Dense array electroencephalography is being used increasingly to study social cognitive functions in infants and adults. Here we present an established methodology that represents a significant improvement on conventional methodologies for studying EEG in infants and adults.
Dense array electroencephalography (dEEG), which provides a non-invasive window for measuring brain activity and a temporal resolution unsurpassed by any other current brain imaging technology1,2, is being used increasingly in the study of social cognitive functioning in infants and adults. While dEEG is enabling researchers to examine brain activity patterns with unprecedented levels of sensitivity, conventional EEG recording systems continue to face certain limitations, including 1) poor spatial resolution and source localization3,4,2) the physical discomfort for test subjects of enduring the individual application of numerous electrodes to the surface of the scalp, and 3) the complexity for researchers of learning to use multiple software packages to collect and process data. Here we present an overview of an established methodology that represents a significant improvement on conventional methodologies for studying EEG in infants and adults. Although several analytical software techniques can be used to establish indirect indices of source localization to improve the spatial resolution of dEEG, the HydroCel Geodesic Sensor Net (HCGSN) by Electrical Geodesics, Inc. (EGI), a dense sensory array that maintains equal distances among adjacent recording electrodes on all surfaces of the scalp, further enhances spatial resolution4,5,6 compared to standard dEEG systems. The sponge-based HCGSN can be applied rapidly and without scalp abrasion, making it ideal for use with adults7,8, children9,10,11, and infants12, in both research and clinical4,5,6,13,14,15 settings. This feature allows for considerable cost and time savings by decreasing the average net application time compared to other dEEG systems. Moreover, the HCGSN includes unified, seamless software applications for all phases of data, greatly simplifying the collection, processing, and analysis of dEEG data.
The HCGSN features a low-profile electrode pedestal, which, when filled with electrolyte solution, creates a sealed microenvironment and an electrode-scalp interface. In all Geodesic dEEG systems, EEG sensors detect changes in voltage originating from the participant’s scalp, along with a small amount of electrical noise originating from the room environment. Electrical signals from all sensors of the Geodesic sensor net are received simultaneously by the amplifier, where they are automatically processed, packaged, and sent to the data-acquisition computer (DAC). Once received by the DAC, scalp electrical activity can be isolated from artifacts for analysis using the filtering and artifact detection tools included in the EGI software. Typically, the HCGSN can be used continuously for only up to two hours because the electrolyte solution dries out over time, gradually decreasing the quality of the scalp-electrode interface.
In the Parent-Infant Research Lab at the University of Toronto, we are using dEEG to study social cognitive processes including memory, emotion, goals, intentionality, anticipation, and executive functioning in both adult and infant participants.
1. Preparing the Experimental Setup
2. Exchanging Information
3. Preparing for HydroCel Geodesic Sensor Net Application
4. Applying the HydroCel Geodesic Sensor Net
In order to allow for the valid and consistent analysis of collected EEG data, the net application procedure must be highly standardized. Such standardization is achieved by taking measurements of the participant’s head (as described above) to ensure the accurate and consistent placement of electrodes from participant to participant. If optimal net positioning is not initially achieved, remove the net and reapply.
5. Measuring Electrode Impedances
EEG is measured as the potential difference (voltage) between the referenced site and the measured site. High impedance at the scalp-electrode interface causes a drop in measured voltage, attenuation of signal amplitude, and an increase in the presence of noise. While post-acquisition filtering in certain studies (e.g., conventional ERP studies) can get rid of this noise, high impedance generally compromises the fidelity of acquired EEG data. It is therefore important to make sure impedances are within the tolerable specifications before beginning to record EEG data.
6. Taking Baseline Recordings
Before beginning the experimental paradigm, take some baseline dEEG recordings of the participant’s resting electrical brain activity. Resting baseline recordings are important in continuous dEEG studies because there is a high degree of variability in electrical brain activity from participant to participant. As a result, most continuous dEEG studies must implement a within-subjects experimental design, analyzing the differences between each experimental condition and a pre-experiment baseline phase. For event-related EEG studies, a baseline phase may not be necessary.
7. Running the Experiment
In dEEG studies, it is essential to have at least two experimenters present throughout the study. One experimenter will be responsible for interacting with the participant and implementing the behavioural paradigm, while the second experimenter will monitor the Dense Waveform Display.
8. Debriefing the Participant
9. Analysis
The same EGI software used to acquire dEEG data is also used to analyze the data, allowing for a smooth and easy transition from data collection to data analysis. Because the HCGSN also picks up electrical noise originating from the environment, the data must first be filtered and cleaned before it can be analyzed. All of the necessary tools are included in Net Station.
10. Representative Data
Figure 1. Raw EEG waveforms showing the fluctuations in recorded voltage (μv) across time (s), at a single electrode (electrode 30). The waveforms represent data collected during the first 1000ms of each of 3 experimental phases: baseline, demonstration, and immediate recall.
Figure 2. Raw data collected from the entire scalp (128-electrode montage) during three experimental phases (baseline, demonstration, immediate recall) of a participating infant. Data is presented as a topographical map and illustrates differences in surface-level brain electrical activity (μv) across brain regions and experimental phase of the puppet task.
The Hydrocel Geodesic Sensor Net from EGI constitutes a non-invasive and easy-to-apply method of obtaining dEEG data from both adult and infant participants. This technology combines high temporal and spatial resolution with an increased opportunity for mobility, making it ideal for use in complex behavioural paradigms to investigate cognitive activities that may be reflected only in subtle changes in electrical activity. Given increasing interest in investigating the development of infant cognition and the relative scarcity of brain imaging techniques suitable for use in the infant population, the use of the HCGSN is likely to increase, leading us to a deeper understanding of infant cognition.
The authors have nothing to disclose.
The manufacturer of the Geodesic Sensor Net is Electrical Geodesics, Inc (EGI). For contact information, please visit http://www.egi.com/company.