24 papers · ranked by Valyu relevance
Shouliang Qi, Stephan Meesters, Klaas Nicolay, Bart M. ter Haar Romeny + 1 more
'Bart M. ter Haar Romeny' 'Pauly Ossenblok'] Structural brain networks constructed based on diffusion-weighted MRI (dMRI) have provided a systems perspective to explore the organization of the human brain. Some redundant and nonexistent fibers, however, are inevitably generated in whole brain tractography. We propose…
Luiz Pessoa
What is the relationship between brain and behavior? The answer to this question necessitates characterizing the mapping between structure and function. The aim of this paper is to discuss broad issues surrounding the link between structure and function in the brain that will motivate a network perspective to…
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…
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…
Ioannis Pappas, Michael M. Craig, David K. Menon, Emmanuel A. Stamatakis
'Emmanuel A. Stamatakis'] Title: Abstract The human brain exhibits a rich functional repertoire in terms of complex functional connectivity patterns during rest and tasks. However, how this is developed upon a fixed structural anatomy remains poorly understood. Here we investigated the hypothesis that resting state…
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…
Nicholas B. Dadario, Bledi Brahimaj, Jacky Yeung, Michael E. Sughrue
The surgical management of brain tumors is based on the principle that the extent of resection improves patient outcomes. Traditionally, neurosurgeons have considered that lesions in “non-eloquent” cerebrum can be more aggressively surgically managed compared to lesions in “eloquent” regions with more known functional…
Richard F. Betzel
Connectomics and network neuroscience offer quantitative scientific frameworks for modeling and analyzing networks of structurally and functionally interacting neurons, neuronal populations, and macroscopic brain areas. This shift in perspective and emphasis on distributed brain function has provided fundamental…
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…
Eirini Messaritaki, Sonya Foley, Simona Schiavi, Lorenzo Magazzini + 3 more
Understanding how human brain microstructure influences functional connectivity is an important endeavor. In this work, magnetic resonance imaging data from ninety healthy participants were used to calculate structural connectivity matrices using the streamline count, fractional anisotropy, radial diffusivity and a…
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…
Christopher W. Lynn, Danielle S. Bassett
The brain is a complex organ characterized by heterogeneous patterns of structural connections supporting unparalleled feats of cognition and a wide range of behaviors. New noninvasive imaging techniques now allow these patterns to be carefully and comprehensively mapped in individual humans and animals. Yet, it…
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.…
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…
Olaf Sporns
Understanding the brain represents one of the most profound and pressing scientific challenges of the 21st century. As brain data have increased in volume and complexity, the tools and methods of network science have become indispensable for mapping and modeling brain structure and function, for bridging scales of…
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…
Amir Joudaki, Niloufar Salehi, Mahdi Jalili, Maria G. Knyazeva + 1 more
'Pedro Antonio Valdes-Sosa'] Functional connectivity in human brain can be represented as a network using electroencephalography (EEG) signals. These networks - whose nodes can vary from tens to hundreds - are characterized by neurobiologically meaningful graph theory metrics. This study investigates the degree to…
Boris C. Bernhardt, SeokJun Hong, Andrea Bernasconi, Neda Bernasconi
Early imaging studies in temporal lobe epilepsy (TLE) focused on the search for mesial temporal sclerosis, as its surgical removal results in clinically meaningful improvement in about 70% of patients. Nevertheless, a considerable subgroup of patients continues to suffer from post-operative seizures. Although the…
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…
John D. Medaglia, Danielle S. Bassett
Network analyses in nervous system disorders involves constructing and analyzing anatomical and functional brain networks from neuroimaging data to describe and predict the clinical syndromes that result from neuropathology. A network view of neurological disease and clinical syndromes facilitates accurate quantitative…
Authors not listed
Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressive cognitive decline and widespread neurovascular disturbances. Traditional fMRI provides valuable spatial maps of blood-oxygen-level-dependent (BOLD) changes but often lacks the capacity to quantify the interplay of cerebral blood flow…