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1.
Hum Brain Mapp ; 38(6): 3277-3288, 2017 06.
Article in English | MEDLINE | ID: mdl-28370735

ABSTRACT

Spontaneous thinking, an action to produce, consider, integrate, and reason through mental representations, is central to our daily experience and has been suggested to serve crucial adaptive purposes. Such thinking occurs among other experiences during mind wandering that is associated with activation of the default mode network among other brain circuitries. Whether and how such brain activation is linked to the experience of spontaneous thinking per se remains poorly known. We studied 51 healthy subjects using a comprehensive experience-sampling paradigm during 3T functional magnetic resonance imaging. In comparison with fixation, the experiences of spontaneous thinking and spontaneous perception were related to activation of wide-spread brain circuitries, including the cortical midline structures, the anterior cingulate cortex and the visual cortex. In direct comparison of the spontaneous thinking versus spontaneous perception, activation was observed in the anterior dorsomedial prefrontal cortex. Modality congruence of spontaneous-experience-related brain activation was suggested by several findings, including association of the lingual gyrus with visual in comparison with non-verbal-non-visual thinking. In the context of current literature, these findings suggest that the cortical midline structures are involved in the integrative core substrate of spontaneous thinking that is coupled with other brain systems depending on the characteristics of thinking. Furthermore, involvement of the anterior dorsomedial prefrontal cortex suggests the control of high-order abstract functions to characterize spontaneous thinking per se. Hum Brain Mapp 38:3277-3288, 2017. © 2017 Wiley Periodicals, Inc.


Subject(s)
Comprehension/physiology , Prefrontal Cortex/physiology , Thinking/physiology , Adult , Attention/physiology , Brain Mapping , Female , Healthy Volunteers , Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Male , Models, Neurological , Neuropsychological Tests , Oxygen , Perception/physiology , Photic Stimulation , Prefrontal Cortex/diagnostic imaging , Verbal Behavior , Young Adult
2.
Psychol Med ; 47(3): 495-506, 2017 Feb.
Article in English | MEDLINE | ID: mdl-27776563

ABSTRACT

BACKGROUND: While group-level functional alterations have been identified in many brain regions of psychotic patients, multivariate machine-learning methods provide a tool to test whether some of such alterations could be used to differentiate an individual patient. Earlier machine-learning studies have focused on data collected from chronic patients during rest or simple tasks. We set out to unravel brain activation patterns during naturalistic stimulation in first-episode psychosis (FEP). METHOD: We recorded brain activity from 46 FEP patients and 32 control subjects viewing scenes from the fantasy film Alice in Wonderland. Scenes with varying degrees of fantasy were selected based on the distortion of the 'sense of reality' in psychosis. After cleaning the data with a novel maxCorr method, we used machine learning to classify patients and healthy control subjects on the basis of voxel- and time-point patterns. RESULTS: Most (136/194) of the voxels that best classified the groups were clustered in a bilateral region of the precuneus. Classification accuracies were up to 79.5% (p = 5.69 × 10-8), and correct classification was more likely the higher the patient's positive-symptom score. Precuneus functioning was related to the fantasy content of the movie, and the relationship was stronger in control subjects than patients. CONCLUSIONS: These findings are the first to show abnormalities in precuneus functioning during naturalistic information processing in FEP patients. Correlational findings suggest that these alterations are associated with positive psychotic symptoms and processing of fantasy. The results may provide new insights into the neuronal basis of reality distortion in psychosis.


Subject(s)
Fantasy , Functional Neuroimaging/methods , Machine Learning , Parietal Lobe/physiopathology , Psychotic Disorders/physiopathology , Adult , Female , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Motion Pictures , Young Adult
3.
Psychol Med ; 46(13): 2741-8, 2016 10.
Article in English | MEDLINE | ID: mdl-27425380

ABSTRACT

BACKGROUND: Delusion is the most characteristic symptom of psychosis. While researchers suggested an association between changes of the cortical salience network (CSN) and delusion, whether these CSN findings are a cause or a consequence of delusion remains unknown. METHOD: To assess the effect of CSN functioning to forthcoming changes in delusion scores, we measured brain activation with 3-T functional magnetic resonance imaging in two independent samples of first-episode psychosis patients (total of 27 patients and 23 healthy controls). During scanning, the patients evaluated statements about whether an individual's psychosis-related experiences should be described as a mental illness, and control statements that were also evaluated by healthy controls. Symptoms were assessed at the baseline and at 2 months follow-up with Brief Psychiatric Rating Scale. RESULTS: Both tasks activated the CSN in comparison with rest. Activation of CSN ('illness evaluation v. control task' contrast) in patients positively correlated with worsening of or less improvement in delusions at the 2-month follow-up assessment. This finding was independent of delusion and clinical insight scores at the baseline evaluation. CONCLUSIONS: Our findings link symptom-evaluation-related CSN functioning to severity of delusion and, importantly, add a new layer of evidence for the contribution of CSN functioning to the longitudinal course of delusions.


Subject(s)
Cerebral Cortex/physiopathology , Delusions/physiopathology , Disease Progression , Nerve Net/physiopathology , Psychotic Disorders/physiopathology , Adult , Cerebral Cortex/diagnostic imaging , Delusions/diagnostic imaging , Female , Follow-Up Studies , Humans , Magnetic Resonance Imaging , Male , Nerve Net/diagnostic imaging , Psychotic Disorders/diagnostic imaging , Severity of Illness Index , Young Adult
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