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Adolescent development of multiscale cortical wiring and functional connectivity in the human connectome [article]

Bo-yong Park, Casey Paquola, Richard A.I. Bethlehem, Oualid Benkarim, Bratislav Misic, Jonathan Smallwood, Edward T. Bullmore, Boris Bernhardt, Neuroscience in Psychiatry Network (NSPN) Consortium
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

Sara Lariviere, Reinder Vos de Wael, Casey Paquola, Seok-Jun Hong, Bratislav Misic, Neda Bernasconi, Andrea Bernasconi, Leonardo Bonilha, Boris Bernhardt
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

Philipp Haueis
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

H.-J. Park, K. Friston
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]

Donghuan Lu, Karteek Popuri, Weiguang Ding, Rakesh Balachandar and Mirza Faisal Beg
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

Yifei Weng, Sara Larivière, Lorenzo Caciagli, Reinder Vos de Wael, Raúl Rodríguez-Cruces, Jessica Royer, Qiang Xu, Neda Bernasconi, Andrea Bernasconi, B. T. Thomas Yeo, Guangming Lu, Zhiqiang Zhang (+1 others)
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]

Saman Sarraf, Jian Sun
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

Eun Soo Kim, Dae Young Yoon, Hye Jeong Kim, Kwanseop Lee, Yerim Kim, Jong Seok Bae, Ju-Hun Lee
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]

Amir Omidvarnia, Andrew Zalesky, Dimitri Van De Ville, Graeme D. Jackson, Mangor Pedersen
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]

Milou Straathof, Michel R.T. Sinke, Theresia J.M. Roelofs, Erwin L.A. Blezer, R. Angela Sarabdjitsingh, Annette van der Toorn, Oliver Schmitt, Willem M. Otte, Rick M. Dijkhuizen
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]

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  ...  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

Zhong-Ke Gao, Michael Small, Jürgen Kurths
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

Amir Omidvarnia, Andrew Zalesky, Sina Mansour, Dimitri Van De Ville, Graeme D. Jackson, Mangor Pedersen
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

Saman Sarraf, Jian Sun
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]

Xiu-Xia Xing, Chao Jiang, Xiao Gao, Yin-Shan Wang, Xi-Nian Zuo
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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