The human brain is equipped with the ability to plan ahead, i.e. to mentally simulate the expected consequences of candidate actions to select the one with the most desirable expected long-term outcome. Insufficient planning can lead to maladaptive behaviour and may even be a contributory cause of important societal problems such as the depletion of natural resources or man-made climate change. Understanding the cognitive and neural mechanisms of forward planning and its regulation are therefore of great importance and could ultimately give us clues on how to better align our behaviour with long-term goals. Apart from its potential beneficial effects, planning is time-consuming and therefore associated with opportunity costs. It is assumed that the brain regulates the investment into planning based on a cost-benefit analysis, so that planning only takes place when the perceived benefits outweigh the costs. But how can the brain know in advance how beneficial or costly planning will be? One potential solution is that people learn from experience how valuable planning would be in a given situation. It is however largely unknown how the brain implements such learning, especially in environments with large state spaces. This dissertation tested the hypothesis that humans construct and use so-called control contexts to efficiently adjust the degree of planning to the demands of the current situation. Control contexts can be seen as abstract state representations, that conveniently cluster together situations with a similar demand for planning. Inferring context thus allows to prospectively adjust the control system to the learned demands of the global context. To test the control context hypothesis, two complex sequential decision making tasks were developed. Each of the two tasks had to fulfil two important criteria. First, the tasks should generate both situations in which planning had the potential to improve performance, as well as situations in which a simple strategy was sufficient. Second, the tasks had to feature rich state spaces requiring participants to compress their state representation for efficient regulation of planning. Participants’ planning was modelled using a parametrized dynamic programming solution to a Markov Decision Process, with parameters estimated via hierarchical Bayesian inference. The first study used a 15-step task in which participants had to make a series of decisions to achieve one or multiple goals. In this task, the computational costs of accurate forward planning increased exponentially with the length of the planning horizon. We therefore hypothesized that participants identify ‘distance from goal’ as the relevant contextual feature to guide their regulation of forward planning. As expected we found that participants predominantly relied on a simple heuristic when still far from the goal but progressively switched towards forward planning when the goal approached. In the second study participants had to sustainably invest a limited but replenishable energy resource, that was needed to accept offers, in order to accumulate a maximum number of points in the long run. The demand for planning varied across the different situations of the task, but due to the large number of possible situations (n = 448) it would be difficult for the participants to develop an expectation for each individual situation of how beneficial planning would be. We therefore hypothesized, that to regulate their forward planning participants used a compressed tasks representation, clustering together states with similar demands for planning. Consistent with this, reaction times (operationalising planning duration) increased with trial-by-trial value-conflict (operationalising approximate planning demand), but this increase was more pronounced in a context with generally high demand for planning. We further found that fMRI activity in the dorsal anterior cingulate cortex (dACC) increased with conflict, but this increase was more pronounced in a context with generally high demand for planning as well. Taken together, the results suggest that the dACC integrates representations of planning demand on different levels of abstraction to regulate prospective information sampling in an efficient and situation-appropriate way. This dissertation provides novel insights into the question how humans adapt their planning to the demands of the current situation. The results are consistent with the view that the regulation of planning is based on an integrated signal of the expected costs and benefits of planning. Furthermore, the results of this dissertation provide evidence that the regulation of planning in environments with real-world complexity critically relies on the brain’s powerful ability to construct and use abstract hierarchical representations.

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Understanding indirect speech, i.e., when an utterance does not match the intended meaning, is one of many pragmatic abilities at play in conversation. While the development of pragmatic abilities starts early, they continually develop throughout adolescence although this period is understudied. Recent fMRI-results in adults suggest that pragmatic processing is segregable from other skills, such as core language, theory of mind (ToM), and cognitive control functions. In this thesis, pragmatic processing was investigated in adolescents contrasting indirect and direct speech. Brain activity was measured using fMRI in adolescents listening to short conversations and existing data from adults was used to investigate age-related effects. The bilateral occipital gyri and the cuneus showed stronger activation in adolescents when listening to indirect speech. The cuneus has previously been implicated in ToM-tasks and socio-emotional processing. The results support earlier accounts of differing neural signatures of ToM with age and heightened social sensitivity in adolescence, and could mean that pragmatics draws more on ToM at younger ages. Additional results showed an interaction while listening to parts of the conversations not manipulated by the main contrast: greater activation in adults could in part reflect differences in attention or engagement. / Att förstå indirekt tal, det vill säga när ett yttrande inte matchar den bakomliggande meningen, är en av många pragmatiska förmågor som används under konversation. Utveckling av pragmatiska förmågor börjar tidigt i livet och fortsätter att utvecklas under tonåren, dock är den perioden understuderad. fMRI-resultat hos vuxna föreslår att pragmatisk bearbetning går att skilja från andra förmågor, såsom språk, mentalisering  och kognitiv kontroll. I den här uppsatsen undersöktes pragmatisk bearbetning hos ungdomar genom att kontrastera indirekt och direkt tal. Hjärnaktivitet mättes med fMRI hos ungdomar när de lyssnade på korta konversationer och tidigare insamlad data från vuxna användes för att undersöka åldersrelaterade effekter. Starkare aktivering hittades hos ungdomar i bilaterala occipitalloben och vänster cuneus när de lyssnade på indirekt tal. Dessa områden har kopplats till mentalisering och socio-emotionell bearbetning. Detta stämmer överens med tidigare resultat där ToM-aktivering ändras med åldern och att ungdomsåren är extra socialt känsliga och skulle kunna innebära att pragmatik använder sig mer av ToM tidigare i livet. Ytterligare resultat visade interaktion under språklig bearbetning av tal som inte var del av den huvudsakliga manipulation. Starkare aktivering hos vuxna skulle delvis kunna indikera skillnader i uppmärksamhet och engagemang.

Moderate-to-severe traumatic brain injury (M/S TBI) is a growing public health concern with significant impact on the cognitive functioning of survivors. Cognitive control and deficits in awareness have been linked to poor recovery and rehabilitation outcomes. One way to research cognitive control is through awareness of errors using electroencephalogram and event-related potentials (ERPs). Both the error-related negativity and the post-error positivity components of the ERP are linked to error awareness and cognitive control processes. Attentional capacity and levels of apathy influence error awareness in those with M/S TBI. There are strong links between awareness, attention, and apathy. However, limited research has examined the role of attention, awareness, and apathy using electrophysiological indices of error awareness to further understand cognitive control in a M/S TBI sample. The current study sought to elucidate the role of apathy in error awareness in those with M/S TBI. Participants included 75 neurologically-healthy controls (divided randomly into two control groups) and 24 individuals with M/S TBI. All participants completed self-report measures of mood, apathy, and executive functioning, as well as a brief neuropsychological battery to measure attention and cognitive ability. To measure awareness, participants completed the error awareness task (EAT), a modified Stroop go/no-go task. Participants signaled awareness of errors committed on the previous trial. The M/S TBI group decreased accuracy while improving or maintaining error awareness compared to controls over time. There were no significant between-group differences for ERN and Pe amplitudes. Levels of apathy in the M/S TBI group were included in three multiple regression analyses predicting proportion of unaware errors, ERN amplitude, and Pe amplitude. Apathy was predictive of error awareness, although not in the predicted direction. Major analyses were replicated using two distinct control groups to determine potential sample effects. Results showed consistent results comparing both control groups to a M/S TBI group. Findings show variable levels of awareness and accuracy over time for those with M/S TBI when compared to controls. Conclusions include varying levels of attention and awareness from the M/S TBI group over time, evidenced by improving awareness of errors when they are happening, but an inability to regulate performance sufficiently to improve accuracy. Levels of apathy are playing a role in error awareness, however, not in predicted directions. The study provides support for the role of attentional impairments in error awareness and encourages future studies to look for varying levels of performance within a given task when using populations linked to elevated levels of apathy and attentional deficits.

Neurofeedback (NF) is an important treatment for attention deficit/hyperactivity disorder (ADHD). In ADHD, cognitive control deficits pose considerable problems to patients. However, NF protocols are not yet optimized to enhance cognitive control alongside with clinical symptoms, partly because they are not driven by basic cognitive neuroscience. In this study, we evaluated different EEG theta and/or beta frequency band NF protocols designed to enhance cognitive control. Participants were n = 157 children and adolescents, n = 129 of them were patients with ADHD (n = 28 typically developing (TD) controls). Patients with ADHD were divided into five groups in the order of referral, with four of them taking part in different NF protocols systematically varying theta and beta power. The fifth ADHD group and the TD group did not undergo NF. All NF protocols resulted in reductions of ADHD symptoms. Importantly, only when beta frequencies were enhanced during NF (without any theta regulation or in combination with theta upregulation), consistent enhancing effects in both response inhibition and conflict control were achieved. The theta/beta NF protocol most widely used in clinical settings revealed comparatively limited effects. Enhancements in beta band activity are key when aiming to improve cognitive control functions in ADHD. This calls for a change in the use of theta/beta NF protocols and shows that protocols differing from the current clinical standard are effective in enhancing important facets of cognitive control in ADHD. Further studies need to examine regulation data within the neurofeedback sessions to provide more information about the mechanisms underlying the observed effects.

Zahlreiche Untersuchungen belegen fundamentale Grenzen in der menschlichen Fähigkeit, mehrere Dinge gleichzeitig zu tun. Aktuelle Theorien zur Verarbeitung von Doppelaufgaben gehen davon aus, dass kognitive Kontrollprozesse den Verarbeitungsstrom mehrerer Aufgaben koordinieren. Funktionell-neuroanatomisch wird insbesondere der laterale Präfrontalcortex (lPFC) mit der Kontrolle zielgerichteten Verhaltens in Verbindung gebracht. Mittels funktioneller Magnetresonanztomographie (fMRT) wurde bereits eine Beteiligung des lPFC an der Verarbeitung von Doppelaufgaben nachgewiesen. Die neuronalen Mechanismen der Doppelaufgabenkoordination sind jedoch weitgehend ungeklärt. Die drei fMRT Studien der vorliegenden Dissertation spezifizieren die funktionelle Rolle des lPFC bei der Interferenzverarbeitung in Doppelaufgaben. Die Ergebnisse zeigen (1) die Allgemeinheit der lPFC-Beteiligung über verschiedenen Doppelaufgabensituationen hinweg, (2) die funktionell-neuroanatomische Dissoziierbarkeit verschiedener doppelaufgabenrelevanter Kontrollfunktionen im lPFC , (3) die Bedeutung der Interaktion des lPFC mit posterioren aufgabenrelevanten Regionen für die Kontrolle von Doppelaufgabenverarbeitung. / Numerous studies indicate fundamental limitations in the human ability to do multiple things at the same time. Recent theories on dual-task processing postulate the involvement of cognitive control processes in the coordination of the processing stream of multiple tasks. The most prominent neuroanatomical structure associated with the control of goal-directed human behavior is the lateral prefrontal cortex (lPFC). It has been show with functional Magnetic Resonance Imaging (fMRI) that the lPFC is also involved in the processing of dual tasks. However, the precise role of the lPFC for the control of dual-task processing and the neural mechanisms of dual-task coordination are still widely unknown. The three fMRI studies presented in this dissertation specify the functional role of the lPFC in interference processing in dual tasks.The results show (1) the generality of lPFC involvement across different types of dual-task situations, (2) the functional neuroanatomical dissociability of different dual-task relevant control process in the lPFC, (3) the role of the interaction of the lPFC with posterior task-relevant brain regions for the control of dual-task processing

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Alcohol use disorder (AUD) is a relapsing–remitting condition characterized by excessive and/or continued alcohol consumption despite harmful consequences. New adjuvant tools, such as noninvasive brain stimulation techniques, might be helpful additions to conventional treatment approaches or even provide an alternative option for patients who fail to respond adequately to other treatment options. Here, we discuss the potential use of auricular transcutaneous vagus nerve stimulation (atVNS) as an ADD-ON intervention in AUD. Compared with other techniques, atVNS has the advantage of directly stimulating nuclei that synthesize GABA and catecholamines, both of which are functionally altered by alcohol intake in AUD patients. Pharmacological options targeting those neurotransmitters are widely available, but have relatively limited beneficial effects on cognition, even though restoring normal cognitive functioning, especially cognitive control, is key to maintaining abstinence. Against this background, atVNS could be a particularly useful add-on because there is substantial meta-analytic evidence based on studies in healthy individuals that atVNS can enhance cognitive control processes that are crucial to regaining control over drug intake. We discuss essential future research on using atVNS as an ADD-ON intervention in AUD to enhance clinical and cognitive outcomes by providing a translational application. Given that this novel technique can be worn like an earpiece and can be employed without medical supervision/outside the clinical settings, atVNS could be well integratable into the daily life of the patients, where the task of regaining control over drug intake is most challenging.

The neurophysiological processes underlying the inhibition of impulsive responses have been studied extensively. While also the role of theta oscillations during response inhibition is well examined, the relevance of resting-state theta activity for inhibitory control processes is largely unknown. We test the hypothesis that there are specific relationships between resting-state theta activity and sensory/motor coding levels during response inhibition using EEG methods. We show that resting theta activity is specifically linked to the stimulus-related fraction of neurophysiological activity in specific time windows during motor inhibition. In contrast, concomitantly coded processes related to decision-making or response selection as well as the behavioral inhibition performance were not associated with resting theta activity. Even at the peak of task-related theta power, where task-related theta activity and resting theta activity differed the most, there was still predominantly a significant correlation between both types of theta activity. This suggests that aspects similar to resting dynamics are evident in the proportion of inhibition-related neurophysiological activity that reflects an “alarm” signal, whose function is to process and indicate the need for cognitive control. Thus, specific aspects of task-related theta power may build upon resting theta activity when cognitive control is necessary.