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Humans differ from each other in a wide range of biometrics, but to what extent brain connectivity varies between individuals remains largely unknown. By combining diffusion-weighted imaging (DWI) and magnetoencephalography (MEG), this study characterizes the inter-subject variability (ISV) of multimodal brain connectivity. Structural connectivity is characterized by higher ISV in association cortices including the core multiple-demand network and lower ISV in the sensorimotor cortex. MEG ISV exhibits frequency-dependent signatures, and the extent of MEG ISV is consistent with that of structural connectivity ISV in selective macroscopic cortical clusters. Across the cortex, the ISVs of structural connectivity and beta-band MEG functional connectivity are negatively associated with cortical myelin content indexed by the quantitative T1 relaxation rate measured by high-resolution 7 T MRI. Furthermore, MEG ISV from alpha to gamma bands relates to the hindrance and restriction of the white-matter tissue estimated by DWI microstructural models. Our findings depict the inter-relationship between the ISV of brain connectivity from multiple modalities, and highlight the role of tissue microstructure underpinning the ISV.
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http://dx.doi.org/10.1038/s42003-022-03974-w | DOI Listing |
Phys Rev Lett
August 2025
Northeastern University, Department of Physics, Center for Theoretical Biological Physics, Boston, Massachusetts 02115, USA.
Sparse connectivity is a hallmark of the brain and a desired property of artificial neural networks. It promotes energy efficiency, simplifies training, and enhances the robustness of network function. Thus, a detailed understanding of how to achieve sparsity without jeopardizing network performance is beneficial for neuroscience, deep learning, and neuromorphic computing applications.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
Faculty of Science, Cognitive and Systems Neuroscience Group, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands.
Predictive coding (PC) proposes that our brains work as an inference machine, generating an internal model of the world and minimizing predictions errors (i.e., differences between external sensory evidence and internal prediction signals).
View Article and Find Full Text PDFBrain
September 2025
Sorbonne University, Inserm U1127, CNRS UMR7225, UM75, Paris Brain Institute, Movement Investigation and Therapeutics Team, 75013 Paris, France.
Adolescence is frequently called the second brain maturation period. In Tourette disorder (TD), the clinical trajectory of tics and associated psychiatric co-morbidities vary significantly across individuals during the transition from adolescents to adulthood. In this study, we aimed to identify patterns of resting-state functional connectivity that differentiate adolescents with TD from their neurotypical peers, and to monitor symptom-specific functional changes over time.
View Article and Find Full Text PDFJAMA Psychiatry
September 2025
School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.
Importance: Cannabis is the most commonly used illicit drug, with 10% to 30% of regular users developing cannabis use disorder (CUD), a condition linked to altered hippocampal integrity. Evidence suggests high-intensity interval training (HIIT) enhances hippocampal structure and function, with this form of physical exercise potentially mitigating CUD-related cognitive and mental health impairments.
Objective: To determine the impact of a 12-week HIIT intervention on hippocampal integrity (ie, structure, connectivity, biochemistry) compared with 12 weeks of strength and resistance (SR) training in CUD.
Psychopharmacology (Berl)
September 2025
Instituto de Biología Celular y Neurociencias "Prof. De Robertis" (IBCN), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina.
Rationale: Autism spectrum disorders (ASD) are a group of neurodevelopmental and multifactorial conditions with cognitive manifestations. The valproic acid (VPA) rat model is a well-validated model that successfully reproduces the behavioral and neuroanatomical alterations of ASD. Previous studies found atypical brain connectivity and metabolic patterns in VPA animals: local glucose hypermetabolism in the prefrontal cortex, with no metabolic changes in the hippocampus.
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