Cargando…

Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs

The study of brain network connectivity as a time-varying property began relatively recently and, to date, has remained primarily concerned with capturing a handful of discrete static states that characterize connectivity as measured on a timescale shorter than that of the full scan. Capturing group...

Descripción completa

Detalles Bibliográficos
Autores principales:	Miller, Robyn L., Vergara, Victor M., Pearlson, Godfrey D., Calhoun, Vince D.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063321/ https://www.ncbi.nlm.nih.gov/pubmed/35516809 http://dx.doi.org/10.3389/fnins.2022.770468

Ejemplares similares

Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification
por: Rokham, Hooman, et al.
Publicado: (2023)

Whole brain polarity regime dynamics are significantly disrupted in schizophrenia and correlate strongly with network connectivity measures
por: Miller, Robyn L., et al.
Publicado: (2019)

Classification of schizophrenia patients based on resting-state functional network connectivity
por: Arbabshirani, Mohammad R., et al.
Publicado: (2013)

Convergent Approaches for Defining Functional Imaging Endophenotypes in Schizophrenia
por: Pearlson, Godfrey D., et al.
Publicado: (2009)

Functional Brain Networks in Schizophrenia: A Review
por: Calhoun, Vince D., et al.
Publicado: (2009)

Wavelet denoising of multiframe optical coherence tomography data
por: Mayer, Markus A., et al.
Publicado: (2012)

Identification of Skin Lesions by Using Single-Step Multiframe Detector
por: Hsiao, Yu-Ping, et al.
Publicado: (2021)

FNC: An Advanced Anticancer Therapeutic or Just an Underdog?
por: Fayzullina, Daria, et al.
Publicado: (2022)

Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects
por: Rashid, Barnaly, et al.
Publicado: (2014)

Functional network connectivity during Jazz improvisation
por: Vergara, Victor M., et al.
Publicado: (2021)

Opposite Modulation of Brain Functional Networks Implicated at Low vs. High Demand of Attention and Working Memory
por: Xu, Jiansong, et al.
Publicado: (2014)

FNC efficiently inhibits mantle cell lymphoma growth
por: Zhang, Yan, et al.
Publicado: (2017)

Identifying commonality and specificity across psychosis sub-groups via classification based on features from dynamic connectivity analysis
por: Du, Yuhui, et al.
Publicado: (2020)

Dynamic functional connectivity in schizophrenia and autism spectrum disorder: Convergence, divergence and classification
por: Rabany, Liron, et al.
Publicado: (2019)

Altered Topological Properties of Functional Network Connectivity in Schizophrenia during Resting State: A Small-World Brain Network Study
por: Yu, Qingbao, et al.
Publicado: (2011)

Modular Organization of Functional Network Connectivity in Healthy Controls and Patients with Schizophrenia during the Resting State
por: Yu, Qingbao, et al.
Publicado: (2012)

Altered Domain Functional Network Connectivity Strength and Randomness in Schizophrenia
por: Vergara, Victor M., et al.
Publicado: (2019)

Evidence for Anomalous Network Connectivity during Working Memory Encoding in Schizophrenia: An ICA Based Analysis
por: Meda, Shashwath A., et al.
Publicado: (2009)

Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients
por: Miller, Robyn L., et al.
Publicado: (2016)

Exploring the Psychosis Functional Connectome: Aberrant Intrinsic Networks in Schizophrenia and Bipolar Disorder
por: Calhoun, Vince D, et al.
Publicado: (2012)

The Pyrimidine Analog FNC Potently Inhibits the Replication of Multiple Enteroviruses
por: Xu, Na, et al.
Publicado: (2020)

An introductory review of parallel independent component analysis (p-ICA) and a guide to applying p-ICA to genetic data and imaging phenotypes to identify disease-associated biological pathways and systems in common complex disorders
por: Pearlson, Godfrey D., et al.
Publicado: (2015)

Age-related, multivariate associations between white matter microstructure and behavioral performance in three executive function domains
por: Anderson, Jacey, et al.
Publicado: (2023)

Azvudine (FNC): a promising clinical candidate for COVID-19 treatment
por: Yu, Bin, et al.
Publicado: (2020)

Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity
por: Sendi, Mohammad S. E., et al.
Publicado: (2021)

Dynamic functional network reconfiguration underlying the pathophysiology of schizophrenia and autism spectrum disorder
por: Fu, Zening, et al.
Publicado: (2020)

A Novel Explainable Fuzzy Clustering Approach for fMRI Dynamic Functional Network Connectivity Analysis
por: Ellis, Charles A., et al.
Publicado: (2023)

The effect of preprocessing in dynamic functional network connectivity used to classify mild traumatic brain injury
por: Vergara, Victor M., et al.
Publicado: (2017)

Multicenter study on the diagnostic performance of multiframe volumetric laser endomicroscopy targets for Barrett’s esophagus neoplasia with histopathology correlation
por: Struyvenberg, M R, et al.
Publicado: (2020)

Nonlinear functional network connectivity in resting functional magnetic resonance imaging data
por: Motlaghian, Sara M., et al.
Publicado: (2022)

Functional Network Overlap as Revealed by fMRI Using sICA and Its Potential Relationships with Functional Heterogeneity, Balanced Excitation and Inhibition, and Sparseness of Neuron Activity
por: Xu, Jiansong, et al.
Publicado: (2015)

Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning
por: Vergara, Victor M., et al.
Publicado: (2018)

Two-step clustering-based pipeline for big dynamic functional network connectivity data
por: Sendi, Mohammad S. E., et al.
Publicado: (2022)

Dissecting Static and Dynamic Functional Connectivity: Example From the Autism Spectrum
por: White, Tonya, et al.
Publicado: (2019)

Impact of flexible noise control (FNC) image processing parameters on portable chest radiography
por: Kirby, Krystal M., et al.
Publicado: (2022)

Joint connectivity matrix independent component analysis: Auto‐linking of structural and functional connectivities
por: Wu, Lei, et al.
Publicado: (2022)

Structural Angle and Power Images Reveal Interrelated Gray and White Matter Abnormalities in Schizophrenia
por: Xu, Lai, et al.
Publicado: (2012)

A Hybrid Machine Learning Method for Fusing fMRI and Genetic Data: Combining both Improves Classification of Schizophrenia
por: Yang, Honghui, et al.
Publicado: (2010)

A Selective Review of Multimodal Fusion Methods in Schizophrenia
por: Sui, Jing, et al.
Publicado: (2012)

Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging
por: Du, Yuhui, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_ainprn4c760vkncaddg9229i2i