“Cortical Systems for the Recognition of Emotion in Facial Expressions.”
Department of Neurology, University of Iowa College of Medicine, Iowa City 52242, USA.The Journal of Neuroscience : The Official Journal of the Society for Neuroscience (Impact Factor: 6.34). 01/1997; 16(23):7678-87.
This study is part of an effort to map neural systems involved in the processing of emotion, and it focuses on the possible cortical components of the process of recognizing facial expressions. We hypothesized that the cortical systems most responsible for the recognition of emotional facial expressions would draw on discrete regions of right higher-order sensory cortices and that the recognition of specific emotions would depend on partially distinct system subsets of such cortical regions. We tested these hypotheses using lesion analysis in 37 subjects with focal brain damage. Subjects were asked to recognize facial expressions of six basic emotions: happiness, surprise, fear, anger, disgust, and sadness. Data were analyzed with a novel technique, based on three-dimensional reconstruction of brain images, in which anatomical description of surface lesions and task performance scores were jointly mapped onto a standard brain-space. We found that all subjects recognized happy expressions normally but that some subjects were impaired in recognizing negative emotions, especially fear and sadness. The cortical surface regions that best correlated with impaired recognition of emotion were in the right inferior parietal cortex and in the right mesial anterior infracalcarine cortex. We did not find impairments in recognizing any emotion in subjects with lesions restricted to the left hemisphere. These data provide evidence for a neural system important to processing facial expressions of some emotions, involving discrete visual and somatosensory cortical sectors in right hemisphere.
Full-text previewDOI: · Available from: jneurosci.org
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed. The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual current impact factor. Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence agreement may be applicable.
[Show abstract] [Hide abstract]
- "relate to abnormal functioning in the underlying neural network. Studies of cerebral networks for emotional behaviour in animals and humans have implicated cortical regions including the orbitofrontal , dorsolateral prefrontal and temporal cortex, parts of the parietal cortex and the limbic system, primarily the amygdala, hypothalamus and the mesocorticolimbic dopaminergic systems (LeDoux 1995; Adolphs et al. 1996). Previous research indicates that the TAR modifi es activity in neural processes by increasing activation in the left middle and superior occipital lobe, the right inferior and superior parietal cortex, and the inferior frontal cortex bilaterally accompanied by improved affect recognition (Habel et al. 2010). "
ABSTRACT: Training of Affect Recognition (TAR) is a useful approach to restoring cognitive function in schizophrenic patients. Along with improving visual exploration of faces and altering central information processing in relevant brain areas, TAR attenuates impairments in facial affect recognition. In the present study, we investigate the effects of TAR on early electrophysiological correlates of facial affect recognition in schizophrenia. The study population comprised 12 schizophrenic patients and 14 healthy controls. In each individual, we carried out EEG, concomitant measurements of scanning eye movements and fixation-based low resolution electromagnetic tomography (sLORETA) analyses of brain electric activity. All analyses were performed at baseline and after participation in TAR. In patients, brain activation patterns significantly changed after completing the TAR. Functional improvements were particularly pronounced in the superior parietal and inferior parietal lobes, where trained patients showed a larger increase in activation than untrained healthy controls. The TAR activates compensatory brain processes involved in the perception, attention and evaluation of emotional stimuli. This may underlie the established behavioral effects of the TAR in schizophrenic patients, which include improvements in facial affect recognition and alterations of visual exploration strategies.The World Journal of Biological Psychiatry 07/2015; 16(6):1-11. DOI:10.3109/15622975.2015.1051110 · 4.18 Impact Factor
[Show abstract] [Hide abstract]
- ". For second-level group analyses we spatially restricted the analysis to an anatomically defined mesocorticolimbic mask including bilaterally the dorsolateral prefrontal cortex (DLPFC), anterior prefrontal cortex, inferior orbitofrontal gyrus (OFG), superior frontal gyrus (SFG), insula, hippocampus and parahippocampal gyrus, thalamus, pallidum, striatum, and fusiform gyrus, to focus our analysis on a circuitry known to be relevant to emotion and reward processing (Adolphs et al. 1996; Becerra et al. 2001; Müller-Oehring et al. 2013; Volkow and Li 2004). To compare processing of alcohol-related pictures with that of emotional faces, first-level individual contrast images were subjected to a second-level factorial model with group (alcoholics vs. controls) as independent between-subject factor and condition (alcoholic beverages, happy faces, angry faces, sad faces) as dependent within-subject factor. "
ABSTRACT: Abstract Heightened neural responsiveness of alcoholics to alcohol cues and social emotion may impede sobriety. To test mesocorticolimbic network responsivity, 10 (8 men) alcohol use disorder (AUD) patients sober for 3 weeks to 10 months and 11 (8 men) controls underwent fMRI whilst viewing pictures of alcohol and non-alcohol beverages and of emotional faces (happy, sad, angry). AUD and controls showed similarities in mesocorticolimbic activity: both groups activated fusiform for emotional faces and hippocampal and pallidum regions during alcohol picture processing. In AUD, less fusiform activity to emotional faces and more pallidum activity to alcohol pictures were associated with longer sobriety. Using graph theory-based network efficiency measures to specify the role of the mesocorticolimbic network nodes for emotion and reward in sober AUD revealed that the left hippocampus was less efficiently connected with the other task-activated network regions in AUD than controls when viewing emotional faces, while the pallidum was more efficiently connected when viewing alcohol beverages. Together our findings identified lower occipito-temporal sensitivity to emotional faces and enhanced striatal sensitivity to alcohol stimuli in AUD than controls. Considering the role of the striatum in encoding reward, its activation enhancement with longer sobriety may reflect adaptive neural changes in the first year of drinking cessation and mesocorticolimbic system vulnerability for encoding emotional salience and reward potentially affecting executiveBrain Imaging and Behavior 04/2015; DOI:10.1007/s11682-015-9374-8 · 4.60 Impact Factor
[Show abstract] [Hide abstract]
- "Single neuron recordings show that activity in the STS is automatically tuned to predict actions.6–8,96 Neuronal recordings in the STS and functional MRI imaging of the TPJ report that this region is poised to quickly and preferentially respond to social threat and fear.8,97,98 "
ABSTRACT: The content, modality, and perceptual attributes of hallucinations and other psychotic symptoms may be related to neural representation at a single cell and population level in the cerebral cortex. A brief survey of some principles and examples of cortical representation and organization will be presented together with evidence for a correspondence between the neurobiology of brain areas activated at the time of a hallucination and the content of the corresponding hallucinatory and psychotic experiences. Contrasting the hallucinations of schizophrenia with other conditions, we highlight phenomenological aspects of hallucinations that are ignored in clinical practice but carry potentially important information about the brain regions and dysfunctions underlying them. Knowledge of cortical representation and organization are being used to develop animal models of hallucination and to test treatments that are now beginning to translate to the clinical domain.Schizophrenia Bulletin 07/2014; 40 Suppl 4(Suppl 4):S305-16. DOI:10.1093/schbul/sbu041 · 8.45 Impact Factor