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https://www.readbyqxmd.com/read/28444371/neural-correlates-of-both-perception-and-memory-for-objects-in-the-rodent-perirhinal-cortex
#1
Jae-Rong Ahn, Inah Lee
Despite its anatomical positioning as an interface between the perceptual and memory systems, the perirhinal cortex (PER) has long been considered dedicated for object recognition memory. Whether the PER is also involved in object perception has been intensely debated in recent studies, but physiological evidence has been lacking. We recorded single units from the PER while the rat made categorical responses immediately after sampling a visual object as the originally learned objects were ambiguously morphed to varying degrees...
April 24, 2017: Cerebral Cortex
https://www.readbyqxmd.com/read/28438166/adjacent-regenerative-peripheral-nerve-interfaces-produce-phase-antagonist-signals-during-voluntary-walking-in-rats
#2
Daniel Ursu, Andrej Nedic, Melanie Urbanchek, Paul Cederna, R Brent Gillespie
BACKGROUND: Regenerative Peripheral Nerve Interfaces (RPNIs) are neurotized muscle grafts intended to produce electromyographic signals suitable for motorized prosthesis control. Two RPNIs producing independent agonist/antagonist signals are required for each control axis; however, it is unknown whether signals from adjacent RPNIs are independent. The purpose of this work was to determine signaling characteristics from two adjacent RPNIs, the first neurotized by a foot dorsi-flexor nerve and the second neurotized by a foot plantar-flexor nerve in a rodent model...
April 24, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28427290/a-real-time-method-for-decoding-the-neural-drive-to-muscles-using-single-channel-intra-muscular-emg-recordings
#3
Saeed Karimimehr, Hamid Reza Marateb, Silvia Muceli, Marjan Mansourian, Miguel Angel Mañanas, Dario Farina
The neural command from motor neurons to muscles - sometimes referred to as the neural drive to muscle - can be identified by decomposition of electromyographic (EMG) signals. This approach can be used for inferring the voluntary commands in neural interfaces in patients with limb amputations. This paper proposes for the first time an innovative method for fully automatic and real-time intramuscular EMG (iEMG) decomposition. The method is based on online single-pass density-based clustering and adaptive classification of bivariate features, using the concept of potential measure...
March 20, 2017: International Journal of Neural Systems
https://www.readbyqxmd.com/read/28422663/a-neural-probe-with-up-to-966-electrodes-and-up-to-384-configurable-channels-in-0-13-%C3%AE-m-soi-cmos
#4
Carolina Mora Lopez, Jan Putzeys, Bogdan Cristian Raducanu, Marco Ballini, Shiwei Wang, Alexandru Andrei, Veronique Rochus, Roeland Vandebriel, Simone Severi, Chris Van Hoof, Silke Musa, Nick Van Helleputte, Refet Firat Yazicioglu, Srinjoy Mitra
In vivo recording of neural action-potential and local-field-potential signals requires the use of high-resolution penetrating probes. Several international initiatives to better understand the brain are driving technology efforts towards maximizing the number of recording sites while minimizing the neural probe dimensions. We designed and fabricated (0.13- μm SOI Al CMOS) a 384-channel configurable neural probe for large-scale in vivo recording of neural signals. Up to 966 selectable active electrodes were integrated along an implantable shank (70 μm wide, 10 mm long, 20  μm thick), achieving a crosstalk of [Formula: see text] dB...
April 14, 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28420954/multiple-kernel-based-region-importance-learning-for-neural-classification-of-gait-states-from-eeg-signals
#5
Yuhang Zhang, Saurabh Prasad, Atilla Kilicarslan, Jose L Contreras-Vidal
With the development of Brain Machine Interface (BMI) systems, people with motor disabilities are able to control external devices to help them restore movement abilities. Longitudinal validation of these systems is critical not only to assess long-term performance reliability but also to investigate adaptations in electrocortical patterns due to learning to use the BMI system. In this paper, we decode the patterns of user's intended gait states (e.g., stop, walk, turn left, and turn right) from scalp electroencephalography (EEG) signals and simultaneously learn the relative importance of different brain areas by using the multiple kernel learning (MKL) algorithm...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28417848/dynamic-range-adaptation-in-primary-motor-cortical-populations
#6
Robert G Rasmussen, Andrew Schwartz, Steven M Chase
Neural populations from various sensory regions demonstrate dynamic range adaptation in response to changes in the statistical distribution of their input stimuli. These adaptations help optimize the transmission of information about sensory inputs. Here, we show a similar effect in the firing rates of primary motor cortical cells. We trained monkeys to operate a brain-computer interface in both two- and three-dimensional virtual environments. We found that neurons in primary motor cortex exhibited a change in the amplitude of their directional tuning curves between the two tasks...
April 18, 2017: ELife
https://www.readbyqxmd.com/read/28412441/noise-robust-cortical-tracking-of-attended-speech-in-real-world-acoustic-scenes
#7
Søren Asp Fuglsang, Torsten Dau, Jens Hjortkjær
Selectively attending to one speaker in a multi-speaker scenario is thought to synchronize low-frequency cortical activity to the attended speech signal. In recent studies, reconstruction of speech from single-trial electroencephalogram (EEG) data has been used to decode which talker a listener is attending to in a two-talker situation. It is currently unclear how this generalizes to more complex sound environments. Behaviorally, speech perception is robust to the acoustic distortions that listeners typically encounter in everyday life, but it is unknown whether this is mirrored by a noise-robust neural tracking of attended speech...
April 12, 2017: NeuroImage
https://www.readbyqxmd.com/read/28409730/chronic-multisite-brain-recordings-from-a-totally-implantable-bidirectional-neural-interface-experience-in-5-patients-with-parkinson-s-disease
#8
Nicole C Swann, Coralie de Hemptinne, Svjetlana Miocinovic, Salman Qasim, Jill L Ostrem, Nicholas B Galifianakis, Marta San Luciano, Sarah S Wang, Nathan Ziman, Robin Taylor, Philip A Starr
OBJECTIVE Dysfunction of distributed neural networks underlies many brain disorders. The development of neuromodulation therapies depends on a better understanding of these networks. Invasive human brain recordings have a favorable temporal and spatial resolution for the analysis of network phenomena but have generally been limited to acute intraoperative recording or short-term recording through temporarily externalized leads. Here, the authors describe their initial experience with an investigational, first-generation, totally implantable, bidirectional neural interface that allows both continuous therapeutic stimulation and recording of field potentials at multiple sites in a neural network...
April 14, 2017: Journal of Neurosurgery
https://www.readbyqxmd.com/read/28384122/deciphering-neuronal-population-codes-for-acute-thermal-pain
#9
Zhe Chen, Qiaosheng Zhang, Ai Phuong Sieu Tong, Toby R Manders, Jing Wang
OBJECTIVE: Pain is defined as an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage. Current pain research mostly focuses on molecular and synaptic changes at the spinal and peripheral levels. However, a complete understanding of pain mechanisms requires the physiological study of the neocortex. Our goal is to apply a neural decoding approach to read out the onset of acute thermal pain signals, which can be used for brain-machine interface...
April 6, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28383278/effect-of-graphene-on-nonneuronal-and-neuronal-cell-viability-and-stress
#10
Sahil Kumar Rastogi, Guruprasad Raghavan, Ge Yang, Tzahi Cohen-Karni
In recent years graphene has drawn considerable research interest for biomedical applications. However, applications of graphene in biological systems also raise concerns about its possible toxicity. Here, by using live cell imaging techniques, we investigate the effect of pristine graphene on the viability as well as stress of both nonneuronal and neuronal cells under physiological conditions. We find that graphene promotes cell adhesion and proliferation. Furthermore, we find that graphene has no detectable adverse effect on mitochondrial membrane potential and morphology, or autophagy levels in the cell, indicating that graphene does not induce cell stress...
April 10, 2017: Nano Letters
https://www.readbyqxmd.com/read/28375650/emerging-frontiers-of-neuroengineering-a-network-science-of-brain-connectivity
#11
Danielle S Bassett, Ankit N Khambhati, Scott T Grafton
Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems that are composed of many interacting parts. These interactions form intricate patterns over large spatiotemporal scales and produce emergent behaviors that are difficult to predict from individual elements. Network science provides a particularly appropriate framework in which to study and intervene in such systems by treating neural elements (cells, volumes) as nodes in a graph and neural interactions (synapses, white matter tracts) as edges in that graph...
March 27, 2017: Annual Review of Biomedical Engineering
https://www.readbyqxmd.com/read/28367834/electroencephalographic-identifiers-of-motor-adaptation-learning
#12
Ozan Ozdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Mujdat Cetin
OBJECTIVE: Recent brain-computer interface (BCI) assisted stroke rehabilitation protocols tend to focus on sensorimotor activity of the brain. Relying on evidence claiming that a variety of brain rhythms beyond sensorimotor areas are related to the extent of motor deficits, we propose to identify neural correlates of motor learning beyond sensorimotor areas spatially and spectrally for further use in novel BCI-assisted neurorehabilitation settings. APPROACH: Electroencephalographic (EEG) data were recorded from healthy subjects participating in a physical force-field adaptation task involving reaching movements through a robotic handle...
April 3, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28363483/restoration-of-reaching-and-grasping-movements-through-brain-controlled-muscle-stimulation-in-a-person-with-tetraplegia-a-proof-of-concept-demonstration
#13
A Bolu Ajiboye, Francis R Willett, Daniel R Young, William D Memberg, Brian A Murphy, Jonathan P Miller, Benjamin L Walter, Jennifer A Sweet, Harry A Hoyen, Michael W Keith, P Hunter Peckham, John D Simeral, John P Donoghue, Leigh R Hochberg, Robert F Kirsch
BACKGROUND: People with chronic tetraplegia, due to high-cervical spinal cord injury, can regain limb movements through coordinated electrical stimulation of peripheral muscles and nerves, known as functional electrical stimulation (FES). Users typically command FES systems through other preserved, but unrelated and limited in number, volitional movements (eg, facial muscle activity, head movements, shoulder shrugs). We report the findings of an individual with traumatic high-cervical spinal cord injury who coordinated reaching and grasping movements using his own paralysed arm and hand, reanimated through implanted FES, and commanded using his own cortical signals through an intracortical brain-computer interface (iBCI)...
March 28, 2017: Lancet
https://www.readbyqxmd.com/read/28362877/arachne-a-neural-neuroglial-network-builder-with-remotely-controlled-parallel-computing
#14
Sergey G Aleksin, Kaiyu Zheng, Dmitri A Rusakov, Leonid P Savtchenko
Creating and running realistic models of neural networks has hitherto been a task for computing professionals rather than experimental neuroscientists. This is mainly because such networks usually engage substantial computational resources, the handling of which requires specific programing skills. Here we put forward a newly developed simulation environment ARACHNE: it enables an investigator to build and explore cellular networks of arbitrary biophysical and architectural complexity using the logic of NEURON and a simple interface on a local computer or a mobile device...
March 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28360094/identification-and-structure-function-study-of-positive-allosteric-modulators-of-kainate-receptors
#15
Anja Probst Larsen, Sabine Fievre, Karla Frydenvang, Pierre Francotte, Bernard Pirotte, Jette Sandholm Karstrup, Christophe Mulle
Kainate receptors (KARs) consist of a class of ionotropic glutamate receptors, which exert diverse pre- and postsynaptic functions through complex signaling regulating the activity of neural circuits. Whereas numerous small-molecule positive allosteric modulators of the ligand-binding domain of AMPA receptors have been reported, no such ligands are available for KARs. In this study, we have investigated the ability of three benzothiadiazine-based modulators to potentiate glutamate-evoked currents at recombinantly expressed KARs...
March 30, 2017: Molecular Pharmacology
https://www.readbyqxmd.com/read/28359858/surface-immobilized-antibody-orientation-determined-using-tof-sims-and-multivariate-analysis
#16
Nicholas G Welch, Robert M T Madiona, Thomas B Payten, Christopher D Easton, Luisa Pontes-Braz, Narelle Brack, Judith A Scoble, Benjamin W Muir, Paul J Pigram
Antibody orientation at solid phase interfaces plays a critical role in the sensitive detection of biomolecules during immunoassays. Correctly oriented antibodies with solution-facing antigen binding regions have improved antigen capture as compared to their randomly oriented counterparts. Direct characterization of oriented proteins with surface analysis methods still remains a challenge however surface sensitive techniques such as Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) provide information-rich data that can be used to probe antibody orientation...
March 27, 2017: Acta Biomaterialia
https://www.readbyqxmd.com/read/28356474/functional-remodeling-of-subtype-specific-markers-surrounding-implanted-neuroprostheses
#17
Joseph William Salatino, Bailey M Winter, Matthew H Drazin, Erin K Purcell
Microelectrode arrays implanted in the brain are increasingly used for the research and treatment of intractable neurological disease. However, local neuronal loss and glial encapsulation are known to interfere with effective integration and communication between implanted devices and brain tissue, where these observations are typically based on assessments of broad neuronal and astroglial markers. However, both neurons and astrocytes comprise heterogeneous cellular populations that can be further divided into subclasses based on unique functional and morphological characteristics...
March 29, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28348511/constraints-and-adaptation-of-closed-loop-neuroprosthetics-for-functional-restoration
#18
Robert Bauer, Alireza Gharabaghi
Closed-loop neuroprosthetics aim to compensate for lost function, e.g., by controlling external devices such as prostheses or wheelchairs. Such assistive approaches seek to maximize speed and classification accuracy for high-dimensional control. More recent approaches use similar technology, but aim to restore lost motor function in the long term. To achieve this goal, restorative neuroprosthetics attempt to facilitate motor re-learning and to strengthen damaged and/or alternative neural connections on the basis of neurofeedback training within rehabilitative environments...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28346437/friction-forces-position-the-neural-anlage
#19
Michael Smutny, Zsuzsa Ákos, Silvia Grigolon, Shayan Shamipour, Verena Ruprecht, Daniel Čapek, Martin Behrndt, Ekaterina Papusheva, Masazumi Tada, Björn Hof, Tamás Vicsek, Guillaume Salbreux, Carl-Philipp Heisenberg
During embryonic development, mechanical forces are essential for cellular rearrangements driving tissue morphogenesis. Here, we show that in the early zebrafish embryo, friction forces are generated at the interface between anterior axial mesoderm (prechordal plate, ppl) progenitors migrating towards the animal pole and neurectoderm progenitors moving in the opposite direction towards the vegetal pole of the embryo. These friction forces lead to global rearrangement of cells within the neurectoderm and determine the position of the neural anlage...
March 27, 2017: Nature Cell Biology
https://www.readbyqxmd.com/read/28345534/electron-transfer-processes-occurring-on-platinum-neural-stimulating-electrodes-calculated-charge-storage-capacities-are-inaccessible-during-applied-stimulation
#20
Eric M Hudak, Doe Kumsa, Heidi Martin, J Mortimer
<i>Objective.</i> Neural prostheses employing platinum electrodes are often constrained by a charge/charge-density parameter known as the Shannon limit. In examining the relationship between charge injection and observed tissue damage, the electrochemistry at the electrode-tissue interface should be considered. The charge-storage capacity (CSC) is often used as a predictor of how much charge an electrode can inject during stimulation, but calculating charge from a steady-state i-E curve (cyclic voltammogram) over the water window misrepresents how electrodes operate during stimulation...
March 27, 2017: Journal of Neural Engineering
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