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Electrophysiological working memory (WM) research shows brain areas communicate via macroscopic oscillations across frequency bands, generating nonlinear amplitude modulation (AM) in the signal. Traditionally, AM is expressed as the coupling strength between the signal and a prespecified modulator at a lower frequency. Therefore, the idea of AM and coupling cannot be studied separately. In this study, 33 participants completed a color recall task while their brain activity was recorded through EEG. The AM of the EEG data was extracted using the Holo-Hilbert spectral analysis (HHSA), an adaptive method based on the Hilbert-Huang transforms. The results showed that WM load modulated parieto-occipital alpha/beta power suppression. Furthermore, individuals with higher frontal theta power and lower parieto-occipital alpha/beta power exhibited superior WM precision. In addition, the AM of parieto-occipital alpha/beta power predicted WM precision after presenting a target-defining probe array. The phase-amplitude coupling (PAC) between the frontal theta phase and parieto-occipital alpha/beta AM increased with WM load while processing incoming stimuli, but the PAC itself did not predict the subsequent recall performance. These results suggest frontal and parieto-occipital regions communicate through theta-alpha/beta PAC. However, the overall recall precision depends on the alpha/beta AM following the onset of the retro cue.
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http://dx.doi.org/10.1038/s41598-023-41358-0 | DOI Listing |
Neuropsychologia
October 2025
Institute of Psychological and Brain Sciences, Liaoning Normal University, Dalian, 116029, China. Electronic address:
Motor observation (MO) and motor imagery (MI) are important methods for motor learning. Abundant studies have explored the process mechanism of simple single-hand movements, however the brain activity patterns for two-hand interactive movements have not been widely studied. Although combined synchronously motor observation (MO) and motor imagery (MI) for one movement can enhance motor performance, the brain mechanisms underlying the performance of MO + MI sequentially in two successive different movements remains unclear.
View Article and Find Full Text PDFExp Brain Res
May 2025
International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy.
In negotiation, individuals collaborate to achieve a shared goal and reach a mutual agreement by understanding their partner's intentions and adapting to them. Unlike most social cognition studies that investigate brain activity in individuals separately, this study employed an innovative hyperscanning approach, which is able to explore the inter-brain synchronization during negotiation. 26 students, divided into 13 dyads, participated in a negotiation decision-making task, requiring convergence on a shared course of action.
View Article and Find Full Text PDFJ Physiol
April 2025
Cognitive and Sensory Imaging Laboratory, Institute for Human Neuroscience, Boys Town National Research Hospital (BTNRH), Omaha, NE, USA.
Emerging imaging studies of working memory (WM) have identified significant WM-related oscillatory events that are unique to each phase of working memory (e.g. encoding, maintenance).
View Article and Find Full Text PDFSoc Neurosci
May 2025
International research center for Cognitive Applied Neuroscience (IrcCAN), Università Cattolica del Sacro Cuore, Milan, Italy.
This hyperscanning study explored the electrophysiological (EEG) patterns of dyads during a naturalistic persuasive interaction, in which the persuader had to convince the receiver that choosing a group solution was the most effective way to solve a group hypothetical everyday situation. Fifteen dyads composed of a persuader and a receiver were involved in a persuasive interaction while EEG data were recorded. EEG frequency bands (delta, theta, alpha, beta and gamma bands) were analyzed, first, considering the distinct role of the participants and, second, dividing the dyads according to the perceived effectiveness of persuasion.
View Article and Find Full Text PDFBrain Cogn
December 2024
Institute of Neural Engineering, Graz University of Technology, Graz, Austria.
Stress is an increasingly dominating part of our daily lives and higher performance requirements at work or to ourselves influence the physiological reaction of our body. Elevated stress levels can be reliably identified through electroencephalogram (EEG) and heart rate (HR) measurements. In this study, we examined how an arithmetic stress-inducing task impacted EEG and HR, establishing meaningful correlations between behavioral data and physiological recordings.
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