Resting state networks; EEG; fMRI; State-dependent information processing; Synchronization; Attention; Working memory; Tone processing; Brain maturation; ADHD; Sleep; Schizophrenia; Excellence; Professional musicans
Klein Carina, Haenggi Juergen, Luechinger Roger, Jaencke Lutz (2015), MRI with and without a high-density EEG cap-what makes the difference?, in NEUROIMAGE
, 106, 189-197.
Kottlow Mara, Schlaepfer Anthony, Baenninger Anja, Michels Lars, Brandeis Daniel, Koenig Thomas (2015), Pre-stimulus BOLD-network activation modulates EEG spectral activity during working memory retention, in FRONTIERS IN BEHAVIORAL NEUROSCIENCE
, 9, 1-11.
Bollmann S., Ghisleni C., Poil S.S., Martin E., Ball J., Eich-Höchli D., Klaver P., O'Gorman R., Michels L., Brandeis D., Persistent and changing neural alterations of spatial working memory across development in Attention-Deficit/Hyperactivity Disorder (ADHD), in World Journal of Biological Psychiatry
Klein C., Liem F., Hänggi J., Elmer S., Jäncke L., The „silent“ imprint of musical training, in Human Brain Mapping
Klein Carina, Diaz Hernandez Laura, Koenig Thomas, Kottlow Mara, Elmer Stefan, Jäncke Lutz, The Influence of Pre-stimulus EEG Activity on Reaction Time During a Verbal Sternberg Task is Related to Musical Expertise, in Brain Topography
Diaz Hernandez L., Heri K., Baenninger A., Brandeis D., Koenig T., Towards using microstate-neurofeedback for the treatment of psychotic symptoms in schizophrenia. A feasibility study in healthy participants., in Brain Topography
Human perception and cognition depend critically on ,age, arousal and sleep state, clinical and pharmacological conditions, cognitive and motivational state, and the level of expertise for the particular task. Modern brain imaging methods have attracted much research to the study of the neural underpinnings of human cognition and perception and have revealed the underlying neural networks. In the absence of a task, brain activity is also organized into well structured resting state networks (RSNs) with reproducible typical or “normal” features. Using the available neuroimaging methods, it has been shown that deviations from those norms often reflect dysfunctions in perception and cognition. This strongly suggests that individual brain- and behavioral responses to environmental stimuli are interactions of internal pre-stimulus brain states and the characteristic brain responses to perceptual and cognitive demands. Currently, there is abundant knowledge about the mean neurophysiological activation during perception and cognition in healthy controls and in many pathological, developmental or pharmacological conditions, but little is known about the interaction between pre-stimulus state neural activity and the neural activity during cognitive processing. To elucidate this particular relationship is the principal aim of our research endeavor. Specifically, we want to clarify the interaction of resting and pre-stimulus brain states with cognitive capacities and performance in a broad range of normal and clinical populations and experimental conditions, including a working memory task, selective attention, tone processing in musicians and perceptual reframing. We plan to assess brain states by simultaneously measuring EEG and fMRI, and thus obtaining spatially well-defined indices of metabolic activity from the fMRI as well as EEG based information about the related processing mode (e.g. excitatory-fast or inhibitory-slow mode). The information about long-range coactivation (seen differently with both methods) will be used to condense the definition of brain states to the activity of different functional networks, each with a particular and partially adaptable spatial and electrophysiological signature. Understanding resting state functional networks as function of development, skills, psychopathology or vigilance and knowing their effect and response upon cognition and perception of a stimulus will allow us to better understand the neural underpinnings of human cognition and perception and to put dysfunctional responses of clinical populations into a broader context. The main questions we would like to address are the following:1) Which networks affect stimulus processing, and in which way?2) How do these networks vary during normal development and at different levels of arousal or consciousness?3) How are these networks affected or altered by ADHD and schizophrenia?4) Which network features are related to exceptional (musical) skills?The project team assembles researchers specialized in different domains (basic research, signal analysis, neuropsychology, neurology, adult and child development, child psychiatry, and sleep research). The multidisciplinary research team is thus in an excellent position to address broad aspects of RSN-environment interaction using a bandwidth of populations and paradigms not conceivable for a single laboratory. At the same time, the methodological and conceptual coherence within the research team ensures that the expected findings in the sub-projects can be integrated into a common framework and are mutually informative, such that conclusions can be drawn that go beyond the extend of the single projects.