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Dynamic multilayer networks reveal mind wandering.
Front Neurosci
November 2024
Department of Psychology, Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, China.
Introduction: Mind-wandering is a highly dynamic phenomenon involving frequent fluctuations in cognition. However, the dynamics of functional connectivity between brain regions during mind-wandering have not been extensively studied.
Methods: We employed an analytical approach aimed at extracting recurring network states of multilayer networks built using amplitude envelope correlation and imaginary phase-locking value of delta, theta, alpha, beta, or gamma frequency band.
Functional connectivity across the lifespan: a cross-sectional analysis of changes.
Cereb Cortex
October 2024
Center for Cognitive and Computational Neuroscience, Universidad Complutense de Madrid, C/ Ministro Ibañez, 4, 28015 Madrid, Spain.
In the era of functional brain networks, our understanding of how they evolve across life in a healthy population remains limited. Here, we investigate functional connectivity across the human lifespan using magnetoencephalography in a cohort of 792 healthy individuals, categorized into young (13 to 30 yr), middle (31 to 54 yr), and late adulthood (55 to 80 yr). Employing corrected imaginary phase-locking value, we map the evolving landscapes of connectivity within delta, theta, alpha, beta, and gamma classical frequency bands among brain areas.
View Article and Find Full Text PDFSensorimotor brain-computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data.
J Neural Eng
October 2024
Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Serving as a channel for communication with locked-in patients or control of prostheses, sensorimotor brain-computer interfaces (BCIs) decode imaginary movements from the recorded activity of the user's brain. However, many individuals remain unable to control the BCI, and the underlying mechanisms are unclear. The user's BCI performance was previously shown to correlate with the resting-state signal-to-noise ratio (SNR) of the mu rhythm and the phase synchronization (PS) of the mu rhythm between sensorimotor areas.
View Article and Find Full Text PDFMotor Intentions Decoded from fMRI Signals.
Brain Sci
June 2024
Psychiatry Department, Interventional Psychiatric Unit, Interdisciplinary Center for Neurosciences, Medicine School, Pontificia Universidad Católica de Chile, Santiago 8320165, Chile.
Motor intention is a high-level brain function related to planning for movement. Although studies have shown that motor intentions can be decoded from brain signals before movement execution, it is unclear whether intentions relating to mental imagery of movement can be decoded. Here, we investigated whether differences in spatial and temporal patterns of brain activation were elicited by intentions to perform different types of motor imagery and whether the patterns could be used by a multivariate pattern classifier to detect such differential intentions.
View Article and Find Full Text PDFShared structure facilitates working memory of multiple sequences.
Elife
July 2024
School of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Daily experiences often involve the processing of multiple sequences, yet storing them challenges the limited capacity of working memory (WM). To achieve efficient memory storage, relational structures shared by sequences would be leveraged to reorganize and compress information. Here, participants memorized a sequence of items with different colors and spatial locations and later reproduced the full color and location sequences one after another.
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