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Boredom is a prominent experience commonly reported in school settings and associated with poor academic achievement. Little is known, however, about the age-related trajectory of boredom. Here we examined self-reported ratings of boredom in a cross-sectional sample of 8 to 15-year olds (n = 185) as a function of resting state EEG. Results indicated that reports of boredom in school rose as a function of age. Resting state EEG showed a decrease in theta power with age perhaps reflective of increased control. While no effects were evident in beta and alpha bands, we did observe an interaction between boredom and age for frontal asymmetry such that for those higher in boredom, the asymmetry increased with age. Finally, for theta to beta ratios there were main effects of age (i.e., a decrease in theta/beta ratio with age) and boredom such that those higher in boredom had higher theta/beta ratios over frontal and central brain areas. The results are discussed in the context of prior work on school-related boredom and provide several important avenues for further research.
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http://dx.doi.org/10.1007/s00221-023-06733-3 | DOI Listing |
IEEE Trans Med Imaging
September 2025
Analyzing the spontaneous activity of the human brain using dynamic approaches can reveal functional organizations. The co-activation pattern (CAP) analysis of signals from different brain regions is used to characterize brain neural networks that may serve specialized functions. However, CAP is based on spatial information but ignores temporal reproducible transition patterns, and lacks robustness to low signal-to-noise rate (SNR) data.
View Article and Find Full Text PDFFront Hum Neurosci
August 2025
School of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Cocaine use disorder (CUD) is characterized by cortico-striatal circuit dysregulation and high relapse rates, with repetitive transcranial magnetic stimulation (rTMS) emerging as a potential neuromodulatory intervention. This study investigates rTMS-induced dynamic brain network reconfigurations in 30 CUD patients using longitudinal resting-state fMRI from the SUDMEX-TMS cohort. Applying Leading Eigenvector Dynamics Analysis (LEiDA) to phase-locking states, we identified four metastable network configurations mapped to canonical resting-state networks.
View Article and Find Full Text PDFFront Neurosci
August 2025
Department of Neurology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, China.
Objective: Construct a predictive model for rehabilitation outcomes in ischemic stroke patients 3 months post-stroke using resting state functional magnetic resonance imaging (fMRI) images, as well as synchronized electroencephalography (EEG) and electromyography (EMG) time series data.
Methods: A total of 102 hemiplegic patients with ischemic stroke were recruited. Resting - state functional magnetic resonance imaging (fMRI) scans were carried out on all patients and 86 of them underwent simultaneous electroencephalogram (EEG) and electromyogram (EMG) examinations.
Cureus
August 2025
Orthopaedic Surgery, East Tennessee State University Quillen College of Medicine, Johnson City, USA.
Two patients, ages five and eight, presented to a pediatric orthopedic surgeon with dorsomedial midfoot pain. After further evaluation, each was diagnosed with idiopathic avascular necrosis of the navicular, also known as Kohler disease, with concurrent avascular necrosis of the ipsilateral medial cuneiform. Both patients were treated conservatively with rest, immobilization, limited weight-bearing, and reduced activity, and both saw resolution of symptoms and radiographic findings by the completion of follow-up.
View Article and Find Full Text PDFImaging Neurosci (Camb)
September 2025
Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States.
Spatial similarity of functional connectivity profiles across matching anatomical locations in individuals is often calculated to delineate individual differences in functional networks. Likewise, spatial similarity is assessed across average functional connectivity profiles of groups to evaluate the maturity of functional networks during development. Despite its widespread use, spatial similarity is limited to comparing two samples at a time.
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