The hybrid Brain-Computer Interface: a bridge to assistive technology?

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Reading out neuronal activity from three-dimensional (3D) functional imaging requires segmenting and tracking individual neurons. This is challenging in behaving animals if the brain moves and deforms. The traditional approach is to train a convolutional n ...

The outstanding information processing capacity of the brain relies on numerous molecular mechanisms. It is an extremely energy-expensive function, which involves specialization and collaboration of different cell types. A common framework to study the com ...

Spinal Cord Injury (SCI) affects almost 500,000 people every year, causing complete paralysis of both legs in severe cases, with no current treatment perspective. However, new neuroengineering technologies, such as the Brain Spine Interface (BSI), have eme ...

A spinal cord injury interrupts the communication between the brain and the region of the spinal cord that produces walking, leading to paralysis(1,2). Here, we restored this communication with a digital bridge between the brain and spinal cord that enable ...

The present invention relates to a combined neuromodulation and/or neurostimulation system (10) for mitigating locomotor deficits of/or neuronal disorders, especially Parkinson's disease, said system (10) comprising: - at least one Deep Brain Stimulation ( ...

Over the past two decades, epidural electrical stimulation (EES) has transitioned from a treatment for chronic pain to a promising paradigm for ameliorating deficits associated with neurological disorders like spinal cord injury (SCI) and Parkinson's Disea ...

The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting Hybrid Minds focuses on the integration of artificial intelligence into the human brain through intelligent brain- ...

Recent years have seen considerable progress in understanding brain function, and in modulating it through real-time fMRI neurofeedback (NF). Inspired by these advances, paired with the unique possibility of inducing the clinically relevant Presence Halluc ...

Type C hepatic encephalopathy (HE) is a severe neuropsychiatric complication of chronic liver disease, for which the prognosis is poor in the absence of liver transplantation. Cirrhosis in type C HE leads to a toxic accumulation of ammonia in the blood, wh ...

The brain is an ultra-soft viscoelastic matrix. Sub-kPa hydrogels match the brain's mechanical properties but are challenging to manipulate in an implantable format. We propose a simple fabrication and processing sequence, consisting of de-hydration, patte ...

The application of single particle inductively coupled plasma mass spectrometry (spICP-MS) for online metallic nanoparticles (NPs) characterization in ambient aerosol remains a challenge. In this study, a hyphenated setup consisting of a rotating disk dilu ...

The interface tailoring is crucial for the efficiency and stability of Perovskite Solar Cells (PSCs). The reported interface engineering primarily focuses on the energy level turning and trap state passivation to improve the photovoltaic performance of PSC ...

Studies on urban environmental quality are evolving emphasizing the need for policy response concerning the enactment of environmental regulations to attain sustainable development goals (SDGs), mainly target 13. Over the years, the concerns to improve urb ...

Magnetic resonance spectroscopy (MRS) is the only technique that can detect endogenous metabolites directly and non-invasively in vivo. It allows to identify different metabolites and analyze the dynamic neurochemical processes in the brain, skeletal muscl ...

The discovery that human brain connectivity data can be used as a "fingerprint " to identify a given individual from a population, has become a burgeoning research area in the neuroscience field. Recent studies have iden-tified the possibility to extract t ...

The hybrid Brain-Computer Interface: a bridge to assistive technology?

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Automated neuron tracking inside moving and deforming C. elegans using deep learning and targeted augmentation

Molecular reconstruction and simulation of the Neuron-Glia-Vasculature system

Brain-controlled spinal cord stimulation to restore mobility after spinal cord injury

Walking naturally after spinal cord injury using a brain-spine interface

Neuromodulation/neurostimulation system for mitigating locomotor deficits of parkinson's disease, spinal cord injury (sci), stroke and/or other neurological disorders

Closed-Loop Control of Epidural Electrical Stimulation in Patients with Spinal Cord Injury and Parkinson's Disease

Playing Brains: The Ethical Challenges Posed by Silicon Sentience and Hybrid Intelligence in DishBrain

Neuroengineering of hallucinations through fMRI neurofeedback: Understanding and modulating neural dynamics for the control of hallucinations in health and disease

New insights into rodent brain microstructure and metabolism in hepatic encephalopathy

Revealing the complexity of ultra-soft hydrogel re-swelling inside the brain

Rotating disk diluter hyphenated with single particle ICP-MS as an online dilution and sampling platform for metallic nanoparticles characterization in ambient aerosol

Efficient and Stable Perovskite Solar Cells by Tailoring of Interfaces

Determinants of urban environmental quality in Morocco: The roles of energy consumption, urbanization, manufacturing, and financial development in SDG 13

Robust gamma-aminobutyric acid and energy metabolism measurements by proton and phosphorus magnetic resonance spectroscopy and fingerprinting

Task matters: Individual MEG signatures from naturalistic and neurophysiological brain states