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Zhang C, Wang X. Association of Exercise with Better Olfactory Performance and Higher Functional Connectivity Between the Olfactory Cortex and the Prefrontal Cortex: A Resting-State Functional Near-Infrared Spectroscopy Study. Brain Connect 2024. [PMID: 39302060 DOI: 10.1089/brain.2024.0015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2024] Open
Abstract
Background: Olfactory deterioration is suggested to be a predictor of some neurodegenerative diseases. Recent studies indicate that physical exercise has a positive relationship with olfactory performance, and a subregion in the prefrontal cortex (PFC) may play an important role in olfactory processing. The PFC is not only related to olfactory function but it also engages in complex functions such as cognition and emotional processing. Methodology: Our study compared the functional connectivity between the olfactory cortex and the PFC in healthy individuals who exercised regularly and healthy persons who did not. Those who exercised more than three times/week for at least 30 min each time were considered the exercise group, and those who did not meet this exercise criteria were considered the nonexercise group. We also assessed their odor threshold. Participants were aged 55 years or older, and the two groups were balanced for age, sex, body mass index, and educational level. Results: We found that compared with individuals who did not exercise, exercisers had a significantly lower threshold for detecting odors. In addition, the olfactory cortex had stronger connectivity with the PFC in exercisers than in nonexercisers. More specifically, when the PFC was grouped into three subregions, namely, the ventrolateral prefrontal cortex (VLPFC), dorsolateral prefrontal cortex (DLPFC), and frontopolar cortex (FPA), Pearson correlation analysis revealed stronger connectivity between the VLPFC and the orbitofrontal cortex (OFC), between the OFC and the FPA, and between the left and right OFC hemispheres in the exercisers. In addition, Granger causality indicated higher directional connectivity from the DLPFC to the OFC in exercisers than in nonexercisers. Conclusion: Our findings indicated that the exercise group not only had better olfactory performance but also had stronger functional connectivity between the olfactory cortex and the PFC than nonexercise group.
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Affiliation(s)
- Chenping Zhang
- Department of Physical Education, Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Xiaochun Wang
- School of Psychology, Shanghai University of Sport, Shanghai, China
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2
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Miyata J, Sasamoto A, Ezaki T, Isobe M, Kochiyama T, Masuda N, Mori Y, Sakai Y, Sawamoto N, Tei S, Ubukata S, Aso T, Murai T, Takahashi H. Associations of conservatism and jumping to conclusions biases with aberrant salience and default mode network. Psychiatry Clin Neurosci 2024; 78:322-331. [PMID: 38414202 PMCID: PMC11488637 DOI: 10.1111/pcn.13652] [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: 03/26/2023] [Revised: 12/15/2023] [Accepted: 01/21/2024] [Indexed: 02/29/2024]
Abstract
AIM While conservatism bias refers to the human need for more evidence for decision-making than rational thinking expects, the jumping to conclusions (JTC) bias refers to the need for less evidence among individuals with schizophrenia/delusion compared to healthy people. Although the hippocampus-midbrain-striatal aberrant salience system and the salience, default mode (DMN), and frontoparietal networks ("triple networks") are implicated in delusion/schizophrenia pathophysiology, the associations between conservatism/JTC and these systems/networks are unclear. METHODS Thirty-seven patients with schizophrenia and 33 healthy controls performed the beads task, with large and small numbers of bead draws to decision (DTD) indicating conservatism and JTC, respectively. We performed independent component analysis (ICA) of resting functional magnetic resonance imaging (fMRI) data. For systems/networks above, we investigated interactions between diagnosis and DTD, and main effects of DTD. We similarly applied ICA to structural and diffusion MRI to explore the associations between DTD and gray/white matter. RESULTS We identified a significant main effect of DTD with functional connectivity between the striatum and DMN, which was negatively correlated with delusion severity in patients, indicating that the greater the anti-correlation between these networks, the stronger the JTC and delusion. We further observed the main effects of DTD on a gray matter network resembling the DMN, and a white matter network connecting the functional and gray matter networks (all P < 0.05, family-wise error [FWE] correction). Function and gray/white matter showed no significant interactions. CONCLUSION Our results support the novel association of conservatism and JTC biases with aberrant salience and default brain mode.
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Grants
- Kyoto University
- JP18dm0307008 Japan Agency for Medical Research and Development
- JP21uk1024002 Japan Agency for Medical Research and Development
- JPMJMS2021 Japan Science and Technology Agency
- Novartis Pharma Research Grant
- SENSHIN Medical Research Foundation
- JP17H04248 Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI
- JP18H05130 Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI
- JP19H03583 Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI
- JP20H05064 Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI
- JP20K21567 Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI
- JP21K07544 Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI
- JP26461767 Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology KAKENHI
- Takeda Science Foundation
- Uehara Memorial Foundation
- Kyoto University
- Japan Agency for Medical Research and Development
- Japan Science and Technology Agency
- SENSHIN Medical Research Foundation
- Takeda Science Foundation
- Uehara Memorial Foundation
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Affiliation(s)
- Jun Miyata
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
- Department of PsychiatryAichi Medical UniversityAichiJapan
| | - Akihiko Sasamoto
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Takahiro Ezaki
- PRESTO, Japan Science and Technology AgencySaitamaJapan
- Research Center for Advanced Science and TechnologyThe University of TokyoTokyoJapan
| | - Masanori Isobe
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | | | - Naoki Masuda
- Department of MathematicsState University of New York at BuffaloBuffaloNew YorkUSA
- Computational and Data‐Enabled Science and Engineering ProgramState University of New York at BuffaloBuffaloNew YorkUSA
| | - Yasuo Mori
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Yuki Sakai
- ATR Brain Information Communication Research Laboratory GroupKyotoJapan
| | - Nobukatsu Sawamoto
- Department of Human Health Sciences, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Shisei Tei
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
- School of Human and Social SciencesTokyo International UniversityTokyoJapan
| | - Shiho Ubukata
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
- Medical Innovation CenterKyoto University Graduate School of MedicineKyotoJapan
| | - Toshihiko Aso
- Laboratory for Brain Connectomics ImagingRIKEN Center for Biosystems Dynamics ResearchKobeJapan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
| | - Hidehiko Takahashi
- Department of Psychiatry, Graduate School of MedicineKyoto UniversityKyotoJapan
- Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental SciencesTokyo Medical and Dental UniversityTokyoJapan
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3
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Gawęda Ł, Kowalski J, Aleksandrowicz A, Bagrowska P, Dąbkowska M, Pionke-Ubych R. A systematic review of performance-based assessment studies on cognitive biases in schizophrenia spectrum psychoses and clinical high-risk states: A summary of 40 years of research. Clin Psychol Rev 2024; 108:102391. [PMID: 38301343 DOI: 10.1016/j.cpr.2024.102391] [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: 08/30/2022] [Revised: 01/05/2024] [Accepted: 01/12/2024] [Indexed: 02/03/2024]
Abstract
Cognitive models of psychosis have stimulated empirical studies on cognitive biases involved in schizophrenia spectrum psychoses and their symptoms. This systematic review aimed to summarize the studies on the role of cognitive biases as assessed in different performance-based tasks in schizophrenia spectrum psychoses and clinical high-risk states. We focused on five cognitive biases linked to psychosis, i.e., aberrant salience, attentional biases, source monitoring biases, jumping to conclusions, and bias against disconfirmatory evidence. We identified N = 324 studies published in N = 308 articles fulfilling inclusion criteria. Most studies have been cross-sectional and confirmed that the schizophrenia spectrum psychoses are related to exaggerated cognitive biases compared to healthy controls. On the contrary, less evidence suggests a higher tendency for cognitive biases in the UHR sample. The only exceptions were source monitoring and jumping to conclusions, which were confirmed to be exaggerated in both clinical groups. Hallucinations and delusions were the most frequent symptoms studied in the context of cognitive biases. Based on the findings, we presented a hypothetical model on the role of interactions between cognitive biases or additive effects of biases in shaping the risk of psychosis. Future research is warranted for further development of cognitive models for psychosis.
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Affiliation(s)
- Łukasz Gawęda
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland.
| | - Joachim Kowalski
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
| | - Adrianna Aleksandrowicz
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
| | - Paulina Bagrowska
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
| | - Małgorzata Dąbkowska
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
| | - Renata Pionke-Ubych
- Experimental Psychopathology Lab, Institute of Psychology, Polish Academy of Sciences, Warsaw, Poland
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4
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Ruiz-Delgado I, Moreno-Küstner B, García-Medina M, Barrigón ML, Gonzalez-Higueras F, López-Carrilero R, Barrios-Mellado I, Barajas A, Pousa E, Lorente-Rovira E, Grasa E, Cid J, Barrau-Sastre P, Moritz S, Ochoa S. Is Metacognitive Training effective for improving neurocognitive function in patients with a recent onset of psychosis? Psychiatry Res 2022; 318:114941. [PMID: 36375331 DOI: 10.1016/j.psychres.2022.114941] [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: 08/09/2022] [Revised: 10/29/2022] [Accepted: 11/01/2022] [Indexed: 11/11/2022]
Abstract
The aims are to assess improvements in memory, attention and executive function in first-episode psychosis after Metacognitive Training (MCT). A multicenter randomized clinical trial was performed with two arms: MCT and psychoeducational intervention. A total of 126 patients with a diagnosis of psychosis, less than 5 years from the onset of the disease, were included. Patients were assessed two or three moments (baseline, post-treatment, 6 months follow-up) depending on the test, with a battery of neurocognitive tests (TAVEC, TMTA-B, CPT, WCST, Stroop and premorbid IQ). General linear models for repeated measures were performed. A better improvement in the MCT was found by an interaction between group and time in CPT Hit index, TMTB, Stroop, recent memory and number of perseverations of the TAVEC. Considering three assessments, a better improvement was found in non-perseverative, perseverative and total errors of the WCST and TMTB. The MCT is an effective psychological intervention to improve several cognitive functions.
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Affiliation(s)
- Isabel Ruiz-Delgado
- UGC Salud Mental Hospital Regional de Málaga. Servicio Andaluz de Salud, Spain.
| | - Berta Moreno-Küstner
- PhD Department of Personality, Assessment and Psychological treatments. Faculty of Psychology,University of Málaga. Spain; Biomedical Research Institute of Malaga (IBIMA) Spain, GAP Research Group, Spain
| | | | - María Luisa Barrigón
- UGC Salud Mental Hospital Universitario Virgen del Rocio, Sevilla, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid Spain
| | | | - Raquel López-Carrilero
- Etiopatogènia i tractament dels trastorns mentals greus (MERITT), Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat. Parc Sanitari Sant Joan de Déu, Doctor Antoni Pujadas, Sant Boi de Llobregat, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid Spain
| | - Irene Barrios-Mellado
- UGC Salud Mental Hospital Universitario Virgen del Rocío. Servicio Andaluz de Salud, Spain
| | - Ana Barajas
- Department of Research, Centre d'Higiene Mental Les Corts, Barcelona, Spain; Department of Clinical and Health Psychology, Autonomous University of Barcelona, Bellatera, Cerdanyola del Vallès, Spain; Serra Húnter Programme, Government of Catalonia, Barcelona, Spain
| | - Esther Pousa
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid Spain; Servei de Psiquiatría Hospital de la Santa Creu i Sant Pau
| | - Esther Lorente-Rovira
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid Spain; Hospital Clínico Universitario, Valencia, Spain
| | - Eva Grasa
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid Spain; Servei de Psiquiatría Hospital de la Santa Creu i Sant Pau; Institut d'Investigació Biomèdica-Sant Pau (IIB-Sant Pau), Spain
| | - Jordi Cid
- Mental Health & Addiction Research Group, IdiBGi, Institut d'Assistencia Sanitària, Girona, Spain
| | - Paula Barrau-Sastre
- Etiopatogènia i tractament dels trastorns mentals greus (MERITT), Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat. Parc Sanitari Sant Joan de Déu, Doctor Antoni Pujadas, Sant Boi de Llobregat, Spain; Universitat Barcelona, Barcelona, Spain
| | - Steffen Moritz
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg, Hamburg, Germany
| | - Susana Ochoa
- Etiopatogènia i tractament dels trastorns mentals greus (MERITT), Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat. Parc Sanitari Sant Joan de Déu, Doctor Antoni Pujadas, Sant Boi de Llobregat, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid Spain.
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5
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Fouladirad S, Chen LV, Roes M, Chinchani A, Percival C, Khangura J, Zahid H, Moscovitz A, Arreaza L, Wun C, Sanford N, Balzan R, Moritz S, Menon M, Woodward TS. Functional brain networks underlying probabilistic reasoning and delusions in schizophrenia. Psychiatry Res Neuroimaging 2022; 323:111472. [PMID: 35405574 DOI: 10.1016/j.pscychresns.2022.111472] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 02/20/2022] [Accepted: 03/28/2022] [Indexed: 10/18/2022]
Abstract
Delusions in schizophrenia are false beliefs that are assigned certainty and not afforded the scrutiny that normally gives rise to doubt, even under conditions of weak evidence. The goal of the current functional magnetic resonance imaging (fMRI) study is to identify the brain network(s) involved in gathering information under conditions of weak evidence, in people with schizophrenia experiencing delusions. fMRI activity during probabilistic reasoning in people with schizophrenia experiencing delusions (n = 29) compared to people with schizophrenia not experiencing delusions (n = 41) and healthy controls (n = 41) was observed when participants made judgments based on evidence that weakly or strongly matched (or mismatched) with the focal hypothesis. A brain network involved in visual attention was strongly elicited for conditions of weak evidence for healthy controls and patients not experiencing delusions, but this increase was absent for patients experiencing delusions. This suggests that the state associated with delusions manifests in fMRI as reduced activity in an early visual attentional process whereby weak evidence is incorrectly stamped as conclusive, manifestating as a feeling of fluency and misplaced certainty, short-circuiting the search for evidence, and providing a candidate neural process for 'seeding' delusions.
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Affiliation(s)
- Saman Fouladirad
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Linda V Chen
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Faculty of Science, University of British Columbia, Vancouver, BC, Canada
| | - Meighen Roes
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Abhijit Chinchani
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Chantal Percival
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Jessica Khangura
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Hafsa Zahid
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Aly Moscovitz
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Leonardo Arreaza
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Charlotte Wun
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Nicole Sanford
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Ryan Balzan
- College of Education, Psychology & Social Work, Flinders University, Adelaide, SA, Australia
| | - Steffen Moritz
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Mahesh Menon
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Todd S Woodward
- BC Mental Health and Substance Use Services, Vancouver, BC, Canada; Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
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6
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Hauke DJ, Roth V, Karvelis P, Adams RA, Moritz S, Borgwardt S, Diaconescu AO, Andreou C. Increased Belief Instability in Psychotic Disorders Predicts Treatment Response to Metacognitive Training. Schizophr Bull 2022; 48:826-838. [PMID: 35639557 PMCID: PMC9212107 DOI: 10.1093/schbul/sbac029] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND AND HYPOTHESIS In a complex world, gathering information and adjusting our beliefs about the world is of paramount importance. The literature suggests that patients with psychotic disorders display a tendency to draw early conclusions based on limited evidence, referred to as the jumping-to-conclusions bias, but few studies have examined the computational mechanisms underlying this and related belief-updating biases. Here, we employ a computational approach to understand the relationship between jumping-to-conclusions, psychotic disorders, and delusions. STUDY DESIGN We modeled probabilistic reasoning of 261 patients with psychotic disorders and 56 healthy controls during an information sampling task-the fish task-with the Hierarchical Gaussian Filter. Subsequently, we examined the clinical utility of this computational approach by testing whether computational parameters, obtained from fitting the model to each individual's behavior, could predict treatment response to Metacognitive Training using machine learning. STUDY RESULTS We observed differences in probabilistic reasoning between patients with psychotic disorders and healthy controls, participants with and without jumping-to-conclusions bias, but not between patients with low and high current delusions. The computational analysis suggested that belief instability was increased in patients with psychotic disorders. Jumping-to-conclusions was associated with both increased belief instability and greater prior uncertainty. Lastly, belief instability predicted treatment response to Metacognitive Training at the individual level. CONCLUSIONS Our results point towards increased belief instability as a key computational mechanism underlying probabilistic reasoning in psychotic disorders. We provide a proof-of-concept that this computational approach may be useful to help identify suitable treatments for individual patients with psychotic disorders.
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Affiliation(s)
- D J Hauke
- To whom correspondence should be addressed; 250 College St., 12th Floor, Toronto, ON M5T 1R8, Canada; tel: +1 (416) 535-8501 ext. 30585, fax: +1 416-583-1207, e-mail:
| | - V Roth
- Department of Mathematics and Computer Science, University of Basel, Basel, Switzerland
| | - P Karvelis
- Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada
| | - R A Adams
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK,Max Planck Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom
| | - S Moritz
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - S Borgwardt
- Department of Psychiatry and Psychotherapy, Translational Psychiatry Unit, University of Lübeck, Lübeck, Germany,Center of Brain, Behaviour and Metabolism, University of Lübeck, Lübeck, Germany
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7
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Rootes-Murdy K, Goldsmith DR, Turner JA. Clinical and Structural Differences in Delusions Across Diagnoses: A Systematic Review. Front Integr Neurosci 2022; 15:726321. [PMID: 35140591 PMCID: PMC8818879 DOI: 10.3389/fnint.2021.726321] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 12/16/2021] [Indexed: 12/18/2022] Open
Abstract
Delusions are marked, fixed beliefs that are incongruent with reality. Delusions, with comorbid hallucinations, are a hallmark of certain psychotic disorders (e.g., schizophrenia). Delusions can present transdiagnostically, in neurodegenerative (e.g., Alzheimer's disease and fronto-temporal dementia), nervous system disorders (e.g., Parkinson's disease) and across other psychiatric disorders (e.g., bipolar disorder). The burden of delusions is severe and understanding the heterogeneity of delusions may delineate a more valid nosology of not only psychiatric disorders but also neurodegenerative and nervous system disorders. We systematically reviewed structural neuroimaging studies reporting on delusions in four disorder types [schizophrenia (SZ), bipolar disorder (BP), Alzheimer's disease (AD), and Parkinson's disease (PD)] to provide a comprehensive overview of neural changes and clinical presentations associated with delusions. Twenty-eight eligible studies were identified. This review found delusions were most associated with gray matter reductions in the dorsolateral prefrontal cortex (SZ, BP, and AD), left claustrum (SZ and AD), hippocampus (SZ and AD), insula (SZ, BP, and AD), amygdala (SZ and BP), thalamus (SZ and AD), superior temporal gyrus (SZ, BP, and AD), and middle frontal gyrus (SZ, BP, AD, and PD). However, there was a great deal of variability in the findings of each disorder. There is some support for the current dopaminergic hypothesis of psychosis, but we also propose new hypotheses related to the belief formation network and cognitive biases. We also propose a standardization of assessments to aid future transdiagnostic study approaches. Future studies should explore the neural and biological underpinnings of delusions to hopefully, inform future treatment.
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Affiliation(s)
- Kelly Rootes-Murdy
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology and Emory University, Atlanta, GA, United States
| | - David R. Goldsmith
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Jessica A. Turner
- Department of Psychology, Georgia State University, Atlanta, GA, United States
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology and Emory University, Atlanta, GA, United States
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8
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Shan X, Liao R, Ou Y, Pan P, Ding Y, Liu F, Chen J, Zhao J, Guo W, He Y. Increased regional homogeneity modulated by metacognitive training predicts therapeutic efficacy in patients with schizophrenia. Eur Arch Psychiatry Clin Neurosci 2021; 271:783-798. [PMID: 32215727 PMCID: PMC8119286 DOI: 10.1007/s00406-020-01119-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 03/11/2020] [Indexed: 02/07/2023]
Abstract
Previous studies have demonstrated the efficacy of metacognitive training (MCT) in schizophrenia. However, the underlying mechanisms related to therapeutic effect of MCT remain unknown. The present study explored the treatment effects of MCT on brain regional neural activity using regional homogeneity (ReHo) and whether these regions' activities could predict individual treatment response in schizophrenia. Forty-one patients with schizophrenia and 20 healthy controls were scanned using resting-state functional magnetic resonance imaging. Patients were randomly divided into drug therapy (DT) and drug plus psychotherapy (DPP) groups. The DT group received only olanzapine treatment, whereas the DPP group received olanzapine and MCT for 8 weeks. The results revealed that ReHo in the right precuneus, left superior medial prefrontal cortex (MPFC), right parahippocampal gyrus and left rectus was significantly increased in the DPP group after 8 weeks of treatment. Patients in the DT group showed significantly increased ReHo in the left ventral MPFC/anterior cingulate cortex (ACC), left superior MPFC/middle frontal gyrus (MFG), left precuneus, right rectus and left MFG, and significantly decreased ReHo in the bilateral cerebellum VIII and left inferior occipital gyrus (IOG) after treatment. Support vector regression analyses showed that high ReHo levels at baseline in the right precuneus and left superior MPFC could predict symptomatic improvement of Positive and Negative Syndrome Scale (PANSS) after 8 weeks of DPP treatment. Moreover, high ReHo levels at baseline and alterations of ReHo in the left ventral MPFC/ACC could predict symptomatic improvement of PANSS after 8 weeks of DT treatment. This study suggests that MCT is associated with the modulation of ReHo in schizophrenia. ReHo in the right precuneus and left superior MPFC may predict individual therapeutic response for MCT in patients with schizophrenia.
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Affiliation(s)
- Xiaoxiao Shan
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011 Hunan China ,National Clinical Research Center on Mental Disorders, Changsha, 410011 Hunan China
| | - Rongyuan Liao
- grid.412990.70000 0004 1808 322XThe Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan China
| | - Yangpan Ou
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011 Hunan China ,National Clinical Research Center on Mental Disorders, Changsha, 410011 Hunan China
| | - Pan Pan
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011 Hunan China ,National Clinical Research Center on Mental Disorders, Changsha, 410011 Hunan China
| | - Yudan Ding
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011 Hunan China ,National Clinical Research Center on Mental Disorders, Changsha, 410011 Hunan China
| | - Feng Liu
- grid.412645.00000 0004 1757 9434Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300000 China
| | - Jindong Chen
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011 Hunan China ,National Clinical Research Center on Mental Disorders, Changsha, 410011 Hunan China
| | - Jingping Zhao
- grid.452708.c0000 0004 1803 0208Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011 Hunan China ,National Clinical Research Center on Mental Disorders, Changsha, 410011 Hunan China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China. .,National Clinical Research Center on Mental Disorders, Changsha, 410011, Hunan, China.
| | - Yiqun He
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China.
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Vucurovic K, Caillies S, Kaladjian A. Neural correlates of theory of mind and empathy in schizophrenia: An activation likelihood estimation meta-analysis. J Psychiatr Res 2020; 120:163-174. [PMID: 31689587 DOI: 10.1016/j.jpsychires.2019.10.018] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 10/03/2019] [Accepted: 10/25/2019] [Indexed: 12/14/2022]
Abstract
Social cognition impairment predicts social functioning in schizophrenia. Several studies have found abnormal brain activation in patients with schizophrenia during social cognition tasks. Nevertheless, no coordinate-based meta-analysis comparing the neural correlates of theory of mind and empathy had been done in this population. Our aim was to explore neural correlates related to theory of mind and empathy in patients with schizophrenia compared to healthy controls, in order to identify abnormal brain activation related to emotional content during mental state attribution in schizophrenia. We performed a neural-coordinate-based Activation Likelihood Estimation (ALE) meta-analysis of existing neuroimaging data in the literature to distinguish between abnormal brain maps associated with emotional attribution and those associated with intention/belief inference. We found that brain activation in patients group was significantly decreased in the right ventrolateral prefrontal cortex (VLPFC) during emotional attribution, while there was a significant decrease in the left posterior temporo-parietal junction (TPJ) during intention/belief attribution. Using a meta-analytic connectivity modeling approach (MACM), we demonstrated that both regions are coactivated with other brain regions known to play a role in social cognition, including the bilateral anterior insula, right TPJ, left amygdala and dorsolateral prefrontal cortex. In addition, abnormal activation in both the left TPJ and right VLPFC was previously reported in association with verbal-auditory hallucinations and a "jumping to conclusions" cognitive bias. Thus, these regions could be valuable targets for therapeutic interventions in schizophrenia.
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Affiliation(s)
- Ksenija Vucurovic
- Laboratoire C2S (Cognition, Santé, Société), University of Reims Champagne Ardenne, EA 6291, France.
| | - Stéphanie Caillies
- Laboratoire C2S (Cognition, Santé, Société), University of Reims Champagne Ardenne, EA 6291, France
| | - Arthur Kaladjian
- Laboratoire C2S (Cognition, Santé, Société), University of Reims Champagne Ardenne, EA 6291, France; Department of Psychiatry, University Hospital, Reims, France
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