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Fu X, Yao Y, An S, Pan N, Lin X, Gong Q, Deng H, Chen Y. Neurofunctional aberrations associated with social cognition across clinical and genetic risk groups for schizophrenia: a meta-analysis of fMRI studies. Cereb Cortex 2025; 35:bhaf052. [PMID: 40138514 DOI: 10.1093/cercor/bhaf052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 01/10/2025] [Accepted: 02/09/2025] [Indexed: 03/29/2025] Open
Abstract
Aberrant social cognition is a core feature of schizophrenia, persisting from clinical high-risk and genetic high-risk states to the first episode of psychosis. This study aimed to identify shared and distinct social cognition-related functional alterations across clinical high-risk, genetic high-risk, and first episode of psychosis groups, shedding light on varying risk levels for first episode of psychosis development. Meta-analyses were performed on 38 whole-brain task-based functional magnetic resonance imaging studies (12 clinical high risk, 15 genetic high risk, 11 first episode of psychosis) using Seed-based d Mapping. Function abnormalities were assessed within each patient group, with quantitative comparisons made against controls. Clinical high-risk and genetic high-risk individuals showed neither shared nor distinct abnormal brain activation during social cognition tasks. A shared cluster of increased activation in the right anterior cingulate cortex was observed between genetic high-risk and first episode of psychosis groups. However, no conjunction or disjunction results were found between clinical high-risk and first episode of psychosis groups. Meta-regression analyses revealed accelerated age-related greater activation decline in the left insula in individuals with clinical high risk. In conclusion, the absence of shared social cognition-related brain activation between clinical high risk and genetic high risk may signify differences in neural correlates underlying social cognition deficits between these groups and they follow distinct neural pathways toward first episode of psychosis. The shared abnormal anterior cingulate cortex activation in genetic high risk and first episode of psychosis may represent an endophenotype of schizophrenia.
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Affiliation(s)
- Xi Fu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, PR China
| | - Yuhao Yao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, PR China
| | - Siyao An
- Mental Health Center, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, PR China
| | - Nanfang Pan
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, PR China
| | - Xiaoyong Lin
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, PR China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, PR China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, No. 37 Guo Xue Xiang, Chengdu 610041, PR China
- Xiamen Key Laboratory of Psychoradiology and Neuromodulation, Department of Radiology, West China Xiamen Hospital of Sichuan University, No. 699 Jinyuanxilu, Jimei, Xiamen, 361022, PR China
| | - Hong Deng
- Mental Health Center, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, PR China
| | - Ying Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, Chengdu 610041, PR China
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Xie P, Huang C, Wang X, Sang H, Zhou A. The effect of avatar identity on spontaneous perspective-taking in patients with schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2025; 11:9. [PMID: 39863649 PMCID: PMC11762990 DOI: 10.1038/s41537-024-00551-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 12/17/2024] [Indexed: 01/27/2025]
Abstract
Controversy exists regarding whether the spontaneity of altercentric intrusion is impaired in patients with schizophrenia during implicit visual perspective-taking tasks. This study explored the characteristics of spontaneous visual perspective-taking in patients with schizophrenia and the effect of an avatar identity on their perspective-taking. We recruited 65 patients with schizophrenia and 65 healthy participants to complete 4 visual perspective-taking experiments for uncued other-avatar and self-avatar tasks and cued other-avatar and self-avatar tasks. In uncued other-avatar experiments, healthy controls showed a significant reduction in accuracy and an increase in response latency when the number of visible discs differed from that seen by the other-avatar (inconsistent condition), indicating altercentric intrusion. However, patients with schizophrenia did not exhibit this effect. In uncued self-avatar experiments, when the avatar was defined as the participant themselves, patients with schizophrenia did not show spontaneous perspective-taking. However, in cued other-avatar experiments, they showed altercentric intrusion in response latency, and in cued self-avatar experiments, they showed altercentric intrusion in accuracy and response latency. These results suggest that patients with schizophrenia have the tendency to spontaneously adopt the perspective of others, which is predicated on their awareness of the existence of perspectives. In addition, the avatar's identity as a stranger hinders the spontaneous perspective-taking processes in patients with schizophrenia.
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Affiliation(s)
- Pei Xie
- School of Psychology, Sichuan Normal University, Chengdu, China
- School of Psychology, Northwest Normal University, Lanzhou, China
| | - ChaoZheng Huang
- School of Judicial Police, Gansu University of Political Science and Law, Lanzhou, China
| | | | - HanBin Sang
- School of Teacher Education, Qiongtai Normal University, Haikou, China.
- Key Laboratory of Child Cognition & Behavior Development of Hainan Province, Haikou, China.
| | - AiBao Zhou
- School of Psychology, Northwest Normal University, Lanzhou, China.
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Przysinda E, Shovestul B, Saxena A, Dong X, Reda S, Dudek E, Lamberti JS, Lalor E, Dodell-Feder D. Altered neural response to social awkwardness in schizophrenia spectrum disorders. Soc Cogn Affect Neurosci 2024; 19:nsae094. [PMID: 39657722 PMCID: PMC11669317 DOI: 10.1093/scan/nsae094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 09/24/2024] [Accepted: 12/03/2024] [Indexed: 12/12/2024] Open
Abstract
Individuals with a schizophrenia spectrum disorder (SSD) have difficulties with social information processing, including mental state attribution, or "theory of mind" (ToM). Prior work has shown that these difficulties are related to disruption to the neural network subserving ToM. However, few such studies utilize naturalistic stimuli that are more representative of daily social interaction. Here, SSD and non-SSD individuals underwent fMRI while watching The Office to better understand how the ToM network responds to dynamic and complex social information, such as socially awkward moments. We find that medial prefrontal cortex tracks less with moment-to-moment awkwardness in SSD individuals. We also find a broad decrease in functional connectivity in the ToM network in SSD. Furthermore, neural response during awkward moments and functional connectivity was associated with psychotic experiences and social functioning. These results suggest that during naturalistic, socially awkward moments where mental state attribution is critical, individuals with SSD fail to recruit key regions of the ToM network, possibly contributing to decreased social understanding and impaired functioning.
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Affiliation(s)
- Emily Przysinda
- University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, United States
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY 14642, United States
| | - Bridget Shovestul
- Department of Psychology, University of Rochester, Rochester, NY 14627, United States
| | - Abhishek Saxena
- Department of Psychology, University of Rochester, Rochester, NY 14627, United States
| | - Xiaoyu Dong
- Department of Psychology, University of Rochester, Rochester, NY 14627, United States
| | - Stephanie Reda
- Department of Psychology, University of Rochester, Rochester, NY 14627, United States
| | - Emily Dudek
- Department of Psychology, University of Houston, Houston, TX 77204, United States
| | - J. Steven Lamberti
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY 14642, United States
| | - Edmund Lalor
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY 14642, United States
- Department of Biomedical Engineering, University of Rochester, Rochester, NY 14627, United States
| | - David Dodell-Feder
- Department of Neuroscience, University of Rochester Medical Center, Rochester, NY 14642, United States
- Department of Psychology, University of Rochester, Rochester, NY 14627, United States
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Kruse EA, Saxena A, Shovestul BJ, Dudek EM, Reda S, Dong J, Venkataraman A, Lamberti JS, Dodell-Feder D. Training individuals with schizophrenia to gain volitional control of the theory of mind network with real-time fMRI: A pilot study. Schizophr Res Cogn 2024; 38:100329. [PMID: 39290206 PMCID: PMC11406017 DOI: 10.1016/j.scog.2024.100329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 09/02/2024] [Accepted: 09/03/2024] [Indexed: 09/19/2024]
Abstract
Individuals diagnosed with schizophrenia spectrum disorders (SSDs) often demonstrate alterations in the Theory of Mind Network (ToM-N). Here, in this proof-of-concept, single-arm pilot study, we investigate whether participants with an SSD (N = 7) were able to learn to volitionally control regions of the ToM-N (dorso/middle/ventromedial prefrontal cortex [D/M/VMPFC], left temporoparietal junction [LTPJ], precuneus [PC], right superior temporal sulcus [RSTS], and right temporoparietal junction [RTPJ]) using real-time fMRI neurofeedback (rtfMRI-NF). Region-of-interest analyses demonstrate that after neurofeedback training, participants were able to gain volitional control in the following ToM-N brain regions during the transfer task, where no active feedback was given: right temporoparietal junction, precuneus, and dorso/ventromedial prefrontal cortex (neurofeedback effect Fs > 6.17, ps < .05). These findings suggest that trained volitional control over the ToM-N is tentatively feasible with rtfMRI neurofeedback in SSD, although findings need to be replicated with more robust designs that include a control group and larger samples.
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Affiliation(s)
- Elizabeth A Kruse
- Department of Psychology, University of Rochester, United States of America
| | - Abhishek Saxena
- Department of Psychology, University of Rochester, United States of America
| | | | - Emily M Dudek
- Department of Psychology, University of Houston, United States of America
| | - Stephanie Reda
- Department of Psychology, University of Rochester, United States of America
| | - Jojo Dong
- Department of Psychology, University of Rochester, United States of America
| | - Arun Venkataraman
- School of Medicine and Dentistry, University of Rochester Medical Center, United States of America
| | - J Steven Lamberti
- Department of Psychiatry, University of Rochester Medical Center, United States of America
| | - David Dodell-Feder
- Department of Psychology, University of Rochester, United States of America
- Department of Neuroscience, University of Rochester Medical Center, United States of America
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Saxena A, Shovestul BJ, Dudek EM, Reda S, Venkataraman A, Lamberti JS, Dodell-Feder D. Training volitional control of the theory of mind network with real-time fMRI neurofeedback. Neuroimage 2023; 279:120334. [PMID: 37591479 DOI: 10.1016/j.neuroimage.2023.120334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 07/12/2023] [Accepted: 08/14/2023] [Indexed: 08/19/2023] Open
Abstract
Is there a way improve our ability to understand the minds of others? Towards addressing this question, here, we conducted a single-arm, proof-of-concept study to evaluate whether real-time fMRI neurofeedback (rtfMRI-NF) from the temporo-parietal junction (TPJ) leads to volitional control of the neural network subserving theory of mind (ToM; the process by which we attribute and reason about the mental states of others). As additional aims, we evaluated the strategies used to self-regulate the network and whether volitional control of the ToM network was moderated by participant characteristics and associated with improved performance on behavioral measures. Sixteen participants underwent fMRI while completing a task designed to individually-localize the TPJ, and then three separate rtfMRI-NF scans during which they completed multiple runs of a training task while receiving intermittent, activation-based feedback from the TPJ, and one run of a transfer task in which no neurofeedback was provided. Region-of-interest analyses demonstrated volitional control in most regions during the training tasks and during the transfer task, although the effects were smaller in magnitude and not observed in one of the neurofeedback targets for the transfer task. Text analysis demonstrated that volitional control was most strongly associated with thinking about prior social experiences when up-regulating the neural signal. Analysis of behavioral performance and brain-behavior associations largely did not reveal behavior changes except for a positive association between volitional control in RTPJ and changes in performance on one ToM task. Exploratory analysis suggested neurofeedback-related learning occurred, although some degree of volitional control appeared to be conferred with the initial self-regulation strategy provided to participants (i.e., without the neurofeedback signal). Critical study limitations include the lack of a control group and pre-rtfMRI transfer scan, which prevents a more direct assessment of neurofeedback-induced volitional control, and a small sample size, which may have led to an overestimate and/or unreliable estimate of study effects. Nonetheless, together, this study demonstrates the feasibility of training volitional control of a social cognitive brain network, which may have important clinical applications. Given the study's limitations, findings from this study should be replicated with more robust experimental designs.
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Affiliation(s)
- Abhishek Saxena
- Department of Psychology, University of Rochester, 500 Wilson Blvd Rochester, NY 14627 USA
| | - Bridget J Shovestul
- Department of Psychology, University of Rochester, 500 Wilson Blvd Rochester, NY 14627 USA
| | - Emily M Dudek
- Department of Psychology, University of Houston, 3695 Cullen Boulevard Houston, TX 77204 USA
| | - Stephanie Reda
- Department of Psychology, University of Rochester, 500 Wilson Blvd Rochester, NY 14627 USA
| | - Arun Venkataraman
- School of Medicine and Dentistry, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642 USA
| | - J Steven Lamberti
- Department of Psychiatry, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642 USA
| | - David Dodell-Feder
- Department of Psychology, University of Rochester, 500 Wilson Blvd Rochester, NY 14627 USA; Department of Neuroscience, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642 USA.
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Tucci AA, Schroeder A, Noël C, Shvetz C, Yee J, Howard AL, Keshavan MS, Guimond S. Social cognition in youth with a first-degree relative with schizophrenia: A systematic scoping review. Psychiatry Res 2023; 323:115173. [PMID: 36989908 DOI: 10.1016/j.psychres.2023.115173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 03/14/2023] [Accepted: 03/18/2023] [Indexed: 03/31/2023]
Abstract
Social-cognitive deficits are present in individuals at familial high-risk (FHR) for schizophrenia and may play a role in the onset of the illness. No literature review has examined the social-cognitive profiles of youth at FHR who are within the peak window of risk for developing schizophrenia, which could provide insight on the endophenotypic role of social cognition. This systematic scoping review (1) summarizes the evidence on social-cognitive deficits in youth at FHR, (2) explores brain correlates, and (3) describes social-cognitive deficits and prodromal symptom associations. We searched PsycInfo and PubMed for studies investigating social cognition in FHR youth aged 35 or younger and included 19 studies (FHR=639; controls=689). Studies report that youth at FHR have difficulty recognizing negative emotions, particularly fear. Youth at FHR also have difficulty performing complex theory of mind tasks. Abnormality in corticolimbic and temporoparietal regions are observed in youth at FHR during social-cognitive tasks, but results are inconsistent. Finally, there is evidence for negative associations between prodromal symptoms and performance on emotion regulation and theory of mind tasks, but the research is scarce. This review highlights the need for studies on youth at FHR using longitudinal designs and extensive social-cognitive, brain imaging and clinical measures.
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Affiliation(s)
- Alexandra A Tucci
- Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada; Department of Psychology, Carleton University, Ottawa, ON, Canada
| | - Alexandra Schroeder
- Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada; Department of Neuroscience, Carleton University, Ottawa, ON, Canada
| | - Chelsea Noël
- Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
| | - Cecelia Shvetz
- Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada; Department of Neuroscience, Carleton University, Ottawa, ON, Canada
| | - Jasmin Yee
- Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada
| | - Andrea L Howard
- Department of Psychology, Carleton University, Ottawa, ON, Canada
| | - Matcheri S Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Massachusetts Mental Health Center Division of Public Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Synthia Guimond
- Institute of Mental Health Research, Royal Ottawa Mental Health Centre, Ottawa, ON, Canada; Department of Psychology, Carleton University, Ottawa, ON, Canada; Department of Neuroscience, Carleton University, Ottawa, ON, Canada; Department of Psychoeducation and Psychology, University of Quebec in Outaouais, Gatineau, QC, Canada; Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada.
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Sreeraj VS, Shivakumar V, Bhalerao GV, Kalmady SV, Narayanaswamy JC, Venkatasubramanian G. Resting-state functional connectivity correlates of antipsychotic treatment in unmedicated schizophrenia. Asian J Psychiatr 2023; 82:103459. [PMID: 36682158 DOI: 10.1016/j.ajp.2023.103459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/03/2023] [Accepted: 01/07/2023] [Indexed: 01/09/2023]
Abstract
BACKGROUND Antipsychotics may modulate the resting state functional connectivity(rsFC) to improve clinical symptoms in schizophrenia(Sz). Existing literature has potential confounders like past medication effects and evaluating preselected regions/networks. We aimed to evaluate connectivity pattern changes with antipsychotics in unmedicated Sz using Multivariate pattern analysis(MVPA), a data-driven technique for whole-brain connectome analysis. METHODS Forty-seven unmedicated patients with Sz(DSM-IV-TR) underwent clinical evaluation and neuroimaging at baseline and after 3-months of antipsychotic treatment. Resting-state functional MRI was analysed using group-MVPA to derive 5-components. The brain region with significant connectivity pattern changes with antipsychotics was identified, and post-hoc seed-to-voxel analysis was performed to identify connectivity changes and their association with symptom changes. RESULTS Connectome-MVPA analysis revealed the connectivity pattern of a cluster localised to left anterior cingulate and paracingulate gyri (ACC/PCG) (peak coordinates:x = -04,y = +30,z = +26;k = 12;cluster-pFWE=0.002) to differ significantly after antipsychotics. Specifically, its connections with clusters of precuneus/posterior cingulate cortex(PCC) and left inferior temporal gyrus(ITG) correlated with improvement in positive and negative symptoms scores, respectively. CONCLUSION ACC/PCG, a hub of the default mode network, seems to mediate the antipsychotic effects in unmedicated Sz. Evaluating causality models with data from randomised controlled design using the MVPA approach would further enhance our understanding of therapeutic connectomics in Sz.
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Affiliation(s)
- Vanteemar S Sreeraj
- InSTAR Clinic and Translational Psychiatry Lab, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India.
| | - Venkataram Shivakumar
- InSTAR Clinic and Translational Psychiatry Lab, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India; Department of Integrative Medicine, National Institute of Mental Health and Neurosciences, Bengaluru, India
| | | | - Sunil V Kalmady
- Alberta Machine Intelligence Institute, Department of Computing Science, University of Alberta, Edmonton, Alberta, Canada; Canadian VIGOUR Centre, University of Alberta, Edmonton, Alberta, Canada
| | | | - Ganesan Venkatasubramanian
- InSTAR Clinic and Translational Psychiatry Lab, Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, India
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Cui C. Intelligent Analysis of Exercise Health Big Data Based on Deep Convolutional Neural Network. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:5020150. [PMID: 35800690 PMCID: PMC9256337 DOI: 10.1155/2022/5020150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/28/2022] [Accepted: 06/07/2022] [Indexed: 11/29/2022]
Abstract
In this paper, the algorithm of the deep convolutional neural network is used to conduct in-depth research and analysis of sports health big data, and an intelligent analysis system is designed for the practical process. A convolutional neural network is one of the most popular methods of deep learning today. The convolutional neural network has the feature of local perception, which allows a complete image to be divided into several small parts, by learning the characteristic features of each local part and then merging the local information at the high level to get the full representation information. In this paper, we first apply a convolutional neural network for four classifications of brainwave data and analyze the accuracy and recall of the model. The model is then further optimized to improve its accuracy and is compared with other models to confirm its effectiveness. A demonstration platform of emotional fatigue detection with multimodal data feature fusion was established to realize data acquisition, emotional fatigue detection, and emotion feedback functions. The emotional fatigue detection platform was tested to verify that the proposed model can be used for time-series data feature learning. According to the platform requirement analysis and detailed functional design, the development of each functional module of the platform was completed and system testing was conducted. The big data platform constructed in this study can meet the basic needs of health monitoring for data analysis, which is conducive to the formation of a good situation of orderly and effective interaction among multiple subjects, thus improving the information service level of health monitoring and promoting comprehensive health development.
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Affiliation(s)
- Cui Cui
- Department of Sports, Huanghe Jiaotong University, Jiaozuo, Henan 454950, China
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Yu L, Kazinka R, Pratt D, Kwashie A, MacDonald AW. Resting-State Networks Associated with Behavioral and Self-Reported Measures of Persecutory Ideation in Psychosis. Brain Sci 2021; 11:brainsci11111490. [PMID: 34827489 PMCID: PMC8615751 DOI: 10.3390/brainsci11111490] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 10/29/2021] [Accepted: 11/03/2021] [Indexed: 11/17/2022] Open
Abstract
Persecutory ideations are self-referential delusions of being the target of malevolence despite a lack of evidence. Wisner et al. (2021) found that reduced connectivity between the left frontoparietal (lFP) network and parts of the orbitofrontal cortex (OFC) correlated with increased persecutory behaviors among psychotic patients performing in an economic social decision-making task that can measure the anticipation of a partner’s spiteful behavior. If this pattern could be observed in the resting state, it would suggest a functional-structural prior predisposing individuals to persecutory ideation. Forty-four patients in the early course of a psychotic disorder provided data for resting-state functional connectivity magnetic resonance imaging across nine brain networks that included the FP network and a similar OFC region. As predicted, we found a significant and negative correlation between the lFP–OFC at rest and the level of suspicious mistrust on the decision-making task using a within-group correlational design. Additionally, self-reported persecutory ideation correlated significantly with the connectivity between the right frontoparietal (rFP) network and the OFC. We extended the previous finding of reduced connectivity between the lFP network and the OFC in psychosis patients to the resting state, and observed a possible hemispheric difference, such that greater rFP–OFC connectivity predicted elevated self-reported persecutory ideation, suggesting potential differences between the lFP and rFP roles in persecutory social interactions.
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