Acticap

Manufactured by BrainVision

Sourced in Germany

ActiCAP is a wireless, modular system designed for functional near-infrared spectroscopy (fNIRS) measurements. It provides a platform for recording brain activity through non-invasive optical imaging techniques.

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Lab products found in correlation

Actichamp, by BrainVision (1 mentions) Brainamp amplifier, by BrainVision (1 mentions) Pycorder software, by BrainVision (1 mentions) Brain vision actichamp, by BrainVision (1 mentions) Liveamp, by BrainVision (1 mentions) Brain vision analyzer, by Brain Products (1 mentions) Synamp, by Compumedics (1 mentions) Optiplex 780, by Compumedics (1 mentions) Actichamp amplifier, by BrainVision (1 mentions)

11 protocols using acticap

Characterizing Immediate Effects of rTMS via EEG

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We performed EEG recordings (1) to estimate the individual alpha band peak frequency (IAF) and (2) to characterize the immediate electrophysiological effects and short-lasting aftereffects of rTMS. We attained scalp EEG data with a 24-bit, battery-powered, active channel amplifier with 64 Ag/AgCl active EEG electrodes (actiCAP, BrainVision LLC, Germany) at a 2.5 kHz sampling rate, and without hardware filters (actiChamp, Brain Vision LLC, Germany). Ground and reference electrodes were located at Fpz and FCz, respectively. Impedance values were maintained below 20 kΩ.

Zmeykina E., Mittner M., Paulus W, & Turi Z. (2020). Weak rTMS-induced electric fields produce neural entrainment in humans. Scientific Reports, 10, 11994.

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Optimizing EEG and hEEG Recordings with Active Electrodes

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We acquired EEG or hEEG signals using a 128-channel actiCAP
(BrainVision, Inc) together with a 128-channel Neuroport Multineuron Acquisition
Processor (Blackrock Microsystems, Inc.). The actiCAP system embeds EEG
electrodes with active electronics in a stretchable fabric cap. To optimize the
signal quality in our recordings, we measured electrode impedance in real time
at the beginning of each recording session, while applying gel. We targeted an
impedance level of <25 kΩ for each electrode in these sessions.
After applying gel, we wrapped the cap in kerlix gauze. In hEEG recordings, we
placed gauze sponges above the craniectomy (below the kerlix), to maintain
electrode-skin contact. A rendering of the EEG cap fitted to a participant with
a hemicraniectomy (Structure Sensor Pro, Occipital, Boulder, CO) is shown in
figure 1(a). The EEG and hEEG signals
were lowpass filtered (500 Hz) and sampled at 2000 Hz. For participants with
TBI, we removed 2–3 electrodes from the peripheral channels of the head
cap, using them to record EMG at the trapezius and masseter muscles in
preparation for an EMG-removal procedure (see ‘Offline analysis’, below).

Flint R.D., Li Y., Wang P.T., Vaidya M., Barry A., Ghassemi M., Tomic G., Brkic N., Ripley D., Liu C., Kamper D., Do A.H, & Slutzky M.W. (2022). Noninvasively recorded high-gamma signals improve synchrony of force feedback in a novel neurorehabilitation brain-machine interface for brain injury. Journal of neural engineering, 19(3), 10.1088/1741-2552/ac7004.

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EEG Recording and Co-Registration with MRI Scans

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EEG was recorded using a 64-channel ActiCap system (BrainVision, Morrisville, NC), with a 10–20 layout. Data was recorded at a sampling rate of 5 kHz, with 0.1 μV resolution and bandpass filter of 0.1–100 Hz. Impedances were kept <5 kΩ. Online recordings utilized a ground at AFz and left mastoid reference. At the beginning of each session, electrode layouts with respect to each individual’s head shape were registered using the left and right preauricular, and nasion as fiducial landmarks. This allowed for later co-registration with each individual’s T1 structural MRI scan and for source-localized analysis (see below).

Fine J.M., Mysore A.S., Fini M.E., Tyler W.J, & Santello M. (2023). Transcranial focused ultrasound to human rIFG improves response inhibition through modulation of the P300 onset latency. eLife, 12, e86190.

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EEG Preprocessing and Alpha Band Analysis

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The EEG was recorded from 32 Ag-AgCl preamplified electrodes mounted on the actiCap and with a brainAmp amplifier (Brainvision, Morrisville). The recording reference was FCz and the acquisition rate was 500 Hz. All the EEG processing was performed in the NeuroRT software (Mensia, Renne). The following steps were performed in this order for the online preprocessing of the data: down-sampling to 256 Hz, bandpass filtering with an infinite impulse response filter at 1–50 Hz, notch filtering at 60 Hz, blink removal through blind source separation, re-referencing to the common average reference, and artifact detection by computing the Riemannian distance between the covariance matrix and the online mean. The data was then filtered to keep only the upper alpha band (10.5–13 Hz) and squared. Only data from P3 and P4 was kept in accordance with Ewing (Ewing et al., 2016 (link)). Finally, each 0.5 s epoch was divided by the average of the 1-min calibration period to normalize the data. This value, which ranged from 0.008 to 6.87, was then sent to the adaptation system to be used in the decision rule-based process.

Labonte-Lemoyne E., Courtemanche F., Louis V., Fredette M., Sénécal S, & Léger P.M. (2018). Dynamic Threshold Selection for a Biocybernetic Loop in an Adaptive Video Game Context. Frontiers in Human Neuroscience, 12, 282.

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EEG Protocol for Visual Task Adaptation

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Participants were then prepared for EEG recording. Simultaneously, the room was darkened to less than 10 lux ambient light to allow the participant to adapt sufficiently for the visual task. Participants were instrumented with 32 Ag/AgCl active electrodes arranged in the International 10–20 montage (Brain Vision ActiCap). EEG was recorded at 500Hz (1 Hz high-pass and 250 Hz low-pass 20 dB/decade Butterworth filter) using a Brain Vision actiChamp 24-bit A/D amplifier with Pycorder software (BrainVision, NC). Facial and eye movements were recorded from electrodes placed above the right eye, below the left eye, and in the middle of the brow. Electrode impedances were kept below manufacturer guidelines for active electrodes (25 kΩ). The left mastoid served as the online reference, and FPz served as the ground electrode. Participants were instructed to avoid clenching, blinking, speaking, and any facial muscle activity. Standard technical quality inspections were also performed (e.g., requesting participants to blink and verifying signal changes in real-time) throughout the recording. During instrumentation, EEG data were examined to evaluate whether participants were compliant with instructions.

Kmiecik M.J., Tu F.F., Silton R.L., Dillane K.E., Roth G.E., Harte S.E, & Hellman K.M. (2021). Cortical Mechanisms of Visual Hypersensitivity in Women at Risk for Chronic Pelvic Pain. medRxiv.

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EEG Data Preprocessing and Analysis

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Participants were fitted for a standard 10–20 32-channel active electrode cap containing Ag/AgCl electrodes (Acticap, Brain Vision). The “active” electrodes contain noise subtraction circuits that significantly reduce electrical interference. A reference electrode was placed at a frontal-central midline site (FCz). Electrodes were filled with a non-toxic conductive gel in order to lower impedances, then electrodes were connected to an EEG signal amplifier and recording software (LiveAmp, Brain Vision, LLC). The impedance for each electrode was kept at or below 25 kΩ. Recordings were digitized at 500 Hz.
Electroencephalography (EEG) data preprocessing was conducted using the Brain Vision Analyzer software (BrainVision Analyzer (Version 2.2.0) (2019) , Brain Products GmbH, Gilching, Germany). Trials with incorrect responses (mean incorrect Simon: 1.82; mean incorrect Stroop: 10.34) were excluded from final averages, and a band-pass filter from 0.1 to 30 Hz was applied. No specific data reduction parameters were used. Channels were referenced to the average mastoids. The data was segmented from 100 ms before the stimulus onset to 800 ms afterward, with the 100 ms pre-stimulus interval serving as the baseline for correction. Data segments were visually inspected for artifacts, and eye blink correction was performed using independent component analysis (ICA).

Velasquez M.A., Winston J.L., Sur S., Yurgil K., Upman A.E., Wroblewski S.R., Huddle A, & Colombo P.J. (2024). Music training is related to late ERP modulation and enhanced performance during Simon task but not Stroop task. Frontiers in Human Neuroscience, 18, 1384179.

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EEG Recording of Sentence Comprehension

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Data recording took place in a single session, lasting about 1.5 h, including set-up time. EEG data were recorded using a 32-electrode cap with active electrodes (Brainvision Acti-cap), amplified with a 100 Hz low-pass filter and digitized at 500 Hz. Scalp electrodes were placed according to the International 10–20 system at the following locations (FP1, FP2, F7, F3, Fz, F4, F8, FC5, FC1, FC2, FC6, T7, C3, Cz, C4, T8, CP5, CP1, CP2, CP6, P7, P3, Pz, P4, P8, O1, Oz, O2). Additional electrodes were positioned on the outer canthi of each eye (1 cm above or below midline, following Spriggs (2009) ) to monitor for eye movements and blinks. Electrode impedances were kept below 15 KΩ (Mean = 8.5 KΩ). EEG was referenced online to the left mastoid, and re-referenced offline to the average of the left and right mastoids. All electrical equipment (computers, monitors) were connected through a power conditioner (Furman PL-8C) to reduce 60 Hz line noise. Prior to starting the experiment, participants were familiarized with the sensitivity of EEG to artifacts and were encouraged to find a comfortable position in the chair that allowed them to feel as relaxed as possible. Throughout the duration of the experiment, individuals were instructed to keep their eyes on the fixation cross and avoid blinking while listening to sentences in an attempt to reduce eye movement-related artifacts.

Barbieri E., Litcofsky K.A., Walenski M., Chiappetta B., Mesulam M.M, & Thompson C.K. (2020). Online sentence processing impairments in agrammatic and logopenic primary progressive aphasia: Evidence from ERP. Neuropsychologia, 151, 107728.

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High-Density EEG Data Acquisition

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A Dell OptiPlex 780 computer and Neuroscan Acquire software was used to collect all EEG data. EEG responses were measured with two 64-channel Neuroscan SynAmps reaction time (RT) amplifiers and a 64-channel BrainVision actiCap, with a 1000 Hz sampling rate and an online analog bandpass filter of 0.05-100 Hz. The midline electrode AFz was used as ground, while FCz was used as an online reference. Data were re-referenced offline to electrodes TP9 and TP10 (averaged mastoids). Horizontal and vertical electrooculogram activity was recorded from electrodes placed lateral to the outer canthus of each eye and above/below the left eye, respectively. High-chloride (10 percent) Abrasive Electrolyte-Gel (EasyCap) was used to fill all electrodes. All electrodes were kept under 10 kΩ for the duration of the study.

Preston T.J., Cougle J.R., Schmidt N.B, & Macatee R.J. (2024). Decomposing the late positive potential to cannabis cues in regular cannabis users: A temporal-spatial principal component analysis. Psychophysiology, 61(4).

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32-Channel EEG Data Acquisition and Processing

Cited 1 time

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EEG data recording and processing procedures were the same as those used in (Barbieri et al., 2021 (link)). EEG data were recorded using a 32-electrode cap with active electrodes (BrainVision Acti-CAP and BrainVision Recorder software version 1.20.0701; Brain Products GmbH, Gilching, Germany) placed following the International 10–20 system (Jasper, 1958 ): Fp1, Fp2, F7, F3, Fz, F4, F8, FC5, FC1, FC2, FC6, T7, C3, Cz, C4, T8, CP5, CP1, CP2, CP6, P7, P3, Pz, P4, P8, O1, Oz, O2. Following the protocol from Spriggs (Spriggs, 2010 ), two additional scalp electrodes were placed on the outer canthi of each eye (1 cm above or below midline) to record horizontal and vertical eye-movements and blinks. During data acquisition, all channels were referenced to the left mastoid channel and re-referenced offline to the average of the right and left mastoid channels. All electrode impedances were under 5 KΩ (mean = 2 KΩ, SD = 2) prior to starting the experiment. Electrical signals were amplified using a BrainVision actiCHamp amplifier at a sampling rate of 500 Hz and low-pass filtered at 100 Hz online. To reduce 60 Hz line noise, all electrical equipment were connected through a power conditioner (Furman PL-8C).

Chiappetta B., Patel A.D, & Thompson C.K. (2021). Musical and linguistic syntactic processing in agrammatic aphasia: An ERP study. Journal of neurolinguistics, 62, 101043.

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Electrophysiological Assessment of Nociceptive Pathways

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Laser Evoked Potentials (LEPs) were measured with EEG. EEG recordings were obtained from 59 Ag/AgCl surface electrodes attached to an elastic cap placed in accordance with the extended international 10–20 system (Brain Vision Acticap combined with a Neuroscan head box and amplifier system). Band-pass filters were set at DC—100Hz, with a sampling rate of 500Hz and gain of 500. A notch filter was set to 50Hz to reduce electrical interference. Electrodes were referenced to the ipsilateral (right) earlobe. The horizontal and vertical electro-oculograms (EOG) were measured for detection of eye-movement and blink artefacts.

Almarzouki A.F., Brown C.A., Brown R.J., Leung M.H, & Jones A.K. (2017). Negative expectations interfere with the analgesic effect of safety cues on pain perception by priming the cortical representation of pain in the midcingulate cortex. PLoS ONE, 12(6), e0180006.

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