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Evaluation of virtual reality versus plastinated specimens in musculoskeletal anatomy education for second year medical students
Correction: Correlation analysis of BMD in different regions of the vertebrae determined by QCT and DXA on pedicle screw loosening
Talin1 is downregulated in testicular germ cell tumors according to combined bioinformatics and experimental approaches
Maternal technoference decreases brain-to-brain synchrony during mother-infant interaction
Abstract Face-to-face interactions between parents and infants are crucial for healthy infant development. In today’s world, these interactions are frequently disrupted by parental distraction by technological devices, a phenomenon known as technoference . This study aimed to investigate the effects of technoference on mother-infant brain-to-brain synchrony – a measure for how well two brains are communicating. Previous research has shown that greater brain-to-brain synchrony may reflect higher sensitive caregiving, while lower synchrony reflects higher intrusive caregiving. A total of 33 mother-infant dyads participated in a modified Still-Face Paradigm incorporating maternal smartphone distraction. Dual-EEG was employed to measure mother-infant brain-to-brain synchrony which was subsequently quantified using weighted Phase Lag Index (wPLI). Results revealed that, as expected, mother-infant brain-to-brain synchrony was decreased during the smartphone interruptions. Additionally, brain-to-brain synchrony between mother and infant went back to baseline during reunion. Overall, these findings align with previous research emphasizing the potential disruptive effect of smartphones in parent-infant interactions, but also suggest that mother-infant brain-to-brain synchrony can be restored when the mother re-engages in the interaction.
Reducing label dependence in vibration-based drill-bit condition monitoring with masked feature pretraining
Four learning phases in cataract surgery revealed by complication rates among novice surgeons at a Japanese teaching center
Assessing the safety of two organosulfur compounds derived from onion in western honey bee (Apis mellifera)
Linking energy service access and human capabilities to assess energy justice in the rural Sahel
Sex estimation from lateral cephalograms via a hybrid multimodel convolutional neural network
Experimental evaluation of Al2O3–water nanofluid for efficiency enhancement in a photovoltaic–thermal system under Western Indian climate
AI-enhanced routing and slicing strategy for QoS-aware mobile ad hoc networks
Environmental toxicant ochratoxin A induces psoriasis based on network toxicology machine learning and molecular docking analyses
Research on spatiotemporal risk assessment model of bird strike at airports and precise prevention and control strategies
Experimental investigation and thermodynamic correlation of chlordiazepoxide solubility in supercritical CO₂
Cashew nutshell liquid derivatives as a sustainable route to alkyd-free surface coatings
Identifying heart rate characteristics of sleep states of preterm infants using video analysis
A Q-learning approach to waste rock reduction in open-pit mine design based on cleaner production principles
Transmission ratio-efficiency coupled modeling and high-efficiency zone design for multi-row planetary gear transmission of hybrid electric vehicles
Mu rhythm motor–auditory delay in imagined speech mirrors overt speech timing
Abstract Speaking—whether overtly or covertly—requires a mapping between motor commands and their sensory consequences, a process of sensorimotor coordination. The timing of sensorimotor coordination during overt speech is relatively well established. Here we asked whether during imagined speech sensorimotor coordination can preserve this timing and remain grounded in the same biophysical constraints underlying vocal articulation. We instructed participants to imagine producing visually presented syllables (/pa/, /ta/, /ka/). Using magnetoencephalography (MEG), we investigated the spatiotemporal dynamics of mu rhythm (8–30 Hz) power suppression. Cluster-based permutation analysis reveals a segregation of alpha (8–12 Hz) and beta (15–30 Hz) frequencies to auditory and motor areas, respectively. Latency analyses show that beta suppression in motor areas precedes alpha suppression in auditory areas by ~ 120 ms. This delay closely matches sensorimotor coordination time windows previously reported for overt speech. While prior work provided only indirect evidence for the temporal equivalence between imagined and overt speech—by probing the system with altered auditory feedback—our findings offer direct evidence by measuring strictly internal neural processes. Together, the results demonstrate the suitability of alpha–beta power suppression as a neural marker that separately indexes motor and auditory processes associated with imagined speech production.