Ramon Martinez-Cancino

Brain Products GmbH

Being able to remove or weigh down the influence of outlier data is desirable for any statistical model. While magnetic and electroencephalographic (MEEG) data are often averaged across trials per condition, it is becoming common practice to use information from all trials to build statistical linear models. Individual trials can, however, have con...

Being able to remove or weigh down the influence of outlier data is desirable for any statistical models. While Magnetic and ElectroEncephaloGraphic (MEEG) data used to average trials per condition, it is now becoming common practice to use information from all trials to build linear models. Individual trials can, however, have considerable weight...

Reproducibility is a cornerstone of scientific communication without which one cannot build upon each other’s work. Because modern human brain imaging relies on many integrated steps with a variety of possible algorithms, it has, however, become impossible to report every detail of a data processing workflow. In response to this analytical complexi...

Modulation of the amplitude of high-frequency cortical field activity locked to changes in the phase of a slower brain rhythm is known as phase-amplitude coupling (PAC). The study of this phenomenon has been gaining traction in neuroscience because of several reports on its appearance in normal and pathological brain processes in humans as well as...

Modulation of the amplitude of high-frequency cortical field activity locked to changes in phase of a slower brain rhythm is known as phase-amplitude coupling (PAC). The study of this phenomenon has been gaining traction in neuroscience because of several reports on its appearance in normal and pathological brain processes in humans as well as acro...

Background Abnormal gaze discrimination in schizophrenia (SZ) is associated with impairment in social functioning, but the neural mechanisms remain unclear. Evidence suggests that local neural oscillations and inter-areal communication through neural synchronization are critical physiological mechanisms supporting basic and complex cognitive proces...

EEGLAB signal processing environment is currently the leading open-source software for processing electroencephalographic (EEG) data. The Neuroscience Gateway (NSG, nsgportal.org) is a web and API-based portal allowing users to easily run a variety of neuroscience-related software on high-performance computing (HPC) resources in the U.S. XSEDE netw...

In this report we present a mobile brain/body imaging (MoBI) dataset that allows study of source-resolved cortical dynamics supporting coordinated gait movements in a rhythmic auditory cueing paradigm. Use of an auditory pacing stimulus stream has been recommended to identify deficits and treat gait impairments in neurologic populations. Here, the...

A growing body of evidence indicates a pivotal role of cognition and in particular executive function in gait control and fall prevention. In a recent gait study using electroencephalographic (EEG) imaging, we provided direct proof for cortical top-down inhibitory control in step adaptation. A crucial part of motor inhibition is recognizing stimuli...

The EEGLAB signal processing environment is a widely used open source software environment for processing electroencephalographic (EEG) data. The Neuroscience Gateway (nsgportal.org) is a software portal allowing users to readily run a variety of neuroimaging software on high performance computing (HPC) resources. We have expanded the current Neuro...

EEGLAB (sccn.ucsd/eeglab) is an open source signal processing environment for electrophysiological signals running on Matlab (Mathworks, Inc.). Despite the extensive documentation and current widespread use of EEGLAB, implementing reasoned preprocessing of EEG data remains challenging for many users because of the richness and variety of algorithms...

Here we demonstrate the suitability of a local mutual information measure for estimating the temporal dynamics of cross-frequency coupling (CFC) in brain electrophysiological signals. In CFC, concurrent activity streams in different frequency ranges interact and transiently couple. A particular form of CFC, phase-amplitude coupling (PAC), has raise...

Most attempts to use brain-computer interfaces to rehabilitate impaired cognition fall short due to the use of suboptimal brain imaging technology and oversimplified assumptions of linearity and stationarity of brain interactions. In this work, we address these shortcomings by proposing an online-capable brain state monitoring method in which EEG s...

This exploratory study demonstrates the suitability and adequacy of a Local Mutual Information (LMI) to estimate the dynamics of cross-frequency coupling (CFC) in brain electrophysiological signals. In tonic or transient CFC, concurrent activity streams in distinct frequency ranges interact. A particular form of CFC, phase-amplitude coupling (PAC),...

Here we present results of integrating into EEGLAB (sccn.ucsd.edu/eeglab) functionality for computing general linear model (GLM) statistics leveraging functionality in the LIMO EEG Toolbox (Pernet et al., 2011), and validating their efficacy using a publicly available data set (Wakeman and Henson, 2015). In the near future, statistical analysis bas...

The goal of this paper is twofold. We propose and explore a model to study the synchronization among populations in the canonical model of the neocortex proposed previously by (R.J. Douglas, K.A.C. Martin, A functional microcircuit for cat visual cortex. J.Physiol. 440(1991) 735–769). For this, a model describing N synapses of each m-population (m...

We propose a neural mass model for anatomically-constrained effective connectivity among neuronal populations residing in four layers (L2/3, L4, L5 and L6) within a cortical column. Eight neuronal populations in a given column--an excitatory population and an inhibitory population per layer--are assumed to be coupled via effective connections of un...

Export Date: 21 January 2011, Source: Scopus

Our goal is to model the behavior of an ensemble of interacting neurons and astrocytes (the neural-glial mass). For this, a model describing N tripartite synapses is proposed. Each tripartite synapse consists of presynaptic and postsynaptic nerve terminals, as well as the synaptically associated astrocytic microdomain, and is described by a system...