While the link between brain structure and function remains an ongoing challenge, prevailing hypothesis is that structure-function relationship may itself be gradually decoupling from unimodal to transmodal cortex. However, this constrained by underlying models which neglect requisite information. Here we relate structural functional connectivity derived diffusion MRI through orthogonal eigenmodes governing frequency-specific patterns. We find low-frequency contribute little interactions in...

Introduction: Numerous studies have emphasized the time-varying modular architecture of functional brain networks and its relevance to cognitive functions in healthy participants. However, how dynamics change schizophrenia these alterations relate neurotransmitter transcriptomic signatures not been well elucidated. Methods: We harmonized resting-state fMRI data from a multi-site sample including 223 patients 279 controls applied multilayer network method estimate regional module switching...

Background/Objectives: Cocaine use disorder (CUD) poses a worldwide health challenge, with severe consequences for brain function. However, the phase dynamics underlying CUD and transitions between remain poorly understood. Methods: Here, we used resting-state functional magnetic resonance imaging (fMRI) data from 43 patients 45 healthy controls (HCT). We performed empirical analysis to identify phase-coherence states compared their probabilities of occurrence conditions. To further explore...

Background/Objectives: Schizophrenia is a severe psychiatric disorder characterized by deficits in perception and advanced cognitive functions. Prior studies have reported abnormal lateralization cortical morphology functional connectivity schizophrenia. However, it remains unclear whether schizophrenia affects hemispheric asymmetry the hierarchical organization of connectome. Methods: Here, we apply gradient mapping framework to connectome estimate first three gradients, which characterize...

Age-related hearing loss (ARHL) is a common sensory disability among older adults and considered risk factor for the development of dementia. Previous work has shown altered brain connectome topology in ARHL, including abnormal nodal strength clustering coefficient. However, whether ARHL affects hierarchical organization structural how these alterations relate to transcriptomic signatures remain unknown. Here, we apply gradient mapping framework derived from diffusion magnetic resonance...

Introduction Major depressive disorder (MDD) is a debilitating disease involving sensory and higher-order cognitive dysfunction. Previous work has shown altered asymmetry in MDD, including abnormal lateralized activation disrupted hemispheric connectivity. However, it remains unclear whether how MDD affects functional asymmetries the context of intrinsic hierarchical organization. Methods Here, we evaluate intra- inter-hemispheric first three gradients, characterizing unimodal-transmodal,...

Abstract Competitive information diffusion on large-scale social networks reveals fundamental characteristics of rumor contagions and has profound influence public opinion formation. There been growing interest in exploring dynamical mechanisms the competing evolutions recently. Nevertheless, impacts homogeneity trend, which determines powerful collective human behaviors, remains unclear. In this paper, we incorporate trend into a modified competitive ignorant-spreader-ignorant model with...

Stimulation to local areas remarkably affects brain activity patterns, which can be exploited investigate neural bases of cognitive function and modify pathological statuses. There has been growing interest in exploring the fundamental action mechanisms stimulation. Nevertheless, how noise amplitude, an essential element dynamics, influences stimulation-induced states remains unknown. Here, we systematically examine effects stimulation by using a large-scale biophysical model under different...

Abstract While brain function is supported and constrained by the underlying structure, connectome-based link estimated current approaches either relatively moderate or accompanied high model complexity, with essential principles structure-function coupling remaining elusive. Here, proposing a mapping method based on network eigendecomposition, we present concise strong correspondence between structure function. We show that explanation of functional connectivity can be significantly...

Abstract The brain’s structural connectome supports signal propagation between neuronal elements, shaping diverse coactivation patterns that can be captured as functional connectivity. While the link structure and function remains an ongoing challenge, prevailing hypothesis is structure-function relationship may itself gradually decoupled along a macroscale gradient spanning unimodal to transmodal regions. However, this strongly constrained by underlying models which neglect requisite...

Brain entropy (BEN) quantifies the temporal complexity of spontaneous neural activity, which has been increasingly recognized as providing important insights into cognitive functions and psychiatric disorders. However, its heritability structural underpinnings are not well understood. Here, we utilize sample to calculate BEN in healthy young adults using resting-state fMRI from Human Connectome Project. We show that is significantly heritable broad brain regions. Heritability estimates...

The complexity of fMRI signals quantifies temporal dynamics spontaneous neural activity, which has been increasingly recognized as providing important insights into cognitive functions and psychiatric disorders. However, its heritability structural underpinnings are not well understood. Here, we utilize multi-scale sample entropy to extract resting-state in a large healthy adult from the Human Connectome Project. We show that at multiple time scales is heritable broad brain regions....

Health issues of children with intellectual disabilities (ID) have gained significant attention as a key focus China health goals. This study aimed to compare the differences in displacement skills and problem behaviors among varying degrees types ID, while also exploring their relationship. The included 90 participants who were ID had completed TGMD-2 Strengths Difficulties Questionnaire (SDQ) assessments. Covariance, partial correlation, multiple linear regression analyses conducted...

Abstract Stimulation to local areas remarkably affects brain activity patterns, which can be exploited investigate neural bases of cognitive function and modify pathological statuses. There has been growing interest in exploring the fundamental action mechanisms stimulation. Nevertheless, how noise amplitude, an essential element dynamics, influences stimulation-induced states remains unknown. Here, we systematically examine effects stimulation by using a large-scale biophysical model under...

While brain function is considered to be tightly supported by the underlying structure, connectome-based link estimated current models relatively moderate, leaving structure-function relationship an ongoing challenge in neuroscience. Here, proposing a novel mapping method based on network eigendecomposition, we present concise and strong correspondence between structure function. We show that explanation of functional connectivity can significantly improved incorporating interactions...

Brain health is an important research direction of neuroscience. In addition to the effects diseases, we cannot ignore negative effect aging on brain health. There have been many studies aging, but only a few used dynamic models analyze differences in micro characteristics healthy people. this article, use relaxed mean-field model (rMFM) study normal aging. Two main parameters are recurrent connection strength and subcortical input strength. The sensitivity rMFM initial values has not fully...

Abstract Brain structural connectomes underpin complex cognitive processes. To date, abundant organizational features have been distilled by network-based tools, including hubs, modules, and small-worldness. However, these are often devoid of spatial characteristics which directly shape connection formation. By considering the embedding brain networks, we reveal specificity, that is, similarity similar-distance connections dissimilarity different-distance connections. It is induced...