Die Suche nach einem Zielobjekt in einer komplexen visuellen Szene ist ein alltäglicher Wahrnehmungsvorgang und ein etabliertes experimentelles Paradigma für die Untersuchung selektiver Aufmerksamkeit. Einem klassischen Modell zufolge ist der Suchprozeß seriell: Die Objekte werden nacheinander vom Aufmerksamkeitsfokus selektiert und so für die Identifikation bereitgestellt. Ein Alternativmodell postuliert einen parallelen Suchprozeß, bei dem alle Objekte in der Szene gleichzeitig vom Sehsystem verarbeitet werden. Beide Modelltypen sind gleich gut mit den Resultaten bisheriger Verhaltensexperimente kompatibel. In der vorliegenden Arbeit wurden die neuronalen Grundlagen des Suchprozesses mit Hilfe der funktionellen Magnetresonanztomographie (fMRT) im menschlichen Gehirn untersucht. Es ist bekannt, dass das frontale Augenfeld (FEF) und drei Subregionen (AIPS, PIPS und IPTO) des posterioren parietalen Cortex (PPC) den im seriellen Suchmodell postulierten Teilprozeß der Verschiebung des Aufmerksamkeitsfokus (ohne Augenbewegungen) kontrollieren. In Experiment 1 wurde geprüft, ob diese Regionen auch am Suchprozeß beteiligt sind. Dazu wurde das fMRT-Signal zwischen einer schwierigen Suche nach einer Verknüpfung zweier visueller Merkmale und einer einfachen Suche nach einem einzelnen Merkmal verglichen. Motorische Anforderungen und Reizmuster waren in beiden Bedingungen so ähnlich wie möglich und in Kontrollexperimenten wurde sichergestellt, dass Aktivierungsunterschiede zwischen beiden Bedingungen keine motorischen oder sensorischen Prozesse reflektieren, sondern spezifisch den Prozeß der Verknüpfungssuche. FEF, AIPS, PIPS und IPTO wurden differentiell aktiviert. In Experiment 2 wurde getestet, ob die Beteiligung dieser Areale an der visuellen Suche von der Notwendigkeit einer Merkmalsverknüpfung abhängt. Dazu wurde eine schwierige Merkmalssuche mit der einfachen Merkmalssuche verglichen und kontrolliert, dass auch dieser Vergleich sensorische und motorische Faktoren eliminierte. Differentielle Aktivierungen in diesem Experiment reflektierten nun nicht mehr den Merkmalsverknüpfungsprozeß, sondern allein die höhere Schwierigkeit der Suche. Auch hier fand sich eine differentielle Aktivierung des FEF, AIPS, PIPS und IPTO. Dabei unterschieden sich die Schwierigkeit auf der Verhaltensebene wie auch die differentielle Aktivierung von PIPS auf der neuronalen Ebene nicht zwischen Verknüpfungs- und schwieriger Merkmalssuche. Die Ergebnisse demonstrieren, dass das FEF und drei Subregionen des PPC an der schwierigen visuellen Suche beteiligt sind. Dies ist gut mit der Annahme eines seriellen und nur schwer mit der eines parallelen Suchprozesses vereinbar. Darüber hinaus suggerieren die Befunde, dass der Beitrag des PPC und FEF zur visuellen Suche nicht auf den Prozeß der Merkmalsverknüpfung beschränkt ist, sondern allgemeiner die Anforderung an den Suchprozeß reflektiert. / The search for a target object in a complex visual scene is an all-day process of visual perception and an established experimental paradigm for the study of selective attention. A classical model postulates a serial search process. That is, objects are selected sequentially by the focus of attention and are thereby routed to the identification stage. An alternative model postulates a parallel search process, in which all objects within the scene are processed simultaneously. Both models are equally consistent with the current behavioural data. In this thesis, the neural basis of the search process in the human brain was investigated with functional magnetic resonance imaging (fMRI). The frontal eye field (FEF) and three sub-regions (AIPS, PIPS und IPTO) of the posterior parietal cortex (PPC) are known to control the shifting of the focus of attention in space (without eye movements), which is postulated by the serial model to be an essential sub-process of visual search. Experiment 1 tested whether the same areas are also engaged in the search process. The fMRI signal was compared between a difficult search for a feature conjunction and an easy search for a single feature. Motor requirements and stimuli were as similar as possible across conditions and control experiments demonstrated that activation differences between conditions do not reflect sensory or motor factors, but rather the process of conjunction search. The FEF, AIPS, PIPS, and IPTO were differentially activated. Experiment 2 tested whether the involvement of these areas in visual search depends on the necessity for conjoining features. A difficult feature search was compared with the easy feature search. This comparison also eliminated sensory and motor factors according to control experiments. Differential activations in this experiment did not reflect the feature conjunction process, but only the higher search difficulty. Again, a differential activation of the FEF, AIPS, PIPS, and IPTO was found. The conjunction and the difficult feature search did not differ in their difficulty at the behavioral level as well as in PIPS activation strength at the neural level. The results show that the FEF and three PPC sub-regions contribute to difficult visual search. This is consistent with the assumption of a serial, but much less consistent with the assumption of a parallel, search process. Furthermore the results suggest that the contribution of the PPC and FEF to visual search is not restricted to the feature conjunction process, but more generally reflects the demands on the search process.

Attention Deficit Hyperactivity Disorder (ADHD) is a disorder affecting cognitive control. These functions are important to achieve goals when different actions need to be executed in close succession. This type of multi-component behavior, which often further requires the processing of information from different modalities, is important for everyday activities. Yet, possible changes in neurophysiological mechanisms have not been investigated in adolescent ADHD. We examined N = 31 adolescent ADHD patients and N = 35 healthy controls (HC) in two Stop-Change experiments using either uni-modal or bi-modal stimuli to trigger stop and change processes. These stimuli were either presented together (SCD0) or in close succession of 300 milliseconds (SCD300). Using event-related potentials (ERP), EEG data decomposition and source localization we analyzed neural processes and functional neuroanatomical correlates of multicomponent behavior. Compared to HCs, ADHD patients had longer reaction times and higher error rates when Stop and Change stimuli were presented in close succession (SCD300), but not when presented together (SCD0). This effect was evident in the uni-modal and bi-modal experiment and is reflected by neurophysiological processes reflecting response selection mechanisms in the inferior parietal cortex (BA40). These processes were only detectable after accounting for intra-individual variability in neurophysiological data; i.e. there were no effects in standard ERPs. Multi-component behavior is not always deficient in ADHD. Rather, modulations in multi-component behavior depend on a critical temporal integration window during response selection which is associated with functioning of the inferior parietal cortex. This window is smaller than in HCs and independent of the complexity of sensory input.

Attention Deficit Hyperactivity Disorder (ADHD) is a disorder affecting cognitive control. These functions are important to achieve goals when different actions need to be executed in close succession. This type of multi-component behavior, which often further requires the processing of information from different modalities, is important for everyday activities. Yet, possible changes in neurophysiological mechanisms have not been investigated in adolescent ADHD. We examined N = 31 adolescent ADHD patients and N = 35 healthy controls (HC) in two Stop-Change experiments using either uni-modal or bi-modal stimuli to trigger stop and change processes. These stimuli were either presented together (SCD0) or in close succession of 300 milliseconds (SCD300). Using event-related potentials (ERP), EEG data decomposition and source localization we analyzed neural processes and functional neuroanatomical correlates of multicomponent behavior. Compared to HCs, ADHD patients had longer reaction times and higher error rates when Stop and Change stimuli were presented in close succession (SCD300), but not when presented together (SCD0). This effect was evident in the uni-modal and bi-modal experiment and is reflected by neurophysiological processes reflecting response selection mechanisms in the inferior parietal cortex (BA40). These processes were only detectable after accounting for intra-individual variability in neurophysiological data; i.e. there were no effects in standard ERPs. Multi-component behavior is not always deficient in ADHD. Rather, modulations in multi-component behavior depend on a critical temporal integration window during response selection which is associated with functioning of the inferior parietal cortex. This window is smaller than in HCs and independent of the complexity of sensory input.