Editorial: Innovative Technologies and Clinical Applications for Invasive and Non-invasive Neuromodulation: From the Workbench to the Bedside.

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Bologna, M; Merola, A; Ricciardi, L (2020) Editorial: Innovative Technologies and Clinical Applications for Invasive and Non-invasive Neuromodulation: From the Workbench to the Bedside. Front Neurol, 10. p. 1350. ISSN 1664-2295 https://doi.org/10.3389/fneur.2019.01350
SGUL Authors: Ricciardi, Lucia

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Item Type:

Article

Additional Information:

Copyright © 2020 Bologna, Merola and Ricciardi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Keywords:

Non-invasive focal mechanical vibrations (NIFMV), Parkinson's disease (PD), deep brain stimulation (DBS), spinal cord stimulation (SCS), transcranial magnetic stimulation (TMS), transcranial ultrasound stimulation (tUS), deep brain stimulation (DBS), Non-invasive focal mechanical vibrations (NIFMV), Parkinson's disease (PD), spinal cord stimulation (SCS), transcranial magnetic stimulation (TMS), transcranial ultrasound stimulation (tUS), 1109 Neurosciences, 1103 Clinical Sciences, 1701 Psychology

SGUL Research Institute / Research Centre:

Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)

Journal or Publication Title:

Front Neurol

ISSN:

1664-2295

Language:

eng

Dates:

Date	Event
10 January 2020	Published
9 December 2019	Accepted

Publisher License:

Creative Commons: Attribution 4.0

Projects:

Project ID	Funder	Funder ID
KL2 TR001426	National Institutes of Health	http://dx.doi.org/10.13039/100000002
UNSPECIFIED	Medical Research Council	http://dx.doi.org/10.13039/501100000265

PubMed ID:

31998215

Web of Science ID:

WOS:000509279400001