Search · four archives
Search · four archives
23 papers · ranked by Valyu relevance
Seth Daetwiler, Angus Read, Jessica Stillwell, Kameron Decker Harris
Scientists construct connectomes, comprehensive descriptions of neuronal connections across a brain, in order to better understand and model brain function. Interactive visualizations of these pathways would enable exploratory analysis of such information flows. Current tools can be used to see individual tracing…
Christopher Leslie Adamson, Mehul Gajwani, Matthias Klapperstueck, James Manley + 2 more
Graph theory has become a popular tool for flexibly mapping and modeling brain networks at various scales, from individual neurons to large brain regions (; ; ). It is especially common in human neuroimaging analysis, where graphs represent macroscopic areas and edges reflect structural connectivity (SC) or functional…
Silvia Fanton, William Hedley Thompson
Visualizations of networks are complex since they are multidimensional and generally convey large amounts of information. The layout of the visualization can communicate either network properties or spatial properties of the network. Generating such figures to effectively convey information and be accurate can be…
Davide Coluzzi, Alice Pirastru, Laura Pelizzari, Monia Cabinio + 3 more
'Maria Marcella Laganà' 'Giuseppe Baselli' 'Francesca Baglio'] Brain connectomics consists in the modeling of human brain as networks, mathematically represented as numerical connectivity matrices. However, this representation may result in difficult interpretation of the data. To overcome this limitation, graphical…
Sergio E. Galindo, Pablo Toharia, Oscar D. Robles, Luis Pastor
Brain complexity has traditionally fomented the division of neuroscience into somehow separated compartments; the coexistence of the anatomical, physiological, and connectomics points of view is just a paradigmatic example of this situation. However, there are times when it is important to combine some of these…
Jian Li, Alexander S. Atalay, Mark Olchanyi, Morgan K. Cambareri + 7 more
Brain network mapping plays a crucial role in advancing our understanding of human brain organization and the neuroanatomic foundations of cognition. Historically, the identification of large-scale brain networks has focused on the cerebral cortex. Some cortical networks have been fractionated into subnetworks…
Jakob Troidl, Simon Warchol, Jinhan Choi, Jordan Matelsky + 7 more
Recent advances in high-resolution connectomics provide researchers access to accurate reconstructions of vast neuronal circuits and brain networks for the first time. Neuroscientists anticipate analyzing these networks to gain a better understanding of information processing in the brain. In particular, scientists are…
Thomas Marrinan, Madeleine Moeller, Alina Kanayinkal, Victor Mateevitsi + 1 more
Applications Authors: ['Thomas Marrinan' 'Madeleine Moeller' 'Alina Kanayinkal' 'Victor Mateevitsi' 'Michael E. Papka'] Scientists often explore and analyze large-scale scientific simulation data by leveraging two- and three-dimensional visualizations. The data and tasks can be complex and therefore best supported…
Tido Bergmans, Tansu Celikel
Understanding the structural organization of the brain is essential for deciphering how complex functions emerge from neural circuits. The Allen Mouse Brain Connectivity Atlas (AMBCA) has revolutionized our ability to quantify anatomical connectivity at a mesoscale resolution, bridging the gap between microscopic…
Rakib Hassan Pran
—In this research, a number of popular network measurement algorithms have been applied to several brain networks (based on applicability of algorithms) for finding out statistical correlation among these popular network measurements which will help scientists to understand these popular network measurement algorithms…
Jian Li, Yijun Liu, Jessica L. Wisnowski, Richard M. Leahy
The human brain is a complex, integrative and segregative network that exhibits dynamic fluctuations in activity across space and time. A canonical set of large-scale networks has been historically identified from resting-state fMRI (rs-fMRI), including the default mode, visual, somatomotor, salience, attention, 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…
Tido Bergmans, Tousif Jamal, Aya Rezeika, Chih-Chia Hsing + 1 more
Biological systems are naturally described as networks, spanning molecular interactions, cellular circuits, and brain-wide functional connectivity. Despite the ubiquity of network data, workflows for inferring network structure and then applying comparable graph analyses across modalities remain fragmented. We present…
Nicholas B. Dadario, Michael E. Sughrue, Lu-Ting Kuo, Abel Po-Hao Huang
The importance of large-scale brain networks in higher-order human functioning is well established in neuroscience, but has yet to deeply penetrate neurosurgical thinking due to concerns of clinical relevance. Here, we conducted the first systematic review examining the clinical importance of non-traditional…
Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan + 6 more
— Mapping the connectome of the human brain using structural or functional connectivity has become one of the most pervasive paradigms for neuroimaging analysis. Recently, Graph Neural Networks (GNNs) motivated from geometric deep learning have attracted broad interest due to their established power for modeling…
Makliya Mamat, Ziyan Wang, Ling Jin, Kailong He + 2 more
'Yiyong Chen'] Understanding the intricate architecture of the brain through the lens of graph theory and advanced neuroimaging techniques has become increasingly pivotal in unraveling the complexities of neural networks. This bibliometric analysis explores the evolving landscape of brain research by focusing on the…
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…
Amirhossein Khalilian-Gourtani, Yasamin Esmaeili, Andrew J. Michalak, Adeen Flinker
Intracranial electrophysiological recordings, including electrocorticography (ECoG) and stereo-EEG (sEEG), are increasingly used across research programs to study human brain function due to their high spatiotemporal resolution. Numerous tools exist for electrode localization and visualization; however, most focus on…
Debanjali Bhattacharya, Neelam Sinha
visual brain network Authors: ['Debanjali Bhattacharya' 'Neelam Sinha'] Abstract—Recent advances in neuroimaging have enabled studies in functional connectivity (FC) of human brain, alongside investigation of the neuronal basis of cognition. One important FC study is the representation of vision in human brain. The…
Charley Presigny, Fabrizio De Vico Fallani
A complete understanding of the brain requires an integrated description of the numerous scales and levels of neural organization. That means studying the interplay of genes and synapses, but also the relation between the structure and dynamics of the whole brain, which ultimately leads to different types of behavior…
Jessica Valero-Rojas, Camilo Ramírez, Laura Pacheco-Paternina, Paulina Valenzuela-Hormazabal + 5 more
Alzheimer’s disease (AD), a prevalent neurodegenerative disorder, presents significant challenges in drug development due to its multifactorial nature. The AlzyFinder Platform presented here addresses this by providing a comprehensive, free web-based tool for ligand-based virtual screening and network pharmacology…
Sergio Pablo-García, Raúl Pérez-Soto, Albert Sabadell-Rendón, Diego Garay-Ruiz + 2 more
In the study of chemical reactions, visualizing reaction networks is pivotal for identifying crucial compounds and reactions. Traditional methods, such as network schematics and reaction path linear plots, often struggle to effectively represent complex reaction networks due to their size and intricate connectivity.…
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…