A5007436348- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Psychosomatic Disorders and Their Treatments
- Mindfulness and Compassion Interventions
- Neural and Behavioral Psychology Studies
- Heart Rate Variability and Autonomic Control
- Genetic Neurodegenerative Diseases
- Electrochemical Analysis and Applications
- Bipolar Disorder and Treatment
- Advanced MRI Techniques and Applications
- Complex Network Analysis Techniques
- Complex Systems and Time Series Analysis
- Paranormal Experiences and Beliefs
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Education and Critical Thinking Development
- Pain Management and Placebo Effect
- Neurological disorders and treatments
- Neuroscience, Education and Cognitive Function
- Neuroscience and Music Perception
- Neurology and Historical Studies
- Motor Control and Adaptation
- Mitochondrial Function and Pathology
University of Zurich
2014-2020
University Hospital of Zurich
2011
Functional dissociation between brain processes is widely hypothesized to account for aberrations of thought and emotions in schizophrenic patients. The typically small groups analyzed patients yielded different neurophysiological findings, probably because patient are likely comprise schizophrenia subtypes. We multichannel eyes-closed resting EEG from three acutely ill, first episode productive before start medication (from centers: Bern N = 9; Osaka Berlin 12) their controls. Low...
A brain microstate is characterized by a unique, fixed spatial distribution of electrically active neurons with time varying amplitude. It hypothesized that implements functional/physiological state the during which specific neural computations are performed. Based on this hypothesis, electrical activity modeled as sequence non-overlapping microstates variable, finite durations (Lehmann and Skrandies 1980, 1984; Lehmann et al 1987). In study, EEG recordings from 109 participants eyes closed...
We investigated brain functional connectivity comparing no-task resting to breath counting (a meditation exercise but given as task without referring meditation). Functional computed EEG coherence between head-surface data suffers from localization ambiguity, reference dependence, and overestimation due volume conduction. Lagged intracortical model sources addresses these criticisms. With this analysis approach, experienced meditators reportedly showed reduced during meditation,...
A brain microstate is characterized by a unique, fixed spatial distribution of electrically active neurons with time varying amplitude. It hypothesized that implements functional/physiological state the during which specific neural computations are performed. Based on this hypothesis, electrical activity modeled as sequence non-overlapping microstates variable, finite durations (Lehmann and Skrandies 1980, 1984; Lehmann et al 1987). In study, EEG recordings from 109 participants eyes closed...
1. Abstract EEG/MEG neuroimaging consists of estimating the cortical distribution time varying signals electric neuronal activity, for study functional localization and connectivity. Currently, many different imaging methods are being used, with very capabilities correct activity The aim here is to provide a guideline choosing best (i.e. least bad) method. This first limited comparison following EEG signals: sLORETA eLORETA (standardized exact low resolution electromagnetic tomography), MNE...
The problem of interest here is the study brain functional and effective connectivity based on non-invasive EEG-MEG inverse solution time series. These signals generally have low spatial resolution, such that an estimated signal at any one site instantaneous linear mixture true, actual, unobserved across all cortical sites. False can result from analysis these low-resolution signals. Recent efforts toward "unmixing" been developed, under name "leakage correction". One recent noteworthy...
Abstract This study (N = 37 with high, medium, and low hypnotizables) evaluated depth reports EEG activity during both voluntary hypnotically induced left-arm lifting sLORETA functional neuroimaging. The hypnotic condition was associated higher in fast frequencies anterior regions slow central-parietal regions, all left-sided. frequency right-hemisphere left regions. Hypnotizability did not have a significant effect on activity, but correlated hemisphere increased decreased central activity....
Bipolar disorder (BD) electroencephalographic (EEG) studies have reported varying results. The present study compared EEG in BD during manic and depressive episodes, using brain electrical source imaging [standardized low-resolution electromagnetic tomography (sLORETA)] to assess the cortical spatial distribution of sources oscillation frequencies.Two independent datasets (a total 95 patients with bipolar I disorder, whom 59 were female) analyzed. Dataset #1 comprised 14 a as well episode....
The brain's electric field configuration reflects its momentary, global functional state. fluctuations of these states can be analyzed at millisecond resolution by the EEG microstate analysis. This analysis reportedly allowed detection brain state duration, occurrence, and sequence aberrations in psychiatric disorders such as schizophrenia, dementia, depression. Several existing software solutions implement analysis, but they all require extensive user-interaction. represents a major...
Huntington's disease (HD) is characterized by psychiatric, cognitive, and motor disturbances. The study aimed to determine electroencephalography (EEG) global state microstate changes in HD their relationship with cognitive behavioral impairments. EEGs from 20 unmedicated patients controls were compared using properties (connectivity dimensionality) (EEG analysis). For four classes (A, B, C, D), three parameters computed: duration, occurrence, coverage. Global- between groups correlated test...
Bipolar disorder (BD) is a chronic illness with relapsing and remitting time course. Relapses are manic or depressive in nature intermitted by euthymic states. During states, patients lack the criteria for diagnosis, but still suffer from impaired cognitive functioning as indicated difficulties executive language-related processing. The present study investigated whether these deficits reflected altered intracortical activity functional connectivity between brain regions involved processes...
1 Abstract The problem of interest here concerns electrophysiological signals from two cortical sites, acquired as invasive intracranial recordings, or non-invasive estimates electric neuronal activity computed EEG MEG recordings (see e.g. https://doi.org/10.1101/269753 ). In the absence other sources, these measured consist an instantaneous linear mixture true, actual, unobserved local signals, due to low spatial resolution and volume conduction. A connectivity measure is unreliable a true...
Identifying dynamic transactions between brain regions has become increasingly important. Measurements within and across structures, demonstrating the occurrence of bursts beta/gamma oscillations only during one specific phase each theta/alpha cycle, have motivated need to advance beyond linear stationary time series models. Here we offer a novel measure, namely, "dual frequency RV-coupling coefficient", for assessing different types frequency-frequency interactions that subserve information...
1. Abstract In a seminal paper by von Stein and Sarnthein (2000), it was hypothesized that “bottom-up” information processing of “content” elicits local, high frequency (beta-gamma) oscillations, whereas “top-down” is “contextual”, characterized large scale integration spanning distant cortical regions, implemented slower (theta-alpha) oscillations. This corresponds to mechanism transactions, where synchronization beta-gamma oscillations between regions mediated widespread theta-alpha . It...