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Extracting biomarkers of autism from MEG resting-state functional connectivity networks

Vassilis Tsiaras, Panagiotis G. Simos, Roozbeh Rezaie, Bhavin R. Sheth, Eleftherios Garyfallidis, Eduardo M. Castillo, Andrew C. Papanicolaou
2011 Computers in Biology and Medicine  
The present study is a preliminary attempt to use graph theory for deriving distinct features of restingstate functional networks in young adults with autism spectrum disorder (ASD).  ...  the remaining recording sites, in agreement with previous studies of functional connectivity in this disorder.  ...  of resting-state brain function in ASD.  ... 
doi:10.1016/j.compbiomed.2011.04.004 pmid:21592470 fatcat:3c2rdhnx4rc6hmnss4vhatflci

Brain connectivity in autism spectrum disorder

Iman Mohammad-Rezazadeh, Joel Frohlich, Sandra K. Loo, Shafali S. Jeste
2016 Current Opinion in Neurology  
, which may show dynamic changes of functional connectivity in the brain.  ...  transfer between brain regions, which may show dynamic changes of functional connectivity in the brain.  ...  Measures of brain connectivity are promising ASD biomarkers [3] , yet a plethora of methods for extracting and delineating brain networks from recordings of functional brain activity exist.  ... 
doi:10.1097/wco.0000000000000301 pmid:26910484 pmcid:PMC4843767 fatcat:kbrcsxm77vejdfe33desjborr4

A Model of Functional Brain Connectivity and Background Noise as a Biomarker for Cognitive Phenotypes: Application to Autism

Luis García Domínguez, José Luis Pérez Velázquez, Roberto Fernández Galán, Emmanuel Andreas Stamatakis
2013 PLoS ONE  
Citation: Domínguez LG, Velázquez JLP, Galán RF (2013) A Model of Functional Brain Connectivity and Background Noise as a Biomarker for Cognitive Phenotypes: Application to Autism.  ...  We applied this method to investigate functional connectivity and background noise in juvenile patients (n = 9) with Asperger's syndrome, a form of autism spectrum disorder (ASD), and compared them to  ...  Author Contributions Conception and implementation of the biomarker as described in this paper: RFG. Conceived and designed the experiments: RFG JLPV LGD. Performed the experiments: JLPV.  ... 
doi:10.1371/journal.pone.0061493 pmid:23613864 pmcid:PMC3629229 fatcat:v4mzawefyravnd77oxoa6yejwy

Editorial: Identifying Neuroimaging-Based Markers for Distinguishing Brain Disorders

Yuhui Du, Jing Sui, Dongdong Lin
2020 Frontiers in Neuroscience  
There has been evidence that brain functional connectivity is time-varying, and clustering (e.g., K-means) and decomposition methods can be used to extract connectivity states from dynamic connectivity  ...  Resting-state functional MRI (fMRI) has been successful in estimating brain functional networks and connectivity via data-driven methods (Calhoun et al., 2001; Beckmann et al., 2005; Du and Fan, 2013)  ...  Conflict of Interest: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.  ... 
doi:10.3389/fnins.2020.00327 pmid:32322189 pmcid:PMC7156887 fatcat:ubeyljn6aza4bczsb544o2able

Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies

Christian O'Reilly, John D. Lewis, Mayada Elsabbagh, Alessandro Gozzi
2017 PLoS ONE  
Frequency-band specific patterns and their relationships with known symptoms of autism also need to be further clarified. Is functional brain connectivity atypical in autism?  ...  Objectives 1) To systematically review the literature on EEG/MEG functional and effective connectivity in autism spectrum disorder (ASD), 2) to synthesize and critically appraise findings related with  ...  Acknowledgments The authors want to acknowledge the contribution of Mai Khalil who has provided guidance regarding the methodology of the systematic review.  ... 
doi:10.1371/journal.pone.0175870 pmid:28467487 pmcid:PMC5414938 fatcat:5tj5dpzbbzejblptuk5rrc726e

Frequency-Specific Resting Connectome in Bipolar Disorder: An MEG Study

Masakazu Sunaga, Yuichi Takei, Yutaka Kato, Minami Tagawa, Tomohiro Suto, Naruhito Hironaga, Takefumi Ohki, Yumiko Takahashi, Kazuyuki Fujihara, Noriko Sakurai, Koichi Ujita, Yoshito Tsushima (+1 others)
2020 Frontiers in Psychiatry  
We introduced graph theory into resting-state MEG studies to investigate the functional connectivity in patients with BD.  ...  This resting-state MEG study explored the oscillatory representations of clinical symptoms of BD via graph analysis.  ...  Although MEG has many advantages, to our knowledge, there have been no studies of resting-state MEG for evaluating functional connectivity in patients with BD.  ... 
doi:10.3389/fpsyt.2020.00597 pmid:32670117 pmcid:PMC7330711 fatcat:ksysfvbg5jhmdjzi2egf6xn2yq


Reem Haweel, Noha AbdElSabour Seada, Said Ghoniemy, Ayman ElBaz
2021 International Journal of Intelligent Computing and Information Sciences  
Classification results manifest that TfMRI holds early autism biomarkers and suggests future research to establish multi-modal studies that integrate TfMRI with structural, functional, clinical and gnomic  ...  Task-based functional magnetic resonance imaging (TfMRI) is a brain imaging modality that reveals functional activity of the brain in response to different experiments to study the effects of a brain disease  ...  There are two designs of the functional experiments: event-related or block designs to record TfMRI scans, and the resting-state designs to record resting-state fMRI scans.  ... 
doi:10.21608/ijicis.2021.75525.1090 fatcat:z4eaysopufgxbbtca5axdeug7a

Neuroimaging with magnetoencephalography: A dynamic view of brain pathophysiology

Tony W. Wilson, Elizabeth Heinrichs-Graham, Amy L. Proskovec, Timothy J. McDermott
2016 Translational Research: The Journal of Laboratory and Clinical Medicine  
This review focuses on the clinical areas where MEG imaging has arguably had the greatest impact, in regard to the identification of aberrant neural dynamics at the regional and/or network-level, monitoring  ...  Despite this small base, MEG research has made a significant impact on several areas of translational neuroscience, largely through its unique capacity to quantify the oscillatory dynamics of activated  ...  Research from the University of Nebraska Foundation (TWW), and a grant from the Nebraska Banker's Association (TWW).  ... 
doi:10.1016/j.trsl.2016.01.007 pmid:26874219 pmcid:PMC4959997 fatcat:lyhd5ldgerbnhnnykonmuvn52e

Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification

Amirali Kazeminejad, Roberto C. Sotero
2019 Frontiers in Neuroscience  
With enough data and computational power, machine learning (ML) algorithms can be used to interpret the data and extract the best biomarkers from thousands of candidates.  ...  theoretical metrics of fMRI-based functional connectivity to inform a support vector machine (SVM).  ...  Later studies found many different functional networks can be identified using the resting-state connectivity derived from fMRI (van den Heuvel and Hulshoff Pol, 2010) .  ... 
doi:10.3389/fnins.2018.01018 pmid:30686984 pmcid:PMC6335365 fatcat:hirqnk2zjbcbpei3yp4bwwbiia

Patterns of altered neural synchrony in the default mode network in autism spectrum disorder revealed with magnetoencephalography (MEG): Relationship to clinical symptomatology

Renée Lajiness-O'Neill, Jonathan R. Brennan, John E. Moran, Annette E. Richard, Ana-Mercedes Flores, Casey Swick, Ryan Goodcase, Tiffany Andersen, Kaitlyn McFarlane, Kenneth Rusiniak, Ioulia Kovelman, Neelima Wagley (+3 others)
2017 Autism Research  
Patterns of neural coherence within the Default Mode Network (DMN) and Salience Network (SN) during resting state were investigated in twelve children with ASD (M Age =9.2) and thirteen age and gendermatched  ...  in patterns of connectivity within identified neural networks.  ...  Autism, the superior temporal sulcus and social perception. Trends in Neurosciences, 29( 7  ... 
doi:10.1002/aur.1908 pmid:29251830 fatcat:5rllvf4gzrdtrjrlrklqe7ftay

A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications

Alfred Lenin Fred, Subbiahpillai Neelakantapillai Kumar, Ajay Kumar Haridhas, Sayantan Ghosh, Harishita Purushothaman Bhuvana, Wei Khang Jeremy Sim, Vijayaragavan Vimalan, Fredin Arun Sedly Givo, Veikko Jousmäki, Parasuraman Padmanabhan, Balázs Gulyás
2022 Brain Sciences  
Single-channel connectivity, as well as brain network analysis, using MEG data acquired during resting state and a given task has been used for the diagnosis of neurological disorders such as epilepsy,  ...  Alzheimer's, Parkinsonism, autism, and schizophrenia.  ...  Also, MEG study reveals that the increased resting-state cortico-cortical functional connectivity in the 8-10 Hz alpha range is a feature of PD [109] .  ... 
doi:10.3390/brainsci12060788 pmid:35741673 fatcat:eg7wcaixxvhuppfks63ofsl6z4

Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging

Yuhui Du, Zening Fu, Vince D. Calhoun
2018 Frontiers in Neuroscience  
Temporal correlations among regions of interest (ROIs), data-driven spatial network and functional network connectivity (FNC) are often computed to reflect SFC from different angles.  ...  We survey the state-of-the-art FC analysis methods including widely used static functional connectivity (SFC) and more recently proposed dynamic functional connectivity (DFC).  ...  Science Foundation of China (Grant No. 61703253, to YD) and Natural Science Foundation of Shanxi Province (Grant No. 2016021077, to YD).  ... 
doi:10.3389/fnins.2018.00525 pmid:30127711 pmcid:PMC6088208 fatcat:b7hdtmrz4vehlhjw4fo2bewhwq

EEG changes associated with autistic spectrum disorders

Nash N Boutros, Renee Lajiness-O'Neill, Andrew Zillgitt, Anette E Richard, Susan M Bowyer
2015 Neuropsychiatric Electrophysiology  
This review addresses the main EEG findings derived from both the standard or qualitative (visually inspected) EEG and the quantitative (computer analyzed) EEG during resting state in individuals with  ...  The bulk of the evidence supports significant connectivity disturbances in ASD that are possibly widespread with two specific aspects: over-connectivity in the local networks and under-connectivity in  ...  To test the above assumption they examined resting-state EEG functional connectivity of 74 NT subjects.  ... 
doi:10.1186/s40810-014-0001-5 fatcat:5ambbiqqenf4zid7zvf7palqci

Epileptiform discharges relate to altered functional brain networks in autism spectrum disorders

Tetsu Hirosawa, Kyung-Min An, Daiki Soma, Yuka Shiota, Masuhiko Sano, Masafumi Kameya, Shoryoku Hino, Nobushige Naito, Sanae Tanaka, Ken Yaoi, Sumie Iwasaki, Yuko Yoshimura (+1 others)
2021 Brain Communications  
After assessing the participants' social reciprocity using the Social Responsiveness Scale, we constructed graphs of functional brain networks from frequency band separated task-free magnetoencephalography  ...  In conclusion, results demonstrate that alteration of functional brain networks in children with autism spectrum disorders depends on the existence of interictal epileptiform discharges.  ...  Extracting biomarkers of autism from MEG resting-state functional connectivity networks. Comput Biol Med. 2011;41(12):1166- 1177. 46. Barttfeld P, Wicker B, Cukier S, Navarta S, Lew S, Sigman M.  ... 
doi:10.1093/braincomms/fcab184 pmid:34541529 pmcid:PMC8440646 fatcat:cp7mgn3bmvc6veewsamocmcqny

Predicting seizure outcome of vagus nerve stimulation using MEG-based network topology

Abbas Babajani-Feremi, Negar Noorizadeh, Basanagoud Mudigoudar, James W. Wheless
2018 NeuroImage: Clinical  
Resting-state magnetoencephalography (rs-MEG) connectivity analysis has been increasingly utilized to investigate the impact of epilepsy on brain networks and identify alteration of these networks after  ...  Using the phase-locking value in the theta, alpha, and beta frequency bands as a measure of rs-MEG functional connectivity, we calculated three global graph measures: modularity, transitivity, and characteristic  ...  Disclosure None of the authors has any conflicts of interest to disclose.  ... 
doi:10.1016/j.nicl.2018.06.017 pmid:30003036 pmcid:PMC6039837 fatcat:hjbtxaxucnb6baseis2lq77dqq
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