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  Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization

Lorenz, R., Simmons, L. E., Monti, R. P., Arthur, J. L., Limal, S., Laakso, I., et al. (2019). Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization. Brain Stimulation, 12(6), 1484-1489. doi:10.1016/j.brs.2019.07.003.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0004-4744-0 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0005-46B4-1
Genre: Zeitschriftenartikel

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 Urheber:
Lorenz, Romy1, 2, Autor           
Simmons, Laura E.3, Autor
Monti, Ricardo P.4, Autor
Arthur, Joy L.3, Autor
Limal, Severin5, Autor
Laakso, Ilkka6, Autor
Leech, Robert7, Autor
Violante, Ines R.8, Autor
Affiliations:
1MRC Cognition and Brain Sciences Unit, Cambridge, United Kingdom, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
3Computational, Cognitive and Clinical Neuroimaging Laboratory, Imperial College School of Medicine, Imperial College London, United Kingdom, ou_persistent22              
4Gatsby Computational Neuroscience Unit, University College London, United Kingdom, ou_persistent22              
5Department of Physiology, Anatomy and Genetics, University of Oxford, United Kingdom, ou_persistent22              
6Department of Electrical Engineering and Automation, Aalto University, Espoo, Finland, ou_persistent22              
7Centre for Neuroimaging Science, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, United Kingdom, ou_persistent22              
8School of Psychology, University of Surrey, Guildford, United Kingdom, ou_persistent22              

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Schlagwörter: Transcranial alternating current stimulation; Experimental design; Machine-learning; Bayesian optimization; Real-time; Phosphenes
 Zusammenfassung: Background

Selecting optimal stimulation parameters from numerous possibilities is a major obstacle for assessing the efficacy of non-invasive brain stimulation.
Objective

We demonstrate that Bayesian optimization can rapidly search through large parameter spaces and identify subject-level stimulation parameters in real-time.
Methods

To validate the method, Bayesian optimization was employed using participants’ binary judgements about the intensity of phosphenes elicited through tACS.
Results

We demonstrate the efficiency of Bayesian optimization in identifying parameters that maximize phosphene intensity in a short timeframe (5 min for >190 possibilities). Our results replicate frequency-dependent effects across three montages and show phase-dependent effects of phosphene perception. Computational modelling explains that these phase effects result from constructive/destructive interference of the current reaching the retinas. Simulation analyses demonstrate the method's versatility for complex response functions, even when accounting for noisy observations.
Conclusion

Alongside subjective ratings, this method can be used to optimize tACS parameters based on behavioral and neural measures and has the potential to be used for tailoring stimulation protocols to individuals.

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Sprache(n): eng - English
 Datum: 2019-06-262019-03-092019-07-012019-07-042019-11
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.brs.2019.07.003
Anderer: Epub 2019
PMID: 31289013
 Art des Abschluß: -

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Projektname : -
Grant ID : P60478
Förderprogramm : Imperial BRC
Förderorganisation : National Institute for Health Research (NIHR)
Projektname : -
Grant ID : P45930
Förderprogramm : -
Förderorganisation : Leverhulme Trust
Projektname : -
Grant ID : P70597
Förderprogramm : -
Förderorganisation : Engineering and Physical Sciences Research Council (EPSRC)
Projektname : -
Grant ID : BB/S008314/1
Förderprogramm : -
Förderorganisation : Biotechnology and Biological Sciences Research Council (BBSRC)
Projektname : -
Grant ID : 209139/Z/17/Z ; 103045/Z/13/Z
Förderprogramm : -
Förderorganisation : Wellcome Trust

Quelle 1

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Titel: Brain Stimulation
  Kurztitel : Brain Stimul
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: New York, NY : Elsevier
Seiten: - Band / Heft: 12 (6) Artikelnummer: - Start- / Endseite: 1484 - 1489 Identifikator: ISSN: 1935-861X
CoNE: https://pure.mpg.de/cone/journals/resource/1935-861X