Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease.
paper
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- Authors
- Stam, C J; de Haan, W; Daffertshofer, A; Jones, B F; Manshanden, I; van Cappellen van Walsum, A M; Montez, T; Verbunt, J P A; de Munck, J C; van Dijk, B W; Berendse, H W; Scheltens, P
- Year
- 2009
- Journal
- Brain : a journal of neurology
- PMID
- 18952674
- DOI
- 10.1093/brain/awn262
In this study we examined changes in the large-scale structure of resting-state brain networks in patients with Alzheimer's disease compared with non-demented controls, using concepts from graph theory. Magneto-encephalograms (MEG) were recorded in 18 Alzheimer's disease patients and 18 non-demented control subjects in a no-task, eyes-closed condition. For the main frequency bands, synchronization between all pairs of MEG channels was assessed using a phase lag index (PLI, a synchronization measure insensitive to volume conduction). PLI-weighted connectivity networks were calculated, and characterized by a mean clustering coefficient and path length. Alzheimer's disease patients showed a decrease of mean PLI in the lower alpha and beta band. In the lower alpha band, the clustering coefficient and path length were both decreased in Alzheimer's disease patients. Network changes in the lower alpha band were better explained by a 'Targeted Attack' model than by a 'Random Failure' model. Thus, Alzheimer's disease patients display a loss of resting-state functional connectivity in lower alpha and beta bands even when a measure insensitive to volume conduction effects is used. Moreover, the large-scale structure of lower alpha band functional networks in Alzheimer's disease is more random. The modelling results suggest that highly connected neural network 'hubs' may be especially at risk in Alzheimer's disease.
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| Amnestic Mild Cognitive Impairment Is Associated With Frequency-Specific Brain Network Alterations in Temporal Poles. | Jacini F et al. | — | 2018 | → |
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| Default Mode Network Oscillatory Coupling Is Increased Following Concussion. | Dunkley BT et al. | — | 2018 | → |
| Deficits of entropy modulation in schizophrenia are predicted by functional connectivity strength in the theta band and structural clustering. | Gomez-Pilar J et al. | — | 2018 | → |
| Differences in motor network dynamics during recovery between supra- and infra-tentorial ischemic strokes. | Lee J et al. | — | 2018 | → |
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| Electroencephalographic derived network differences in Lewy body dementia compared to Alzheimer's disease patients. | Peraza LR et al. | — | 2018 | → |
| Frontal Lobe Connectivity and Network Community Characteristics are Associated with the Outcome of Subthalamic Nucleus Deep Brain Stimulation in Patients with Parkinson's Disease. | Koirala N et al. | — | 2018 | → |
| Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer's disease. | Kesler SR et al. | — | 2018 | → |
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| Role of inter-hemispheric connections in functional brain networks. | Martínez JH et al. | — | 2018 | → |
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| SimiNet: A Novel Method for Quantifying Brain Network Similarity. | Mheich A et al. | — | 2018 | → |
| The effectiveness of cortico-cortical evoked potential in detecting seizure onset zones. | Zhang N et al. | — | 2018 | → |
| The relationship between voxel-based metrics of resting state functional connectivity and cognitive performance in cognitively healthy elderly adults. | Zhang H et al. | — | 2018 | → |
| Accounting for the complex hierarchical topology of EEG phase-based functional connectivity in network binarisation. | Smith K et al. | — | 2017 | → |
| Altered Effective Connectivity Network in Childhood Absence Epilepsy: A Multi-frequency MEG Study. | Wu C et al. | — | 2017 | → |
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| Alzheimer's disease: The state of the art in resting-state magnetoencephalography. | Engels MMA et al. | — | 2017 | → |
| A novel individual-level morphological brain networks constructing method and its evaluation in PET and MR images. | Jiang J et al. | — | 2017 | → |
| Apathy in Patients with Parkinson's Disease Correlates with Alteration of Left Fronto-Polar Electroencephalographic Connectivity. | Hatz F et al. | — | 2017 | → |
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| Bispectral analysis of spontaneous EEG activity from patients with moderate dementia due to Alzheimer's disease. | Gomez C et al. | — | 2017 | → |
| Cerebral PET glucose hypometabolism in subjects with mild cognitive impairment and higher EEG high-alpha/low-alpha frequency power ratio. | Moretti DV et al. | — | 2017 | → |
| Characteristics of Resting-State Functional Connectivity in Intractable Unilateral Temporal Lobe Epilepsy Patients with Impaired Executive Control Function. | Zhang C et al. | — | 2017 | → |
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| Disrupted Brain Network in Children with Autism Spectrum Disorder. | Zeng K et al. | — | 2017 | → |
| Dynamic hub load predicts cognitive decline after resective neurosurgery. | Carbo EW et al. | — | 2017 | → |
| Effect of Field Spread on Resting-State Magneto Encephalography Functional Network Analysis: A Computational Modeling Study. | Silva Pereira S et al. | — | 2017 | → |
| Evidence for Behaviorally Segregated, Spatiotemporally Overlapping Subnetworks in Phantom Sound Perception. | Mohan A et al. | — | 2017 | → |
| Features of spatial and functional segregation and integration of the primate connectome revealed by trade-off between wiring cost and efficiency. | Chen Y et al. | — | 2017 | → |
| Frontal Connectivity in EEG Gamma (30-45 Hz) Respond to Spinal Cord Stimulation in Minimally Conscious State Patients. | Bai Y et al. | — | 2017 | → |
| Functional and effective brain connectivity for discrimination between Alzheimer's patients and healthy individuals: A study on resting state EEG rhythms. | Blinowska KJ et al. | — | 2017 | → |
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| Functional connectivity and network analysis during hypoactive delirium and recovery from anesthesia. | Numan T et al. | — | 2017 | → |
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| Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification. | Chen X et al. | — | 2017 | → |
| Hybrid High-order Functional Connectivity Networks Using Resting-state Functional MRI for Mild Cognitive Impairment Diagnosis. | Zhang Y et al. | — | 2017 | → |
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| Machine Learning Classification Combining Multiple Features of A Hyper-Network of fMRI Data in Alzheimer's Disease. | Guo H et al. | — | 2017 | → |
| Mapping Critical Language Sites in Children Performing Verb Generation: Whole-Brain Connectivity and Graph Theoretical Analysis in MEG. | Youssofzadeh V et al. | — | 2017 | → |
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| Resting-State Functional Connectivity and Network Analysis of Cerebellum with Respect to [corrected] IQ and Gender. | Pezoulas VC et al. | — | 2017 | → |
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| Selective impairment of hippocampus and posterior hub areas in Alzheimer's disease: an MEG-based multiplex network study. | Yu M et al. | — | 2017 | → |
| "Small World" architecture in brain connectivity and hippocampal volume in Alzheimer's disease: a study via graph theory from EEG data. | Vecchio F et al. | — | 2017 | → |
| Small world properties changes in mild traumatic brain injury. | Zhou Y | — | 2017 | → |
| The Effects of rTMS Combined with Motor Training on Functional Connectivity in Alpha Frequency Band. | Jin JN et al. | — | 2017 | → |
| The Hierarchy of Brain Networks Is Related to Insulin Growth Factor-1 in a Large, Middle-Aged, Healthy Cohort: An Exploratory Magnetoencephalography Study. | Sorrentino P et al. | — | 2017 | → |
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| Topological Filtering of Dynamic Functional Brain Networks Unfolds Informative Chronnectomics: A Novel Data-Driven Thresholding Scheme Based on Orthogonal Minimal Spanning Trees (OMSTs). | Dimitriadis SI et al. | — | 2017 | → |
| Variation at NRG1 genotype related to modulation of small-world properties of the functional cortical network. | Lubeiro A et al. | — | 2017 | → |
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| Age-Related Differences in the Modulation of Small-World Brain Networks during a Go/NoGo Task. | Hong X et al. | — | 2016 | → |
| Altered brain anatomical networks and disturbed connection density in brain tumor patients revealed by diffusion tensor tractography. | Yu Z et al. | — | 2016 | → |
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| Disrupted Nodal and Hub Organization Account for Brain Network Abnormalities in Parkinson's Disease. | Koshimori Y et al. | — | 2016 | → |
| Divergent topological architecture of the default mode network as a pretreatment predictor of early antidepressant response in major depressive disorder. | Hou Z et al. | — | 2016 | → |
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| Exploring time- and frequency- dependent functional connectivity and brain networks during deception with single-trial event-related potentials. | Gao JF et al. | — | 2016 | → |
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| Gray matter network disruptions and amyloid beta in cognitively normal adults. | Tijms BM et al. | — | 2016 | → |
| Greater Repertoire and Temporal Variability of Cross-Frequency Coupling (CFC) Modes in Resting-State Neuromagnetic Recordings among Children with Reading Difficulties. | Dimitriadis SI et al. | — | 2016 | → |
| How is the brain working?: Research on brain oscillations and connectivities in a new "Take-Off" state. | Başar E et al. | — | 2016 | → |
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| Life-Span Development of Brain Network Integration Assessed with Phase Lag Index Connectivity and Minimum Spanning Tree Graphs. | Smit DJ et al. | — | 2016 | → |
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| Magnetoencephalography for the Detection of Intervention Effects of a Specific Nutrient Combination in Patients with Mild Alzheimer's Disease: Results from an Exploratory Double-Blind, Randomized, Controlled Study. | van Straaten EC et al. | — | 2016 | → |
| Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective. | Deco G et al. | — | 2016 | → |
| Mid-Task Break Improves Global Integration of Functional Connectivity in Lower Alpha Band. | Li J et al. | — | 2016 | → |
| Multi-frequency analysis of brain connectivity networks in migraineurs: a magnetoencephalography study. | Wu D et al. | — | 2016 | → |
| Network analysis of functional brain connectivity in borderline personality disorder using resting-state fMRI. | Xu T et al. | — | 2016 | → |
| Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using MRI and Structural Network Features. | Wei R et al. | — | 2016 | → |
| Reliability of Functional Connectivity of Electroencephalography Applying Microstate-Segmented Versus Classical Calculation of Phase Lag Index. | Hatz F et al. | — | 2016 | → |
| Simulating the Evolution of Functional Brain Networks in Alzheimer's Disease: Exploring Disease Dynamics from the Perspective of Global Activity. | Li W et al. | — | 2016 | → |
| Test-retest reliability of high angular resolution diffusion imaging acquisition within medial temporal lobe connections assessed via tract based spatial statistics, probabilistic tractography and a novel graph theory metric. | Kuhn T et al. | — | 2016 | → |
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| Complex network analysis of resting state EEG in amnestic mild cognitive impairment patients with type 2 diabetes. | Zeng K et al. | — | 2015 | → |
| Cortical Brain Connectivity and B-Type Natriuretic Peptide in Patients With Congestive Heart Failure. | Vecchio F et al. | — | 2015 | → |
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| Identifying and Mapping Connectivity Patterns of Brain Network Hubs in Alzheimer's Disease. | Dai Z et al. | — | 2015 | → |
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| Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients. | Demuru M et al. | — | 2014 | → |
| Decreased functional connectivity and disturbed directionality of information flow in the electroencephalography of intensive care unit patients with delirium after cardiac surgery. | van Dellen E et al. | — | 2014 | → |
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| Directed Transfer Function is not influenced by volume conduction-inexpedient pre-processing should be avoided. | Kaminski M et al. | — | 2014 | → |
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| Drug polyconsumption is associated with increased synchronization of brain electrical-activity at rest and in a counting task. | Coullaut-Valera R et al. | — | 2014 | → |
| EEG power asymmetry and functional connectivity as a marker of treatment effectiveness in DBS surgery for depression. | Quraan MA et al. | — | 2014 | → |
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| Regional functional connectivity predicts distinct cognitive impairments in Alzheimer's disease spectrum. | Ranasinghe KG et al. | — | 2014 | → |
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