MagCPP: A C++ toolbox for Combining Neurofeedback with Magstim transcranial magnetic stimulators

Abstract: Transcranial magnetic stimulation (TMS) is an established method to treat various neurological diseases, such as depression, Alzheimer’s disease, and tinnitus. New applications for TMS are closed loop neurofeedback (NF) scenarios, which require software control of the TMS system, instead of the currently used manual control. Hence, the MagCPP (https://github.com/MagCPP) toolbox was developed and is described in this work. The toolbox enables the external control of Magstim TMS devices via a C++ interface. Comparing MagCPP to two other toolboxes in a TMS application scenario with 40% power, we found that MagCPP works faster and has lower variability in repeated runs (MagCPP, Python, MATLAB [mean±std in seconds]: 1.19±0.00, 1.59±0.01, 1.44±0.02). An integration of MagCPP in a real-time data processing platform MNE-CPP with an optional GUI demonstrates its ability as part of a closed-loop NF-scenario. With its performing advantages over other toolboxes, MagCPP is a first step towards a complete closed loop NF scenario and offers possibilities for novel study designs.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
MagCPP: A C++ toolbox for Combining Neurofeedback with Magstim transcranial magnetic stimulators ; volume:6 ; number:3 ; year:2020 ; pages:497-500 ; extent:4
Current directions in biomedical engineering ; 6, Heft 3 (2020), 497-500 (gesamt 4)

Urheber

DOI
10.1515/cdbme-2020-3128
URN
urn:nbn:de:101:1-2022101215342721820561
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:22 MESZ

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