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Adolescent development of multiscale cortical wiring and functional connectivity in the human connectome
[article]
2021
bioRxiv
pre-print
Conversely, resting-state functional MRI analysis in the same subjects indicated an increasing segregation of sensory and transmodal systems during adolescence, with age-related reductions in their functional ...
Here, we analyzed structural and functional brain network development in an accelerated longitudinal cohort spanning 14-25 years (n = 199). ...
These findings were recently extended to human neuroanatomy, by relating microstructural similarity to diffusion MRI-derived streamline strength (56, 58) and to resting-state functional connectivity ...
doi:10.1101/2021.08.16.456455
fatcat:w5yswllbczfirjbp4b67pdb2km
Microstructure-informed connectomics: enriching large-scale descriptions of healthy and diseased brains
2018
Brain Connectivity
Rapid advances in neuroimaging and network science have produced powerful tools and measures to appreciate human brain organization at multiple spatial and temporal scales. ...
Such features include MRI markers of tissue microstructure, local functional properties, as well as information from nonimaging domains, including cellular, genetic, or chemical data. ...
Leveraging the Human Connectome Project data set, a recent study integrated spatial patterns in resting-state connectivity, task-based activations, image intensity, and cortical thickness measurements ...
doi:10.1089/brain.2018.0587
pmid:30079754
pmcid:PMC6444904
fatcat:4lcxp2axmzfpdhuhvmkcvya3fe
Multiscale modeling of cortical gradients: the role of mesoscale circuits for linking macro- and microscale gradients of cortical organization and hierarchical information processing
2021
NeuroImage
In this paper, I similarly argue that multiscale modeling of cortical gradients needs to take organization of mesoscale circuits into account if it affects structure-function relation these models describe ...
In branches of physics and biology where multiscale modeling techniques are used, the simple averaging of microscale details can introduce errors in macroscale modeling if it ignores structures at the ...
Special thanks to Juan Pablo Bermudez, and to Daniel Margulies for encouraging me to write the paper in the first place. This project was supported by a stipend of ...
doi:10.1016/j.neuroimage.2021.117846
pmid:33636345
fatcat:4jrn4czw3zgd5k64zea6axxj3a
Structural and Functional Brain Networks: From Connections to Cognition
2013
Science
Resting-state functional network analysis reveals a hierarchical modularity in brain networks (Fig. 2D ) that is consistent with the multiscale nature of brain anatomy from the microscopic to the macroscopic ...
Simulation studies of the human brain network show that structural connectivity can predict resting-state functional connectivity (29) . ...
doi:10.1126/science.1238411
pmid:24179229
fatcat:j55onzaxp5fmnosmgqgyx3jbh4
Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images
[article]
2017
arXiv
pre-print
Neuroimaging scans acquired from MRI and metabolism images obtained by FDG-PET provide in-vivo view into the structure and function (glucose metabolism) of the living brain. ...
Our novel approach utilizing a multimodal and multiscale deep neural network was found to deliver a 85.68\% accuracy in the prediction of subjects within 3 years to conversion. ...
MRI offers structural details such as texture, thickness, density and shape of various brain regions, while FDG-PET measures the resting state glucose metabolism 7 , reflecting the functional activity ...
arXiv:1710.04782v1
fatcat:v2fuxnlx6bc6hnptjilx3x3flm
Macroscale and microcircuit dissociation of focal and generalized human epilepsies
2020
Communications Biology
Our multiscale analyses differentiate human focal and generalized epilepsy at the systems-level, showing paradoxically more severe microcircuit and macroscale imbalances in the former. ...
Structural and functional network profiling highlighted extensive atrophy, microstructural disruptions and decreased thalamo-cortical connectivity in TLE, while GE showed only subtle structural anomalies ...
networks using seed-based resting-state functional connectivity analysis (Fig. 3) . ...
doi:10.1038/s42003-020-0958-5
pmid:32424317
fatcat:mwefwe2zsrftvniljl3lmx57mi
Functional Brain Imaging: A Comprehensive Survey
[article]
2016
arXiv
pre-print
Functional information of the human brain would definitely complement structural information, helping to have a better understanding of what is happening in the brain. ...
Functional brain imaging allows measuring dynamic functionality in all brain regions. It is broadly used in clinical cognitive neuroscience as, well as in research. ...
To summarize, "Functional connections of resting-state networks is related to structural white matter connections suggesting a structural core of functional connectivity networks in the brain" [48] . ...
arXiv:1602.02225v4
fatcat:iuhpcih3yzaxpasyknymscjmua
Supplemental material for The most mentioned neuroimaging articles in online media: a bibliometric analysis of the top 100 articles with the highest Altmetric Attention Scores
2019
Figshare
Yoon, Hye Jeong Kim, Kwanseop Lee, Yerim Kim, Jong Seok Bae and Ju-Hun Lee in Acta Radiologica ...
Supplemental Material for The most mentioned neuroimaging articles in online media: a bibliometric analysis of the top 100 articles with the highest Altmetric Attention Scores by Eun Soo Kim, Dae Young ...
Multiple sclerosis: changes in thalamic resting-state functional connectivity
induced by a home-based cognitive rehabilitation program. ...
doi:10.25384/sage.8068151
fatcat:7mhw3vsp2rd2vlqxiro4kp66ry
Temporal complexity of fMRI is reproducible and correlates with higher order cognition
[article]
2019
biorxiv/medrxiv
pre-print
AbstractIn 2014, McDonough and Nashiro [1] derived multiscale entropy –a marker of signal complexity– from resting state functional MRI data (rsfMRI), and found that functional brain networks displayed ...
We also performed a test-retest analysis on the data of four recording sessions in 10 previously reported resting state networks (RSNs). ...
Anatomically distinct, but functionally connected regions of the cortex that simultaneously fluctuate over time are referred to as resting state networks functionality of RSNs contributes to a range of ...
doi:10.1101/770826
fatcat:tnhtixh6yba7hgav66v7ftlgii
Distinct structure-function relationships across cortical regions and connectivity scales in the rat brain
[article]
2019
bioRxiv
pre-print
Locally, strong functional connectivity was found in two well-known resting-state networks: the sensorimotor and default mode network. ...
We integrated high-field resting-state fMRI-based functional connectivity with high-resolution macro-scale diffusion-based and meso-scale neuronal tracer-based structural connectivity, to obtain an accurate ...
Decoding Lifespan Changes of the Human Brain Using
Resting-State Functional Connectivity MRI. PLoS One 7, e44530 (2012).
23.
Thomas, C. et al. ...
doi:10.1101/742833
fatcat:rwquezu4urh2jlutlwe76ehv5i
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]
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 ...
model for subcortical regions in and around the basal ganglia and interface it with mean-field network models for each cortical region. ...
Acknowledgments PR acknowledges support by EU H2020 Virtual Brain Cloud 826421, Human Brain Project SGA2 785907; Human Brain Project SGA3 945539, ERC Consolidator 683049; German Research Foundation SFB ...
doi:10.1101/2021.05.05.442704
fatcat:sbhjxk37gjaflfznjkgbezaqiu
Complex network analysis of time series
2016
Europhysics letters
[90] explored abnormal functional magnetic resonance imaging (fMRI) resting-state dynamics, functional connectivity, and weighted functional networks, in a sample of patients with severe Alzheimer's ...
Using simultaneous EEG/functional MRI and functional MRI/DTI data, Zhang et al. ...
doi:10.1209/0295-5075/116/50001
fatcat:ihiymauxknbdpa6u2q6gql3wi4
Temporal complexity of fMRI is reproducible and correlates with higher order cognition
2021
NeuroImage
It has been hypothesized that resting state networks (RSNs) likely display unique temporal complexity fingerprints, quantified by their multi-scale entropy patterns McDonough and Nashiro (2014). ...
Nevertheless, a limitation of McDonough and Nashiro (2014) was that resting state functional magnetic resonance imaging (rsfMRI) data from only 20 healthy individuals was used for the analysis. ...
Anatomically distinct, but functionally connected regions of the cortex that simultaneously fluctuate over time are referred to as resting state networks functionality of RSNs contributes to a range of ...
doi:10.1016/j.neuroimage.2021.117760
pmid:33486124
fatcat:p6bfq2n7g5dtzfwfru3bjyikke
ADVANCES IN FUNCTIONAL BRAIN IMAGING: A COMPREHENSIVE SURVEY FOR ENGINEERS AND PHYSICAL SCIENTISTS
2016
International Journal of Advanced Research
Figure 10 : 10 -Resting-state networks. A number of group resting-state studies have consistently reported the formation of functionally. ...
To summarize, -Functional connections of resting-state networks is related to structural white matter connections suggesting a structural core of functional connectivity networks in the brain‖ [31] . ...
doi:10.21474/ijar01/1259
fatcat:fgslra5dc5h2rmmlvmkoaoy6de
FMRI multi-scale cortical spontaneous activity: 7T vs. 3T
[article]
2021
bioRxiv
pre-print
Specifically, the resting-state functional MRI signals acquired under the HCP 3 tesla (T) and 7T magnet protocols were measured by computational methods at multiple spatial scales across the cerebral cortex ...
, and discussed about the statistical implications for experimental design using resting-state fMRI. ...
at a resting-state (rfMRI) [6, 7, 17, 35] . ...
doi:10.1101/2021.06.09.447694
fatcat:vkmzypbkkfaobcebtb2istxhy4
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