Background And Objectives: Cognitive processes such as aberrant salience and the jumping to conclusions (JTC) bias are implicated in the development of delusions. Self-referential thinking is implicated in this process; however, it is unknown how it may interact with aberrant salience and JTC bias in individuals with schizophrenia-spectrum disorders (SSDs). This study examined associations of self-referential thinking with aberrant salience, JTC bias, and delusion severity, and whether self-referential stimuli led to an increase in aberrant salience and JTC bias in SSDs (n = 20) relative to psychiatrically healthy controls (n = 20).
Methods: To assess aberrant salience and JTC bias, participants were asked to complete both self-referential and neutral versions of the Salience Attribution Test (SAT) and the Beads Task, as well as self-report measures of aberrant salience and JTC bias.
Results: Self-referential task condition interacted with clinical group to predict JTC beads task scores, such that participants with SSDs exhibited greater levels of JTC bias than psychiatrically healthy controls during the neutral task condition, when controlling for levels of motivation, cognitive insight, and functioning. Self-referential thinking was significantly associated with aberrant salience, JTC bias, and delusion severity.
Limitations: This experiment examined trait-level relationships between variables, so does not provide information about state-level interrelationships and would benefit from replication using more dynamic methods such as ecological momentary assessment.
Conclusions: These findings highlight the interrelationships between self-referential thinking, JTC bias, aberrant salience, and delusion severity, in individuals with SSDs, and support the interactive role of self-referential thinking in predicting JTC bias.
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http://dx.doi.org/10.1016/j.jbtep.2023.101935 | DOI Listing |
Hum Brain Mapp
January 2025
Division of Brain, Imaging, and Behaviour, Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada.
A fundamental issue in neuroscience is a lack of understanding regarding the relationship between brain function and the white matter architecture that supports it. Individuals with chronic neuropathic pain (NP) exhibit functional abnormalities throughout brain networks collectively termed the "dynamic pain connectome" (DPC), including the default mode network (DMN), salience network, and ascending nociceptive and descending pain modulation systems. These functional abnormalities are often observed in a sex-dependent fashion.
View Article and Find Full Text PDFBr J Psychiatry
January 2025
Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, Canada.
Background: Working memory deficit, a key feature of schizophrenia, is a heritable trait shared with unaffected siblings. It can be attributed to dysregulation in transitions from one brain state to another.
Aims: Using network control theory, we evaluate if defective brain state transitions underlie working memory deficits in schizophrenia.
Psychol Med
January 2025
Department of Psychiatry, Wroclaw Medical University, Pasteura 10 Street, 50-367 Wroclaw, Poland.
Background: Psychotic-like experiences (PLEs) are subclinical phenomena that often precede the onset of psychosis and occur in various mental disorders. Social determinants of psychosis and PLEs are important and have been operationalized within the social defeat (SD) hypothesis. The SD hypothesis posits that low social status and exposure to repeated humiliation can lead to imbalanced dopamine neuron activity, and thus increased risk of psychosis.
View Article and Find Full Text PDFBrain Topogr
January 2025
Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA.
Aberrant large-scale resting-state functional connectivity (rsFC) has been frequently documented in ischemic stroke. However, it remains unclear about the altered patterns of within- and across-network connectivity. The purpose of this meta-analysis was to identify the altered rsFC in patients with ischemic stroke relative to healthy controls, as well as to reveal longitudinal changes of network dysfunctions across acute, subacute, and chronic phases.
View Article and Find Full Text PDFJ Affect Disord
December 2024
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, People's Republic of China; Tianjin Key Laboratory of Brain Science and Neural Engineering, Tianjin University, Tianjin, People's Republic of China; Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration, Tianjin, People's Republic of China. Electronic address:
Generalized anxiety disorder (GAD) is a common anxiety disorder characterized by excessive, uncontrollable worry and physical symptoms such as difficulty concentrating and sleep disturbances. Although functional magnetic resonance imaging (fMRI) studies have reported aberrant network-level activity related to cognition and emotion in GAD, its low temporal resolution restricts its ability to capture the rapid neural activity in mental processes. EEG microstate analysis offers millisecond-resolution for tracking the dynamic changes in brain electrical activity, thereby illuminating the neurophysiological mechanisms underlying the cognitive and emotional dysfunctions in GAD.
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