A Battery-Powered Activity-Dependent Intracortical Microstimulation IC for Brain-Machine-Brain Interface

Azin, Meysam; Guggenmos, David J.; Barbay, Scott; Nudo, Randolph J.; Mohseni, Pedram

doi:10.1109/jssc.2011.2108770

Cited by 158 publications

(88 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Linear contrasts of model estimates were used to test for treatment group differences on postlesion days 3,5,8,14,21, and 28 using F tests, with day 28 serving as the a priori time point of interest for the comparison of ADS vs. OLS. Other pairwise comparisons at each time point were also tested (SI Materials and Methods, Protocol Deviations).…”

Section: Methodsmentioning

confidence: 99%

“…1 B and C). To this end, a microdevice was developed with the ability to deliver activity-dependent stimulation (ADS) through recording and digitizing extracellular neural activity from an implanted microelectrode, discriminating individual action potentials (spikes), and delivering small amounts of electrical current to another microelectrode implanted in a distant population of neurons (13,14). This closed-loop system was similar, in principle, to the "Neurochip" used previously by other investigators to demonstrate the effects of local ADS in intact animals (15), but it was miniaturized for head-mounted, wireless operation ( Fig.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Restoration of function after brain damage using a neural prosthesis

Guggenmos

Azin

Barbay

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

199

182

View full text Add to dashboard Cite

Neural interface systems are becoming increasingly more feasible for brain repair strategies. This paper tests the hypothesis that recovery after brain injury can be facilitated by a neural prosthesis serving as a communication link between distant locations in the cerebral cortex. The primary motor area in the cerebral cortex was injured in a rat model of focal brain injury, disrupting communication between motor and somatosensory areas and resulting in impaired reaching and grasping abilities. After implantation of microelectrodes in cerebral cortex, a neural prosthesis discriminated action potentials (spikes) in premotor cortex that triggered electrical stimulation in somatosensory cortex continuously over subsequent weeks. Within 1 wk, while receiving spike-triggered stimulation, rats showed substantially improved reaching and grasping functions that were indistinguishable from prelesion levels by 2 wk. Post hoc analysis of the spikes evoked by the stimulation provides compelling evidence that the neural prosthesis enhanced functional connectivity between the two target areas. This proofof-concept study demonstrates that neural interface systems can be used effectively to bridge damaged neural pathways functionally and promote recovery after brain injury.brain-machine-brain interface | neural plasticity | traumatic brain injury | closed-loop | long-term potentiation T he view of the brain as a collection of independent anatomical modules, each with discrete functions, is currently undergoing radical change. New evidence from neurophysiological and neuroanatomical experiments in animals, as well as neuroimaging studies in humans, now suggests that normal brain function can be best appreciated in the context of the complex arrangements of functional and structural interconnections among brain areas. Although mechanistic details are still under refinement, synchronous discharge of neurons in widespread areas of the cerebral cortex appears to be an emergent property of neuronal networks that functionally couple remote locations (1). It is now recognized that not only are discrete regions of the brain damaged in injury or disease but, perhaps more importantly, the interconnections among uninjured areas are disrupted, potentially leading to many of the functional impairments that persist after brain injury (2). Likewise, plasticity of brain interconnections may partially underlie recovery of function after injury (3).Technological efforts to restore brain function after injury have focused primarily on modulating the excitability of focal regions in uninjured parts of the brain (4). Purportedly, increasing the excitability of neurons involved in adaptive plasticity expands the neural substrate potentially involved in functional recovery. However, no methods are yet available to alter the functional connectivity between spared brain regions directly, with the intent to restore normal communication patterns. The present paper tests the hypothesis that an artificial communication link between uninjured regions of the...

show abstract

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Restoration of function after brain damage using a neural prosthesis

Guggenmos

Azin

Barbay

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

199

182

View full text Add to dashboard Cite

show abstract

“…Where, Vb is the bootstrapping voltage, driven by the buffered output Vout via a capacitor Cb, written as equation (2). As given in Fig.…”

Section: A Overview Of Circuit Designmentioning

confidence: 99%

“…HE Front-End Amplifier (FEA) is a key element for signal detection within neural activity monitoring systems [1], [2]. Growing interest in the field of neuroscience has accelerated research into such systems.…”

Section: Introduction and Current Techniquesmentioning

confidence: 99%

A High Input Impedance Low Noise Integrated Front-End Amplifier for Neural Monitoring

Zhou

Warr

2016

IEEE Trans. Biomed. Circuits Syst.

View full text Add to dashboard Cite

“…Table V compares the performance of our design with some designs in the literature that achieve low power consumption and small area per channel. The design in [14], [29] includes both recording and stimulation features while the design in [27] also included digital signal processing (DSP) and an ultra-wide-band (UWB) transmitter. In Table V, only the recording features that include signal amplification and digitization are compared.…”

Section: Wireless In Vivo Testing Of the Neural-recording Chip In mentioning

confidence: 99%

A Low-Power 32-Channel Digitally Programmable Neural Recording Integrated Circuit

Wattanapanitch

Sarpeshkar

2011

IEEE Trans. Biomed. Circuits Syst.

132

View full text Add to dashboard Cite

show abstract

A Battery-Powered Activity-Dependent Intracortical Microstimulation IC for Brain-Machine-Brain Interface

Cited by 158 publications

References 43 publications

Restoration of function after brain damage using a neural prosthesis

Restoration of function after brain damage using a neural prosthesis

A High Input Impedance Low Noise Integrated Front-End Amplifier for Neural Monitoring

A Low-Power 32-Channel Digitally Programmable Neural Recording Integrated Circuit

Contact Info

Product

Resources

About