23 papers · ranked by Valyu relevance
Salma Salhi, Youssef Kora, Gisu Ham, Hadi Zadeh‐Haghighi + 1 more
'Christoph Simon'] The underlying anatomical structure is fundamental to the study of brain networks, but the role of brainstem from a structural perspective is not very well understood. We conduct a computational and graph-theoretical study of the human structural connectome incorporating a variety of subcortical…
Salma Salhi, Youssef Kora, Gisu Ham, Hadi Zadeh Haghighi + 1 more
The underlying anatomical structure is fundamental to the study of brain networks and is likely to play a key role in the generation of conscious experience. We conduct a computational and graph-theoretical study of the human structural connectome incorporating a variety of subcortical structures including the…
Yaqian Yang, Yi Zheng, Yi Zhen, Shaoting Tang + 2 more
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 features are often devoid of spatial characteristics which directly shape connection formation. By…
Byeongwook Lee, Uiryong Kang, Hongjun Chang, Kwang-Hyun Cho
The organizational principles of the community architecture of human brain networks are still mostly unknown. Here, we found that brain networks have a moderate degree of community segregation but are specifically organized to achieve high community overlap while maintaining their segregated community structures. These…
David Papo, Javier M. Buldú
If brain anatomy and dynamics have a genuine complex network structure as it has become standard to posit, it is also reasonable to assume that such a structure should play a key role not only in brain function but also in brain dysfunction. However, exactly how network structure is implicated in brain damage and…
Chao Cao, Tong Chen, Nan Zhao, Minheng Chen + 6 more
Our brain functions as a complex communication network, and studying it from a network perspective offers valuable insights into its organizational principles and links to cognitive functions and brain disorders. However, most current network studies typically use brain regions as nodes, often overlooking the intricate…
Mengjing Cai, Juanwei Ma, Zirui Wang, Yao Zhao + 9 more
1## BACKGROUND The human brain is a highly integrated network rather than an isolated anatomical area, and it forms a complex and precise connectivity framework through synaptic interactions between neurons. Numerous brain science-related studies have shown that the execution of various higher level cognitive functions…
Donghui Song
Brain network analysis has become an important approach to understanding brain function. Given the human brain’s complexity and dynamic nature, traditional brain networks based on temporal synchronization may not capture all the nuances of brain activity. The emerging trend is to construct brain networks from regional…
Cornelis Jan Stam
Understanding the concept of network hubs and their role in brain disease is now rapidly becoming important for clinical neurology. Hub nodes in brain networks are areas highly connected to the rest of the brain, which handle a large part of all the network traffic. They also show high levels of neural activity and…
Sanjay Ghosh, Ashish Raj, Srikantan S. Nagarajan
Understanding the connection between the brain’s structural connectivity and its functional connectivity is of immense interest in computational neuroscience. Although some studies have suggested that whole brain functional connectivity is shaped by the underlying structure, the rule by which anatomy constraints brain…
Rafael Vinícius da Silveira, Li Min Li, Gabriela Castellano
Brain networks have been widely used to study the relationships between brain regions based on their dynamics using, e.g. fMRI or EEG, and to characterize their real physical connections using DTI. However, few studies have investigated brain networks derived from structural properties; and those have been based on…
Andrea I. Luppi, Filip Milisav, Laura E. Suarez, Golia Shafiei + 8 more
Characterising how perturbations of brain architecture influence brain function is essential to understand the origins of brain dysfunction, and devise potential avenues of treatment. Here we introduce a computational engine for systematic causal discovery of the functional consequences of altering network architecture…
David Papo, Javier M. Buldú
If brain anatomy and dynamics have a complex network structure as it has become standard to posit, it is reasonable to assume that such a structure should play a key role not only in brain function but also in brain dysfunction. However, exactly how network structure is implicated in brain damage and whether at least…
E D Hutchings, S J Sawiak, R A I Bethlehem, A C Roberts + 1 more
Structural similarity provides a powerful framework for measuring coordinated macro- and microstructural variation across the cortex of a single brain. Similarity networks derived from myelin-sensitive MRI sequences undergo marked reorganisation during adolescence, linked to psychosocial outcomes in humans and rodents.…
Hina Shaheen, Roderick Melnik
Disorders: A Review Authors: ['Hina Shaheen' 'Roderick Melnik'] ABSTRACT It is essential to understand the complex structure of the human brain to develop new treatment approaches for neurodegenerative disorders (NDDs). This review paper comprehensively discusses the challenges associated with modelling the complex…
Shreyas Harita, Davide Momi, Zheng Wang, John D. Griffiths
Resting-state functional magnetic resonance imaging (fMRI) is a powerful tool for exploring the brain’s functional organization. Functional connectivity (FC) is a commonly studied feature of fMRI data defined as the temporal correlation between activity patterns in pairs of brain regions. A major discovery of the past…
Authors not listed
Molecular mechanisms governing initiation steps of the assembly of thousands of endogenous multi-protein complexes (EMCs) remain incompletely understood. Here, multiple lines of observations are reported reflecting the biological functions-aligned initiation sequence of hybrid assembly pathways (HAPs) of EMCs. HAPs…
Fahimeh Ahmadi, Zahra Moradimanesh, Reza Khosrowabadi, G. Reza Jafari
The functional brain network emerges from the complex, coordinated activity of distinct yet connected regions, which underlie the diverse repertoire of human cognitive functions. Structural Balance Theory (SBT) has been successfully applied to model such nontrivial connections through the analysis of balance and…
Vesna Vuksanović
Recent advances in network science, applied to in vivo brain recordings, have paved the way for better understanding of the structure and function of the brain. However, despite its obvious usefulness in neuroscience, traditional network science lacks tools for — so important — simultaneous investigation of the…
Timothy F. Boerger, Peter Pahapill, Alissa M. Butts, Elsa Arocho-Quinones + 2 more
In recent years, a paradigm shift in neuroscience has been occurring from “localizationism,” or the idea that the brain is organized into separately functioning modules, toward “connectomics,” or the idea that interconnected nodes form networks as the underlying substrates of behavior and thought. Accordingly, our…
Ru Kong, R. Nathan Spreng, Aihuiping Xue, Richard F. Betzel + 18 more
Decades of neuroscience research has shown that macroscale brain dynamics can be reliably decomposed into a subset of large-scale functional networks, but the specific spatial topographies of these networks and the names used to describe them can vary across studies. Such discordance has hampered interpretation and…
Lucina Q. Uddin, Richard F. Betzel, Jessica R. Cohen, Jessica S. Damoiseaux + 18 more
Progress in scientific disciplines is accompanied by standardization of terminology. Network neuroscience, at the level of macroscale organization of the brain, is beginning to confront the challenges associated with developing a taxonomy of its fundamental explanatory constructs. The Workgroup for HArmonized Taxonomy…
Binghao Yang, Guangzong Chen
The foundation of cognitive flexibility and higher-order intelligence lies in the functional structure and activity of brain networks, which can be dynamically configured by both external environments and internal states. However, decoding these dynamics from high-dimensional neural data remains a challenge. In this…