27 papers · ranked by Valyu relevance
Giovanni Rabuffo, Jan Fousek, Christophe Bernard, Viktor Jirsa
Title: Visual Abstract
Mohsen Bahrami, Robert G. Lyday, Ramon Casanova, Jonathan H. Burdette + 2 more
'Jonathan H. Burdette' 'Sean L. Simpson' 'Paul J. Laurienti'] As the field of dynamic brain networks continues to expand, new methods are needed to allow for optimal handling and understanding of this explosion in data. We propose here a novel approach that embeds dynamic brain networks onto a two-dimensional (2D)…
Mohsen Bahrami, Paul J. Laurienti, Heather M. Shappell, Sean L. Simpson
The emerging area of dynamic brain network analysis has gained considerable attraction in recent years. While current tools have proven useful in providing insight into dynamic patterns of brain networks, development of multivariate statistical frameworks that allow for examining the associations between phenotypic…
Mohsen Bahrami, Paul J. Laurienti, Heather M. Shappell, Dale Dagenbach + 1 more
The emerging area of dynamic brain network analysis has gained considerable attention in recent years. However, development of multivariate statistical frameworks that allow for examining the associations between phenotypic traits and dynamic patterns of system-level properties of the brain, and drawing statistical…
Varun Madan Mohan, Arpan Banerjee
How communication among neuronal ensembles shapes functional brain dynamics at the large scale is a question of fundamental importance to Neuroscience. To date, researchers have primarily relied on two alternative ways to address this issue 1) in-silico neurodynamical modelling of functional brain dynamics by choosing…
Anthony Randal McIntosh
Brain organization can be appreciated across multiple spatial and temporal scales, where each scale affects the other in the emergent functions that we appreciate as cognition. As a complex adaptive system, the interplay of these scales in the brain represents the information that ultimately supports what we think and…
Ankit N. Khambhati, Ann E. Sizemore, Richard F. Betzel, Danielle S. Bassett
Recent advances in brain imaging techniques, measurement approaches, and storage capacities have provided an unprecedented supply of high temporal resolution neural data. These data present a remarkable opportunity to gain a mechanistic understanding not just of circuit structure, but also of circuit dynamics, and its…
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…
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…
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…
Linda Douw, Edwin van Dellen, Alida A. Gouw, Alessandra Griffa + 13 more
'Willem de Haan' 'Martijn van den Heuvel' 'Arjan Hillebrand' 'Piet Van Mieghem' 'Ida A. Nissen' 'Willem M. Otte' 'Yael D. Reijmer' 'Menno M. Schoonheim' 'Mario Senden' 'Elisabeth C. W. van Straaten' 'Betty M. Tijms' 'Prejaas Tewarie' 'Cornelis J. Stam'] Clinical network neuroscience, the study of brain network topology…
John D. Medaglia, Fabio Pasqualetti, Roy H. Hamilton, Sharon L. Thompson‐Schill + 1 more
'Sharon L. Thompson‐Schill' 'Danielle S. Bassett'] Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive "reserve," associated with better outcomes. However, mechanisms of function and resilience in…
David Papo, Massimiliano Zanin, José A. Pineda‐Pardo, Stefano Boccaletti + 1 more
'Stefano Boccaletti' 'Javier M. Buldú'] Many physical and biological systems can be studied using complex network theory, a new statistical physics understanding of graph theory. The recent application of complex network theory to the study of functional brain networks generated great enthusiasm as it allows addressing…
David Papo, Javier M. Buldú
| 2. Networkness: meaning and conditions 2 | | --- | | 2.1 Reducibility to network structure 4 | | 2.1.1 Connectedness 4 | | 2.1.2 Discretisability 4 | | 2.1.3 Structure preservation 5 | | 2.1.4 Intrinsicality 5 | | 2.2 Modelling brain networks 6 | | 2.2.1 Elements of networkness 7 | | 2.2.2 The ground level of…
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…
David Papo, Javier M. Buldú
Representing the brain as a complex network typically involves approximations of both biological detail and network structure. Here, we discuss the sort of biological detail that may improve network models of brain activity and, conversely, how standard network structure may be refined to more directly address…
Timo Bröhl, Thorsten Rings, Jan Pukropski, Randi von Wrede + 1 more
Epilepsy is now considered a network disease that affects the brain across multiple levels of spatial and temporal scales. The paradigm shift from an epileptic focus-a discrete cortical area from which seizures originate-to a widespread epileptic network-spanning lobes and hemispheres-considerably advanced our…
Narges Chinichian, Michael Lindner, Serhiy Yanchuk, Tilo Schwalger + 2 more
Modeling the functionality of the human brain is a major goal in neuroscience for which many powerful methodologies have been developed over the last decade. The impact of working memory and the associated brain regions on the brain dynamics is of particular interest due to their connection with many functions and…
Spase Petkoski, Petra Ritter, Viktor K. Jirsa
Structural connectivity of the brain at different ages is analyzed using diffusion-weighted Magnetic Resonance Imaging (MRI) data. The largest decrease of the number and average length of streamlines is found for the long inter-hemispheric links, with the strongest impact for frontal regions. From the BOLD functional…
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…
Nicola Pedreschi, Agnès Trebuchon, Alain Barrat, Demian Battaglia
We present a methodological framework for analysing multi-frequency dynamic functional connectivity (dFC) in electrophysiological recordings. The approach characterises not only the magnitude of network reconfiguration over time, but also whether these changes are spatially random or, instead, spatially organised in…
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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…
Spencer Kim, Dylan Gray, Michelle Shanguhyia, Rachel Steinhardt
Recreating the signaling profile a chemical synapse to analyze serotonin receptor activation is a challenge. This is due in part to the kinetics of the synapse, where neurotransmitters are rapidly released and quickly cleared by active reuptake machinery. One strategy to produce a rapid rise in a bio-orthogonally…
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This paper formally defines an operational isomorphism between spectral damping in molecular vibronic systems and neuromodulatory control in biological sensory systems. Without asserting causal continuity or physical identity across scales, we show that both domains instantiate the same class of output-selective…
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Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
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We present a chemical framework in which adaptive organization is achieved by tuning a gated quantum resonator (adaptive genomic resonator) {driven quantum oscillator} across a driven, dissipative reaction manifold (fitness landscape) {Hamiltonian potential surface}. In this view, catalytic elements set gain and phase…
Koichi Handa, Daichi Fujita, Mariko Hirano, Saki Yoshimura + 2 more
Given the aging populations in advanced countries globally, many pharmaceutical companies have focused on developing central nervous system (CNS) drugs. However, due to the blood-brain barrier, drugs do not easily reach the target area in the brain. Although conventional screening methods for drug discovery involve the…