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Functional Brain Imaging: A Comprehensive Survey [article]

Saman Sarraf, Jian Sun
2016 arXiv   pre-print
It will allow the observation of neural activities in the brain simultaneously.  ...  We will concentrate on the most used techniques in functional imaging which are functional magnetic resonance imaging (fMRI) and functional optical imaging, which is one of novelties in this area of study  ...  Figure 5 : 5 Resting-state fMRI studies are focused on measuring the correlation between spontaneous activation patterns of brain regions [48] . Figure 6 : 6 Resting-state networks.  ... 
arXiv:1602.02225v4 fatcat:iuhpcih3yzaxpasyknymscjmua

Multiscale Entropy of Resting-State Functional Magnetic Resonance Imaging Differentiates Progressive Supranuclear Palsy and Multiple System Atrophy

Katsuhiko Kadota, Keiichi Onoda, Satoshi Abe, Chizuko Hamada, Shingo Mitaki, Hiroaki Oguro, Atsushi Nagai, Hajime Kitagaki, Shuhei Yamaguchi
2021 Life  
Resting-state functional magnetic resonance imaging (rs-fMRI) is used to study the fluctuations in blood oxygen level-dependent (BOLD) signals at rest, which provides evidence for aberrant brain functional  ...  networks in neurodegenerative diseases.  ...  Acknowledgments: We would like to thank the radiological technicians in the Shimane University Hospital for their support in the acquisition of the fMRI data.  ... 
doi:10.3390/life11121411 pmid:34947943 pmcid:PMC8707613 fatcat:otjmu46kjrgtbfypnociobyaxy

Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with The Virtual Brain [article]

Jil M. Meier, Dionysios Perdikis, André Blickensdörfer, Leon Stefanovski, Qin Liu, Oliver Maith, Helge Ü. Dinkelbach, Javier Baladron, Fred H. Hamker, Petra Ritter
2021 bioRxiv   pre-print
-We provide proof of concept by demonstrating that the implemented model shows biologically plausible dynamics during resting state including decreased thalamic activity in the virtual patient and during  ...  same time, altering the activity in distributed cortical regions with a pronounced effect in frontal regions.  ...  We are grateful to Julien Vitay for providing us with guidance concerning the usage of ANNarchy and being involved in initial discussions.  ... 
doi:10.1101/2021.05.05.442704 fatcat:sbhjxk37gjaflfznjkgbezaqiu

The Richness of Task-Evoked Hemodynamic Responses Defines a Pseudohierarchy of Functionally Meaningful Brain Networks

Pierre Orban, Julien Doyon, Michael Petrides, Maarten Mennes, Richard Hoge, Pierre Bellec
2014 Cerebral Cortex  
We observed a stable pseudohierarchy of taskevoked networks in the context of a delayed sequential motor task, where the fractionation of networks was driven by a gradient of involvement in motor sequence  ...  These findings demonstrate that subtle variations in brain responses associated with task performance are systematic enough across subjects to define a pseudohierarchy of task-evoked networks.  ...  The use of a motor task in the current study translated into a highly asymmetric sensorimotor task-evoked network, while the sensorimotor network derived from resting-state fMRI is generally symmetrical  ... 
doi:10.1093/cercor/bhu064 pmid:24729172 pmcid:PMC4537427 fatcat:oyz4dpucm5hgffufgkklulbuua

Evidence for Maintained Post-Encoding Memory Consolidation Across the Adult Lifespan Revealed by Network Complexity

McDonough, Letang, Erwin, Kana
2019 Entropy  
To capture post-encoding mechanisms, network complexity was estimated using functional magnetic resonance imaging (fMRI) during rest before and after encoding of picture pairs, and subtracted between the  ...  Network complexity was calculated by assessing the irregularity of brain signals within a network over time using multiscale entropy.  ...  The analyses here focus on the resting-state scans that occurred before and after the memory encoding phase. fMRI Scans The two resting-state scans consisted of 175 volumes over 5 min each.  ... 
doi:10.3390/e21111072 fatcat:2qkow6jls5gsjhjnoqgbtiqocm

Commentary: Amplification and Suppression of Distinct Brainwide Activity Patterns by Catecholamines

Vicente Medel, Joaquín Valdés, Samy Castro, Tomás Ossandón, Gonzalo Boncompte
2019 Frontiers in Behavioral Neuroscience  
For this, they analyze resting-state fMRI functional connectivity (FC) in healthy subjects under both placebo condition and a pharmacological increase of NE levels by a single dose of atomoxetine (ATX)  ...  This is of special interest, considering that these networks are obtained from the resting-state, which suggests that slow spontaneous fluctuations are modulated by NE even in the absence of task.  ...  However, and perhaps more importantly, recent evidence has shown that ATX has opposite effects in network integration in resting state compared to cognitive tasks, which supports a state-dependent modulation  ... 
doi:10.3389/fnbeh.2019.00217 pmid:31619976 pmcid:PMC6759507 fatcat:mwjloxhnq5b4rgchkg6s4fjtoq

Editorial: Advances in Multi-Scale Analysis of Brain Complexity

Albert C. Yang, Kay Jann, Christoph M. Michel, Danny J. J. Wang
2020 Frontiers in Neuroscience  
Niu et al. applied multiscale entropy analysis in resting-state fMRI data from the Alzheimer's disease neuroimaging initiative database.  ...  They found that complexity of resting-state fMRI signal within resting-state networks significantly distinguished ASD from TD, and the level of brain signal complexity was associated with ASD symptom severity  ... 
doi:10.3389/fnins.2020.00337 pmid:32351357 pmcid:PMC7175804 fatcat:e5vp2i7tgndvrno6byjaknholy

Hierarchical Graphical Model for Learning Functional Network Determinants [chapter]

Emanuele Aliverti, Laura Forastiere, Tullia Padellini, Sally Paganin, Ernst Wit
2018 Springer Proceedings in Mathematics & statistics  
authors are grateful to the organizing committee of StartUp Research Lucia Paci, Antonio Canale, Daniele Durante and Bruno Scarpa for giving them the opportunity to take on such an inspiring challenge in  ...  The authors also wish to thank Greg Kiar and Eric Bridgeford from NeuroData at Johns Hopkins University, for pre-processing and providing the raw DTI and R-fMRI, and the the other participants to Start-Up  ...  state fMRI [13] .  ... 
doi:10.1007/978-3-030-00039-4_2 fatcat:m3gqu55mzzca5hercf4fm6q4uu

Effects of Multi-Session Repetitive Transcranial Magnetic Stimulation on Motor Control and Spontaneous Brain Activity in Multiple System Atrophy: A Pilot Study

Zhu Liu, Huizi Ma, Victoria Poole, Xuemei Wang, Zhan Wang, Yaqin Yang, Lanxi Meng, Brad Manor, Junhong Zhou, Tao Feng
2018 Frontiers in Behavioral Neuroscience  
The "complexity" of resting-state brain activity fluctuations was quantified within seven wellknown functional cortical networks using multiscale entropy, a technique that estimates the degree of irregularity  ...  A trend toward an increase in resting-state complexity was observed within the motor network (t 8 = 1.86, p = 0.07).  ...  Moreover, such improvements appear to be linked to an increase in the physiologic complexity of resting-state brain activity dynamics, specifically within the motor network.  ... 
doi:10.3389/fnbeh.2018.00090 pmid:29867391 pmcid:PMC5954119 fatcat:bzo5s5p3bbdofidki337e3q3ba

Towards the virtual brain: network modeling of the intact and the damaged brain

V K Jirsa, O Sporns, M Breakspear, G Deco, A R McIntosh
2010 Archives Italiennes de Biologie  
In particular, spontaneous or resting state activity has been studied on various scales of spatial and temporal organization including those that relate to physiological, encephalographic and hemodynamic  ...  In particular, we discuss a unifying theoretical framework that explains how structured spatio-temporal resting state patterns emerge from noise driven explorations of unstable or stable oscillatory states  ...  The area in between these lines (traced out by three parallel lines) is the stable rest state of population activity, whereas dynamics outside the rest state are unstable.  ... 
pmid:21175008 fatcat:322g72b3qrceznsyr6g7bi5qq4

Towards Effective Classification of aMCI Based on Resting-State Multiscale Brain Features and Machine Learning Approaches

Chunting Cai, Jiqiang Yan, Yu Zhou, Wuyang Zheng, Chenhui Yang, Zhemin Zhang, Bokui Chen, Dan Hong, Yuanpeng Zhang
2021 Wireless Communications and Mobile Computing  
Nevertheless, intelligent diagnosis analysis is still confronted with the issue that it is challenging to extract effective features from the limited and high-dimensional data, particularly in resting-state  ...  And finally, multiscale features, including structural features and multiscale local features, are fused by concatenation method to further improve the detection performance of aMCI system.  ...  In practice, numerous studies have shown that resting-state functional magnetic resonance imaging (rs-fMRI), characterized by the indirect reflection of neural activity in the brain, is a noninvasive imaging  ... 
doi:10.1155/2021/9975237 fatcat:gof3eztcxfe4nepw3bzatonhbm

Alteration of Power Law Scaling of Spontaneous Brain Activity in Schizophrenia [article]

Yi-Ju Lee, Su-Yun Huang, Ching-Po Lin, Shih-Jen Tsai, Albert C. Yang
2020 bioRxiv   pre-print
Fourier transform was used to determine the power spectral density (PSD) of resting-state fMRI signal.  ...  In this research, we investigated the change of power-law characteristics in a large-scale resting-state fMRI data of schizophrenia (N = 200) and healthy participants (N = 200) derived from Taiwan Aging  ...  Yang et al. (2015) applied entropy analysis to resting-state fMRI data from patients with schizophrenia and documented that the decreased resting-state brain activity complexity can be characterized by  ... 
doi:10.1101/2020.02.13.946657 fatcat:ezsusovnarap5i46owgsoa4nui

Introduction: Multiscale Analysis - Modeling, Data, Networks, and Nonlinear Dynamics [chapter]

Misha Meyer Z. Pesenson
2013 Multiscale Analysis and Nonlinear Dynamics  
Multiscale Analysis -Modeling, Data, Networks, and Nonlinear Dynamics Misha (Meyer) Z. Pesenson " . . . the twin difficulties of scale and complexity." P. Anderson [1] " . . .  ...  I spelled out a moral for the general structure of scientific knowledge: that scale changes in a wide variety of instances can lead to qualitative change in the nature of phenomenon." P.  ...  connectivity (FC) patterns, and the so-called resting-state networks (RSNs).  ... 
doi:10.1002/9783527671632.ch01 fatcat:yqwacdtquzfl5c55rsjgb3tbcq

A Novel Brain Decoding Method: a Correlation Network Framework for Revealing Brain Connections [article]

Siyu Yu, Nanning Zheng, Yongqiang Ma, Hao Wu, Badong Chen
2017 arXiv   pre-print
Analyzing the correlations of collected data from human brain activities and representing activity patterns are two problems in brain decoding based on functional magnetic resonance imaging (fMRI) signals  ...  Brain decoding is a hot spot in cognitive science, which focuses on reconstructing perceptual images from brain activities.  ...  Complex brain activity states with limited data instances make it necessary to analyze the correlations between fMRI signals and visual stimuli.  ... 
arXiv:1712.01668v1 fatcat:pkmzwuuq7vgezdtlmpg4h6kohi

The Laplacian eigenmaps dimensionality reduction of fMRI data for discovering stimulus-induced changes in the resting-state brain activity [article]

Nikita Pospelov, Alina Tetereva, Olga Martynova, Konstantin Anokhin
2020 bioRxiv   pre-print
The resting brain at wakefulness is active even in the absence of goal-directed behavior or salient stimuli.  ...  However, patterns of this resting-state (RS) activity can undergo alterations following exposure to meaningful stimuli.  ...  Introduction The global brain dynamics generated at rest consists of many superimposed patterns of activity known as resting-state networks (RSNs).  ... 
doi:10.1101/2020.12.10.419861 fatcat:km3liserujcadjwrta7y2sf2pu
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