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Clement MK, Pimentel CS, McGaughy JA. Dopaminergic lesions of the anterior cingulate cortex of rats increase vulnerability to salient distractors. Eur J Neurosci 2024; 59:3353-3375. [PMID: 38654478 DOI: 10.1111/ejn.16352] [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: 09/08/2023] [Revised: 03/14/2024] [Accepted: 03/16/2024] [Indexed: 04/26/2024]
Abstract
The anterior cingulate cortex (ACC) has been shown to be critical to many aspects of executive function including filtering irrelevant information, updating response contingencies when reinforcement contingencies change and stabilizing task sets. Nonspecific lesions to this region in rats produce a vulnerability to distractors that have gained salience through prior associations with reinforcement. These lesions also exacerbate cognitive fatigue in tests of sustained attention but do not produce global attentional impairments nor do they produce distractibility to novel distractors that do not have a prior association with reinforcement. To determine the neurochemical basis of these cognitive impairments, dopaminergically selective lesions of the ACC were made in both male and female Long-Evans, hooded rats prior to assessment in two attentional tasks. Dopaminergic lesions of the ACC increase the vulnerability of subjects to previously reinforced distractors and impede formation of an attentional set. Lesioned rats were not more susceptible to the effects of novel, irrelevant stimuli in a test of sustained attention as has been previously shown. Additionally, the effects of dopaminergic lesions were found to differ based on sex. Lesioned female, but not male, rats were more vulnerable than sham-lesioned females to the effects of prolonged testing and the removal of reinforcement during a test of sustained attention. Together, these data support the hypothesis that dopamine in the ACC is critical to filtering distractors whose salience has been gained through reinforcement.
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Affiliation(s)
- Madison K Clement
- Department of Psychology, University of New Hampshire, Durham, NH, United States
| | - Cynthia S Pimentel
- Department of Psychology, University of New Hampshire, Durham, NH, United States
| | - Jill A McGaughy
- Department of Psychology, University of New Hampshire, Durham, NH, United States
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2
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Chen G, Li R, Tian H, Ma X, Sun Y, Jia F, Ping J, Cai Z, Zhu J, Zhuo C, Pan Z. Validation of a modified Chinese-language version of the Davos Assessment of Cognitive Biases Scale (MCL-DACOBS) in a sample of Chinese patients with schizophrenia. Brain Behav 2023; 13:e3185. [PMID: 37563871 PMCID: PMC10570469 DOI: 10.1002/brb3.3185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 06/30/2023] [Accepted: 07/17/2023] [Indexed: 08/12/2023] Open
Abstract
INTRODUCTION The Davos Assessment of Cognitive Biases Scale (DACOBS) is widely used to assess cognitive biases in patients who have schizophrenia. However, the lack of a modified Chinese-language version of the DACOBS (MCL-DACOBS) precludes Chinese schizophrenic patients from treatment aimed at normalizing cognitive biases, impacting their prognosis. Here, we aimed to produce a DACOBS for China and test the validity and reliability of the resultant MCL-DACOBS. METHODS Eighteen researchers collaborated to develop the MCL-DACOBS: A total of 15 researchers modified and translated the English version of the DACOBS, 1 native-English-speaking researcher back-translated the scale, and 2 Chinese sinologists localized and optimized the language of the MCL-DACOBS. Forty-two volunteers checked the scale items' comprehensibility, and the two sinologists performed further localization and optimization based on their feedback. The final version of the MCL-DACOBS used in this study was thus derived from the harmonized English-language version of the scale. Confirmatory factor analyses (CFAs) were used to examine the best latent structure of the MCL-DACOBS. Cronbach's α and intraclass correlation coefficients (ICCs) were used to check the reliability. The discriminative ability of the MCL-DACOBS was assessed according to the area under the receiver operating characteristic curve. RESULTS The CFA showed that all items loaded onto factors with loadings >0.400. A two-factor structure showed a good model fit (root mean square error of approximation = .018, Tucker-Lewis index = .978, comparative fit index = .984). Promax rotation demonstrated that each item had a high factor load (0.432-0.774). Cronbach's α coefficient and ICC for the MCL-DOCABS were .965 and .957, respectively, indicating that the scale has ideal reliability. CONCLUSION The MCL-DACOBS has good validity and good reliability, and its psychometric properties indicate that it is a valid tool for measuring cognitive biases in Chinese patients with schizophrenia.
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Affiliation(s)
- Guangdong Chen
- Department of Psychiatry, Children CenterWenzhou Seventh Peoples HospitalWenzhouChina
| | - Ranli Li
- Department of Psychiatry, MECT CenterTianjin Anding HospitalTianjinChina
| | - Hongjun Tian
- Key Laboratory of Sensor Information Processing Abnormalities in Schizophrenia (SIPAS‐Lab)Tianjin Fourth Center HospitalNankai University Affiliated Tianjin Fourth Center HospitalTianjin Medical University Affiliated Tianjin Fourth Center HospitalTianjinChina
| | - Xiaoyan Ma
- Department of Psychiatry, MECT CenterTianjin Anding HospitalTianjinChina
| | - Yun Sun
- Department of Psychiatry, MECT CenterTianjin Anding HospitalTianjinChina
| | - Feng Jia
- Department of Psychiatry, MECT CenterTianjin Anding HospitalTianjinChina
| | - Jing Ping
- Department of Psychiatry, Children CenterWenzhou Seventh Peoples HospitalWenzhouChina
| | - Ziyao Cai
- Department of Psychiatry, Children CenterWenzhou Seventh Peoples HospitalWenzhouChina
| | - Jingjing Zhu
- Department of Psychiatry, Children CenterWenzhou Seventh Peoples HospitalWenzhouChina
| | - Chuanjun Zhuo
- Department of Psychiatry, Children CenterWenzhou Seventh Peoples HospitalWenzhouChina
- Department of Psychiatry, MECT CenterTianjin Anding HospitalTianjinChina
- Key Laboratory of Sensor Information Processing Abnormalities in Schizophrenia (SIPAS‐Lab)Tianjin Fourth Center HospitalNankai University Affiliated Tianjin Fourth Center HospitalTianjin Medical University Affiliated Tianjin Fourth Center HospitalTianjinChina
| | - Zhi Pan
- Department of Psychiatry, Children CenterWenzhou Seventh Peoples HospitalWenzhouChina
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3
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Limongi R, Silva AM, Mackinley M, Ford SD, Palaniyappan L. Active Inference, Epistemic Value, and Uncertainty in Conceptual Disorganization in First-Episode Schizophrenia. Schizophr Bull 2023; 49:S115-S124. [PMID: 36946528 PMCID: PMC10031740 DOI: 10.1093/schbul/sbac125] [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] [Indexed: 03/23/2023]
Abstract
BACKGROUND AND HYPOTHESIS Active inference has become an influential concept in psychopathology. We apply active inference to investigate conceptual disorganization in first-episode schizophrenia. We conceptualize speech production as a decision-making process affected by the latent "conceptual organization"-as a special case of uncertainty about the causes of sensory information. Uncertainty is both minimized via speech production-in which function words index conceptual organization in terms of analytic thinking-and tracked by a domain-general salience network. We hypothesize that analytic thinking depends on conceptual organization. Therefore, conceptual disorganization in schizophrenia would be both indexed by low conceptual organization and reflected in the effective connectivity within the salience network. STUDY DESIGN With 1-minute speech samples from a picture description task and resting state fMRI from 30 patients and 30 healthy subjects, we employed dynamic causal and probabilistic graphical models to investigate if the effective connectivity of the salience network underwrites conceptual organization. STUDY RESULTS Low analytic thinking scores index low conceptual organization which affects diagnostic status. The influence of the anterior insula on the anterior cingulate cortex and the self-inhibition within the anterior cingulate cortex are elevated given low conceptual organization (ie, conceptual disorganization). CONCLUSIONS Conceptual organization, a construct that explains formal thought disorder, can be modeled in an active inference framework and studied in relation to putative neural substrates of disrupted language in schizophrenia. This provides a critical advance to move away from rating-scale scores to deeper constructs in the pursuit of the pathophysiology of formal thought disorder.
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Affiliation(s)
- Roberto Limongi
- Department of Psychology, University of Western Ontario, London, ON, Canada
- Robarts Research Institute, London, ON, Canada
| | | | - Michael Mackinley
- Robarts Research Institute, London, ON, Canada
- Department of Psychiatry, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | | | - Lena Palaniyappan
- Robarts Research Institute, London, ON, Canada
- Department of Psychiatry, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- The Brain and Mind Institute, University of Western Ontario, London, ON, Canada
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, QC, Canada
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4
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Fujihara K. Beyond the γ-aminobutyric acid hypothesis of schizophrenia. Front Cell Neurosci 2023; 17:1161608. [PMID: 37168420 PMCID: PMC10165250 DOI: 10.3389/fncel.2023.1161608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 04/04/2023] [Indexed: 05/13/2023] Open
Abstract
Abnormalities in the γ-aminobutyric acid (GABA) system have been reported in the postmortem brains of individuals with schizophrenia. In particular, the reduction of one of the GABA-synthesizing enzymes, the 67-kDa isoform of glutamate decarboxylase (GAD67), has garnered interest among researchers because of its role in the formation of γ-oscillations and its potential involvement in the cognitive dysfunction observed in schizophrenia. Although several animal models have been generated to simulate the alterations observed in postmortem brain studies, they exhibit inconsistent behavioral phenotypes, leading to conflicting views regarding their contributions to the pathogenesis and manifestation of schizophrenia symptoms. For instance, GAD67 knockout rats (also known as Gad1 knockout rats) exhibit marked impairments in spatial working memory, but other model animals do not. In this review, we summarize the phenotypic attributes of these animal models and contemplate the potential for secondary modifications that may arise from the disruption of the GABAergic nervous system.
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Affiliation(s)
- Kazuyuki Fujihara
- Department of Psychiatry and Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan
- Department of Genetic and Behavioral Neuroscience, Gunma University Graduate School of Medicine, Maebashi, Japan
- *Correspondence: Kazuyuki Fujihara,
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5
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Liddle PF, Liddle EB. Imprecise Predictive Coding Is at the Core of Classical Schizophrenia. Front Hum Neurosci 2022; 16:818711. [PMID: 35308615 PMCID: PMC8928728 DOI: 10.3389/fnhum.2022.818711] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/14/2022] [Indexed: 12/23/2022] Open
Abstract
Current diagnostic criteria for schizophrenia place emphasis on delusions and hallucinations, whereas the classical descriptions of schizophrenia by Kraepelin and Bleuler emphasized disorganization and impoverishment of mental activity. Despite the availability of antipsychotic medication for treating delusions and hallucinations, many patients continue to experience persisting disability. Improving treatment requires a better understanding of the processes leading to persisting disability. We recently introduced the term classical schizophrenia to describe cases with disorganized and impoverished mental activity, cognitive impairment and predisposition to persisting disability. Recent evidence reveals that a polygenic score indicating risk for schizophrenia predicts severity of the features of classical schizophrenia: disorganization, and to a lesser extent, impoverishment of mental activity and cognitive impairment. Current understanding of brain function attributes a cardinal role to predictive coding: the process of generating models of the world that are successively updated in light of confirmation or contradiction by subsequent sensory information. It has been proposed that abnormalities of these predictive processes account for delusions and hallucinations. Here we examine the evidence provided by electrophysiology and fMRI indicating that imprecise predictive coding is the core pathological process in classical schizophrenia, accounting for disorganization, psychomotor poverty and cognitive impairment. Functional imaging reveals aberrant brain activity at network hubs engaged during encoding of predictions. We discuss the possibility that frequent prediction errors might promote excess release of the neurotransmitter, dopamine, thereby accounting for the occurrence of episodes of florid psychotic symptoms including delusions and hallucinations in classical schizophrenia. While the predictive coding hypotheses partially accounts for the time-course of classical schizophrenia, the overall body of evidence indicates that environmental factors also contribute. We discuss the evidence that chronic inflammation is a mechanism that might link diverse genetic and environmental etiological factors, and contribute to the proposed imprecision of predictive coding.
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Affiliation(s)
- Peter F. Liddle
- Centre for Translational Neuroimaging for Mental Health, School of Medicine, Institute of Mental Health, University of Nottingham, Nottingham, United Kingdom
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6
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Griffiths SL, Leighton SP, Mallikarjun PK, Blake G, Everard L, Jones PB, Fowler D, Hodgekins J, Amos T, Freemantle N, Sharma V, Marshall M, McCrone P, Singh SP, Birchwood M, Upthegrove R. Structure and stability of symptoms in first episode psychosis: a longitudinal network approach. Transl Psychiatry 2021; 11:567. [PMID: 34743179 PMCID: PMC8572227 DOI: 10.1038/s41398-021-01687-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 09/21/2021] [Accepted: 10/20/2021] [Indexed: 12/13/2022] Open
Abstract
Early psychosis is characterised by heterogeneity in illness trajectories, where outcomes remain poor for many. Understanding psychosis symptoms and their relation to illness outcomes, from a novel network perspective, may help to delineate psychopathology within early psychosis and identify pivotal targets for intervention. Using network modelling in first episode psychosis (FEP), this study aimed to identify: (a) key central and bridge symptoms most influential in symptom networks, and (b) examine the structure and stability of the networks at baseline and 12-month follow-up. Data on 1027 participants with FEP were taken from the National EDEN longitudinal study and used to create regularised partial correlation networks using the 'EBICglasso' algorithm for positive, negative, and depressive symptoms at baseline and at 12-months. Centrality and bridge estimations were computed using a permutation-based network comparison test. Depression featured as a central symptom in both the baseline and 12-month networks. Conceptual disorganisation, stereotyped thinking, along with hallucinations and suspiciousness featured as key bridge symptoms across the networks. The network comparison test revealed that the strength and bridge centralities did not differ significantly between the two networks (C = 0.096153; p = 0.22297). However, the network structure and connectedness differed significantly from baseline to follow-up (M = 0.16405, p = <0.0001; S = 0.74536, p = 0.02), with several associations between psychosis and depressive items differing significantly by 12 months. Depressive symptoms, in addition to symptoms of thought disturbance (e.g. conceptual disorganisation and stereotyped thinking), may be examples of important, under-recognized treatment targets in early psychosis, which may have the potential to lead to global symptom improvements and better recovery.
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Affiliation(s)
| | - Samuel P Leighton
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | | | - Georgina Blake
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Linda Everard
- Birmingham and Solihull Mental Health Foundation Trust, Birmingham, UK
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge and CAMEO, Cambridge and Peterborough NHS Foundation Trust, Cambridge, UK
| | - David Fowler
- Department of Psychology, University of Sussex, Brighton, UK
| | | | - Tim Amos
- Academic Unit of Psychiatry, University of Bristol, Bristol, UK
| | - Nick Freemantle
- Institute of Clinical Trials and Methodology, University College London, London, UK
| | - Vimal Sharma
- Early Intervention Service, Cheshire and Wirral NHS Foundation Trust, Liverpool, UK
| | - Max Marshall
- Lancashire Care NHS Foundation Trust, Preston, UK
| | - Paul McCrone
- Institute for Life Course Development, University of Greenwich, London, UK
| | - Swaran P Singh
- Mental Health and Wellbeing Warwick Medical School, University of Warwick, Coventry, UK
| | - Max Birchwood
- Mental Health and Wellbeing Warwick Medical School, University of Warwick, Coventry, UK
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, UK
- College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
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7
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The Imbalanced Plasticity Hypothesis of Schizophrenia-Related Psychosis: A Predictive Perspective. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2021; 21:679-697. [PMID: 34050524 DOI: 10.3758/s13415-021-00911-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 04/28/2021] [Indexed: 02/06/2023]
Abstract
A considerable number of studies have attempted to account for the psychotic aspects of schizophrenia in terms of the influential predictive coding (PC) hypothesis. We argue that the prediction-oriented perspective on schizophrenia-related psychosis may benefit from a mechanistic model that: 1) gives due weight to the extent to which alterations in short- and long-term synaptic plasticity determine the degree and the direction of the functional disruption that occurs in psychosis; and 2) addresses the distinction between the two central syndromes of psychosis in schizophrenia: disorganization and reality-distortion. To accomplish these goals, we propose the Imbalanced Plasticity Hypothesis - IPH, and demonstrate that it: 1) accounts for commonalities and differences between disorganization and reality distortion in terms of excessive (hyper) or insufficient (hypo) neuroplasticity, respectively; 2) provides distinct predictions in the cognitive and electrophysiological domains; and 3) is able to reconcile conflicting PC-oriented accounts of psychosis.
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8
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Murray AJ, Rogers JC, Katshu MZUH, Liddle PF, Upthegrove R. Oxidative Stress and the Pathophysiology and Symptom Profile of Schizophrenia Spectrum Disorders. Front Psychiatry 2021; 12:703452. [PMID: 34366935 PMCID: PMC8339376 DOI: 10.3389/fpsyt.2021.703452] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 06/28/2021] [Indexed: 12/12/2022] Open
Abstract
Schizophrenia is associated with increased levels of oxidative stress, as reflected by an increase in the concentrations of damaging reactive species and a reduction in anti-oxidant defences to combat them. Evidence has suggested that whilst not the likely primary cause of schizophrenia, increased oxidative stress may contribute to declining course and poor outcomes associated with schizophrenia. Here we discuss how oxidative stress may be implicated in the aetiology of schizophrenia and examine how current understanding relates associations with symptoms, potentially via lipid peroxidation induced neuronal damage. We argue that oxidative stress may be a good target for future pharmacotherapy in schizophrenia and suggest a multi-step model of illness progression with oxidative stress involved at each stage.
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Affiliation(s)
- Alex J. Murray
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | - Jack C. Rogers
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | - Mohammad Zia Ul Haq Katshu
- Institute of Mental Health, Division of Mental Health and Neurosciences University of Nottingham, Nottingham, United Kingdom
- Nottinghamshire Healthcare National Health Service Foundation Trust, Nottingham, United Kingdom
| | - Peter F. Liddle
- Institute of Mental Health, Division of Mental Health and Neurosciences University of Nottingham, Nottingham, United Kingdom
| | - Rachel Upthegrove
- Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
- Early Intervention Service, Birmingham Women's and Children's National Health Service Foundation Trust, Centre for Human Brain Health, University of Birmingham, Birmingham, United Kingdom
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9
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Du J, Palaniyappan L, Liu Z, Cheng W, Gong W, Zhu M, Wang J, Zhang J, Feng J. The genetic determinants of language network dysconnectivity in drug-naïve early stage schizophrenia. NPJ SCHIZOPHRENIA 2021; 7:18. [PMID: 33658499 PMCID: PMC7930279 DOI: 10.1038/s41537-021-00141-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 01/12/2021] [Indexed: 01/31/2023]
Abstract
Schizophrenia is a neurocognitive illness of synaptic and brain network-level dysconnectivity that often reaches a persistent chronic stage in many patients. Subtle language deficits are a core feature even in the early stages of schizophrenia. However, the primacy of language network dysconnectivity and language-related genetic variants in the observed phenotype in early stages of illness remains unclear. This study used two independent schizophrenia dataset consisting of 138 and 53 drug-naïve first-episode schizophrenia (FES) patients, and 112 and 56 healthy controls, respectively. A brain-wide voxel-level functional connectivity analysis was conducted to investigate functional dysconnectivity and its relationship with illness duration. We also explored the association between critical language-related genetic (such as FOXP2) mutations and the altered functional connectivity in patients. We found elevated functional connectivity involving Broca's area, thalamus and temporal cortex that were replicated in two FES datasets. In particular, Broca's area - anterior cingulate cortex dysconnectivity was more pronounced for patients with shorter illness duration, while thalamic dysconnectivity was predominant in those with longer illness duration. Polygenic risk scores obtained from FOXP2-related genes were strongly associated with functional dysconnectivity identified in patients with shorter illness duration. Our results highlight the criticality of language network dysconnectivity, involving the Broca's area in early stages of schizophrenia, and the role of language-related genes in this aberration, providing both imaging and genetic evidence for the association between schizophrenia and the determinants of language.
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Affiliation(s)
- Jingnan Du
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Lena Palaniyappan
- Department of Psychiatry and Robarts Research Institute, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Zhaowen Liu
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Wei Cheng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
| | - Weikang Gong
- Centre for Functional MRI of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, UK
| | - Mengmeng Zhu
- State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zhang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
- Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China.
- Department of Computer Science, University of Warwick, Coventry, UK.
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10
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Hatzipantelis C, Langiu M, Vandekolk TH, Pierce TL, Nithianantharajah J, Stewart GD, Langmead CJ. Translation-Focused Approaches to GPCR Drug Discovery for Cognitive Impairments Associated with Schizophrenia. ACS Pharmacol Transl Sci 2020; 3:1042-1062. [PMID: 33344888 PMCID: PMC7737210 DOI: 10.1021/acsptsci.0c00117] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Indexed: 01/07/2023]
Abstract
There are no effective therapeutics for cognitive impairments associated with schizophrenia (CIAS), which includes deficits in executive functions (working memory and cognitive flexibility) and episodic memory. Compounds that have entered clinical trials are inadequate in terms of efficacy and/or tolerability, highlighting a clear translational bottleneck and a need for a cohesive preclinical drug development strategy. In this review we propose hippocampal-prefrontal-cortical (HPC-PFC) circuitry underlying CIAS-relevant cognitive processes across mammalian species as a target source to guide the translation-focused discovery and development of novel, procognitive agents. We highlight several G protein-coupled receptors (GPCRs) enriched within HPC-PFC circuitry as therapeutic targets of interest, including noncanonical approaches (biased agonism and allosteric modulation) to conventional clinical targets, such as dopamine and muscarinic acetylcholine receptors, along with prospective novel targets, including the orphan receptors GPR52 and GPR139. We also describe the translational limitations of popular preclinical cognition tests and suggest touchscreen-based assays that probe cognitive functions reliant on HPC-PFC circuitry and reflect tests used in the clinic, as tests of greater translational relevance. Combining pharmacological and behavioral testing strategies based in HPC-PFC circuit function creates a cohesive, translation-focused approach to preclinical drug development that may improve the translational bottleneck currently hindering the development of treatments for CIAS.
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Affiliation(s)
- Cassandra
J. Hatzipantelis
- Drug
Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
| | - Monica Langiu
- Drug
Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
| | - Teresa H. Vandekolk
- Drug
Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
| | - Tracie L. Pierce
- Drug
Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
| | - Jess Nithianantharajah
- Florey
Institute of Neuroscience
and Mental Health, University of Melbourne, Parkville, Victoria 3052, Australia
| | - Gregory D. Stewart
- Drug
Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
| | - Christopher J. Langmead
- Drug
Discovery Biology, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, Victoria 3052, Australia
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11
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Rathnaiah M, Liddle EB, Gascoyne L, Kumar J, Zia Ul Haq Katshu M, Faruqi C, Kelly C, Gill M, Robson S, Brookes M, Palaniyappan L, Morris P, Liddle PF. Quantifying the Core Deficit in Classical Schizophrenia. ACTA ACUST UNITED AC 2020; 1:sgaa031. [PMID: 32803162 PMCID: PMC7418866 DOI: 10.1093/schizbullopen/sgaa031] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
In the classical descriptions of schizophrenia, Kraepelin and Bleuler recognized disorganization and impoverishment of mental activity as fundamental symptoms. Their classical descriptions also included a tendency to persisting disability. The psychopathological processes underlying persisting disability in schizophrenia remain poorly understood. The delineation of a core deficit underlying persisting disability would be of value in predicting outcome and enhancing treatment. We tested the hypothesis that mental disorganization and impoverishment are associated with persisting impairments of cognition and role function, and together reflect a latent core deficit that is discernible in cases diagnosed by modern criteria. We used Confirmatory Factor Analysis to determine whether measures of disorganization, mental impoverishment, impaired cognition, and role functioning in 40 patients with schizophrenia represent a single latent variable. Disorganization scores were computed from the variance shared between disorganization measures from 3 commonly used symptom scales. Mental impoverishment scores were computed similarly. A single factor model exhibited a good fit, supporting the hypothesis that these measures reflect a core deficit. Persisting brain disorders are associated with a reduction in post-movement beta rebound (PMBR), the characteristic increase in electrophysiological beta amplitude that follows a motor response. Patients had significantly reduced PMBR compared with healthy controls. PMBR was negatively correlated with core deficit score. While the symptoms constituting impoverished and disorganized mental activity are dissociable in schizophrenia, nonetheless, the variance that these 2 symptom domains share with impaired cognition and role function, appears to reflect a pathophysiological process that might be described as the core deficit of classical schizophrenia.
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Affiliation(s)
- Mohanbabu Rathnaiah
- Institute of Mental Health, University of Nottingham, Nottingham, UK.,Nottinghamshire Healthcare NHS Foundation Trust, Duncan McMillan House, Nottingham, UK
| | | | - Lauren Gascoyne
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Jyothika Kumar
- Institute of Mental Health, University of Nottingham, Nottingham, UK
| | - Mohammad Zia Ul Haq Katshu
- Institute of Mental Health, University of Nottingham, Nottingham, UK.,Nottinghamshire Healthcare NHS Foundation Trust, Duncan McMillan House, Nottingham, UK
| | - Catherine Faruqi
- Nottinghamshire Healthcare NHS Foundation Trust, Duncan McMillan House, Nottingham, UK
| | - Christina Kelly
- Nottinghamshire Healthcare NHS Foundation Trust, Duncan McMillan House, Nottingham, UK
| | - Malkeet Gill
- Nottinghamshire Healthcare NHS Foundation Trust, Duncan McMillan House, Nottingham, UK
| | - Sian Robson
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Matt Brookes
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Lena Palaniyappan
- Department of Psychiatry and Robarts Research Institute, Western University, London, ON, Canada.,Lawson Imaging, Lawson Health Research Institute, London, ON, Canada
| | - Peter Morris
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Peter F Liddle
- Institute of Mental Health, University of Nottingham, Nottingham, UK
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Carpenter WT. Classical Schizophrenia: Liddle and the Core of Schizophrenia. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2020; 65:228-230. [PMID: 31830814 PMCID: PMC7385418 DOI: 10.1177/0706743719895200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- William T Carpenter
- Maryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, USA
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Liddle PF. [Not Available]. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2020; 65:235-236. [PMID: 32193963 PMCID: PMC7385416 DOI: 10.1177/0706743719890740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Peter F Liddle
- Division of Psychiatry and Applied Psychology, Institute of Mental Health, University of Nottingham, United Kingdom peter. liddle@nottingham. ac. uk
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14
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Keshavan MS, Kelly S, Hall MH. The Core Deficit of “Classical” Schizophrenia Cuts Across the
Psychosis Spectrum. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2020; 65:231-234. [PMID: 31961197 PMCID: PMC7385419 DOI: 10.1177/0706743719898911] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Matcheri S. Keshavan
- Harvard Medical School, Boston, MA, USA
- Psychosis Neurobiology Laboratory, McLean Hospital, Belmont, MA,
USA
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