Recognizing facial expressions is dependent on multiple brain networks specialized for different cognitive functions. In the current study, participants (N = 20) were scanned using functional magnetic resonance imaging (fMRI), while they performed a covert facial expression naming task. Immediately prior to scanning thetaburst transcranial magnetic stimulation (TMS) was delivered over the right lateral prefrontal cortex (PFC), or the vertex control site. A group whole-brain analysis revealed that TMS induced opposite effects in the neural responses across different brain networks. Stimulation of the right PFC (compared to stimulation of the vertex) decreased neural activity in the left lateral PFC but increased neural activity in three node...
Neuroimaging and electrophysiological studies provide evidence of hemispheric differences in process...
SummaryBackgroundRegions in human frontal cortex may have modulatory top-down influences on retinoto...
Adaptive behavior relies on combining bottom-up sensory inputs with top-down control signals to guid...
Humans process faces using a network of face-selective regions distributed across the brain. Neurops...
Facial recognition relies on distinct and parallel types of processing: featural processing focuses ...
Neuroimaging and electrophysiological studies have shown the involvement of a fronto-temporo-occipit...
Converging neuroimaging and patient data suggest that the dorsolateral prefrontal cortex (DLPFC) is ...
The interaction between dorsal and ventral attention networks (VANs) is mediated by the middle front...
Prior studies demonstrate that a face-responsive region in the posterior superior temporal sulcus (p...
SummaryFaces contain structural information, for identifying individuals, as well as changeable info...
Faces are multi-dimensional stimuli bearing important social signals, such as gaze direction and emo...
It is proposed that feedback signals from the prefrontal cortex (PFC) to extrastriate cortex are ess...
International audienceFaces are multi-dimensional stimuli bearing many important social communicativ...
Transcranial Magnetic Stimulation (TMS) allows for the direct activation of neurons in the human neo...
Applying a precisely timed pulse of transcranial magnetic stimulation (TMS) over the right posterior...
Neuroimaging and electrophysiological studies provide evidence of hemispheric differences in process...
SummaryBackgroundRegions in human frontal cortex may have modulatory top-down influences on retinoto...
Adaptive behavior relies on combining bottom-up sensory inputs with top-down control signals to guid...
Humans process faces using a network of face-selective regions distributed across the brain. Neurops...
Facial recognition relies on distinct and parallel types of processing: featural processing focuses ...
Neuroimaging and electrophysiological studies have shown the involvement of a fronto-temporo-occipit...
Converging neuroimaging and patient data suggest that the dorsolateral prefrontal cortex (DLPFC) is ...
The interaction between dorsal and ventral attention networks (VANs) is mediated by the middle front...
Prior studies demonstrate that a face-responsive region in the posterior superior temporal sulcus (p...
SummaryFaces contain structural information, for identifying individuals, as well as changeable info...
Faces are multi-dimensional stimuli bearing important social signals, such as gaze direction and emo...
It is proposed that feedback signals from the prefrontal cortex (PFC) to extrastriate cortex are ess...
International audienceFaces are multi-dimensional stimuli bearing many important social communicativ...
Transcranial Magnetic Stimulation (TMS) allows for the direct activation of neurons in the human neo...
Applying a precisely timed pulse of transcranial magnetic stimulation (TMS) over the right posterior...
Neuroimaging and electrophysiological studies provide evidence of hemispheric differences in process...
SummaryBackgroundRegions in human frontal cortex may have modulatory top-down influences on retinoto...
Adaptive behavior relies on combining bottom-up sensory inputs with top-down control signals to guid...