Abstract

Aberrant neural oscillations hallmark numerous brain disorders. Here, we first report a method to track the phase of neural oscillations in real-time via endpoint-corrected Hilbert transform (ecHT) that mitigates the characteristic Gibbs distortion. We then used ecHT to show that the aberrant neural oscillation that hallmarks essential tremor (ET) syndrome, the most common adult movement disorder, can be transiently suppressed via transcranial electrical stimulation of the cerebellum phase-locked to the tremor. The tremor suppression is sustained shortly after the end of the stimulation and can be phenomenologically predicted. Finally, we use feature-based statistical-learning and neurophysiological-modelling to show that the suppression of ET is mechanistically attributed to a disruption of the temporal coherence of the aberrant oscillations in the olivocerebellar loop, thus establishing its causal role. The suppression of aberrant neural oscillation via phase-locked driven disruption of temporal coherence may in the future represent a powerful neuromodulatory strategy to treat brain disorders.

Aberrant synchronous oscillations have been associated with numerous brain disorders, including essential tremor. The authors show that synchronous cerebellar activity can casually affect essential tremor and that its underlying mechanism may be related to the temporal coherence of the tremulous movement.

Details

Title
Non-invasive suppression of essential tremor via phase-locked disruption of its temporal coherence
Author
Schreglmann, Sebastian R 1   VIAFID ORCID Logo  ; Wang, David 2 ; Peach, Robert L 3   VIAFID ORCID Logo  ; Li Junheng 4   VIAFID ORCID Logo  ; Zhang, Xu 5   VIAFID ORCID Logo  ; Latorre, Anna 1 ; Rhodes, Edward 4   VIAFID ORCID Logo  ; Panella Emanuele 6 ; Cassara, Antonino M 7   VIAFID ORCID Logo  ; Boyden, Edward S 8 ; Barahona Mauricio 9   VIAFID ORCID Logo  ; Santaniello Sabato 5   VIAFID ORCID Logo  ; Rothwell, John 1   VIAFID ORCID Logo  ; Bhatia, Kailash P 1   VIAFID ORCID Logo  ; Grossman, Nir 10 

 Queen Square, University College London (UCL), Institute of Neurology, Department of Clinical and Movement Neuroscience, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201) 
 Massachussetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); NuVu studio Inc, Cambridge, USA (GRID:grid.116068.8) 
 Imperial College London, Department of Mathematics and EPSRC Centre for Mathematics of Precision Healthcare, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); Imperial College London, Department of Brain Sciences, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); UK Dementia Research Institute (UK DRI) at Imperial College London, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 Imperial College London, Department of Brain Sciences, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); UK Dementia Research Institute (UK DRI) at Imperial College London, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 University of Connecticut, Biomedical Engineering Department, Storrs, USA (GRID:grid.63054.34) (ISNI:0000 0001 0860 4915); University of Connecticut, CT Institute for the Brain and Cognitive Sciences, Storrs, USA (GRID:grid.63054.34) (ISNI:0000 0001 0860 4915) 
 Imperial College London, Department of Physics, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
 IT’IS Foundation for Research on Information Technologies in Society, Zurich, Switzerland (GRID:grid.443853.d) 
 MIT, Department of Media Arts and Sciences, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); McGovern Institute for Brain Research, MIT, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); Howard Hughes Medical Institute, Cambridge, USA (GRID:grid.413575.1) (ISNI:0000 0001 2167 1581); MIT, Department of Biological Engineering, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); MIT, Department of Brain and Cognitive Sciences, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); MIT, Centre for Neurobiological Engineering, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); Koch Institute for Integrative Cancer Research, MIT, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786) 
 Imperial College London, Department of Mathematics and EPSRC Centre for Mathematics of Precision Healthcare, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
10  Imperial College London, Department of Brain Sciences, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); UK Dementia Research Institute (UK DRI) at Imperial College London, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); MIT, Department of Media Arts and Sciences, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); McGovern Institute for Brain Research, MIT, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786); Imperial College London, Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); Imperial College London, Centre for Neurotechnology, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2477376967
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.