scholarly journals Brain-State-Dependent Non-Invasive Brain Stimulation and Functional Priming: A Hypothesis

Author(s):  
Elena G. Sergeeva ◽  
Petra Henrich-Noack ◽  
MichaÅ‚ Bola ◽  
Bernhard A. Sabel
2016 ◽  
Vol 127 (3) ◽  
pp. e41 ◽  
Author(s):  
C. Zrenner ◽  
J. Tünnerhoff ◽  
C. Zipser ◽  
F. Müller-Dahlhaus ◽  
U. Ziemann

2021 ◽  
Vol 12 ◽  
Author(s):  
Christine A. Conelea ◽  
Suma Jacob ◽  
A. David Redish ◽  
Ian S. Ramsay

Multimodal approaches combining cognitive behavioral therapies (CBT) with non-invasive brain stimulation (NIBS) hold promise for improving the treatment of neuropsychiatric disorders. As this is a relatively new approach, it is a critical time to identify guiding principles and methodological considerations to enhance research rigor. In the current paper, we argue for a principled approach to CBT and NIBS pairings based on synergistic activation of neural circuits and identify key considerations about CBT that may influence pairing with NIBS. Careful consideration of brain-state interactions and CBT-related nuances will increase the potential for these combinations to be positively synergistic.


Author(s):  
Forough Habibollahi Saatlou ◽  
Nigel C. Rogasch ◽  
Nicolas A. McNair ◽  
Mana Biabani ◽  
Steven D. Pillen ◽  
...  

The capacity to externally control transcranial magnetic stimulation (TMS) devices is becoming increasingly important in brain stimulation research. Here we introduce MAGIC (MAGnetic stimulator Interface Controller), an open-source MATLAB toolbox for controlling Magstim and MagVenture stimulators. MAGIC includes a series of MATLAB functions which allow the user to arm/disarm the stimulator, send triggers, change stimulator settings such as amplitude, interpulse intervals, and frequency, and receive stimulator setting information via a serial port connection between a computer and the stimulator. By providing external control capability, MAGIC enables greater flexibility in designing research protocols which require trial-by-trial changes of device settings to realize a priori trial randomization or interactive ad hoc adjustment of parameters during an ongoing experiment. MAGIC thus helps to prevent experimental confounds related to the block-wise variation of parameters and facilitates the integration of TMS with cognitive/sensory tasks, and the development of more adaptive brain state-dependent brain stimulation protocols.


2016 ◽  
Vol 29 ◽  
pp. 66-89 ◽  
Author(s):  
Elisa Tatti ◽  
Simone Rossi ◽  
Iglis Innocenti ◽  
Alessandro Rossi ◽  
Emiliano Santarnecchi

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