The phenomenon of the increase in alpha EEG activity associated with eye closure has been shown to be successful for implementing environmental control for disabled persons. Studies in this thesis investigate strategies which improve the reliability, robustness, and ease of use of alpha EEG control systems. Primarily, research covers the effectiveness of alpha EEG detection algorithms (with regard to detection time and susceptibility to artifact) and the construction and use of EEG sensing electrodes. Many new techniques for the detection of the increase of alpha EEG associated with eye closure are researched, developed, implemented and evaluated. All detection techniques are compared to a conventional method using a novel performance parameterisation criterion. In conjunction with the application of the same EEG data sets to all techniques, the use of the performance criteria enables a fair and quantitative comparison to be made between alpha detection methodologies. Detection techniques employed include enhanced versions of conventional methods, localisation of apparent alpha sources in the brain, and preprocessing methods (such as spatial filtering, adaptive filtering and independent component analysis). The best performance of alpha EEG detection was given by the source power alpha localisation technique, which showed statistically significant and practically important improvements in performance over conventional techniques. Additionally, this localisation technique is convenient and fast to implement. In situations in which electrodes are intended for unsupervised use with environmental control systems, the evaluation of alternative electrode types to the conventional wet electrodes is required, as the use of wet electrodes has several drawbacks. The performance of wet, dry and insulating electrodes is compared in this research. One aspect of the quantitative comparison of electrodes types is the measurement of contact impedance. To enable the fast and accurate measurement of impedance spectra, a new impedance spectroscopy system was developed as part of this thesis. In addition to comparison of impedance criteria, electrodes were evaluated in the presence movement-based, and electric field induced, artifacts. The electrode comparisons were carried out in a direct and quantitative manner in a controlled test environment for the first time. Results indicate that, in contrast to earlier reports, both dry and insulating electrode perform well with respect to artifact and offer a viable alternative to wet electrodes for long-term monitoring of biosignals from the surface of the skin. More improvements are required before such electrodes are suitable for EEG usage.

The phenomenon of the increase in alpha EEG activity associated with eye closure has been shown to be successful for implementing environmental control for disabled persons. Studies in this thesis investigate strategies which improve the reliability, robustness, and ease of use of alpha EEG control systems. Primarily, research covers the effectiveness of alpha EEG detection algorithms (with regard to detection time and susceptibility to artifact) and the construction and use of EEG sensing electrodes. Many new techniques for the detection of the increase of alpha EEG associated with eye closure are researched, developed, implemented and evaluated. All detection techniques are compared to a conventional method using a novel performance parameterisation criterion. In conjunction with the application of the same EEG data sets to all techniques, the use of the performance criteria enables a fair and quantitative comparison to be made between alpha detection methodologies. Detection techniques employed include enhanced versions of conventional methods, localisation of apparent alpha sources in the brain, and preprocessing methods (such as spatial filtering, adaptive filtering and independent component analysis). The best performance of alpha EEG detection was given by the source power alpha localisation technique, which showed statistically significant and practically important improvements in performance over conventional techniques. Additionally, this localisation technique is convenient and fast to implement. In situations in which electrodes are intended for unsupervised use with environmental control systems, the evaluation of alternative electrode types to the conventional wet electrodes is required, as the use of wet electrodes has several drawbacks. The performance of wet, dry and insulating electrodes is compared in this research. One aspect of the quantitative comparison of electrodes types is the measurement of contact impedance. To enable the fast and accurate measurement of impedance spectra, a new impedance spectroscopy system was developed as part of this thesis. In addition to comparison of impedance criteria, electrodes were evaluated in the presence movement-based, and electric field induced, artifacts. The electrode comparisons were carried out in a direct and quantitative manner in a controlled test environment for the first time. Results indicate that, in contrast to earlier reports, both dry and insulating electrode perform well with respect to artifact and offer a viable alternative to wet electrodes for long-term monitoring of biosignals from the surface of the skin. More improvements are required before such electrodes are suitable for EEG usage.

In this dissertation, I have addressed the question of how resting-state EEG markers primarily in the alpha frequency range are linked to general cognitive performance and age. In the three studies presented in the work, I show that alpha power, frequency, and temporal dynamics, have distinct contributions to cognitive control functions in different age groups. Moreover, individual alpha peak frequency as well as the slope of 1/f decay of the PSD shows consistent age-related alterations, while alpha power is linked to structural alterations in the white matter. Our research extends further existing literature by specifying relevant neural networks as well as important methodological considerations that should be taken into account when analysing properties of oscillations.

Several lines of evidence suggest that asymmetric anterior brain activation is related to affective style, linking left hemisphere activation to positive affect and right hemisphere activation to negative affect. However, previous reports of left frontal hypoactivation in depressed patients were not confirmed in recent studies. This study evaluated additional characteristics of resting EEG alpha (8–13 Hz) asymmetry in 15 clinically depressed patients and 22 healthy adults by recording EEG activity on two separate occasions, 2–4 weeks apart. Across both sessions, group differences in anterior EEG asymmetry were compatible with the original hypothesis. However, groups differed in temporal stability of anterior EEG asymmetry, which was retest reliable in controls but not depressed patients. In contrast, temporal stability of posterior EEG asymmetry was acceptable in both groups. Increased variability of anterior EEG asymmetry may be a characteristic feature for depression, and, if so, this would challenge the notion that anterior EEG alpha asymmetry is a trait marker for depression. / Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.

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, & 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, & 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 "Gehirn"-Forschung im Zusammenhang mit der PTBS, deren Behandlung und PTG gemacht.

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.

Contexte : La régulation émotionnelle est un ensemble de processus responsables du contrôle, de l’évaluation et de l’ajustement des émotions dans un objectif. Les résultats d’imagerie fonctionnelle s’accordent sur l’implication des structures frontales et limbiques tandis que les résultats en neurophysiologie, encore rares, suggèrent un rôle du rythme alpha dans l’induction émotionnelle et du rythme thêta dans la régulation. Objectifs et hypothèses : Notre objectif était d’étudier le rythme thêta et alpha pendant la réévaluation de stimuli déplaisants. Nous avons émis l’hypothèse que l’activité alpha serait modulée lors de l’induction émotionnelle seulement tandis que l’activité thêta préfrontale serait positivement corrélée à une régulation réussie. Méthode : Vingt-quatre participants sains ont été enregistrés avec 64 électrodes EEG alors qu’ils regardaient passivement ou réévaluaient des images négatives et neutres. Les rythmes thêta et alpha ont été comparés lors de l’induction émotionnelle puis dans les conditions de maintien, de diminution et d’augmentation de l’émotion, et une localisation de la source a estimé les générateurs. Résultats : Le rythme alpha était non sensible à l’induction et à la régulation. L’activité thêta était systématiquement plus élevée dans la condition de régulation à la hausse que dans la condition de maintien (p=.04) principalement au début de la régulation (1-3 sec) pour thêta bas et plus tard (5-7 sec) pour le thêta haut avec comme générateur du thêta bas le gyrus frontal moyen et le cortex cingulaire antérieur dorsal. Conclusion : Le rythme thêta était impliqué dans les processus de réévaluation à la hausse de l’émotion. / Context: Emotion regulation is a set of processes responsible for controlling, evaluating and adjusting reactions to achieve a goal. Results derived from magnetic resonance imaging agreed on the involvement of frontal and limbic structures in this process. Findings using cognition and physiology interactions are still scarce but suggest a role for alpha rhythm in emotional induction and theta in regulation. Objectives and hypotheses: Our goal was to investigate theta and alpha rhythm during the reappraisal of aversive stimuli. We hypothesized that an implication of alpha rhythm in emotional induction only and an increase in prefrontal theta rhythm positively correlated with successful regulation. Method: Twenty-four healthy participants were recorded with 64 EEG electrodes while asked to passively watch or reappraise negative pictures. Theta and alpha rhythms were compared across maintain, decrease and increase regulation conditions, and a source localization estimated the generators. Results: Theta activity was consistently higher in the upregulation than in the maintenance condition (p=.04) for the entire control period, but mainly at the beginning of regulation (1-3 sec) for low-theta and later (5-7 sec) for high-theta. Moreover, our results confirm that a low-theta generator correlated with mainly the middle frontal gyrus and the dorsal anterior cingulate cortex during upregulation. Theta was sensitive to emotion upregulation, whereas the alpha oscillation was non-sensitive to emotion induction and regulation. Conclusion: The low-theta rhythm was involved explicitly in emotion upregulation processes that occur at a definite time during reappraisal, whereas the alpha rhythm was not altered by emotion induction and regulation.

Vision identifies objects rapidly and efficiently. In contrast, object recognition by touch is much slower. Furthermore, haptics usually serially accumulates information from different parts of objects, whereas vision typically processes object information in parallel. Is haptic object identification slower simply due to sequential information acquisition and the resulting memory load or due to more fundamental processing differences between the senses? To compare the time course of visual and haptic object recognition, we slowed visual processing using a novel, restricted viewing technique. In an electroencephalographic (EEG) experiment, participants discriminated familiar, nameable from unfamiliar, unnamable objects both visually and haptically. Analyses focused on the evoked and total fronto-central theta-band (5–7 Hz; a marker of working memory) and the occipital upper alpha-band (10–12 Hz; a marker of perceptual processing) locked to the onset of classification. Decreases in total upper alpha-band activity for haptic identification of objects indicate a likely processing role of multisensory extrastriate areas. Long-latency modulations of alpha-band activity differentiated between familiar and unfamiliar objects in haptics but not in vision. In contrast, theta-band activity showed a general increase over time for the slowed-down visual recognition task only. We conclude that haptic object recognition relies on common representations with vision but also that there are fundamental differences between the senses that do not merely arise from differences in their speed of processing.

This study employed multiple assessments, including sleep/resting waking EEG (visual scoring and power spectral analysis) and psychomotor vigilance task, to access effects of varying pulse-modulated microwaves (such as: 'talk', 'listen' and 'standby' mode signals) emitted from a standard mobile phone. The idea was prompted by a finding that the pulse modulation frequencies of mobile phone signals correspond to the frequencies of brain delta and alpha waves. Thereby it is possible the brain is able to recognize and respond to the low-frequency components of the mobile phone signals. Supporting evidence comes from repetitively reported EEG alpha and spindle effects of the 2, 8 and 217-Hz pulsed microwave exposure. Furthermore, brain imaging (EEG and PET) studies reveal 'low-frequency pulse-modulated waves' rather than the 'microwave frequency carrier waves' is the sine qua non for inducing these brain physiological effects [Huber et al., 2002, 2005; Regel et al., 2007a]. On the other hand, recent converging evidence, from molecular, behavioural and electrophysiological level, have shown that brain plasticity is a continuous process from waking to sleep and, sleep, a well-defined physiological condition, is 'shaped' by the waking experiences. The latter findings suggest certain sleep EEG features may characterize levels of cortical plasticity during wakefulness. The work presented in this thesis was inspired by these studies and aimed to understand how the real mobile phone signals with different low-frequency pulsing components [such as 'talk' (8, 217 Hz pulsed), 'listen' (2, 8, 217 Hz pulsed) and 'stand by' mode < 2 Hz pulsed)] change human brain electrical activities from waking to sleep. We approached this question based on EEG analysis in two domains: (1) EEG visual scoring; (2) EEG spectral analysis from relaxed waking to the deeper stages of non-NREM sleep. We also looked at the effects on the psychomotor vigilance performance. Results suggest 'talk' and 'Iisten/standby' modes have inverse effects on the distinctive thalamo-cortical oscillation modes and may thus impart inverse effects on their sleep structures. The implications of this study are of practical importance as it suggests the thalamo-cortical oscillations can be modulated by synchronizing rTMS/tDCS/DBS and sleeplwaking EEG. This concept may be applied to modulate the brain oscillation modes for enhancing sleep-dependent brain plastiCity or information processing.

The master´s thesis presents the problems of EEG biofeedback and its application to relax people. The first part discusses the properties of EEG signal , the requirements of the standard EEG and also distribusion signal into different frequency bands. The main essence of the work is the design and realization of Alfa Monitor – a device for relaxation , that for implamanting EEG biofeedback uses acoustic form and sensing of electrical activity of brain in the region of alpha waves. The second half of the work is t focused on circuit design, using integrated circuits with component values of relevant calculations . Further, it analyzes the practical implementation of alfa monitor. The last chapter is devoted to the testing the functionality of this device.