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Eliana García Cossio

Eliana García Cossio
Bayer AG · Biomarker and Data Insights

PhD

About

34
Publications
8,831
Reads
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1,253
Citations
Introduction
I am a scientist with several years of experience in applied neuroscience. I have dedicated my career to develop solutions for improving the quality of life of patients with neurological disorders. I am a bio-signal data lover and programmer with strong background on different analytical techniques for studying neurophysiology. My passion is social transformation and science and technology the instruments to sculpt it.
Additional affiliations
September 2014 - present
Radboud University
Position
  • PostDoc Position
April 2011 - present
University of Tuebingen
Position
  • Research Assistant
April 2011 - present
University of Tuebingen
Position
  • PhD Student
Education
April 2011 - September 2014
International Max Planck Research School of Neural and Behavioral Science
Field of study
  • Neuroscience
January 2004 - January 2009
Escuela de Ingeniería de Antioquia
Field of study
  • Biomedical Engineering

Publications

Publications (34)
Article
Objective: Stroke affects the expression of muscle synergies underlying motor control, most notably in patients with poorer motor function. The majority of studies on muscle synergies have conventionally approached this analysis by assuming alterations in the inner structures of synergies after stroke. Although different synergy-based features bas...
Article
Background: Brain-machine interfaces (BMIs) have been recently proposed as a new tool to induce functional recovery in stroke patients. Objective: Here we evaluated long-term effects of BMI training and physiotherapy in motor function of severely paralyzed chronic stroke patients 6 months after intervention. Methods: A total of 30 chronic stro...
Poster
Full-text available
Recent research has shown the advantages of combining electroencephalography (EEG) with transcranial magnetic stimulati on (TMS) and transcranial electric sti mulation (tES) into a closed -loop system and that slow excitability changes in the oscillati ng ne uronal network (particularly from the sensorimotor rhythms (SMR)) can explain the response...
Article
Objective: In light of the shortcomings of current restorative brain computer interfaces (BCI), this study investigates the possibility of using EMG to detect hand/wrist extension movement intention to trigger robot-assisted training in individuals without residual movements. Methods: We compare an EMG movement intent detector with a sensorimoto...
Poster
Full-text available
There is a need of understanding the mechanisms behind transcranial electric stimulation (tES) due to its high inter-and intra-individual variability in response [1]. Since brain oscillations can be used as rapid markers of brain states in a variety of brain functions, targeting brain oscillations using tES might elucidate and clarify its mechanism...
Poster
Full-text available
The evaluation of the performance of the two artefact correction approaches delivered information about the advantages of each method. The ‘sinusoidal’ artefact correction based on a recursive discrete Fourier transformation at the stimulation frequency delivers overall good signal reconstruction. The elimination might be too strong in some cases t...
Article
Full-text available
Locomotor malfunction represents a major problem in some neurological disorders like stroke and spinal cord injury. Robot-assisted walking devices have been used during rehabilitation of patients with these ailments for regaining and improving walking ability. Previous studies showed the advantage of brain-computer interface (BCI) based robot-assis...
Data
Gait cycles were determined according to the right heel strike (red dots) using the accelerometer’s data from the right (blue continue line) leg. The left leg’s accelerometer data is as well illustrated (black dotted line) for comparisons. (TIF)
Data
Power density analysis of EMG artifacts in healthy volunteers. a. Spectral density analysis over all electrodes for active and passive walking and the baseline before passive and active walking conditions. b. Topographic distribution of event related desynchronization (ERD) and synchronization (ERS) in the mu (8–12 Hz), beta (15-30Hz) and low gamma...
Article
Full-text available
Background: Abnormal upper arm-forearm muscle synergies after stroke are poorly understood. We investigated whether upper arm function primes paralyzed forearm muscles in chronic stroke patients after Brain-Machine Interface (BMI)-based rehabilitation. Shaping upper arm-forearm muscle synergies may support individualized motor rehabilitation strat...
Article
Transcranial direct current stimulation (tDCS) can influence cognitive, affective or motor brain functions. Whereas previous imaging studies demonstrated widespread tDCS effects on brain metabolism, direct impact of tDCS on electric or magnetic source activity in task-related brain areas could not be confirmed due to the difficulty to record such a...
Article
We investigated neurophysiological brain responses elicited by a tactile event-related potential paradigm in a sample of ALS patients. Underlying cognitive processes and neurophysiological signatures for brain-computer interface (BCI) are addressed. We stimulated the palm of the hand in a group of fourteen ALS patients and a control group of ten he...
Article
Full-text available
Objective Stroke is a leading cause of long-term motor disability. Stroke patients with severe hand weakness do not profit from rehabilitative treatments. Recently, brain-controlled robotics and sequential functional electrical stimulation allowed some improvement. However, for such therapies to succeed, it is required to decode patients' intention...
Data
Full-text available
Supplementary material and methods.
Article
Full-text available
Background: Recent experimental evidence has indicated that the motor system coordinates muscle activations through a linear combination of muscle synergies that are specified at the spinal or brainstem networks level. After stroke upper limb impairment is characterized by abnormal patterns of muscle activations or synergies. Objective: This study...
Article
Recent theories of brain function propose brain synchronization as a fundamental mechanism governing different aspects of behavior such as motor activity, perception and cognition. In addition research indicates that different neurologic and psychiatric disorders are associated with abnormal brain synchronization. In a recent study, it was used tra...
Article
Full-text available
Objective: Transcranial direct current stimulation (tDCS) improves motor learning and can affect emotional processing and attention. However, it is unclear whether learned electroencephalography (EEG)-based brain-machine interface (BMI) control during tDCS is feasible, how application of transcranial electric currents during BMI control would inter...
Conference Paper
Stroke is the main cause of hemiparesis in developed countries. Very often upper limbs are compromised and the hemiparesis is characterized by abnormal muscle activations especially at the level of the wrist and fingers (distal muscles). In this study we investigated the stability and strength of paretic upper limb muscle activity during different...
Conference Paper
Movement related cortical potentials (MRCPs) have been studied for many years and proposed as reliable and immediate indicators of cortical reorganizations in motor learning and after stroke. It has been reported that decrease in amplitude and later onset of MRCPs reflect less mental effort and shorter planning time during a motor task. In this stu...
Article
Objective: Chronic stroke patients with severe hand weakness respond poorly to rehabilitation efforts. Here, we evaluated efficacy of daily brain-machine interface (BMI) training to increase the hypothesized beneficial effects of physiotherapy alone in patients with severe paresis in a double-blind sham-controlled design proof of concept study. M...
Article
Full-text available
Brain oscillations reflect pattern formation of cell assemblies' activity, which is often disturbed in neurological and psychiatric diseases like depression, schizophrenia and stroke. In the neurobiological analysis and treatment of these conditions, transcranial electric currents applied to the brain proved beneficial. However, the direct effects...
Article
Full-text available
Brain computer interface systems use brain signals to enable the control of external devices, such as: wheelchairs, communicators, neuro-prosthesis, among others; in people with severe motor disabilities. In this study two young men with motor disabilities were trained to learn how to control a brain computer interface (BCI) using the P300 evoked p...
Article
Full-text available
Nowadays, brain-computer interfaces (BCI) are designed to be used in experimental and clinical studies, and their results allow the creation of new assistive technologies for people with motor disabilities. In 2008, a prototype of a BCI was developed in the School of Engineering of Antioquia and the University CES, which uses electroencephalography...
Article
Full-text available
En la actualidad, las Interfaces Cerebro-Computador (ICC) se diseñan con el fin de usarlas tanto en estudios experimentales como clínicos, y sus resultados permiten la creación de nuevas tecnologías asistidas para personas que se encuentran en situación de discapacidad motora. En el año 2008, se desarrolló un prototipo de una ICC en la Escuela de I...
Article
A Brain-Computer interface (BCI) is a communication system that enables the generation of a control signal from brain signals such as sensorymotor rhythms and evoked potentials; therefore, it constitutes a novel communication option for people with severe motor disabilities (such as Amyotrophic Lateral Sclerosis patients). This paper presents the d...
Article
Full-text available
A brain-computer interface (BCI) is a communication system that translates a brain signal (e.g. sensorimotor rhythms, evoked potentials) into a control signal and, therefore, constitutes an innovative communication alternative for people with severe motor disability (such as patients with amyotrophic lateral sclerosis). This project proposes the de...
Article
Full-text available
A brain computer interface BCI is a device that helps people with severs motor disabilities. It allows an external communication through the electrical activity of the brain without the assistance of the peripheral nerves or muscle activity. This project used a BCI system, based on P300 paradigm which was developed at Universidad Nacional de Entre...

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