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While neuroimaging advances have undeniably augmented our understanding of the functions of the brain, these advances have a largely static emphasis on elucidating the structures of the brain. This subsequently leaves the dynamic temporal features of brain networks relatively shrouded in obscurity, as neuroimaging methods that do address these temporal aspects, such as fMRI and near-infrared spectroscopy (NIRS), produce temporal resolutions that are inadequate compared to that of EEG. It is thus pertinent to better understand and employ the use of ERP recording, which is able to produce vast amounts of meaningful information that otherwise would be unknown. ERP recording is a non-invasive analytical tool that allows cognitive neuroscientists to track the rapid temporal modulations of neural activity that are elicited by cognitive, sensory, and motor processes. It involves placing electrodes on the scalp to capture the electrical postsynaptic responses of large neuronal populations2 to specific events or stimuli. ERPs are electroencephalographic changes that are time-locked to sensory, motor, or cognitive events, and are believed to represent the summation of postsynaptic potentials produced during information processing3. These ERP waveforms are characterized by their latency, amplitude, polarity, and scalp distribution, providing a rich array of neurological data that may stimulate further insight into the neural connections that contribute to cognition.
The goal of ERP recording and electroencephalography (EEG) is to obtain information about the foundational neural processes involved in higher-order, complex cognitive operations4. ERPs are defined by their negative or positive fluctuation, as well as their location on the scalp and the time in which they appear after the onset of the stimulus. Various ERPs have been associated with different aspects of cognitive processing. For example, we have been looking at the N400 event-related brain potential5, a negative waveform that is elicited 400 ms after the onset of meaningful stimuli such as words6, and whose distribution on the scalp is known to depend on the semantic category of these stimuli. The N400 is an index of semantic activations, and studies have shown that it has a larger amplitude for words which activate more representations, such as concrete words (e.g., banana) that activate both visual and verbal representations, than for abstract words (e.g., idea), which activate only verbal representations7,8. Research also supports the idea that even mild symptoms of schizophrenia, as measured by schizotypy scales, are associated with abnormally excessive semantic activation of the N4009. As such, we are exploring whether antipsychotic medication, which decreases schizophrenic symptom presentation, normalizes abnormal semantic activations of the N400 in healthy individuals with high levels of schizotypy. Here, the use of ERPs in a semantic categorization paradigm is advantageous for studying the effects of antipsychotics on the N400.
As ERP recording is a non-invasive and relatively economical method to assess neural functioning, it can be applied in a wide range of domains, as evidenced by the substantial number of ERP studies in cognitive neuroscience, neurology, neuropsychology, psycholinguistics, and cognitive psychology. Its versatility enables investigators to ask pertinent research questions about the relative timing of neural events in a large variety of domains, including language, cognition, and the study of various psychiatric disorders10 such as schizophrenia, bipolar affective disorder, depression, and alcohol dependence disorder, and it offers substantial advantages over alternative methods of neuroimaging, such as functional magnetic resonance imaging (fMRI). Some of these include its excellent temporal resolution, which elucidates brain activity down to the millisecond. ERP recording also directly indexes excitatory post-synaptic potentials (EPSPs) and inhibitory post-synaptic potentials (IPSPs) through which many brain computations are performed, something that fMRI does not do. Another advantage of ERP recording is that it offers the possibility of distinguishing inhibitory activity (neuronal hyperpolarizations) from excitatory activity (neuronal depolarization), whereas in fMRI, greater signals are not clearly differentiated between these two. Further, the ERP method does not require a contrast condition: raw ERPs can be examined for just one experimental condition, a distinction from fMRI where control conditions must be subtracted from the experimental condition, leading to uncertainty in associating observations with experimental or contrast conditions. ERP recordings’ utility, relative cost-effectiveness and associated advantages offer strong rationale for the use of ERPs in cognitive neuroscience as a way to track rapid temporal changes in neural activity. Followed is a step-by-step guide to the basics of running an EEG experiment and recording event-related potentials.