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The frontoparietal network is involved in multiple tasks, such as visual mental rotation, working memory, or arithmetic. Whether those different cognitive processes are supported by the same supramodal network or distinct, but overlapping, functional systems is unresolved. We investigate whether frontoparietal activity can be selectively entrained by rhythmic sensory stimulations (visual rotation) and whether this entrainment can causally modulate task performance in another modality (auditory working memory). We show that rhythmic visual presentations of rotating shapes, known to activate the dorsal pathway, increase frontoparietal connectivity at stimulation frequency as measured with MEG/EEG. We then show that frontoparietal theta oscillations predict auditory working memory performance. Last, we demonstrate that theta rhythmic visual stimulation applied during auditory memory causally enhances performance, and both the rotating properties of the stimulus and its flickering frequency drive the effect. This study provides causal evidence of the supramodal role of the frontoparietal network in human cognition.
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http://dx.doi.org/10.1126/sciadv.abj9782 | DOI Listing |
Front Hum Neurosci
August 2025
Baptist Medical Center, Department of Behavioral Health, Jacksonville, FL, United States.
Introduction: This study investigates four subdomains of executive functioning-initiation, cognitive inhibition, mental shifting, and working memory-using task-based functional magnetic resonance imaging (fMRI) data and graph analysis.
Methods: We used healthy adults' functional magnetic resonance imaging (fMRI) data to construct brain connectomes and network graphs for each task and analyzed global and node-level graph metrics.
Results: The bilateral precuneus and right medial prefrontal cortex emerged as pivotal hubs and influencers, emphasizing their crucial regulatory role in all four subdomains of executive function.
Front Genet
August 2025
Hunan Provincial Key Laboratory of Finance and Economics Big Data Science and Technology, Hunan University of Finance and Economics, Changsha, China.
RNA N4-acetylcytidine (ac4C) is a crucial chemical modification involved in various biological processes, influencing RNA properties and functions. Accurate prediction of RNA ac4C sites is essential for understanding the roles of RNA molecules in gene expression and cellular regulation. While existing methods have made progress in ac4C site prediction, they still struggle with limited accuracy and generalization.
View Article and Find Full Text PDFFront Psychol
August 2025
Department of Educational Psychology and Pedagogy, Faculty of Psychology, Lomonosov Moscow State University, Moscow, Russia.
Family socioeconomic status is broadly acknowledged to be associated with child development and wellbeing. However, the extent of this association across various dimensions of child development remains a topic of ongoing debate. This study aims to investigate the relationship between parental education and child cognitive and socioemotional skills, as well as the mediating role of children's leisure time activities, including screen time and shared book reading.
View Article and Find Full Text PDFPsychophysiology
September 2025
Shandong Provincial Key Laboratory of Brain Science and Mental Health, Faculty of Psychology, Shandong Normal University, Jinan, China.
"Metacontrol" refers to the ability to achieve an adaptive balance between more persistent and more flexible cognitive-control styles. Recent evidence from tasks focusing on the regulation of response conflict and of switching between tasks suggests a consistent relationship between aperiodic EEG activity and task conditions that are likely to elicit a more persistent versus more flexible control style. Here we investigated whether this relationship between metacontrol and aperiodic activity can also be demonstrated for working memory (WM).
View Article and Find Full Text PDFComput Biol Med
September 2025
Postgraduate Program in Computing, Center for Technological Development, Federal University of Pelotas, Pelotas, 96010-610, Rio Grande do Sul, Brazil.
In the task of image classification for emotion recognition, facial expression data is commonly used. However, electrical brain signals generated by neural activity provide data with greater integrity. We can capture these signals non-invasively using electroencephalogram (EEG) recording devices.
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