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Dong X, Shovestul B, Saxena A, Dudek E, Reda S, Lamberti JS, Dodell-Feder D. Decision-making under risk and its correlates in schizophrenia. Schizophr Res Cogn 2024; 37:100314. [PMID: 38764743 PMCID: PMC11101893 DOI: 10.1016/j.scog.2024.100314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 04/26/2024] [Accepted: 04/30/2024] [Indexed: 05/21/2024]
Abstract
Schizophrenia spectrum disorders (SSD) are associated with pervasive cognitive impairments, including deficits in decision-making under risk. However, there is inconclusive evidence regarding specific mechanisms underlying altered decision-making patterns. In this study, participants (33 SSD and 28 non-SSD) completed the Columbia Card Task, an explicit risk-taking task, to better understand risk preference and adjustment in dynamic decision-making. We found that while there is no group difference in overall risk-taking, risk preference, or optimal decision-making, risk adjustment to contextual factors (e.g., loss probability) is blunted in SSD. We also found associations between risk-taking/suboptimal decision-making and disorganized symptoms, excited symptoms, and role functioning, but no associations between decision-making and working memory. These results suggest that during a complex, dynamic risk-taking task, individuals with SSD exhibit less adaption to changing information about risk, which may reflect risk imperception.
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Affiliation(s)
- Xiaoyu Dong
- Department of Psychology, University of Rochester, 500 Joseph C. Wilson Blvd, Rochester, NY 14627, United States of America
| | - Bridget Shovestul
- Department of Psychology, University of Rochester, 500 Joseph C. Wilson Blvd, Rochester, NY 14627, United States of America
| | - Abhishek Saxena
- Department of Psychology, University of Rochester, 500 Joseph C. Wilson Blvd, Rochester, NY 14627, United States of America
| | - Emily Dudek
- Department of Psychology, University of Houston, Houston, TX 77204, United States of America
| | - Stephanie Reda
- Department of Psychology, University of Rochester, 500 Joseph C. Wilson Blvd, Rochester, NY 14627, United States of America
| | - J. Steven Lamberti
- Department of Psychiatry, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, United States of America
| | - David Dodell-Feder
- Department of Psychology, University of Rochester, 500 Joseph C. Wilson Blvd, Rochester, NY 14627, United States of America
- Department of Neuroscience, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, United States of America
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2
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Gerchen MF, Glock C, Weiss F, Kirsch P. The truth is in there: Belief processes in the human brain. Psychophysiology 2024; 61:e14561. [PMID: 38459783 DOI: 10.1111/psyp.14561] [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: 05/17/2023] [Revised: 11/28/2023] [Accepted: 02/26/2024] [Indexed: 03/10/2024]
Abstract
Belief, defined by William James as the mental state or function of cognizing reality, is a core psychological function with strong influence on emotion and behavior. Furthermore, strong and aberrant beliefs about the world and oneself play important roles in mental disorders. The underlying processes of belief have been the matter of a long debate in philosophy and psychology, and modern neuroimaging techniques can provide insight into the underlying neural processes. Here, we conducted a functional magnetic resonance imaging study with N = 30 healthy participants in which we presented statements about facts, politics, religion, conspiracy theories, and superstition. Participants judged whether they considered them as true (belief) or not (disbelief) and reported their certainty in the decision. We found belief-associated activations in bilateral dorsolateral prefrontal cortex, left superior parietal cortex, and left lateral frontopolar cortex. Disbelief-associated activations were found in an anterior temporal cluster extending into the amygdala. We found a larger deactivation for disbelief than belief in the ventromedial prefrontal cortex that was most pronounced during decisions, suggesting a role of the vmPFC in belief-related decision-making. As a category-specific effect, we found disbelief-associated activation in retrosplenial cortex and parahippocampal gyrus for conspiracy theory statements. Exploratory analyses identified networks centered at anterior cingulate cortex for certainty, and dorsomedial prefrontal cortex for uncertainty. The uncertainty effect identifies a neural substrate for Alexander Bain's notion from 1859 of uncertainty as the real opposite of belief. Taken together, our results suggest a two-factor neural process model of belief with falsehood/veracity and uncertainty/certainty factors.
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Affiliation(s)
- Martin Fungisai Gerchen
- Department of Clinical Psychology, Central Institute of Mental Health, Heidelberg University/Medical Faculty Mannheim, Mannheim, Germany
- Department of Psychology, Heidelberg University, Heidelberg, Germany
- Bernstein Center for Computational Neuroscience Heidelberg/Mannheim, Mannheim, Germany
- Heidelberg Academy of Sciences and Humanities, Heidelberg, Germany
| | - Carina Glock
- Department of Clinical Psychology, Central Institute of Mental Health, Heidelberg University/Medical Faculty Mannheim, Mannheim, Germany
- Department of Psychology, Heidelberg University, Heidelberg, Germany
| | - Franziska Weiss
- Department of Clinical Psychology, Central Institute of Mental Health, Heidelberg University/Medical Faculty Mannheim, Mannheim, Germany
| | - Peter Kirsch
- Department of Clinical Psychology, Central Institute of Mental Health, Heidelberg University/Medical Faculty Mannheim, Mannheim, Germany
- Department of Psychology, Heidelberg University, Heidelberg, Germany
- Bernstein Center for Computational Neuroscience Heidelberg/Mannheim, Mannheim, Germany
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3
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Xie Y, Li C, Guan M, Zhang T, Ma C, Wang Z, Ma Z, Wang H, Fang P. The efficacy of low frequency repetitive transcial magnetic stimulation for treating auditory verbal hallucinations in schizophrenia: Insights from functional gradient analyses. Heliyon 2024; 10:e30194. [PMID: 38707410 PMCID: PMC11066630 DOI: 10.1016/j.heliyon.2024.e30194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/20/2024] [Accepted: 04/22/2024] [Indexed: 05/07/2024] Open
Abstract
Background Auditory Verbal Hallucinations (AVH) constitute a prominent feature of schizophrenia. Although low-frequency repetitive transcranial magnetic stimulation (rTMS) has demonstrated therapeutic benefits in ameliorating AVH, the underlying mechanisms of its efficacy necessitate further elucidation. Objective This study investigated the cortical gradient characteristics and their associations with clinical responses in schizophrenia patients with AVH, mediated through 1 Hz rTMS targeting the left temporoparietal junction. Method Functional gradient metrics were employed to examine the hierarchy patterns of cortical organization, capturing whole-brain functional connectivity profiles in patients and controls. Results The 1 Hz rTMS treatment effectively ameliorated the positive symptoms in patients, specifically targeting AVH. Initial evaluations revealed expanded global gradient distribution patterns and specific principal gradient variations in certain brain regions in patients at baseline compared to a control cohort. Following treatment, these divergent global and local patterns showed signs of normalizing. Furthermore, there was observed a closer alignment in between-network dispersion among various networks after treatment, including the somatomotor, attention, and limbic networks, indicating a potential harmonization of brain functionality. Conclusion Low-frequency rTMS induces alternations in principal functional gradient patterns, may serve as imaging markers to elucidate the mechanisms underpinning the therapeutic efficacy of rTMS on AVH in schizophrenia.
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Affiliation(s)
- Yuanjun Xie
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Chenxi Li
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Muzhen Guan
- Department of Mental Health, Xi'an Medical College, Xi'an, China
| | - Tian Zhang
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Chaozong Ma
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Zhongheng Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Zhujing Ma
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
| | - Huaning Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Peng Fang
- Military Medical Psychology School, Fourth Military Medical University, Xi'an, China
- Shaanxi Provincial Key Laboratory of Bioelectromagnetic Detection and Intelligent Perception, Xi'an, China
- Military Medical Innovation Center, Fourth Military Medical University, Xi'an, China
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4
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O'Brien AM, May TA, Koskey KLK, Bungert L, Cardinaux A, Cannon J, Treves IN, D'Mello AM, Joseph RM, Li C, Diamond S, Gabrieli JDE, Sinha P. Development of a Self-Report Measure of Prediction in Daily Life: The Prediction-Related Experiences Questionnaire. J Autism Dev Disord 2024:10.1007/s10803-024-06379-2. [PMID: 38713266 DOI: 10.1007/s10803-024-06379-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/22/2024] [Indexed: 05/08/2024]
Abstract
PURPOSE Predictions are complex, multisensory, and dynamic processes involving real-time adjustments based on environmental inputs. Disruptions to prediction abilities have been proposed to underlie characteristics associated with autism. While there is substantial empirical literature related to prediction, the field lacks a self-assessment measure of prediction skills related to daily tasks. Such a measure would be useful to better understand the nature of day-to-day prediction-related activities and characterize these abilities in individuals who struggle with prediction. METHODS An interdisciplinary mixed-methods approach was utilized to develop and validate a self-report questionnaire of prediction skills for adults, the Prediction-Related Experiences Questionnaire (PRE-Q). Two rounds of online field testing were completed in samples of autistic and neurotypical (NT) adults. Qualitative feedback from a subset of these participants regarding question content and quality was integrated and Rasch modeling of the item responses was applied. RESULTS The final PRE-Q includes 19 items across 3 domains (Sensory, Motor, Social), with evidence supporting the validity of the measure's 4-point response categories, internal structure, and relationship to other outcome measures associated with prediction. Consistent with models of prediction challenges in autism, autistic participants indicated more prediction-related difficulties than the NT group. CONCLUSIONS This study provides evidence for the validity of a novel self-report questionnaire designed to measure the day-to-day prediction skills of autistic and non-autistic adults. Future research should focus on characterizing the relationship between the PRE-Q and lab-based measures of prediction, and understanding how the PRE-Q may be used to identify potential areas for clinical supports for individuals with prediction-related challenges.
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Affiliation(s)
- Amanda M O'Brien
- Program in Speech and Hearing Bioscience and Technology, Harvard University, Cambridge, MA, USA.
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Hock E. Tan and K. Lisa Yang Center for Autism Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Toni A May
- School of Education, Drexel University, Philadelphia, PA, USA
| | | | - Lindsay Bungert
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- The Donald and Barbara Zucker School of Medicine, Hofstra University, Long Island, NY, USA
| | - Annie Cardinaux
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jonathan Cannon
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Psychology, Neuroscience, and Behaviour, McMaster University, Hamilton, Ontario, Canada
| | - Isaac N Treves
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Anila M D'Mello
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Psychiatry and O'Donnell Brain Institute, UT Southwestern Medical Center, Dallas, TX, USA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Cindy Li
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Hock E. Tan and K. Lisa Yang Center for Autism Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Sidney Diamond
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - John D E Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Hock E. Tan and K. Lisa Yang Center for Autism Research, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Pawan Sinha
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
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López-Silva P, Harrow M, Jobe TH, Tufano M, Harrow H, Rosen C. 'Are these my thoughts?': A 20-year prospective study of thought insertion, thought withdrawal, thought broadcasting, and their relationship to auditory verbal hallucinations. Schizophr Res 2024; 265:46-57. [PMID: 35945121 DOI: 10.1016/j.schres.2022.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 06/27/2022] [Accepted: 07/08/2022] [Indexed: 11/22/2022]
Abstract
The co-occurrence of delusions and other symptoms at the onset of psychosis is a challenge for theories about the aetiology of psychosis. This paper explores the relatedness of delusions about the experience of thinking (thought insertion, thought withdrawal, and thought broadcasting) and auditory verbal hallucinations by describing their trajectories over a 20-year period in individuals diagnosed with schizophrenia, affective and other psychosis, and unipolar depression nonpsychosis. The sample consisted of 407 participants who were recruited at index hospitalization and evaluated over six follow-ups over 20 years. The symptom structure associated with thought insertion included auditory verbal hallucinations, somatic hallucinations, other hallucinations, delusions of thought-dissemination, delusions of control, delusion of self-depreciation, depersonalization and anxiety. The symptom constellation of thought withdrawal included somatic hallucinations, other hallucinations, delusions of thought dissemination, delusions of control, sexual delusions, depersonalization, negative symptoms, depression, and anxiety. The symptom constellation of thought broadcasting included auditory verbal hallucinations, somatic hallucinations, delusions of thought-dissemination, delusion of self-depreciation, fantastic delusions, sexual delusions, and depersonalization. Auditory verbal hallucinations and delusions of self-depreciation were significantly associated with both thought insertion and thought broadcasting. Thought insertion and thought withdrawal were significantly associated with other hallucinations, delusions of control, and anxiety; thought withdrawal and thought broadcasting were significantly related to sexual delusions. We hypothesize that specific symptom constellations over time might be explained as the product of pseudo-coherent realities created to give meaning to the experience of the world and the self of individuals in psychosis based on both prior top-down and ongoing bottom-up elements.
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Affiliation(s)
- Pablo López-Silva
- Faculty of Social Sciences, School of Psychology, Universidad de Valparaíso, Chile
| | - Martin Harrow
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Thomas H Jobe
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Michele Tufano
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Helen Harrow
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Cherise Rosen
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States.
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Wolff A, Northoff G. Temporal imprecision of phase coherence in schizophrenia and psychosis-dynamic mechanisms and diagnostic marker. Mol Psychiatry 2024; 29:425-438. [PMID: 38228893 DOI: 10.1038/s41380-023-02337-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 11/03/2023] [Accepted: 11/23/2023] [Indexed: 01/18/2024]
Abstract
Schizophrenia (SCZ) is a complex disorder in which various pathophysiological models have been postulated. Brain imaging studies using EEG/MEG and fMRI show altered amplitude and, more recently, decrease in phase coherence in response to external stimuli. What are the dynamic mechanisms of such phase incoherence, and can it serve as a differential-diagnostic marker? Addressing this gap in our knowledge, we uniquely combine a review of previous findings, novel empirical data, and computational-dynamic simulation. The main findings are: (i) the review shows decreased phase coherence in SCZ across a variety of different tasks and frequencies, e.g., task- and frequency-unspecific, which is further supported by our own novel data; (ii) our own data demonstrate diagnostic specificity of decreased phase coherence for SCZ as distinguished from major depressive disorder; (iii) simulation data exhibit increased phase offset in SCZ leading to a precision index, in the millisecond range, of the phase coherence relative to the timing of the external stimulus. Together, we demonstrate the key role of temporal imprecision in phase coherence of SCZ, including its mechanisms (phase offsets, precision index) on the basis of which we propose a phase-based temporal imprecision model of psychosis (PTP). The PTP targets a deeper dynamic layer of a basic disturbance. This converges well with other models of psychosis like the basic self-disturbance and time-space experience changes, as discussed in phenomenological and spatiotemporal psychopathology, as well as with the models of aberrant predictive coding and disconnection as in computational psychiatry. Finally, our results show that temporal imprecision as manifest in decreased phase coherence is a promising candidate biomarker for clinical differential diagnosis of SCZ, and more broadly, psychosis.
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Affiliation(s)
- Annemarie Wolff
- University of Ottawa Institute of Mental Health Research, 1145 Carling Avenue, Ottawa, ON, K1Z 7K4, Canada.
| | - Georg Northoff
- University of Ottawa Institute of Mental Health Research, 1145 Carling Avenue, Ottawa, ON, K1Z 7K4, Canada.
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Larsen EM, Jin J, Zhang X, Donaldson KR, Liew M, Horga G, Luhmann C, Mohanty A. Hallucination-Proneness is Associated With a Decrease in Robust Averaging of Perceptual Evidence. Schizophr Bull 2024; 50:59-68. [PMID: 37622401 PMCID: PMC10754164 DOI: 10.1093/schbul/sbad129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
BACKGROUND AND HYPOTHESIS Hallucinations are characterized by disturbances in perceptual decision-making about environmental stimuli. When integrating across multiple stimuli to form a perceptual decision, typical observers engage in "robust averaging" by down-weighting extreme perceptual evidence, akin to a statistician excluding outlying data. Furthermore, observers adapt to contexts with more unreliable evidence by increasing this down-weighting strategy. Here, we test the hypothesis that hallucination-prone individuals (n = 38 high vs n = 91 low) would show a decrease in this robust averaging and diminished sensitivity to changes in evidence variance. STUDY DESIGN We used a multielement perceptual averaging task to elicit dichotomous judgments about the "average color" (red/blue) of an array of stimuli in trials with varied strength (mean) and reliability (variance) of decision-relevant perceptual evidence. We fitted computational models to task behavior, with a focus on a log-posterior-ratio (LPR) model which integrates evidence as a function of the log odds of each perceptual option and produces a robust averaging effect. STUDY RESULTS Hallucination-prone individuals demonstrated less robust averaging, seeming to weigh inlying and outlying extreme or untrustworthy evidence more equally. Furthermore, the model that integrated evidence as a function of the LPR of the two perceptual options and produced robust averaging showed poorer fit for the group prone to hallucinations. Finally, the weighting strategy in hallucination-prone individuals remained insensitive to evidence variance. CONCLUSIONS Our findings provide empirical support for theoretical proposals regarding evidence integration aberrations in psychosis and alterations in the perceptual systems that track statistical regularities in environmental stimuli.
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Affiliation(s)
- Emmett M Larsen
- Department of Psychology, Stony Brook University, Stony Brook, NY
| | - Jingwen Jin
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Xian Zhang
- Department of Psychology, Stony Brook University, Stony Brook, NY
| | | | - Megan Liew
- Department of Psychology, Stony Brook University, Stony Brook, NY
| | - Guillermo Horga
- Department of Psychiatry, Columbia University, New York, NY
- New York State Psychiatric Institute (NYSPI), New York, NY
| | | | - Aprajita Mohanty
- Department of Psychology, Stony Brook University, Stony Brook, NY
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Cooper C, Meso AI. Cognitive-perceptual traits associated with autism and schizotypy influence use of physics during predictive visual tracking. Eur J Neurosci 2023; 58:4236-4254. [PMID: 37850610 DOI: 10.1111/ejn.16169] [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: 02/11/2023] [Revised: 09/11/2023] [Accepted: 09/27/2023] [Indexed: 10/19/2023]
Abstract
Schizophrenia and autism spectrum disorder (ASD) can disrupt cognition and consequently behaviour. Traits of ASD and the subclinical manifestation of schizophrenia called schizotypy have been studied in healthy populations with overlap found in trait profiles linking ASD social deficits to negative schizotypy and ASD attention to detail to positive schizotypy. Here, we probed the relationship between subtrait profiles, cognition and behaviour, using a predictive tracking task to measure individuals' eye movements under three gravity conditions. A total of 48 healthy participants tracked an on-screen projected ball under familiar gravity, inverted upward acceleration (against gravity) and horizontal gravity control conditions while eye movements were recorded and dynamic performance quantified. Participants completed ASD and schizotypy inventories generating highly correlated scores, r = 0.73. All tracked best under the gravity condition, producing anticipatory downward responses from stimulus onset which were delayed under upward inverted gravity. Tracking performance was not associated with overall ASD or schizotypy trait levels. Combining measures using principal components analysis (PCA), we decomposed the inventories into subtraits unveiling interesting patterns. Positive schizotypy was associated with ASD dimensions of rigidity, odd behaviour and face processing, which all linked to anticipatory tracking responses under inverted gravity. In contrast, negative schizotypy was associated with ASD dimensions of social interactions and rigidity and to early stimulus-driven tracking under gravity. There was also substantial nonspecific overlap between ASD and schizotypy dissociated from tracking. Our work links positive-odd traits with anticipatory tracking when physics rules are violated and negative-social traits with exploitation of physics laws of motion.
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Affiliation(s)
- Chloe Cooper
- Acute Inpatient Psychology, Dorset Healthcare University NHS Foundation Trust, Poole, UK
- Psychology and Interdisciplinary Neuroscience Group, Bournemouth University, Poole, UK
| | - Andrew Isaac Meso
- Psychology and Interdisciplinary Neuroscience Group, Bournemouth University, Poole, UK
- Neuroimaging Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Ghaneirad E, Borgolte A, Sinke C, Čuš A, Bleich S, Szycik GR. The effect of multisensory semantic congruency on unisensory object recognition in schizophrenia. Front Psychiatry 2023; 14:1246879. [PMID: 38025441 PMCID: PMC10646423 DOI: 10.3389/fpsyt.2023.1246879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Multisensory, as opposed to unisensory processing of stimuli, has been found to enhance the performance (e.g., reaction time, accuracy, and discrimination) of healthy individuals across various tasks. However, this enhancement is not as pronounced in patients with schizophrenia (SZ), indicating impaired multisensory integration (MSI) in these individuals. To the best of our knowledge, no study has yet investigated the impact of MSI deficits in the context of working memory, a domain highly reliant on multisensory processing and substantially impaired in schizophrenia. To address this research gap, we employed two adopted versions of the continuous object recognition task to investigate the effect of single-trail multisensory encoding on subsequent object recognition in 21 schizophrenia patients and 21 healthy controls (HC). Participants were tasked with discriminating between initial and repeated presentations. For the initial presentations, half of the stimuli were audiovisual pairings, while the other half were presented unimodal. The task-relevant stimuli were then presented a second time in a unisensory manner (either auditory stimuli in the auditory task or visual stimuli in the visual task). To explore the impact of semantic context on multisensory encoding, half of the audiovisual pairings were selected to be semantically congruent, while the remaining pairs were not semantically related to each other. Consistent with prior studies, our findings demonstrated that the impact of single-trial multisensory presentation during encoding remains discernible during subsequent object recognition. This influence could be distinguished based on the semantic congruity between the auditory and visual stimuli presented during the encoding. This effect was more robust in the auditory task. In the auditory task, when congruent multisensory pairings were encoded, both participant groups demonstrated a multisensory facilitation effect. This effect resulted in improved accuracy and RT performance. Regarding incongruent audiovisual encoding, as expected, HC did not demonstrate an evident multisensory facilitation effect on memory performance. In contrast, SZs exhibited an atypically accelerated reaction time during the subsequent auditory object recognition. Based on the predictive coding model we propose that this observed deviations indicate a reduced semantic modulatory effect and anomalous predictive errors signaling, particularly in the context of conflicting cross-modal sensory inputs in SZ.
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Affiliation(s)
- Erfan Ghaneirad
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hanover, Germany
| | - Anna Borgolte
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hanover, Germany
| | - Christopher Sinke
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Division of Clinical Psychology and Sexual Medicine, Hannover Medical School, Hannover, Germany
| | - Anja Čuš
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hanover, Germany
| | - Stefan Bleich
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hanover, Germany
- Center for Systems Neuroscience, University of Veterinary Medicine, Hanover, Germany
| | - Gregor R. Szycik
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hanover, Germany
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10
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Draganov M, Galiano-Landeira J, Doruk Camsari D, Ramírez JE, Robles M, Chanes L. Noninvasive modulation of predictive coding in humans: causal evidence for frequency-specific temporal dynamics. Cereb Cortex 2023:7156779. [PMID: 37154618 DOI: 10.1093/cercor/bhad127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/17/2023] [Accepted: 03/18/2023] [Indexed: 05/10/2023] Open
Abstract
Increasing evidence indicates that the brain predicts sensory input based on past experiences, importantly constraining how we experience the world. Despite a growing interest on this framework, known as predictive coding, most of such approaches to multiple psychological domains continue to be theoretical or primarily provide correlational evidence. We here explored the neural basis of predictive processing using noninvasive brain stimulation and provide causal evidence of frequency-specific modulations in humans. Participants received 20 Hz (associated with top-down/predictions), 50 Hz (associated with bottom-up/prediction errors), or sham transcranial alternating current stimulation on the left dorsolateral prefrontal cortex while performing a social perception task in which facial expression predictions were induced and subsequently confirmed or violated. Left prefrontal 20 Hz stimulation reinforced stereotypical predictions. In contrast, 50 Hz and sham stimulation failed to yield any significant behavioral effects. Moreover, the frequency-specific effect observed was further supported by electroencephalography data, which showed a boost of brain activity at the stimulated frequency band. These observations provide causal evidence for how predictive processing may be enabled in the human brain, setting up a needed framework to understand how it may be disrupted across brain-related conditions and potentially restored through noninvasive methods.
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Affiliation(s)
- Metodi Draganov
- Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
| | - Jordi Galiano-Landeira
- Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
| | - Deniz Doruk Camsari
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, United States
| | - Jairo-Enrique Ramírez
- Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
| | - Marta Robles
- Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
- Department of Psychiatry and Psychotherapy, Medical Faculty, LMU Munich, Munich 80336, Germany
| | - Lorena Chanes
- Department of Clinical and Health Psychology, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
- Institut de Neurociències, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
- Serra Húnter Programme, Generalitat de Catalunya, Barcelona 08002, Spain
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Fromm SP, Wieland L, Klettke A, Nassar MR, Katthagen T, Markett S, Heinz A, Schlagenhauf F. Computational mechanisms of belief updating in relation to psychotic-like experiences. Front Psychiatry 2023; 14:1170168. [PMID: 37215663 PMCID: PMC10196365 DOI: 10.3389/fpsyt.2023.1170168] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 04/07/2023] [Indexed: 05/24/2023] Open
Abstract
Introduction Psychotic-like experiences (PLEs) may occur due to changes in weighting prior beliefs and new evidence in the belief updating process. It is still unclear whether the acquisition or integration of stable beliefs is altered, and whether such alteration depends on the level of environmental and belief precision, which reflects the associated uncertainty. This motivated us to investigate uncertainty-related dynamics of belief updating in relation to PLEs using an online study design. Methods We selected a sample (n = 300) of participants who performed a belief updating task with sudden change points and provided self-report questionnaires for PLEs. The task required participants to observe bags dropping from a hidden helicopter, infer its position, and dynamically update their belief about the helicopter's position. Participants could optimize performance by adjusting learning rates according to inferred belief uncertainty (inverse prior precision) and the probability of environmental change points. We used a normative learning model to examine the relationship between adherence to specific model parameters and PLEs. Results PLEs were linked to lower accuracy in tracking the outcome (helicopter location) (β = 0.26 ± 0.11, p = 0.018) and to a smaller increase of belief precision across observations after a change point (β = -0.003 ± 0.0007, p < 0.001). PLEs were related to slower belief updating when participants encountered large prediction errors (β = -0.03 ± 0.009, p = 0.001). Computational modeling suggested that PLEs were associated with reduced overall belief updating in response to prediction errors (βPE = -1.00 ± 0.45, p = 0.028) and reduced modulation of updating at inferred environmental change points (βCPP = -0.84 ± 0.38, p = 0.023). Discussion We conclude that PLEs are associated with altered dynamics of belief updating. These findings support the idea that the process of balancing prior belief and new evidence, as a function of environmental uncertainty, is altered in PLEs, which may contribute to the development of delusions. Specifically, slower learning after large prediction errors in people with high PLEs may result in rigid beliefs. Disregarding environmental change points may limit the flexibility to establish new beliefs in the face of contradictory evidence. The present study fosters a deeper understanding of inferential belief updating mechanisms underlying PLEs.
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Affiliation(s)
- Sophie Pauline Fromm
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Lara Wieland
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
| | - Arne Klettke
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Matthew R. Nassar
- Carney Institute for Brain Science, Brown University, Providence, RI, United States
- Department of Neuroscience, Brown University, Providence, RI, United States
| | - Teresa Katthagen
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Sebastian Markett
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andreas Heinz
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Florian Schlagenhauf
- Department of Psychiatry and Neuroscience | CCM, NeuroCure Clinical Research Center, Berlin Institute of Health CCM, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Berlin, Germany
- Bernstein Center for Computational Neuroscience, Berlin, Germany
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12
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Purcell JR, Brown JW, Tullar RL, Bloomer BF, Kim DJ, Moussa-Tooks AB, Dolan-Bennett K, Bangert BM, Wisner KM, Lundin NB, O'Donnell BF, Hetrick WP. Insular and Striatal Correlates of Uncertain Risky Reward Pursuit in Schizophrenia. Schizophr Bull 2023; 49:726-737. [PMID: 36869757 PMCID: PMC10154703 DOI: 10.1093/schbul/sbac206] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
Abstract
BACKGROUND AND HYPOTHESIS Risk-taking in specific contexts can be beneficial, leading to rewarding outcomes. Schizophrenia is associated with disadvantageous decision-making, as subjects pursue uncertain risky rewards less than controls. However, it is unclear whether this behavior is associated with more risk sensitivity or less reward incentivization. Matching on demographics and intelligence quotient (IQ), we determined whether risk-taking was more associated with brain activation in regions affiliated with risk evaluation or reward processing. STUDY DESIGN Subjects (30 schizophrenia/schizoaffective disorder, 30 controls) completed a modified, fMRI Balloon Analogue Risk Task. Brain activation was modeled during decisions to pursue risky rewards and parametrically modeled according to risk level. STUDY RESULTS The schizophrenia group exhibited less risky-reward pursuit despite previous adverse outcomes (Average Explosions; F(1,59) = 4.06, P = .048) but the comparable point at which risk-taking was volitionally discontinued (Adjusted Pumps; F(1,59) = 2.65, P = .11). Less activation was found in schizophrenia via whole brain and region of interest (ROI) analyses in the right (F(1,59) = 14.91, P < 0.001) and left (F(1,59) = 16.34, P < 0.001) nucleus accumbens (NAcc) during decisions to pursue rewards relative to riskiness. Risk-taking correlated with IQ in schizophrenia, but not controls. Path analyses of average ROI activation revealed less statistically determined influence of anterior insula upon dorsal anterior cingulate bilaterally (left: χ2 = 12.73, P < .001; right: χ2 = 9.54, P = .002) during risky reward pursuit in schizophrenia. CONCLUSIONS NAcc activation in schizophrenia varied less according to the relative riskiness of uncertain rewards compared to controls, suggesting aberrations in reward processing. The lack of activation differences in other regions suggests similar risk evaluation. Less insular influence on the anterior cingulate may relate to attenuated salience attribution or inability for risk-related brain region collaboration to sufficiently perceive situational risk.
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Affiliation(s)
- John R Purcell
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
- Program in Neuroscience, Indiana University, Bloomington, IN, USA
- Department of Psychiatry, Brain Health Institute, Rutgers University, Piscataway, NJ, USA
| | - Joshua W Brown
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
- Program in Neuroscience, Indiana University, Bloomington, IN, USA
| | - Rachel L Tullar
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Bess F Bloomer
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Dae-Jin Kim
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
| | - Alexandra B Moussa-Tooks
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
- Program in Neuroscience, Indiana University, Bloomington, IN, USA
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Katherine Dolan-Bennett
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
- Department of Psychological and Brain Science, Washington University, St. Louise, MO, USA
| | - Brianna M Bangert
- Program in Neuroscience, Indiana University, Bloomington, IN, USA
- College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Krista M Wisner
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
- Program in Neuroscience, Indiana University, Bloomington, IN, USA
| | - Nancy B Lundin
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
- Program in Neuroscience, Indiana University, Bloomington, IN, USA
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Brian F O'Donnell
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
- Program in Neuroscience, Indiana University, Bloomington, IN, USA
| | - William P Hetrick
- Department of Psychological & Brain Sciences, Indiana University, Bloomington, IN, USA
- Program in Neuroscience, Indiana University, Bloomington, IN, USA
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13
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Williams AB, Liu X, Hsieh F, Hurtado M, Lesh T, Niendam T, Carter C, Ranganath C, Ragland JD. Memory-Based Prediction Deficits and Dorsolateral Prefrontal Dysfunction in Schizophrenia. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2023; 8:71-78. [PMID: 35618258 PMCID: PMC10036169 DOI: 10.1016/j.bpsc.2022.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 05/05/2022] [Accepted: 05/06/2022] [Indexed: 01/11/2023]
Abstract
BACKGROUND Theories suggest that people with schizophrenia (SZ) have problems generating predictions based on past experiences. The dorsolateral prefrontal cortex (DLPFC) and hippocampus participate in memory-based prediction. We used functional magnetic resonance imaging to investigate DLPFC and hippocampal function in healthy control (HC) subjects and people with SZ during memory-based prediction. METHODS Prior to scanning, HC subjects (n = 54) and people with SZ (n = 31) learned 5-object sequences presented in fixed or random orders on each repetition. During scanning, participants made semantic decisions (e.g., "Can this object fit in a shoebox?") on a continuous stream of objects from fixed and random sequences. Sequence prediction was demonstrated by faster semantic decisions for objects in fixed versus random sequences because memory could be used to anticipate and more efficiently process semantic information about upcoming objects in fixed sequences. Representational similarity analyses were used to determine how each sequence type was represented in the posterior hippocampus and DLPFC. RESULTS Sequence predictions were reduced in individuals with SZ relative to HC subjects. Representational similarity analyses revealed stronger memory-based predictions in the DLPFC of HC subjects than people with SZ, and DLPFC representations correlated with more successful predictions in HC subjects only. For the posterior hippocampus, voxel pattern similarity was increased for fixed versus random sequences in HC subjects only, but no significant between-group differences or correlations with prediction success were observed. CONCLUSIONS Individuals with SZ are capable of learning temporal sequences; however, they are impaired using memory to predict upcoming events as efficiently as HC subjects. This deficit appears related to disrupted neural representation of sequence information in the DLPFC.
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Affiliation(s)
- Ashley B Williams
- Center for Neuroscience, University of California, Davis, Davis, California
| | - Xiaonan Liu
- Center for Neuroscience, University of California, Davis, Davis, California; Departments of Psychology, University of California, Davis, Davis, California
| | - Frank Hsieh
- Department of Psychology, University of California, Berkeley, Berkeley, California; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, California
| | - Mitzi Hurtado
- Psychiatry and Behavioral Sciences, University of California, Davis, Davis, California
| | - Tyler Lesh
- Psychiatry and Behavioral Sciences, University of California, Davis, Davis, California
| | - Tara Niendam
- Psychiatry and Behavioral Sciences, University of California, Davis, Davis, California
| | - Cameron Carter
- Departments of Psychology, University of California, Davis, Davis, California; Psychiatry and Behavioral Sciences, University of California, Davis, Davis, California
| | - Charan Ranganath
- Center for Neuroscience, University of California, Davis, Davis, California; Departments of Psychology, University of California, Davis, Davis, California
| | - J Daniel Ragland
- Psychiatry and Behavioral Sciences, University of California, Davis, Davis, California.
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14
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Joo SW, Kim H, Jo YT, Ahn S, Choi YJ, Choi W, Lee J. Impact of the early phase of the COVID-19 pandemic on the use of mental health services in South Korea: a nationwide, health insurance data-based study. Soc Psychiatry Psychiatr Epidemiol 2023; 58:441-452. [PMID: 36350338 PMCID: PMC9644390 DOI: 10.1007/s00127-022-02382-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 10/28/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE The coronavirus disease 2019 (COVID-19) pandemic has profoundly affected the utilization of mental health services. Existing evidence investigating this issue at the nationwide level is lacking, and it is uncertain whether the effects of the COVID-19 pandemic on the use of psychiatric services differs based on psychiatric diagnosis. METHODS Data from the claims database between October 2015 and August 2020 was obtained from the Health Insurance Review and Assessment agency in South Korea. Based on the main diagnostic codes, psychiatric patients were identified and categorized into diagnostic groups (anxiety disorders, bipolar and related disorders, depressive disorders, and schizophrenia spectrum disorders). We calculated the number of psychiatric inpatients and outpatients and the medication adherence of patients for each month. We compared the actual and predicted values of outcomes during the COVID-19 pandemic and performed interrupted time-series analyses to test the statistical significance of the impact of the pandemic. RESULTS During the COVID-19 pandemic, the number of inpatients and admissions to psychiatric hospitals decreased for bipolar and related disorders and depressive disorders. In addition, the number of patients admitted to psychiatric hospitals for schizophrenia spectrum disorders decreased. The number of psychiatric outpatients showed no significant change in all diagnostic groups. Increased medication adherence was observed for depressive, schizophrenia spectrum, and bipolar and related disorders. CONCLUSIONS In the early phase of the COVID-19 pandemic, there was a trend of a decreasing number of psychiatric inpatients and increasing medication adherence; however, the number of psychiatric outpatients remained unaltered.
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Affiliation(s)
- Sung Woo Joo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, SongPa-Gu, Seoul, 05505, Republic of Korea
| | - Harin Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, SongPa-Gu, Seoul, 05505, Republic of Korea
| | - Young Tak Jo
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, SongPa-Gu, Seoul, 05505, Republic of Korea
| | - Soojin Ahn
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, SongPa-Gu, Seoul, 05505, Republic of Korea
| | - Young Jae Choi
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, SongPa-Gu, Seoul, 05505, Republic of Korea
| | - Woohyeok Choi
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, SongPa-Gu, Seoul, 05505, Republic of Korea
| | - Jungsun Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-Ro 43-Gil, SongPa-Gu, Seoul, 05505, Republic of Korea.
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15
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Schimmelpfennig J, Topczewski J, Zajkowski W, Jankowiak-Siuda K. The role of the salience network in cognitive and affective deficits. Front Hum Neurosci 2023; 17:1133367. [PMID: 37020493 PMCID: PMC10067884 DOI: 10.3389/fnhum.2023.1133367] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 02/22/2023] [Indexed: 04/07/2023] Open
Abstract
Analysis and interpretation of studies on cognitive and affective dysregulation often draw upon the network paradigm, especially the Triple Network Model, which consists of the default mode network (DMN), the frontoparietal network (FPN), and the salience network (SN). DMN activity is primarily dominant during cognitive leisure and self-monitoring processes. The FPN peaks during task involvement and cognitive exertion. Meanwhile, the SN serves as a dynamic "switch" between the DMN and FPN, in line with salience and cognitive demand. In the cognitive and affective domains, dysfunctions involving SN activity are connected to a broad spectrum of deficits and maladaptive behavioral patterns in a variety of clinical disorders, such as depression, insomnia, narcissism, PTSD (in the case of SN hyperactivity), chronic pain, and anxiety, high degrees of neuroticism, schizophrenia, epilepsy, autism, and neurodegenerative illnesses, bipolar disorder (in the case of SN hypoactivity). We discuss behavioral and neurological data from various research domains and present an integrated perspective indicating that these conditions can be associated with a widespread disruption in predictive coding at multiple hierarchical levels. We delineate the fundamental ideas of the brain network paradigm and contrast them with the conventional modular method in the first section of this article. Following this, we outline the interaction model of the key functional brain networks and highlight recent studies coupling SN-related dysfunctions with cognitive and affective impairments.
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Affiliation(s)
- Jakub Schimmelpfennig
- Behavioral Neuroscience Lab, Institute of Psychology, SWPS University, Warsaw, Poland
| | - Jan Topczewski
- Behavioral Neuroscience Lab, Institute of Psychology, SWPS University, Warsaw, Poland
| | | | - Kamila Jankowiak-Siuda
- Behavioral Neuroscience Lab, Institute of Psychology, SWPS University, Warsaw, Poland
- *Correspondence: Kamila Jankowiak-Siuda
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Chao PY, Hsieh WL, Yeh ST, Hsieh CJ, Liu CY, Liu WI. Factors associated with personal recovery among psychiatric nursing home residents. J Psychiatr Ment Health Nurs 2022; 29:852-860. [PMID: 34957650 DOI: 10.1111/jpm.12814] [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: 05/31/2021] [Revised: 11/29/2021] [Accepted: 12/17/2021] [Indexed: 11/28/2022]
Abstract
WHAT IS KNOWN ABOUT THE SUBJECT?: Poor recovery will cause harm to the quality of life and well-being of residents and that the scope of influence includes the self, family and society. No study to date has investigated empowerment and the other multiple factors associated with personal recovery among psychiatric nursing home residents. WHAT DOES THE PAPER ADD TO EXISTING KNOWLEDGE?: The factors associated with personal recovery are empowerment, social support and global functioning. This pioneer study contributes new evidence that personal recovery is mainly predicted by empowerment, social support and global function, with empowerment exhibiting the highest predictive value. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Strengthening empowerment in mental health nursing may contribute more to the personal recovery of psychiatric nursing home residents than improving global function or social support. Mental health professionals should shift to empowerment-oriented care to improve individuals' personal recovery, such as offering more opportunities to achieve autonomy, encouraging individuals' involvement in decision-making and promoting individuals' motivation for achieving their goals. ABSTRACT: Introduction Individuals diagnosed with mental illness have a need for recovery. No study to date has investigated empowerment and the other multiple factors associated with personal recovery among psychiatric nursing home residents. Aim The study aimed to identify the factors associated with personal recovery among psychiatric nursing home residents. Methods This was a cross-sectional study with convenience sampling. Participants were recruited from a psychiatric nursing home in Northern Taiwan between April and June 2018. Data were collected through self-reported, structured questionnaires with verified reliability and validity. Descriptive and hierarchical regression analyses were performed. The present study followed the STROBE guidelines. Results The study included 158 participants. The factors associated with recovery according to bivariate associations were religious belief, psychotic symptoms, global function, social support and empowerment. In the hierarchical regression, empowerment, social support and global function were the main predictive factors of recovery, with the explained variation reaching 40.8%. Empowerment exhibited the highest predictive value for the recovery. Implications for clinical practice Strengthening empowerment in mental health nursing may contribute more to the personal recovery of psychiatric nursing home residents than improving global function or social support.
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Affiliation(s)
- Pei-Yi Chao
- Department of nursing, Bali Psychiatric Center, New Taipei City, Taiwan
| | - Wen Ling Hsieh
- School of Nursing, National Taipei University of Nursing and Health Sciences, Taipei city, Taiwan.,Center for Nursing and Healthcare Research in Clinical Practice Application, Wan Fang Hospital, Taipei Medical University, Taipei City, Taiwan
| | - Shin Ting Yeh
- Department of Gerontological Health Care, National Taipei University of Nursing and Health Sciences, Taipei city, Taiwan
| | - Chia Jung Hsieh
- School of Nursing, National Taipei University of Nursing and Health Sciences, Taipei city, Taiwan
| | - Chieh-Yu Liu
- Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei city, Taiwan
| | - Wen-I Liu
- School of Nursing, National Taipei University of Nursing and Health Sciences, Taipei city, Taiwan
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Menon V, Palaniyappan L, Supekar K. Integrative Brain Network and Salience Models of Psychopathology and Cognitive Dysfunction in Schizophrenia. Biol Psychiatry 2022:S0006-3223(22)01637-7. [PMID: 36702660 DOI: 10.1016/j.biopsych.2022.09.029] [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: 03/25/2022] [Revised: 08/09/2022] [Accepted: 09/06/2022] [Indexed: 01/28/2023]
Abstract
Brain network models of cognitive control are central to advancing our understanding of psychopathology and cognitive dysfunction in schizophrenia. This review examines the role of large-scale brain organization in schizophrenia, with a particular focus on a triple-network model of cognitive control and its role in aberrant salience processing. First, we provide an overview of the triple network involving the salience, frontoparietal, and default mode networks and highlight the central role of the insula-anchored salience network in the aberrant mapping of salient external and internal events in schizophrenia. We summarize the extensive evidence that has emerged from structural, neurochemical, and functional brain imaging studies for aberrancies in these networks and their dynamic temporal interactions in schizophrenia. Next, we consider the hypothesis that atypical striatal dopamine release results in misattribution of salience to irrelevant external stimuli and self-referential mental events. We propose an integrated triple-network salience-based model incorporating striatal dysfunction and sensitivity to perceptual and cognitive prediction errors in the insula node of the salience network and postulate that dysregulated dopamine modulation of salience network-centered processes contributes to the core clinical phenotype of schizophrenia. Thus, a powerful paradigm to characterize the neurobiology of schizophrenia emerges when we combine conceptual models of salience with large-scale cognitive control networks in a unified manner. We conclude by discussing potential therapeutic leads on restoring brain network dysfunction in schizophrenia.
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Affiliation(s)
- Vinod Menon
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California.
| | - Lena Palaniyappan
- Department of Psychiatry and Robarts Research Institute, University of Western Ontario, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada; Douglas Mental Health University Institute, Montreal, Quebec, Canada; Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Kaustubh Supekar
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California
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Rosen C, Harrow M, Humpston C, Tong L, Jobe TH, Harrow H. 'An experience of meaning': A 20-year prospective analysis of delusional realities in schizophrenia and affective psychoses. Front Psychiatry 2022; 13:940124. [PMID: 35990079 PMCID: PMC9388349 DOI: 10.3389/fpsyt.2022.940124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 06/24/2022] [Indexed: 11/13/2022] Open
Abstract
Delusions are transdiagnostic and heterogeneous phenomena with varying degrees of intensity, stability, and dimensional attributes where the boundaries between everyday beliefs and delusional beliefs can be experienced as clearly demarcated, fuzzy, or indistinguishable. This highlights the difficulty in defining delusional realities. All individuals in the current study were evaluated at index and at least one of six subsequential follow-ups over 20 years in the Chicago Longitudinal Study. We assessed 16 distinct delusions categorized as thought or thematic delusions. We also examined the probability of recurrence and the relationships between delusions and hallucinations, depression, anxiety, and negative symptoms. The sample consisted of 262 individuals with schizophrenia vs. affective psychosis. Thought delusions were significantly different between groups at all follow-up evaluations except the 20-year timepoint. Thematic delusions were more common than thought delusions and show a significant decreasing pattern. In general, delusional content varied over time. Referential, persecutory, and thought dissemination delusions show the highest probability of recurrence. Hallucinations were the strongest indicator for thought, thematic, and overall delusions. The formation and maintenance of delusions were conceptualized as a multimodal construct consisting of sensory, perceptual, emotional, social, and somatic embodiment of an "experience of meanings". Given the significant associations between delusions and hallucinations, future work incorporating participatory research is needed to better define and align subjective and objective perspectives. Our research also points to the need for future clinical interventions that specifically evaluate and target the coexistence and entanglement of delusions and hallucinations.
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Affiliation(s)
- Cherise Rosen
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Martin Harrow
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
| | - Clara Humpston
- Department of Psychology, University of York, York, United Kingdom
- School of Psychology, Institute for Mental Health, University of Birmingham, Birmingham, United Kingdom
| | - Liping Tong
- Advocate Aurora Health, Downers Grove, IL, United States
| | - Thomas H. Jobe
- Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States
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Vogel DHV. The Temporality of Aberrant Salience and Schizophrenia. Front Integr Neurosci 2022; 16:925716. [PMID: 35898443 PMCID: PMC9309519 DOI: 10.3389/fnint.2022.925716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 06/21/2022] [Indexed: 11/25/2022] Open
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Rethinking delusions: A selective review of delusion research through a computational lens. Schizophr Res 2022; 245:23-41. [PMID: 33676820 PMCID: PMC8413395 DOI: 10.1016/j.schres.2021.01.023] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 01/27/2021] [Accepted: 01/29/2021] [Indexed: 02/06/2023]
Abstract
Delusions are rigid beliefs held with high certainty despite contradictory evidence. Notwithstanding decades of research, we still have a limited understanding of the computational and neurobiological alterations giving rise to delusions. In this review, we highlight a selection of recent work in computational psychiatry aimed at developing quantitative models of inference and its alterations, with the goal of providing an explanatory account for the form of delusional beliefs in psychosis. First, we assess and evaluate the experimental paradigms most often used to study inferential alterations in delusions. Based on our review of the literature and theoretical considerations, we contend that classic draws-to-decision paradigms are not well-suited to isolate inferential processes, further arguing that the commonly cited 'jumping-to-conclusion' bias may reflect neither delusion-specific nor inferential alterations. Second, we discuss several enhancements to standard paradigms that show promise in more effectively isolating inferential processes and delusion-related alterations therein. We further draw on our recent work to build an argument for a specific failure mode for delusions consisting of prior overweighting in high-level causal inferences about partially observable hidden states. Finally, we assess plausible neurobiological implementations for this candidate failure mode of delusional beliefs and outline promising future directions in this area.
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21
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Iwakura Y, Kawahara-Miki R, Kida S, Sotoyama H, Gabdulkhaev R, Takahashi H, Kunii Y, Hino M, Nagaoka A, Izumi R, Shishido R, Someya T, Yabe H, Kakita A, Nawa H. Elevation of EGR1/zif268, a Neural Activity Marker, in the Auditory Cortex of Patients with Schizophrenia and its Animal Model. Neurochem Res 2022; 47:2715-2727. [PMID: 35469366 DOI: 10.1007/s11064-022-03599-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 03/31/2022] [Accepted: 04/05/2022] [Indexed: 02/06/2023]
Abstract
The family of epidermal growth factor (EGF) including neuregulin-1 are implicated in the neuropathology of schizophrenia. We established a rat model of schizophrenia by exposing perinatal rats to EGF and reported that the auditory pathophysiological traits of this model such as prepulse inhibition, auditory steady-state response, and mismatch negativity are relevant to those of schizophrenia. We assessed the activation status of the auditory cortex in this model, as well as that in patients with schizophrenia, by monitoring the three neural activity-induced proteins: EGR1 (zif268), c-fos, and Arc. Among the activity markers, protein levels of EGR1 were significantly higher at the adult stage in EGF model rats than those in control rats. The group difference was observed despite an EGF model rat and a control rat being housed together, ruling out the contribution of rat vocalization effects. These changes in EGR1 levels were seen to be specific to the auditory cortex of this model. The increase in EGR1 levels were detectable at the juvenile stage and continued until old ages but displayed a peak immediately after puberty, whereas c-fos and Arc levels were nearly indistinguishable between groups at all ages with an exception of Arc decrease at the juvenile stage. A similar increase in EGR1 levels was observed in the postmortem superior temporal cortex of patients with schizophrenia. The commonality of the EGR1 increase indicates that the EGR1 elevation in the auditory cortex might be one of the molecular signatures of this animal model and schizophrenia associating with hallucination.
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Affiliation(s)
- Yuriko Iwakura
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, Japan.
- Department of Brain Tumor Biology, Brain Research Institute, Niigata University, 1-757 Asahimachi-Dori, Chuo-ku, Niigata City, Niigata, 951-8585, Japan.
| | | | - Satoshi Kida
- Graduate School of Agriculture and Life Sciences, The University of Tokyo, Tokyo, Japan
- Department of Bioscience, Faculty of Life Science, Tokyo University of Agriculture, Tokyo, Japan
| | - Hidekazu Sotoyama
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Ramil Gabdulkhaev
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Hitoshi Takahashi
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Yasuto Kunii
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Mizuki Hino
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Atsuko Nagaoka
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Ryuta Izumi
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Risa Shishido
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Toshiyuki Someya
- Department of Psychiatry, Graduate School of Medical and Dental Sciences, Niigata University, Niigata, Japan
| | - Hirooki Yabe
- Department of Neuropsychiatry, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Hiroyuki Nawa
- Department of Molecular Neurobiology, Brain Research Institute, Niigata University, Niigata, Japan
- Department of Physiological Sciences, School of Pharmaceutical Sciences, Wakayama Medical University, Wakayama, Japan
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22
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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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23
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Núñez P, Gomez C, Rodríguez-González V, Hillebrand A, Tewarie P, Gomez-Pilar J, Molina V, Hornero R, Poza J. Schizophrenia induces abnormal frequency-dependent patterns of dynamic brain network reconfiguration during an auditory oddball task. J Neural Eng 2022; 19. [PMID: 35108688 DOI: 10.1088/1741-2552/ac514e] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 02/02/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Schizophrenia is a psychiatric disorder that has been shown to disturb the dynamic top-down processing of sensory information. Various imaging techniques have revealed abnormalities in brain activity associated with this disorder, both locally and between cerebral regions. However, there is increasing interest in investigating dynamic network response to novel and relevant events at the network level during an attention-demanding task with high-temporal-resolution techniques. The aim of the work was: (i) to test the capacity of a novel algorithm to detect recurrent brain meta-states from auditory oddball task recordings; and (ii) to evaluate how the dynamic activation and behavior of the aforementioned meta-states were altered in schizophrenia, since it has been shown to impair top-down processing of sensory information. APPROACH A novel unsupervised method for the detection of brain meta-states based on recurrence plots and community detection algorithms, previously tested on resting-state data, was used on auditory oddball task recordings. Brain meta-states and several properties related to their activation during target trials in the task were extracted from electroencephalography (EEG) data from patients with schizophrenia and cognitively healthy controls. MAIN RESULTS The methodology successfully detected meta-states during an auditory oddball task, and they appeared to show both frequency-dependent time-locked and non-time-locked activity with respect to the stimulus onset. Moreover, patients with schizophrenia displayed higher network diversity, and showed more sluggish meta-state transitions, reflected in increased dwell times, less complex meta-state sequences, decreased meta-state space speed, and abnormal ratio of negative meta-state correlations. SIGNIFICANCE Abnormal cognition in schizophrenia is also reflected in decreased brain flexibility at the dynamic network level, which may hamper top-down processing, possibly indicating impaired decision-making linked to dysfunctional predictive coding. Moreover, the results showed the ability of the methodology to find meaningful and task-relevant changes in dynamic connectivity and pathology-related group differences.
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Affiliation(s)
- Pablo Núñez
- Teoría de la señal y comunicaciones e ingeniería telemática, Universidad de Valladolid, E.T.S. Ingenieros de Telecomunicacion, Paseo de Belen 15, 47011 - Valladolid, Valladolid, 47002, SPAIN
| | - Carlos Gomez
- Grupo de Ingeniería Biomédica, Universidad de Valladolid, E. T. S. Ingenieros de Telecomunicación, Universidad de Valladolid, Paseo Belén, 15, Valladolid, Valladolid, 47011, SPAIN
| | - Víctor Rodríguez-González
- Teoría de la señal y comunicaciones e ingeniería telemática, Universidad de Valladolid, E.T.S. Ingenieros de Telecomunicacion, Paseo de Belen 15, 47011 - Valladolid, Valladolid, 47011, SPAIN
| | - Arjan Hillebrand
- Department of Clinical Neurophysiology and MEG Centre, VU University Medical Centre, VU University Medical Centre, 1081 HV Amsterdam, Netherlands, Amsterdam, 1081 HV, NETHERLANDS
| | - Prejaas Tewarie
- Department of Clinical Neurophysiology and MEG Centre, VU University Medical Centre Amsterdam, VU University Medical Centre, 1081 HV Amsterdam, Netherlands, Amsterdam, Noord-Holland, 1081 HV, NETHERLANDS
| | - Javier Gomez-Pilar
- Communications and Signal Theory, Universidad de Valladolid, E.T.S. Ingenieros de Telecomunicacion, Paseo de Belen 15, 47011 - Valladolid, Valladolid, Valladolid, 47011, SPAIN
| | - Vicente Molina
- Universidad de Valladolid, School of Medicine, University of Valladolid, 47005 - Valladolid, Valladolid, 47002, SPAIN
| | - Roberto Hornero
- Biomedical Engineering Group, Universidad de Valladolid, ETSI Telecomunicacion, Paseo Belen 15, Valladolid, 47011, SPAIN
| | - Jesus Poza
- Communications and Signal Theory, University of Valladolid, E.T.S. Ingenieros de Telecomunicacion, Paseo de Belen 15, 47011 - Valladolid, Valladolid, 47002, SPAIN
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24
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Wang LL, Lui SSY, Chan RCK. The past and future of mapping the biomarkers of psychosis. Curr Opin Behav Sci 2022. [DOI: 10.1016/j.cobeha.2021.06.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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25
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Purcell JR, Herms EN, Morales J, Hetrick WP, Wisner KM, Brown JW. A review of risky decision-making in psychosis-spectrum disorders. Clin Psychol Rev 2022; 91:102112. [PMID: 34990988 PMCID: PMC8754677 DOI: 10.1016/j.cpr.2021.102112] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 10/29/2021] [Accepted: 12/16/2021] [Indexed: 02/03/2023]
Abstract
The investigation of risky decision-making has a prominent place in clinical science, with sundry behavioral tasks aimed at empirically quantifying the psychological construct of risk-taking. However, use of differing behavioral tasks has resulted in lack of agreement on risky decision-making within psychosis-spectrum disorders, as findings fail to converge upon the typical, binary conceptualization of increased risk-seeking or risk-aversion. The current review synthesizes the behavioral, risky decision-making literature to elucidate how specific task parameters may contribute to differences in task performance, and their associations with psychosis symptomatology and cognitive functioning. A paring of the literature suggests that: 1) Explicit risk-taking may be characterized by risk imperception, evidenced by less discrimination between choices of varying degrees of risk, potentially secondary to cognitive deficits. 2) Ambiguous risk-taking findings are inconclusive with few published studies. 3) Uncertain risk-taking findings, consistently interpreted as more risk-averse, have not parsed risk attitudes from confounding processes that may impact decision-making (e.g. risk imperception, reward processing, motivation). Thus, overgeneralized interpretations of task-specific risk-seeking/aversion should be curtailed, as they may fail to appropriately characterize decision-making phenomena. Future research in psychosis-spectrum disorders would benefit from empirically isolating contributions of specific processes during risky decision-making, including the newly hypothesized risk imperception.
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Affiliation(s)
- John R Purcell
- Indiana University, Department of Psychological & Brain Sciences, USA; Indiana University, Program in Neuroscience, USA.
| | - Emma N Herms
- Indiana University, Department of Psychological & Brain Sciences, USA
| | - Jaime Morales
- Indiana University, Department of Psychological & Brain Sciences, USA; Indiana University, Program in Neuroscience, USA
| | - William P Hetrick
- Indiana University, Department of Psychological & Brain Sciences, USA; Indiana University, Program in Neuroscience, USA
| | - Krista M Wisner
- Indiana University, Department of Psychological & Brain Sciences, USA; Indiana University, Program in Neuroscience, USA
| | - Joshua W Brown
- Indiana University, Department of Psychological & Brain Sciences, USA; Indiana University, Program in Neuroscience, USA
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26
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Briley PM, Liddle EB, Simmonite M, Jansen M, White TP, Balain V, Palaniyappan L, Bowtell R, Mullinger KJ, Liddle PF. Regional Brain Correlates of Beta Bursts in Health and Psychosis: A Concurrent Electroencephalography and Functional Magnetic Resonance Imaging Study. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:1145-1156. [PMID: 33495122 PMCID: PMC8648891 DOI: 10.1016/j.bpsc.2020.10.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/12/2020] [Accepted: 10/22/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND There is emerging evidence for abnormal beta oscillations in psychosis. Beta oscillations are likely to play a key role in the coordination of sensorimotor information that is crucial to healthy mental function. Growing evidence suggests that beta oscillations typically manifest as transient beta bursts that increase in probability following a motor response, observable as post-movement beta rebound. Evidence indicates that post-movement beta rebound is attenuated in psychosis, with greater attenuation associated with greater symptom severity and impairment. Delineating the functional role of beta bursts therefore may be key to understanding the mechanisms underlying persistent psychotic illness. METHODS We used concurrent electroencephalography and functional magnetic resonance imaging to identify blood oxygen level-dependent correlates of beta bursts during the n-back working memory task and intervening rest periods in healthy control participants (n = 30) and patients with psychosis (n = 48). RESULTS During both task blocks and intervening rest periods, beta bursts phasically activated regions implicated in task-relevant content while suppressing currently tonically active regions. Patients showed attenuated post-movement beta rebound that was associated with persisting disorganization symptoms as well as impairments in cognition and role function. Patients also showed greater task-related reductions in overall beta burst rate and showed greater, more extensive, beta burst-related blood oxygen level-dependent activation. CONCLUSIONS Our evidence supports a model in which beta bursts reactivate latently maintained sensorimotor information and are dysregulated and inefficient in psychosis. We propose that abnormalities in the mechanisms by which beta bursts coordinate reactivation of contextually appropriate content can manifest as disorganization, working memory deficits, and inaccurate forward models and may underlie a core deficit associated with persisting symptoms and impairment.
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Affiliation(s)
- Paul M Briley
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom; Nottinghamshire Healthcare NHS Foundation Trust, Mapperley, Nottingham, United Kingdom
| | - Elizabeth B Liddle
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Molly Simmonite
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Marije Jansen
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Thomas P White
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Vijender Balain
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom; Burnaby Centre for Mental Health and Addictions, Burnaby, British Columbia, Canada
| | - Lena Palaniyappan
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom; Department of Psychiatry, University of Western Ontario, London, Ontario, Canada; Robarts Research Institute, University of Western Ontario, London, Ontario, Canada; Lawson Health Research Institute, London, Ontario, Canada
| | - Richard Bowtell
- Sir Peter Mansfield Imaging Centre, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Karen J Mullinger
- Sir Peter Mansfield Imaging Centre, University of Nottingham, University Park, Nottingham, United Kingdom; School of Psychology, University of Birmingham, Edgbaston, Birmingham, United Kingdom
| | - Peter F Liddle
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, University Park, Nottingham, United Kingdom.
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27
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Becske M, Marosi C, Molnár H, Fodor Z, Tombor L, Csukly G. Distractor filtering and its electrophysiological correlates in schizophrenia. Clin Neurophysiol 2021; 133:71-82. [PMID: 34814018 DOI: 10.1016/j.clinph.2021.10.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 09/07/2021] [Accepted: 10/09/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE Patients with schizophrenia are characterized by compromised working memory (WM) performance and increased distractibility. Theta synchronization (especially over the frontal midline areas) is related to cognitive control and executive processes during WM encoding and retention. Alpha event-related desynchronization (ERD) is associated with information processing and attention. METHODS Participants (35 patients and 39 matched controls) performed a modified Sternberg WM task, containing salient and non-salient distractor items in the retention period. A high-density 128 channel EEG was recorded during the task. Theta (4-7 Hz) and fast alpha (10-13 Hz) event-related spectral perturbation (ERSP) were analyzed during the retention and encoding period. RESULTS Patients with schizophrenia showed worse WM performance and increased attentional distractibility in terms of lower hit rates and increased distractor-related commission errors compared to healthy controls. Theta synchronization was modulated by condition (learning vs. distractor) in both groups but it was modulated by salience only in controls. Furthermore, salience of distractors modulated less the fast alpha ERD in patients. CONCLUSIONS Our results suggest that patients with schizophrenia process salient and non-salient distracting information less efficiently and show weaker cognitive control compared to controls. SIGNIFICANCE These differences may partly account for diminished WM performance and increased distractibility in schizophrenia.
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Affiliation(s)
- Melinda Becske
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Csilla Marosi
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Hajnalka Molnár
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Zsuzsanna Fodor
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - László Tombor
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | - Gábor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.
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28
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Tarasi L, Trajkovic J, Diciotti S, di Pellegrino G, Ferri F, Ursino M, Romei V. Predictive waves in the autism-schizophrenia continuum: A novel biobehavioral model. Neurosci Biobehav Rev 2021; 132:1-22. [PMID: 34774901 DOI: 10.1016/j.neubiorev.2021.11.006] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 10/29/2021] [Accepted: 11/07/2021] [Indexed: 12/14/2022]
Abstract
The brain is a predictive machine. Converging data suggests a diametric predictive strategy from autism spectrum disorders (ASD) to schizophrenic spectrum disorders (SSD). Whereas perceptual inference in ASD is rigidly shaped by incoming sensory information, the SSD population is prone to overestimate the precision of their priors' models. Growing evidence considers brain oscillations pivotal biomarkers to understand how top-down predictions integrate bottom-up input. Starting from the conceptualization of ASD and SSD as oscillopathies, we introduce an integrated perspective that ascribes the maladjustments of the predictive mechanism to dysregulation of neural synchronization. According to this proposal, disturbances in the oscillatory profile do not allow the appropriate trade-off between descending predictive signal, overweighted in SSD, and ascending prediction errors, overweighted in ASD. These opposing imbalances both result in an ill-adapted reaction to external challenges. This approach offers a neuro-computational model capable of linking predictive coding theories with electrophysiological findings, aiming to increase knowledge on the neuronal foundations of the two spectra features and stimulate hypothesis-driven rehabilitation/research perspectives.
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Affiliation(s)
- Luca Tarasi
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, 47521 Cesena, Italy.
| | - Jelena Trajkovic
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, 47521 Cesena, Italy
| | - Stefano Diciotti
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy; Alma Mater Research Institute for Human-Centered Artificial Intelligence, University of Bologna, Bologna, Italy
| | - Giuseppe di Pellegrino
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, 47521 Cesena, Italy
| | - Francesca Ferri
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, Italy
| | - Mauro Ursino
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy
| | - Vincenzo Romei
- Centro Studi e Ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Campus di Cesena, 47521 Cesena, Italy; IRCCS Fondazione Santa Lucia, 00179 Rome, Italy.
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29
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Kornmeier J, Bhatia K, Joos E. Top-down resolution of visual ambiguity - knowledge from the future or footprints from the past? PLoS One 2021; 16:e0258667. [PMID: 34673791 PMCID: PMC8530352 DOI: 10.1371/journal.pone.0258667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 10/01/2021] [Indexed: 11/18/2022] Open
Abstract
Current theories about visual perception assume that our perceptual system weights the a priori incomplete, noisy and ambiguous sensory information with previous, memorized perceptual experiences in order to construct stable and reliable percepts. These theories are supported by numerous experimental findings. Theories about precognition have an opposite point of view. They assume that information from the future can have influence on perception, thoughts, and behavior. Several experimental studies provide evidence for precognition effects, other studies found no such effects. One problem may be that the vast majority of precognition paradigms did not systematically control for potential effects from the perceptual history. In the present study, we presented ambiguous Necker cube stimuli and disambiguated cube variants and systematically tested in two separate experiments whether perception of a currently observed ambiguous Necker cube stimulus can be influenced by a disambiguated cube variant, presented in the immediate perceptual past (perceptual history effects) and/or in the immediate perceptual future (precognition effects). We found perceptual history effects, which partly depended on the length of the perceptual history trace but were independent of the perceptual future. Results from some individual participants suggest on the first glance a precognition pattern, but results from our second experiment make a perceptual history explanation more probable. On the group level, no precognition effects were statistically indicated. The perceptual history effects found in the present study are in confirmation with related studies from the literature. The precognition analysis revealed some interesting individual patterns, which however did not allow for general conclusions. Overall, the present study demonstrates that any future experiment about sensory or extrasensory perception urgently needs to control for potential perceptual history effects and that temporal aspects of stimulus presentation are of high relevance.
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Affiliation(s)
- Jürgen Kornmeier
- Institute for Frontier Areas of Psychology and Mental Health, Freiburg, Germany
- Department of Psychiatry and Psychotherapy, Medical Center, University of Freiburg, Freiburg, Germany
- Faculty of Medicine, Freiburg, Germany
| | - Kriti Bhatia
- Experimental Cognitive Science, Eberhard Karls University Tübingen, Tübingen, Germany
| | - Ellen Joos
- INSERM U1114, Cognitive Neuropsychology and Pathophysiology of Schizophrenia, University of Strasbourg, Strasbourg, France
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30
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Xu M, Lee WK, Ko CH, Chiu YC, Lin CH. The Prominent Deck B Phenomenon in Schizophrenia: An Empirical Study on Iowa Gambling Task. Front Psychol 2021; 12:619855. [PMID: 34539474 PMCID: PMC8446202 DOI: 10.3389/fpsyg.2021.619855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 05/21/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The Iowa Gambling Task (IGT) was established to evaluate emotion-based decision-making ability under uncertain circumstances in clinical populations, including schizophrenia (Sz). However, there remains a lack of stable behavioral measures regarding discrimination for decision-making performance in IGT between schizophrenic cases and healthy participants. None of the Sz-IGT studies has specifically verified the prominent deck B (PDB) phenomenon gradually revealed in other populations. Here, we provided a global review and empirical study to verify these Sz-IGT issues. Methods: Seeking reliable and valid behavioral measures, we reviewed 38 studies using IGT to investigate decision-making behavior in Sz groups. The IGT, the Wisconsin Card Sorting Test (WCST), and clinical symptoms evaluations were administered to 61 schizophrenia or schizoaffective cases diagnosed by psychiatrists and 62 demographically matched healthy participants. Results: There were no valid behavioral measures in IGT that could significantly identify the decision-making dysfunction of Sz. However, Sz cases, on average, made more choices from disadvantageous deck B relative to other decks, particularly in the later learning process (block 3-5). Compared to the control group, the Sz group was more impaired on the WCST. The high-gain frequency decks B and D showed significant correlations with WCST but no correlation between clinical symptoms and IGT/WCST. Conclusions: Gain-loss frequency (GLF) has a dominant and stable impact on the decision-making process in both Sz and control groups. PDB phenomenon is essentially challenging to be observed on the ground of the expected value (EV) viewpoint approach on the IGT in both populations. Consequently, caution should be exercised when launching the IGT to assess the decision-making ability of Sz under a clinical scenario.
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Affiliation(s)
- Mei Xu
- Department of Psychology, Kaohsiung Medical University, Kaohsiung, Taiwan.,School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - We-Kang Lee
- Sleep Center, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.,Department of Psychology, Soochow University, Taipei, Taiwan
| | - Chih-Hung Ko
- Department of Psychiatry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Psychiatry, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Taiwan.,College of Medicine, Graduate Institute of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yao-Chu Chiu
- Department of Psychology, Soochow University, Taipei, Taiwan
| | - Ching-Hung Lin
- Department of Psychology, Kaohsiung Medical University, Kaohsiung, Taiwan.,Research Center for Non-linear Analysis and Optimization, Kaohsiung Medical University, Kaohsiung, Taiwan
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Ozawa T, Itokazu T, Ichitani Y, Yamada K. Pharmacologically induced N-methyl-D-aspartate receptor hypofunction impairs goal-directed food seeking in rats. Neuropsychopharmacol Rep 2021; 41:526-531. [PMID: 34542935 PMCID: PMC8698676 DOI: 10.1002/npr2.12209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/02/2021] [Accepted: 09/07/2021] [Indexed: 11/06/2022] Open
Abstract
AIM Acute N-methyl-D-aspartate (NMDA) receptor antagonism is an important pharmacological animal model of schizophrenia. In previous studies, schizophrenia patients show impaired goal-directed behavior in an outcome-specific devaluation procedure. In this study, we investigated whether the rat model of the NMDA receptor blockade also showed altered goal-directed behavior in a satiety-induced outcome devaluation paradigm. METHODS In experiments 1 and 2, we aimed to establish the satiety-induced outcome devaluation test using sucrose and lipid rewards in operant conditioning and free consumption paradigms. In experiment 3, we tested the effect of MK-801 (0.1 mg/kg, i.p.) on outcome-specific devaluation. RESULTS Experiments 1 and 2 demonstrated that 1-h ad libitum food consumption is sufficient to induce outcome-specific devaluation in both lever-press and free consumption tests in rats. Experiment 3 showed that the administration of MK-801 impaired satiety-induced devaluation in the lever-press test but not in the subsequent free consumption test. CONCLUSIONS Our results suggest that acute pharmacological NMDA receptor antagonism in rats is a useful animal model for impaired goal-directed behavior in schizophrenia.
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Affiliation(s)
- Takaaki Ozawa
- Institute of Psychology and Behavioral Neuroscience, University of Tsukuba, Tsukuba, Japan.,Institute for Protein Research, Osaka University, Suita, Japan
| | - Tatsumi Itokazu
- Institute of Psychology and Behavioral Neuroscience, University of Tsukuba, Tsukuba, Japan
| | - Yukio Ichitani
- Institute of Psychology and Behavioral Neuroscience, University of Tsukuba, Tsukuba, Japan.,Faculty of Applied Psychology, Tokyo Seitoku University, Kita, Japan
| | - Kazuo Yamada
- Institute of Psychology and Behavioral Neuroscience, University of Tsukuba, Tsukuba, Japan
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32
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Litwin P, Miłkowski M. Unification by Fiat: Arrested Development of Predictive Processing. Cogn Sci 2021; 44:e12867. [PMID: 32594580 PMCID: PMC7378938 DOI: 10.1111/cogs.12867] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 04/25/2020] [Accepted: 05/15/2020] [Indexed: 01/24/2023]
Abstract
Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains only loosely connected both to its computational framework and to its hypothetical biological underpinnings, which makes its fundamentals unclear. Instead of offering explanations that refer to the same set of principles, we observe systematic equivocations in PP‐based models, or outright contradictions with its avowed principles. To make matters worse, PP‐based models are seldom empirically validated, and they are frequently offered as mere just‐so stories. The large number of PP‐based models is thus not evidence of theoretical progress in unifying perception, action, and cognition. On the contrary, we maintain that the gap between theory and its biological and computational bases contributes to the arrested development of PP as a unificatory theory. Thus, we urge the defenders of PP to focus on its critical problems instead of offering mere re‐descriptions of known phenomena, and to validate their models against possible alternative explanations that stem from different theoretical assumptions. Otherwise, PP will ultimately fail as a unified theory of cognition.
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Affiliation(s)
- Piotr Litwin
- Faculty of Psychology, University of Warsaw.,Institute of Philosophy and Sociology, Polish Academy of Sciences
| | - Marcin Miłkowski
- Institute of Philosophy and Sociology, Polish Academy of Sciences
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33
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Rungratsameetaweemana N. Understanding Motor Abnormalities in Psychiatric Disorders as Altered Sensorimotor Processing. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2021; 1:85-86. [PMID: 36324990 PMCID: PMC9616302 DOI: 10.1016/j.bpsgos.2021.06.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 06/18/2021] [Indexed: 12/31/2022] Open
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Associations between long-term psychosis risk, probabilistic category learning, and attenuated psychotic symptoms with cortical surface morphometry. Brain Imaging Behav 2021; 16:91-106. [PMID: 34218406 DOI: 10.1007/s11682-021-00479-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2021] [Indexed: 10/20/2022]
Abstract
Neuroimaging studies have consistently found structural cortical abnormalities in individuals with schizophrenia, especially in structural hubs. However, it is unclear what abnormalities predate psychosis onset and whether abnormalities are related to behavioral performance and symptoms associated with psychosis risk. Using surface-based morphometry, we examined cortical volume, gyrification, and thickness in a psychosis risk group at long-term risk for developing a psychotic disorder (n = 18; i.e., extreme positive schizotypy plus interview-rated attenuated psychotic symptoms [APS]) and control group (n = 19). Overall, the psychosis risk group exhibited cortical abnormalities in multiple structural hub regions, with abnormalities associated with poorer probabilistic category learning, a behavioral measure strongly associated with psychosis risk. For instance, the psychosis risk group had hypogyria in a right posterior midcingulate cortical hub and left superior parietal cortical hub, as well as decreased volume in a right pericalcarine hub. Morphometric measures in all of these regions were also associated with poorer probabilistic category learning. In addition to decreased right pericalcarine volume, the psychosis risk group exhibited a number of other structural abnormalities in visual network structural hub regions, consistent with previous evidence of visual perception deficits in psychosis risk. Further, severity of APS hallucinations, delusional ideation, and suspiciousness/persecutory ideas were associated with gyrification abnormalities, with all domains associated with hypogyria of the right lateral orbitofrontal cortex. Thus, current results suggest that structural abnormalities, especially in structural hubs, are present in psychosis risk and are associated both with poor learning on a psychosis risk-related task and with APS severity.
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35
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Möller TJ, Georgie YK, Schillaci G, Voss M, Hafner VV, Kaltwasser L. Computational models of the "active self" and its disturbances in schizophrenia. Conscious Cogn 2021; 93:103155. [PMID: 34130210 DOI: 10.1016/j.concog.2021.103155] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 05/14/2021] [Accepted: 05/20/2021] [Indexed: 11/16/2022]
Abstract
The notion that self-disorders are at the root of the emergence of schizophrenia rather than a symptom of the disease, is getting more traction in the cognitive sciences. This is in line with philosophical approaches that consider an enactive self, constituted through action and interaction with the environment. We thereby analyze different definitions of the self and evaluate various computational theories lending to these ideas. Bayesian and predictive processing are promising approaches for computational modeling of the "active self". We evaluate their implementation and challenges in computational psychiatry and cognitive developmental robotics. We describe how and why embodied robotic systems provide a valuable tool in psychiatry to assess, validate, and simulate mechanisms of self-disorders. Specifically, mechanisms involving sensorimotor learning, prediction, and self-other distinction, can be assessed with artificial agents. This link can provide essential insights to the formation of the self and new avenues in the treatment of psychiatric disorders.
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Affiliation(s)
- Tim Julian Möller
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany; Department of Psychiatry and Psychotherapy, Charité University Medicine, Berlin, Germany.
| | - Yasmin Kim Georgie
- Department of Computer Science, Humboldt-Universität zu Berlin, Germany.
| | - Guido Schillaci
- The BioRobotics Institute and Dept. of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy.
| | - Martin Voss
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany; Department of Psychiatry and Psychotherapy, Charité University Medicine and St. Hedwig Hospital, Berlin, Germany.
| | | | - Laura Kaltwasser
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany; Department of Psychiatry and Psychotherapy, Charité University Medicine, Berlin, Germany.
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36
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Habiby Alaoui S, Adam-Darqué A, Ptak R, Schnider A. Distinct outcome processing in deterministic and probabilistic reversal learning. Cortex 2021; 141:224-239. [PMID: 34098424 DOI: 10.1016/j.cortex.2021.04.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 12/23/2020] [Accepted: 04/21/2021] [Indexed: 11/18/2022]
Abstract
Anticipations that fail to happen are important drivers of behavioral adaptation. Their processing appears to depend on the context. In a deterministic environment, where a stimulus unequivocally predicts the outcome, processing of absent outcomes involves the posterior orbitofrontal cortex (OFC). Failure has been linked to reality confusion with confabulations and disorientation. In a probabilistic environment, absent outcomes appear to be processed by the anterior cingulate cortex (ACC) rather than the OFC. Failure has been associated with poor decision making and schizophrenia. These data suggest different mechanisms depending on the context. Here, healthy human subjects made two formally similar reversal learning tasks, but one with deterministic, the other with probabilistic instructions. Brain activity was monitored using high-density electroencephalography. We found that in the deterministic task, negative outcomes, which unequivocally call for a behavioral switch, induced a distinct frontal potential at 200-300 msec. Computational modeling indicated a strong association of evoked potentials with prediction error, surprise, and behavioral adaptation. In the probabilistic task, where behavioral adaptation follows the cumulated processing of outcomes, negative outcomes evoked potentials that were associated with prediction error and surprise, but had a weak link with subsequent behavior. Outcome processing in the probabilistic task induced stronger activation than the deterministic task of an extended network including the ACC, OFC and striatum at 300-400 msec. In both tasks, negative outcomes were processed differently from positive outcomes at 400-600 msec, possibly reflecting updating of the outcome record. We conclude that the brain disposes of at least two distinct systems processing outcomes with unequivocal or ambiguous behavioral significance. These systems differ along behavioral, clinical, electrophysiological and anatomical dimensions.
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Affiliation(s)
- Selim Habiby Alaoui
- Laboratory of Cognitive Neurorehabilitation, Division of Neurorehabilitation, Department of Clinical Neurosciences, University of Geneva, Switzerland
| | - Alexandra Adam-Darqué
- Laboratory of Cognitive Neurorehabilitation, Division of Neurorehabilitation, Department of Clinical Neurosciences, University of Geneva, Switzerland
| | - Radek Ptak
- Laboratory of Cognitive Neurorehabilitation, Division of Neurorehabilitation, Department of Clinical Neurosciences, University of Geneva, Switzerland; Division of Neurorehabilitation, Department of Clinical Neurosciences, University Hospital of Geneva, Switzerland
| | - Armin Schnider
- Laboratory of Cognitive Neurorehabilitation, Division of Neurorehabilitation, Department of Clinical Neurosciences, University of Geneva, Switzerland; Division of Neurorehabilitation, Department of Clinical Neurosciences, University Hospital of Geneva, Switzerland.
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37
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Piras F, Vecchio D, Kurth F, Piras F, Banaj N, Ciullo V, Luders E, Spalletta G. Corpus callosum morphology in major mental disorders: a magnetic resonance imaging study. Brain Commun 2021; 3:fcab100. [PMID: 34095833 PMCID: PMC8172496 DOI: 10.1093/braincomms/fcab100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Revised: 03/02/2021] [Accepted: 03/16/2021] [Indexed: 11/14/2022] Open
Abstract
Mental disorders diagnosis is based on specific clinical criteria. However, clinical studies found similarities and overlapping phenomenology across a variety of disorders, which suggests a common neurobiological substrate. Thus, there is a need to measure disease-related neuroanatomical similarities and differences across conditions. While structural alterations of the corpus callosum have been investigated in obsessive-compulsive disorder, schizophrenia, major depressive disorder and bipolar disorder, no study has addressed callosal aberrations in all diseases in a single study. Moreover, results from pairwise comparisons (patients vs. controls) show some inconsistencies, possibly related to the parcellation methods to divide the corpus callosum into subregions. The main aim of the present paper was to uncover highly localized callosal characteristics for each condition (i.e. obsessive-compulsive disorder, schizophrenia, major depressive disorder and bipolar disorder) as compared either to healthy control subjects or to each other. For this purpose, we did not rely on any sub-callosal parcellation method, but applied a well-validated approach measuring callosal thickness at 100 equidistant locations along the whole midline of the corpus callosum. One hundred and twenty patients (30 in each disorder) as well as 30 controls were recruited for the study. All groups were closely matched for age and gender, and the analyses were performed controlling for the impact of antipsychotic treatment and illness duration. There was a significant main effect of group along the whole callosal surface. Pairwise post hoc comparisons revealed that, compared to controls, patients with obsessive-compulsive disorder had the thinnest corpora callosa with significant effects almost on the entire callosal structure. Patients with schizophrenia also showed thinner corpora callosa than controls but effects were confined to the isthmus and the anterior part of the splenium. No significant differences were found in both major depressive disorder and bipolar disorder patients compared to controls. When comparing the disease groups to each other, the corpus callosum was thinner in obsessive-compulsive disorder patients than in any other group. The effect was evident across the entire corpus callosum, with the exception of the posterior body. Altogether, our study suggests that the corpus callosum is highly changed in obsessive-compulsive disorder, selectively changed in schizophrenia and not changed in bipolar disorder and major depressive disorder. These results shed light on callosal similarities and differences among mental disorders providing valuable insights regarding the involvement of the major brain commissural fibre tract in the pathophysiology of each specific mental illness.
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Affiliation(s)
- Fabrizio Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
| | - Daniela Vecchio
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
| | - Florian Kurth
- School of Psychology, University of Auckland, Auckland, Private Bag 92019, New Zealand
| | - Federica Piras
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
| | - Valentina Ciullo
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy
| | - Eileen Luders
- School of Psychology, University of Auckland, Auckland, Private Bag 92019, New Zealand.,Laboratory of Neuro Imaging, School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.,Menninger Department of Psychiatry and Behavioral Sciences, Division of Neuropsychiatry, Baylor College of Medicine, Houston, TX 77030, USA
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38
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Colombo M, Fabry RE. Underlying delusion: Predictive processing, looping effects, and the personal/sub-personal distinction. PHILOSOPHICAL PSYCHOLOGY 2021. [DOI: 10.1080/09515089.2021.1914828] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Matteo Colombo
- Tilburg Center for Logic, Ethics and Philosophy of Science, Tilburg University, Tilburg, Netherlands
| | - Regina E. Fabry
- Department of Philosophy II, Ruhr University Bochum, Bochum, Germany
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39
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Born RT, Bencomo GM. Illusions, Delusions, and Your Backwards Bayesian Brain: A Biased Visual Perspective. BRAIN, BEHAVIOR AND EVOLUTION 2021; 95:272-285. [PMID: 33784667 PMCID: PMC8238803 DOI: 10.1159/000514859] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 01/27/2021] [Indexed: 12/29/2022]
Abstract
The retinal image is insufficient for determining what is "out there," because many different real-world geometries could produce any given retinal image. Thus, the visual system must infer which external cause is most likely, given both the sensory data and prior knowledge that is either innate or learned via interactions with the environment. We will describe a general framework of "hierarchical Bayesian inference" that we and others have used to explore the role of cortico-cortical feedback in the visual system, and we will further argue that this approach to "seeing" makes our visual systems prone to perceptual errors in a variety of different ways. In this deliberately provocative and biased perspective, we argue that the neuromodulator, dopamine, may be a crucial link between neural circuits performing Bayesian inference and the perceptual idiosyncrasies of people with schizophrenia.
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Affiliation(s)
- Richard T Born
- Department of Neurobiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Gianluca M Bencomo
- Department of Computer Science, Whittier College, Whittier, California, USA
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40
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Tabas A, von Kriegstein K. Adjudicating Between Local and Global Architectures of Predictive Processing in the Subcortical Auditory Pathway. Front Neural Circuits 2021; 15:644743. [PMID: 33776657 PMCID: PMC7994860 DOI: 10.3389/fncir.2021.644743] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 02/16/2021] [Indexed: 11/13/2022] Open
Abstract
Predictive processing, a leading theoretical framework for sensory processing, suggests that the brain constantly generates predictions on the sensory world and that perception emerges from the comparison between these predictions and the actual sensory input. This requires two distinct neural elements: generative units, which encode the model of the sensory world; and prediction error units, which compare these predictions against the sensory input. Although predictive processing is generally portrayed as a theory of cerebral cortex function, animal and human studies over the last decade have robustly shown the ubiquitous presence of prediction error responses in several nuclei of the auditory, somatosensory, and visual subcortical pathways. In the auditory modality, prediction error is typically elicited using so-called oddball paradigms, where sequences of repeated pure tones with the same pitch are at unpredictable intervals substituted by a tone of deviant frequency. Repeated sounds become predictable promptly and elicit decreasing prediction error; deviant tones break these predictions and elicit large prediction errors. The simplicity of the rules inducing predictability make oddball paradigms agnostic about the origin of the predictions. Here, we introduce two possible models of the organizational topology of the predictive processing auditory network: (1) the global view, that assumes that predictions on the sensory input are generated at high-order levels of the cerebral cortex and transmitted in a cascade of generative models to the subcortical sensory pathways; and (2) the local view, that assumes that independent local models, computed using local information, are used to perform predictions at each processing stage. In the global view information encoding is optimized globally but biases sensory representations along the entire brain according to the subjective views of the observer. The local view results in a diminished coding efficiency, but guarantees in return a robust encoding of the features of sensory input at each processing stage. Although most experimental results to-date are ambiguous in this respect, recent evidence favors the global model.
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Affiliation(s)
- Alejandro Tabas
- Chair of Cognitive and Clinical Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.,Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Katharina von Kriegstein
- Chair of Cognitive and Clinical Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.,Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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41
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Aberrant Cortical Connectivity During Ambiguous Object Recognition Is Associated With Schizophrenia. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 6:1193-1201. [PMID: 33359154 DOI: 10.1016/j.bpsc.2020.09.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 09/25/2020] [Accepted: 09/28/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND Dysfunctional connectivity within the perceptual hierarchy is proposed to be an integral component of psychosis. The fragmented ambiguous object task was implemented to investigate neural connectivity during object recognition in patients with schizophrenia (SCZ) and bipolar disorder and first-degree relatives of patients with SCZ (SREL). METHODS We analyzed 3T functional magnetic resonance imaging data collected from 27 patients with SCZ, 23 patients with bipolar disorder, 24 control subjects, and 19 SREL during the administration of the fragmented ambiguous object task. Fragmented ambiguous object task stimuli were line-segmented versions of objects and matched across a number of low-level features. Images were categorized as meaningful or meaningless based on ratings assigned by the participants. RESULTS An a priori region of interest was defined in the primary visual cortex (V1). In addition, the lateral occipital complex/ventral visual areas, intraparietal sulcus (IPS), and middle frontal gyrus (MFG) were identified functionally via the contrast of cortical responses to stimuli judged as meaningful or meaningless. SCZ was associated with altered neural activations at V1, IPS, and MFG. Psychophysiological interaction analyses revealed negative connectivity between V1 and MFG in patient groups and altered modulation of connectivity between conditions from right IPS to left IPS and right IPS to left MFG in patients with SCZ and SREL. CONCLUSIONS Results provide evidence that SCZ is associated with inefficient processing of ambiguous visual objects at V1, which is likely attributable to altered feedback from higher-level visual areas. We also observed distinct patterns of aberrant connectivity among low-level, mid-level, and high-level visual areas in patients with SCZ, patients with bipolar disorder, and SREL.
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Howes OD, Hird EJ, Adams RA, Corlett PR, McGuire P. Aberrant Salience, Information Processing, and Dopaminergic Signaling in People at Clinical High Risk for Psychosis. Biol Psychiatry 2020; 88:304-314. [PMID: 32430200 DOI: 10.1016/j.biopsych.2020.03.012] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 03/10/2020] [Accepted: 03/10/2020] [Indexed: 01/24/2023]
Abstract
The aberrant salience hypothesis proposes that striatal dopamine dysregulation causes misattribution of salience to irrelevant stimuli leading to psychosis. Recently, new lines of preclinical evidence on information coding by subcortical dopamine coupled with computational models of the brain's ability to predict and make inferences about the world (predictive processing) provide a new perspective on this hypothesis. We review these and summarize the evidence for dopamine dysfunction, reward processing, and salience abnormalities in people at clinical high risk of psychosis (CHR) relative to findings in patients with psychosis. This review identifies consistent evidence for dysregulated subcortical dopamine function in people at CHR, but also indicates a number of areas where neurobiological processes are different in CHR subjects relative to patients with psychosis, particularly in reward processing. We then consider how predictive processing models may explain psychotic symptoms in terms of alterations in prediction error and precision signaling using Bayesian approaches. We also review the potential role of environmental risk factors, particularly early adverse life experiences, in influencing the prior expectations that individuals have about their world in terms of computational models of the progression from being at CHR to frank psychosis. We identify a number of key outstanding questions, including the relative roles of prediction error or precision signaling in the development of symptoms and the mechanism underlying dopamine dysfunction. Finally, we discuss how the integration of computational psychiatry with biological investigation may inform the treatment for people at CHR of psychosis.
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Affiliation(s)
- Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; National Institute of Health Research Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust, London, United Kingdom; Medical Research Council London Institute of Medical Sciences, Hammersmith Hospital, London, United Kingdom; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom.
| | - Emily J Hird
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; National Institute of Health Research Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
| | - Rick A Adams
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom; Max Planck University College London Centre for Computational Psychiatry and Ageing Research, London, United Kingdom
| | - Philip R Corlett
- Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; National Institute of Health Research Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust, London, United Kingdom
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Abstract
Predictive processing models of psychopathologies are not explanatorily consistent with the present account of abstract thought. These models are based on latent variables probabilistically mapping the structure of the world. As such, they cannot be informed by representational ontology based on mental objects and states. What actually is the case is merely some terminological affinity between subjective and informational uncertainty.
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44
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Sutherland CAM, Rhodes G, Williams N, Connaughton E, Ewing L, Caruana N, Langdon R. Appearance-based trust processing in schizophrenia. BRITISH JOURNAL OF CLINICAL PSYCHOLOGY 2019; 59:139-153. [PMID: 31490567 DOI: 10.1111/bjc.12234] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Revised: 07/01/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVES Schizophrenia is characterized by impaired social interactions and altered trust. In the general population, trust is often based on facial appearance, with limited validity but enormous social consequences. The aim was to examine trust processing in schizophrenia and specifically to examine how people with schizophrenia use facial appearance as well as actual partner fairness to guide trusting decisions. DESIGN An experimental economic game study. METHODS Here, we tested how patients with schizophrenia and control participants (each N = 24) use facial trustworthiness appearance and partner fairness behaviour to guide decisions in a multi-round Trust Game. In the Trust Game, participants lent money to 'partners' whose facial appearance was either untrustworthy or trustworthy, and who either played fairly or unfairly. Clinical symptoms were measured as well as explicit trustworthiness impressions. RESULTS Overall, the patients with schizophrenia showed unimpaired explicit facial trustworthiness impressions and unimpaired facial appearance biases in the Trust Game. Crucially, patients and controls significantly differed so that the patients with schizophrenia did not learn to discriminate in the Trust Game based on actual partner fairness, unlike control participants. CONCLUSION A failure to discriminate trust has important implications for everyday functioning in schizophrenia, as forming accurate trustworthiness beliefs is an essential social skill. Critically, without relying on more valid trust cues, people with schizophrenia may be especially susceptible to the misleading effect of appearance when making trusting decisions. PRACTITIONER POINTS Findings People with schizophrenia made very similar facial trustworthiness impressions to healthy controls and also used facial appearance to guide trust decisions similarly to controls. However, the patient group were less able to explicitly distinguish between fair and unfair partners based on their behaviour compared with the control group. Moreover, people with schizophrenia failed to use actual partner fairness to guide their financial decisions in the Trust Game, unlike controls, and this impairment was specific to a social task. People with schizophrenia may be particularly reliant on facial appearance when trusting others, as they may struggle to incorporate more valid trustworthiness information in their decision-making, such as actual partner fairness.
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Affiliation(s)
- Clare A M Sutherland
- School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia.,School of Psychology, University of Aberdeen, Aberdeen, Scotland
| | - Gillian Rhodes
- School of Psychological Science, University of Western Australia, Crawley, Western Australia, Australia
| | - Nikolas Williams
- Department of Cognitive Science, Macquarie University, New South Wales, Australia
| | - Emily Connaughton
- Department of Cognitive Science, Macquarie University, New South Wales, Australia
| | - Louise Ewing
- School of Psychology, University of East Anglia, Norwich, UK
| | - Nathan Caruana
- Department of Cognitive Science, Macquarie University, New South Wales, Australia
| | - Robyn Langdon
- Department of Cognitive Science, Macquarie University, New South Wales, Australia
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45
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Vogel D, Beeker T, Haidl T, Kupke C, Heinze M, Vogeley K. Disturbed time experience during and after psychosis. Schizophr Res Cogn 2019; 17:100136. [PMID: 31193856 PMCID: PMC6543123 DOI: 10.1016/j.scog.2019.100136] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Revised: 03/06/2019] [Accepted: 03/08/2019] [Indexed: 02/04/2023]
Abstract
Disturbances in time experience have been argued to play a significant, if not causative role in the clinical presentation of schizophrenia. Phenomenological considerations suggest a fragmented or dis-articulated time experience causing both primary symptoms such as hallucinations, delusions, and self-disorders, as well as an intersubjective desynchronization. We employed content analysis on material collected from patients diagnosed with schizophrenia using the Time Questionnaire to generate hypotheses on possible disturbances of time experience in schizophrenia. As a key result we find evidence for the distinction between acute psychotic and post-psychotic syndromes. Acute psychosis is predominantly a disturbance of the passage of time, whereas the remission from psychosis is primarily defined by changes in the experience of the explicit structure of time integrating past, present, and future. We discuss our findings with regards to previous insights and observations on time experience and time perception. We suggest our findings hold significance for the diagnostic and therapeutic understanding of schizophrenia as well as for future integrative research on time experience in general.
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Affiliation(s)
- D.H.V. Vogel
- Research Center Jülich, Institute of Neuroscience and Medicine (INM3)
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry
| | - T. Beeker
- Brandenburg Medical School Theodor Fontane, Department of Psychiatry and Psychotherapy, Immanuel Klinik Rüdersdorf, Rüdersdorf bei Berlin, Germany
| | - T. Haidl
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry
| | - C. Kupke
- Department of Psychiatry, Society for Philosophy and Sciences of the Psyche, Charité, Humboldt-University Berlin, Germany
| | - M. Heinze
- Brandenburg Medical School Theodor Fontane, Department of Psychiatry and Psychotherapy, Immanuel Klinik Rüdersdorf, Rüdersdorf bei Berlin, Germany
| | - K. Vogeley
- Research Center Jülich, Institute of Neuroscience and Medicine (INM3)
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Psychiatry
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Rostalski SM, Amado C, Kovács G. Repetition Suppression for Noisy and Intact Faces in the Occipito-Temporal Cortex. Front Psychol 2019; 10:1348. [PMID: 31258501 PMCID: PMC6587110 DOI: 10.3389/fpsyg.2019.01348] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 05/23/2019] [Indexed: 11/13/2022] Open
Abstract
Repetition suppression (RS), the relative lower neural response magnitude to repeated as compared to non-repeated stimuli, is often explained within the predictive coding framework. According to this theory, precise predictions (priors) together with less precise sensory evidences lead to decisions that are determined largely by the predictions and the other way around. In other words, the prediction error, namely the magnitude of RS, should depend on the precision of predictions and sensory inputs. In the current study, we aimed at testing this idea by manipulating the clarity and thereby the precision of the incoming sensory data by adding noise to the images. This resulted in an fMRI adaptation design with repeated or alternating trials showing clear or noisy face stimuli. Our results show a noise effect on the activity in the fusiform face area (FFA), namely less activation for noisy than for clear trials, which supports previous findings. No such effects could be found in OFA or LO. Data also showed reliable RS in the FFA (bilateral) and unilaterally in OFA (right) and LO (left). Interestingly, the noise added to the stimuli did not affect the magnitude of RS in any of the tested cortical areas. This suggests that the clarity of the sensory input is not crucial in determining the magnitude of RS.
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Affiliation(s)
- Sophie-Marie Rostalski
- Department of Biological Psychology and Cognitive Neurosciences, Institute of Psychology, Friedrich Schiller University Jena, Jena, Germany
| | - Catarina Amado
- Department of Computer Science, Experimental Cognitive Science Research Group, Eberhard Karls Universität Tübingen, Tübingen, Germany
| | - Gyula Kovács
- Department of Biological Psychology and Cognitive Neurosciences, Institute of Psychology, Friedrich Schiller University Jena, Jena, Germany
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Ramsay IS. An Activation Likelihood Estimate Meta-analysis of Thalamocortical Dysconnectivity in Psychosis. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2019; 4:859-869. [PMID: 31202821 DOI: 10.1016/j.bpsc.2019.04.007] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 03/26/2019] [Accepted: 04/13/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND Thalamocortical dysconnectivity is hypothesized to underlie the pathophysiology of psychotic disorders, including schizophrenia and bipolar disorder, and individuals at clinical high risk. Numerous studies have examined connectivity networks seeding from the thalamus during rest, revealing a pattern of thalamo-fronto-cerebellar hypoconnectivity and thalamosensory hyperconnectivity. However, given variability in these networks, as well as their relationships with clinical and cognitive symptoms, thalamocortical connectivity's status as a biomarker and treatment target for psychotic disorders remains unclear. METHODS A literature search was performed to identify thalamic seed-based connectivity studies conducted in patients with psychotic disorders. Activation likelihood estimate analysis examined the reported coordinates for hypoconnectivity (healthy control participants > patients with psychosis) and hyperconnectivity (patients with psychosis > healthy control participants). The relationship between hypoconnectivity and hyperconnectivity, as well as their relationships with clinical and cognitive measures, was meta-analyzed. RESULTS Each activation likelihood estimate included 20 experiments (from 17 publications). Thalamocortical hypoconnectivity was observed in middle frontal, cingulate, and thalamic regions, while hyperconnectivity was observed in motor, somatosensory, temporal, occipital, and insular cortical regions. Meta-analysis of the studies reporting correlations between hypo- and hyperconnectivity showed a strong negative relationship. Meta-analysis of studies reporting correlations between hyperconnectivity and symptoms showed small but significant positive relationships. CONCLUSIONS Activation likelihood estimates of thalamocortical hypoconnectivity revealed a network of prefrontal and thalamic regions, while hyperconnections identified sensory areas. The strong negative relationship between these thalamocortical deflections suggests that they arrive from a common mechanism and may account for aspects of psychosis. These findings identify reliable thalamocortical networks that may guide future studies and serve as crucial treatment targets for psychotic disorders.
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Affiliation(s)
- Ian S Ramsay
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota.
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Dagher A, Lehéricy S, Rowe JB, Siebner HR. Disease-informed brain mapping teaches important lessons about the human brain. Neuroimage 2019; 190:1-3. [PMID: 30798013 DOI: 10.1016/j.neuroimage.2019.02.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
Affiliation(s)
- Alain Dagher
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.
| | - Stéphane Lehéricy
- Institut Du Cerveau et de La Moelle épinière, Centre for NeuroImaging Research, Team Movement Investigation and Therapeutics, Sorbonne Université, UPMC - Inserm U1127, CNRS UMR, 7225, Paris, France.
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, UK; Medical Research Council, Cognition and Brain Sciences Unit, Cambridge, UK; Behavioural and Clinical Neuroscience Institute, University of Cambridge, UK.
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance (DRCMR), Centre for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, University of Copenhagen, Denmark.
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Abstract
Making predictions and validating the predictions against actual sensory information is thought to be one of the most fundamental functions of the nervous system. A growing body of evidence shows that the neural mechanisms controlling behavior, both in motor and non-motor domains, rely on prediction errors, the discrepancy between predicted and actual information. The cerebellum has been viewed as a key component of the motor system providing predictions about upcoming movements and receiving feedback about motor errors. Consequentially, studies of cerebellar function have focused on the motor domain with less consideration for the wider context in which movements are generated. However, motor learning experiments show that cognition makes important contributions to motor adaptation that involves the cerebellum. One of the more successful theoretical frameworks for understanding motor control and cerebellar function is the forward internal model which states that the cerebellum predicts the sensory consequences of the motor commands and is involved in computing sensory prediction errors by comparing the predictions to the sensory feedback. The forward internal model was applied and tested mainly for effector movements, raising the question whether cerebellar encoding of behavior reflects task performance measures associated with cognitive involvement. Electrophysiological studies based on pseudo-random tracking in monkeys show that the discharge of Purkinje cell, the sole output neurons of the cerebellar cortex, encodes predictive and feedback signals not only of the effector kinematics but also of task performance. The implications are that the cerebellum implements both effector and task performance forward models and the latter are consistent with the cognitive contributions observed during motor learning. The implications of these findings include insights into recent psychophysical observations on moving with reduced feedback and motor learning. The findings also support the cerebellum's place in hierarchical generative models that work in concert to refine predictions about behavior and the world. Therefore, cerebellar representations bridge motor and non-motor domains and provide a better understanding of cerebellar function within the functional architecture of the brain.
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Affiliation(s)
| | - Timothy J. Ebner
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, United States
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