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Group differences in MEG-ICA derived resting state networks: Application to major depressive disorder

Allison C. Nugent, Stephen E. Robinson, Richard Coppola, Maura L. Furey, Carlos A. Zarate
2015 NeuroImage  
We extended the ICA resting state MEG method to enable group comparisons, and demonstrate the technique in a sample of subjects with major depressive disorder (MDD).  ...  Our results demonstrate that group analyses are possible with the resting state MEG-independent component analysis (ICA) technique, highlighting a new pathway for analysis and discovery.  ...  CAZ, and by the Brain & Behavior Mood Disorders Research Award to CAZ.  ... 
doi:10.1016/j.neuroimage.2015.05.051 pmid:26032890 pmcid:PMC4555091 fatcat:4jifjzgtyzfbbjoeix6zqukuni

Neuroaging through the Lens of the Resting State Networks

Filippo Cieri, Roberto Esposito
2018 BioMed Research International  
enables identification of brain networks also called Resting State Networks (RSNs) including the most studied Default Mode Network (DMN).  ...  Depression (LLD).  ...  Default Mode Network and the Other Resting State Networks The identification of the specific brain areas constituting RSNs dates back to early 21st century as a result of a group of scientists using PET  ... 
doi:10.1155/2018/5080981 pmid:29568755 pmcid:PMC5820564 fatcat:c6kpmwnulbaptksfz6nhsz7bti

Intrinsic network activity in tinnitus investigated using functional MRI

Amber M. Leaver, Ted K. Turesky, Anna Seydell-Greenwald, Susan Morgan, Hung J. Kim, Josef P. Rauschecker
2016 Human Brain Mapping  
In this magnetic resonance imaging (MRI) study, we used two resting-state functional connectivity (RSFC) approaches to better understand functional network disturbances in tinnitus.  ...  First, we demonstrated tinnitus-related reductions in RSFC between specific brain regions and resting-state networks (RSNs), defined by independent components analysis (ICA) and chosen for their overlap  ...  Acknowledgments We wish to thank Sylke-Monina Chowdhury for her technical assistance.  ... 
doi:10.1002/hbm.23204 pmid:27091485 pmcid:PMC4945432 fatcat:vuow3r56mnb7tiv6d6mmcgkmi4

Multimodal Classification of Schizophrenia Patients with MEG and fMRI Data Using Static and Dynamic Connectivity Measures

Mustafa S. Cetin, Jon M. Houck, Barnaly Rashid, Oktay Agacoglu, Julia M. Stephen, Jing Sui, Jose Canive, Andy Mayer, Cheryl Aine, Juan R. Bustillo, Vince D. Calhoun
2016 Frontiers in Neuroscience  
network components in the resting state.  ...  fMRI/MEG methods using dynamic functional network connectivity analyses improved classification up to 5.12% relative to use of fMRI alone and up to 17.21% relative to use of MEG alone.  ...  network components in the resting state.  ... 
doi:10.3389/fnins.2016.00466 pmid:27807403 pmcid:PMC5070283 fatcat:m23fkub4sjed3b2t2bd7tvjv34

Grading of Frequency Spectral Centroid Across Resting-State Networks

Anja Ries, Catie Chang, Sarah Glim, Chun Meng, Christian Sorg, Afra Wohlschläger
2018 Frontiers in Human Neuroscience  
Ongoing, slowly fluctuating brain activity is organized in resting-state networks (RSNs) of spatially coherent fluctuations.  ...  In summary, results provide evidence for a distinct grading of spectra across RSNs, which is sensitive to major depression.  ...  Dataset 2: Healthy Controls and MDD Patients Resting-State Networks Via ICA, we identified 24 RSNs that corresponded to networks previously reported by Allen et al. (2011) .  ... 
doi:10.3389/fnhum.2018.00436 pmid:30416439 pmcid:PMC6213969 fatcat:y5pw4jsd4vesdhcctnodg3t67i

Alterations of Intrinsic Brain Connectivity Patterns in Depression and Bipolar Disorders: A Critical Assessment of Magnetoencephalography-Based Evidence

Golnoush Alamian, Ana-Sofía Hincapié, Etienne Combrisson, Thomas Thiery, Véronique Martel, Dmitrii Althukov, Karim Jerbi
2017 Frontiers in Psychiatry  
In this article, we review recent findings in MEG resting-state connectivity within two mood disorders: major depressive disorder (MDD) and bipolar disorder (BD).  ...  MEG resting-state studies provide an important window onto perturbed spontaneous oscillatory brain networks and hence supply an important complement to fMRI-based resting-state measurements in psychiatric  ...  Here, we provide a critical review of recent findings from MEG resting-state connectivity within major depressive disorder (MDD) and bipolar disorder (BD).  ... 
doi:10.3389/fpsyt.2017.00041 pmid:28367127 pmcid:PMC5355450 fatcat:l5z6lrfoezdzlcpmyydbvgsotq

Atypical Resting State Functional Neural Network in Children With Autism Spectrum Disorder: Graph Theory Approach

Daiki Soma, Tetsu Hirosawa, Chiaki Hasegawa, Kyung-min An, Masafumi Kameya, Shoryoku Hino, Yuko Yoshimura, Sou Nobukawa, Sumie Iwasaki, Sanae Tanaka, Ken Yaoi, Masuhiko Sano (+3 others)
2021 Frontiers in Psychiatry  
Results obtained using graph theory demonstrate a difference between children with and without ASD in MEG-derived resting-state functional brain networks, and the relation of that difference with social  ...  Objectives of this study were to evaluate properties of resting-state functional brain networks in children with and without ASD and to evaluate their relation with social impairment severity.  ...  Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder. Biol Psychiatry.  ... 
doi:10.3389/fpsyt.2021.790234 pmid:34970170 pmcid:PMC8712628 fatcat:nptiyymndvaahdukzlkt2ya3ba

Exploring the network dynamics underlying brain activity during rest

Joana Cabral, Morten L. Kringelbach, Gustavo Deco
2014 Progress in Neurobiology  
To date, nearly all applications of ICA to fMRI (including resting-state fMRI) have used spatial ICA, because ICA requires a large number of samples to function well, and in fMRI there are orders of magnitude  ...  , some belonging to brain areas specific for different tasks, defining the so-called resting state networks (RSNs).  ... 
doi:10.1016/j.pneurobio.2013.12.005 pmid:24389385 fatcat:caytdquplvahzfh4cssjdula7y

Harnessing Human Connectome Project Data for Replication Studies: A Demonstration for Resting State-Task Network Correspondence [article]

Lisa D. Nickerson
2017 bioRxiv   pre-print
correspondence between resting state and task brain networks.  ...  A major barrier to reproducing neuroimaging studies is their high cost, in money and labor, and utilizing such datasets is an obvious solution for breaking down this barrier.  ...  In the HCP framework, these ICA maps are used to denoise the fMRI data prior to any subsequent resting state analyses.  ... 
doi:10.1101/111021 fatcat:sdswg4jhqvg67mtfxtertlsibq

A Survey of Graph Based Complex Brain Network Analysis Using Functional and Diffusional MRI

Md Rafiqul Islam, Xiaoxia Yin, Anwaar Ulhaq, Yanchun Zhang, Hua Wang, Noreen Anjum, Tomas Kron
2017 American Journal of Applied Sciences  
In this survey paper, we focus on a comprehensive study of the analytical methods for complex brain network based on graph theory.  ...  The graph based techniques of brain complex networks have been successfully used in various types of image and medical data analysis.  ...  The work described in this paper has been partly supported by the ARC DP Project: DP140100841 and Victoria University, Australia.  ... 
doi:10.3844/ajassp.2017.1186.1208 fatcat:qc2lydwqpjgkjhru34726c64wy

A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders

Yuhui Du, Godfrey D. Pearlson, Jingyu Liu, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D. Calhoun
2015 NeuroImage  
BP was closer to HC compared with other psychotic disorders. In summary, resting-state fMRI brain networks extracted via GIG-ICA provide a promising potential to differentiate SZ, BP, and SAD.  ...  This study is aimed to explore biomarkers from resting-state fMRI networks for differentiating these disorders and investigate the relationship among these disorders based on fMRI networks with an emphasis  ...  It is worth noting that in this study the relationship among different groups were measured based on resting-state INs.  ... 
doi:10.1016/j.neuroimage.2015.07.054 pmid:26216278 pmcid:PMC4618037 fatcat:srs7ko5uefbwpnagggrc5a6tfe

Spatial and spectral trajectories in typical neurodevelopment from childhood to middle age

Benjamin A. E. Hunt, Simeon M. Wong, Marlee M. Vandewouw, Matthew J. Brookes, Benjamin T. Dunkley, Margot J. Taylor
2019 Network Neuroscience  
Using magnetoencephalography data in the largest normative sample currently available (324 participants aged 6-45 years), we assess the developmental trajectory of resting-state oscillatory power and functional  ...  The maturational course of power, indicative of local processing, was found to both increase and decrease in a spectrally dependent fashion.  ...  ACKNOWLEDGMENTS We wish to acknowledge the following individuals who acquired the data used in this publication: Rachel Leung, Vanessa Vogan, Sarah Mossad, Julie Sato, Veronica Yuk, MyLoi Huynh, and Julie  ... 
doi:10.1162/netn_a_00077 pmid:30984904 pmcid:PMC6444935 fatcat:57z4r3htlvcb7nf5skek53gy7i

Connectomics of bipolar disorder: a critical review, and evidence for dynamic instabilities within interoceptive networks

Alistair Perry, Gloria Roberts, Philip B. Mitchell, Michael Breakspear
2018 Molecular Psychiatry  
We highlight research fields that aim to link brain network disturbances to the phenotype of BD, including the study of large-scale brain dynamics, the principles of network stability and control, and  ...  Here we position bipolar disorder (BD) within this paradigm. We first summarise the disruptions in structural, functional and effective connectivity that have been documented in BD.  ...  We thank Bjorn Burgher for constructive feedback of the manuscript, and lastly the contribution of Guusje Collin in providing the source images used in Fig. 3 .  ... 
doi:10.1038/s41380-018-0267-2 pmid:30279458 pmcid:PMC6756092 fatcat:ux22n2xuzncmhoasl3jvmzv3ri

EEG and MEG primers for tracking DBS network effects

Vladimir Litvak, Esther Florin, Gertrúd Tamás, Sergiu Groppa, Muthuraman Muthuraman
2020 NeuroImage  
Specific network responses were linked to clinical state, task or stimulation parameters.  ...  Here, we review both the technical issues associated with EEG/MEG recordings in DBS patients and the experimental findings to date.  ...  Acknowledgments We are thankful to Cheryl Ernest for proofreading the manuscript. This study was supported by a grant from German Research Council (DFG; CRC-TR-128, CRC 1193).  ... 
doi:10.1016/j.neuroimage.2020.117447 pmid:33059051 fatcat:cyvr77m4nbhhjah4svlsbzivwu

Acute tryptophan loading decreases functional connectivity between the default mode network and emotion-related brain regions

Yacila I. Deza-Araujo, Philipp T. Neukam, Michael Marxen, Dirk K. Müller, Thomas Henle, Michael N. Smolka
2018 Human Brain Mapping  
These results suggest that functional changes in the brain associated with different brain serotonin levels may be relevant to understand the neural bases of depressive symptoms.  ...  Resting-state fMRI from 85 healthy subjects was acquired for all conditions 3 hr after the ingestion of an amino acid mixture containing different amounts of tryptophan, the dietary precursor of serotonin  ...  Special thanks to Juliane Fröhner for helpful advice regarding data analyses. Thanks to all our participants for their time and cooperation.  ... 
doi:10.1002/hbm.24494 pmid:30585373 fatcat:qgvnyj5zfnavjefu6ujbamfkzi
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