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Frequency specific interactions of MEG resting state activity within and across brain networks as revealed by the multivariate interaction measure

L. Marzetti, S. Della Penna, A.Z. Snyder, V. Pizzella, G. Nolte, F. de Pasquale, G.L. Romani, M. Corbetta
2013 NeuroImage  
Resting state networks (RSNs) are sets of brain regions exhibiting temporally coherent activity fluctuations in the absence of imposed task structure.  ...  These results demonstrate the existence of consistent, frequency specific phase-shifted interactions on a millisecond time scale between cortical regions within RSN as well as across RSNs.  ...  Our results demonstrate the effectiveness of the MIM measure in resting state MEG and are sufficient to distinguish within-vs. across-network lagged phase relations for DAN.  ... 
doi:10.1016/j.neuroimage.2013.04.062 pmid:23631996 pmcid:PMC3843123 fatcat:grgvyqex2vctljewbucydbfv44

Resting-state theta-band connectivity and verbal memory in schizophrenia and in the high-risk state

Christina Andreou, Gregor Leicht, Guido Nolte, Nenad Polomac, Steffen Moritz, Anne Karow, Ileana L. Hanganu-Opatz, Andreas K. Engel, Christoph Mulert
2015 Schizophrenia Research  
The imaginary coherence-based multivariate interaction measure (MIM) was used as a measure of connectivity across 80 cortical regions and six frequency bands.  ...  As neurocognitive deficits are already present in the high-risk state, identification of the neural networks involved in this core feature of schizophrenia is essential to our understanding of the disorder  ...  in schizophrenia and in the high-risk state have increasingly focused on the interactions within and between restingstate brain networks.  ... 
doi:10.1016/j.schres.2014.12.018 pmid:25553979 fatcat:dry7yfubj5gfjdqtk7n3ujh6sa

Functional and effective reorganization of the aging brain during unimanual and bimanual hand movements

Sara Larivière, Alba Xifra-Porxas, Michalis Kassinopoulos, Guiomar Niso, Sylvain Baillet, Georgios D. Mitsis, Marie-Hélène Boudrias
2019 Human Brain Mapping  
Maintenance of motor performance and task accuracy in elderly was achieved by hyperactivation of the task-specific motor networks, reflecting a possible mechanism by which the aging brain recruits additional  ...  Furthermore, resting-state sessions acquired before and after each motor task revealed that both older and younger adults maintain the capacity to adapt to task demands via network-wide increases in functional  ...  ACKNOWLEDGMENTS The authors would like to thank Elizabeth Bock for assistance with MEG data acquisition as well as Arna Gosh for his support in implementing the visual feedback for the experiment.  ... 
doi:10.1002/hbm.24578 pmid:30866155 pmcid:PMC6548623 fatcat:52d4fucuxzgypid5u2hxkrp534

Brain Functional Connectivity Through Phase Coupling of Neuronal Oscillations: A Perspective From Magnetoencephalography

Laura Marzetti, Alessio Basti, Federico Chella, Antea D'Andrea, Jaakko Syrjälä, Vittorio Pizzella
2019 Frontiers in Neuroscience  
Overall, the results of the studies provide evidence for frequency specific and/or cross-frequency brain circuits which partially overlap with brain networks as identified by hemodynamic-based imaging  ...  In the second part of this review, we present examples of the use of specific phase methods on real MEG data in the context of resting state, visuospatial attention and working memory.  ...  By using Multivariate Interaction Measure (Ewald et al., 2012) , our group has shown that coupling within and between RSNs features frequency specific signatures (Marzetti et al., 2013) .  ... 
doi:10.3389/fnins.2019.00964 pmid:31572116 pmcid:PMC6751382 fatcat:d6rdo2gnavctxcvudmcgjw5qia

Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease

Sandra Pusil, Stavros Dimitriadis, María Eugenia López, Ernesto Pereda, Fernando Maestú
2019 NeuroImage: Clinical  
Many neuroimaging studies focus on a frequency-specific or a multi-frequency network analysis showing that functional brain networks are disrupted in patients with Alzheimer's disease (AD).  ...  In this study, eyes-closed resting-state magnetoencephalography (MEG) recordings from 27 stable MCI (sMCI) and 27 progressive MCI (pMCI) from two scan sessions (baseline and follow-up after approximately  ...  Acknowledgements This study was supported by three projects from the Spanish Ministry of Economy and Competitiveness (PSI2009-14415-C03-01, PSI2012-38375-C03-01, TEC2016-80063-C3-2-R) and from Madrid Neurocenter  ... 
doi:10.1016/j.nicl.2019.101972 pmid:31522127 pmcid:PMC6745514 fatcat:hw3zitsigve4hoy5twtcjefjue

Cognitive impairments in schizophrenia as assessed through activation and connectivity measures of magnetoencephalography (MEG) data

Leighton Hinkley
2010 Frontiers in Human Neuroscience  
Finally, both bivariate and multivariate functional connectivity metrics of MEG data are useful for understanding how these interactions in the brain are impaired in schizophrenia, and how cognitive and  ...  Source reconstruction techniques, such as adaptive spatial filtering, take advantage of the spatial localization abilities of MEG, allowing us to evaluate which specific structures contribute to atypical  ...  The network of connections measured by MEG at rest in the patient group was found to be non-overlapping with categorized activity of healthy controls (Figure 6) .  ... 
doi:10.3389/neuro.09.073.2009 pmid:21160543 pmcid:PMC2991173 fatcat:53gk5f7xorfbleaw6cosrxeqpe

Fast transient networks in spontaneous human brain activity

Adam P Baker, Matthew J Brookes, Iead A Rezek, Stephen M Smith, Timothy Behrens, Penny J Probert Smith, Mark Woolrich
2014 eLife  
We further evaluate cross-network interactions, and show that anticorrelation between the default mode network and parietal regions of the dorsal attention network is consistent with an inability of the  ...  resting state networks.  ...  Trust for fellowship support for MJB and the University of Nottingham who funded the MEG scanner.  ... 
doi:10.7554/elife.01867 pmid:24668169 pmcid:PMC3965210 fatcat:eiswo7m3mncfxbqp7c6vrv3r5y

Measuring functional connectivity in MEG: A multivariate approach insensitive to linear source leakage

M.J. Brookes, M.W. Woolrich, G.R. Barnes
2012 NeuroImage  
A number of recent studies have begun to show the promise of magnetoencephalography (MEG) as a means to non-invasively measure functional connectivity within distributed networks in the human brain.  ...  In this paper we demonstrate a method by which non-zero lag cortico-cortical interactions between the power envelopes of neural oscillatory processes can be reliably identified within a multivariate statistical  ...  We also gratefully acknowledge the Medical Research Council and The University of Nottingham for financial support.  ... 
doi:10.1016/j.neuroimage.2012.03.048 pmid:22484306 pmcid:PMC3459100 fatcat:ydqurrdgwvcidpyeqioios2di4

How to Build a Functional Connectomic Biomarker for Mild Cognitive Impairment From Source Reconstructed MEG Resting-State Activity: The Combination of ROI Representation and Connectivity Estimator Matters

Stavros I. Dimitriadis, María E. López, Ricardo Bruña, Pablo Cuesta, Alberto Marcos, Fernando Maestú, Ernesto Pereda
2018 Frontiers in Neuroscience  
Our analysis supports the notion of analyzing FCG simultaneously in intra and cross-frequency whole brain interactions with various connectivity estimators in beamformed recordings.  ...  Selected functional connections that build the multivariate connectomic biomarker in the edge-weighted scenario are located in default-mode, fronto-parietal, and cingulo-opercular network.  ...  Most studies that attempted to define a reliable connectomic biomarker for the detection of MCI using EEG/MEG FC analyzed functional interactions between brain activities within the same frequency band  ... 
doi:10.3389/fnins.2018.00306 pmid:29910704 pmcid:PMC5992286 fatcat:zvktrsy7sra4pbpgz6ats5lnjy

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.  ...  The resting activity of the brain can be described by so-called intrinsic connectivity networks (ICNs), which consist of spatially and temporally distributed, but functionally connected, nodes.  ...  The interactions of large-scale brain networks at resting-state and during tasks is characterized by the studying frequency.  ... 
doi:10.3389/fnins.2018.00506 pmid:30127710 pmcid:PMC6088195 fatcat:mpxnhkrhnfe75h3bd67zfukec4

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.  ...  The resting activity of the brain can be described by so-called intrinsic connectivity networks (ICNs), which consist of spatially and temporally distributed, but functionally connected, nodes.  ...  The interactions of large-scale brain networks at resting-state and during tasks is characterized by the studying frequency.  ... 
doi:10.1101/358192 fatcat:xcvdd5kmkbcajptxxtnaylsnpe

Revisiting Functional Connectivity for Infraslow Scale-Free Brain Dynamics Using Complex Wavelets

Daria La Rocca, Herwig Wendt, Virginie van Wassenhove, Philippe Ciuciu, Patrice Abry
2021 Frontiers in Physiology  
The analysis of human brain functional networks is achieved by computing functional connectivity indices reflecting phase coupling and interactions between remote brain regions.  ...  of M/EEG-quantified brain activity.  ...  Human Brain Multivariate Temporal Dynamics: Functional Connectivity Remote brain regions are known to interact within large scale functional networks (e.g., the default Mode Network at rest), which mediate  ... 
doi:10.3389/fphys.2020.578537 pmid:33488390 pmcid:PMC7818786 fatcat:gz54lwgexjddxny2y4b5wbyc2i

Spontaneous network activity <35 Hz accounts for variability in stimulus-induced gamma responses

Jan Hirschmann, Sylvain Baillet, Mark Woolrich, Alfons Schnitzler, Diego Vidaurre, Esther Florin
2019 NeuroImage  
​Hz) in the absence of stimulation (resting-state and task baseline).  ...  By applying Hidden Markov modelling to MEG data, we reveal that the trial-averaged gamma response to a moving grating depends on the individual network dynamics, inferred from slower brain activity (<35  ...  SB was supported by a Discovery Grant from the Natural Science and Engineering Research Council of Canada (436355-13), the NIH (1R01EB026299-01) and a Platform Support Grant from the Brain Canada Foundation  ... 
doi:10.1016/j.neuroimage.2019.116374 pmid:31759115 pmcid:PMC8111242 fatcat:7ql4yj44ifdcrcruh32hzvhevu

Magnetoencephalographic alpha band connectivity reveals differential default mode network interactions during focused attention and open monitoring meditation

Laura Marzetti, Claudia Di Lanzo, Filippo Zappasodi, Federico Chella, Antonino Raffone, Vittorio Pizzella
2014 Frontiers in Human Neuroscience  
Our findings showed a state dependent coupling of posterior cingulate cortex (PCC) to nodes of the DMN and of the executive control brain network in the alpha frequency band (8-12 Hz), related to different  ...  Specifically, we investigated the differences between FA meditation, OM meditation and resting state in the coupling between the posterior cingulate cortex, core node of the Default Mode Network (DMN)  ...  The authors are also grateful to Dr. Raffaella Franciotti for technical assistance during MEG measurements, and to Dr. Marcella Brunetti and Dr.  ... 
doi:10.3389/fnhum.2014.00832 pmid:25360102 pmcid:PMC4197643 fatcat:ibu6q52zvzdolhk52tg5yxh6hu

Magnetoencephalography in the study of brain dynamics

Vittorio Pizzella, Laura Marzetti, Stefania Della Penna, Francesco de Pasquale, Filippo Zappasodi, Gian Luca Romani
2014 Functional Neurology  
A central issue is therefore the study of brain functional connectivity and the concept of brain networks as ensembles of distant brain areas that preferentially exchange information.  ...  The former starts from the study of the detailed functioning of a small number of neuronal assemblies, while the latter tries to decode brain functioning by considering the brain as a whole.  ...  and pathological aging [ConnAge]" (VP); NIH Grant MH 71920-06 -the Human Connectome Project (1U54MH091657-01) (FdP, LM).  ... 
pmid:25764254 pmcid:PMC4370437 fatcat:tkprbuxz5jgsvbth2rbw33ol3y
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