A5033276278- EEG and Brain-Computer Interfaces
- Neuroscience and Neural Engineering
- Muscle activation and electromyography studies
- Neural dynamics and brain function
- Spinal Cord Injury Research
- Neurological disorders and treatments
- Advanced Memory and Neural Computing
- Magnetic Properties and Synthesis of Ferrites
- Parkinson's Disease Mechanisms and Treatments
- Magnetic properties of thin films
- Action Observation and Synchronization
- Nonlinear Dynamics and Pattern Formation
- Aortic Disease and Treatment Approaches
- Neuroscience and Neuropharmacology Research
- stochastic dynamics and bifurcation
- Visual perception and processing mechanisms
- Advanced Neuroimaging Techniques and Applications
- Neural and Behavioral Psychology Studies
- Motor Control and Adaptation
- Alzheimer's disease research and treatments
- Nerve Injury and Rehabilitation
- Transcranial Magnetic Stimulation Studies
- Cerebral Palsy and Movement Disorders
- Genetic Neurodegenerative Diseases
- Iron oxide chemistry and applications
École Polytechnique Fédérale de Lausanne
2015-2024
University of Lausanne
2020-2024
University of Geneva
2018-2022
University Hospital of Lausanne
2020-2022
ORCID
2020
Brown University
2018-2019
Allen Institute for Brain Science
2018-2019
Brown Institute for Media Innovation
2018
University of Freiburg
2012-2016
Imperial College London
2012-2016
The mechanical mismatch between soft neural tissues and stiff implants hinders the long-term performance of implantable neuroprostheses. Here, we designed fabricated with shape elasticity dura mater, protective membrane brain spinal cord. electronic which call e-dura, embeds interconnects, electrodes, chemotrodes that sustain millions stretch cycles, electrical stimulation pulses, chemical injections. These integrated modalities enable multiple neuroprosthetic applications. extracted...
Restoring communication for people with locked-in syndrome remains a challenging clinical problem without reliable solution. Recent studies have shown that paralysis can use brain-computer interfaces (BCIs) based on intracortical spiking activity to efficiently type messages. However, due neuronal signal instability, most BCIs required frequent calibration and continuous assistance of skilled engineers maintain performance. Here, an individual brain stem stroke tetraplegia secondary...
Brain-computer interfaces (BCIs) require demanding numerical computations to transfer brain signals into control driving an external actuator. Increasing the computational performance of BCI algorithms carrying out these calculations enables faster reaction user inputs and allows using more decoding algorithms. Here we introduce a modular extensible software architecture with multi-threaded signal processing pipeline suitable for applications. The load latency (the time that system needs...
A brain-machine interface (BMI) can be used to control movements of an artificial effector, e.g. arm prosthesis, by motor cortical signals that the equivalent corresponding body part, movements. This approach has been successfully applied in monkeys and humans accurately extracting parameters from spiking activity multiple single neurons. We show same realized using brain measured directly surface human cortex electrocorticography (ECoG). Five subjects, implanted with ECoG implants for...
Background Brain-machine interfaces (BMIs) can translate the neuronal activity underlying a user's movement intention into movements of an artificial effector. In spite continuous improvements, errors in decoding are still major problem current BMI systems. If difference between decoded and intended becomes noticeable, it may lead to execution error. Outcome errors, where subjects fail reach certain goal, also present during online operation. Detecting such be beneficial for operation: (i)...
Brain-machine interface (BMI) devices make errors in decoding. Detecting these online from neuronal activity can improve BMI performance by modifying the decoding algorithm and correcting made. Here, we study correlates of two different types which both be employed BMI: (i) execution error, due to inaccurate subjects' movement intention; (ii) outcome not achieving goal movement. We demonstrate that, electrocorticographic (ECoG) recordings surface human brain, strong error-related neural...
ABSTRACT Behavior relies on continuous influx of sensory information about the body. In primates, motor cortex must integrate somatic feedback to accurately reach and manipulate objects. Yet, prior work demonstrates that is well-described with deterministic, rather than input-driven, dynamics. Deterministic dynamics facilitate robust movement generation, but flexible output requires rapid responses unexpected inputs. Here, we resolved this paradox by simultaneously recording neural...
Progressive supranuclear palsy is a primary tauopathy affecting both neurons and glia responsible for motor cognitive symptoms. Recently, it has been suggested that progressive may spread in the brain from cell to 'prion-like' manner. However, direct experimental evidence of this phenomenon, its consequences on functions, still lacking primates. In study, we first derived sarkosyl-insoluble tau fractions post-mortem brains patients with palsy. We also isolated same fraction age-matched...
Abstract Parkinson's disease motor symptoms are treated with levodopa, but long‐term treatment leads to disabling dyskinesia. Altered synaptic transmission and maladaptive plasticity of corticostriatal glutamatergic projections play a critical role in the pathophysiology Because noble gas xenon inhibits excitatory signaling, primarily through allosteric antagonism N‐methyl‐ d ‐aspartate receptors, we aimed test its putative antidyskinetic capabilities. We first studied direct effect exposure...
Intracortical brain-computer interfaces (BCIs) can enable individuals to control effectors, such as a computer cursor, by directly decoding the user’s movement intentions from action potentials and local field (LFPs) recorded within motor cortex. However, accuracy complexity of effector achieved with “biomimetic” BCIs will depend on degree which intended movements used elicit modulate neural activity. In particular, channels that do not record distinguishable only LFP modulations may be...
Translational studies on motor control and neurological disorders require detailed monitoring of sensorimotor components natural limb movements in relevant animal models. However, available experimental tools do not provide a sufficiently rich repertoire behavioral signals. Here, we developed robotic platform that enables the kinematics, interaction forces, neurophysiological signals during user-defined upper tasks for monkeys.We configured to position instrumented objects three-dimensional...
SUMMARY Recovering arm control is a top priority for people with paralysis. Unfortunately, the complexity of neural mechanisms underlying practically limited effectiveness neurotechnology approaches. Here, we exploited function surviving spinal circuits to restore voluntary and hand in three monkeys cord injury using stimulation. Our interface leverages functional organization dorsal roots convey artificial excitation via electrical stimulation relevant segments at appropriate movement...
Abstract Recovering arm control is a top priority for people with paralysis. Unfortunately, the complexity of neural mechanisms underlying practically limited effectiveness neurotechnology approaches. Here, we exploited function surviving spinal circuits to restore voluntary and hand in three monkeys cord injury using stimulation. Our interface leverages functional organization dorsal roots convey artificial excitation via electrical stimulation relevant segments at appropriate movement...
A spinal cord injury (SCI) causes immediate and sustained hemodynamic instability that threatens neurological recovery impacts quality of life. Here, we establish the clinical burden chronic hypotensive complications due to SCI in 1,479 participants, expose ineffective treatment these with conservative measures. To address this burden, developed a purpose-built implantable system based on biomimetic epidural electrical stimulation (EES) immediately triggered robust pressor responses. The...
Paralysis has a severe impact on patient's quality of life and entails high emotional burden life-long social financial costs (`One Degree Separation, Spinal Cord Injury in the United States' 2009; “Towards concerted efforts for treating curing spinal cord injury” 2002; Arno, Levine, Memmott 1999). Restoring movement independence people with paralysis remains challenging clinical problem, currently no viable solution. Recent demonstrations intracortical brain-computer interfaces,...
ABSTRACT Dimensionality reduction methods are frequently used to analyze high-dimensional activity of cortical neuron populations during behavior. The resulting oscillatory trajectories that consistently emerge from this analysis have been interpreted as a signature latent dynamical systems. Here, we show these necessarily result applying dimensionality on recordings approximately exhibit continuous variation in time, regardless whether or not the recorded system incorporates dynamics.
Neuronal responses to sensory stimuli or neuronal related behaviour are often extracted by averaging activity over large number of experimental trials. Such trial-averaging is carried out reduce noise and diminish the influence other signals unrelated corresponding stimulus behaviour. However, if recorded jittered in time with respect behaviour, trials may distort estimation underlying response. Temporal jitter between single trial neural can be partially completely removed using realignment...