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Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model

Jingwen Yan, Kefei Liu, Huang Lv, Enrico Amico, Shannon L. Risacher, Yu-chien Wu, Shiaofen Fang, Olaf Sporns, Andrew J. Saykin, Joaquin Goni, Li Shen
2018 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)  
To overcome this limitation, we propose a new outcome-relevant SCCA model (OSCCA) together with a new algorithm to enable the three-way associations among brain connectivity, anatomic structure and episodic  ...  Early change in memory performance is a key symptom of many brain diseases, but its underlying mechanism remains largely unknown.  ...  CONCLUSION We proposed a new association model to explore the three-way association among anatomy, connectivity and memory.  ... 
doi:10.1109/isbi.2018.8363511 pmid:30271529 pmcid:PMC6155994 fatcat:jrpoldsahrcope4heyi57bue7q

Iterative Exploration of Big Brain Network Data

Florian Ganglberger, Nicolas Swoboda, Lisa Frauenstein, Joanna Kaczanowska, Wulf Haubensak, Katja Bühler
2018 Eurographics Workshop on Visual Computing for Biomedicine  
This creates a need for joint exploration of spatial data, such as gene expression patterns, whole brain gene co-expression correlation, structural and functional connectivities together with neuroanatomical  ...  We demonstrate the relevance of our approach for neuroscience by exploring social-behavior and memory/learning functional neuroanatomy in mice.  ...  Related Work Joint exploration of neurobiological data on different scales: As various studies have already shown for the mammalian brain, combining information of the macroscale connectome with microscale  ... 
doi:10.2312/vcbm.20181231 dblp:conf/vcbm/GanglbergerSFKH18 fatcat:ozx2v3bpprajvi7rgfwgol5b5i

Unsupervised decoding of single-trial EEG reveals unique states of functional brain connectivity that drive rapid speech categorization decisions [article]

Rakib Al-Fahad, Mohammed Yeasin, Gavin M Bidelman
2019 bioRxiv   pre-print
While the neural correlates of CP have been well studied in terms of the regional contributions of the brain to behavior, functional connectivity patterns that signify individual differences in listeners  ...  We infer that (i) the listeners perceptual speed is directly related to dynamic variations in their brain connectomics, (ii) global network assortativity and efficiency distinguished fast, medium, and  ...  These findings contribute in several ways to our 624 understanding of how the brain works in categorical perception and provide a basis for further 625 research.  ... 
doi:10.1101/686048 fatcat:2ktdcojhibhczcvgcufadz3qca

Behavioral Interpretations of Intrinsic Connectivity Networks

Angela R. Laird, P. Mickle Fox, Simon B. Eickhoff, Jessica A. Turner, Kimberly L. Ray, D. Reese McKay, David C. Glahn, Christian F. Beckmann, Stephen M. Smith, Peter T. Fox
2011 Journal of Cognitive Neuroscience  
Our results serve as a resource for functional interpretations of brain networks in resting state studies and future investigations into mental operations and the tasks that drive them. ■  ...  However, it was recently demonstrated that similar brain networks can be extracted from resting state data and data extracted from thousands of task-based neuroimaging experiments archived in the BrainMap  ...  ICA maps were converted to z statistic images via a normalized mixture model fit, thresholded at z > 4, and viewed in standard (Talairach) brain space.  ... 
doi:10.1162/jocn_a_00077 pmid:21671731 pmcid:PMC3690655 fatcat:rqk4n23zqrapfchlqheuse3uai

A New Age of Computing and the Brain [article]

Polina Golland, Jack Gallant, Greg Hager, Hanspeter Pfister, Christos Papadimitriou, Stefan Schaal, Joshua T. Vogelstein
2020 arXiv   pre-print
To articulate a conceptual framework for research at the interface of brain sciences and computing and to identify key problems in this interface, presented in a way that will attract both CISE and brain  ...  was convened in Washington, DC, with the goal of bringing together computer scientists and brain researchers to explore these new opportunities and connections, and develop a new, modern dialogue between  ...  Detecting patterns in neural 5 architecture and neural behavior at scale is a massive problem in data mining and modeling.  ... 
arXiv:2004.12926v1 fatcat:v53oudbe4zbpnpaso4iffl2fhm

A single-mode associates global patterns of brain network structure and behavior across the human lifespan [article]

Brent Caleb McPherson, Franco Pestilli
2020 bioRxiv   pre-print
We investigated the global patterns of associations between 334 behavioral and clinical measures and 376 brain structural connections in 594 individuals across the lifespan.  ...  A single-axis associated changes in multiple behavioral domains and brain structural connections (r=0.5808).  ...  We thank Soichi Hayashi, Brad Caron and Josh Faskowitz for contributing to the development of, Craig Stewart, Robert Henschel, David Hancock and Jeremy Fischer for support with  ... 
doi:10.1101/2020.09.24.312090 fatcat:lyevoqwebnh2bies6gxvvdsjr4

Virtual connectomic datasets in Alzheimer's Disease and aging using whole-brain network dynamics modelling

Lucas Arbabyazd, Kelly Shen, Zheng Wang, Martin Hofmann-Apitius, Petra Ritter, Anthony R. McIntosh, Demian Battaglia, Viktor Jirsa
2021 eNeuro  
SC" from empirical FC), by using self-consistent simulations of linear and nonlinear brain network models.  ...  resting state activation patterns ("functional connectivity', FC) is a source of powerful neuromarkers to detect and track the development of neurodegenerative diseases.  ...  Two types of computational whole brain models To bridge between SC and FC via dynamics, we relied on computational modelling of whole-brain intrinsic dynamics.  ... 
doi:10.1523/eneuro.0475-20.2021 pmid:34045210 pmcid:PMC8260273 fatcat:6pw57mdjb5f5fayhggahwigxpu

Linking brain structure, activity and cognitive function through computation

Katrin Amunts, Javier DeFelipe, Cyriel Pennartz, Alain Destexhe, Michele Migliore, Philippe Ryvlin, Steve Furber, Alois Knoll, Lise Bitsch, Jan G. Bjaalie, Yannis Ioannidis, Thomas Lippert (+3 others)
2022 eNeuro  
Dynamic generative multiscale models, which enable causation across scales and are guided by principles and theories of brain function, are instrumental to link brain structure and function.  ...  In 2013 the European Union launched the Human Brain Project (HBP) with the mission to integrate spatial and temporal scales of brain sciences within a common framework, ultimately leading to the digital  ...  In this regard, three types of connections are commonly recognized: (1) structural or anatomic connectivity; (2) functional connectivity, defined as statistical associations or dependencies between neurophysiological  ... 
doi:10.1523/eneuro.0316-21.2022 pmid:35217544 pmcid:PMC8925650 fatcat:k7obyuqb5vcenossdwrlcbg4eu

A Graph Signal Processing View on Functional Brain Imaging [article]

Weiyu Huang, Thomas A. W. Bolton, John D. Medaglia, Danielle S. Bassett, Alejandro Ribeiro, Dimitri Van De Ville
2018 arXiv   pre-print
Graph representations are versatile models where nodes are associated to brain regions and edges to structural or functional connections.  ...  Structural graphs model neural pathways in white matter that are the anatomical backbone between regions.  ...  The fundamental components in network neuroscience are graph models [6] where nodes are associated to brain regions and edge weights are associated with the strength of the respective connections.  ... 
arXiv:1710.01135v3 fatcat:35ml6ug5gvan3bdfi4mtbvisky

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  Currently, most functional models of neural activity are based on firing rates, while the most relevant signals for inter-neuron communication are spikes.  ...  In particular, we wanted to explore the effect of the spatial extension, position and sparsity of the MF input , and in the next stage, the projection patterns from the GrCs to the PCs (Josselyn & Tonegawa  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

Combining complex networks and data mining: Why and how

M. Zanin, D. Papo, P.A. Sousa, E. Menasalvas, A. Nicchi, E. Kubik, S. Boccaletti
2016 Physics reports  
Finally, ways to achieve a tighter integration between complex networks and data mining, and open lines of research are discussed.  ...  A variety of contexts in which complex network theory and data mining have been used in a synergistic manner are then presented.  ...  list (and, for that, we deeply apologise), which equally inspired our efforts, and opened up our minds in a way that contributed, eventually and substantially, to the realisation of the present survey  ... 
doi:10.1016/j.physrep.2016.04.005 fatcat:dp33n23k7vhdfg7nm6lfo57adu

28th Annual Computational Neuroscience Meeting: CNS*2019

2019 BMC Neuroscience  
Activity from both the LP and PD neurons of the stomatogastric ganglion of a crab was recorded using intracellular electrodes and sent to a computer through a DAQ device.  ...  A BQ Zum BT-328 board was used, programmed with Arduino code, with three TG9e microservomotors.  ...  We also explore how varying patterns of selective stimuli can produce and switch between rich sets of dynamics that may be relevant to working memory states and their transitions.  ... 
doi:10.1186/s12868-019-0538-0 fatcat:3pt5qvsh45awzbpwhqwbzrg4su

29th Annual Computational Neuroscience Meeting: CNS*2020

2020 BMC Neuroscience  
by visual experience, and (iii) how patterns of neural activity in the zebrafish brain develop to facilitate precisely targeted hunting behaviour.  ...  Deep RL offers a rich framework for studying the interplay among learning, representation and decision-making, offering to the brain sciences a new set of research tools and a wide range of novel hypotheses  ...  Institute (Challenge grants to SJ), the Research Corporation for Science Advancement (a Cottrell SEED Award to TV), and the German Research Foundation (DFG grant #ME 1535/7-1 to RM), and the Foundation  ... 
doi:10.1186/s12868-020-00593-1 pmid:33342424 fatcat:edosycf35zfifm552a2aogis7a

Combining complex networks and data mining: why and how [article]

Massimiliano Zanin, David Papo, Pedro A. Sousa, Ernestina Menasalvas, Andrea Nicchi, Elaine Kubik, Stefano Boccaletti
2016 bioRxiv   pre-print
Finally, ways to achieve a tighter integration between complex networks and data mining, and open lines of research are discussed.  ...  A variety of contexts in which complex network theory and data mining have been used in a synergistic manner are then presented.  ...  Additional bridges In the three previous sections we have seen numerous examples of how data mining and complex network theory can be used in a synergistic way.  ... 
doi:10.1101/054064 fatcat:ncnw5vdvnfawxiq52vyzqtziuu

On the Technology Prospects and Investment Opportunities for Scalable Neuroscience [article]

Thomas Dean, Biafra Ahanonu, Mainak Chowdhury, Anjali Datta, Andre Esteva, Daniel Eth, Nobie Redmon, Oleg Rumyantsev, Ysis Tarter
2013 arXiv   pre-print
Two major initiatives to accelerate research in the brain sciences have focused attention on developing a new generation of scientific instruments for neuroscience.  ...  We investigate a diverse set of technologies with the purpose of anticipating their development over the span of the next 10 years and categorizing their impact in terms of short-term [1-2 years], medium-term  ...  to explore the space of relevant technologies and identify promising opportunities.  ... 
arXiv:1307.7302v1 fatcat:xgahfuugdjbzfn7uwsjpjtbbqa
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