Boosting factor‐specific functional historical models for the detection of synchronization in bioelectrical signals (2016-09-20T00:00:00.000000Z)

TL;DR

To analyse the functional relationship between electroencephalography and facial electromyography, historical function‐on‐function regression models are applied to data that were simultaneously recorded from 24 participants while they were playing a computerized gambling task.

Abstract

The link between different psychophysiological measures during emotion episodes is not well understood. To analyse the functional relationship between electroencephalography and facial electromyography, we apply historical function‐on‐function regression models to electroencephalography and electromyography data that were simultaneously recorded from 24 participants while they were playing a computerized gambling task. Given the complexity of the data structure for this application, we extend simple functional historical models to models including random historical effects, factor‐specific historical effects and factor‐specific random historical effects. Estimation is conducted by a componentwise gradient boosting algorithm, which scales well to large data sets and complex models.

Authors

K. Scherer

2 papers

D. Rügamer

1 papers

S. Brockhaus

1 papers

TL;DR

Abstract

Authors

References75 items

A general framework for functional regression modelling

Comparison and contrast of two general functional regression modelling frameworks

Boosting flexible functional regression models with a high number of functional historical effects

Signal regression models for location, scale and shape with an application to stock returns

Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates

Generalized Functional Additive Mixed Models

Identifiability in penalized function-on-function regression models

Bayesian function‐on‐function regression for multilevel functional data

The functional linear array model

Controlling false discoveries in high-dimensional situations: boosting with stability selection

gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework

Functional Regression

Coherence explored between emotion components: Evidence from event-related potentials and facial electromyography

Beyond mean regression

Nonlinear estimation of coupling and directionality between signals: Application to uterine EMG propagation

Applications of functional data analysis: A systematic review

Functional Additive Mixed Models

Generalized additive models for location, scale and shape for high dimensional data—a flexible approach based on boosting

Geoadditive expectile regression

Conditional transformation models

Time Series Modeling of Neuroscience Data

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression

Variable selection with error control: another look at stability selection

Dynamic Retrospective Regression for Functional Data

A Framework for Unbiased Model Selection Based on Boosting

Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models

The Oxford Companion to Emotion and the Affective Sciences

Estimation and regularization techniques for regression models with multidimensional prediction functions

Correlation between EEG-EMG coherence during isometric contraction and its imaginary execution.

The dynamic architecture of emotion: Evidence for the component process model

Variable Selection and Model Choice in Geoadditive Regression Models

Boosting additive models using component-wise P-Splines

Stability selection

Time course and robustness of ERP object and face differences.

BOOSTING ALGORITHMS: REGULARIZATION, PREDICTION AND MODEL FITTING

Penalized solutions to functional regression problems

A Wrist-Worn Integrated Health Monitoring Instrument with a Tele-Reporting Device for Telemedicine and Telecare

EEG-EMG coherence enhancement

Generalized linear array models with applications to multidimensional smoothing

Generalized Additive Models

Boosting with early stopping: Convergence and consistency

Coherence Between Time Series

Generalized additive models for location, scale and shape

Semiparametric Regression

The historical functional linear model

EEG–EMG, MEG–EMG and EMG–EMG frequency analysis: physiological principles and clinical applications

Event synchronization: a simple and fast method to measure synchronicity and time delay patterns.

Greedy function approximation: A gradient boosting machine.

Functional coupling of human right and left cortical motor areas demonstrated with partial coherence analysis

Electroencephalographic measurement of motor cortex control of muscle activity in humans

Cortical drives to human muscle: the Piper and related rhythms

Electroencephalographic analysis of cortico-muscular coherence: reference effect, volume conduction and generator mechanism

Event-related EEG/MEG synchronization and desynchronization: basic principles

Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior: Comment

Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior

Functional Data Analysis

Flexible smoothing with B-splines and penalties

Robust Estimation of a Location Parameter

2016) mboost: Model-Based Boosting. URL: http://CRAN.R-project.org/package=mboost. R package version 2.6-0

mboost : Model - Based Boosting

FDboost : boosting functional rgression models . R Package Version 0 . 2 - 0

Penalized scalar-on-functions regression with interaction term

R: A language and environment for statistical computing.

Special issue: Whither concordance? autonomic psychophysiology and the behaviors and cognitions of emotional responsivity

refund: Regression with Functional Data

Rank-based p-values for sparse high-dimensional risk prediction models fitted by componentwise boosting

Synchronization ( and emotion )

Linear Mixed Models

BMC Bioinformatics BioMed Central Methodology article Flexible boosting of accelerated failure time models

Event-related potentials : a methods handbook

Biosignal and Medical Image Processing

Semiparametric Regression: Author Index

FUNDAMENTALS OF EEG MEASUREMENT

The neuropsychology of facial expression: a review of the neurological and psychological mechanisms for producing facial expressions.

Bootstrap Methods: Another Look at the Jackknife

Field of Study