, a stronger P1 amplitude increase with increasing memory load predicted better performance. These findings indicate that in addition to later memory related processing stages early visual processing is disturbed in schizophrenia and contributes to working memory dysfunction by impairing the encoding of information. In the third study, which was based on the same data set as the second study, cortical activity and functional connectivity in 17 patients with schizophrenia and 17 to healthy control subjects during the working memory encoding, maintenance and retrieval was investigated using event-related fMRI. Patients had reduced working memory capacity. During encoding activation in the left ventrolateral prefrontal cortex and extrastriate visual cortex was reduced in patients but positively correlated with working memory capacity in controls. During early maintenance patients switched from hyper- to hypoactivation with increasing memory load in a fronto-parietal network which included left dorsolateral prefrontal cortex. During retrieval right ventrolateral prefrontal hyperactivation was correlated with encoding-related hypoactivation of left ventrolateral prefrontal cortex in patients. Cortical dysfunction in patients during encoding and retrieval was accompanied by abnormal functional connectivity between fronto-parietal and visual areas. These findings indicate a primary encoding deficit in patients caused by a dysfunction of prefrontal and visual areas. The findings of these studies suggest that isolating the component processes of working memory leads to more specific markers of cortical dysfunction in schizophrenia, which had been obscured in previous studies. This approach may help to identify more reliable biomarkers and endophenotypes of schizophrenia.
In den Neurowissenschaften führt die Erforschung des vegetativen Nervensystem (VNS) immer noch ein Schattendasein. Einer der wichtigsten Teile des VNS, der Hirnstamm, ist dabei besonders schlecht erforscht, obwohl er die Steuerzentren für Herzschlag, Blutdruckregulation, Atmung, Verdauung, und viele weitere lebenswichtige Funktionen beherbergt. Ein wichtiger Grund für diesen Umstand ist, dass die funktionelle Kernspintomographie (fMRT) sich in ihrer bisherigen Form nur bedingt für Messungen im Hirnstamm eignet. Ziel dieser Arbeit war es daher, neue Ansätze zur fMRT-Messung vegetativer Zentren im menschlichen Hirnstamm zu entwickeln. Nach einer Einführung in die Neuroanatomie sowie die physikalischen und physiologischen Grundlagen der strukturellen und funktionellen MRT werden im mittleren Teil der Arbeit die Entwicklung sowie der Test neuer Ansätze zur Hirnstamm-fMRT beschrieben. Dabei untersucht der Autor zunächst, welche grundlegenden Probleme einer konventionellen fMRT-Messung im Hirnstamm entgegenstehen. Es stellt sich heraus, dass alle hirnstamm-spezifischen Störquellen direkt oder indirekt auf den Herzschlag zurückzuführen sind. Aus den vorhandenen Ansätzen zur Korrektur solcher Störungen wird die Herzschlag-Taktung ausgewählt. Bei diesem Verfahren erfolgt die Aufnahme der fMRT-Bilder zeitlich gekoppelt an dem Herzschlag des Probanden, um sämtliche kardiogenen Rauschquellen zu unterdrücken. Anstelle des häufig verwendeten, aber statistisch problematischen Guimaraes-Verfahrens zur Korrektur der durch die Herzfrequenzvariabilität bedingten Schwankungen des MR-Signals wird in der vorliegenden Arbeit der die sog. Dual-Echo-Bildgebung verwendet. Dabei wird die konventionelle EPI-Sequenz (echo-planar imaging) dahingehend erweitert, dass pro Bild anstelle eines Echos zwei aufgenommen werden. Durch Quotientenbildung der beiden Bilder kann so der fluktuierende Teil des Signals entfernt werden. Beim Vergleich verschiedener Varianten der Quotientenbildung stellt sich ein neu entwickelter, exponentieller Ansatz als überlegen heraus. Danach werden die Auswirkungen verschiedener Methoden der Bewegungskorrektur und Schichtorientierung verglichen, um das Optimum für Messungen im Hirnstamm zu ermitteln. Nach Tests des neuen Verfahrens an verschiedenen fMRT-Datensätzen werden Empfehlungen für die Kombination der verschiedenen Parameter gegeben. Es zeigt sich, dass die Standardabweichung der fMRT-Bilder mit der neuen Methode im unteren Hirnstamm um 13% - 33% reduziert werden kann. Ein Sensitivitätstest an motorischen Hirnstammkernen, welche durch ein motorisches Paradigma aktiviert werden, zeigt, dass die jeweiligen Kerne in 85% - 95% der Fälle eindeutig identifiziert werden können. Im dritten Teil der Arbeit erfolgt die Anwendung der neuen Methode auf die Messung von Aktivierungen vegetativer Zentren. Hier wird als unkonventionellen Stimulus des vegetativen Nervensystems die Akupunktur verwendet. Dies geschieht u.a. mit der Zielsetzung, zur Aufdeckung des noch immer unbekannten Wirkmechanismus dieser Therapieform beizutragen. Als Akupunkturpunkt wird Pc6 am Handgelenk gewählt, da die Studienlage eindeutig dessen Effektivität bei der Behandlung von Übelkeit und Erbrechen sowie eine Beeinflussung der Magen-Peristaltik zeigt und die neuralen Zentren hierfür größtenteils im Hirnstamm lokalisiert sind. Der Autor stellt daher die Hypothese auf, dass die Akupunkturwirkung in diesem Fall über den Vagusnerv und dessen Hirnstammkern, den Nucleus dorsalis nervi vagi, vermittelt wird. Vor der Überprüfung dieser Hypothese erfolgt zunächst eine Methodenkritik der bisherigen Akupunktur-fMRT-Forschung. Anhand einer Gruppe von Studien, welche über Aktivierungen der Sehrinde bei Akupunktur visuell relevanter Punkte berichten, weist der Autor eine Reihe methodischer Probleme nach. Anhand einer eigenen Studie kann er mittels Independent Component Analysis (ICA) zeigen, dass die von den bisherigen Studien berichteten, visuellen Aktivierungen höchstwahrscheinlich nicht auf die Wirkung der Akupunktur zurückzuführen sind. Um einige der Probleme dieser Studien zu umgehen, entwickelt der Autor ein neues psychophysikalisches Verfahren, bei dem die Probanden während der Akupunktur kontinuierlich die Stärke der Nadelempfindung („DeQi“) auf einer visuellen Analogskala bewerten. Mit Hilfe dieses Verfahrens gelingt schließlich der Nachweis einer Hirnstamm-Aktivierung unter Akupunktur-Stimulation, deren Lokalisation mit der des Nucleus dorsalis nervi vagi vereinbar ist. Dies bestätigt die ursprüngliche Hypothese und zeigt gleichzeitig die Eignung des neuen Verfahrens für die Bildgebung vegetativer Hirnstammzentren.