Brain-controlled neuromuscular stimulation to drive neural plasticity and functional recovery

Éthier, Christian; Gallego, Juan Álvaro; Miller, Lee E.

doi:10.1016/j.conb.2015.03.007

Cited by 70 publications

(60 citation statements)

References 69 publications

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“…Brain-computer interfaces (BCIs) are based on decoding algorithms that map neural activity onto control variables. This technology holds great promise to revolutionize rehabilitation and assistive technologies 56,57 . Several groups have used BCI decoders based on recorded neural activity to control computer cursors 58,59 , robots 60,61 , and even paralyzed limbs through muscle 62,63 or spinal cord stimulation 64 .…”

Section: Practical Implications For Braincomputer Interfacesmentioning

confidence: 99%

A stable, long-term cortical signature underlying consistent behavior

Gallego

Chowdhury²,

Solla³

et al. 2018

Preprint

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Animals readily execute learned motor behaviors in a consistent manner over long periods of time, yet similarly stable neural correlates remained elusive up to now. How does the cortex achieve this stable control? Using the sensorimotor system as a model of cortical processing, we investigated the hypothesis that the dynamics of neural latent activity, which capture the dominant co-variation patterns within the neural population, are preserved across time. We recorded from populations of neurons in premotor, primary motor, and somatosensory cortices for up to two years as monkeys performed a reaching task. Intriguingly, despite steady turnover in the recorded neurons, the low-dimensional latent dynamics remained stable. Such stability allowed reliable decoding of behavioral features for the entire timespan, while fixed decoders based on the recorded neural activity degraded substantially. We posit that latent cortical dynamics within the manifold are the fundamental and stable building blocks underlying consistent behavioral execution.

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Section: Practical Implications For Braincomputer Interfacesmentioning

confidence: 99%

A stable, long-term cortical signature underlying consistent behavior

Gallego

Chowdhury²,

Solla³

et al. 2018

Preprint

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“…These have been developed to bypass motor lesions (assistive BMIs) (Wolpaw and McFarland, 1994; Kennedy and Bakay, 1998; Leuthardt et al, 2004; Moritz et al, 2008; Ethier et al, 2012; Collinger et al, 2013; Memberg et al, 2014; Jarosiewicz et al, 2015; Bouton et al, 2016; Capogrosso et al, 2016; Hotson et al, 2016; Rajangam et al, 2016; Vansteensel et al, 2016; reviewed in Lobel and Lee, 2014) and, more recently, to facilitate neural plasticity and motor learning to enhance recovery after injury (rehabilitative BMIs) (Carhart et al, 2004; Buch et al, 2008; van den Brand et al, 2012; Ang et al, 2013; Ramos-Murguialday et al, 2013; Wahl et al, 2014; Gharabaghi et al, 2014a,b,c; Gerasimenko et al, 2015b; Donati et al, 2016; reviewed in Ethier et al, 2015; Jackson and Zimmermann, 2012). …”

Section: The Neurophysiology Underlying Brain-machine and Neural Intementioning

confidence: 99%

Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation

et al. 2016

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After an initial period of recovery, human neurological injury has long been thought to be static. In order to improve quality of life for those suffering from stroke, spinal cord injury, or traumatic brain injury, researchers have been working to restore the nervous system and reduce neurological deficits through a number of mechanisms. For example, neurobiologists have been identifying and manipulating components of the intra- and extracellular milieu to alter the regenerative potential of neurons, neuro-engineers have been producing brain-machine and neural interfaces that circumvent lesions to restore functionality, and neurorehabilitation experts have been developing new ways to revitalize the nervous system even in chronic disease. While each of these areas holds promise, their individual paths to clinical relevance remain difficult. Nonetheless, these methods are now able to synergistically enhance recovery of native motor function to levels which were previously believed to be impossible. Furthermore, such recovery can even persist after training, and for the first time there is evidence of functional axonal regrowth and rewiring in the central nervous system of animal models. To attain this type of regeneration, rehabilitation paradigms that pair cortically-based intent with activation of affected circuits and positive neurofeedback appear to be required—a phenomenon which raises new and far reaching questions about the underlying relationship between conscious action and neural repair. For this reason, we argue that multi-modal therapy will be necessary to facilitate a truly robust recovery, and that the success of investigational microscopic techniques may depend on their integration into macroscopic frameworks that include task-based neurorehabilitation. We further identify critical components of future neural repair strategies and explore the most updated knowledge, progress, and challenges in the fields of cellular neuronal repair, neural interfacing, and neurorehabilitation, all with the goal of better understanding neurological injury and how to improve recovery.

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“…BMIs seek to restore lost function to people with neurological motor injury or disease by decoding neural activity from the brain to drive a prosthesis device, such as a computer cursor on a screen or a robotic arm (Bensmaia and Miller 2014; Ethier, Gallego, and Miller 2015; Homer et al 2013; Kao et al 2014; Tsu et al 2015). To date, substantial progress has been made in intracortical BMIs in which movement intention is inferred from electrical recordings of neurons in PMd and M1, enabling recent phase I clinical trials for translating this technology to humans (Collinger et al 2013; Gilja et al 2015; Hochberg et al 2006; Hochberg et al 2012; Wodlinger et al 2015).…”

Section: Insights From Optical Methods For Brain-machine Interface Dementioning

confidence: 99%

The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces

O’Shea

Trautmann

Chandrasekaran

et al. 2017

Experimental Neurology

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A central goal of neuroscience is to understand how populations of neurons coordinate and cooperate in order to give rise to perception, cognition, and action. Nonhuman primates (NHPs) are an attractive model with which to understand these mechanisms in humans, primarily due to the strong homology of their brains and the cognitively sophisticated behaviors they can be trained to perform. Using electrode recordings, the activity of one to a few hundred individual neurons may be measured electrically, which has enabled many scientific findings and the development of brain-machine interfaces. Despite these successes, electrophysiology samples sparsely from neural populations and provide little information about the genetic identity and spatial micro-organization of recorded neurons. These limitations have spurred the development of all-optical methods for neural circuit interrogation. Fluorescent calcium signals serve as a reporter of neuronal responses, and when combined with post-mortem optical clearing techniques such as CLARITY, provide dense recordings of neuronal populations, spatially organized and annotated with genetic and anatomical information. Here, we exhort that this methodology, which has been of tremendous utility in smaller animal models, can and should be designed and developed for use with NHPs. We review here several of the key opportunities and challenges for calcium-based optical imaging in NHPs. We focus on motor neuroscience and brain-machine interface design as representative domains of opportunity within the larger field of NHP neuroscience.

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Brain-controlled neuromuscular stimulation to drive neural plasticity and functional recovery

Cited by 70 publications

References 69 publications

A stable, long-term cortical signature underlying consistent behavior

A stable, long-term cortical signature underlying consistent behavior

Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation

The need for calcium imaging in nonhuman primates: New motor neuroscience and brain-machine interfaces

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