Technology developments to initiate a next generation of Cochlear Implants

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Comparison of Responses to DCN vs. VCN Stimulation in a Mouse Model of the Auditory Brainstem Implant (ABI)

Stéphanie Lacour, Nicolas Vachicouras, Florent-Valéry Coen

The auditory brainstem implant (ABI) is an auditory neuroprosthesis that provides hearing to deaf patients by electrically stimulating the cochlear nucleus (CN) of the brainstem. Whether such stimulation activates one or the other of the CN's two major sub ...

SPRINGER2022

Sense of agency for intracortical brain-machine interfaces

Olaf Blanke, Andrea Serino, Nathan Quentin Faivre, Marco Solcà, Pavo Orepic, Tommaso Enrico Bertoni

Intracortical brain-machine interfaces decode motor commands from neural signals and translate them into actions, enabling movement for paralysed individuals. The subjective sense of agency associated with actions generated via intracortical brain-machine ...

NATURE PORTFOLIO2022

Clinical neuroscience and neurotechnology: An amazing symbiosis

Silvestro Micera

In the last decades, clinical neuroscience found a novel ally in neurotechnologies, devices able to record and stimulate electrical activity in the nervous system. These technologies improved the ability to diagnose and treat neural disorders. Neurotechnol ...

2022

Methods for acute and long-term imaging of the ventral nerve cord in behaving adult Drosophila

Laura Joan Hermans

Understanding how neural circuits remodel and adapt to animal behavior is a central theme in the field of Neuroscience. One strategy to reach this goal is to repeatedly record the same animal's neural circuits and observe how they adapt when facing differe ...

EPFL2022

A Software Tool for the Real-Time in Vivo Evaluation of Neural Electrodes' Selectivity

Silvestro Micera, Stanisa Raspopovic, Francesco Maria Petrini, Ivo Strauss

High neural selectivity is an important indicator of how well a neural electrode will perform in a clinical setup. Among other factors, neural selectivity of an electrode strongly depends on its implant location. Today, the neural selectivity is evaluated ...

IEEE2021

Predicting task performance from biomarkers of mental fatigue in global brain activity

Mahsa Shoaran

Objective. Detection and early prediction of mental fatigue (i.e. shifts in vigilance), could be used to adapt neuromodulation strategies to effectively treat patients suffering from brain injury and other indications with prominent chronic mental fatigue. ...

IOP PUBLISHING LTD2021

Transient Neurovascular Interface for Minimally Invasive Neural Recording and Stimulation

Diego Ghezzi, Philippe Reymond, Laura Ferlauto, Adele Fanelli, Elodie Geneviève Zollinger

Neural interfaces are used to mitigate the burden of traumatic injuries, neurodegenerative diseases, and mental disorders. However, the transient or permanent placement of an interface in close contact with the neural tissue requires invasive surgery, pote ...

Wiley2021

Connectivity Measures Differentiate Cortical and Subcortical Sub-Acute Ischemic Stroke Patients

Silvestro Micera

Brain lesions caused by cerebral ischemia lead to network disturbances in both hemispheres, causing a subsequent reorganization of functional connectivity both locally and remotely with respect to the injury. Quantitative electroencephalography (qEEG) meth ...

FRONTIERS MEDIA SA2021

Motor state transitions and Breathing in Brain Machine Interfaces

Bastien Orset

Brain-Machine interfaces aim to create a direct neural link between user's brain and machines. This goal has pushed scientists to investigate a large spectrum of applications in the realm of assistive and rehabilitation technologies. However, despite great ...

EPFL2021

Soft materials and technologies for neural interfaces

Michael Shur

Implantable neural interfaces are an emerging concept which is revolutionizing various domains of medicine and rehabilitation. However, the long-term efficiency and reliability of these devices is often limited, mainly attributed to the fundamental differe ...

EPFL2021

Adaptive Wireless Power Transfer and Backscatter Communication for Perpetual Operation of Wireless Brain-Computer Interfaces

James Daniel Rosenthal

Brain-computer interfaces (BCIs) are neural prosthetics that enable closed-loop electrophysiology procedures. These devices are currently used in fundamental neurophysiology research, and they are moving toward clinical viability for neural rehabilitation. ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022