• Media type: Electronic Conference Proceeding
  • Title: Multi-scale, multi-species, multi-methodology experiments, analysis tools and simulation models of Brain States and Complexity in SP3-UseCase002
  • Contributor: De Bonis, Giulia [Author]; Pastorelli, Elena [Author]; Nieus, Thierry [Author]; Arena, Alessandro [Author]; Storm, Johan Frederik [Author]; Massimini, Marcello [Author]; Pavone, Francesco Saverio [Author]; Sanchez-Vives, Maria V. [Author]; Mattia, Maurizio [Author]; Davison, Andrew [Author]; Denker, Michael [Author]; Paolucci, Pier Stanislao [Author]; Capone, Cristiano [Author]; Gutzen, Robin [Author]; Camassa, Alessandra [Author]; Berengué, Arnau Manasanch [Author]; Resta, Francesco [Author]; Mascaro, Anna Letizia Allegra [Author]; Pazienti, Antonio [Author]; Pigorini, Andrea [Author]
  • Published: Forschungszentrum Jülich: JuSER (Juelich Shared Electronic Resources), 2020
  • Published in: Human Brain Project Summit, Athens, Greece, 2020-02-03 - 2020-02-06
  • Language: English
  • Origination:
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  • Description: The general goal of SP3-UseCase002 is to offer to external users, through EBRAINS Knowledge Graph, an integrated environment, dedicated to the topic of cortical slow wave activity (SWA) [1,2] in spontaneous and perturbed mode, and to sleep/awake transitions, measures of complexity (like PCI, perturbational complexity index) and the cognitive effects of sleep in thalamo-cortical systems. The offering includes multi-scale multi-species experimental data, simulation models, simulation results, and analysis tools. The analysis tools are designed to be applicable to both experimental data and simulation results since, for a fair comparison and accurate validation of the models, the outcome of data-driven biologically-plausible simulations [3] should be subjected to the same analysis tools used for the data. We note that the variety of the experimental techniques for data acquisition and the diversity of subjects and species involved (due to large biological variability, but also to brain states, physiological/pathological conditions, drug doses and data taking setups) make challenging the building of reliable and generalizable data analysis tools aimed at identifying common observables when comparing the outcome of different experiments acquired with different experimental modalities, and at obtaining reproducible results.SP3-UseCase002 integrates the results of WP3.2 (aka WaveScalES, focusing on sleep, anaesthesia and transition to wakefulness, KR3.2) and WP3.4 (aka ConsciousBrain, focusing on neural correlates and measure of consciousness in physiological and pathological brains, KR3.4).The analysis pipeline developed by WaveScalES [4,5], when applied to experimental data, enables the extraction of key spatio-temporal characteristics from slow waves acquired with multiple experimental methodologies (using micro-ECoG arrays and wide-field Calcium imaging techniques, to be extended to hd-EEG and stereo-EEG), at local and multi-areal spatial resolution. The platform also includes simulation models of SWA and AW-like ...
  • Access State: Open Access