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Extracting biomarkers of autism from MEG resting-state functional connectivity networks
2011
Computers in Biology and Medicine
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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
2016
Current Opinion in Neurology
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, 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
2013
PLoS ONE
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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
2020
Frontiers in Neuroscience
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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
2017
PLoS ONE
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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
2020
Frontiers in Psychiatry
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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
A REVIEW ON AUTISM SPECTRUM DISORDER DIAGNOSIS USING TASK-BASED FUNCTIONAL MRI
2021
International Journal of Intelligent Computing and Information Sciences
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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
2016
Translational Research: The Journal of Laboratory and Clinical Medicine
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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
2019
Frontiers in Neuroscience
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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
2017
Autism Research
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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
2022
Brain Sciences
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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
2018
Frontiers in Neuroscience
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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
2015
Neuropsychiatric Electrophysiology
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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
2021
Brain Communications
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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
2018
NeuroImage: Clinical
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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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