<p dir="ltr">Abstract: Atypical frontal alpha asymmetry is the difference in EEG-measured alpha-band power between right and left hemispheres, and patterns of lateralization are thought to reflect motivational direction (approach/withdrawal) and affective processing. Increased rightward frontal alpha asymmetry is associated with tendency toward approach-related behavior often displayed in attention-deficit/hyperactivity disorder (ADHD), though findings have been inconsistent. While differences in results may be partially accounted for by within-diagnosis heterogeneity, growing evidence suggests individual response tendency and emotional salience of a situation may influence one another. Investigating the potential interactions between trait and state measured variables may therefore clarify lateralization patterns in ADHD. The current study measured frontal alpha asymmetry in a well-characterized sample of school-aged children with and without ADHD. EEG during standard resting-state and emotional passive-viewing tasks were recorded from 220 children (nADHD = 97). A semi-structured clinical interview and standardized rating scales were collected to assign DSM-5 diagnoses and temperament group belonging. Parent measures included the behaviorally-rated Temperament in Middle Childhood Questionnaire (TMCQ). Latent profile analysis within the ADHD group revealed two temperament subgroups: emotionally regulated and emotionally dysregulated (high anger and sadness). EEG assessment suggests children broadly produced a more rightward asymmetry while in resting state compared to a task-based condition, though show no notable differences between neutral and negative emotional task conditions. ADHD diagnostic status, temperament group, and sex assigned at birth did not impact patterns of asymmetry. Results emphasize measurement differences in frontal alpha asymmetry between lab-based tasks and further highlight the importance of state influences on alpha lateralization.</p>

The immune system has been suggested as crucial in brain and psychological functioning. More precisely, immune markers reflecting immune system activity are important for psychological and mental health, as evident by their role in the physiopathology of depression and in the impairment of executive functions. Frontal alpha asymmetry (FAA), an electroencephalographic marker of brain function, has also been linked to such psychopathology and is thought to reflect psychological processes underlying approach- versus withdrawal-related motivation and higher-order inhibitory control. Only a few studies have linked FAA to immune markers but notably found a negative association between IL-6, a pleiotropic pro-inflammatory cytokine, and FAA. The aim of the present work is thus to study the relationship between various immune markers (including pro-inflammatory cytokines and IL-6) and FAA. 35 healthy young male participants underwent a resting EEG recording and blood sampling from which immune markers were measured. The results did not suggest an association between IL-6 and FAA. No other immune markers were either suggested to be associated to FAA. The complexity of the immune system (e.g., effect of cytokines) is underlined and may explain the results. Despite such results, the implication of true negative correlations between FAA and circulating immune markers, as suggested in previous studies, is discussed in the light of the theoretical models of FAA.

Physiological indicators like heart rate (HR) and its variability (HRV) from ECG (electrocardiograms), and frontal lobe alpha power asymmetry (AA) and frontoparietal connectivity from EEG (electroencephalograms), can elucidate the role of the nervous system and other visceral organs and their effects on behavioral measures of cognitive and emotional self-regulation. Knowledge of the intergenerational transmission of cardiac and cerebral physiology can provide insight as to the developmental patterns of the organization and stabilization of these physiological processes in children and their mothers. The current study addresses a key question: Is there a developmental shift from 3-9 years of age in the overall pattern of EEG and ECG similarity between children and their mothers? The hypothesis was that there would be increasing child-mother similarity with age. EEG and ECG physiology was examined during a resting-state baseline period, during completion of cognitive tasks, and as baseline-to-task changes in EEG AA and frontoparietal coherence, and ECG HR and HRV in children and their mothers. A socioeconomically diverse longitudinal sample of 171 mothers with their children at ages 3, 6, and 9 years completed questionnaires and laboratory visits. Results indicated that there was some evidence to suggest the presence of mother-child similarity. Twenty of the seventy-two estimated intraclass correlations were significant. Furthermore, of the 20 significant correlations overall, none were present at child age 3 years, 6 were significant at child age 6 years, and 14 were significant at child age 9 years. Thus, overall, there was evidence that by age 6 years, child-mother similarity in physiological indicators of SR had begun to emerge. Additionally, consistent with the study hypothesis, there was some evidence of a pattern of increasing similarity for certain physiological indicators. Of the 72 estimated age-difference Fisher tests for increasing similarity, 17 were significant and in the hypothesized direction. The greatest number were seen during the task condition for ages 6 and 9, and particularly for the frontoparietal EEG variables. Findings are interpreted in light of social learning and behavioral genetics theories.

The immune system has been suggested as crucial in brain and psychological functioning. More precisely, immune markers reflecting immune system activity are important for psychological and mental health, as evident by their role in the physiopathology of depression and in the impairment of executive functions. Frontal alpha asymmetry (FAA), an electroencephalographic marker of brain function, has also been linked to such psychopathology and is thought to reflect psychological processes underlying approach- versus withdrawal-related motivation and higher-order inhibitory control. Only a few studies have linked FAA to immune markers but notably found a negative association between IL-6, a pleiotropic proinflammatory cytokine, and FAA. The aim of the present work is thus to study the relationship between various immune markers (including pro-inflammatory cytokines and IL-6) and FAA. 35 healthy young male participants underwent a resting EEG recording and blood sampling from which immune markers were measured. The results did not suggest an association between IL-6 and FAA. No other immune markers were either suggested to be associated to FAA. The complexity of the immune system (e.g., effect of cytokines) is underlined and may explain the results. Despite such results, the implication of true negative correlations between FAA and circulating immune markers, as suggested in previous studies, is discussed in the light of the theoretical models of FAA.

Trotz zahlreicher Untersuchungen lässt sich bei der Zwangsstörung noch kein einheitliches, alle Befunde integrierendes Krankheitsmodell formulieren. Die Verarbeitung von emotionalen Reizen könnte bei Personen mit Zwangsstörungen verändert sein. Dies trägt möglicherweise zur Entwicklung und Aufrechterhaltung der Störung bei. Das Ziel der vorliegenden Arbeit war es, spezifische Komponenten dieser Verarbeitung zu untersuchen. Zuerst wurde in zwei unterschiedlichen Studien überprüft, ob die Orientierung der Aufmerksamkeit zu neuen Reizen bei Patienten mit Zwangsstörungen verstärkt ist. Zu diesem Zweck wurden durch neue Reize evozierte Potentiale im Elektroenzephalogramms (EEG) gemessen. Anschließend wurde in einer Studie überprüft, ob das Verhältnis der Aktivierungen von dem Vermeidungs- zum Annäherungssystem bei den Betroffenen verändert ist. Dies lässt sich an Hand der Ermittlung der hemisphärischen Verteilung von Alpha-Wellen in frontalen Hirnregionen feststellen. Die Ergebnisse der ersten beiden Studien ergaben, dass Patienten unabhängig vom emotionalen Kontext eine stärkere Aufmerksamkeitshinwendung zu neuen Reizen zeigen (Studie 1), was allerdings nicht beobachtet wurde, wenn die neuen Reize innerhalb des Aufmerksamkeitsfokus lagen (Studie 2). Dieses Ergebnis wurde als überaktives Gefahrenerkennungssystem bei Patienten interpretiert. Weiterhin ließ sich feststellen, dass Patienten im Vergleich zu gesunden Kontrollen in frontalen Hirnregionen eine Verlagerung der Alpha Asymmetrie zur linken Gehirnhemisphäre aufwiesen (Studie 3). Dieser Befund wurde unabhängig von einer Stimulierung durch emotionale Reize gemacht. Er lässt sich als stärkere Aktivierung des Vermeidungs- im Verhältnis zum Annäherungssystem deuten. Zusammengefasst zeigte sich bei Patienten mit Zwangsstörungen eine veränderte Verarbeitung von emotionalen Reizen. Aus diesen Befunden können spezifische Empfehlungen für die Behandlung der Störung abgeleitet werden. / It is so not possible to formulate a disease model of obsessive-compulsive disorder (OCD) that integrates all the results of the many studies carried out. The neural processing of emotional stimuli might be altered in people with OCD. This might play an important role in the development and maintenance of OCD. The present work aimed to investigate specific components of the neural processing of emotional stimuli. The first two studies examined if the orienting of attention towards novel stimuli is enhanced in patients with OCD. For this purpose the event-related brain potentials evocated by novel stimuli in the electroencephalogram were recorded. The third study tested if the relationship between the withdrawal-avoidance mode and the approach mode of the motivational brain system is altered in OCD patients. This can be assessed by the hemispheric distribution of alpha power in frontal brain regions. The results of the first two studies showed that the orienting of attention towards novel stimuli is enhanced in patients with OCD independently of the emotional context condition (study 1), which could not be observed if the novel stimuli were listened to in active attentional mode (study 2). This was interpreted as a hypersensitive threat detection system. Further, it was found that patients showed a shift of frontal alpha activity to the left hemisphere compared to healthy control subjects (study 3). This result was independent of the viewing of emotional stimuli. It can be concluded that the avoidance mode is relatively increased in patients with OCD. Taken together, patients showed an altered neural processing of emotional stimuli. Specific recommendations for he treatment of the disorder can be drawn out of them.

Severe motor vehicle accidents (MVAs) represent one of the most often occurring psychological traumas, and are a leading cause of Posttraumatic Stress Disorder (PTSD). However, not all persons develop PTSD after traumatic events and a great proportion of patients who show symptoms initially recover over time. This has stimulated research of psychological and biological factors that explain development and maintenance of the disorder. Fortunately, this highly distressing condition can be effectively treated, e.g. via cognitive behavioral therapy (CBT). However, brain mechanisms underlying changes due to psychological therapy in PTSD are almost unknown (Roffman, Marci, Glick, Dougherty, &amp; Rauch, 2005). On the other hand there are observations of positive changes following trauma called Posttraumatic Growth (PTG), which have stimulated research of associated psychological processes and factors. However, there is a lack of research about the relation of biological variables (e.g. measures of brain function) and PTG. Theories of brain asymmetry and emotion (Davidson, 1998b, 2004b; Heller, Koven, &amp; Miller, 2003) propose that asymmetries of brain activation are related to certain features of human emotion (e.g. valence, approach or withdrawal tendencies, arousal). Whereas an enormous increase in the understanding of structural and functional abnormalities in PTSD could be achieved in the last decades due to neuroimaging research, there are still numerous unanswered questions. Especially, there is only little research explicitly examining activation asymmetries in PTSD. Furthermore, as mentioned, research is sparse investigating alterations of brain function that are associated with successful psychological treatment of PTSD. Finally, there is no published study examining how measures of brain function are related to PTG. This thesis presents 3 studies investigating electroencephalographic (EEG) asymmetries in survivors of severe motor vehicle accidents. The first part of the thesis (chapter 2) is devoted to a literature review about description (chapter 2.1), epidemiology (chapter 2.2 and 2.3), risk factors (chapter 2.4), psychological theories (chapter 2.5), biological mechanisms particularly neuroimaging findings (chapter 2.6), and treatment of PTSD (chapter 2.7.). Chapter 2.8 gives a short review on definition and research of Posttraumatic Growth. Chapter 2.9 provides an overview of models and research regarding brain asymmetry and emotion. In chapter 3.1, a study is presented that investigated hemispheric asymmetries (EEG alpha) among MVA survivors with PTSD, with subsyndromal PTSD, and without PTSD as well as non-exposed healthy controls during a baseline condition and in response to neutral, positive, negative, and trauma-related pictures (study I). Next, the findings of study II are presented (chapter 3.2). This study examined the effect of cognitive behavioral therapy on measures of EEG activity. Therefore, EEG activity before and after CBT in comparison to an assessment only Wait-list condition was measured. In chapter 3.3 a correlational study (study III) is presented that examined the relationship between frontal brain asymmetry and selfreported posttraumatic growth after severe MVAs. Finally, in chapter 4 the findings are summarized and discussed with respect to (1) the state/trait debate in frontal asymmetry research and (2) current psychological theories of PTSD and PTG. In addition, the use of neuroscientific research for psychotherapy is discussed. Suggestions are presented for future goals for “brain” research of PTSD and treatment of PTSD. / Schwere Verkehrsunfälle stellen eines der am häufigsten vorkommenden psychologischen Traumata dar, und sind eine Hauptursache der Posttraumatischen Belastungsstörung (PTBS). Jedoch entwickeln nicht alle Personen nach traumatischen Ereignissen eine PTBS und bei einem Großteil remittieren anfängliche PTBS-Symptome. Dies stimulierte die Erforschung von psychologischen und biologischen Faktoren, die die Entstehung und Aufrechterhaltung der PTBS erklären. Glücklicherweise kann die PTBS effektiv, z.B über die kognitive Verhaltenstherapie (KVT), behandelt werden. Jedoch sind Gehirnmechanismen, die mit klinischen Änderungen aufgrund der psychologischen Therapie in PTSD einhergehen, nahezu unbekannt (Roffman, Marci, Glick, Dougherty, Rauch, 2005). Auf der anderen Seite gibt es Berichte von positiven Änderungen nach traumatischen Ereignissen, die als Posttraumatische Reifung (PTR) bezeichent werden. Dies hat in kürzerer Vergangenheit die Forschung von verbundenen psychologischen Prozessen und Faktoren stimuliert. Jedoch gibt es kaum Untersuchungen über die Beziehung von biologischen Variablen (z.B Messungen der Gehirnfunktion) und PTR. Diese Arbeit präsentiert 3 Studien, die electroenzephalographische (EEG) Asymmetrien bei Opfern schwerer Verkehrsunfälle untersuchten. Der erste Teil der Arbeit (Kapitel 2) widmet sich einer Literaturrezension über: die Beschreibung (Kapitel 2.1), Epidemiologie (Kapitel 2.2 und 2.3), Risikofaktoren (Kapitel 2.4), psychologische Theorien (Kapitel 2.5), biologische Mechanismen besonders Neuroimaging Ergebnisse (Kapitel 2.6), und Behandlung der PTBS (Kapitel 2.7.). Kapitel 2.8 gibt einen kurzen Überblick über die Definition und Forschung zur Posttraumatischen Reifung. Kapitel 2.9 gibt eine Übersicht zu aktuellen Modellen und empirischen Befunden bezüglich Gehirnasymmetrien und Emotionen. Kapitel 3.1 präsentiert eine Studie, in der hemisphärische Asymmetrien (im EEG-Alpha Band) bei Unfallopfern mit PTBS, subsyndromaler PTBS, und ohne PTBS sowie gesunden Kontrollpersonen ohne Unfall untersucht wurden: während einer Ruhemessung und einer Emotionsinduktions-bedingung (neutrale, positive, negative und trauma-spezifische Bilder) (Studie I). Danach werden die Ergebnisse der Studie II (Kapitel 3.2) präsentiert. Hier wurde die Wirkung der kognitiven Verhaltenstherapie auf Messungen der EEG-Aktivität untersucht. Deshalb wurde EEG-Aktivität vor und nach einer KVT im Vergleich mit einer Warten-Gruppe gemessen. Kapitel 3.3 präsentiert eine Korellationsanalyse (Studie III), bei der die Beziehung zwischen der frontalen Gehirnasymmetrie und posttraumatischer Reifung untersucht wurde. Am Ende der Arbeit (Kapitel 4) werden die Ergebnisse zusammengefasst und in Bezug auf (1) die state/trait-Debatte im Rahmen der Asymmetrie-Forschung diskutiert sowie (2) ein Bezug zu aktuellen psychologische Theorien von PTSD und PTG hergestellt. Außerdem wird der Nutzen von neurobiologischer Forschung für die Psychotherapie besprochen. Dabei werden Vorschläge für zukünftige Projekte für die &quot;Gehirn&quot;-Forschung im Zusammenhang mit der PTBS, deren Behandlung und PTG gemacht.

<p> Although interest in brain-computer interfaces (BCIs) from researchers and consumers continues to increase, many BCIs lack the complexity and imaginative properties thought to guide users towards successful brain activity modulation. In this research, an experimental story brain-computer interface (ES-BCI) was developed, with which users could interact using cognitive strategies; specifically, thinking about the story and engaging with the main character of the story through their thought processes. In this system, the user’s frontal alpha asymmetry (FAA) measured with electroencephalography (EEG) was linearly mapped to the color saturation of the main character in the story. Therefore, the color saturation of the main character increased as FAA recorded from the participant’s brain activity increased above the FAA threshold required to receive visual feedback. A user-friendly experimental design was implemented using a comfortable EEG device and short neurofeedback (NF) training protocol. Eight distinct story scenes, each with a View and Engage NF component were created, and are referred to as blocks. In this system, seven out of 19 participants successfully increased FAA during the course of the study, for a total of ten successful blocks out of 152. Results concerning left (Lact) and right (Ract) prefrontal cortical activity contributions to FAA in both successful and unsuccessful blocks were examined to understand FAA measurements in greater detail. Additionally, electrodermal activity data (EDA) and self-reported questionnaire data were investigated to understand the user experience with this ES-BCI. Results suggest the potential of ES-BCI environments for engaging users and allowing for FAA modulation. New research directions for artistic BCIs investigating affect are discussed. </p>

In this thesis we examine the question whether it is possible to model approach and avoidance behaviour with probabilistic machine learning. The results from this project will primarily aid in our collective understanding of human existence. Secondly, it will extend the knowledge with regards to probabilistic machine learning in the Neuroscience domain. We aid this through building a Variational Recurrent Neural Network (VRNN) that is trained on Electroencephalography (EEG)-data from participants that is subjected to odours with varying pleasantness. The pleasantness of the odours is used to divide the participants into two classes based on their self reported experience. This data is used to train the VRNN. The performance of the VRNN is evaluated by how well we are able to reconstruct the original data from a low dimensional latent representation. In this task the model performs on a similar level as related works. We further investigate how changes in the latent space effects reconstructed data. Despite being disentangled, the latent variables are hard to interpret. Furthermore we try to classify and cluster the latent space as either approach or avoidance behaviour with a Support Vector Machine and Uniform Manifold Approximation. The classification results are only slightly better than random, indicating that the learned latent space is not suitable for the task This is most likely due to the patterns that make up approach and avoidance behaviour is seen as noise by the VRNN. This leads to the patterns not being accurately modelled. This is shown by the evidence that frontal α -asymmetry that exists in the data is not reconstructed by the model. The conclusion is therefore that a VRNN is less suitable for modelling underlying behaviour from raw EEG data due to the low signal to noise ratio. We instead suggests to focus on specific frequency ranges in specific regions when applying machine learning in this domain. / Den här uppsatsen behandlar frågan huruvida det är möjligt att modellera närmande och frånstötande beteendemönster med hjälp av maskininlärning. Resultaten från detta projekt ämnar huvudsakligen att främja vidare förståelse av den mänskliga existensen. Vidare ämnar den även att utvidga förståelsen av hur probabilistisk maskininlärning kan användas för att utforska dylika hänseenden. Vi genomför detta genom att bygga en Variational Recurrent Neural Network-modell (VRNN) som tränas på data från experiment där personer utsätts för olika lukter samtidigt som deras Elektroencefalografi (EEG) spelas in. Deltagarna delas in i två klasser beroende på deras självrapporterade upplevelse av luktens njutbarhet. Maskininlärningsmodellen utvärderas genom att vi analyserar hur väl den lyckas rekonstruera datan. Detta lyckas den väl med. Vidare så undersöker vi hur förändringar i modellens latenta rum påverkar rekonstrueringen av datan. Resultaten från det experimentet är ej tydliga. Vidare så försöker vi klassificera och klustra det latenta rummet med avseende på närmande och frånstötande beteende med hjälp av en Support Vector Machine och Uniform Manifold Approximation. Resultaten från dessa experiment är att vi inte lyckas klassificera eller klustra det latenta rummet med avseende på närmande och frånstötande beteende bättre än slumpen. Vi argumenterar för att detta beror på att de underliggande mönster som skapar dessa beteenden ses som brus av VRNN-modellen och därmed inte modelleras. Detta visas genom att frontal α-asymmetri som existerar i datan ej rekonstrueras av modellen. Slutsaten blir därmed att en VRNN är mindre passande att använda vid modellering av underliggande beteenden av obehandlad EEG data. Detta på grund av det låga signal till brus-förhållandet i EEG-datan. Vi föreslår att istället fokusera på specifika frekvensområden i specifika hjärnregioner när maskininlärning appliceras på EEG.