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Search · four archives
22 papers · ranked by Valyu relevance
Armin Iraji, Ashkan Faghiri, Zening Fu, Srinivas Rachakonda + 12 more
We introduce an extension of independent component analysis (ICA), called multiscale ICA, and design an approach to capture dynamic functional source interactions within and between multiple spatial scales. Multiscale ICA estimates functional sources at multiple spatial scales without imposing direct constraints on the…
A. Iraji, A. Faghiri, Z. Fu, S. Rachakonda + 12 more
We introduce an extension of independent component analysis (ICA), called multiscale ICA (msICA), and design an approach to capture dynamic functional source interactions within and between multiple spatial scales. msICA estimates functional sources at multiple spatial scales without imposing direct constraints on the…
Xiaolu Kong, Ru Kong, Csaba Orban, Wang Peng + 7 more
Large-scale biophysical circuit models can provide mechanistic insights into the fundamental micro-scale and macro-scale properties of brain organization that shape complex patterns of spontaneous brain activity. By allowing local synaptic properties to vary across brain regions, recent large-scale circuit models have…
Xiaolu Kong, Ru Kong, Csaba Orban, Peng Wang + 7 more
Large-scale biophysical circuit models provide mechanistic insights into the micro-scale and macro-scale properties of brain organization that shape complex patterns of spontaneous brain activity. We developed a spatially heterogeneous large-scale dynamical circuit model that allowed for variation in local synaptic…
Parham Mostame, Jonathan Wirsich, Thomas Alderson, Ben Ridley + 8 more
'Anne-Lise Giraud' 'David W Carmichael' 'Serge Vulliemoz' 'Maxime Guye' 'Louis Lemieux' 'Sepideh Sadaghiani' 'Alex Fornito' 'Timothy E Behrens'] Complex brain function comprises a multitude of neural operations in parallel and often at different speeds. Each of these operations is carried out across a network of…
Gianpaolo Antonio Basile, Salvatore Bertino, Victor Nozais, Alessia Bramanti + 4 more
The contribution of structural connectivity to functional connectivity dynamics is still far from being fully elucidated. Herein, we applied track-weighted dynamic functional connectivity (tw-dFC), a model integrating structural, functional, and dynamic connectivity, on high quality diffusion weighted imaging and…
Armin Iraji, Ashkan Faghiri, Noah Lewis, Zening Fu + 2 more
'Srinivas Rachakonda' 'Vince D Calhoun'] Title: Abstract Given the dynamic nature of the brain, there has always been a motivation to move beyond ‘static’ functional connectivity, which characterizes functional interactions over an extended period of time. Progress in data acquisition and advances in analytical…
Krishna Pusuluri, Zening Fu, Robyn Miller, Godfrey Pearlson + 4 more
Despite increasing interest in the dynamics of functional brain networks, most studies focus on the changing relationships over time between spatially static networks or regions. Here we propose an approach to study dynamic spatial brain net-works in human resting state functional magnetic resonance imaging (rsfMRI)…
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…
Xuhong Liao, Lin Yuan, Tengda Zhao, Zhengjia Dai + 5 more
'Mingrui Xia' 'Yihong Yang' 'Alan Evans' 'Yong He'] Recent imaging connectomics studies have demonstrated that the spontaneous human brain functional networks derived from resting-state functional MRI (R-fMRI) include many non-trivial topological properties, such as highly efficient small-world architecture and densely…
Nina von Schwanenflug, Stefan P Koch, Stephan Krohn, Tommy A A Broeders + 5 more
'Tommy A A Broeders' 'David M Lydon-Staley' 'Dani S Bassett' 'Menno M Schoonheim' 'Friedemann Paul' 'Carsten Finke'] Title: Abstract Patients with multiple sclerosis consistently show widespread changes in functional connectivity. Yet, alterations are heterogeneous across studies, underscoring the complexity of…
Raphaël Liégeois, Erik Ziegler, Pierre Geurts, Francisco Gómez + 6 more
'Mohamed Ali Bahri' 'Christophe Phillips' 'Andrea Soddu' 'Audrey Vanhaudenhuyse' 'Steven Laureys' 'Rodolphe Sepulchre'] This paper studies the link between resting-state functional connectivity (FC), measured by the correlations of the fMRI BOLD time courses, and structural connectivity (SC), estimated through fiber…
Avraam D. Marimpis, Stavros I. Dimitriadis, Rainer Goebel
Despite recent progress in the analysis of neuroimaging data sets, our comprehension of the main mechanisms and principles which govern human brain cognition and function remains incomplete. Network neuroscience makes substantial efforts to manipulate these challenges and provide real answers. For the last decade…
Hongming Li, Xiaofeng Zhu, Yong Fan
We present a deep semi-nonnegative matrix factorization method for identifying subject-specific functional networks (FNs) at multiple spatial scales with a hierarchical organization from resting state fMRI data. Our method is built upon a deep semi-nonnegative matrix factorization framework to jointly detect the FNs at…
Simon Wein, Alina Schüller, Ana Maria Tomé, Wilhelm M. Malloni + 2 more
'Mark W. Greenlee' 'Elmar W. Lang'] Comprehending the interplay between spatial and temporal characteristics of neural dynamics can contribute to our understanding of information processing in the human brain. Graph neural networks (GNNs) provide a new possibility to interpret graph structured signals like those…
Yanjiang Wang, Jichao Ma, J. Luo, Xue Chen + 1 more
How human brain function emerges from structure has intrigued researchers for decades and numerous models have been put forward, yet none of them yields a close structure-function relation. Here we present a resonance model based on neuronal spike timing dependent plasticity (STDP) principle to describe the spontaneous…
Enzo Tagliazucchi, Helmut Laufs, Dante R. Chialvo
Large efforts are currently under way to systematically map functional connectivity between all pairs of millimeter-scale brain regions using big volumes of neuroimaging data. Functional magnetic resonance imaging (fMRI) can produce these functional connectomes, however, large amounts of data and lengthy computation…
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…
Authors not listed
Active assembly of matter is a defining trait of living systems, enabling the creation of far-from-equilibrium materials essential for the functionality of life. This is achieved through energy-dissipative, multi-step processes facilitated by various biomolecular agents for chemical and mechanical assembly of matter.…
Authors not listed
Real-world datasets in chemical engineering and bioengineering processes--such as those from catalytic reactors, multiphase flows, polymerization reactors, bioreactors, and clinical trials--can often be unlabelled or disorganized, rendering the training of existing supervised learning models ineffective at learning the…
Marina Gorostiola González, Remco L. van den Broek, Thomas G.M. Braun, Magdalini Chatzopoulou + 4 more
Proteochemometric (PCM) modelling is a powerful computational drug discovery tool used in bioactivity prediction of potential drug candidates relying on both chemical and protein information. In PCM features are computed to describe small molecules and proteins, which directly impact the quality of the predictive…
Authors not listed
Atomistic simulations provide essential mechanistic insights into chemical processes, yet many important phenomena in chemistry and materials science occur on timescales that are inaccessible to molecular dynamics. Existing computational approaches force a choice between atomic resolution on relatively short timescales…