tDCS was delivered by a battery-driven, constant current stimulator (Chattanooga Ionto, USA) via a pair of saline-soaked sponge electrodes (5.95 cm × 7.60 cm; 45.22 cm2). A constant current of 1.0 mA intensity was delivered for 10 min (30-s ramp up and 30-s ramp down). The anode was placed over left DLPFC (centered at electrode F3 of the 10–20 system) and the reference electrode was located over the right supraorbital region (FP2). Using these tDCS parameters, we modeled the magnitude of the total electric field due to stimulation with the NIC software (Neuroelectrics, Spain). Results of the model provided evidence that the tDCS electric field was largest in the left DLPFC and right orbitofronal cortex (Figure 2 ). The supraorbital region was chosen as the location for reference electrode because there is no evidence that right orbitofrontal cortex is involved in multitasking processes. For sham stimulation, the electrodes were placed at the same positions as real stimulation, but the stimulator was turned off after a 30-s ramp up/ramp down period. Since the onset of tDCS usually generates a tingling or itching sensation over the first minute of the stimulation, this sham procedure blinded the participants from differentiating real and sham conditions (Nitsche et al., 2003a (link)) and was confirmed by a post-experiment questionnaire (see Results section).
Nic software
Manufactured by Neuroelectrics
Sourced in Spain, Germany
NIC software is a core component of Neuroelectrics' lab equipment. It serves as the interface for controlling and monitoring the operation of Neuroelectrics' devices. The software enables users to configure settings, acquire data, and manage the overall functionality of the lab equipment.
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Lab products found in correlation
3 protocols using nic software
1
Transcranial Direct Current Stimulation Protocol for Multitasking
2
Frontal Alpha Power during Decision-Making
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The raw EEG data was pre-processed using standard techniques by employing “NIC software” from Neuroelectrics65 as well as “Brain Vision Analyzer” software66 from Brain Products GmbH, Germany. This involved manual inspection of data to ensure that data from all channels are usable, denoising using IIR (infinite impulse response) filters, ocular correction using independent component analysis (ICA) to remove eye blink artifacts, and temporal segmentation of the data in order to identify data corresponding to 1 s before and 2 s after the decision-making point. We were primarily interested in frontal EEG power in the alpha band (in accordance with our hypotheses described in the introduction) during decision making across different trial types. Therefore, we used the Welch method67 to estimate the power spectral density (PSD) from pre-processed and segmented EEG data and obtained average power across subjects in the alpha band (8–12 Hz) for each trial type, specifically in lateral frontal electrodes AF7 and AF8 (according to the 10–20 EEG electrode placement system).
3
Synchronized EEG and Stimulus Presentation Protocol
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In this research we used various software packages. To present the stimuli on the screen and to synchronize them with the EEG, we used Paradigm Stimulus Presentation (from Perception Research Systems Inc.). For EEG recording, we used NIC software (Neuroelectrics). These two software packages were synchronized to the millisecond using commands and code plugins developed jointly with the manufacturer of the stimulus presentation software, in order to obtain a perfect correspondence between the variables. To analyze the records, filter the data, and obtain a list of blinks of the participants, we used Matlab 2013a (MathWorks), Eeglab, and Brainstorm. For statistical analysis, we used SigmaPlot 11.0 (Systat Software).
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