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Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity

Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun
2018 Frontiers in Neuroinformatics  
and, (2) A decentralized dynamic functional network connectivity algorithm which includes decentralized group ICA and sliding-window analysis of functional MRI data.  ...  In the field of neuroimaging, there is a growing interest in developing collaborative frameworks that enable researchers to address challenging questions about the human brain by leveraging data across  ...  Decentralized dFNC In this section, we briefly present our initial work toward performing dynamic functional network connectivity (dFNC) analysis in a decentralized framework.  ... 
doi:10.3389/fninf.2018.00055 pmid:30210327 pmcid:PMC6119966 fatcat:gfj75iav6nam7lgrxmwoy3t7gq

Imaging brain dynamics using independent component analysis

T.-P. Jung, S. Makeig, M.J. McKeown, A.J. Bell, T.-W. Lee, T.J. Sejnowski
2001 Proceedings of the IEEE  
A similar approach is proving useful for analyzing functional magnetic resonance brain imaging (fMRI) data.  ...  Independent component analysis (ICA) is an effective method for removing artifacts and separating sources of the brain signals from these recordings.  ...  slope, , of the common logistic sigmoid function (8) so often used in neural networks.  ... 
doi:10.1109/5.939827 pmid:20824156 pmcid:PMC2932458 fatcat:quafih634zc45dbw3hklfiniii

From Dynamic Lesions to Brain Imaging of Behavioral Lesions: Alloying the Gold of Psychoanalysis with the Copper of Suggestion

Amir Raz, Joanna B. Wolfson
2010 Neuropsychoanalysis  
With technologies such as brain imaging and reversible brain lesion, some findings from modern biological psychiatry seem to converge with nineteenth-century psychiatry, reminiscent of the old masters.  ...  In particular, suggestion has been shown to modulate specific neural activity in the human brain.  ...  taking into account the dynamics of multiple functional large-scale brain networks, miles away from a caricatured phrenology.  ... 
doi:10.1080/15294145.2010.10773621 fatcat:5kocpd6vbjhfzcg7w4r4e6pm7m

A 2D Histogram-Based Image Thresholding Using Hybrid Algorithms for Brain Image Fusion

Srikanth M. V., V. V. K. D. V. Prasad, K. Satya Prasad
2021 International Journal of System Dynamics Applications  
In this article an effort is made to identify brain tumor disease such as neoplastic, cerebrovascular, Alzheimer's, lethal, sarcoma diseases by successful fusion of images from magnetic resonance imaging  ...  Image thresholding with 2-D histogram is stronger in the segmentation than 1-D histogram. Remove the segmented regions with Scale Invariant Feature Transform (SIFT) algorithm.  ...  The pulse coupled neural network (PCNN) technique is good for image enhancement, segmentation and face and pattern recognition. It depends on biological background of human beings.  ... 
doi:10.4018/ijsda.20221101.oa3 fatcat:t3veijvoivfojce3jy3qapzmz4

The physics of brain network structure, function, and control [article]

Christopher W. Lynn, Danielle S. Bassett
2019 arXiv   pre-print
We next consider models of brain network function that stipulate how neural activity propagates along these structural connections, producing the long-range interactions and collective dynamics that support  ...  Throughout, we highlight several open questions in the physics of brain network structure, function, and control that will require creative efforts from physicists willing to brave the complexities of  ...  Kim, and Vivek Buch for helpful comments on an earlier version of this manuscript. We also thank Ann E. Sizemore for artistic inspiration.  ... 
arXiv:1809.06441v3 fatcat:5udhubilgvdfhefiwfwcwzmdy4

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.  ...  Computational approaches enable large and complex datasets to be addressed efficiently, supported by artificial neural networks, modeling and simulation.  ...  These simulations further the understanding of multiscale brain dynamics of different brain states toward individualized diagnosis and treatment, e.g., in unresponsive wakefulness or locked-in conditions  ... 
doi:10.1523/eneuro.0316-21.2022 pmid:35217544 pmcid:PMC8925650 fatcat:k7obyuqb5vcenossdwrlcbg4eu

Putting the "dynamic" back into dynamic functional connectivity

Stewart Heitmann, Michael Breakspear
2018 Network Neuroscience  
The code for simulating these dynamics is available in a freeware software platform, the Brain Dynamics Toolbox.  ...  Here, we review candidate scenarios for dynamic (functional) connectivity that arise in dynamical systems with two or more subsystems; generalized synchronization, itinerancy (a form of metastability),  ...  Neural states are not directly evident in empirical functional imaging data, which rather arise from noisy and indirect observation processes.  ... 
doi:10.1162/netn_a_00041 pmid:30215031 pmcid:PMC6130444 fatcat:uyitckwyubf73ocfeswa3r3bxa

A Framework to Control Functional Connectivity in the Human Brain [article]

Tommaso Menara, Giacomo Baggio, Danielle S. Bassett, Fabio Pasqualetti
2019 arXiv   pre-print
Functional connectivity, which measures the degree of correlation between neural activities in different brain regions, can be used to distinguish between healthy and certain diseased brain dynamics and  ...  and functional connectivity in the human brain.  ...  Simulation of functional connectivity The brain's neural activity is simulated through a network of coupled Kuramoto oscillators, where we randomly draw the natural frequencies of each oscillator from  ... 
arXiv:1904.08805v2 fatcat:prhwvgidwbh47nnrudosphq4w4

Front Matter: Volume 9417

2015 Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging  
SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model, with papers published first online and then in print.  ...  These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B ... 0Z, followed by 10-1Z, 20-2Z, etc. The CID Number appears on each page of the manuscript.  ...  functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering [9417-21] 9417 0N Comparing consistency of  ... 
doi:10.1117/12.2193783 dblp:conf/mibam/X15 fatcat:wxqfpa4ywnd3leqok5xkxipose

Functional connectivity dynamics: Modeling the switching behavior of the resting state

Enrique C.A. Hansen, Demian Battaglia, Andreas Spiegler, Gustavo Deco, Viktor K. Jirsa
2015 NeuroImage  
Simulations of whole-brain mean-field computational models with realistic connectivity determined by tractography studies enable us to reproduce with accuracy aspects of average FC in the resting state  ...  Brain dynamics Whole brain computational model Functional connectivity (FC) sheds light on the interactions between different brain regions.  ...  Acknowledgments The research reported herein was supported by the Brain Network Recovery Group through the James S.  ... 
doi:10.1016/j.neuroimage.2014.11.001 pmid:25462790 fatcat:g6smthb7kvd4vbeg4oea35dpcq

Model-free functional MRI analysis using cluster-based methods

Thomas D. Otto, Anke Meyer-Baese, Monica Hurdal, DeWitt Sumners, Dorothee Auer, Axel Wismuller, Kevin L. Priddy, Peter J. Angeline
2003 Intelligent Computing: Theory and Applications  
The algorithm supports spatial connectivity aiding in the identification of activation sites in functional brain imaging.  ...  The most important findings in this paper are: (1) the "neural gas" network outperforms the other two methods in terms of detecting small activation areas, and (2) computed reference functions reveal that  ...  In five subjects, five slices with 100 images (TR/TE=3000/6Omsec) were acquired with five periods of rest and five photic simulation periods with rest.  ... 
doi:10.1117/12.487254 fatcat:wawh4i6hqjhzjbz46zsg4j2jum

The functional neuroanatomy of actions

C. E. Watson, A. Chatterjee
2011 Neurology  
Extending research on the neural basis of semantics to include dynamic and relational aspects of the world gives us a more complete appreciation of the range of cognitive and communication impairments  ...  ) are taken as evidence for an amodal semantic system. 2 Semantic dementia is associated with progressive focal atrophy of bilateral anterior temporal cortex, 3 an area of the brain with many connections  ...  In this way, the neural basis of action concepts lies within a network of areas that are also implicated by the perception and execution of dynamic actions.  ... 
doi:10.1212/wnl.0b013e3182166e2c pmid:21502604 pmcid:PMC3087403 fatcat:xjigbezpfrautd4sps4dmcvfaa

An Evolutionary Game Theory Model of Spontaneous Brain Functioning

Dario Madeo, Agostino Talarico, Alvaro Pascual-Leone, Chiara Mocenni, Emiliano Santarnecchi
2017 Scientific Reports  
Acknowledgements The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of Harvard Catalyst, Harvard University and its affiliated academic  ...  health care centers, the National Institutes of Health, the Sidney R.  ...  Given EGN-B model's ability to capture and simulate spontaneous BOLD-related brain dynamics, we additionally tested the response to perturbation of two resting-state functional connectivity networks.  ... 
doi:10.1038/s41598-017-15865-w pmid:29167478 pmcid:PMC5700053 fatcat:flpvn2ck7ndatmsxmspaqjzqou

Putting the "dynamic" back into dynamic functional connectivity [article]

Stewart Heitmann, Michael Breakspear
2017 bioRxiv   pre-print
The code for simulating these dynamics is available in a freeware software platform, the Brain Dynamics Toolbox.  ...  Here, we review candidate scenarios for dynamic (functional) connectivity that arise in dynamical systems with two or more subsystems; generalized synchronization, itinerancy (a form of metastability),  ...  Neural states are not directly evident in empirical functional imaging data, which rather arise from noisy and indirect observation processes.  ... 
doi:10.1101/181313 fatcat:2coxkoj5ozcvnjoxbjtxas5m4u

Modularity and Self-Organized Functional Architectures in the Brain [chapter]

Laxmi Iyer, Ali A. Minai, Simona Doboli, Vincent R. Brown
2012 Unifying Themes in Complex Systems VII  
It is generally believed that cognition involves the self-organization of coherent dynamic functional networks across several brain regions in response to incoming stimulus and internal modulation.  ...  The dynamics of this network, resulting in the transient co-activation of concept groups, is seen as a search through the space of ideas, and attractor dynamics is used to "shape" this search.  ...  A neural system does this by associating context representations with specific patterns of module activation, forming functional networks.  ... 
doi:10.1007/978-3-642-18003-3_16 fatcat:33x6zpv72nh7tp4jla4ploe2ay
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