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Frequency-dependent functional connectivity within resting-state networks: An atlas-based MEG beamformer solution

Arjan Hillebrand, Gareth R. Barnes, Johannes L. Bosboom, Henk W. Berendse, Cornelis J. Stam
2012 NeuroImage  
Our results reveal for the first time, using an analysis framework that enables the reliable characterisation of resting-state dynamics in the human brain, how resting-state networks of functionally connected  ...  Here we propose an analysis framework to reliably determine functional connectivity that is based around two main ideas: (i) functional connectivity is computed for a set of atlas-based ROIs in anatomical  ...  Applying this approach to resting-state MEG data in healthy controls reveals clearly distinct frequency-band dependent patterns of resting-state functional connectivity.  ... 
doi:10.1016/j.neuroimage.2011.11.005 pmid:22122866 pmcid:PMC3382730 fatcat:znt5a33ljje5jo7vua4qy27ara

Mapping electromagnetic networks to haemodynamic networks in the human brain [article]

Golia Shafiei, Sylvain Baillet, Bratislav Misic
2021 bioRxiv   pre-print
Here we map electromagnetic networks (measured using magnetoencephalography; MEG) to haemodynamic networks (measured using functional magnetic resonance imaging; fMRI).  ...  Collectively, these findings demonstrate highly organized but only partly overlapping patterns of connectivity in MEG and fMRI functional networks, opening fundamentally new avenues for studying the relationship  ...  Dominance analysis Dominance Analysis was used to quantify the distinct contributions of resting state MEG connectivity at different frequency bands to the prediction of resting state fMRI connectivity  ... 
doi:10.1101/2021.09.07.458941 fatcat:ldjvwgrrxjbptfst3nld7owln4

Development of human electrophysiological brain networks

Paul M. Briley, Elizabeth B. Liddle, Madeleine J. Groom, Helen J. F. Smith, Peter G. Morris, Giles L. Colclough, Matthew J. Brookes, Peter F. Liddle
2018 Journal of Neurophysiology  
Using magnetoencephalography (MEG) recordings of 48 participants (aged 9–25 yr) at rest, we find that beta-band functional connectivity within the FPN, SN, and DMN continues to increase through adolescence  ...  NEW & NOTEWORTHY Using magnetoencephalography to assess beta frequency oscillations, we show that functional connectivity within higher-order cognitive networks increases from childhood, reaching adult  ...  This finding suggests that the connections within the structural core may serve to integrate the functions of distinguishable resting-state networks.  ... 
doi:10.1152/jn.00293.2018 pmid:30354795 pmcid:PMC6337030 fatcat:fcgszc2ldndk7d2o3wiontc5ne

Direction of information flow in large-scale resting-state networks is frequency-dependent

Arjan Hillebrand, Prejaas Tewarie, Edwin van Dellen, Meichen Yu, Ellen W. S. Carbo, Linda Douw, Alida A. Gouw, Elisabeth C. W. van Straaten, Cornelis J. Stam
2016 Proceedings of the National Academy of Sciences of the United States of America  
| atlas-based beamforming  ...  to integrative frontal areas in the higher-frequency bands, which is mirrored by a theta band anterior-to-posterior flow. information flow | phase transfer entropy | resting-state networks | magnetoencephalography  ...  Results Time series of neuronal activity were reconstructed by applying an atlas-based beamforming approach to eyes-closed resting-state MEG data from a cohort of 67 healthy subjects.  ... 
doi:10.1073/pnas.1515657113 pmid:27001844 pmcid:PMC4833227 fatcat:uroxhyoif5eypjewbjtlqdkto4

Reliability of Static and Dynamic Network Metrics in the Resting-State: A MEG-beamformed Connectivity Analysis [article]

Stavros I Dimitriadis, Bethany Routley, David E Linden, Krish D Singh
2018 biorxiv/medrxiv   pre-print
The coordinated activity of the resting state can be explored via magnetoencephalography (MEG) by studying frequency-dependent functional brain networks at the source level.  ...  This analysis encourages the analysis of MEG resting-state via DFC.  ...  Beamforming An atlas-based beamformer approach was adopted to project MEG data from the sensor level to source space independently for each brain rhythm.  ... 
doi:10.1101/358192 fatcat:xcvdd5kmkbcajptxxtnaylsnpe

Reliability of Static and Dynamic Network Metrics in the Resting-State: A MEG-Beamformed Connectivity Analysis

Stavros I. Dimitriadis, Bethany Routley, David E. Linden, Krish D. Singh
2018 Frontiers in Neuroscience  
The coordinated activity of the resting state can be explored via magnetoencephalography (MEG) by studying frequency-dependent functional brain networks at the source level.  ...  This study encourages the analysis of MEG resting-state via DFC.  ...  Beamforming An atlas-based beamformer approach was adopted to project MEG data from the sensor level to source space independently for each brain rhythm.  ... 
doi:10.3389/fnins.2018.00506 pmid:30127710 pmcid:PMC6088195 fatcat:mpxnhkrhnfe75h3bd67zfukec4

Relationships between cortical myeloarchitecture and electrophysiological networks

Benjamin A. E. Hunt, Prejaas K. Tewarie, Olivier E. Mougin, Nicolas Geades, Derek K. Jones, Krish D. Singh, Peter G. Morris, Penny A. Gowland, Matthew J. Brookes
2016 Proceedings of the National Academy of Sciences of the United States of America  
However, how functional connectivities underlying such networks are supported by cortical microstructure remains poorly understood.  ...  Finally, we show that a significant relationship exists between our functional and structural networks; this relationship differs as a function of neural oscillatory frequency and becomes stronger when  ...  Hillebrand A, Barnes GR, Bosboom JL, Berendse HW, Stam CJ (2012) Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution.  ... 
doi:10.1073/pnas.1608587113 pmid:27830650 pmcid:PMC5127325 fatcat:tss44bits5gyfoxtezah3nua4i

Cognitive and Clinical Dysfunction, Altered MEG Resting-State Networks and Thalamic Atrophy in Multiple Sclerosis

Prejaas Tewarie, Menno M. Schoonheim, Cornelis J. Stam, Marieke L. van der Meer, Bob W. van Dijk, Frederik Barkhof, Chris H. Polman, Arjan Hillebrand, Gareth Robert Barnes
2013 PLoS ONE  
Resting-state magnetoencephalography recordings from 21 MS patients and 17 gender-and age matched controls were projected onto atlas-based regions-of-interest using beamforming.  ...  Average functional connectivity was computed for each ROI and literature-based resting-state networks using the phase-lag index.  ...  Here we used the atlas-based beamformer approach to investigate resting-state MEG FC in the whole brain and in literature based resting-state networks in relation to clinical and cognitive status, and  ... 
doi:10.1371/journal.pone.0069318 pmid:23935983 pmcid:PMC3729968 fatcat:yor6dvad7rftzfvgbys5isopei

Integrating cross-frequency and within band functional networks in resting-state MEG: A multi-layer network approach

Prejaas Tewarie, Arjan Hillebrand, Bob W. van Dijk, Cornelis J. Stam, George C. O'Neill, Piet Van Mieghem, Jil M. Meier, Mark W. Woolrich, Peter G. Morris, Matthew J. Brookes
2016 NeuroImage  
Applying this model to MEG resting-state data and using envelope correlations as connectivity metric, we demonstrate strong dependency between within layer structure and inter-layer coupling, indicating  ...  Since ongoing mental activity necessitates the simultaneous formation of multiple networks, it seems likely that the brain employs interactions within multiple frequency bands, as well as cross-frequency  ...  resting state MEG weighed adjacency matrices.  ... 
doi:10.1016/j.neuroimage.2016.07.057 pmid:27498371 fatcat:rbs76jefqnev7pltpz6ndqma4i

Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients

Matteo Demuru, Eelco van Duinkerken, Matteo Fraschini, Francesco Marrosu, Frank J. Snoek, Frederik Barkhof, Martin Klein, Michaela Diamant, Arjan Hillebrand
2014 NeuroImage: Clinical  
MEG time-series at source level were reconstructed using a recently developed atlas-based beamformer.  ...  Objective: Integrity of resting-state functional brain networks (RSNs) is important for proper cognitive functioning.  ...  Furthermore, the employment of an atlas-based beamforming solution and analysis of RSNs allowed for a direct comparison between the current MEG results and the results from our previous fMRI study ( van  ... 
doi:10.1016/j.nicl.2014.06.001 pmid:25003029 pmcid:PMC4081980 fatcat:ogsujch2qrgc3b424544e6i2v4

Consistency of magnetoencephalographic functional connectivity and network reconstruction using a template versus native MRI for co-registration

Linda Douw, Dagmar Nieboer, Cornelis J. Stam, Prejaas Tewarie, Arjan Hillebrand
2017 Human Brain Mapping  
Studies using functional connectivity and network analyses based on magnetoencephalography (MEG) with source localization are rapidly emerging in neuroscientific literature.  ...  Methods: Seventeen healthy participants underwent resting-state eyes-closed MEG and anatomical MRI.  ...  Methods: Seventeen healthy participants underwent resting-state eyes-closed MEG and anatomical MRI.  ... 
doi:10.1002/hbm.23827 pmid:28990264 pmcid:PMC5725722 fatcat:k27kbxnlyfg5nky557xdoxl6ru

A multi-layer network approach to MEG connectivity analysis

Matthew J. Brookes, Prejaas K. Tewarie, Benjamin A.E. Hunt, Sian E. Robson, Lauren E. Gascoyne, Elizabeth B. Liddle, Peter F. Liddle, Peter G. Morris
2016 NeuroImage  
Here, we combine oscillatory envelope based functional connectivity metrics with a multi-layer network framework in order to derive a more complete picture of connectivity within and between frequencies  ...  Specifically, connectivity can be calculated as statistical interdependencies between neural oscillations within a large range of different frequency bands.  ...  We estimate 'all-to-all' connectivity between a-priori defined brain regions, which are based on an atlas (Tzourio-Mazoyer et al., 2002) .  ... 
doi:10.1016/j.neuroimage.2016.02.045 pmid:26908313 pmcid:PMC4862958 fatcat:6qtq42zgdjailczzgufhbeoobu

Measurement of dynamic task related functional networks using MEG

George C. O'Neill, Prejaas K. Tewarie, Giles L. Colclough, Lauren E. Gascoyne, Benjamin A.E. Hunt, Peter G. Morris, Mark W. Woolrich, Matthew J. Brookes
2017 NeuroImage  
We then use an ICA based procedure to identify networks of connections whose temporal dynamics covary.  ...  Our method tracks the dynamics of functional connectivity in the brain on a timescale commensurate to the task they are undertaking.  ...  Most networks are observed even in subjects at rest and are thus termed resting state networks (RSNs).  ... 
doi:10.1016/j.neuroimage.2016.08.061 pmid:27639354 pmcid:PMC5312793 fatcat:u33vef7c5ra2bc7dw33bys2caa

MEG Beamformer-Based Reconstructions of Functional Networks in Mild Cognitive Impairment

Maria E. López, Marjolein M. A. Engels, Elisabeth C. W. van Straaten, Ricardo Bajo, María L. Delgado, Philip Scheltens, Arjan Hillebrand, Cornelis J. Stam, Fernando Maestú
2017 Frontiers in Aging Neuroscience  
To test this hypothesis, we compared magnetoencephalography (MEG) eyes-closed resting-state recordings from 29 MCI subjects and 29 healthy elderly subjects in the present exploratory study.  ...  Functional connectivity in different frequency bands was assessed with the phase lag index (PLI) in source space.  ...  An atlas-based beamformer was used to project the MEG sensor signals to 78 cortical regions-of-interest (ROIs) from the Automatic Anatomical Labeling (AAL) atlas (see Supplementary Material) (Tzourio-Mazoyer  ... 
doi:10.3389/fnagi.2017.00107 pmid:28487647 pmcid:PMC5403893 fatcat:3ro4skzb3netzmltjdmj5rottu

Effect of channel density, inverse solutions and connectivity measures on EEG resting-state networks: a simulation study [article]

Sahar Allouch, Aya Kabbara, Joan Duprez, Mohamad Khalil, Julien Modolo, Mahmoud Hassan
2022 bioRxiv   pre-print
/MEG) source connectivity method.  ...  The identification of the connectivity patterns in this so-called "resting-state" has been the subject of a great number of electrophysiology-based studies, using the Electro/Magneto-Encephalography (EEG  ...  In terms of functional connectivity metrics, (Colclough et al. 2016 ) assessed the consistency of different measures in experimental MEG resting state data and recommended using the correlation between  ... 
doi:10.1101/2022.06.01.494301 fatcat:36khuv72snfrhgaasaht3wb6de
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