Cargando…

Semiparametric Estimation of Task-Based Dynamic Functional Connectivity on the Population Level

Dynamic functional connectivity (dFC) estimates time-dependent associations between pairs of brain region time series as typically acquired during functional MRI. dFC changes are most commonly quantified by pairwise correlation coefficients between the time series within a sliding window. Here, we a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kudela, Maria A., Dzemidzic, Mario, Oberlin, Brandon G., Lin, Zikai, Goñi, Joaquín, Kareken, David A., Harezlak, Jaroslaw
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2019
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598619/ https://www.ncbi.nlm.nih.gov/pubmed/31293367 http://dx.doi.org/10.3389/fnins.2019.00583

Ejemplares similares

Semiparametric regression with R
por: Harezlak, Jaroslaw, et al.
Publicado: (2018)

Family history of alcoholism and the human brain response to oral sucrose
por: Eiler, William J.A., et al.
Publicado: (2017)

Brain responses during delay discounting in youth at high-risk for substance use disorders
por: Butcher, Tarah J., et al.
Publicado: (2021)

Delay discounting and alcohol consumption correlate with dorsal anterior insula activation during choice in nontreatment‐seeking heavy drinkers
por: Halcomb, Meredith, et al.
Publicado: (2022)

Tangent functional connectomes uncover more unique phenotypic traits
por: Abbas, Kausar, et al.
Publicado: (2023)

Incorporation of spatial- and connectivity-based cortical brain region information in regularized regression: Application to Human Connectome Project data
por: Steiner, Aleksandra, et al.
Publicado: (2022)

A morphospace of functional configuration to assess configural breadth based on brain functional networks
por: Duong-Tran, Duy, et al.
Publicado: (2021)

Efficient and adaptive estimation for semiparametric models /
Publicado: (1993)

Estimation in semiparametric models: some recent developments
por: Pfanzagl, Johann
Publicado: (1990)

Semiparametric maximum likelihood probability density estimation
por: Kwasniok, Frank
Publicado: (2021)

Semiparametric regression
por: Ruppert, David, et al.
Publicado: (2003)

The art of semiparametrics
por: Sperlich, Stefan, et al.
Publicado: (2006)

Robust Z-Estimators for Semiparametric Moment Condition Models
por: Toma, Aida
Publicado: (2023)

Nonparametric and semiparametric models
por: Härdle, Wolfgang, et al.
Publicado: (2004)

Semiparametric methods in econometrics /
por: Horowitz, Joel
Publicado: (1998)

Semiparametric methods in econometrics
por: Horowitz, Joel L
Publicado: (1998)

Semiparametric Theory and Missing Data
por: Tsiatis, Anastasios A
Publicado: (2006)

Positive Connectivity Predicts the Dynamic Intrinsic Topology of the Human Brain Network
por: Qian, Jingyu, et al.
Publicado: (2018)

The apéritif effect: alcohol's effects on the brain's response to food aromas in women
por: Eiler, William J.A., et al.
Publicado: (2015)

Maximum likelihood estimation for semiparametric transformation models with interval-censored data
por: Zeng, Donglin, et al.
Publicado: (2016)

Semiparametric estimation of the attributable fraction when there are interactions under monotonicity constraints
por: Wang, Wei, et al.
Publicado: (2020)

Semiparametric regression for the social sciences
por: Keele, Luke John
Publicado: (2008)

Semiparametric and nonparametric methods in econometrics
por: Horowitz, Joel L
Publicado: (2009)

Semiparametric regression for the social sciences
por: Keele, Luke, 1974-
Publicado: (2008)

Semiparametric modeling of implied volatility
por: Fengler, Matthias R
Publicado: (2005)

Semiparametric Modeling of Daily Ammonia Levels in Naturally Ventilated Caged-Egg Facilities
por: Gutiérrez-Zapata, Diana María, et al.
Publicado: (2016)

Brain response in heavy drinkers during cross-commodity alcohol and money discounting with potentially real rewards: A preliminary study
por: Lungwitz, Elizabeth A., et al.
Publicado: (2023)

Estimating equivalence scales and non-food needs in Egypt: Parametric and semiparametric regression modeling
por: Awwad, Fuad A., et al.
Publicado: (2021)

Non-stationary Group-Level Connectivity Analysis for Enhanced Interpretability of Oddball Tasks
por: Padilla-Buritica, Jorge I., et al.
Publicado: (2020)

Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data
por: Zeng, Donglin, et al.
Publicado: (2017)

Quantile estimation of semiparametric model with time-varying coefficients for panel count data
por: Wang, Yijun, et al.
Publicado: (2021)

Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation
por: Wong, Kin Yau, et al.
Publicado: (2022)

Practical nonparametric and semiparametric bayesian statistics
por: Dey, Dipak, et al.
Publicado: (1998)

Introduction to empirical processes and semiparametric inference
por: Kosorok, Michael R
Publicado: (2008)

Practical nonparametric and semiparametric Bayesian statistics /
Publicado: (1998)

Stressed portfolio optimization with semiparametric method
por: Han, Chuan-Hsiang, et al.
Publicado: (2022)

Task-related functional connectivity dynamics in a block-designed visual experiment
por: Di, Xin, et al.
Publicado: (2015)

Statistical Generalized Derivative Applied to the Profile Likelihood Estimation in a Mixture of Semiparametric Models
por: Hirose, Yuichi, et al.
Publicado: (2020)

CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy
por: Fenga, Livio
Publicado: (2021)

Semiparametric estimation of the proportional rates model for recurrent events data with missing event category
por: Lin, Feng-Chang, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_5221m2ff4bqu57hsnsiosu700g