Imperial College London
Alternate

DrInesRibeiro Violante

Faculty of Medicine, Department of Brain Sciences

Honorary Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 7994i.violante

 
 
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Location

 

Burlington DanesHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Soleimani:2022:osf.io/mxy85,
author = {Soleimani, G and Nitsche, MA and Bergmann, TO and Towhidkhah, F and Violante, I and Lorenz, R and Kuplicki, R and Tsuchiyagaito, A and Mulyana, B and Mayeli, A and Ghobadi-Azbari, P and Samani, MM and Zilverstand, A and Paulus, MP and Bikson, M and Ekhtiari, H},
doi = {osf.io/mxy85},
title = {Closing the loop between brain and electrical stimulation: Towards precision neuromodulation treatments},
url = {http://dx.doi.org/10.31234/osf.io/mxy85},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - <p>One of the most critical challenges in using non-invasive brain stimulation (NIBS) techniques for the treatment of psychiatric and neurologic disorders is inter- and intra-individual variability in response to NIBS. Response variations in previous findings suggest that the one-size-fits-all approach does not seem the most appropriate option for enhancing stimulation outcomes. The optimal way to target and apply NIBS in an individual way is yet to be determined while there is a growing body of evidence for its feasibility and effectiveness. Transcranial electrical stimulation (tES) as one of the NIBS techniques has shown promising results in modulating treatment outcomes in several psychiatric and neurologic disorders while faces the same challenge for individual optimization. With the new computational and methodological advances, tES can be integrated with real-time functional magnetic resonance imaging (rtfMRI) to make closed-loop tES-fMRI for individually optimized neuromodulation. The closed-loop tES-fMRI systems can optimize stimulation parameters based on minimizing differences between the model of the current brain state and the desired value to maximize the expected clinical outcome. The methodological space to optimize closed-loop tES fMRI for clinical applications includes (1) stimulation vs. data acquisition timing, (2) fMRI context (task-based or resting-state), (3) inherent brain oscillations, (4) dose-response function, (5) brain target trait and state and (6) optimization algorithm. Closed-loop tES fMRI technology has several advantages over non-individualized or open-loop systems to reshape the future of neuromodulation with objective optimization in a clinically relevant context such as drug cue reactivity for substance use disorder considering both inter and intra-individual variations. Using multi-level brain and behavior measures as input and desired outcomes to individualize stimulation parameters provides a framework for designing pers
AU  - Soleimani,G
AU  - Nitsche,MA
AU  - Bergmann,TO
AU  - Towhidkhah,F
AU  - Violante,I
AU  - Lorenz,R
AU  - Kuplicki,R
AU  - Tsuchiyagaito,A
AU  - Mulyana,B
AU  - Mayeli,A
AU  - Ghobadi-Azbari,P
AU  - Samani,MM
AU  - Zilverstand,A
AU  - Paulus,MP
AU  - Bikson,M
AU  - Ekhtiari,H
DO  - osf.io/mxy85
PY  - 2022///
TI  - Closing the loop between brain and electrical stimulation: Towards precision neuromodulation treatments
UR  - http://dx.doi.org/10.31234/osf.io/mxy85
ER  -
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