Graph theoretical analysis of organization of functional brain networks in ADHD. - Wikidata - awgldk - TriplyDB

Graph theoretical analysis of organization of functional brain networks in ADHD.

Graph theoretical analysis of organization of functional brain networks in ADHD.

http://www.wikidata.org/entity/Q48612292

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Toward Developmental Connectomics of the Human Brain Connectomics in psychiatric research: advances and applications Electroencephalography signatures of attention-deficit/hyperactivity disorder: clinical utility Combining Partial Directed Coherence and Graph Theory to Analyse Effective Brain Networks of Different Mental Tasks Towards Tunable Consensus Clustering for Studying Functional Brain Connectivity During Affective Processing.A review of attention-deficit/hyperactivity disorder from the perspective of brain networks Singular spectrum analysis and adaptive filtering enhance the functional connectivity analysis of resting state fMRI data.Imaging functional and structural brain connectomics in attention-deficit/hyperactivity disorder.STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging.Assembling A Multi-Feature EEG Classifier for Left-Right Motor Imagery Data Using Wavelet-Based Fuzzy Approximate Entropy for Improved Accuracy.Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach.Whole-brain structural topology in adult attention-deficit/hyperactivity disorder: Preserved global - disturbed local network organization Down syndrome's brain dynamics: analysis of fractality in resting state Sensory and motor secondary symptoms as indicators of brain vulnerability.Altered Network Characteristics of Spike-Wave Discharges in Juvenile Myoclonic Epilepsy.Aberrant Thalamocortical Connectivity in Juvenile Myoclonic Epilepsy.Right Fronto-Temporal EEG can Differentiate the Affective Responses to Award-Winning Advertisements.Epileptic EEG classification based on kernel sparse representation.Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.Emotion Recognition with Eigen Features of Frequency Band Activities Embedded in Induced Brain Oscillations Mediated by Affective Pictures.Epileptic Seizure Detection with Log-Euclidean Gaussian Kernel-Based Sparse Representation.Analysis of the Complexity Measures in the EEG of Schizophrenia Patients.Detection of driving fatigue by using noncontact EMG and ECG signals measurement system.Classification of obsessive compulsive disorder by EEG complexity and hemispheric dependency measurements.Wavelet methodology to improve single unit isolation in primary motor cortex cells Altered gray matter organization in children and adolescents with ADHD: a structural covariance connectome study Epileptic Discharge Related Functional Connectivity Within and Between Networks in Benign Epilepsy with Centrotemporal Spikes.Application of quantum-behaved particle swarm optimization to motor imagery EEG classification.Small-World Brain Functional Networks in Children With Attention-Deficit/Hyperactivity Disorder Revealed by EEG Synchrony.Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface.Neural Oscillation Correlates Chemistry Decision-Making.Biologically inspired face recognition: toward pose-invariance.Functional Brain Connectivity Differences Between Different ADHD Presentations: Impaired Functional Segregation in ADHD-Combined Presentation but not in ADHD-Inattentive Presentation.Quantification of Graph Complexity Based on the Edge Weight Distribution Balance: Application to Brain Networks.Functional brain dynamic analysis of ADHD and control children using nonlinear dynamical features of EEG signals.Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG.A Novel Multilayer Correlation Maximization Model for Improving CCA-Based Frequency Recognition in SSVEP Brain-Computer Interface.From Structure to Activity: Using Centrality Measures to Predict Neuronal Activity.Neurophysiological Analysis of the Genesis Mechanism of EEG During the Interictal and Ictal Periods Using a Multiple Neural Masses Model.Spatiotemporal analysis of relative convergence of EEGs reveals differences between brain dynamics of depressive women and men.

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P2860

Graph theoretical analysis of organization of functional brain networks in ADHD.

http://www.wikidata.org/entity/Q48612292

description

2012 nî lūn-bûn

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2012年の論文

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年学术文章

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2012年學術文章

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2012年學術文章

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Graph theoretical analysis of organization of functional brain networks in ADHD.

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Graph theoretical analysis of organization of functional brain networks in ADHD.

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Graph theoretical analysis of organization of functional brain networks in ADHD.

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Graph theoretical analysis of organization of functional brain networks in ADHD.

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Graph theoretical analysis of organization of functional brain networks in ADHD.

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Graph theoretical analysis of organization of functional brain networks in ADHD.

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Clinical EEG and Neuroscience

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Graph theoretical analysis of organization of functional brain networks in ADHD.

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Amir Adeli

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Hojjat Adeli

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Mehran Ahmadlou

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P2860

Brain development and ADHD

The architecture of complex weighted networks

Collective dynamics of 'small-world' networks

Complex brain networks: graph theoretical analysis of structural and functional systems

Analysis of EEG records in an epileptic patient using wavelet transform.

Structural brain imaging of attention-deficit/hyperactivity disorder.

Basal ganglia volume and shape in children with attention deficit hyperactivity disorder

Non-invasive computerized system for automatically initiating vagus nerve stimulation following patient-specific detection of seizures or epileptiform discharges

Control of synchronization of brain dynamics leads to control of epileptic seizures in rodents.

Undirected graphs of frequency-dependent functional connectivity in whole brain networks.

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