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Fung ACO, Zhang RT, Yip SSL, Poon GKS, Cheng CW, Yang TX, Lui SSY, Chan RCK. Prospection deficits in patients with first-episode schizophrenia: a cross-sectional comparative study. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:36. [PMID: 37270630 DOI: 10.1038/s41537-023-00365-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 05/15/2023] [Indexed: 06/05/2023]
Abstract
Prospection refers to the ability to simulate and pre-experience future events. Schizophrenia patients have difficulty in anticipating pleasure in future events, but previous studies examined prospection deficits in chronic schizophrenia patients. This study aimed to investigate prospection deficits in first-episode schizophrenia patients. Thirty first-episode schizophrenia patients and 31 healthy controls completed the Affective Prospection Task, which utilized pictorial cues to involve positive, neutral and negative prospection. Participants' ratings regarding the phenomenal characteristics of their prospected events were collected, and their prospected narratives were coded using a valid scoring manual. We also assessed intelligence, working memory and logical memory. The results showed, in all participants, valence of the cues significantly influenced participants' sense of pre-experience, temporal distance, emotion experience, vividness and participation of the prospected events, as well as the richness of sensory details. The two groups did not differ in self-report phenomenal characteristics of their prospected events. For coded characteristics, schizophrenia patients' prospected narratives were less rich in thought/emotion than controls, even after controlling for intelligence and memory deficits. We extended empirical evidence for prospection deficits from chronic schizophrenia samples to first-episode schizophrenia patients.
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Affiliation(s)
| | - Rui-Ting Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, Hunan Normal University, Chansha, China
- Cognition and Human Behaviour Key Laboratory of Hunan Province, Hunan Normal University, Changsha, China
| | - Stanley S L Yip
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Grace K S Poon
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Chi-Wai Cheng
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Tian-Xiao Yang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Simon S Y Lui
- Department of Psychiatry, School of Clinical Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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Qi Z, Wang J, Gong J, Su T, Fu S, Huang L, Wang Y. Common and specific patterns of functional and structural brain alterations in schizophrenia and bipolar disorder: a multimodal voxel-based meta-analysis. J Psychiatry Neurosci 2022; 47:E32-E47. [PMID: 35105667 PMCID: PMC8812718 DOI: 10.1503/jpn.210111] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/12/2021] [Accepted: 11/16/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Schizophrenia and bipolar disorder have been linked to alterations in the functional activity and grey matter volume of some brain areas, reflected in impaired regional homogeneity and aberrant voxel-based morphometry. However, because of variable findings and methods used across studies, identifying patterns of brain alteration in schizophrenia and bipolar disorder has been difficult. METHODS We conducted a meta-analysis of differences in regional homogeneity and voxel-based morphometry between patients and healthy controls for schizophrenia and bipolar disorder separately, using seed-based d mapping. RESULTS We included 45 publications on regional homogeneity (26 in schizophrenia and 19 in bipolar disorder) and 190 publications on voxel-based morphometry (120 in schizophrenia and 70 in bipolar disorder). Patients with schizophrenia showed increased regional homogeneity in the frontal cortex and striatum and the supplementary motor area; they showed decreased regional homogeneity in the insula, primary sensory cortex (visual and auditory cortices) and sensorimotor cortex. Patients with bipolar disorder showed increased regional homogeneity in the frontal cortex and striatum; they showed decreased regional homogeneity in the insula. Patients with schizophrenia showed decreased grey matter volume in the superior temporal gyrus, inferior frontal gyrus, cingulate cortex and cerebellum. Patients with bipolar disorder showed decreased grey matter volume in the insula, cingulate cortex, frontal cortex and thalamus. Overlap analysis showed that patients with schizophrenia displayed decreased regional homogeneity and grey matter volume in the left insula and left superior temporal gyrus; patients with bipolar disorder displayed decreased regional homogeneity and grey matter volume in the left insula. LIMITATIONS The small sample size for our subgroup analysis (unmedicated versus medicated patients and substantial heterogeneity in the results for some regions could limit the interpretability and generalizability of the results. CONCLUSION Patients with schizophrenia and bipolar disorder shared a common pattern of regional functional and structural alterations in the insula and frontal cortex. Patients with schizophrenia showed more widespread functional and structural impairment, most prominently in the primary sensory motor areas.
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Affiliation(s)
| | - Junjing Wang
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China (Qi, Su, Fu, Huang, Y. Wang); the Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China (Qi, Su, Fu, Huang, Y. Wang); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (J. Wang); and the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong)
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DeBrabander KM, Pinkham AE, Ackerman RA, Jones DR, Sasson NJ. Cognitive and Social Cognitive Self-assessment in Autistic Adults. J Autism Dev Disord 2020; 51:2354-2368. [PMID: 32951156 DOI: 10.1007/s10803-020-04722-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
An aspect of metacognition associated with broader functional abilities in several clinical conditions, but previously unexamined in autism, is self-assessment (i.e., the ability to accurately self-evaluate one's own performance). We compared self-assessment between 37 autistic adults without intellectual disability to 39 non-autistic (NA) controls on a series of three general cognitive and three social cognitive tasks. Whereas autistic adults and NA adults did not differ in their self-assessment accuracy on general cognitive tasks, they did on social cognitive tasks, with autistic adults demonstrating lower accuracy. The direction of their inaccuracy was variable (i.e., both over and underestimation), and self-assessment was largely unrelated to their level of social functioning. Over versus underestimation may have different functional implications, and warrants future investigation.
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Affiliation(s)
- Kilee M DeBrabander
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, 75080, USA.
| | - Amy E Pinkham
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, 75080, USA
| | - Robert A Ackerman
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, 75080, USA
| | - Desiree R Jones
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, 75080, USA
| | - Noah J Sasson
- School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, 75080, USA
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Gao S, Ming Y, Wang J, Gu Y, Ni S, Lu S, Zhang R, Sun J, Zhang N, Xu X. Enhanced Prefrontal Regional Homogeneity and Its Correlations With Cognitive Dysfunction/Psychopathology in Patients With First-Diagnosed and Drug-Naive Schizophrenia. Front Psychiatry 2020; 11:580570. [PMID: 33192722 PMCID: PMC7649771 DOI: 10.3389/fpsyt.2020.580570] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 09/14/2020] [Indexed: 01/10/2023] Open
Abstract
Background: Schizophrenia, regarded as a neurodevelopmental disorder, is characterized by positive symptoms, negative symptoms, and cognitive dysfunction. Investigating the spontaneous brain activity in patients with schizophrenia can help us understand the underlying pathophysiologic mechanism of schizophrenia. However, results concerning abnormal neural activities and their correlations with cognitive dysfunction/psychopathology of patients with schizophrenia were inconsistent. Methods: We recruited 57 first-diagnosed and drug-naive patients with schizophrenia and 50 matched healthy controls underwent magnetic resonance imaging. The Positive and Negative Syndrome Scale (PANSS) and the MATRICS Consensus Cognitive Battery were used to assess the psychopathology/cognitive dysfunction. Regional homogeneity (ReHo) was used to explore neural activities. Correlation analyses were calculated between abnormal ReHo values and PANSS scores/standardized cognitive scores. Lastly, support vector machine analyses were conducted to evaluate the accuracy of abnormal ReHo values in distinguishing patients with schizophrenia from healthy controls. Results: Patients with schizophrenia showed cognitive dysfunction, and increased ReHo values in the right gyrus rectus, right inferior frontal gyrus/insula and left inferior frontal gyrus/insula compared with those of healthy controls. The ReHo values in the right inferior frontal gyrus/insula were positively correlated with negative symptom scores and negatively correlated with Hopkins verbal learning test-revised/verbal learning. Our results showed that the combination of increased ReHo values in the left inferior frontal gyrus/insula and right gyrus rectus had 78.5% (84/107) accuracy, 85.96% (49/57) sensitivity, and 70.00% specificity, which were higher than other combinations. Conclusions: Hyperactivities were primarily located in the prefrontal regions, and increased ReHo values in the right inferior frontal gyrus/insula might reflect the severity of negative symptoms and verbal learning abilities. The combined increases of ReHo values in these regions might be an underlying biomarker in differentiating patients with schizophrenia from healthy controls.
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Affiliation(s)
- Shuzhan Gao
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yidan Ming
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Jiayin Wang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yuan Gu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Sulin Ni
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Shuiping Lu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Rongrong Zhang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Jing Sun
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Ning Zhang
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,Department of Psychiatry, Nanjing Brain Hospital, Medical School, Nanjing University, Nanjing, China
| | - Xijia Xu
- Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China.,Department of Psychiatry, Nanjing Brain Hospital, Medical School, Nanjing University, Nanjing, China
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