Detecting and correcting errors is essential to successful action. Studies on response monitoring have examined scalp ERPs following the commission of motor slips in speeded-response tasks, focusing on a frontocentral negativity (i.e., error-related negativity or ERN). Sensorimotor neurophysiologists investigating cortical monitoring of reactive balance recovery behavior observe a strikingly similar pattern of scalp ERPs following externally imposed postural errors, including a brief frontocentral negativity that has been referred to as the balance N1. We integrate and review relevant literature from these discrepant fields to suggest shared underlying mechanisms and potential benefits of collaboration across fields. Unlike the cognitive tasks leveraged to study the ERN, balance perturbations afford precise experimental control of postural errors to elicit balance N1s that are an order of magnitude larger than the ERN and drive robust and well-characterized adaptation of behavior within an experimental session. Many factors that modulate the ERN, including motivation, perceived consequences, perceptual salience, expectation, development, and aging, are likewise known to modulate the balance N1. We propose that the ERN and balance N1 reflect common neural activity for detecting errors. Collaboration across fields could help clarify the functional significance of the ERN and poorly understood interactions between motor and cognitive impairments.
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http://dx.doi.org/10.1111/psyp.13359 | DOI Listing |
eNeuro
January 2025
Research School of Psychology, Australian National University, 0200, Australia.
Inner speech refers to the silent production of language in one's mind. As a purely mental action without obvious physical manifestations, inner speech has been notoriously difficult to quantify. Inner speech is thought to be closely related to overt speech.
View Article and Find Full Text PDFFront Hum Neurosci
January 2025
Center for Ear-EEG, Department of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark.
The recent progress in auditory attention decoding (AAD) methods is based on algorithms that find a relation between the audio envelope and the neurophysiological response. The most popular approach is based on the reconstruction of the audio envelope from electroencephalogram (EEG) signals. These methods are primarily based on the exogenous response driven by the physical characteristics of the stimuli.
View Article and Find Full Text PDFPeerJ
January 2025
School of Psychology, Liaoning Normal University, Dalian, Liaoning Province, China.
Objective: This study aimed to examine the impact of social presence on Chinese reading comprehension and associated neural responses.
Methods: Participants tasked with reading Chinese sentences either alone or in the presence of others and subsequently assessing the accuracy of the sentences' meanings. Concurrently, we recorded the participants' electrical brain responses to critical word processing.
Stress Health
February 2025
Psychology Department, Mount St. Vincent University, Halifax, Canada.
Adverse childhood experiences (ACEs) have diverse effects on physical development and mental health. This study aimed to clarify the relationship between the quantity of ACE exposure, type of ACE exposure, and subjective level of stress felt, correlated with event-related potential activity across the scalp, while controlling for relevant confounding variables. Fifty-three participants aged 18-32 years completed questionnaires assessing their current mental health, self-regulation, childhood socioeconomic status, and history of traumatic events.
View Article and Find Full Text PDFeNeuro
January 2025
Eye and Brain Mapping Laboratory (iBMLab), Department of Psychology, University of Fribourg, 1700 Fribourg, Switzerland
Human face categorization has been extensively studied using event-related potentials (ERPs), positing the N170 ERP component as a robust neural marker of face categorization. Recently, the fast periodic visual stimulation (FPVS) approach relying on steady-state visual evoked potentials (SSVEPs) has also been used to investigate face categorization. FPVS studies consistently report strong bilateral SSVEP face categorization responses over the occipito-temporal cortex, with a right hemispheric dominance, closely mirroring the N170 scalp topography.
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