1
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Toutain TGLDO, Miranda JGV, do Rosário RS, de Sena EP. Directed brain interactions over time: A resting-state EEG comparison between schizophrenia and healthy individuals. Psychiatry Res Neuroimaging 2024; 344:111861. [PMID: 39153230 DOI: 10.1016/j.pscychresns.2024.111861] [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: 03/17/2023] [Revised: 05/26/2024] [Accepted: 07/24/2024] [Indexed: 08/19/2024]
Abstract
Understanding the neurophysiological mechanisms of schizophrenia (SZ) is one of the challenges of neuroscience. Many anatomical and functional studies have pointed to problems in brain connectivity in SZ individuals. However, little is known about the relationships between specific brain regions and impairments in brain connectivity in SZ individuals. Herein we propose a new approach using time-varying graphs and the motif synchronization method to build dynamic brain functional networks (BFNs). Dynamic BFNs were constructed from resting-state electroencephalography (rs-EEG) of 14 schizophrenia (SZ) individuals and 14 healthy controls (HCs). BFNs were evaluated based on the percentage of synchronization importance between a pair of regions (considering external and internal interactions) over time. We found differences in the directed interaction between brain regions in SZ individuals compared to the control group. Our method revealed low bilaterally directed interactions between the temporal lobes in SZ individuals compared to HCs, indicating a potential link between altered brain connectivity and the characteristic symptoms of schizophrenia. From a clinical perspective, these results shed light on developing new therapeutic approaches targeting these specific neural interactions that are altered in individuals with SZ. This knowledge allows the application of better interventions focused on restoring or compensating for interrupted connectivity patterns.
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Affiliation(s)
- Thaise G L de O Toutain
- Postgraduate Program in Interactive Processes of Organs and Systems, Institute of Health Sciences, Federal University of Bahia, Salvador, Brazil; Laboratory of Biosystems, Federal University of Bahia, Salvador, Brazil
| | | | | | - Eduardo Pondé de Sena
- Postgraduate Program in Interactive Processes of Organs and Systems, Institute of Health Sciences, Federal University of Bahia, Salvador, Brazil; Department of Bioregulation, Institute of Health Sciences, Federal University of Bahia, Av. Reitor Miguel Calmon, s/n, Vale do Canela, Salvador, BA 40110-100, Brazil.
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2
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Kent J, Pinkham A. Cerebral and cerebellar correlates of social cognitive impairment in schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2024; 128:110850. [PMID: 37657639 DOI: 10.1016/j.pnpbp.2023.110850] [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: 05/22/2023] [Revised: 07/26/2023] [Accepted: 08/28/2023] [Indexed: 09/03/2023]
Abstract
Social cognition is a broad construct encompassing the ways in which individuals perceive, process, and use information about other people. Social cognition involves both lower- and higher-level processes such as emotion recognition and theory of mind, respectively. Social cognitive impairments have been repeatedly demonstrated in schizophrenia spectrum illnesses and, crucially, are related to functional outcomes. In this review, we summarize the literature investigating the brain networks implicated in social cognitive impairments in schizophrenia spectrum illnesses. In addition to cortical and limbic loci and networks, we also discuss evidence for cerebellar contributions to social cognitive impairment in this population. We conclude by synthesizing these two literatures, with an emphasis on current knowledge gaps, particularly in regard to cerebellar influences, and future directions.
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Affiliation(s)
- Jerillyn Kent
- Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States
| | - Amy Pinkham
- Department of Psychology, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, United States.
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3
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Adraoui FW, Douw L, Martens GJM, Maas DA. Connecting Neurobiological Features with Interregional Dysconnectivity in Social-Cognitive Impairments of Schizophrenia. Int J Mol Sci 2023; 24:ijms24097680. [PMID: 37175387 PMCID: PMC10177877 DOI: 10.3390/ijms24097680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 05/15/2023] Open
Abstract
Schizophrenia (SZ) is a devastating psychiatric disorder affecting about 1% of the world's population. Social-cognitive impairments in SZ prevent positive social interactions and lead to progressive social withdrawal. The neurobiological underpinnings of social-cognitive symptoms remain poorly understood, which hinders the development of novel treatments. At the whole-brain level, an abnormal activation of social brain regions and interregional dysconnectivity within social-cognitive brain networks have been identified as major contributors to these symptoms. At the cellular and subcellular levels, an interplay between oxidative stress, neuroinflammation and N-methyl-D-aspartate receptor hypofunction is thought to underly SZ pathology. However, it is not clear how these molecular processes are linked with interregional dysconnectivity in the genesis of social-cognitive symptoms. Here, we aim to bridge the gap between macroscale (connectivity analyses) and microscale (molecular and cellular mechanistic) knowledge by proposing impaired myelination and the disinhibition of local microcircuits as possible causative biological pathways leading to dysconnectivity and abnormal activity of the social brain. Furthermore, we recommend electroencephalography as a promising translational technique that can foster pre-clinical drug development and discuss attractive drug targets for the treatment of social-cognitive symptoms in SZ.
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Affiliation(s)
- Florian W Adraoui
- Biotrial, Preclinical Pharmacology Department, 7-9 rue Jean-Louis Bertrand, 35000 Rennes, France
| | - Linda Douw
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan, 1081 HZ Amsterdam, The Netherlands
| | - Gerard J M Martens
- Donders Centre for Neuroscience (DCN), Department of Molecular Animal Physiology, Faculty of Science, Donders Institute for Brain, Cognition and Behavior, Radboud University, 6525 GA Nijmegen, The Netherlands
- NeuroDrug Research Ltd., 6525 ED Nijmegen, The Netherlands
| | - Dorien A Maas
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan, 1081 HZ Amsterdam, The Netherlands
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4
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Vucurovic K, Raucher-Chéné D, Obert A, Gobin P, Henry A, Barrière S, Traykova M, Gierski F, Portefaix C, Caillies S, Kaladjian A. Activation of the left medial temporal gyrus and adjacent brain areas during affective theory of mind processing correlates with trait schizotypy in a nonclinical population. Soc Cogn Affect Neurosci 2023; 18:6701589. [PMID: 36107738 PMCID: PMC9949503 DOI: 10.1093/scan/nsac051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 07/31/2022] [Accepted: 09/13/2022] [Indexed: 11/12/2022] Open
Abstract
Schizophrenia, a severe psychiatric disorder, is associated with abnormal brain activation during theory of mind (ToM) processing. Researchers recently suggested that there is a continuum running from subclinical schizotypal personality traits to fully expressed schizophrenia symptoms. Nevertheless, it remains unclear whether schizotypal personality traits in a nonclinical population are associated with atypical brain activation during ToM tasks. Our aim was to investigate correlations between fMRI brain activation during affective ToM (ToMA) and cognitive ToM (ToMC) tasks and scores on the Schizotypal Personality Questionnaire (SPQ) and the Basic Empathy Scale in 39 healthy individuals. The total SPQ score positively correlated with brain activation during ToMA processing in clusters extending from the left medial temporal gyrus (MTG), lingual gyrus and fusiform gyrus to the parahippocampal gyrus (Brodmann area: 19). During ToMA processing, the right inferior occipital gyrus, right MTG, precuneus and posterior cingulate cortex negatively correlated with the emotional disconnection subscore and the total score of self-reported empathy. These posterior brain regions are known to be involved in memory and language, as well as in creative reasoning, in nonclinical individuals. Our findings highlight changes in brain processing associated with trait schizotypy in nonclinical individuals during ToMA but not ToMC processing.
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Affiliation(s)
- Ksenija Vucurovic
- Université de Reims Champagne Ardenne, Laboratoire Cognition, Santé, Société, EA 6291, 51100 Reims, France.,Centre Rémois de Psychothérapie et Neuromodulation, 51100 Reims, France
| | - Delphine Raucher-Chéné
- Université de Reims Champagne Ardenne, Laboratoire Cognition, Santé, Société, EA 6291, 51100 Reims, France.,Pôle Universitaire de Psychiatrie, EPSM et CHU de Reims, 51100 Reims, France.,McGill University, Douglas Mental Health University Institute, 11290 Montreal, Canada
| | - Alexandre Obert
- Champollion National University Institute, Cognition Sciences, Technology & Ergonomics Laboratory, University of Toulouse, 81000 Albi, France
| | - Pamela Gobin
- Université de Reims Champagne Ardenne, Laboratoire Cognition, Santé, Société, EA 6291, 51100 Reims, France.,Pôle Universitaire de Psychiatrie, EPSM et CHU de Reims, 51100 Reims, France
| | - Audrey Henry
- Université de Reims Champagne Ardenne, Laboratoire Cognition, Santé, Société, EA 6291, 51100 Reims, France.,Pôle Universitaire de Psychiatrie, EPSM et CHU de Reims, 51100 Reims, France
| | - Sarah Barrière
- Pôle Universitaire de Psychiatrie, EPSM et CHU de Reims, 51100 Reims, France
| | - Martina Traykova
- Pôle Universitaire de Psychiatrie, EPSM et CHU de Reims, 51100 Reims, France
| | - Fabien Gierski
- Université de Reims Champagne Ardenne, Laboratoire Cognition, Santé, Société, EA 6291, 51100 Reims, France.,Pôle Universitaire de Psychiatrie, EPSM et CHU de Reims, 51100 Reims, France.,INSERM U1247 GRAP, Research Group on Alcohol and Drugs, Université de Picardie Jules Verne, 80000 Amiens, France
| | - Christophe Portefaix
- Radiology Department, Reims University Hospital, 51100 Reims, France.,University of Reims Champagne-Ardenne, CReSTIC Laboratory, 51100 Reims, France
| | - Stéphanie Caillies
- Université de Reims Champagne Ardenne, Laboratoire Cognition, Santé, Société, EA 6291, 51100 Reims, France
| | - Arthur Kaladjian
- Université de Reims Champagne Ardenne, Laboratoire Cognition, Santé, Société, EA 6291, 51100 Reims, France.,Pôle Universitaire de Psychiatrie, EPSM et CHU de Reims, 51100 Reims, France.,University of Reims Champagne-Ardenne Faculty of Medicine, 51100 Reims, France
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5
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Meram ED, Baajour S, Chowdury A, Kopchick J, Thomas P, Rajan U, Khatib D, Zajac-Benitez C, Haddad L, Amirsadri A, Stanley JA, Diwadkar VA. The topology, stability, and instability of learning-induced brain network repertoires in schizophrenia. Netw Neurosci 2023; 7:184-212. [PMID: 37333998 PMCID: PMC10270714 DOI: 10.1162/netn_a_00278] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 09/05/2022] [Indexed: 07/21/2023] Open
Abstract
There is a paucity of graph theoretic methods applied to task-based data in schizophrenia (SCZ). Tasks are useful for modulating brain network dynamics, and topology. Understanding how changes in task conditions impact inter-group differences in topology can elucidate unstable network characteristics in SCZ. Here, in a group of patients and healthy controls (n = 59 total, 32 SCZ), we used an associative learning task with four distinct conditions (Memory Formation, Post-Encoding Consolidation, Memory Retrieval, and Post-Retrieval Consolidation) to induce network dynamics. From the acquired fMRI time series data, betweenness centrality (BC), a metric of a node's integrative value was used to summarize network topology in each condition. Patients showed (a) differences in BC across multiple nodes and conditions; (b) decreased BC in more integrative nodes, but increased BC in less integrative nodes; (c) discordant node ranks in each of the conditions; and (d) complex patterns of stability and instability of node ranks across conditions. These analyses reveal that task conditions induce highly variegated patterns of network dys-organization in SCZ. We suggest that the dys-connection syndrome that is schizophrenia, is a contextually evoked process, and that the tools of network neuroscience should be oriented toward elucidating the limits of this dys-connection.
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Affiliation(s)
- Emmanuel D. Meram
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Shahira Baajour
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Asadur Chowdury
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - John Kopchick
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Patricia Thomas
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Usha Rajan
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Dalal Khatib
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Caroline Zajac-Benitez
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Luay Haddad
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Alireza Amirsadri
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Jeffrey A. Stanley
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
| | - Vaibhav A. Diwadkar
- Department of Psychiatry and Behavioral Neurosciences, Brain Imaging Research Division, Wayne State University School of Medicine, Detroit, MI, USA
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6
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Yeh YC, Hung CF, Lin CY, Wu YY, Kuo CH, Potenza MN, Cheng CH, Chen KL. The animated assessment of theory of mind for people with schizophrenia (AToMS): development and psychometric evaluation. Eur Arch Psychiatry Clin Neurosci 2022; 273:663-677. [PMID: 36253583 DOI: 10.1007/s00406-022-01498-2] [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: 03/12/2022] [Accepted: 09/27/2022] [Indexed: 11/24/2022]
Abstract
Theory of mind (ToM) deficits in people with schizophrenia have been reported and associated with impaired social interactions. Thus, ToM deficits may negatively impact social functioning and warrant consideration in treatment development. However, extant ToM measures may place excessive cognitive demands on people with schizophrenia. Therefore, the study aimed to develop a comprehensible Assessment of ToM for people with Schizophrenia (AToMS) and evaluate its psychometric properties. The AToMs was developed in 5 stages, including item formation, expert review, content validity evaluation, animation production, and cognitive interviews of 25 people with schizophrenia. The psychometric properties of the 16-item AToMS (including reliability and validity) were then tested on 59 people with schizophrenia. The newly developed animated AToMS assesses 8 ToM concepts in the cognitive and affective dimensions while placing minimal neurocognitive demands on people with schizophrenia. The AToMS presented satisfactory psychometric properties, with adequate content validity (content validity index = 0.91); mostly moderate item difficulty (item difficulty index = 0.339-0.966); good discrimination (coefficients = 0.379-0.786), internal consistency (Cronbach's α = 0.850), and reliability (intraclass correlation coefficient = 0.901 for test-retest, 0.997 for inter-rater); and satisfactory convergent and divergent validity. The AToMS is reliable and valid for evaluating ToM characteristics in people with schizophrenia. Future studies are warranted to examine the AToMS in other populations (e.g., people with affective disorders) to cross-validate and extend its utility and psychometric evidence.
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Affiliation(s)
- Ya-Chin Yeh
- Department of Occupational Therapy, Shu-Zen Junior College of Medicine and Management, Kaohsiung, 821004, Taiwan
| | - Chi-Fa Hung
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, 804201, Taiwan.,Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, 833401, Taiwan.,College of Humanities and Social Sciences, National Pingtung University of Science and Technology, 912301, Pingtung, Taiwan
| | - Chung-Ying Lin
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, 701401, Taiwan. .,Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, 701401, Taiwan. .,Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, 701401, Taiwan. .,Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 701401, Taiwan.
| | - Yuh-Yih Wu
- Department of Special Education, National Kaohsiung Normal University, Kaohsiung, 802561, Taiwan
| | - Chun-Hong Kuo
- Department of Academic Office, Kaohsiung Municipal Nan-Zih Special School, Kaohsiung, 811214, Taiwan
| | - Marc N Potenza
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA.,Connecticut Mental Health Center, New Haven, CT, USA.,Connecticut Council on Problem Gambling, Wethersfield, CT, USA.,Child Study Center, Yale School of Medicine, New Haven, CT, USA.,Department of Neuroscience, Yale University, New Haven, CT, USA.,Wu Tsai Institute, Yale University, New Haven, CT, USA
| | - Chun-Hua Cheng
- Department of Occupational Therapy, Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, 802211, Taiwan
| | - Kuan-Lin Chen
- Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, 701401, Taiwan. .,Department of Occupational Therapy, College of Medicine, National Cheng Kung University, Tainan, 701401, Taiwan. .,Department of Physical Medicine and Rehabilitation, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, 701401, Taiwan.
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7
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Zhang YJ, Hu HX, Wang LL, Wang X, Wang Y, Huang J, Wang Y, Lui SSY, Hui L, Chan RCK. Decoupling between hub-connected functional connectivity of the social brain network and real-world social network in individuals with social anhedonia. Psychiatry Res Neuroimaging 2022; 326:111528. [PMID: 36027707 DOI: 10.1016/j.pscychresns.2022.111528] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/29/2022] [Accepted: 08/09/2022] [Indexed: 01/10/2023]
Abstract
Altered hub regions in brain network have been consistently reported in patients with schizophrenia. However, it is unclear whether similar altered hub regions of the brain would be exhibited in individuals with subclinical features of schizophrenia such as social anhedonia (SA). In this study, we examined the hub regions of resting-state social brain network (SBN) of 35 participants with SA and 50 healthy controls (HC). We further examined the prediction effect of hub-connected FCs with SBN on the real-life social network characteristics. Our findings showed that the right amygdala, left temporal lobe and right media superior frontal gyrus were the hub regions of SBN both in SA and HC groups. In the SA group, the left temporal lobe connected functional connectivity (FC) did not predict social network characteristics, while the other FCs strengthened the association with social network characteristics. These findings were replicated in an independent sample of 33 SA and 32 HC. These findings suggested that the left temporal lobe as one of the hub regions of SBN exhibited the abnormality of their connected FCs in the association with social network characteristics in individuals with SA.
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Affiliation(s)
- Yi-Jing Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Hui-Xin Hu
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Ling-Ling Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xuan Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, 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
| | - Li Hui
- The Affiliated Guangji Hospital of Soochow University, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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8
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A Mini-Review Regarding the Modalities to Study Neurodevelopmental Disorders-Like Impairments in Zebrafish—Focussing on Neurobehavioural and Psychological Responses. Brain Sci 2022; 12:brainsci12091147. [PMID: 36138883 PMCID: PMC9496774 DOI: 10.3390/brainsci12091147] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/24/2022] [Accepted: 08/24/2022] [Indexed: 11/17/2022] Open
Abstract
Neurodevelopmental disorders (NDDs) are complex disorders which can be associated with many comorbidities and exhibit multifactorial-dependent phenotypes. An important characteristic is represented by the early onset of the symptoms, during childhood or young adulthood, with a great impact on the socio-cognitive functioning of the affected individuals. Thus, the aim of our review is to describe and to argue the necessity of early developmental stages zebrafish models, focusing on NDDs, especially autism spectrum disorders (ASD) and also on schizophrenia. The utility of the animal models in NDDs or schizophrenia research remains quite controversial. Relevant discussions can be opened regarding the specific characteristics of the animal models and the relationship with the etiologies, physiopathology, and development of these disorders. The zebrafish models behaviors displayed as early as during the pre-hatching embryo stage (locomotor activity prone to repetitive behavior), and post-hatching embryo stage, such as memory, perception, affective-like, and social behaviors can be relevant in ASD and schizophrenia research. The neurophysiological processes impaired in both ASD and schizophrenia are generally highly conserved across all vertebrates. However, the relatively late individual development and conscious social behavior exhibited later in the larval stage are some of the most important limitations of these model animal species.
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9
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Lysaker PH, Cheli S, Dimaggio G, Buck B, Bonfils KA, Huling K, Wiesepape C, Lysaker JT. Metacognition, social cognition, and mentalizing in psychosis: are these distinct constructs when it comes to subjective experience or are we just splitting hairs? BMC Psychiatry 2021; 21:329. [PMID: 34215225 PMCID: PMC8254212 DOI: 10.1186/s12888-021-03338-4] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 06/21/2021] [Indexed: 02/01/2023] Open
Abstract
Research using the integrated model of metacognition has suggested that the construct of metacognition could quantify the spectrum of activities that, if impaired, might cause many of the subjective disturbances found in psychosis. Research on social cognition and mentalizing in psychosis, however, has also pointed to underlying deficits in how persons make sense of their experience of themselves and others. To explore the question of whether metacognitive research in psychosis offers unique insight in the midst of these other two emerging fields, we have offered a review of the constructs and research from each field. Following that summary, we discuss ways in which research on metacognition may be distinguished from research on social cognition and mentalizing in three broad categories: (1) experimental procedures, (2) theoretical advances, and (3) clinical applications or indicated interventions. In terms of its research methods, we will describe how metacognition makes a unique contribution to understanding disturbances in how persons make sense of and interpret their own experiences within the flow of life. We will next discuss how metacognitive research in psychosis uniquely describes an architecture which when compromised - as often occurs in psychosis - results in the loss of persons' sense of purpose, possibilities, place in the world and cohesiveness of self. Turning to clinical issues, we explore how metacognitive research offers an operational model of the architecture which if repaired or restored should promote the recovery of a coherent sense of self and others in psychosis. Finally, we discuss the concrete implications of this for recovery-oriented treatment for psychosis as well as the need for further research on the commonalities of these approaches.
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Affiliation(s)
- P H Lysaker
- Richard L Roudebush VA Medical Center, Department of Psychiatry, 1481 W. 10th St., Indianapolis, IN, 46202, USA. .,Department of Psychiatry, Indiana University School of Medicine, 340 W. 10th St., Indianapolis, IN, 46202, USA.
| | - S Cheli
- University of Florence, School of Human Health Sciences, Piazza di San Marco, 4, 50121, Florence, FI, Italy
| | - G Dimaggio
- Terzocentro di Psicoterapia Cognitiva, Associazione di Psicologia Cognitiva, Via Ravenna, 9, 00161, Rome, RM, Italy
| | - B Buck
- Department of Psychiatry and Behavioral Sciences, University of Washington, Behavioral Research in Technology and Engineering (BRiTE) Center, 1851 NE Grant Ln., Seattle, WA, 98185, USA
| | - K A Bonfils
- University of Southern Mississippi, School of Psychology, 118 College Dr., Hattiesbury, MS, 39406, USA
| | - K Huling
- University of Indianapolis, School of Psychological Sciences, 1400 E. Hanna Ave., Indianapolis, IN, 46277, USA
| | - C Wiesepape
- Indiana State University, Department of Psychology, 200 N. 7th St., Terre Haute, IN, 47809, USA
| | - J T Lysaker
- Department of Philosophy, Emory University, 201 Dowman Dr., Atlanta, GA, 30322, USA
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