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Functional Holography and Cliques in Brain Activation Patterns [chapter]

Yael Jacob, David Papo, Talma Hendler, Eshel Ben-Jacob
2012 Advances in Brain Imaging  
program in System Level Network Neuroscience at Tel Aviv University (EBJ), the National Science Foundation Grants PHY-0216576 and 0225630 at UCSD (EBJ), the Israel Science Foundation -1747/07 (TH) and  ...  www.intechopen.com Advances in Brain Imaging  ...  www.intechopen.comAdvances in Brain Imaging www.intechopen.comFunctional Holography and Cliques in Brain Activation Patterns  ... 
doi:10.5772/28333 fatcat:2ycq4gekhndjxjvsqk3vdzn2ou

Coactivated Clique Based Multisource Overlapping Brain Subnetwork Extraction [article]

Chendi Wang, Rafeef Abugharbieh
2018 arXiv   pre-print
We proposed a multisource subnetwork extraction approach based on the co-activated clique, which (1) uses task co-activation and task connectivity strength information for clique identification, (2) automatically  ...  In this paper, we present an approach for overlapping brain subnetwork extraction using cliques, which we defined as co-activated node groups performing multiple tasks.  ...  We first detect co-activated groups of brain nodes across different tasks based on an activation fingerprint idea, and then identify densely connected cliques based on task-induced weighted connectivity  ... 
arXiv:1801.09589v1 fatcat:hcrdghhhcvh6ncwl5lxe3iq2ee

Revealing voxel correlation cliques by functional holography analysis of fMRI

Yael Jacob, Amir Rapson, Michal Kafri, Itay Baruchi, Talma Hendler, Eshel Ben Jacob
2010 Journal of Neuroscience Methods  
showing neuronal activation and one in the ipsilateral homologues region showing deactivation.  ...  Our results show that the FH analysis performed for a single trial reveals interesting motifs, even in a simple motor task: unilateral hand movements yielded two clusters, one in the contralateral M1 region  ...  This research has been supported in part by the US-Israel Bi-National Science Foundation (BSF), the Tauber Family Foundation and the Maguy-Glass Chair in Physics of Complex Systems.  ... 
doi:10.1016/j.jneumeth.2010.06.007 pmid:20558203 fatcat:aeb3khit5fajfkqmm4skjnn53a

Functional Cliques in the Amygdala and Related Brain Networks Driven by Fear Assessment Acquired During Movie Viewing

Sivan Kinreich, Nathan Intrator, Talma Hendler
2011 Brain Connectivity  
network of activation.  ...  Individually tailored functions derived from these amygdala activation cliques were subsequently applied as general linear model predictors to a whole-brain analysis to reveal the correlated networks.  ...  The reverse relationship between Roy's and our findings support the idea that networks of spontaneous and task-related activity might involve FIG. 6.  ... 
doi:10.1089/brain.2011.0061 pmid:22432905 fatcat:auoyfg7gazes7il6kbawqg3wpe

Cliques and Cavities in the Human Connectome [article]

Ann Sizemore, Chad Giusti, Ari Kahn, Richard F. Betzel, Danielle S. Bassett
2016 arXiv   pre-print
We detect cliques (all-to-all connected sets of brain regions) in the average structural connectomes of 8 healthy adults and discover the presence of more large cliques than expected in null networks constructed  ...  These tools can be used to study mesoscale structures arising from the arrangement of densely connected substructures called cliques in otherwise sparsely connected brain networks.  ...  This is the least stringent and is an area of active research [91, 92] .  ... 
arXiv:1608.03520v2 fatcat:xux3xvdhvnbb3o4m5cuejihs6m

Cliques and cavities in the human connectome

Ann E. Sizemore, Chad Giusti, Ari Kahn, Jean M. Vettel, Richard F. Betzel, Danielle S. Bassett
2017 Journal of Computational Neuroscience  
Encoding brain regions and their connections as a network of nodes and edges captures many of the possible paths along which information can be transmitted as humans Action Editor:  ...  architecture of the network to detect structural topological cavities, detected by the existence of nontrivial representative cycles.  ...  To ensure our interpretation would not fluctuate based on this choice of ρ, we also show the maximal clique distribution for 0 ≤ ρ ≤ 0.25 for the average DSI network (Fig. 7a) .  ... 
doi:10.1007/s10827-017-0672-6 pmid:29143250 pmcid:PMC5769855 fatcat:4ewharxnsvgjzkcl4qf6dlx2oe

On initial Brain Activity Mapping of episodic and semantic memory code in the hippocampus

Joe Z. Tsien, Meng Li, Remus Osan, Guifen Chen, Longian Lin, Phillip Lei Wang, Sabine Frey, Julietta Frey, Dajiang Zhu, Tianming Liu, Fang Zhao, Hui Kuang
2013 Neurobiology of Learning and Memory  
In 2007 with support from Georgia Research Alliance, we have launched the Brain Decoding Project Initiative with the basic idea which is now similarly advocated by BRAIN project or Brain Activity Map proposal  ...  It has been widely recognized that the understanding of the brain code would require large-scale recording and decoding of brain activity patterns.  ...  The cyan spheres represent the fear network activated by task-based fMRI (a total of 14 nodes is identified).  ... 
doi:10.1016/j.nlm.2013.06.019 pmid:23838072 pmcid:PMC3769419 fatcat:3mdb2yyhhzg4fmawwr4x2qdram

On brain activity mapping: insights and lessons from Brain Decoding Project to map memory patterns in the hippocampus

Joe Z. Tsien, Meng Li, Remus Osan, GuiFen Chen, LongNian Lin, Phillip Lei Wang, Sabine Frey, Julietta Frey, DaJiang Zhu, TianMing Liu, Fang Zhao, Hui Kuang
2013 Science China Life Sciences  
On brain activity mapping: Insights and lessons from Brain Decoding Project to map memory patterns in the hippocampus.  ...  We show how innovative behavioral tasks and appropriate mathematical analyses of large datasets can play equally, if not more, important roles in uncovering the specific-togeneral feature-coding cell assembly  ...  The cyan spheres represent the fear network activated by task-based fMRI (a total of 14 nodes is identified).  ... 
doi:10.1007/s11427-013-4521-1 pmid:23900568 fatcat:otyajopejzf4dooxqgzsdjg7e4

Cognitive computation with autonomously active neural networks: an emerging field [article]

Claudius Gros
2009 arXiv   pre-print
We show, that this dilemma can be solved by networks of attractor relics based on competitive neural dynamics, where the attractor relics compete on one side with each other for transient dominance, and  ...  This review will start with a brief overview of the experimental efforts, together with a discussion of transient vs. self-sustained neural activity in the framework of reservoir computing.  ...  The persistent default-mode network (for a critical perspective see [18] ), viz the network of brain areas active in the absence of explicit stimuli processing and task performance, has been found, on  ... 
arXiv:0901.3028v1 fatcat:alb6tmibmje77elxlxovv6xsva

Cognitive Computation with Autonomously Active Neural Networks: An Emerging Field

Claudius Gros
2009 Cognitive Computation  
We show, that this dilemma can be solved by networks of attractor relics based on competitive neural dynamics, where the attractor relics compete on one side with each other for transient dominance, and  ...  To understand the functional role of this self-sustained neural activity, and its interplay with the sensory data input stream, is an important question in cognitive system research and we review here  ...  The persistent default-mode network (for a critical perspective see [18] ), viz., the network of brain areas active in the absence of explicit stimuli processing and task performance, has been found,  ... 
doi:10.1007/s12559-008-9000-9 fatcat:ayldcifr2famrafdmuk32xetti

Selection of a Model of Cerebral Activity for fMRI Group Data Analysis [article]

Merlin Keller and Alexis Roche and Marc Lavielle
2010 arXiv   pre-print
This thesis is dedicated to the statistical analysis of multi-sub ject fMRI data, with the purpose of identifying bain structures involved in certain cognitive or sensori-motor tasks, in a reproducible  ...  Based on a parcellation of the brain volume into functionally homogeneous regions, each model corresponds to a partition of the regions into those involved in the task under study and those inactive.  ...  , and sensitivity in the detection of fMRI activation is observed.  ... 
arXiv:1005.3225v1 fatcat:22aml4quivd2tmn4vilicqmd5e

Using replicator dynamics for analyzing fMRI data of the human brain

G. Lohmann, S. Bohn
2002 IEEE Transactions on Medical Imaging  
In this work, we present a new method of detecting functional networks using fMRI data.  ...  In the context of functional magnetic resonance imagery (fMRI) data of the human brain, networks have been mostly detected using standard clustering approaches.  ...  Zysset for providing the fMRI data. They would also like to thank Dr. V. Jirsa, Florida Atlantic University, Boca Raton FL, for his very helpful suggestions regarding the principal component analysis.  ... 
doi:10.1109/tmi.2002.1009384 pmid:12071619 fatcat:6yklvrxmyncx7b7izrrv3jcdou

Complex networks in brain electrical activity [article]

G. Ruffini, C. Ray, J. Marco, L. Fuentemilla, C. Grau
2005 arXiv   pre-print
The comparison between both networks shows that areas known to be activated in the MMN wave are connected.  ...  We analyze the complex networks associated with brain electrical activity. Multichannel EEG measurements are first processed to obtain 3D voxel activations using the tomographic algorithm LORETA.  ...  Acknowledgments This work has been partly funded by the Starlab Kolmogorov program under the auspices of the FURNET network. G.  ... 
arXiv:physics/0511137v1 fatcat:flqtiufo4vbjzbblhh6wczg7gu

Investigating Functional Cooperation in the Human Brain Using Simple Graph-Theoretic Methods [chapter]

Michael L. Anderson, Joan Brumbaugh, Aysu Şuben
2010 Computational Neuroscience  
We then report some preliminary results of its application, illustrate some of the many future projects in which we expect the technique will be of considerable use (including a way to relate fMRI to EEG  ...  This is not a result that is predicted by prevailing localization-based and modular accounts of the organization of the cortex. Action Attention  ...  For instance, one common form of analysis in graphs is a clique analysis, so called because of its origin in the analysis of social networks (Alba, 1973) .  ... 
doi:10.1007/978-0-387-88630-5_2 fatcat:n4iqmv2hvfg27ivz5mkx3wl624

The cue-reactivity paradigm: An ensemble of networks driving attention and cognition when viewing drug-related and natural-reward stimuli [article]

Lauren D. Hill-Bowen, Michael C. Riedel, Ranjita Poudel, Taylor Salo, Jessica S. Flannery, Julia A. Camilleri, Simon B. Eickhoff, Angela R. Laird, Matthew T. Sutherland
2020 bioRxiv   pre-print
Using methods to cluster regions of interest, we categorized cue-reactivity into cliques, or sub-networks, based on the functional similarities between regions.  ...  In addition, we examined the activation profiles of each convergent brain region linked to cue-reactivity as seeds in task-dependent and task-independent functional connectivity analyses.  ...  The degree of overlap between regions of interest within a clique for task-free (rsFC) and task-based (MACM) maps.  ... 
doi:10.1101/2020.02.26.966549 fatcat:kdvw5bq5qjezvkkuvsrdwg5tsu
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