Dezhong Yao:


Dr. Yao got his Bachelor degree in Physics from Southwest University at Chongqing (1985), Master degree from Zhejiang University at Hangzhou (1988), and PhD degree at Chengdu University of Technology (1991) and at Aalborg University (Denmark) (2005). Since 1991, he has been a postdoctor (till 1993) in electromagnetic field and a faculty member in Biomedical Engineering (since 1993) at UESTC. He was appointed as a full Professor in 1995, and a Cheung Kong Professor in 2006.He is the founder of the School of Life Science and Technology (2001 - to date), the National International Joint Research Center of NeuroInformation(2013 - to data) and the Key Laboratory for NeuroInformation of Ministry of Education (2008 - to data). The Team Leader of the National “111” Project (2012-2016).

Pedro A. Valdes-Sosa:

Pedro A. Valdes-Sosa.jpg

Dr. Valdes-Sosa graduated as an MD from the University of Havana in 1972, as a Ph.D. in Biological Sciences in 1974 in the National Center for Scientific Research and did his postdoc at NYU. He started his work on EEG analysis in 1969 as part of the team that developed the first Cuban computer. He is a co-founder of the Cuban Neuroscience Center CNEURO (1990) and the Cuban National Network of Clinical Neurophysiology (1983), and is the coordinator of many of CNEURO’s international collaborations. His main area of expertise is analysis methods for Neuroimaging, especially Electrophysiological Source Imaging, EEG/fMRI fusion and the evaluation of Brain Effective Connectivity. He organized the Cuban EEG Brain Mapping project in the ‘80s and the multimodal Cuban Human Brain Mapping Project in the past decade. He is currently Meeting-Liaison of the Organization for Human Brain Mapping. He has published more than 230 peer reviewed articles since 1969. Seventy seven of these publications have been in the period 2001-2010 with an h factor of 33. Currently he is the General Vice-Director for Research at CNEURO, is a Senior Researcher, Senior Professor, and Member of the Cuban Academy of Sciences.

Daniele Marinazzo:


Dr. Marinazzo got his PhD in Physics at the university of Bari, Italy, with a thesis on the analysis of synchronization and predictability of biological time series. He was then a postdoc in the lab of Lyle Graham, CNRS, Paris, on a project mixing experiment and theory to enlighten the connection between biophysics and function in the cortex. He is currently a professor in the department of Data Analysis of the Faculty of Psychology and Pedagogical Sciences of the University of Gent, Belgium. He studies new techniques for the analysis of physiological data rooted in theoretical physics and machine learning, with a particular focus on retrieving brain connectivity form the analysis of neuroimaging data.

Participants (Oral Sessions):

Essential physical problems in EEG recording
Jorge RieraDebate on the Physical Existence of Monopoles

A methodology for fasta ssessments to the electrical

Pitfalls in the dipolar model for the neocortical EEG sources

Large-scale heterogeneous representation

Dezhong Yao

Monopoles for EEG Topographic Studies

The equivalent source technique and cortical imaging

High resolution EEG maping spherical harmonic theory

REST reference electrode standardization technique

An equivalent current source model and laplacian weighted minimum

High-resolution EEG mapping an equivalent charge layer approach

Cortical Mapping of EEG Alpha Power Using a Charge Brain Topor

High-resolution electro encephalogram mapping scalp charge layer

Comparative study of different references for EEG spectral mapping

A study on the reference electrode standardization technique

The effect of reference choices on the spatio-temporal analysis

Equivalent Charge Source Model

A zero reference Reference influences on the ERPs of audiovisual effects

A comparative study of different references for EEG default mode network

Equivalent physical models and formulation of equivalent source layer

Recognizing mild cognitive impairment

Anna Custo

EEG activity of the brain at rest: from sensor space to source space

Combined Optical and Magnetic Functional Brain Imaging.pdf

Comparison of Diffusion and Transport in human head.pdf

Altered auditory processing in frontal and left temporal cortex.pdf

EEG source imaging of brain states using spatiotemporal regression.pdf

Anatomical atlas-guided diffuse optical tomography of brain activation.pdf

Effective scattering coefficient of the cerebral spinal fluid.pdf

Validating an Anatomical Brain Atlas for Analyzing NIRS Measurements of Brain Activation.pdf

Validating atlas-guided DOT.pdf

Dimitris A. Pinotsis

DCM, Neural Fields and Electrophysiological Data

Dynamic causal modeling with neural fields.pdf

Dynamic causal modelling of lateral interactions in the visual cortex.pdf

Contrast gain control and horizontal interactions in V1 A DCM study.pdf

Anatomical connectivity and the resting state activity of large cortical networks.pdf

Claude Bedard

Monopoles and impedance measurements

Does the 1f Frequency Scaling of Brain Signals Reflect Self-Organized Critical States.pdf

Generalized cable formalism to calculate the magnetic field of single.pdf

Generalized cable theory for neurons in complex and heterogeneous media.pdf

Oversampling method to extract excitatory and inhibitory conductances.pdf

Andreas Spiegler

Network dynamics  and the node’s repertoire in a connectome-based whole brain model

Systematic approximations of neural fields.pdf

Modeling Brain Resonance Phenomena Using a Neural Mass Model.pdf

Bifurcation analysis of neural mass models.pdf

Daqing Guo

Neural Mass Modelling

Bidirectional Control of Absence Seizures by the Basal Ganglia.pdf

Xu Lei

Incorporating Priors  for EEG Source Imaging

EEG fMRI fusion based on independent component analysis.pdf

A parallel framework for simultaneous EEG fMRI analysis.pdf

Multimodal functional network connectivity An eeg-fmri fusion in the network space.pdf

fMRI Functional Networks for EEG Source Imaging.pdf

Dynamical connectivity in EEG

Pedro A. Valdes-


Concurrent EEG fMRI analysis by multiway partial least squares.pdf

EEG source imaging with spatio-temporal tomographic nonnegative ica.pdf

Model driven EEGfMRI fusion of brain oscillations.pdf

Estimating brain functional connectivity with sparse multivariate autoregression.pdf

Effective connectivity influence, causality and biophysical modeling.pdf

Penalized least squares methods for solving the EEG inverse problem.pdf

Nonlinear EEG analysis based on a neural mass model.pdf

Daniele Marinazzo

Synaptic characterisations of seizure onset with Dynamical Causal Modelling

On the modelling of seizure dynamics.pdf

On the nature of seizure dynamics.pdf

DCM for complex-valued data Cross-spectra, coherence and phase-delays.pdf

Roberto D


Controversies about Frequency Domain    

Measures of Directed Connectivity

Coherence and phase synchronization.pdf

Discrete, 3D distributed linear imaging methods of electric neuronal activity.pdf

Instantaneous and lagged measurements of linear and nonlinear dependence.pdf

Interaction patterns of brain activity across space, time and frequency.pdf

Assessing interactions with exact low-resolution electromagnetic tomography.pdf

Low resolution electromagnetic tomography.pdf

The isolated effective coherence.pdf



Connectivity or Inverse Solution?

Spatio-temporal correlations from fMRI time series based on the NN-ARx model.pdf

3D Statistical Parametric Mapping of quiet sleep EEG in the first year of life.pdf

3D statistical parametric mapping of EEG source spectra.pdf

Stefan Haufe

EEG Source Connectivity

Modeling sparse connectivity between underlying brain sources for EEG_MEG.pdf

A critical assessment of connectivity measures for EEG data.pdf

Towards EEG source connectivity analysis.pdf

Fabrizio de Vico


EEG Graph   Modeling

Comparison of different cortical connectivity estimators.pdf

Cortical network dynamics during foot movements.pdf

Brain network analysis from high-resolution EEG recordings.pdf

Multiple pathways analysis of brain functional networks.pdf

Peng Xu  EEG Network

Common Spatial Pattern of Weighted EEG Resting Networks.pdf

Cortical network properties revealed by SSVEP in anesthetized rats.pdf

Multiple Frequencies Sequential Coding for SSVEP-Based Brain-Computer Interface.pdf

Lp norm iterative sparse solution for EEG source Localization.pdf

3SCO a space coding algorithm.pdf

Prediction of SSVEP-based BCI performance by the resting-state EEG network.pdf

SSVEP Response Is Related to Functional Brain Network Topology Entrained.pdf


Christoph M. Michel

Head model and electrical source imaging A study of 38 epileptic patients.pdf

The physiological plausibility of time-varying Granger-causal.pdf

Ding MingZhou

Coupling between visual alpha oscillations and default mode activity.pdf


Neural Substrate of the Late Positive Potential in Emotional.pdf

Laura Marzetti

A Signal-Processing Pipeline for Magnetoencephalography Resting-State Networks.pdf

The use of standardized infinity reference in EEG coherency studies.pdf

Frequency specific interactions of MEG resting state activity.pdf

Understanding brain connectivity from EEG data.pdf

Third order spectral analysis robust to mixing artifacts.pdf

Scott Makeig

Zeynep Akalin Acar

Effects of Forward Model Errors on EEG Source Localization.pdf

Pedro A.


White matter architecture rather than cortical surface area correlates with the EEG alpha rhythm.pdf

Approximate average head models for EEG source imaging.pdf

An in vivo MRI Template Set for Morphometry, Tissue Segmentation, and fMRI Localization in Rats.pdf

Luca Faes

Assessing causality in brain dynamics and cardiovascular control.pdf

Measuring frequency domain granger causality for multiple.pdf

Measuring connectivity in linear multivariate processes.pdf



Biophysical Mechanisms of Multistability in Resting-State.pdf

Scale-Free Bursting in Human Cortex following Hypoxia at.pdf

Gustavo Deco

Emerging concepts for the dynamical organization of resting-state activity in the brain.pdf

Peter Robinson

Discrete-network versus modal representations of brain activity Why a sparse regions-of-interest approach can work for analysis of continuous dynamics.pdf

Dynamics of large-scale brain activity in normal arousal states and epileptic seizures.pdf

Determination of effective brain connectivity from functional connectivity.pdf

Propagation and stability of waves of electrical activity in the cerebral cortex.pdf

Multiscale brain modelling.pdf

Physiology-based modeling of cortical auditory evoked potentials.pdf

Unified neurophysical model of EEG spectra and evoked potentials.pdf

Quantitative theory of driven nonlinear brain dynamics.pdf

Martine Gavaret

MEG and EEG Sensitivity in a Case of Medial Occipital Epilepsy.pdf



Bayesian model averaging in EEG MEG imaging.pdf

Michael W.

A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents.pdf

Luzia Troebinger

High precision anatomy for MEG.pdf