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Objective: To test the hypothesis that patients affected by Amyotrophic Lateral Sclerosis (ALS) show an altered spatio-temporal spreading of neuronal avalanches in the brain, and that this may related to the clinical picture.
Methods: We obtained the source-reconstructed magnetoencephalography (MEG) signals from thirty-six ALS patients and forty-two healthy controls. Then, we used the construct of the avalanche transition matrix (ATM) and the corresponding network parameter nodal strength to quantify the changes in each region, since this parameter provides key information about which brain regions are mostly involved in the spreading avalanches.
Results: ALS patients presented higher values of the nodal strength in both cortical and sub-cortical brain areas. This parameter correlated directly with disease duration.
Conclusions: In this work, we provide a deeper characterization of neuronal avalanches propagation in ALS, describing their spatio-temporal trajectories and identifying the brain regions most likely to be involved in the process. This makes it possible to recognize the brain areas that take part in the pathogenic mechanisms of ALS. Furthermore, the nodal strength of the involved regions correlates directly with disease duration.
Significance: Our results corroborate the clinical relevance of aperiodic, fast large-scale brain activity as a biomarker of microscopic changes induced by neurophysiological processes.
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http://dx.doi.org/10.1016/j.clinph.2024.04.003 | DOI Listing |
IEEE Trans Neural Syst Rehabil Eng
September 2025
Motor imagery (MI) is a cognitive process that allows individuals to mentally simulate movements without physical execution. However, the exploration of functional connectivity (FC) and lateralization mechanisms under different MI actions remains insufficiently understood. In this work, the common orthogonal basis extraction (COBE) algorithm was employed to isolate action-specific components by removing shared background components from the raw FC of the MI process.
View Article and Find Full Text PDFPLoS One
August 2025
School of Engineering, Institute for Imaging, Data and Communications, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Modularity is a well-established concept for assessing community structures in various single and multi-layer networks, including those in biological and social domains. Brain networks are known to exhibit community structure at a variety of scales-local, meso, and global scale. However, modularity, while useful in describing mesoscale brain organization, is limited as a metric to a global scale describing the overall strength of community structure.
View Article and Find Full Text PDFAdv Mater
August 2025
PSI Center for Neutron and Muon Sciences CNM, 5232, Villigen PSI, Switzerland.
Chiral crystals, whose key feature is the structural handedness, host exotic quantum phenomena driven by the interplay of band topology, spin-orbit coupling (SOC), and electronic correlations. Due to the limited availability of suitable chiral-crystal materials, their unconventional superconductivity (SC) remains largely unexplored. Here, the discovery of unconventional SC in the La(Rh,Ir)Si family of materials is reported by combining muon-spin spectroscopy, band-structure calculations, and perturbation theory.
View Article and Find Full Text PDFPhys Rev E
July 2025
Universidade Federal de Alagoas, Instituto de Física, Maceio 57072-970, Alagoas, Brazil.
We introduce an exactly solvable model of a randomly decorated two-leg spin-ladder that incorporates the topology and main magnetic interactions in CuO ladders found in several cuprate superconducting ceramics. Copper ions at the nodal sites have S=1/2. Oxygen ions at the bonds have a random fraction of S=1/2 spins due to hole doping.
View Article and Find Full Text PDFEur Radiol
August 2025
Department of Radiology, Catharina Hospital, Eindhoven, The Netherlands.
Objectives: This systematic review and meta-analysis aimed to assess the diagnostic accuracy of CT in differentiating high-risk from low-risk colon cancer, with a focus on staging parameters and the impact of CT slice thickness.
Materials And Methods: A systematic search of Ovid MEDLINE and Embase.com was conducted from January 1, 2015, to September 24, 2024, to identify studies evaluating CT-based staging accuracy using histopathology as the reference standard.