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Functional Covariance Networks: Obtaining Resting-State Networks from Intersubject Variability
2012
Brain Connectivity
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Several of the components determined from resting-state parameters in this manner correlate strongly with known resting-state functional maps, and we term these "functional covariance networks". ...
In this study, we investigate a new approach for examining the separation of the brain into resting-state networks (RSNs) on a group level using resting-state parameters (amplitude of low-frequency fluctuation ...
Physiological connection In this study, we have obtained several independent networks from the intersubject covariance of rs-fMRI parameters. ...
doi:10.1089/brain.2012.0095
pmid:22765879
pmcid:PMC3621593
fatcat:2yz4ooplgve3vgsmitjxvubsfu
Partial covariance based functional connectivity computation using Ledoit–Wolf covariance regularization
2015
NeuroImage
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This phenomenon commonly is referred to as functional connectivity; the associated topographies define resting-state networks (RSNs). ...
Intersubject Variability as a Funciton of Brain State To quantify the level of inter-subject variability we calculated the distance between a single subject's full/partial correlation matrix in the EO ...
doi:10.1016/j.neuroimage.2015.07.039
pmid:26208872
pmcid:PMC4604032
fatcat:ktk4nnaynreklkbvp5cynlp6s4
Function–structure associations of the brain: Evidence from multimodal connectivity and covariance studies
2014
NeuroImage
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To examine the function-structure associations of the brain in a more comprehensive and integrated manner, we reviewed a number of multimodal studies that combined two or more functional (fMRI and/or EEG ...
Multimodal brain studies can be used to understand the complex interplay of anatomical, functional and physiological brain alterations or development, and to better comprehend the biological significance ...
However, only few studies examined topological properties of brain networks from concurrently obtained multiple modalities. ...
doi:10.1016/j.neuroimage.2013.09.044
pmid:24084066
pmcid:PMC3969780
fatcat:tngvfiyrdreyvmcg55qyqs6o6u
Metabolic Brain Covariant Networks as Revealed by FDG-PET with Reference to Resting-State fMRI Networks
2012
Brain Connectivity
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time-series correlations using resting-state fMRI from an independent sample. ...
In contrast, homotopic intersubject metabolic covariances observed using PET were comparable to the corresponding fMRI resting-state time-series correlations. ...
ADNI is funded by the NIA, the NIBIB, and through generous contributions from the following:
Author Disclosure Statement No competing financial interests exist.
METABOLIC BRAIN NETWORKS ...
doi:10.1089/brain.2012.0086
pmid:23025619
pmcid:PMC3621675
fatcat:pgbx2evt45bzjk6mnv2x45vdje
Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approach
2021
Network Neuroscience
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Among distinct sources of intersubject variability, the long-term sources include functional patterns that emerge from genetic factors. ...
These characteristics posit the functional connectome not only as an individual marker but also as a powerful discriminatory measure characterized by high intersubject variability. ...
of functional networks derived from the same individual-in different resting-state sessions-and unrelated individuals. ...
doi:10.1162/netn_a_00189
pmid:34189376
pmcid:PMC8233119
fatcat:n5bpfimezjbirbtxo7kspsuqiu
Identifying Shared Brain Networks in Individuals by Decoupling Functional and Anatomical Variability
2015
Cerebral Cortex
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Using resting-state functional connectivity, we parcellated functional systems in an "embedding space" based on functional characteristics common across the population, while simultaneously accounting ...
The functional connectivity patterns observed in resting-state data were mapped in the embedding space and the maps were aligned across individuals. ...
Dissociating Multiple Sources of Variability in Resting-State fMRI Data Intersubject variability observed in resting-state fMRI data is a composition of multiple factors. ...
doi:10.1093/cercor/bhv189
pmid:26334050
pmcid:PMC5027997
fatcat:q7r3o2ndbbadxk26nxvw7puh3e
Constrained Source-Based Morphometry Identifies Structural Networks Associated with Default Mode Network
2012
Brain Connectivity
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The approach was then applied to structural magnetic resonance imaging and diffusion tensor imaging data obtained from 102 healthy controls. ...
associated with the functional default mode network (DMN). ...
regions forming resting-state networks (van den Heuvel et al., 2009a) . ...
doi:10.1089/brain.2011.0026
pmid:22468608
pmcid:PMC3621809
fatcat:vy34oyzbjfcfrmy6awy3adidmm
Abnormal Metabolic Network Activity in Parkinson'S Disease: Test—Retest Reproducibility
2006
Journal of Cerebral Blood Flow and Metabolism
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These findings suggest that the PDRP network is a reproducible and stable descriptor of regional functional abnormalities in parkinsonism. ...
tomography (PET) scans from PD patients and healthy volunteers. ...
Image acquisition was performed in a resting state in a quiet and dimly lit room. Blood flow scans were obtained over 90 secs after a bolus injection of 10 mCi H 2 15 O. ...
doi:10.1038/sj.jcbfm.9600358
pmid:16804550
pmcid:PMC4455600
fatcat:eatiqi55zvdd3iqh2kfedktotq
Relationships between cortical myeloarchitecture and electrophysiological networks
2016
Proceedings of the National Academy of Sciences of the United States of America
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Using ultra-high field MRI and the principle of structural covariance, we derive a structural network showing how myelin density differs across cortical regions and how separate regions can exhibit similar ...
Our study sheds light on the way in which cortical microstructure supports functional networks. ...
Resting-State MEG: Connectivity Analysis. ...
doi:10.1073/pnas.1608587113
pmid:27830650
pmcid:PMC5127325
fatcat:tss44bits5gyfoxtezah3nua4i
Community detection in weighted brain connectivity networks beyond the resolution limit
[article]
2016
arXiv
pre-print
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Finally, we apply our novel approach to functional connectivity networks from resting state fMRI experimenta, and demonstrate a heterogeneous modular organization, with a wide distribution of clusters ...
variability such as those observed in fMRI data. ...
This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 668863. ...
arXiv:1609.04316v1
fatcat:deau2rf6ezcz5fcyn2yzi7g5di
Stereoscopic depth increases intersubject correlations of brain networks
2014
NeuroImage
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On the neural level, we observe significantly higher intersubject correlations of cortical networks when subjects are watching 3D movies relative to the same movies in 2D. ...
We demonstrate that increases in intersubject correlations of brain networks can serve as neurophysiological marker for stereoscopic depth and for the strength of the viewing experience. ...
We can obtain the time course, also called canonical component, of brain network i for subject s by computing w si ⊤ X s . ...
doi:10.1016/j.neuroimage.2014.06.008
pmid:24945664
fatcat:rtbe6h2iqrfj5gejuav6qjbswi
Changes in resting-state functionally connected parietofrontal networks after videogame practice
2012
Human Brain Mapping
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Here, we analyze changes in resting-state functional connectivity after videogame practice applying a test-retest design. ...
Supporting the main hypothesis, the key finding reveals an increased correlated activity during rest in certain predefined resting state networks (albeit using uncorrected statistics) attributable to practice ...
Synchronized blood flow fluctuations, or functionally connected networks, are spatially consistent across time (testretest reliability), subjects, resting-state conditions, conscious states, and analysis ...
doi:10.1002/hbm.22129
pmid:22807280
fatcat:cptqcbw5sbhbjnwe4xumd2fgc4
Learning population and subject-specific brain connectivity networks via Mixed Neighborhood Selection
[article]
2015
arXiv
pre-print
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The proposed method is validated empirically through a series of simulations and applied to resting state data for healthy subjects taken from the ABIDE consortium. ...
A third objective that is often overlooked involves quantifying inter-subject variability and thus identifying regions or sub-networks that demonstrate heterogeneity across subjects. ...
This can be downloaded from the Comprehensive R Archive Network (CRAN). MNS was applied to resting-state fMRI data taken from the ABIDE consortium [Di Martino et al., 2014] . ...
arXiv:1512.01947v1
fatcat:tyn2m7bb6jhfjcf4fmd3dwmygi
Community detection in weighted brain connectivity networks beyond the resolution limit
2017
NeuroImage
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We apply our novel approach to functional connectivity networks from resting state fMRI experiments, and demonstrate a heterogeneous modular organization, with a wide distribution of clusters spanning ...
variability such as those observed in fMRI data. ...
This project has received funding from the European Union's Horizon 2020 Research and Innovation Program under grant agreement No 668863. ...
doi:10.1016/j.neuroimage.2016.11.026
pmid:27865921
pmcid:PMC5312822
fatcat:ugftqbh2dfc2bdsizdhaqhoos4
Sevoflurane Alters Spatiotemporal Functional Connectivity Motifs That Link Resting-State Networks during Wakefulness
2016
Frontiers in Neural Circuits
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Correlation analysis of blood-oxygen-level dependent (BOLD) functional magnetic resonance imaging (fMRI) allows segmentation of the brain into resting-state networks (RSNs), with functional connectivity ...
referring to the covarying activity that suggests shared functional specialization. ...
Our results indicate that the transition from 0 to 1.2% sevoflurane is associated with altered interaction between resting state networks. ...
doi:10.3389/fncir.2016.00107
pmid:28082871
pmcid:PMC5187351
fatcat:jxkpzq4dbzevhb35njjfckwzr4
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