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Adding dynamics to the Human Connectome Project with MEG

L.J. Larson-Prior, R. Oostenveld, S. Della Penna, G. Michalareas, F. Prior, A. Babajani-Feremi, J.-M. Schoffelen, L. Marzetti, F. de Pasquale, F. Di Pompeo, J. Stout, M. Woolrich (+7 others)
2013 NeuroImage  
The Human Connectome Project (HCP) seeks to map the structural and functional connections between network elements in the human brain.  ...  Magnetoencephalography (MEG) provides a temporally rich source of information on brain network dynamics and represents one source of functional connectivity data to be provided by the HCP.  ...  While such a connectome could be conceived at multiple scales, the Human Connectome Project (HCP) has chosen to work at the macroscale level, in which distinct brain regions comprising large neuronal populations  ... 
doi:10.1016/j.neuroimage.2013.05.056 pmid:23702419 pmcid:PMC3784249 fatcat:2tj34hturfelthuhbcrxuivpfy

The structural connectome constrains fast brain dynamics

Pierpaolo Sorrentino, Caio Seguin, Rosaria Rucco, Marianna Liparoti, Emahnuel Troisi Lopez, Simona Bonavita, Mario Quarantelli, Giuseppe Sorrentino, Viktor Jirsa, Andrew Zalesky
2021 eLife  
Structural connections comprising the human connectome are hypothesized to impose constraints on the dynamics of this activity.  ...  Here, we use magnetoencephalography (MEG) to quantify the extent to which fast neural dynamics in the human brain are constrained by structural connections inferred from diffusion MRI tractography.  ...  mapping pipeline and181 diffusion MRI data from the Human Connectome Project (HCP).  ... 
doi:10.7554/elife.67400 pmid:34240702 pmcid:PMC8294846 fatcat:pwfwoosqgrdobfdbhpyzq244mi

Comparing MEG and high-density EEG for intrinsic functional connectivity mapping

N. Coquelet, X. De Tiège, F. Destoky, L. Roshchupkina, M. Bourguignon, S. Goldman, P. Peigneux, V. Wens
2020 NeuroImage  
This study therefore shows that the investigation of static rsFC based on the human brain connectome can be performed with scalp EEG in a similar way than with MEG, opening the avenue to widespread clinical  ...  At the connectome level, sensitivity was lower to frontal rsFC and higher to parieto-occipital rsFC with MEG compared to EEG.  ...  The authors would like to thank Maribel Pulgarin Montoya for her help in part of the simultaneous MEG and high-density EEG recordings.  ... 
doi:10.1016/j.neuroimage.2020.116556 pmid:31972279 fatcat:ufgrwpcoqrc7vg4ezgv3b56blm

Comparing MEG and high-density EEG for intrinsic functional connectivity mapping

Nicolas Coquelet, Xavier De Tiège, Florian Destoky, Liliia Roshchupkina, Mathieu Bourguignon, Serge Goldman, Philippe Peigneux, Vincent Wens
2019 Frontiers in Neuroscience  
This study therefore shows that the investigation of static rsFC based on the human brain connectome can be performed with scalp EEG in a similar way than with MEG, opening the avenue to widespread clinical  ...  At the connectome level, sensitivity was lower to frontal rsFC and higher to parieto-occipital rsFC with MEG compared to EEG.  ...  The authors would like to thank Maribel Pulgarin Montoya for her help in part of the simultaneous MEG and high-density EEG recordings.  ... 
doi:10.3389/conf.fnins.2019.96.00026 fatcat:jmfjh3ss5zayfib5jnt4v5c6ye

Synchronization in the connectome: Metastable oscillatory modes emerge from interactions in the brain spacetime network [article]

Joana Cabral, Francesca Castaldo, Jakub Vohryzek, Vladimir Litvak, Christian Bick, Renaud Lambiotte, Karl Friston, Morten L Kringelbach, Gustavo Deco
2022 bioRxiv   pre-print
A rich repertoire of oscillatory signals is detected from human brains with electro- and magnetoencephalography (EEG/MEG).  ...  We test this hypothesis using a phenomenological network model to simulate interactions between neural mass potentials (resonating at 40Hz) in the structural connectome.  ...  with eyes open from the open-source database of the Human connectome Project.  ... 
doi:10.1101/2022.01.06.475196 fatcat:jdb24qiobjb43fzlwzwl7h2nei

Individual variability in the human connectome maintains selective cross-modal consistency and shares microstructural signatures [article]

Esin Karahan, Luke Tait, Ruoguang Si, Aysegul Ozkan, Maciek Szul, Jiaxiang Zhang
2021 bioRxiv   pre-print
Here, by using multimodal imaging data including diffusion MRI, functional MRI and MEG, we show the consistency of interindividual variation of connectivity across modalities.  ...  Variability in connectivity is associated with cortical myelin content and microstructural properties of connections.  ...  Parcellation Multimodal Human Connectome Project based (HCP-MMP) atlas was used for the parcellation of the brain surface into 360 regions [11] .  ... 
doi:10.1101/2021.04.01.438129 fatcat:o2qdo7lqtfbhdcv7vppknpzwu4

The Connectome Visualization Utility: Software for Visualization of Human Brain Networks

Roan A. LaPlante, Linda Douw, Wei Tang, Steven M. Stufflebeam, Daniele Marinazzo
2014 PLoS ONE  
The current availability of software packages to analyze the human connectome is limited.  ...  In analysis of the human connectome, the connectivity of the human brain is collected from multiple imaging modalities and analyzed using graph theoretical techniques.  ...  Tested the software: RAL LD WT SMS.  ... 
doi:10.1371/journal.pone.0113838 pmid:25437873 pmcid:PMC4250035 fatcat:jezn7ipqk5gq3g7pv5i7xvw6tm

Intrinsic connectome organization across temporal scales: New insights from cross-modal approaches

Sepideh Sadaghiani, Jonathan Wirsich
2019 Network Neuroscience  
Here, we review studies of intrinsic connectivity and its whole-brain organization in EEG, MEG and intracranial electrophysiology with a particular focus on direct comparisons to connectome studies in  ...  The role of this whole-brain organization in fast oscillation-based connectivity as measured e.g. by electroencephalography (EEG) and magnetoencephalography (MEG) is only beginning to emerge.  ...  The ability to study the whole-brain connectome in EEG is especially useful for concurrent acquisition with fMRI currently not possible for MEG (see section 3c), adding to EEG's advantage in terms of low  ... 
doi:10.1162/netn_a_00114 pmid:32043042 pmcid:PMC7006873 fatcat:v7bmzpajqvb7hh4lgkczluj3hi

A Parsimonious Granger Causality Formulation for Capturing Arbitrarily Long Multivariate Associations

Andrea Duggento, Gaetano Valenza, Luca Passamonti, Salvatore Nigro, Maria Giovanna Bianco, Maria Guerrisi, Riccardo Barbieri, Nicola Toschi
2019 Entropy  
Additionally, we apply our framework to studying the directed human brain connectome through MEG data from 89 subjects drawn from the Human Connectome Project (HCP) database, showing that it is able to  ...  High-frequency neuroelectric signals like electroencephalography (EEG) or magnetoencephalography (MEG) provide a unique opportunity to infer causal relationships between local activity of brain areas.  ...  Results of employing LGC to quantify the directed, magnetoencephalography (MEG)-based connectome in the high quality Human Connectome Project (HCP) sample.  ... 
doi:10.3390/e21070629 pmid:33267342 fatcat:fmeoep7kcrc7pkzrmhxmiboe6y

Connectomics in Brain Aging and Dementia – The Background and Design of a Study of a Connectome Related to Human Disease

Ann D. Cohen, Ricardo Bruña, Yue-Fang Chang, Yu Cheng, Jack Doman, Ted Huppert, Tae Kim, Fernando Maestu, Rebecca E. Roush, Beth E. Snitz, James T. Becker
2021 Frontiers in Aging Neuroscience  
The natural history of Alzheimer's Disease (AD) includes significant alterations in the human connectome, and this disconnection results in the dementia of AD.  ...  This work is being completed under the auspices of the Human Connectome Project (HCP). We have achieved an equal representation of Black individuals (vs. White individuals) and enrolled 60% Women.  ...  In 2016 the University of Pittsburgh was awarded funds by the National Institute on Aging under the Connectomes Related to Human Disease 1 of the Human Connectome Project. 2 Our project is organized around  ... 
doi:10.3389/fnagi.2021.669490 pmid:34690734 pmcid:PMC8530182 fatcat:s7qjqthhrfdqrgizoppl35ed5e

The Human Connectome Project: A data acquisition perspective

D.C. Van Essen, K. Ugurbil, E. Auerbach, D. Barch, T.E.J. Behrens, R. Bucholz, A. Chang, L. Chen, M. Corbetta, S.W. Curtiss, S. Della Penna, D. Feinberg (+15 others)
2012 NeuroImage  
The Human Connectome Project (HCP) is an ambitious 5-year effort to characterize brain connectivity and function and their variability in healthy adults.  ...  and electroencephalography (MEG/EEG).  ...  Funded in part by the Human Connectome Project (1U54MH091657) from the 16 NIH Institutes and Centers that Support the NIH Blueprint for Neuroscience Research, and by the McDonnell Center for Systems Neuroscience  ... 
doi:10.1016/j.neuroimage.2012.02.018 pmid:22366334 pmcid:PMC3606888 fatcat:firqe2mmjjdj7dhjbrbwytpbsa

Informatics and Data Mining Tools and Strategies for the Human Connectome Project

Daniel S. Marcus, John Harwell, Timothy Olsen, Michael Hodge, Matthew F. Glasser, Fred Prior, Mark Jenkinson, Timothy Laumann, Sandra W. Curtiss, David C. Van Essen
2011 Frontiers in Neuroinformatics  
The Human Connectome Project (HCP) is a major endeavor that will acquire and analyze connectivity data plus other neuroimaging, behavioral, and genetic data from 1,200 healthy adults.  ...  Primary and processed data generated by the HCP will be openly shared with the scientific community, and the informatics platform will be available under an open source license.  ...  The NIH recently funded two consortia under the Human Connectome Project (HCP) 1 .  ... 
doi:10.3389/fninf.2011.00004 pmid:21743807 pmcid:PMC3127103 fatcat:y464svjvjnc3hnbladrbyjeery

Computational brain connectivity mapping: A core health and scientific challenge

Rachid Deriche
2016 Medical Image Analysis  
Thus leading to an added clinical value for high impact diseases with new perspectives in computational neuro-imaging and cognitive neuroscience.  ...  One third of the burden of all the diseases in Europe is due to problems caused by diseases affecting brain.  ...  ., 2013) , which has been used in the HCP (Human Connectome Project).  ... 
doi:10.1016/j.media.2016.06.003 pmid:27338172 fatcat:auo2ug5ixrhg5byaohbty54may

Measuring functional connectivity with wearable MEG [article]

Elena Boto, Ryan M Hill, Molly Rea, Niall Holmes, Zelekha A Seedat, James Leggett, Vishal Shah, James Osborne, Richard Bowtell, Matthew J Brookes
2020 biorxiv/medrxiv   pre-print
However, OPM-MEG is still a nascent technology and, to realise its potential, it must be shown to facilitate key neuroscientific measurements, such as the characterisation of human brain networks.  ...  Here, we aimed to show that a wearable 50-channel OPM-MEG system enables characterisation of the electrophysiological connectome.  ...  These data therefore show that OPM-MEG, even with a modest number of sensors, is able to effectively reproduce the human connectome measurable by cryogenic MEG.  ... 
doi:10.1101/2020.09.25.313502 fatcat:il4bbac5t5ajhhsf4l7jkritw4

The Importance of Cerebellar Connectivity on Simulated Brain Dynamics

Fulvia Palesi, Roberta Maria Lorenzi, Claudia Casellato, Petra Ritter, Viktor Jirsa, Claudia A.M. Gandini Wheeler-Kingshott, Egidio D'Angelo
2020 Frontiers in Cellular Neuroscience  
Indeed, the matching between the empirical and simulated functional connectome was significantly improved when including the cerebro-cerebellar loops.  ...  The Virtual Brain (TVB) is an advanced data-driven model allowing to simulate brain dynamics starting from individual subjects' structural and functional connectivity obtained, for example, from magnetic  ...  MATERIALS AND METHODS In this work TVB was used to simulate brain dynamics based on a Human Connectome Project (HCP) MRI dataset including DW and rs-fMRI data.  ... 
doi:10.3389/fncel.2020.00240 pmid:32848628 pmcid:PMC7411185 fatcat:zx2nfux6v5g3tndeljm7iydebm
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