A major challenge in the field of neural interfaces is to overcome problem poor stability neuronal recordings, which impedes long-term studies individual neurons brain. Conceivably, unstable recordings reflect relative movements between electrode and tissue. To address this challenge, we have developed a new ultra-flexible array evaluated its performance awake non-restrained animals. Methods An eight separated gold leads (4 x10 μm), individually flexible 3D, were cut from sheet using laser...

Neural interfaces which allow long-term recordings in deep brain structures awake freely moving animals have the potential of becoming highly valuable tools neuroscience. However, recording quality usually deteriorates over time, probably at least partly due to tissue reactions caused by injuries during implantation, and subsequently micro-forces a lack mechanical compliance between neural interface. To address this challenge, we developed gelatin embedded interface comprising flexible...

The lack of satisfactory treatment for persistent pain profoundly impairs the quality life many patients. Stimulation brainstem control systems can trigger powerful analgesia, but their complex network organization frequently prevents separation analgesia from side effects. To overcome this long-standing challenge, we developed a biocompatible gelatin-embedded cluster ultrathin microelectrodes that enables fine-tuned, high-definition three-dimensional stimulation in periaqueductal...

Reduction of insertion injury is likely important to approach physiological conditions in the vicinity implanted devices intended interface with surrounding brain.We have developed a novel, low-friction coating around frozen, gelatin embedded needles. By introducing layer thawing ice onto gelatin, decreasing surface friction, we mitigate damage caused by implantation.The acute effects transient stab on neuronal density and glial reactions were assessed 1 7 days post rat cortex striatum both...

A well defined set of design criteria is great importance in the process designing brain machine interfaces (BMI) based on extracellular recordings with chronically implanted micro-electrode arrays central nervous system (CNS). In order to compare algorithms and evaluate their performance under various circumstances, ground truth about input needs be present. Obtaining from real data would require optimal used, given that those exist. This not possible since it relies very are evaluated....

Deep Brain Stimulation (DBS) is an established treatment for motor symptoms in Parkinson's disease (PD). However, side effects often limit the usefulness of treatment.To mitigate this problem, we developed a novel cluster ultrathin platinum-iridium microelectrodes (n = 16) embedded needle shaped gelatin vehicle. In rodent PD-model (6-OHDA unilateral lesion), clusters were implanted subthalamic area up to 8 weeks. open field setting, combinations yielding therapeutic identified using...

Brain-machine interfaces (BMIs) may be used to investigate neural mechanisms or treat the symptoms of neurological disease and are hence powerful tools in research clinical practice. Wireless BMIs add flexibility both types applications by reducing movement restrictions risks associated with transcutaneous leads. However, since wireless implementations typically limited terms transmission capacity energy resources, major challenge faced their designers is combine high performance adaptations...

Brain machine interfaces with chronically implanted microelectrode arrays for signal acquisition require algorithms successful detection and classification of neural spikes. During the design such algorithms, signals a priori known characteristics need to be present. A common way establish is model recording environment, simulate recordings store ground truth about spiking activity later comparison. In this paper, we present statistical method expand spike libraries that are used in...

Brain-machine interfaces (BMIs) based on extracellular recordings with microelectrodes provide means of observing the activities neurons that orchestrate fundamental brain function, and are therefore powerful tools for exploring function brain. Due to physical restrictions risks post-surgical complications, wired BMIs not suitable long-term studies in freely behaving animals. Wireless ideally solve these problems, but they call low-complexity techniques data compression ensure maximum...

Objectives.To clarify if an adaptive current stimulation protocol, in which amplitude is modulated during continuous stimulation, provides better efficacy than constant protocol with respect to analgesia caused by individualized rat periaqueductal gray matter (PAG) /dorsal raphe nuclei (DRN).Approach.Ultrathin microelectrodes adapted for recording (n= 6) and 16) were implanted primary somatosensory cortex PAG/DRN, respectively. In each animal included 12), a subset of PAG/DRN 1-3 per animal)...

Detecting and sorting spikes in extracellular neural recordings are common procedures assessing the activity of individual neurons. In chronic recordings, passive electrode movements introduce changes shape detected spike waveforms, may thus lead to problems with identification tracking recorded at separate instances time, which is an important step long-term monitoring Information about after implantation crucial evaluation mechanical stability different designs. this paper, we present a...

Abstract Chronic pain is still a considerable challenge with major social and economic consequences analgesic treatments are often insufficient accompanied by adverse side effects. To address this problem, we recently developed microelectrode-based technology for high-definition brain stimulation (HDBS) that when applied in the periaqueductal grey (PAG) matter dorsal raphe nuclei (DRN) enabled strong analgesia without noticeable effects awake freely moving rodents. clarify which aspects of...

With an ever increasing need for assessment of neurophysiological activity in connection with injury and basic research, the demand efficient reliable data acquisition system rises. Brain-machine interfaces is one class such systems that targets central nervous system. A necessary step development a brain-machine interface to design implement measurement signals. The use telemetric devices increases flexibility terms subject mobility unobtrusiveness equipment. In this paper, we present...