Cargando…

Abnormal Functional Resting-State Networks in ADHD: Graph Theory and Pattern Recognition Analysis of fMRI Data

The framework of graph theory provides useful tools for investigating the neural substrates of neuropsychiatric disorders. Graph description measures may be useful as predictor variables in classification procedures. Here, we consider several centrality measures as predictor features in a classifica...

Descripción completa

Detalles Bibliográficos
Autores principales:	dos Santos Siqueira, Anderson, Biazoli Junior, Claudinei Eduardo, Comfort, William Edgar, Rohde, Luis Augusto, Sato, João Ricardo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2014
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163359/ https://www.ncbi.nlm.nih.gov/pubmed/25309910 http://dx.doi.org/10.1155/2014/380531

Ejemplares similares

Commentary: A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity
por: Sato, João R., et al.
Publicado: (2017)

Multimodal resting-state connectivity predicts affective neurofeedback performance
por: Trambaiolli, Lucas R., et al.
Publicado: (2022)

Evaluation of Pattern Recognition and Feature Extraction Methods in ADHD Prediction
por: Sato, João Ricardo, et al.
Publicado: (2012)

Functional Connectivity and Complexity Analyses of Resting-State fMRI in Pre-Adolescents with ADHD
por: Zhang, Ru, et al.
Publicado: (2023)

A method for independent component graph analysis of resting‐state fMRI
por: Ribeiro de Paula, Demetrius, et al.
Publicado: (2017)

Reproducibility of graph measures at the subject level using resting‐state fMRI
por: Ran, Qian, et al.
Publicado: (2020)

Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks
por: Sannino, Speranza, et al.
Publicado: (2017)

Diurnal variations of resting-state fMRI data: A graph-based analysis
por: Farahani, Farzad V., et al.
Publicado: (2022)

Assessing atypical brain functional connectivity development: An approach based on generative adversarial networks
por: Dos Santos, Pedro Machado Nery, et al.
Publicado: (2023)

ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements
por: Brown, Matthew R. G., et al.
Publicado: (2012)

Network Scaling Effects in Graph Analytic Studies of Human Resting-State fMRI Data
por: Fornito, Alex, et al.
Publicado: (2010)

The Influence of Preprocessing Steps on Graph Theory Measures Derived from Resting State fMRI
por: Gargouri, Fatma, et al.
Publicado: (2018)

Multiple measurement analysis of resting-state fMRI for ADHD classification in adolescent brain from the ABCD study
por: Wang, Zhaobin, et al.
Publicado: (2023)

Contrasting resting-state fMRI abnormalities from sickle and non-sickle anemia
por: Coloigner, Julie, et al.
Publicado: (2017)

Abnormal Brain Connectivity Patterns in Adults with ADHD: A Coherence Study
por: Sato, João Ricardo, et al.
Publicado: (2012)

Extracting default mode network based on graph neural network for resting state fMRI study
por: Wang, Donglin, et al.
Publicado: (2022)

Predicting affective valence using cortical hemodynamic signals
por: Trambaiolli, Lucas R., et al.
Publicado: (2018)

Reproducibility of Graph Metrics in fMRI Networks
por: Telesford, Qawi K., et al.
Publicado: (2010)

Hyperactivity/restlessness is associated with increased functional connectivity in adults with ADHD: a dimensional analysis of resting state fMRI
por: Sörös, Peter, et al.
Publicado: (2019)

Connectome hubs at resting state in children and adolescents: Reproducibility and psychopathological correlation
por: Sato, João Ricardo, et al.
Publicado: (2016)

Intrinsic Brain Network Abnormalities in Migraines without Aura Revealed in Resting-State fMRI
por: Xue, Ting, et al.
Publicado: (2012)

Abnormal static and dynamic functional connectivity of resting-state fMRI in multiple system atrophy
por: Zheng, Weimin, et al.
Publicado: (2020)

Abnormalities of Thalamic Functional Connectivity in Patients with Migraine: A Resting-State fMRI Study
por: Cao, Zi-Min, et al.
Publicado: (2022)

Loss of ‘Small-World’ Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity
por: Sanz-Arigita, Ernesto J., et al.
Publicado: (2010)

Evaluating the reliability of different preprocessing steps to estimate graph theoretical measures in resting state fMRI data
por: Aurich, Nathassia K., et al.
Publicado: (2015)

Functional interactions in patients with hemianopia: A graph theory-based connectivity study of resting fMRI signal
por: Pedersini, Caterina A., et al.
Publicado: (2020)

Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
por: Thapaliya, Bishal, et al.
Publicado: (2023)

A Novel Exploratory Graph-Based Analytical Tool for Functional Near-Infrared Spectroscopy in Naturalistic Experiments: An Illustrative Application in Typically Developing Children
por: Sato, João Ricardo, et al.
Publicado: (2023)

Network Connectivity in Epilepsy: Resting State fMRI and EEG–fMRI Contributions
por: Centeno, Maria, et al.
Publicado: (2014)

The Role of Cerebrovascular-Reactivity Mapping in Functional MRI: Calibrated fMRI and Resting-State fMRI
por: Chen, J. Jean, et al.
Publicado: (2021)

Subject-independent decoding of affective states using functional near-infrared spectroscopy
por: Trambaiolli, Lucas R., et al.
Publicado: (2021)

On consciousness, resting state fMRI, and neurodynamics
por: Lundervold, Arvid
Publicado: (2010)

A DCM for resting state fMRI
por: Friston, Karl J., et al.
Publicado: (2014)

On nodes and modes in resting state fMRI
por: Friston, Karl J., et al.
Publicado: (2014)

Vigilance Effects in Resting-State fMRI
por: Liu, Thomas T., et al.
Publicado: (2020)

Resting-State fMRI in Studies of Acupuncture
por: Li, Xiaoling, et al.
Publicado: (2021)

Inferring the heritability of large-scale functional networks with a multivariate ACE modeling approach
por: Ribeiro, Fernanda L., et al.
Publicado: (2021)

A guide for the use of fNIRS in microcephaly associated to congenital Zika virus infection
por: Sato, João Ricardo, et al.
Publicado: (2021)

Changes of Functional Brain Networks in Major Depressive Disorder: A Graph Theoretical Analysis of Resting-State fMRI
por: Ye, Ming, et al.
Publicado: (2015)

Identification of Voxels Confounded by Venous Signals Using Resting-State fMRI Functional Connectivity Graph Community Identification
por: Kalcher, Klaudius, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_o074qhp4frqitiqbgjbosb8tn8