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Network approach has been applied to a wide variety of psychiatric disorders. The aim of the present study was to identify network structures of remitters and non-remitters in patients with first-episode psychosis (FEP) at baseline and the 6-month follow-up.
Methods
Participants (n = 252) from the Korean Early Psychosis Study (KEPS) were enrolled. They were classified as remitters or non-remitters using Andreasen's criteria. We estimated network structure with 10 symptoms (three symptoms from the Positive and Negative Syndrome Scale, one depressive symptom, and six symptoms related to schema and rumination) as nodes using a Gaussian graphical model. Global and local network metrics were compared within and between the networks over time.
Results
Global network metrics did not differ between the remitters and non-remitters at baseline or 6 months. However, the network structure and nodal strengths associated with positive-self and positive-others scores changed significantly in the remitters over time. Unique central symptoms for remitters and non-remitters were cognitive brooding and negative-self, respectively. The correlation stability coefficients for nodal strength were within the acceptable range.
Conclusion
Our findings indicate that network structure and some nodal strengths were more flexible in remitters. Negative-self could be an important target for therapeutic intervention.
This chapter reviews functional neuroimaging studies in animals and humans aimed at better understanding the peculiar cerebral mode. It presents evidence that brain activity during rapid eye movement (REM) sleep is influenced by previous experience, suggesting the participation of REM sleep in memory consolidation. Functional neuroimaging research specifically devoted to the characterization of dream correlates has been conducted only during REM sleep. Indeed, mentation during REM sleep is more abundant, vivid, and story-like and hence more detailed dream reports can be obtained from REM than from slow-wave sleep. Motor behavior and movements probably activate motor-related brain areas during REM sleep. A growing body of data indicates that patterns of neural activity prevailing during sleep support offline processing of newly acquired information. The chapter concludes with comments on the difficulty in interpreting functional imaging of REM sleep in terms of neural correlates of dreaming.
The neuroimaging studies have provided new information about brain abnormalities in narcolepsy patients. Differences in brain morphology that are not identifiable by routine visual inspection of individual brain magnetic resonance imaging (MRI) can be investigated using voxel-based morphometry (VBM). The VBM method has some limitations in representing gray matter morphology, and localization in the sulcal regions where the fine details of the anatomy are often obscured by a partial volume effect. On the other hand, the thickness of the cerebral cortex reflects the density and arrangement of cells. Measuring cortical thickness using the cortical surface method has been suggested in studies of gray matter morphometry as a strategy for overcoming the limitation of volumetric analyses. Higher tesla MRI scanners and further development of analysis software of brain MR images are able to better characterize the structural changes in narcoleptic brains.