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Resting states of the brain and state dependent information processing in health and disease

English title Resting states of the brain and state dependent information processing in health and disease
Applicant Koenig Thomas
Number 136249
Funding scheme Sinergia
Research institution Abteilung Psychiatrische Neurophysiologie Universitätsklinik und Poliklinik für Psychiatrie
Institution of higher education University of Berne - BE
Main discipline Neurophysiology and Brain Research
Start/End 01.01.2012 - 30.06.2015
Approved amount 950'442.00
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All Disciplines (2)

Discipline
Neurophysiology and Brain Research
Neurology, Psychiatry

Keywords (14)

Resting state networks; EEG; fMRI; State-dependent information processing; Synchronization; Attention; Working memory; Tone processing; Brain maturation; ADHD; Sleep; Schizophrenia; Excellence; Professional musicans

Lay Summary (English)

Lead
Lay summary

Human perception and cognition depend critically on age, arousal clinical, cognitive and motivational state and experience. The same factors also affect brain activity at rest (resting state networks, RSNs), and it has been shown that deviations from normal resting state activity often reflects dysfunctions in later perception and cognition. Individual brain- and behavioral responses to environmental stimuli are thus interactions of internal pre-stimulus brain states and the characteristic brain responses to perceptual and cognitive demands.

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. The included subject groups and paradigms will allow cross-references among the effect of maturation, fatigue, psychosis, ADHD, and excellence upon the brain-responses to working-memory and attentional demands. We will assess brain states by simultaneously measuring EEG and fMRI, thus obtaining spatially well-defined indices of metabolic activity from the fMRI as well as EEG based information about the fast dynamics of stimulus processing.

The project assembles researchers specialized in different domains, permitting to address broad aspects of RSN and environment interaction using a bandwidth of populations and paradigms not conceivable for a single lab. At the same time, the methodological and conceptual coherence within the research team ensures that the expected findings of the sub-projects can be integrated into a common framework and are mutually informative, such that synergistic conclusions can be drawn that go beyond the extend of the single projects.

Direct link to Lay Summary Last update: 21.02.2013

Responsible applicant and co-applicants

Employees

Publications

Publication
MRI with and without a high-density EEG cap-what makes the difference?
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.
Pre-stimulus BOLD-network activation modulates EEG spectral activity during working memory retention
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.
Persistent and changing neural alterations of spatial working memory across development in Attention-Deficit/Hyperactivity Disorder (ADHD)
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.
The „silent“ imprint of musical training
Klein C., Liem F., Hänggi J., Elmer S., Jäncke L., The „silent“ imprint of musical training, in Human Brain Mapping.
The Influence of Pre-stimulus EEG Activity on Reaction Time During a Verbal Sternberg Task is Related to Musical Expertise
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.
Towards using microstate-neurofeedback for the treatment of psychotic symptoms in schizophrenia. A feasibility study in healthy participants.
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.

Collaboration

Group / person Country
Types of collaboration
Cuban Neuroscience Center Cuba (South America)
- in-depth/constructive exchanges on approaches, methods or results
- Exchange of personnel
Functional Brain Mapping Lab, University of Geneva Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
Music neuroimaging laboratory, Boston USA United States of America (North America)
- in-depth/constructive exchanges on approaches, methods or results
ZI Mannheim (Central Institute of Mental Health), Germany Germany (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Exchange of personnel
Childrens University Hospital, Zurich Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results

Scientific events



Self-organised

Title Date Place
Brione Mapping Workshop 12.08.2013 Brione s.M., Switzerland

Awards

Title Year
"Best Oral Presentation" to Laura Tüshaus at the at the ZIHP Annual Symposium 2014 “Best Contribution” at the conference on “Resting States and State Dependent Information Pro-cessing in Health and Disease” in 2014 2014

Associated projects

Number Title Start Funding scheme
146643 Sleep onset and other state transitions: insights from quantitative EEG analysis 01.04.2014 Project funding (Div. I-III)
124089 Imaging large scale neuronal networks in epilepsy 01.05.2009 SPUM
119953 Does slow wave sleep strengthen the memory traces of both consciously and nonconsciously encoded episodes? 01.05.2008 Interdisciplinary projects
146789 Therapeutic response and neurobiological prediction markers in auditory verbal hallucinations 01.07.2014 Project funding (Div. I-III)
121927 Musikexpertise und Sprachfunktionen 01.02.2009 Project funding (Div. I-III)
158984 State dependency in schizophrenia spectrum disorder 01.03.2015 Doc.Mobility
130766 Human sleep regulation: Insights from inter-individual differences 01.05.2010 Project funding (Div. I-III)
124114 Impact of qualitative MR perfusion imaging on the management of patients with carotid artery disease 01.10.2009 SPUM

Abstract

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.
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