Non-Conscious Perception of Emotions in Psychiatric Disorders: The Unsolved Puzzle of Psychopathology

Psychophysiological and functional neuroimaging studies have frequently and consistently shown that emotional information can be processed outside of the conscious awareness. Non-conscious processing comprises automatic, uncontrolled, and fast processing that occurs without subjective awareness. However, how such non-conscious emotional processing occurs in patients with various psychiatric disorders requires further examination. In this article, we reviewed and discussed previous studies on the non-conscious emotional processing in patients diagnosed with anxiety disorder, schizophrenia, bipolar disorder, and depression, to further understand how non-conscious emotional processing varies across these psychiatric disorders. Although the symptom profile of each disorder does not often overlap with one another, these patients commonly show abnormal emotional processing based on the pathology of their mood and cognitive function. This indicates that the observed abnormalities of emotional processing in certain social interactions may derive from a biased mood or cognition process that precedes consciously controlled and voluntary processes. Since preconscious forms of emotional processing appear to have a major effect on behaviour and cognition in patients with these disorders, further investigation is required to understand these processes and their impact on patient pathology.

Technical Improvement of Functional MRI for Clinical Application

BACKGROUND: Functional MRI is a new neuroimaging method that detects focal blood flow change associated with neural activation. This study aimed at improving it for use as a clinical test. METHODS: We separated image reconstruction from scan acquisition as an off-line process, systematized post-processing stages, and employed SPM96 package for statistical analysis. Tasks easy enough for most neurological patients were designed for activation of motor, somatosensory, visual, and language areas. From twenty consecutive patients admitted to neurology wards, frequency of expected activation and inactivation among defined regions of interest was obtained as a measure of sensitivity and quasi-specificity. RESULTS: It took about 4 minutes for data acquisition per task condition. Thus within half an hour all four tasks were tested in cooperative patients. Post-processing took about an hour per task condition, using PC-based analysis packages. Sensitivity and quasi-specificity were about 70% and 90%, respectively. CONCLUSIONS: Our newly developed method shortened the time for fMRI acquisition and systematized post-scan analysis. Data obtained from patients showed acceptable reliability for clinical use, but further research and improvement should be necessary.