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The synchronization phenomenon is one of the crucial collective behaviors of the brain network, with its abnormal patterns in the brain networks of individuals with mental disorders like attention deficit hyperactivity disorder (ADHD) capturing the interest of researchers. ADHD is a prevalent disorder among children, which is linked to adverse outcomes such as impaired recognition of others' emotional facial expressions, leading to awkward social interactions. Despite numerous studies focusing on the synchronization analysis of brain networks in ADHD children while observing emotional facial expressions, the path to synchronization in these networks has been overlooked. For this reason, this research aims to investigate the differences in the synchronization transition of brain networks between healthy and ADHD children while processing emotional facial expressions based on their electroencephalogram signals. The analysis of synchronization cluster sequences in children's brain networks reveals that the formation and progression of synchronization clusters toward complete synchronization follow a more organized and goal-directed pattern in the healthy group than in the ADHD group. Furthermore, examining synchronization clusters with significant differences in stability (P-values < 0.05) during the clustering sequence between the two groups highlights abnormal synchronization in the frontal brain region during the early stages of neural processing in the ADHD group. This finding may contribute to deficits in attentional control and emotional regulation observed in ADHD children. Moreover, the classification results indicate the high potential of synchronization transition-based features to distinguish between ADHD and healthy children, with maximum accuracy, precision, and sensitivity of 82%, 77%, and 90%, respectively.
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http://dx.doi.org/10.1007/s00429-025-02935-3 | DOI Listing |
Elife
September 2025
Human Biology and Primate Evolution, Institute of Biology, Freie Universität Berlin, Berlin, Germany.
Evidence indicates that transposable elements (TEs) can contribute to the evolution of new traits, with some TEs acting as deleterious elements while others are repurposed for beneficial roles in evolution. In mammals, some KRAB-ZNF proteins can serve as a key defense mechanism to repress TEs, offering genomic protection. Notably, the family of KRAB-ZNF genes evolves rapidly and exhibits diverse expression patterns in primate brains, where some TEs, including autonomous LINE-1 and non-autonomous Alu and SVA elements, remain mobile.
View Article and Find Full Text PDFCereb Cortex
August 2025
Department of Psychology, University of Milano-Bicocca, Milan, Italy.
Semantic composition allows us to construct complex meanings (e.g., "dog house", "house dog") from simpler constituents ("dog", "house").
View Article and Find Full Text PDFCereb Cortex
August 2025
Research Imaging Institute, University of Texas Health Science Center at San Antonio, 8403 Floyd Curl Drive, San Antonio, TX 78229, United States.
Statistical Parametric Mapping (SPM) adheres to rigorous methodological standards, including: spatial normalization, inter-subject averaging, voxel-wise contrasts, and coordinate reporting. This rigor ensures that a thematically diverse literature is amenable to meta-analysis. BrainMap is a community database (www.
View Article and Find Full Text PDFMetab Brain Dis
September 2025
Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Wuhan, Hubei, 430022, China.
Major depression disorder (MDD) is a mental condition that significantly threatens both physical and psychological health. This study aimed to discern variances in plasma metabolic profiles between MDD sufferers and healthy counterparts. Additionally, we tracked the hospitalization journey of MDD patients to investigate the normalization of metabolic irregularities through conventional treatment in the form of self-control.
View Article and Find Full Text PDFDiabetologia
September 2025
Department of Diabetology and Internal Medicine, Medical University of Warsaw, Warsaw, Poland.
This review article, developed by the EASD Global Council, addresses the growing global challenges in diabetes research and care, highlighting the rising prevalence of diabetes, the increasing complexity of its management and the need for a coordinated international response. With regard to research, disparities in funding and infrastructure between high-income countries and low- and middle-income countries (LMICs) are discussed. The under-representation of LMIC populations in clinical trials, challenges in conducting large-scale research projects, and the ethical and legal complexities of artificial intelligence integration are also considered as specific issues.
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