Leonardo Abdala Elias is an Associate Professor at the Department of Electronics and Biomedical Engineering, School of Electrical and Computer Engineering, University of Campinas (UNICAMP, Brazil). Also, he is a researcher and current director of the Center for Biomedical Engineering, UNICAMP. He is the founder and current head of the Neural Engineering Research Laboratory (NER Lab). His research in neural engineering focuses on theoretical/computational and experimental investigations that aimed at understanding how different elements of the neuromusculoskeletal system interact during normal and pathological control of human movement. Dr. Elias received the BS in electrical engineering from the Federal University of Goias (Goiania, Brazil) in 2008, and the MS and PhD in biomedical engineering both from the University of Sao Paulo (Sao Paulo, Brazil) in 2010 and 2013, respectively. He has habilitation ("privatdozent") in biomedical engineering from the University of Campinas (2022). He was a post-doctoral fellow at the Biomedical Engineering Lab, University of Sao Paulo (2013-2015), and a visiting researcher at the Department of Neurorehabilitation Engineering, Georg-August University (Goettingen, Germany, 2015). He is member of the International MotoNeuron Society, and the Brazilian Society of Biomedical Engineering. (Source: Lattes Curriculum)
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The neurophysiological control of muscle force comprises a complex interplay between elements of the nervous, muscular and skeletal systems. From a neurophysiological standpoint, the activity of motor units and sensory afferents are of paramount importance to shape the motor output during the execution of different tasks. In this research project, the neurophysiological control of muscle …
Decomposition of surface High-Density Electromyographic signals (HD EMG) into motor unitspike trains opens a non-invasive window to neural mechanisms underlying movement control. The signals produced by EMG decomposition have a scientific (to understand the physiology of motor system) and technological (to the control of human-machine interfaces, such as myoelectric prosthesis) relevance.…
Studies on the neurophysiological control of muscle force have used correlation analysis to understand the functional coupling between different structures of the nervous system during a motor task. The assumption behind these techniques is that the relations between the experimentally recorded variables [e.g., electroencephalogram (EEG), surface electromyogram (sEMG), motor unit activity…
The relative role of spinal cord circuits in generation and control of muscle force is still unknown. Multiscale computational models of the neuromuscular system can help the understanding and definition of hypothesis on the functioning of the motor system. In the present study, the aim is to evaluate the role of two specific spinal cord circuits, namely: 1) the monosynaptic excitatory pa…
Parkinson's disease (PD) has been postulated to result from degeneration of dopaminergic neurons in the basal ganglia. The main symptoms of this neurodegenerative disease are: tremor, difficulty in the maintenance of posture, and uncoordinated movements. Parkinsonian tremor is thought to emerge from increased cortical oscillations, especially in alpha (8-15Hz) and beta (15-35Hz) bands. Th…
The H (Hoffman) reflex is a noninvasive technique used to evaluate the synaptic organization of the spinal cord, as well as the excitability of the reflex arc. In this procedure, percutaneous electrical stimuli are applied to the peripheral nerve to evoke reflex responses that can be measured by the electromyogram of the target muscle. Different factors can modulate the H-reflex amplitude…
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The performance of a given motor task is largely influenced by the neural drive to the muscles, which is provided by the spinal motor neurons (MNs). Therefore, the way these MNs integrate a plethora of neural signals from different sources is determinant to mold the motor output. One factor that is known to influence the force control is the degree of synchronism (or correlation) between …
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