26 papers · ranked by Valyu relevance
E. W. Lang, A. M. Tomé, I. R. Keck, J. M. Górriz-Sáez + 1 more
'C. G. Puntonet'] This short survey the reviews recent literature on brain connectivity studies. It encompasses all forms of static and dynamic connectivity whether anatomical, functional, or effective. The last decade has seen an ever increasing number of studies devoted to deduce functional or effective connectivity…
Bertha Vázquez-Rodríguez, Laura E. Suárez, Ross D. Markello, Golia Shafiei + 6 more
'Golia Shafiei' 'Casey Paquola' 'Patric Hagmann' 'Martijn P. van den Heuvel' 'Boris C. Bernhardt' 'R. Nathan Spreng' 'Bratislav Misic'] Title: Significance The white matter architecture of brain networks promotes synchrony among neuronal populations, giving rise to richly patterned functional networks. Relating…
Gaël Varoquaux, R. Cameron Craddock
Functional connectomes capture brain interactions via synchronized fluctuations in the functional magnetic resonance imaging signal. If measured during rest, they map the intrinsic functional architecture of the brain. With task-driven experiments they represent integration mechanisms between specialized brain areas.…
Jui-To Wang, Ching-Po Lin, Huei-Min Liu, Carlo Pierpaoli + 1 more
Traditional brain connectivity studies have focused mainly on structural connectivity, often relying on tractography with diffusion MRI (dMRI) to reconstruct white matter pathways. In parallel, studies of functional connectivity have examined correlations in brain activity using fMRI. However, emerging methodologies…
S. Emad Askarinejad, Jean-Baptiste Poline, Georgios D. Mitsis
Understanding the brain’s functional network through functional connectivity (FC) is crucial for gaining deeper insights into brain functional mechanism and identifying a potential biomarker for diagnosing neurological disorders. Despite the development of various FC measures, their reliability under different…
Marco Aiello, Carlo Cavaliere, Marco Salvatore
In recent years, brain connectivity is gaining ever-increasing interest from the interdisciplinary research community. The study of brain connectivity is characterized by a multifaceted approach providing both structural and functional evidence of the relationship between cerebral regions at different scales. Although…
Richard F. Betzel, Makoto Fukushima, Ye He, Xi‐Nian Zuo + 1 more
'Olaf Sporns'] We investigate the relationship of resting-state fMRI functional connectivity estimated over long periods of time with time-varying functional connectivity estimated over shorter time intervals. We show that using Pearson's correlation to estimate functional connectivity implies that the range of…
Robert Todd Constable, Dustin Scheinost, Emily S. Finn, Xilin Shen + 4 more
'Michelle Hampson' 'F. Scott Winstanley' 'Dennis D. Spencer' 'Xenophon Papademetris'] This review focuses on the use of resting-state functional magnetic resonance imaging data to assess functional connectivity in the human brain and its application in intractable epilepsy. This approach has the potential to predict…
Jiebin Luo, Xin Zeng, Yue Xiong, Yuanhang Xu + 4 more
Macroscale functional connectivity is jointly shaped by structural wiring and non-tract influences. Because these contributions are intrinsically entangled, their distinct roles remain unclear. Here, we introduce a large-scale brain modeling-based framework that disentangles functional synchrony into two components…
Enzo Tagliazucchi, Helmut Laufs
The study of large-scale functional interactions in the human brain with functional magnetic resonance imaging (fMRI) extends almost to the first applications of this technology. Due to historical reasons and preconceptions about the limitations of this brain imaging method, most studies have focused on assessing…
Simachew Abebe Mengiste, Demian Battaglia
Dynamic functional connectivity (dFC) is ubiquitously observed in the brain, but why functional networks should remain dynamic even at rest is unclear. We asked whether temporal reconfiguration becomes advantageous when keeping a functional link active is costly. Modeling resting-state dFC as a temporal communication…
Matteo Fraschini, Simone Maurizio La Cava, Luca Didaci, Luigi Barberini
'Luigi Barberini'] The idea of estimating the statistical interdependence among (interacting) brain regions has motivated numerous researchers to investigate how the resulting connectivity patterns and networks may organize themselves under any conceivable scenario. Even though this idea has developed beyond its…
Oren Civier, Marion Sourty, Fernando Calamante
We introduce a connectomics metric that integrates information on structural connectivity (SC) from diffusion MRI tractography and functional connectivity (FC) from resting-state functional MRI, at individual subject level. The metric is based on the ability of SC to broadly predict FC using a simple linear predictive…
Aishwarya Rajesh, Nicole A. Seider, Dillan J. Newbold, Babatunde Adeyemo + 7 more
Structural connections (SC) between distant regions of the brain support synchronized function known as functional connectivity (FC) and give rise to the large-scale brain networks that enable cognition and behavior. Understanding how SC enables FC is important to understand how injuries to structural connections may…
Gregory R. Kirk, Daniela Dentico, Rasmus Birn, Nagesh Adluru + 5 more
Functional connectivity Magnetic Resonance Imaging (fcMRI) has assumed a central role in neuroimaging efforts to understand the changes underlying brain disorders. Current models of the spatial and temporal structure of fcMRI based connectivity contain strong a priori assumptions. We report that low temporal frequency…
S. Chakravarty, Zachary D. Threlkeld, Yelena G. Bodien, Brian L. Edlow + 1 more
'Brian L. Edlow' 'Emery N. Brown'] Abstract— Dynamic functional connectivity (DFC) analysis involves measuring correlated neural activity over time across multiple brain regions. Significant regional correlations among neural signals, such as those obtained from resting-state functional magnetic resonance imaging…
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…
Zhen-Qi Liu, Golia Shafiei, Sylvain Baillet, Bratislav Misic
The relationship between structural and functional connectivity in the brain is a key question in connectomics. Here we quantify patterns of structure-function coupling across the neocortex, by comparing structural connectivity estimated using diffusion MRI with functional connectivity estimated using both…
Oualid Benkarim, Casey Paquola, Bo-yong Park, Jessica Royer + 5 more
Ongoing brain function is largely determined by the underlying wiring of the brain, but the specific rules governing this relationship remain unknown. Emerging literature has suggested that functional interactions between brain regions emerge from the structural connections through mono-as well as polysynaptic…
Jean Faber, Priscila Correia Antoneli, Guillem Via, Noemi S. Araújo + 2 more
In recent years, new and important perspectives were introduced in the field of neuroimaging with the emergence of the connectionist approach (Williams and Henson 2018). In this new context, it is important to know not only which brain areas are activated by a particular stimulus but, mainly, how these areas are…
Piotr Ordon, Ludwik Komorowski
. The theoretic foundations of the novel method for the comprehensive studies on the mechanism of the evolution of the electronic structure in a chemical reaction have been presented. Our method provides quantification for both the sequence of bond forming and breaking and the degree of bond (order) modifications along…
Michael Hutcheon, Andrew Teale
Algorithms are presented for performing a topological analysis of an arbitrary function, evaluated on an arbitrary grid of points. These algorithms work strictly by post-processing the data and require no additional function evaluations. This is achieved by connecting the grid points with a neighbourhood graph…
Benjamin Ries, Richard J Gowers, James RB Eastwood, Irfan Alibay + 4 more
Alchemical free energy campaigns can be planned using graph theory by building up networks that contain nodes representing molecules that are connected by possible transformations as edges. We introduce Konnektor, an open-source Python package, for systematically planning, modifying, and analyzing free energy…
Authors not listed
Curried functions provide a systematic way of transforming multi-argument functions into nested singleargument functions. This transformation allows partial application and supports many central principles of functional programming. Their extension, called curried 𝑘-ary functions, naturally generalizes the familiar…
Authors not listed
AI-driven molecular generation encounters a "generation-synthesis gap": most computationally designed molecules cannot be synthesized in laboratories, limiting AI-assisted drug design (AIDD) applications. Current approaches to assess synthetic accessibility (SA) include computer-aided synthesis planning (CASP) tools…
Kevin Mildau, Christoph Büschl, Jürgen Zanghellini, Justin J.J. van der Hooft
Computational metabolomics workflows have revolutionized the untargeted metabolomics field. However, the organization and prioritization of metabolite features remains a laborious process. Organizing metabolomics data is often done through mass fragmentation-based spectral similarity grouping, resulting in feature sets…