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Tan JB, Müller EJ, Orlando IF, Taylor NL, Margulies DS, Szeto J, Lewis SJG, Shine JM, O'Callaghan C. Abnormal higher-order network interactions in Parkinson's disease visual hallucinations. Brain 2024; 147:458-471. [PMID: 37677056 DOI: 10.1093/brain/awad305] [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: 04/11/2023] [Revised: 07/14/2023] [Accepted: 08/11/2023] [Indexed: 09/09/2023] Open
Abstract
Visual hallucinations in Parkinson's disease can be viewed from a systems-level perspective, whereby dysfunctional communication between brain networks responsible for perception predisposes a person to hallucinate. To this end, abnormal functional interactions between higher-order and primary sensory networks have been implicated in the pathophysiology of visual hallucinations in Parkinson's disease, however the precise signatures remain to be determined. Dimensionality reduction techniques offer a novel means for simplifying the interpretation of multidimensional brain imaging data, identifying hierarchical patterns in the data that are driven by both within- and between-functional network changes. Here, we applied two complementary non-linear dimensionality reduction techniques-diffusion-map embedding and t-distributed stochastic neighbour embedding (t-SNE)-to resting state functional MRI data, in order to characterize the altered functional hierarchy associated with susceptibility to visual hallucinations. Our study involved 77 people with Parkinson's disease (31 with hallucinations; 46 without hallucinations) and 19 age-matched healthy control subjects. In patients with visual hallucinations, we found compression of the unimodal-heteromodal gradient consistent with increased functional integration between sensory and higher order networks. This was mirrored in a traditional functional connectivity analysis, which showed increased connectivity between the visual and default mode networks in the hallucinating group. Together, these results suggest a route by which higher-order regions may have excessive influence over earlier sensory processes, as proposed by theoretical models of hallucinations across disorders. By contrast, the t-SNE analysis identified distinct alterations in prefrontal regions, suggesting an additional layer of complexity in the functional brain network abnormalities implicated in hallucinations, which was not apparent in traditional functional connectivity analyses. Together, the results confirm abnormal brain organization associated with the hallucinating phenotype in Parkinson's disease and highlight the utility of applying convergent dimensionality reduction techniques to investigate complex clinical symptoms. In addition, the patterns we describe in Parkinson's disease converge with those seen in other conditions, suggesting that reduced hierarchical differentiation across sensory-perceptual systems may be a common transdiagnostic vulnerability in neuropsychiatric disorders with perceptual disturbances.
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Affiliation(s)
- Joshua B Tan
- Brain and Mind Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia
| | - Eli J Müller
- Brain and Mind Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia
- Centre for Complex Systems, School of Physics, University of Sydney, Sydney 2050, Australia
| | - Isabella F Orlando
- Brain and Mind Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia
| | - Natasha L Taylor
- Brain and Mind Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia
| | - Daniel S Margulies
- Integrative Neuroscience and Cognition Center, Center National de la Recherche Scientifique (CNRS) and Université de Paris, 75006 Paris, France
| | - Jennifer Szeto
- Brain and Mind Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia
| | - Simon J G Lewis
- Brain and Mind Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia
| | - James M Shine
- Brain and Mind Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia
- Centre for Complex Systems, School of Physics, University of Sydney, Sydney 2050, Australia
| | - Claire O'Callaghan
- Brain and Mind Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney 2050, Australia
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Knolle F, Arumugham SS, Barker RA, Chee MWL, Justicia A, Kamble N, Lee J, Liu S, Lenka A, Lewis SJG, Murray GK, Pal PK, Saini J, Szeto J, Yadav R, Zhou JH, Koch K. A multicentre study on grey matter morphometric biomarkers for classifying early schizophrenia and parkinson's disease psychosis. NPJ Parkinsons Dis 2023; 9:87. [PMID: 37291143 DOI: 10.1038/s41531-023-00522-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 05/15/2023] [Indexed: 06/10/2023] Open
Abstract
Psychotic symptoms occur in a majority of schizophrenia patients and in ~50% of all Parkinson's disease (PD) patients. Altered grey matter (GM) structure within several brain areas and networks may contribute to their pathogenesis. Little is known, however, about transdiagnostic similarities when psychotic symptoms occur in different disorders, such as in schizophrenia and PD. The present study investigated a large, multicenter sample containing 722 participants: 146 patients with first episode psychosis, FEP; 106 individuals in at-risk mental state for developing psychosis, ARMS; 145 healthy controls matching FEP and ARMS, Con-Psy; 92 PD patients with psychotic symptoms, PDP; 145 PD patients without psychotic symptoms, PDN; 88 healthy controls matching PDN and PDP, Con-PD. We applied source-based morphometry in association with receiver operating curves (ROC) analyses to identify common GM structural covariance networks (SCN) and investigated their accuracy in identifying the different patient groups. We assessed group-specific homogeneity and variability across the different networks and potential associations with clinical symptoms. SCN-extracted GM values differed significantly between FEP and Con-Psy, PDP and Con-PD, PDN and Con-PD, as well as PDN and PDP, indicating significant overall grey matter reductions in PD and early schizophrenia. ROC analyses showed that SCN-based classification algorithms allow good classification (AUC ~0.80) of FEP and Con-Psy, and fair performance (AUC ~0.72) when differentiating PDP from Con-PD. Importantly, the best performance was found in partly the same networks, including the thalamus. Alterations within selected SCNs may be related to the presence of psychotic symptoms in both early schizophrenia and PD psychosis, indicating some commonality of underlying mechanisms. Furthermore, results provide evidence that GM volume within specific SCNs may serve as a biomarker for identifying FEP and PDP.
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Affiliation(s)
- Franziska Knolle
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.
- Department of Psychiatry, University of Cambridge, Cambridge, UK.
| | - Shyam S Arumugham
- Department of Psychiatry, National Institute of Mental Health & Neurosciences (NIMHANS), Bengaluru, India
| | - Roger A Barker
- Department of Clinical Neuroscience, University of Cambridge, Cambridge, UK
| | - Michael W L Chee
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Azucena Justicia
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- IMIM (Hospital del Mar Medical Research Institute), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Nitish Kamble
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bengaluru, India
| | - Jimmy Lee
- Research Division, Institute of Mental Health, Singapore, Singapore
- Department of Psychosis, Institute of Mental Health, Singapore, Singapore
- Neuroscience and Mental Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Siwei Liu
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Abhishek Lenka
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bengaluru, India
- Department of Neurology, Medstar Georgetown University School of Medicine, Washington, DC, USA
| | - Simon J G Lewis
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, Australia
| | - Graham K Murray
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bengaluru, India
| | - Jitender Saini
- Department of Neurology, National Institute of Mental Health & Neurosciences (NIMHANS), Bengaluru, India
| | - Jennifer Szeto
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, Australia
| | - Ravi Yadav
- Department of Psychiatry, National Institute of Mental Health & Neurosciences (NIMHANS), Bengaluru, India
| | - Juan H Zhou
- Centre for Sleep and Cognition, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Centre for Translational MR Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kathrin Koch
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.
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Bhome R, Thomas GEC, Zarkali A, Weil RS. Structural and Functional Imaging Correlates of Visual Hallucinations in Parkinson's Disease. Curr Neurol Neurosci Rep 2023; 23:287-299. [PMID: 37126201 PMCID: PMC10257588 DOI: 10.1007/s11910-023-01267-1] [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] [Accepted: 04/12/2023] [Indexed: 05/02/2023]
Abstract
PURPOSE OF REVIEW To review recent structural and functional MRI studies of visual hallucinations in Parkinson's disease. RECENT FINDINGS Previously, neuroimaging had shown inconsistent findings in patients with Parkinson's hallucinations, especially in studies examining grey matter volume. However, recent advances in structural and functional MRI techniques allow better estimates of structural connections, as well as the direction of connectivity in functional MRI. These provide more sensitive measures of changes in structural connectivity and allow models of the changes in directional functional connectivity to be tested. We identified 27 relevant studies and found that grey matter imaging continues to show heterogeneous findings in Parkinson's patients with visual hallucinations. Newer approaches in diffusion imaging and functional MRI are consistent with emerging models of Parkinson's hallucinations, suggesting shifts in attentional networks. In particular, reduced bottom-up, incoming sensory information, and over-weighting of top-down signals appear to be important drivers of visual hallucinations in Parkinson's disease.
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Affiliation(s)
- Rohan Bhome
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK.
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
| | | | - Angeliki Zarkali
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Rimona Sharon Weil
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N 3AR, UK
- Movement Disorders Centre, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3AR, UK
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Zanello A, Mutanda D, Sentissi O, Hayward M. Coping Strategy Enhancement for Auditory Verbal Hallucinations Within Routine Clinical Practice. J Nerv Ment Dis 2023; 211:79-82. [PMID: 36596290 DOI: 10.1097/nmd.0000000000001589] [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] [Indexed: 01/05/2023]
Abstract
ABSTRACT Auditory verbal hallucinations (AVH) are often multiple distressing experiences. Emerging evidence suggests that interventions informed by the principles of cognitive behavioral therapy, such as brief Cognitive Strategy Enhancement (brief-CSE), can reduce the distress related to AVH. The benefits of brief-CSE have been demonstrated for English-speaking patients. This uncontrolled pilot study, conducted in routine clinical practice, evaluated the benefits of brief-CSE within a group of French-speaking AVH hearers. Thirty-two patients were offered the brief-CSE intervention. Self-administered questionnaires were completed pre-post intervention. A significant reduction was observed in AVH distress, with a large effect size, and for more than half of the patients, this reduction was clinically meaningful. AVH severity and anxiety also decreased significantly. This study demonstrates that brief-CSE can be implemented in non-English-speaking routine clinical practice and can reduce several aspects of AVH subjective experience. There is a need to confirm these findings in a larger sample.
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Affiliation(s)
- Adriano Zanello
- HUG Department of Mental Health and Psychiatry, University Hospitals of Geneva, Thônex, Switzerland
| | - Daniel Mutanda
- R&D Department, Sussex Partnership NHS Foundation Trust, Sussex Education Centre, Hove
| | - Othman Sentissi
- HUG Department of Mental Health and Psychiatry, University Hospitals of Geneva, Thônex, Switzerland
| | - Mark Hayward
- School of Psychology, University of Sussex, Brighton, United Kingdom
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Li Y, Huang X, Ruan X, Duan D, Zhang Y, Yu S, Chen A, Wang Z, Zou Y, Xia M, Wei X. Baseline cerebral structural morphology predict freezing of gait in early drug-naïve Parkinson's disease. NPJ Parkinsons Dis 2022; 8:176. [PMID: 36581626 PMCID: PMC9800563 DOI: 10.1038/s41531-022-00442-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 12/20/2022] [Indexed: 12/30/2022] Open
Abstract
Freezing of gait (FOG) greatly impacts the daily life of patients with Parkinson's disease (PD). However, predictors of FOG in early PD are limited. Moreover, recent neuroimaging evidence of cerebral morphological alterations in PD is heterogeneous. We aimed to develop a model that could predict the occurrence of FOG using machine learning, collaborating with clinical, laboratory, and cerebral structural imaging information of early drug-naïve PD and investigate alterations in cerebral morphology in early PD. Data from 73 healthy controls (HCs) and 158 early drug-naïve PD patients at baseline were obtained from the Parkinson's Progression Markers Initiative cohort. The CIVET pipeline was used to generate structural morphological features with T1-weighted imaging (T1WI). Five machine learning algorithms were calculated to assess the predictive performance of future FOG in early PD during a 5-year follow-up period. We found that models trained with structural morphological features showed fair to good performance (accuracy range, 0.67-0.73). Performance improved when clinical and laboratory data was added (accuracy range, 0.71-0.78). For machine learning algorithms, elastic net-support vector machine models (accuracy range, 0.69-0.78) performed the best. The main features used to predict FOG based on elastic net-support vector machine models were the structural morphological features that were mainly distributed in the left cerebrum. Moreover, the bilateral olfactory cortex (OLF) showed a significantly higher surface area in PD patients than in HCs. Overall, we found that T1WI morphometric markers helped predict future FOG occurrence in patients with early drug-naïve PD at the individual level. The OLF exhibits predominantly cortical expansion in early PD.
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Affiliation(s)
- Yuting Li
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China ,grid.284723.80000 0000 8877 7471Affiliated Dongguan Hospital, Southern Medical University (Dongguan People’s Hospital), Guangdong, China
| | - Xiaofei Huang
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
| | - Xiuhang Ruan
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
| | - Dingna Duan
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Yihe Zhang
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Shaode Yu
- grid.443274.20000 0001 2237 1871School of Information and Communication Engineering, Communication University of China, Beijing, China
| | - Amei Chen
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
| | - Zhaoxiu Wang
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
| | - Yujian Zou
- grid.284723.80000 0000 8877 7471Affiliated Dongguan Hospital, Southern Medical University (Dongguan People’s Hospital), Guangdong, China
| | - Mingrui Xia
- grid.20513.350000 0004 1789 9964State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
| | - Xinhua Wei
- grid.79703.3a0000 0004 1764 3838Department of Radiology, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangdong, China
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Structural brain abnormalities in schizophrenia patients with a history and presence of auditory verbal hallucination. Transl Psychiatry 2022; 12:511. [PMID: 36543775 PMCID: PMC9772175 DOI: 10.1038/s41398-022-02282-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 11/21/2022] [Accepted: 12/02/2022] [Indexed: 12/24/2022] Open
Abstract
Although many studies have demonstrated structural brain abnormalities associated with auditory verbal hallucinations (AVH) in schizophrenia, the results remain inconsistent because of the small sample sizes and the reliability of clinical interviews. We compared brain morphometries in 204 participants, including 58 schizophrenia patients with a history of AVH (AVH + ), 29 without a history of AVH (AVH-), and 117 healthy controls (HCs) based on a detailed inspection of medical records. We further divided the AVH+ group into 37 patients with and 21 patients without hallucinations at the time of the MRI scans (AVH++ and AVH+-, respectively) via clinical interviews to explore the morphological differences according to the persistence of AVH. The AVH + group had a smaller surface area in the left caudal middle frontal gyrus (F = 7.28, FDR-corrected p = 0.0008) and precentral gyrus (F = 7.68, FDR-corrected p = 0.0006) compared to the AVH- group. The AVH+ patients had a smaller surface area in the left insula (F = 7.06, FDR-corrected p = 0.001) and a smaller subcortical volume in the bilateral hippocampus (right: F = 13.34, FDR-corrected p = 0.00003; left: F = 6.80, FDR-corrected p = 0.001) compared to the HC group. Of these significantly altered areas, the AVH++ group showed significantly smaller bilateral hippocampal volumes compared to the AVH+- group, and a smaller surface area in the left precentral gyrus and caudal middle frontal gyrus compared to the AVH- group. Our findings highlighted the distinct pattern of structural alteration between the history and presence of AVH in schizophrenia, and the importance of integrating multiple criteria to elucidate the neuroanatomical mechanisms.
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Paul AK, Bose A, Kalmady SV, Shivakumar V, Sreeraj VS, Parlikar R, Narayanaswamy JC, Dursun SM, Greenshaw AJ, Greiner R, Venkatasubramanian G. Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning study. Front Psychiatry 2022; 13:923938. [PMID: 35990061 PMCID: PMC9388779 DOI: 10.3389/fpsyt.2022.923938] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 07/19/2022] [Indexed: 11/26/2022] Open
Abstract
Transcranial direct current stimulation (tDCS) is a promising adjuvant treatment for persistent auditory verbal hallucinations (AVH) in Schizophrenia (SZ). Nonetheless, there is considerable inter-patient variability in the treatment response of AVH to tDCS in SZ. Machine-learned models have the potential to predict clinical response to tDCS in SZ. This study aims to examine the feasibility of identifying SZ patients with persistent AVH (SZ-AVH) who will respond to tDCS based on resting-state functional connectivity (rs-FC). Thirty-four SZ-AVH patients underwent resting-state functional MRI at baseline followed by add-on, twice-daily, 20-min sessions with tDCS (conventional/high-definition) for 5 days. A machine learning model was developed to identify tDCS treatment responders based on the rs-FC pattern, using the left superior temporal gyrus (LSTG) as the seed region. Functional connectivity between LSTG and brain regions involved in auditory and sensorimotor processing emerged as the important predictors of the tDCS treatment response. L1-regularized logistic regression model had an overall accuracy of 72.5% in classifying responders vs. non-responders. This model outperformed the state-of-the-art convolutional neural networks (CNN) model-both without (59.41%) and with pre-training (68.82%). It also outperformed the L1-logistic regression model trained with baseline demographic features and clinical scores of SZ patients. This study reports the first evidence that rs-fMRI-derived brain connectivity pattern can predict the clinical response of persistent AVH to add-on tDCS in SZ patients with 72.5% accuracy.
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Affiliation(s)
- Animesh Kumar Paul
- Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada
- Department of Computing Science, University of Alberta, Edmonton, AB, Canada
| | - Anushree Bose
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Sunil Vasu Kalmady
- Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada
- Canadian VIGOUR Centre, University of Alberta, Edmonton, AB, Canada
| | - Venkataram Shivakumar
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Vanteemar S Sreeraj
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Rujuta Parlikar
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Janardhanan C Narayanaswamy
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
| | - Serdar M Dursun
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | | | - Russell Greiner
- Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada
- Department of Computing Science, University of Alberta, Edmonton, AB, Canada
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Ganesan Venkatasubramanian
- Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
- Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bengaluru, India
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Johnson JF, Belyk M, Schwartze M, Pinheiro AP, Kotz SA. Hypersensitivity to passive voice hearing in hallucination proneness. Front Hum Neurosci 2022; 16:859731. [PMID: 35966990 PMCID: PMC9366353 DOI: 10.3389/fnhum.2022.859731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 06/29/2022] [Indexed: 11/21/2022] Open
Abstract
Voices are a complex and rich acoustic signal processed in an extensive cortical brain network. Specialized regions within this network support voice perception and production and may be differentially affected in pathological voice processing. For example, the experience of hallucinating voices has been linked to hyperactivity in temporal and extra-temporal voice areas, possibly extending into regions associated with vocalization. Predominant self-monitoring hypotheses ascribe a primary role of voice production regions to auditory verbal hallucinations (AVH). Alternative postulations view a generalized perceptual salience bias as causal to AVH. These theories are not mutually exclusive as both ascribe the emergence and phenomenology of AVH to unbalanced top-down and bottom-up signal processing. The focus of the current study was to investigate the neurocognitive mechanisms underlying predisposition brain states for emergent hallucinations, detached from the effects of inner speech. Using the temporal voice area (TVA) localizer task, we explored putative hypersalient responses to passively presented sounds in relation to hallucination proneness (HP). Furthermore, to avoid confounds commonly found in in clinical samples, we employed the Launay-Slade Hallucination Scale (LSHS) for the quantification of HP levels in healthy people across an experiential continuum spanning the general population. We report increased activation in the right posterior superior temporal gyrus (pSTG) during the perception of voice features that positively correlates with increased HP scores. In line with prior results, we propose that this right-lateralized pSTG activation might indicate early hypersensitivity to acoustic features coding speaker identity that extends beyond own voice production to perception in healthy participants prone to experience AVH.
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Affiliation(s)
- Joseph F. Johnson
- Department of Neuropsychology and Psychopharmacology, University of Maastricht, Maastricht, Netherlands
| | - Michel Belyk
- Department of Psychology, Edge Hill University, Ormskirk, United Kingdom
| | - Michael Schwartze
- Department of Neuropsychology and Psychopharmacology, University of Maastricht, Maastricht, Netherlands
| | - Ana P. Pinheiro
- Faculdade de Psicologia, Universidade de Lisboa, Lisbon, Portugal
| | - Sonja A. Kotz
- Department of Neuropsychology and Psychopharmacology, University of Maastricht, Maastricht, Netherlands
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- *Correspondence: Sonja A. Kotz,
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9
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Corona-Hernández H, Brederoo SG, de Boer JN, Sommer IEC. A data-driven linguistic characterization of hallucinated voices in clinical and non-clinical voice-hearers. Schizophr Res 2022; 241:210-217. [PMID: 35151122 DOI: 10.1016/j.schres.2022.01.055] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 01/11/2022] [Accepted: 01/24/2022] [Indexed: 01/15/2023]
Abstract
BACKGROUND Auditory verbal hallucinations (AVHs) are heterogeneous regarding phenomenology and etiology. This has led to the proposal of AVHs subtypes. Distinguishing AVHs subtypes can inform AVHs neurocognitive models and also have implications for clinical practice. A scarcely studied source of heterogeneity relates to the AVHs linguistic characteristics. Therefore, in this study we investigate whether linguistic features distinguish AVHs subtypes, and whether linguistic AVH-subtypes are associated with phenomenology and voice-hearers' clinical status. METHODS Twenty-one clinical and nineteen non-clinical voice-hearers participated in this study. Participants were instructed to repeat verbatim their AVHs just after experiencing them. AVH-repetitions were audio-recorded and transcribed. AVHs phenomenology was assessed using the Auditory Hallucinations Rating Scale of the Psychotic Symptom Rating Scales. Hierarchical clustering analyses without a priori group dichotomization were performed using quantitative measures of sixteen linguistic features to distinguish sets of AVHs. RESULTS A two-AVHs-cluster solution best partitioned the data. AVHs-clusters significantly differed in linguistic features (p < .001); AVHs phenomenology (p < .001); and distribution of clinical voice-hearers (p < .001). The "expanded-AVHs" cluster was characterized by more determiners, more prepositions, longer utterances (all p < .01), and mainly contained non-clinical voice-hearers. The "compact-AVHs" cluster had fewer determiners and prepositions, shorter utterances (all p < .01), more negative content, higher degree of negativity (both p < .05), and predominantly came from clinical voice-hearers. DISCUSSION Two voice-speech clusters were recognized, differing in syntactic-grammatical complexity and negative phenomenology. Our results suggest clinical voice-hearers often hear negative, "compact-voices", understandable under Broca's right hemisphere homologue and memory-based mechanisms. Conversely, non-clinical voice-hearers experience "expanded-voices", better accounted by inner speech AVHs models.
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Affiliation(s)
- H Corona-Hernández
- Department of Biomedical Sciences of Cells & Systems, University Medical Center Groningen, University of Groningen, the Netherlands.
| | - S G Brederoo
- Department of Biomedical Sciences of Cells & Systems, University Medical Center Groningen, University of Groningen, the Netherlands; Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands
| | - J N de Boer
- Department of Biomedical Sciences of Cells & Systems, University Medical Center Groningen, University of Groningen, the Netherlands; Department of Psychiatry, University Medical Center Utrecht, Utrecht University & Brain Center Rudolf Magnus, Utrecht, the Netherlands
| | - I E C Sommer
- Department of Biomedical Sciences of Cells & Systems, University Medical Center Groningen, University of Groningen, the Netherlands; Department of Psychiatry, University Medical Center Groningen, University of Groningen, the Netherlands
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10
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Melvin K, Rollins CPE, Cromby J, Crossley J, Garrison JR, Murray GK, Suckling J. Arts-based methods for hallucination research. Cogn Neuropsychiatry 2022; 27:199-218. [PMID: 34708671 DOI: 10.1080/13546805.2021.1993807] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Neurocognitive models of hallucinations posit theories of misattribution and deficits in the monitoring of mental or perceptual phenomena but cannot yet account for the subjective experience of hallucinations across individuals and diagnostic categories. Arts-based research methods (ABRM) have potential for advancing research, as art depicts experiences which cognitive neuropsychiatry seeks to explain. METHODS To examine how incorporating ABRM may advance hallucination research and theories, we explore data on the lived experiences of hallucinations in psychiatric and neurological populations. We present a multiple case study of two empirical ABRM studies, which used participant-generated artwork and artist collaborations alongside interviews. RESULTS ABRM combined with interviews illustrated that hallucinations were infused with sensory features, characterised by embodiment, and situated within lived circumstances. These findings advance neurocognitive models of hallucinations by nuancing their multimodal nature, illustrating their embodied feelings, and exploring their content and themes. The process of generating artworks aided in disclosing difficult to discuss hallucinations, promoted participant self-reflection, and clarified multimodal details that may have been misconstrued through interview alone. ABRM were relevant and acceptable for participants and researchers. CONCLUSION ABRM may contribute to the development of neurocognitive models of hallucinations by making hallucination experiences more visible, tangible, and accessible.
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Affiliation(s)
- Katie Melvin
- Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK.,Leicestershire Partnership NHS Trust, Leicester, UK.,Innovation, Technology and Operations Division, School of Business, University of Leicester, Leicester, UK
| | | | - John Cromby
- Innovation, Technology and Operations Division, School of Business, University of Leicester, Leicester, UK
| | - Jon Crossley
- Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK.,Leicestershire Partnership NHS Trust, Leicester, UK
| | - Jane R Garrison
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Graham K Murray
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - John Suckling
- Department of Psychiatry, University of Cambridge, Cambridge, UK
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11
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Zarkali A, McColgan P, Leyland LA, Lees AJ, Weil RS. Longitudinal thalamic white and grey matter changes associated with visual hallucinations in Parkinson's disease. J Neurol Neurosurg Psychiatry 2022; 93:169-179. [PMID: 34583941 PMCID: PMC8785065 DOI: 10.1136/jnnp-2021-326630] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 08/25/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Visual hallucinations are common in Parkinson's disease (PD) and associated with worse outcomes. Large-scale network imbalance is seen in PD-associated hallucinations, but mechanisms remain unclear. As the thalamus is critical in controlling cortical networks, structural thalamic changes could underlie network dysfunction in PD hallucinations. METHODS We used whole-brain fixel-based analysis and cortical thickness measures to examine longitudinal white and grey matter changes in 76 patients with PD (15 hallucinators, 61 non-hallucinators) and 26 controls at baseline, and after 18 months. We compared white matter and cortical thickness, adjusting for age, gender, time-between-scans and intracranial volume. To assess thalamic changes, we extracted volumes for 50 thalamic subnuclei (25 each hemisphere) and mean fibre cross-section (FC) for white matter tracts originating in each subnucleus and examined longitudinal change in PD-hallucinators versus non-hallucinators. RESULTS PD hallucinators showed white matter changes within the corpus callosum at baseline and extensive posterior tract involvement over time. Less extensive cortical thickness changes were only seen after follow-up. White matter connections from the right medial mediodorsal magnocellular thalamic nucleus showed reduced FC in PD hallucinators at baseline followed by volume reductions longitudinally. After follow-up, almost all thalamic subnuclei showed tract losses in PD hallucinators compared with non-hallucinators. INTERPRETATION PD hallucinators show white matter loss particularly in posterior connections and in thalamic nuclei, over time with relatively preserved cortical thickness. The right medial mediodorsal thalamic nucleus shows both connectivity and volume loss in PD hallucinations. Our findings provide mechanistic insights into the drivers of network imbalance in PD hallucinations and potential therapeutic targets.
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Affiliation(s)
| | - Peter McColgan
- Huntington's Disease Centre, UCL Institute of Neurology, London, UK
| | | | | | - Rimona Sharon Weil
- Dementia Research Centre, University College London, London, UK
- Wellcome Centre for Human Neuroimaging, University College London, London, UK
- Movement Disorders Consortium, National Hospital for Neurology and Neurosurgery, London, UK
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12
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Zhu T, Wang Z, Zhou C, Fang X, Huang C, Xie C, Ge H, Yan Z, Zhang X, Chen J. Meta-analysis of structural and functional brain abnormalities in schizophrenia with persistent negative symptoms using activation likelihood estimation. Front Psychiatry 2022; 13:957685. [PMID: 36238945 PMCID: PMC9552970 DOI: 10.3389/fpsyt.2022.957685] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/05/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Persistent negative symptoms (PNS) include both primary and secondary negative symptoms that persist after adequate treatment, and represent an unmet therapeutic need. Published magnetic resonance imaging (MRI) evidence of structural and resting-state functional brain abnormalities in schizophrenia with PNS has been inconsistent. Thus, the purpose of this meta-analysis is to identify abnormalities in structural and functional brain regions in patients with PNS compared to healthy controls. METHODS We systematically searched PubMed, Web of Science, and Embase for structural and functional imaging studies based on five research methods, including voxel-based morphometry (VBM), diffusion tensor imaging (DTI), functional connectivity (FC), the amplitude of low-frequency fluctuation or fractional amplitude of low-frequency fluctuation (ALFF/fALFF), and regional homogeneity (ReHo). Afterward, we conducted a coordinate-based meta-analysis by using the activation likelihood estimation algorithm. RESULTS Twenty-five structural MRI studies and thirty-two functional MRI studies were included in the meta-analyses. Our analysis revealed the presence of structural alterations in patients with PNS in some brain regions including the bilateral insula, medial frontal gyrus, anterior cingulate gyrus, left amygdala, superior temporal gyrus, inferior frontal gyrus, cingulate gyrus and middle temporal gyrus, as well as functional differences in some brain regions including the bilateral precuneus, thalamus, left lentiform nucleus, posterior cingulate gyrus, medial frontal gyrus, and superior frontal gyrus. CONCLUSION Our study suggests that structural brain abnormalities are consistently located in the prefrontal, temporal, limbic and subcortical regions, and functional alterations are concentrated in the thalamo-cortical circuits and the default mode network (DMN). This study provides new insights for targeted treatment and intervention to delay further progression of negative symptoms. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/prospero/], identifier [CRD42022338669].
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Affiliation(s)
- Tingting Zhu
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zixu Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Zhou
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyu Fang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chengbing Huang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Department of Psychiatry, The Third People's Hospital of Huai'an, Huaian, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine Southeast University, Nanjing, China
| | - Honglin Ge
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zheng Yan
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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13
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Perret M, Lavallé L, Haesebaert F, Suaud-Chagny MF, Brunelin J, Mondino M. Neuroanatomical correlates of reality monitoring in patients with schizophrenia and auditory hallucinations. Eur Psychiatry 2021; 64:e58. [PMID: 34548121 PMCID: PMC8516745 DOI: 10.1192/j.eurpsy.2021.2234] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background Reality-monitoring process enables to discriminate memories of internally generated information from memories of externally derived information. Studies have reported impaired reality-monitoring abilities in schizophrenia patients with auditory hallucinations (AHs), specifically with an exacerbated externalization bias, as well as alterations in neural activity within frontotemporoparietal areas. In healthy subjects, impaired reality-monitoring abilities have been associated with reduction of the paracingulate sulcus (PCS). The current study aimed to identify neuroanatomical correlates of reality monitoring in patients with schizophrenia. Methods Thirty-five patients with schizophrenia and AHs underwent a reality-monitoring task and a 3D anatomical MRI scan at 1.5 T. PCS lengths were measured separately for each hemisphere, and whole-brain voxel-based morphometry analyses were performed using the Computational Anatomy Toolbox (version 12.6) to evaluate the gray-matter volume (GMV). Partial correlation analyses were used to investigate the relationship between reality-monitoring and neuroanatomical outcomes (PCS length and GMV), with age and intracranial volume as covariates. Results The right PCS length was positively correlated with reality-monitoring accuracy (Spearman’s ρ = 0.431, p = 0.012) and negatively with the externalization bias (Spearman’s ρ = −0.379, p = 0.029). Reality-monitoring accuracy was positively correlated with GMV in the right angular gyrus, whereas externalization bias was negatively correlated with GMV in the left supramarginal gyrus/superior temporal gyrus, in the right lingual gyrus and in the bilateral inferior temporal/fusiform gyri (voxel-level p < 0.001 and cluster-level p < 0.05, FDR-corrected). Conclusions Reduced reality-monitoring abilities were significantly associated with shorter right PCS and reduced GMV in temporal and parietal regions of the reality-monitoring network in schizophrenia patients with AHs.
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Affiliation(s)
- Mélanie Perret
- INSERM, U1028, CNRS, UMR5292, Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response Team, LyonF-69000, France.,University Lyon 1, Villeurbanne F-69000, France.,Centre Hospitalier Le Vinatier, Bron, France
| | - Layla Lavallé
- INSERM, U1028, CNRS, UMR5292, Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response Team, LyonF-69000, France.,University Lyon 1, Villeurbanne F-69000, France.,Centre Hospitalier Le Vinatier, Bron, France
| | - Frédéric Haesebaert
- INSERM, U1028, CNRS, UMR5292, Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response Team, LyonF-69000, France.,University Lyon 1, Villeurbanne F-69000, France.,Centre Hospitalier Le Vinatier, Bron, France
| | - Marie-Françoise Suaud-Chagny
- INSERM, U1028, CNRS, UMR5292, Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response Team, LyonF-69000, France.,University Lyon 1, Villeurbanne F-69000, France.,Centre Hospitalier Le Vinatier, Bron, France
| | - Jérôme Brunelin
- INSERM, U1028, CNRS, UMR5292, Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response Team, LyonF-69000, France.,University Lyon 1, Villeurbanne F-69000, France.,Centre Hospitalier Le Vinatier, Bron, France
| | - Marine Mondino
- INSERM, U1028, CNRS, UMR5292, Lyon Neuroscience Research Center, Psychiatric Disorders: from Resistance to Response Team, LyonF-69000, France.,University Lyon 1, Villeurbanne F-69000, France.,Centre Hospitalier Le Vinatier, Bron, France
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14
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Moriyama TS, Drukker M, Guloksuz S, Ten Have M, de Graaf R, van Dorsselaer S, Gunther N, Bak M, van Os J. Evidence for an interrelated cluster of Hallucinatory experiences in the general population: an incidence study. Psychol Med 2021; 51:2034-2043. [PMID: 32317030 DOI: 10.1017/s0033291720000793] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Although hallucinations have been studied in terms of prevalence and its associations with psychopathology and functional impairment, very little is known about sensory modalities other than auditory (i.e. haptic, visual and olfactory), as well the incidence of hallucinations, factors predicting incidence and subsequent course. METHODS We examined the incidence, course and risk factors of hallucinatory experiences across different modalities in two unique prospective general population cohorts in the same country using similar methodology and with three interview waves, one over the period 1996-1999 (NEMESIS) and one over the period 2007-2015 (NEMESIS-2). RESULTS In NEMESIS-2, the yearly incidence of self-reported visual hallucinations was highest (0.33%), followed by haptic hallucinations (0.31%), auditory hallucinations (0.26%) and olfactory hallucinations (0.23%). Rates in NEMESIS-1 were similar (respectively: 0.35%, 0.26%, 0.23%, 0.22%). The incidence of clinician-confirmed hallucinations was approximately 60% of the self-reported rate. The persistence rate of incident hallucinations was around 20-30%, increasing to 40-50% for prevalent hallucinations. Incident hallucinations in one modality were very strongly associated with occurrence in another modality (median OR = 59) and all modalities were strongly associated with delusional ideation (median OR = 21). Modalities were approximately equally strongly associated with the presence of any mental disorder (median OR = 4), functioning, indicators of help-seeking and established environmental risk factors for psychotic disorder. CONCLUSIONS Hallucinations across different modalities are a clinically relevant feature of non-psychotic disorders and need to be studied in relation to each other and in relation to delusional ideation, as all appear to have a common underlying mechanism.
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Affiliation(s)
- Tais S Moriyama
- Instituto Bairral, Itapira, Brazil
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Marjan Drukker
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Sinan Guloksuz
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Magreet Ten Have
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Ron de Graaf
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Saskia van Dorsselaer
- Department of Epidemiology, Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
| | - Nicole Gunther
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
- School of Psychology, Open University, Heerlen, The Netherlands
| | - Maarten Bak
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Psychosis Studies, King's College London, King's Health Partners, Institute of Psychiatry, London, UK
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15
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Pezzoli S, Sánchez-Valle R, Solanes A, Kempton MJ, Bandmann O, Shin JI, Cagnin A, Goldman JG, Merkitch D, Firbank MJ, Taylor JP, Pagonabarraga J, Kulisevsky J, Blanc F, Verdolini N, Venneri A, Radua J. Neuroanatomical and cognitive correlates of visual hallucinations in Parkinson's disease and dementia with Lewy bodies: Voxel-based morphometry and neuropsychological meta-analysis. Neurosci Biobehav Rev 2021; 128:367-382. [PMID: 34171324 DOI: 10.1016/j.neubiorev.2021.06.030] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Revised: 04/30/2021] [Accepted: 06/19/2021] [Indexed: 02/04/2023]
Abstract
Visual hallucinations (VH) are common in Parkinson's disease and dementia with Lewy bodies, two forms of Lewy body disease (LBD), but the neural substrates and mechanisms involved are still unclear. We conducted meta-analyses of voxel-based morphometry (VBM) and neuropsychological studies investigating the neuroanatomical and cognitive correlates of VH in LBD. For VBM (12 studies), we used Seed-based d Mapping with Permutation of Subject Images (SDM-PSI), including statistical parametric maps for 50% of the studies. For neuropsychology (35 studies), we used MetaNSUE to consider non-statistically significant unreported effects. VH were associated with smaller grey matter volume in occipital, frontal, occipitotemporal, and parietal areas (peak Hedges' g -0.34 to -0.49). In patients with Parkinson's disease without dementia, VH were associated with lower verbal immediate memory performance (Hedges' g -0.52). Both results survived correction for multiple comparisons. Abnormalities in these brain regions might reflect dysfunctions in brain networks sustaining visuoperceptive, attention, and executive abilities, with the latter also being at the basis of poor immediate memory performance.
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Affiliation(s)
- Stefania Pezzoli
- Department of Neuroscience, University of Sheffield, Sheffield, UK; Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, CA, USA
| | - Raquel Sánchez-Valle
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Aleix Solanes
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neurosciences, King's College London, UK
| | - Oliver Bandmann
- Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul, South Korea
| | | | - Jennifer G Goldman
- Shirley Ryan Ability Lab Parkinson's Disease and Movement Disorders program, Chicago, IL, USA; Northwestern University Feinberg School of Medicine, Departments of Physical Medicine and Neurology, Chicago, IL, USA
| | - Doug Merkitch
- Shirley Ryan Ability Lab Parkinson's Disease and Movement Disorders program, Chicago, IL, USA
| | - Michael J Firbank
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain; Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain; Biomedical Research Networking Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain; Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain; Biomedical Research Networking Center on Neurodegenerative Diseases (CIBERNED), Madrid, Spain
| | - Frederic Blanc
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK; Geriatrics Day Hospital and Neuropsychology Unit, Geriatrics Department and Neurology Service, Memory Resources and Research Centre (CMRR), University Hospital of Strasbourg, Strasbourg, France; Team IMIS/Neurocrypto, French National Center for Scientific Research (CNRS), ICube Laboratory and Fédération de Médecine Translationnelle de Strasbourg (FMTS), University of Strasbourg, Strasbourg, France
| | - Norma Verdolini
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain; Bipolar and Depressive Disorders Unit, Institute of Neuroscience, Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Sheffield, UK; Department of Life Sciences, Brunel University London, London, UK
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Mental Health Research Networking Center (CIBERSAM), Madrid, Spain; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden.
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16
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Younes K, Rojas JC, Wolf A, Sheng‐Yang GM, Paoletti M, Toller G, Caverzasi E, Luisa Mandelli M, Illán‐Gala I, Kramer JH, Cobigo Y, Miller BL, Rosen HJ, Geschwind MD. Selective vulnerability to atrophy in sporadic Creutzfeldt-Jakob disease. Ann Clin Transl Neurol 2021; 8:1183-1199. [PMID: 33949799 PMCID: PMC8164858 DOI: 10.1002/acn3.51290] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 11/16/2020] [Accepted: 12/04/2020] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVE Identification of brain regions susceptible to quantifiable atrophy in sporadic Creutzfeldt-Jakob disease (sCJD) should allow for improved understanding of disease pathophysiology and development of structural biomarkers that might be useful in future treatment trials. Although brain atrophy is not usually present by visual assessment of MRIs in sCJD, we assessed whether using voxel-based morphometry (VBM) can detect group-wise brain atrophy in sCJD. METHODS 3T brain MRI data were analyzed with VBM in 22 sCJD participants and 26 age-matched controls. Analyses included relationships of regional brain volumes with major clinical variables and dichotomization of the cohort according to expected disease duration based on prion molecular classification (i.e., short-duration/Fast-progressors (MM1, MV1, and VV2) vs. long-duration/Slow-progressors (MV2, VV1, and MM2)). Structural equation modeling (SEM) was used to assess network-level interactions of atrophy between specific brain regions. RESULTS sCJD showed selective atrophy in cortical and subcortical regions overlapping with all but one region of the default mode network (DMN) and the insulae, thalami, and right occipital lobe. SEM showed that the effective connectivity model fit in sCJD but not controls. The presence of visual hallucinations correlated with right fusiform, bilateral thalami, and medial orbitofrontal atrophy. Interestingly, brain atrophy was present in both Fast- and Slow-progressors. Worse cognition was associated with bilateral mesial frontal, insular, temporal pole, thalamus, and cerebellum atrophy. INTERPRETATION Brain atrophy in sCJD preferentially affects specific cortical and subcortical regions, with an effective connectivity model showing strength and directionality between regions. Brain atrophy is present in Fast- and Slow-progressors, correlates with clinical findings, and is a potential biomarker in sCJD.
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Affiliation(s)
- Kyan Younes
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Julio C. Rojas
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Amy Wolf
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Goh M. Sheng‐Yang
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Matteo Paoletti
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
- Advanced Imaging and Radiomics CenterNeuroradiology DepartmentIRCCS Mondino FoundationPaviaItaly
| | - Gianina Toller
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Eduardo Caverzasi
- Department of NeurologyUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Maria Luisa Mandelli
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Ignacio Illán‐Gala
- Department of NeurologyHospital de la Santa Creu i Sant PauUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Joel H. Kramer
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Yann Cobigo
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Bruce L. Miller
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Howard J. Rosen
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
| | - Michael D. Geschwind
- Department of NeurologyWeill Institute for NeurosciencesMemory and Aging CenterUniversity of California, San Francisco (UCSF)San FranciscoCalifornia
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17
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Abstract
Visual hallucinations have intrigued neurologists and physicians for generations due to patients' vivid and fascinating descriptions. They are most commonly associated with Parkinson's disease and dementia with Lewy bodies, but also occur in people with visual loss, where they are known as Charles Bonnet syndrome. More rarely, they can develop in other neurological conditions, such as thalamic or midbrain lesions, when they are known as peduncular hallucinosis. This review considers the mechanisms underlying visual hallucinations across diagnoses, including visual loss, network dysfunction across the brain and changes in neurotransmitters. We propose a framework to explain why visual hallucinations occur most commonly in Parkinson's disease and dementia with Lewy bodies, and discuss treatment approaches to visual hallucinations in these conditions.
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Affiliation(s)
- Rimona S Weil
- Dementia Research Centre, University College London, London, UK
| | - A J Lees
- Reta Lila Weston Institute of Neurological Studies, University College London, London, UK
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18
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Schoorl J, Barbu MC, Shen X, Harris MR, Adams MJ, Whalley HC, Lawrie SM. Grey and white matter associations of psychotic-like experiences in a general population sample (UK Biobank). Transl Psychiatry 2021; 11:21. [PMID: 33414383 PMCID: PMC7791107 DOI: 10.1038/s41398-020-01131-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 11/10/2020] [Accepted: 11/23/2020] [Indexed: 01/29/2023] Open
Abstract
There has been a substantial amount of research reporting the neuroanatomical associations of psychotic symptoms in people with schizophrenia. Comparatively little attention has been paid to the neuroimaging correlates of subclinical psychotic symptoms, so-called "psychotic-like experiences" (PLEs), within large healthy populations. PLEs are relatively common in the general population (7-13%), can be distressing and negatively affect health. This study therefore examined gray and white matter associations of four different PLEs (auditory or visual PLEs, and delusional ideas about conspiracies or communications) in subjects of the UK Biobank study with neuroimaging data (N = 21,390, mean age = 63 years). We tested for associations between any PLE (N = 768) and individual PLEs with gray and white matter brain structures, controlling for sex, age, intracranial volume, scanning site, and position in the scanner. Individuals that reported having experienced auditory hallucinations (N = 272) were found to have smaller volumes of the caudate, putamen, and accumbens (β = -0.115-0.134, pcorrected = 0.048-0.036), and reduced temporal lobe volume (β = -0.017, pcorrected = 0.047) compared to those that did not. People who indicated that they had ever believed in unreal conspiracies (N = 111) had a larger volume of the left amygdala (β = 0.023, pcorrected = 0.038). Individuals that reported a history of visual PLEs (N = 435) were found to have reduced white matter microstructure of the forceps major (β = -0.029, pcorrected = 0.009), an effect that was more marked in participants who reported PLEs as distressing. These associations were not accounted for by diagnoses of psychotic or depressive illness, nor the known risk factors for psychotic symptoms of childhood adversity or cannabis use. These findings suggest altered regional gray matter volumes and white matter microstructure in association with PLEs in the general population. They further suggest that these alterations may appear more frequently with the presentation of different psychotic symptoms in the absence of clinically diagnosed psychotic disorders.
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Affiliation(s)
- Julie Schoorl
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Miruna C Barbu
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Xueyi Shen
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Mat R Harris
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Mark J Adams
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Heather C Whalley
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK
| | - Stephen M Lawrie
- Division of Psychiatry, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, EH10 5HF, UK.
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19
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Lawn T, Ffytche D. Cerebellar correlates of visual hallucinations in Parkinson's disease and Charles Bonnet Syndrome. Cortex 2020; 135:311-325. [PMID: 33390262 DOI: 10.1016/j.cortex.2020.10.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 10/07/2020] [Accepted: 10/12/2020] [Indexed: 12/31/2022]
Abstract
Hallucinations, percepts in the absence of external stimuli, are a shared feature of eye-disease (Charles Bonnet Syndrome, CBS) and Parkinson's disease (PD) thought to arise through pathophysiologically distinct mechanisms: deafferentation and attentional network dysfunction respectively. Recent studies have found an association between visual hallucinations and structural changes in the cerebellum without obvious link to either mechanism. Here, we employed Voxel Based Morphometry (VBM), optimised for the cerebellum using the Spatially Unbiased Infratentorial Template (SUIT), to characterise similarities and differences in cerebellar structure associated with visual hallucinations in PD and CBS. Grey and white matter volume (GMV & WMV) from patients with eye-disease (n = 12 hallucinators; n = 9 non-hallucinators) and PD (n = 7 hallucinators; n = 9 non-hallucinators) was examined in a 2-way ANOVA controlling for age, sex, and intracranial volume. Comparing hallucinators to controls across both groups, lower GMV was found bilaterally within cerebellar lobule VIII extending to IX/VII. GMV reductions were also found in Crus 1, greater in PD than eye-disease. Predominantly within PD, hallucination-related lower WMV was found in the medulla. No regions of increased GMV or WMV were found. A correlation was observed between brainstem WMV and lobule VIIIb GMV suggesting a functional association. Lobule VIII comprises a functional node within the Dorsal Attention Network (DAN), linking these findings to current attentional theories of hallucinations, while Crus 1 is linked to cortical visual processing. These findings provide preliminary evidence of a cerebellar contribution to hallucinations that transcends clinical conditions.
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Affiliation(s)
- Timothy Lawn
- Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Dominic Ffytche
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
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20
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Rollins CPE, Garrison JR, Arribas M, Seyedsalehi A, Li Z, Chan RCK, Yang J, Wang D, Liò P, Yan C, Yi ZH, Cachia A, Upthegrove R, Deakin B, Simons JS, Murray GK, Suckling J. Evidence in cortical folding patterns for prenatal predispositions to hallucinations in schizophrenia. Transl Psychiatry 2020; 10:387. [PMID: 33159044 PMCID: PMC7648757 DOI: 10.1038/s41398-020-01075-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 09/30/2020] [Accepted: 10/22/2020] [Indexed: 12/26/2022] Open
Abstract
All perception is a construction of the brain from sensory input. Our first perceptions begin during gestation, making fetal brain development fundamental to how we experience a diverse world. Hallucinations are percepts without origin in physical reality that occur in health and disease. Despite longstanding research on the brain structures supporting hallucinations and on perinatal contributions to the pathophysiology of schizophrenia, what links these two distinct lines of research remains unclear. Sulcal patterns derived from structural magnetic resonance (MR) images can provide a proxy in adulthood for early brain development. We studied two independent datasets of patients with schizophrenia who underwent clinical assessment and 3T MR imaging from the United Kingdom and Shanghai, China (n = 181 combined) and 63 healthy controls from Shanghai. Participants were stratified into those with (n = 79 UK; n = 22 Shanghai) and without (n = 43 UK; n = 37 Shanghai) hallucinations from the PANSS P3 scores for hallucinatory behaviour. We quantified the length, depth, and asymmetry indices of the paracingulate and superior temporal sulci (PCS, STS), which have previously been associated with hallucinations in schizophrenia, and constructed cortical folding covariance matrices organized by large-scale functional networks. In both ethnic groups, we demonstrated a significantly shorter left PCS in patients with hallucinations compared to those without, and to healthy controls. Reduced PCS length and STS depth corresponded to focal deviations in their geometry and to significantly increased covariance within and between areas of the salience and auditory networks. The discovery of neurodevelopmental alterations contributing to hallucinations establishes testable models for these enigmatic, sometimes highly distressing, perceptions and provides mechanistic insight into the pathological consequences of prenatal origins.
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Affiliation(s)
- Colleen P. E. Rollins
- grid.5335.00000000121885934Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Jane R. Garrison
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Cambridge, UK
| | - Maite Arribas
- grid.5335.00000000121885934Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK ,grid.13097.3c0000 0001 2322 6764Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, UK
| | - Aida Seyedsalehi
- grid.13097.3c0000 0001 2322 6764Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, UK ,grid.450563.10000 0004 0412 9303Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - Zhi Li
- grid.9227.e0000000119573309Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Raymond C. K. Chan
- grid.9227.e0000000119573309Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Junwei Yang
- grid.5335.00000000121885934Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Duo Wang
- grid.5335.00000000121885934Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Pietro Liò
- grid.5335.00000000121885934Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Chao Yan
- grid.22069.3f0000 0004 0369 6365Key Laboratory of Brain Functional Genomics (MOE & STCSM), School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Zheng-hui Yi
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Arnaud Cachia
- Université de Paris, LaPsyDÉ, CNRS, F-75005 Paris, France ,Université de Paris, IPNP, INSERM, F-75005 Paris, France
| | - Rachel Upthegrove
- grid.6572.60000 0004 1936 7486Institute for Mental Health, University of Birmingham, Birmingham, UK
| | - Bill Deakin
- grid.5379.80000000121662407Neuroscience and Psychiatry Unit, The University of Manchester, Manchester, UK
| | - Jon S. Simons
- grid.5335.00000000121885934Department of Psychology, University of Cambridge, Cambridge, UK
| | - Graham K. Murray
- grid.5335.00000000121885934Department of Psychiatry, University of Cambridge, Cambridge, UK ,grid.450563.10000 0004 0412 9303Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
| | - John Suckling
- grid.5335.00000000121885934Department of Psychiatry, University of Cambridge, Cambridge, UK
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21
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Tavitian A, Cressatti M, Song W, Turk AZ, Galindez C, Smart A, Liberman A, Schipper HM. Strategic Timing of Glial HMOX1 Expression Results in Either Schizophrenia-Like or Parkinsonian Behavior in Mice. Antioxid Redox Signal 2020; 32:1259-1272. [PMID: 31847534 DOI: 10.1089/ars.2019.7937] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Aims: In this original research communication, we assess the impact of shifting the window of glial HMOX1 overexpression in mice from early-to-midlife to mid-to-late life, resulting in two disparate conditions modeling schizophrenia (SCZ) and Parkinson's disease (PD). Mesolimbic hyperdopaminergia is a widely accepted feature of SCZ, while nigrostriatal hypodopaminergia is the sine qua non of idiopathic PD. Although the advent of parkinsonian features in SCZ patients after treatment with antidopaminergic agents is intuitive, subtle features of parkinsonism commonly observed in young, drug-naïve schizophrenics are not. Similarly, emergent psychosis in PD subjects receiving levodopa replacement is not unusual, whereas spontaneous hallucinosis in nonmedicated persons with idiopathic PD is enigmatic. Investigations using GFAP.HMOX1 mice may shed light on these clinical paradoxes. Results: Astroglial heme oxygenase-1 (HO-1) overexpression in mice throughout embryogenesis until 6 or 12 months of age resulted in hyperdopaminergia, hyperkinesia/stereotypy ameliorated with clozapine, deficient prepulse inhibition of the acoustic startle response, reduced preference for social novelty, impaired nest building, and cognitive dysfunction reminiscent of SCZ. On the contrary, astroglial HO-1 overexpression between 8.5 and 19 months of age yielded a PD-like behavioral phenotype with hypodopaminergia, altered gait, locomotor incoordination, and reduced olfaction. Innovation: We conjecture that region-specific disparities in the susceptibility of dopaminergic and other circuitry to the trophic and degenerative influences of glial HMOX1 induction may permit the concomitant expression of mixed SCZ and PD traits within affected individuals. Conclusion: Elucidation of these converging mechanisms may (i) help better understand disease pathogenesis and (ii) identify HO-1 as a potential therapeutic target in neurodevelopmental and neurodegenerative disorders.
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Affiliation(s)
- Ayda Tavitian
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Marisa Cressatti
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Wei Song
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada
| | - Ariana Z Turk
- Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Carmela Galindez
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada
| | - Adam Smart
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
| | - Adrienne Liberman
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada
| | - Hyman M Schipper
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada.,Department of Neurology and Neurosurgery, McGill University, Montreal, Canada
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22
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Waddington JL. Psychosis in Parkinson's disease and parkinsonism in antipsychotic-naive schizophrenia spectrum psychosis: clinical, nosological and pathobiological challenges. Acta Pharmacol Sin 2020; 41:464-470. [PMID: 32139896 PMCID: PMC7470778 DOI: 10.1038/s41401-020-0373-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Accepted: 01/27/2020] [Indexed: 01/13/2023] Open
Abstract
Following the formulation of operational criteria for the diagnosis of psychosis in Parkinson's disease, a neurodegenerative disorder, the past decade has seen increasing interest in such nonmotor psychopathology that appears to be independent of dopaminergic therapy. Similarly, there has been a resurgence of interest in motor aspects of the neurodevelopmental disorder of schizophrenia, including spontaneous parkinsonism that appears to be independent of antipsychotic treatment. This review first addresses the clinical and nosological challenges of these superficially paradoxical insights and then considers pathobiological challenges. It proposes that diverse modes of disturbance to one or more element(s) in a cortical-striatal-thalamocortical neuronal network, whether neurodegenerative or neurodevelopmental, can result in movement disorder, psychosis or both. It then proposes that time- and site-dependent dysfunction in such a neuronal network may be a generic substrate for the emergence of psychosis not only in Parkinson's disease and schizophrenia-spectrum disorders but also in other neuropsychiatric disorders in which psychosis, and sometimes movement disorders, can be encountered; these include substance abuse, cerebrovascular disease, cerebral trauma, cerebral neoplasia, epilepsy, Huntington's disease, frontotemporal dementia, Alzheimer's disease and multiple sclerosis.
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Affiliation(s)
- John L Waddington
- School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, 2, Ireland.
- Jiangsu Key Laboratory of Translational Research & Therapy for Neuro-Psychiatric Disorders and Department of Pharmacology, College of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China.
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23
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Ford JM, Hamilton HK. Are Neuroanatomical Abnormalities Underlying Hallucinations Modality-specific? EClinicalMedicine 2019; 8:8-9. [PMID: 31193666 PMCID: PMC6537551 DOI: 10.1016/j.eclinm.2019.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Accepted: 01/30/2019] [Indexed: 11/25/2022] Open
Affiliation(s)
- Judith M. Ford
- San Francisco VA Healthcare System, 4150 Clement Street 116D, San Francisco, CA 94121, United States of America
- University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94143, United States of America
- Corresponding author at: Mental Health Service 116D, San Francisco VA Healthcare System, 4150 Clement St., San Francisco, CA 94121, United States of America.
| | - Holly K. Hamilton
- University of California, San Francisco, 401 Parnassus Avenue, San Francisco, CA 94143, United States of America
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