From gaze cueing to dual eye-tracking: novel approaches to investigate the neural correlates of gaze in social interaction
UJ Pfeiffer, K Vogeley, L Schilbach - Neuroscience & Biobehavioral …, 2013 - Elsevier
Tracking eye-movements provides easy access to cognitive processes involved in visual
and sensorimotor processing. More recently, the underlying neural mechanisms have been …
and sensorimotor processing. More recently, the underlying neural mechanisms have been …
“Stay tuned”: inter-individual neural synchronization during mutual gaze and joint attention
Eye contact provides a communicative link between humans, prompting joint attention. As
spontaneous brain activity might have an important role in the coordination of neuronal …
spontaneous brain activity might have an important role in the coordination of neuronal …
Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic resonance imaging
The default mode network is part of the brain structure that shows higher neural activity and
energy consumption when one is at rest. The key regions in the default mode network are …
energy consumption when one is at rest. The key regions in the default mode network are …
Spatially adaptive mixture modeling for analysis of fMRI time series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain
regions eliciting evoked activity and the estimation of the underlying dynamics. In Makni …
regions eliciting evoked activity and the estimation of the underlying dynamics. In Makni …
Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach
In standard within-subject analyses of event-related functional magnetic resonance imaging
(fMRI) data, two steps are usually performed separately: detection of brain activity and …
(fMRI) data, two steps are usually performed separately: detection of brain activity and …
Integrated MEG/EEG and fMRI model based on neural masses
We introduce a bottom-up model for integrating electroencephalography (EEG) or
magnetoencephalography (MEG) with functional magnetic resonance imaging (fMRI). An …
magnetoencephalography (MEG) with functional magnetic resonance imaging (fMRI). An …
Nonlinear local electrovascular coupling. I: A theoretical model
Here we present a detailed biophysical model of how brain electrical and vascular dynamics
are generated within a basic cortical unit. The model was obtained from coupling a …
are generated within a basic cortical unit. The model was obtained from coupling a …
Nonlinear local electrovascular coupling. II: From data to neuronal masses
In the companion article a local electrovascular coupling (LEVC) model was proposed to
explain the continuous dynamics of electrical and vascular states within a cortical unit …
explain the continuous dynamics of electrical and vascular states within a cortical unit …
Fusing EEG and fMRI based on a bottom-up model: inferring activation and effective connectivity in neural masses
The elucidation of the complex machinery used by the human brain to segregate and
integrate information while performing high cognitive functions is a subject of imminent …
integrate information while performing high cognitive functions is a subject of imminent …
Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systems
Dynamic connectivity networks identify directed interregional interactions between modeled
brain regions in neuroimaging. However, problems arise when the regions involved in a task …
brain regions in neuroimaging. However, problems arise when the regions involved in a task …