Resting-state networks; EEG; Microstates; Consciousness; fractal; fMRI; Neuroimaging; resting state networks; temporal dynamics
Tomescu MI Rihs TA Becker R Britz J Custo A Grouiller F Schneider M Debbané M Eliez S Miche (2014), Deviant dynamics of EEG resting state pattern in 22q11.2 deletion syndrome adolescents: A vulnerability marker of schizophrenia?, in Schizophrenia Research
, 157, 175-181.
Custo A Vulliemoz S Grouiller F Van De Ville D Michel C (2014), EEG source imaging of brain states using spatiotemporal regression, in Neuroimage
, 1(96), 106-116.
Britz J Diaz Hernandez L Ro T Michel CM (2014), EEG-microstate dependent emergence of perceptual awareness, in Frontiers in Behavioral Neuroscience
, 14(8), 163-170.
Rochas V Rihs TA Rosenberg N Landis T Michel CM (2014), Very early processing of emotional words revealed in temporoparietal junctions of both hemispheres by EEG and TMS, in Exp. Brain Res.
, 232(4), 1267-1281.
Becker R Pefkou M Michel CM Hervais-Adelman AG (2013), Left temporal alpha-band activity reflects single word intelligibility, in Front Syst Neurosci
, 7(121), 1-10.
Brodbeck Verena, Kuhn Alena, von Wegner Frederic, Morzelewski Astrid, Tagliazucchi Enzo, Borisov Sergey, Michel Christoph M, Laufs Helmut (2012), EEG microstates of wakefulness and NREM sleep., in NeuroImage
, 62(3), 2129-39.
Van de Ville D Britz J Michel CM. (2011), EEG microstate sequences in healthy humans at rest reveal scale-free dynamics, in Proc Natl Acad Sci U S A
, 107(42), 18179-18184.
Pitts MA Britz J. (2011), Insights from intermittent binocular rivalry and EEG, in Frontiers in Human Neuroscience
, 5, 107.
Britz J. Pitts MA (2011), Perceptual reversals during binocular rivalry: ERP components and their concomitant source differences, in Psychophysiology
, 48(11), 1490-1499.
Brunet D Murray MM Michel CM. (2011), Spatiotemporal analysis of multichannel EEG: CARTOOL., in Comput Intell Neurosci.
, 2011(2011), 813870.
Michel CM Murray M (2011), Towards the utilization of EEG as a brain imaging tool, in Neuroimage
, 61, 371-385.
Rihs Tonia A, Tomescu Miralena I, Britz Juliane, Rochas Vincent, Custo Anna, Schneider Maude, Debbané Martin, Eliez Stephan, Michel Christoph M, Altered auditory processing in frontal and left temporal cortex in 22q11.2 deletion syndrome: A group at high genetic risk for schizophrenia., in Psychiatry research
Khanna A Pascual-Leone A Michel CM Farzan F, Microstates in resting-state EEG: Current status and future directions., in Neurosci Biobehav Rev
Britz J. Michel C.M., State-dependent visual processing, in Frontiers in Perception Science
Gindrat A-D Quairiaux C Britz J Brunet D Lanz F Michel CM Rouiller EM, Whole-scalp EEG mapping of somatosensory evoked potentials in macaque monkeys: a model for lesion-dependent plasticit, in Brain Structure and Function
Modern cognitive and clinical neuroscience research has started to recognize that the communication within and between large-scale neuronal networks is a crucial feature of brain functioning. Both normal and deficient behavior is thereby considered in terms of function and dysfunction of networks rather than of isolated brain areas. Using functional magnetic resonance imaging (fMRI) coherent activity in these large-scale networks has been demonstrated not only during task performance, but also at rest. These so-called resting-state networks have very slow temporal dynamics and thus seem to reflect the intrinsic activity in anatomically connected networks, rather than the ongoing rapid conscious mental activities that are mediated by these networks. Our project focuses on the dynamics of large-scale neuronal networks in the sub-second time scale. Networks have to reorganize very rapidly in order to flexibly adapt to momentary thoughts or incoming information. In order to study these fast network dynamics we will use brain-mapping methods that are based on high-density electroencephalography (EEG), which has millisecond temporal resolution. We propose to investigate both, the spatial properties of the global EEG scalp potential field and the evolution of these potential fields over time. A series of studies over the last three decades repeatedly showed that the spatio-temporal structure of the scalp potential fields follows very idiosyncratic rules that are similar across subjects, known as EEG microstates. It has been proposed but never systematically investigated, that EEG microstates, like fMRI-defined resting state networks, reflect the intrinsic activity in anatomically connected networks, but that the temporal structure of the microstates in the sub-second time range reflects the mental acts that makes a subject conscious about himself and the environment, i.e. that the microstate topographies are the signatures of the anatomy of large-scale networks, while their temporal dynamics reveal their function. So far, EEG microstates have only been assessed in wakeful human subjects. Here, we propose to examine EEG microstates in different species and in different global functional states in order to investigate whether they are the neural correlate of the elementary building blocks of cognition. If the microstate hypothesis is correct, EEG microstates should be observable not only in wakeful humans, but also in lower species and non-conscious functional states, but with less organized or distorted temporal structure. We will benefit from several past and ongoing collaborations with different groups, where multi-channel EEG has been and will be recorded for other purposes. We will analyze existing multichannel EEG of mice, rats, monkeys, pre-term and term-born babies, 2 year old children, healthy adults at different ages, and of patients with different neuropsychiatric disorders. In most species, we will analyze EEG microstates both during wakefulness and anesthesia. We will analyze the temporal structure of the microstates using a powerful wavelet-based fractal analysis method that is able to robustly distinguish between mono- and multifractal behavior, and we will study the functional connectivity within the microstates using time varying causality measures in the inverse space.In addition to the analysis of the already available data, we will perform three new experiments, one recording EEG microstates in sleep, one recording simultaneously EEG, fMRI, respiration and blood pressure, and one looking at stimulus- and task induced microstate modulations.We are convinced that this project will provide a new approach to investigate the fundamental basics of large-scale functional networks of the brain. This method with its high temporal resolution is able to capture the rapid dynamics of the mental activities that are governed by these networks, and whose distortion may lead to the expression of several devastating neuropsychiatric diseases.