So far, this series covered hyperscanning with BrainAmp amplifiers as well as with CGX Quick headsets. Part 3 introduces a more general approach, which is based on LabStreamingLayer (LSL).
In this article, based on our current work, we compared transcranial evoked potentials recorded with active and passive electrodes. Signals obtained with the two methods did not statistically differ in amplitude and topography, and showed a high degree of similarity across the scalp. We conclude that active electrodes are a viable solution for studies combining transcranial magnetic stimulation and electroencephalography.
We recently investigated how musical partners resolve unmeasured expressive silences in musical interaction. Partners resolved shorter silences more synchronously than longer silences; partners also displayed enhanced neural markers of motor preparation for shorter relative to longer silences. Thus, shorter silences in interaction may facilitate interpersonal coordination.
Are you looking for extensions for BrainVision Analyzer 2? They are called Solutions! Scientists from various fields of research use them to tweak Analyzer to their needs. Analysis of non-EEG sensor data, sleep data, single trials and time-frequency domain exports are only some examples where users can benefit from our solutions.
We are excited to let you know that Carbon Wire Loops (CWL) for the BrainCap MR are now available to order. This solution is extremely helpful for the correction of motion related artefacts.
At the Montreal Neurological Institute and Hospital, we work with combined EEG and fMRI acquisition to study epileptic patients to determine the brain region responsible for the generation of seizures that characterize this condition. We use Carbon Wire Loops to help recover a clean signal from the EEG recorded in the MR environment.
EEG signals acquired in parallel to fMRI data require the handling of artifacts in the EEG dataset due to electrode motion, for example, by blood pulsation. Using carbon wire loops placed on EEG caps allows you to directly measure these artifacts and subsequently correct for them efficiently using a regression-based approach.
This aEEG-TMSrticle walks you through the collection of neuro-navigated simultaneously obtained Transcranial Magnetic Stimulation (TMS) evoked EEG (TMS-EEG) data to investigate network-specific TMS-induced EEG activations, as in Ozdemir et al, 2020 (PNAS), focusing specifically on the methods of TMS-EEG data collection and analysis.
Curious about combining EEG and fNIRS for your stationary, lab-based research? If the answer is yes, then check out our step-by-step guide on stationary EEG-fNIRS setup with actiCHamp Plus, actiCAP slim/snap, and NIRScout.
This study investigates whether 4-month-old infants build causal action-effect models, a prerequisite for a sense of agency. Using behavioral and neural measures of violation of expectation, we found evidence for causal models only in a subset of infants. Thus, the sense of agency is beginning to emerge at this age.
