Literature DB >> 26291448

Long-term stability of sensitivity to intracortical microstimulation of somatosensory cortex.

Thierri Callier1, Erik W Schluter, Gregg A Tabot, Lee E Miller, Francesco V Tenore, Sliman J Bensmaia.   

Abstract

OBJECTIVE: The dexterous manipulation of objects depends heavily on somatosensory signals from the limb. The development of anthropomorphic robotic arms and of algorithms to decode intended movements from neuronal signals has stimulated the need to restore somatosensation for use in upper-limb neuroprostheses. Without touch and proprioception, patients have difficulty controlling prosthetic limbs to a level that justifies the required invasive surgery. Intracortical microstimulation (ICMS) through chronically implanted electrode arrays has the potential to provide rich and intuitive sensory feedback. This approach to sensory restoration requires, however, that the evoked sensations remain stable over time. APPROACH: To investigate the stability of ICMS-evoked sensations, we measured the ability of non-human primates to detect ICMS over experimental sessions that spanned years. MAIN
RESULTS: We found that the performance of the animals remained highly stable over time, even when they were tested with electrodes that had experienced extensive stimulation. SIGNIFICANCE: Given the stability of the sensations that it evokes, ICMS may thus be a viable approach for sensory restoration.

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Year:  2015        PMID: 26291448     DOI: 10.1088/1741-2560/12/5/056010

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  16 in total

1.  Neural Coding of Contact Events in Somatosensory Cortex.

Authors:  Thierri Callier; Aneesha K Suresh; Sliman J Bensmaia
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

2.  Sensory percepts induced by microwire array and DBS microstimulation in human sensory thalamus.

Authors:  Brandon D Swan; Lynne B Gasperson; Max O Krucoff; Warren M Grill; Dennis A Turner
Journal:  Brain Stimul       Date:  2017-10-27       Impact factor: 8.955

3.  Maximizing Charge Injection Limits of Iridium Oxide Electrodes with a Programmable Anodic Bias Circuit.

Authors:  Alpaslan Ersöz; Insoo Kim; Martin Han
Journal:  Int IEEE EMBS Conf Neural Eng       Date:  2021-06-02

4.  The Long-Term Stability of Intracortical Microstimulation and the Foreign Body Response Are Layer Dependent.

Authors:  Morgan E Urdaneta; Nicolas G Kunigk; Seth Currlin; Francisco Delgado; Shelley I Fried; Kevin J Otto
Journal:  Front Neurosci       Date:  2022-06-13       Impact factor: 5.152

5.  Long-term recording reliability of liquid crystal polymer µECoG arrays.

Authors:  Virginia Woods; Michael Trumpis; Brinnae Bent; Kay Palopoli-Trojani; Chia-Han Chiang; Charles Wang; Chunxiu Yu; Michele N Insanally; Robert C Froemke; Jonathan Viventi
Journal:  J Neural Eng       Date:  2018-09-24       Impact factor: 5.379

6.  The effects of chronic intracortical microstimulation on neural tissue and fine motor behavior.

Authors:  Alexander T Rajan; Jessica L Boback; John F Dammann; Francesco V Tenore; Brock A Wester; Kevin J Otto; Robert A Gaunt; Sliman J Bensmaia
Journal:  J Neural Eng       Date:  2015-10-19       Impact factor: 5.379

7.  Comparative Performance of Linear Multielectrode Probes and Single-Tip Electrodes for Intracortical Microstimulation and Single-Neuron Recording in Macaque Monkey.

Authors:  Carolina G Ferroni; Monica Maranesi; Alessandro Livi; Marco Lanzilotto; Luca Bonini
Journal:  Front Syst Neurosci       Date:  2017-11-15

8.  Electrical Microstimulation of Visual Cerebral Cortex Elevates Psychophysical Detection Thresholds.

Authors:  Jackson J Cone; Amy M Ni; Kaushik Ghose; John H R Maunsell
Journal:  eNeuro       Date:  2018-10-30

9.  Neural stimulation and recording performance in human sensorimotor cortex over 1500 days.

Authors:  Christopher L Hughes; Sharlene N Flesher; Jeffrey M Weiss; John E Downey; Michael Boninger; Jennifer L Collinger; Robert A Gaunt
Journal:  J Neural Eng       Date:  2021-08-13       Impact factor: 5.043

10.  Invasive vs. Non-Invasive Neuronal Signals for Brain-Machine Interfaces: Will One Prevail?

Authors:  Stephan Waldert
Journal:  Front Neurosci       Date:  2016-06-27       Impact factor: 4.677

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