24 papers · ranked by Valyu relevance
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…
Liza Gross
When American architect Louis Sullivan proffered the enduring mantra of 20th century design-form follows function-he chided his peers for violating in art a law so clearly visible in the “open apple blossom” and “sweeping eagle in his flight.” The notion that the essence of things takes shape in the matter of things…
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…
Caroline Garcia Forlim, Siavash Haghiri, Sandra Düzel, Simone Kühn
In recent years, there has been a massive effort to analyze the topological properties of brain networks. Yet, one of the challenging questions in the field is how to construct brain networks based on the connectivity values derived from neuroimaging methods. From a theoretical point of view, it is plausible that the…
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…
Andrea Baronchelli, Ramon Ferrer‐i‐Cancho, Romualdo Pastor‐Satorras, Nick Chater + 1 more
'Nick Chater' 'Morten H. Christiansen'] Networks of interconnected nodes have long played a key role in cognitive science, from artificial neural networks to spreading activation models of semantic memory. Recently, however, a new Network Science has been developed, providing insights into the emergence of global…
Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Elizabeth M Davenport + 3 more
To develop a new fMRI network inference method, BrainNET, that utilizes an efficient machine learning algorithm in a specialized way to quantify contributions of various regions of interests (ROIs) in the brain to a specific ROI to estimate the network. BrainNET is based on Extremely Randomized Trees (ERT) to estimate…
Ayan S Mandal, Steven Brem, John Suckling
Adult diffuse gliomas are among the most difficult brain disorders to treat in part due to a lack of clarity regarding the anatomical origins and mechanisms of migration of the tumours. While the importance of studying networks of glioma spread has been recognized for at least 80 years, the ability to carry out such…
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…
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…
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…
Danielle S. Bassett, Ankit N. Khambhati, Scott T. Grafton
Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems that are composed of many interacting parts. These interactions form intricate patterns over large spatiotemporal scales, and produce emergent behaviors that are difficult to predict from individual elements. Network…
Juliana Gonzalez-Astudillo, Tiziana Cattai, Giulia Bassignana, Marie‐Constance Corsi + 1 more
'Marie‐Constance Corsi' 'Fabrizio De Vico Fallani'] Brain-computer interfaces (BCIs) make possible to interact with the external environment by decoding the mental intention of individuals. BCIs can therefore be used to address basic neuroscience questions but also to unlock a variety of applications from exoskeleton…
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…
William Hedley Thompson, Per Brantefors, Peter Fransson
Network neuroscience has become an established paradigm to tackle questions related to the functional and structural connectome of the brain. Recently, there has been a growing interest to examine the temporal dynamics of the brain's network activity. While different approaches to capture fluctuations in brain…
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…
Randy McIntosh, Sean Hill, Olaf Sporns
Consciousness and cognition are an increasing focus of theoretical and experimental research in neuroscience, leveraging the methods and tools of brain dynamics and connectivity. This Focus Feature brings together a collection of articles that examine the various roles of brain networks in computational and dynamic…
Stavros I. Dimitriadis
There is a growing interest in the neuroscience community on the advantages of multimodal neuroimaging modalities. Functional and structural interactions between brain areas can be represented as a network (graph) allowing us to employ graph-theoretic tools in multiple research directions. Researchers usually treated…
Zitong Zhang, Qawi K. Telesford, Chad Giusti, Kelvin O. Lim + 1 more
'Danielle S. Bassett'] Abstract Wavelet methods are widely used to decompose fMRI, EEG, or MEG signals into time series representing neurophysiological activity in fixed frequency bands. Using these time series, one can estimate frequency-band specific functional connectivity between sensors or regions of interest, and…
William Hedley Thompson, Peter Fransson
It is well-known that the brain’s activity is organized into networks but it is unclear how many networks exist. Additionally, there is also a risk of ambiguity since different names for the same network are frequently reported in the literature. In this study, we employed a mass meta-analysis of fMRI data associated…
Aki Nikolaidis, Aron K. Barbey
Scientific discovery and insight into the biological foundations of human intelligence have advanced considerably with progress in neuroimaging. Neuroimaging methods allow for not only an exploration of what biological characteristics underlie intelligence and creativity, but also a detailed assessment of how these…
David Samu, Anil K. Seth, Thomas Nowotny, Olaf Sporns
In the past two decades some fundamental properties of cortical connectivity have been discovered: small-world structure, pronounced hierarchical and modular organisation, and strong core and rich-club structures. A common assumption when interpreting results of this kind is that the observed structural properties are…
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…
Matthew Bailey, Mark Wilson
One of the critical tools of persistent homology is the persistence diagram. We demonstrate the applicability of a persistence diagram showing the existence of topological features (here rings in a 2D network) generated over time instead of space as a tool to analyse trajectories of biological networks. We show how the…