Advances in multimodal emotion recognition based on brain–computer interfaces

Z He, Z Li, F Yang, L Wang, J Li, C Zhou, J Pan - Brain sciences, 2020 - mdpi.com
With the continuous development of portable noninvasive human sensor technologies such
as brain–computer interfaces (BCI), multimodal emotion recognition has attracted increasing …

Statistical analysis of fMRI time-series: a critical review of the GLM approach

MM Monti - Frontiers in human neuroscience, 2011 - frontiersin.org
Functional magnetic resonance imaging (fMRI) is one of the most widely used tools to study
the neural underpinnings of human cognition. Standard analysis of fMRI data relies on a …

[PDF][PDF] 14 Statistical analysis of activation images

KJ Worsley - Functional MRI: An introduction to methods., 2001 - ndl.ethernet.edu.et
In many experiments several different stimuli are presented. In the experiment used to
illustrate the methods in this chapter, a subject was given a painful heat stimulus (49 C) to …

Variation of BOLD hemodynamic responses across subjects and brain regions and their effects on statistical analyses

DA Handwerker, JM Ollinger, M D'Esposito - Neuroimage, 2004 - Elsevier
Estimates of hemodynamic response functions (HRF) are often integral parts of event-
related fMRI analyses. Although HRFs vary across individuals and brain regions, few studies …

The statistical analysis of fMRI data

MA Lindquist - 2008 - projecteuclid.org
In recent years there has been explosive growth in the number of neuroimaging studies
performed using functional Magnetic Resonance Imaging (fMRI). The field that has grown …

Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling

MA Lindquist, JM Loh, LY Atlas, TD Wager - Neuroimage, 2009 - Elsevier
Most brain research to date have focused on studying the amplitude of evoked fMRI
responses, though there has recently been an increased interest in measuring onset, peak …

Fast fMRI can detect oscillatory neural activity in humans

LD Lewis, K Setsompop, BR Rosen… - Proceedings of the …, 2016 - National Acad Sciences
Oscillatory neural dynamics play an important role in the coordination of large-scale brain
networks. High-level cognitive processes depend on dynamics evolving over hundreds of …

[KNJIGA][B] The statistical analysis of functional MRI data

N Lazar - 2008 - books.google.com
The study of brain function is one of the most fascinating pursuits of m-ern science.
Functional neuroimaging is an important component of much of the current research in …

The general linear model and fMRI: does love last forever?

JB Poline, M Brett - Neuroimage, 2012 - Elsevier
In this review, we first set out the general linear model (GLM) for the non technical reader, as
a tool able to do both linear regression and ANOVA within the same flexible framework. We …

Just because you're imaging the brain doesn't mean you can stop using your head: a primer and set of first principles.

JT Cacioppo, GG Berntson, TS Lorig… - Journal of personality …, 2003 - psycnet.apa.org
Developments within the neurosciences, cognitive sciences, and social sciences have
contributed to the emergence of social neuroscience. Among the most obvious …