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Pagonabarraga J, Bejr-Kasem H, Martinez-Horta S, Kulisevsky J. Parkinson disease psychosis: from phenomenology to neurobiological mechanisms. Nat Rev Neurol 2024; 20:135-150. [PMID: 38225264 DOI: 10.1038/s41582-023-00918-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2023] [Indexed: 01/17/2024]
Abstract
Parkinson disease (PD) psychosis (PDP) is a spectrum of illusions, hallucinations and delusions that are associated with PD throughout its disease course. Psychotic phenomena can manifest from the earliest stages of PD and might follow a continuum from minor hallucinations to structured hallucinations and delusions. Initially, PDP was considered to be a complication associated with dopaminergic drug use. However, subsequent research has provided evidence that PDP arises from the progression of brain alterations caused by PD itself, coupled with the use of dopaminergic drugs. The combined dysfunction of attentional control systems, sensory processing, limbic structures, the default mode network and thalamocortical connections provides a conceptual framework to explain how new incoming stimuli are incorrectly categorized, and how aberrant hierarchical predictive processing can produce false percepts that intrude into the stream of consciousness. The past decade has seen the publication of new data on the phenomenology and neurobiological basis of PDP from the initial stages of the disease, as well as the neurotransmitter systems involved in PDP initiation and progression. In this Review, we discuss the latest clinical, neuroimaging and neurochemical evidence that could aid early identification of psychotic phenomena in PD and inform the discovery of new therapeutic targets and strategies.
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Affiliation(s)
- Javier Pagonabarraga
- Movement Disorder Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain.
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain.
- Centro de Investigación en Red - Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.
| | - Helena Bejr-Kasem
- Movement Disorder Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
- Centro de Investigación en Red - Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Saul Martinez-Horta
- Movement Disorder Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
- Centro de Investigación en Red - Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Jaime Kulisevsky
- Movement Disorder Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Medicine, Autonomous University of Barcelona, Barcelona, Spain
- Sant Pau Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
- Centro de Investigación en Red - Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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Reeder RR, Sala G, van Leeuwen TM. A novel model of divergent predictive perception. Neurosci Conscious 2024; 2024:niae006. [PMID: 38348335 PMCID: PMC10860603 DOI: 10.1093/nc/niae006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 01/16/2024] [Accepted: 01/23/2024] [Indexed: 02/15/2024] Open
Abstract
Predictive processing theories state that our subjective experience of reality is shaped by a balance of expectations based on previous knowledge about the world (i.e. priors) and confidence in sensory input from the environment. Divergent experiences (e.g. hallucinations and synaesthesia) are likely to occur when there is an imbalance between one's reliance on priors and sensory input. In a novel theoretical model, inspired by both predictive processing and psychological principles, we propose that predictable divergent experiences are associated with natural or environmentally induced prior/sensory imbalances: inappropriately strong or inflexible (i.e. maladaptive) high-level priors (beliefs) combined with low sensory confidence can result in reality discrimination issues, a characteristic of psychosis; maladaptive low-level priors (sensory expectations) combined with high sensory confidence can result in atypical sensory sensitivities and persistent divergent percepts, a characteristic of synaesthesia. Crucially, we propose that whether different divergent experiences manifest with dominantly sensory (e.g. hallucinations) or nonsensory characteristics (e.g. delusions) depends on mental imagery ability, which is a spectrum from aphantasia (absent or weak imagery) to hyperphantasia (extremely vivid imagery). We theorize that imagery is critically involved in shaping the sensory richness of divergent perceptual experience. In sum, to predict a range of divergent perceptual experiences in both clinical and general populations, three factors must be accounted for: a maladaptive use of priors, individual level of confidence in sensory input, and mental imagery ability. These ideas can be expressed formally using nonparametric regression modeling. We provide evidence for our theory from previous work and deliver predictions for future research.
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Affiliation(s)
- Reshanne R Reeder
- Department of Psychology, Institute of Population Health, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - Giovanni Sala
- Department of Psychology, Institute of Population Health, University of Liverpool, Liverpool L69 3BX, United Kingdom
| | - Tessa M van Leeuwen
- Department of Communication and Cognition, Tilburg School of Humanities and Digital Sciences, Tilburg University, Tilburg, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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3
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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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Monzel M, Reuter M. Where's Wanda? The influence of visual imagery vividness on visual search speed measured by means of hidden object pictures. Atten Percept Psychophys 2024; 86:22-27. [PMID: 36627474 PMCID: PMC10769966 DOI: 10.3758/s13414-022-02645-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/20/2022] [Indexed: 01/11/2023]
Abstract
Previous research demonstrated effects of visual imagery on search speed in visual search paradigms. However, these effects were rather small, questioning their ecological validity. Thus, our present study aimed to generalize these effects to more naturalistic material (i.e., a paradigm that allows for top-down strategies in highly complex visual search displays that include overlapping stimuli while simultaneously avoiding possibly confounding search instructions). One hundred and four participants with aphantasia (= absence of voluntary mental imagery) and 104 gender and age-matched controls were asked to find hidden objects in several hidden object pictures with search times recorded. Results showed that people with aphantasia were significantly slower than controls, even when controlling for age and general processing speed. Thus, effects of visual imagery might be strong enough to influence the perception of our real-life surroundings, probably because of the involvement of visual imagery in several top-down strategies.
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Affiliation(s)
- Merlin Monzel
- Department of Psychology, Personality Psychology and Biological Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany.
| | - Martin Reuter
- Department of Psychology, Personality Psychology and Biological Psychology, University of Bonn, Kaiser-Karl-Ring 9, 53111, Bonn, Germany
- Center for Economics and Neuroscience (CENs), Laboratory of Neurogenetics, University of Bonn, Bonn, Germany
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Sokołowski A, Roy ARK, Goh SM, Hardy EG, Datta S, Cobigo Y, Brown JA, Spina S, Grinberg L, Kramer J, Rankin KP, Seeley WW, Sturm VE, Rosen HJ, Miller BL, Perry DC. Neuropsychiatric symptoms and imbalance of atrophy in behavioral variant frontotemporal dementia. Hum Brain Mapp 2023; 44:5013-5029. [PMID: 37471695 PMCID: PMC10502637 DOI: 10.1002/hbm.26428] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 05/25/2023] [Accepted: 07/05/2023] [Indexed: 07/22/2023] Open
Abstract
Behavioral variant frontotemporal dementia is characterized by heterogeneous frontal, insular, and anterior temporal atrophy patterns that vary along left-right and dorso-ventral axes. Little is known about how these structural imbalances impact clinical symptomatology. The goal of this study was to assess the frequency of frontotemporal asymmetry (right- or left-lateralization) and dorsality (ventral or dorsal predominance of atrophy) and to investigate their clinical correlates. Neuropsychiatric symptoms and structural images were analyzed for 250 patients with behavioral variant frontotemporal dementia. Frontotemporal atrophy was most often symmetric while left-lateralized (9%) and right-lateralized (17%) atrophy were present in a minority of patients. Atrophy was more often ventral (32%) than dorsal (3%) predominant. Patients with right-lateralized atrophy were characterized by higher severity of abnormal eating behavior and hallucinations compared to those with left-lateralized atrophy. Subsequent analyses clarified that eating behavior was associated with right atrophy to a greater extent than a lack of left atrophy, and hallucinations were driven mainly by right atrophy. Dorsality analyses showed that anxiety, euphoria, and disinhibition correlated with ventral-predominant atrophy. Agitation, irritability, and depression showed greater severity with a lack of regional atrophy, including in dorsal regions. Aberrant motor behavior and apathy were not explained by asymmetry or dorsality. This study provides additional insight into how anatomical heterogeneity influences the clinical presentation of patients with behavioral variant frontotemporal dementia. Behavioral symptoms can be associated not only with the presence or absence of focal atrophy, but also with right/left or dorsal/ventral imbalance of gray matter volume.
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Affiliation(s)
- Andrzej Sokołowski
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Ashlin R. K. Roy
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Sheng‐Yang M. Goh
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Emily G. Hardy
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Samir Datta
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Yann Cobigo
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Jesse A. Brown
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Salvatore Spina
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Lea Grinberg
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Joel Kramer
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Katherine P. Rankin
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - William W. Seeley
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Department of PathologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Virginia E. Sturm
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Howard J. Rosen
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Bruce L. Miller
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - David C. Perry
- Department of Neurology, Memory and Aging Center, UCSF Weill Institute for NeurosciencesUniversity of California San FranciscoSan FranciscoCaliforniaUSA
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Wagner S, Monzel M. Measuring imagery strength in schizophrenia: no evidence of enhanced mental imagery priming. Brain Behav 2023; 13:e3146. [PMID: 37411000 PMCID: PMC10497910 DOI: 10.1002/brb3.3146] [Citation(s) in RCA: 1] [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: 02/15/2023] [Revised: 06/21/2023] [Accepted: 06/24/2023] [Indexed: 07/08/2023] Open
Abstract
INTRODUCTION Recent research shows ambivalent results regarding the relationship between mental imagery and schizophrenia. The role of voluntary visual imagery in schizophrenic hallucinations remains unclear. The aim of the study was to investigate the association between visual imagery, schizophrenia, and the occurrence of schizophrenic hallucinations using an objective visual imagery task. METHODS The sample consisted of 16 participants with schizophrenia (59.1% female; MAge = 45.55) and 44 participants without schizophrenia (62.5% female; MAge = 43.94). Visual imagery was measured using the Vividness of Visual Imagery Questionnaire (VVIQ) as well as the well-validated Binocular Rivalry Task (BRT). Occurrences of hallucinations were assessed using the Launay-Slade Hallucination Scale. RESULTS Participants with schizophrenia showed more hallucinatory experiences but did not score higher on either the VVIQ or the BRT than participants without schizophrenia. A correlation between the VVIQ and the BRT was found, validating the measurement of visual imagery and enabling the interpretation that visual imagery vividness is not enhanced in people with schizophrenia. CONCLUSION The association between mental imagery vividness and schizophrenia found in previous studies may be based on other facets of mental imagery than visual imagery.
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Affiliation(s)
| | - Merlin Monzel
- Department of PsychologyUniversity of BonnBonnGermany
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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 PMCID: PMC10250419 DOI: 10.1038/s41531-023-00522-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 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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Pisani S, Gunasekera B, Lu Y, Vignando M, Ffytche D, Aarsland D, Chaudhuri KR, Ballard C, Lee JY, Kim YK, Velayudhan L, Bhattacharyya S. Grey matter volume loss in Parkinson's disease psychosis and its relationship with serotonergic gene expression: A meta-analysis. Neurosci Biobehav Rev 2023; 147:105081. [PMID: 36775084 DOI: 10.1016/j.neubiorev.2023.105081] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/14/2023] [Accepted: 02/05/2023] [Indexed: 02/12/2023]
Abstract
BACKGROUND Neuroanatomical alterations underlying psychosis in Parkinson's Disease (PDP) remain unclear. We carried out a meta-analysis of MRI studies investigating the neural correlates of PDP and examined its relation with dopaminergic and serotonergic receptor gene expression. METHODS PubMed, Web of Science and Embase were searched for MRI studies (k studies = 10) of PDP compared to PD patients without psychosis (PDnP). Seed-based d Mapping with Permutation of Subject Images and multiple linear regression analyses was used to examine the relationship between pooled estimates of grey matter volume (GMV) loss in PDP and D1/D2 and 5-HT1a/5-HT2a receptor gene expression estimates from Allen Human Brain Atlas. RESULTS We observed lower grey matter volume in parietal-temporo-occipital regions (PDP n = 211, PDnP, n = 298). GMV loss in PDP was associated with local expression of 5-HT1a (b = 0.109, p = 0.012) and 5-HT2a receptors (b= -0.106, p = 0.002) but not dopaminergic receptors. CONCLUSION Widespread GMV loss in the parieto-temporo-occipital regions may underlie PDP. Association between grey matter volume and local expression of serotonergic receptor genes may suggest a role for serotonergic receptors in PDP.
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Affiliation(s)
- Sara Pisani
- Division of Academic Psychiatry, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom.
| | - Brandon Gunasekera
- Division of Academic Psychiatry, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom.
| | - Yining Lu
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom.
| | - Miriam Vignando
- Centre for Neuroimaging Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom.
| | - Dominic Ffytche
- Division of Academic Psychiatry, Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom.
| | - Dag Aarsland
- Division of Academic Psychiatry, Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom; Centre for Age-Related Medicine (SESAM), Stavanger University Hospital, Stavanger, Norway.
| | - K Ray Chaudhuri
- Department of Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, and Parkinson's Foundation Centre of Excellence, King's College Hospital, London, United Kingdom.
| | - Clive Ballard
- Medical School, Medical School Building, St Luke's Campus, Magdalen Road, University of Exeter, Exeter EX1 2LU, United Kingdom.
| | - Jee-Young Lee
- Department of Neurology, Seoul National University-Seoul Metropolitan Government, Boramae Medical Center, 20, Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Republic of Korea.
| | - Yu Kyeong Kim
- Department of Nuclear Medicine, Seoul National University-Seoul Metropolitan Government, Boramae Medical Center, 20, Boramae-ro 5-gil, Dongjak-gu, Seoul 07061, Republic of Korea.
| | - Latha Velayudhan
- Division of Academic Psychiatry, Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom; Department of Population Health Sciences, University of Leicester, United Kingdom.
| | - Sagnik Bhattacharyya
- Division of Academic Psychiatry, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 8AF, United Kingdom.
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Lhotka M, Ischebeck A, Helmlinger B, Zaretskaya N. No common factor for illusory percepts, but a link between pareidolia and delusion tendency: A test of predictive coding theory. Front Psychol 2023; 13:1067985. [PMID: 36798645 PMCID: PMC9928206 DOI: 10.3389/fpsyg.2022.1067985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 12/07/2022] [Indexed: 01/06/2023] Open
Abstract
Predictive coding theory is an influential view of perception and cognition. It proposes that subjective experience of the sensory information results from a comparison between the sensory input and the top-down prediction about this input, the latter being critical for shaping the final perceptual outcome. The theory is able to explain a wide range of phenomena extending from sensory experiences such as visual illusions to complex pathological states such as hallucinations and psychosis. In the current study we aimed at testing the proposed connection between different phenomena explained by the predictive coding theory by measuring the manifestation of top-down predictions at progressing levels of complexity, starting from bistable visual illusions (alternating subjective experience of the same sensory input) and pareidolias (alternative meaningful interpretation of the sensory input) to self-reports of hallucinations and delusional ideations in everyday life. Examining the correlation structure of these measures in 82 adult healthy subjects revealed a positive association between pareidolia proneness and a tendency for delusional ideations, yet without any relationship to bistable illusions. These results show that only a subset of the phenomena that are explained by the predictive coding theory can be attributed to one common underlying factor. Our findings thus support the hierarchical view of predictive processing with independent top-down effects at the sensory and cognitive levels.
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Affiliation(s)
- Magdalena Lhotka
- Department of Cognitive Psychology and Neuroscience, Institute of Psychology, University of Graz, Graz, Austria
| | - Anja Ischebeck
- Department of Cognitive Psychology and Neuroscience, Institute of Psychology, University of Graz, Graz, Austria,BioTechMed-Graz, Graz, Austria
| | - Birgit Helmlinger
- Department of Cognitive Psychology and Neuroscience, Institute of Psychology, University of Graz, Graz, Austria,BioTechMed-Graz, Graz, Austria
| | - Natalia Zaretskaya
- Department of Cognitive Psychology and Neuroscience, Institute of Psychology, University of Graz, Graz, Austria,BioTechMed-Graz, Graz, Austria,*Correspondence: Natalia Zaretskaya, ✉
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10
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Cushing CA, Dawes AJ, Hofmann SG, Lau H, LeDoux JE, Taschereau-Dumouchel V. A generative adversarial model of intrusive imagery in the human brain. PNAS NEXUS 2023; 2:pgac265. [PMID: 36733294 PMCID: PMC9887942 DOI: 10.1093/pnasnexus/pgac265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 01/20/2023] [Indexed: 01/24/2023]
Abstract
The mechanisms underlying the subjective experiences of mental disorders remain poorly understood. This is partly due to long-standing over-emphasis on behavioral and physiological symptoms and a de-emphasis of the patient's subjective experiences when searching for treatments. Here, we provide a new perspective on the subjective experience of mental disorders based on findings in neuroscience and artificial intelligence (AI). Specifically, we propose the subjective experience that occurs in visual imagination depends on mechanisms similar to generative adversarial networks that have recently been developed in AI. The basic idea is that a generator network fabricates a prediction of the world, and a discriminator network determines whether it is likely real or not. Given that similar adversarial interactions occur in the two major visual pathways of perception in people, we explored whether we could leverage this AI-inspired approach to better understand the intrusive imagery experiences of patients suffering from mental illnesses such as post-traumatic stress disorder (PTSD) and acute stress disorder. In our model, a nonconscious visual pathway generates predictions of the environment that influence the parallel but interacting conscious pathway. We propose that in some patients, an imbalance in these adversarial interactions leads to an overrepresentation of disturbing content relative to current reality, and results in debilitating flashbacks. By situating the subjective experience of intrusive visual imagery in the adversarial interaction of these visual pathways, we propose testable hypotheses on novel mechanisms and clinical applications for controlling and possibly preventing symptoms resulting from intrusive imagery.
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Affiliation(s)
- Cody A Cushing
- Department of Psychology, UCLA, Los Angeles, CA, 90095, USA
| | - Alexei J Dawes
- RIKEN Center for Brain Science, Wako, Saitama 351-0106, Japan
| | - Stefan G Hofmann
- Department of Clinical Psychology, Philipps-University Marburg, 35037 Marburg, Germany
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, 02215, USA
| | - Hakwan Lau
- RIKEN Center for Brain Science, Wako, Saitama 351-0106, Japan
| | - Joseph E LeDoux
- Center for Neural Science and Department of Psychology, New York University, New York, NY, 10012, USA
- Department of Psychiatry, and Department of Child and Adolescent Psychiatry, New York University Langone Medical School, New York, NY, 10016, USA
| | - Vincent Taschereau-Dumouchel
- Department of Psychiatry and Addictology, Université de Montréal, Montreal, Quebec H3T 1J4, Canada
- Centre de Recherche de l'Institut Universitaire en Santé Mentale de Montréal, Montreal, Quebec H1N 3M5, Canada
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11
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Thomas GEC, Zeidman P, Sultana T, Zarkali A, Razi A, Weil RS. Changes in both top-down and bottom-up effective connectivity drive visual hallucinations in Parkinson's disease. Brain Commun 2022; 5:fcac329. [PMID: 36601626 PMCID: PMC9798302 DOI: 10.1093/braincomms/fcac329] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/13/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022] Open
Abstract
Visual hallucinations are common in Parkinson's disease and are associated with a poorer quality of life and a higher risk of dementia. An important and influential model that is widely accepted as an explanation for the mechanism of visual hallucinations in Parkinson's disease and other Lewy body diseases is that these arise due to aberrant hierarchical processing, with impaired bottom-up integration of sensory information and overweighting of top-down perceptual priors within the visual system. This hypothesis has been driven by behavioural data and supported indirectly by observations derived from regional activation and correlational measures using neuroimaging. However, until now, there was no evidence from neuroimaging for differences in causal influences between brain regions measured in patients with Parkinson's hallucinations. This is in part because previous resting-state studies focused on functional connectivity, which is inherently undirected in nature and cannot test hypotheses about the directionality of connectivity. Spectral dynamic causal modelling is a Bayesian framework that allows the inference of effective connectivity-defined as the directed (causal) influence that one region exerts on another region-from resting-state functional MRI data. In the current study, we utilize spectral dynamic causal modelling to estimate effective connectivity within the resting-state visual network in our cohort of 15 Parkinson's disease visual hallucinators and 75 Parkinson's disease non-visual hallucinators. We find that visual hallucinators display decreased bottom-up effective connectivity from the lateral geniculate nucleus to primary visual cortex and increased top-down effective connectivity from the left prefrontal cortex to primary visual cortex and the medial thalamus, as compared with non-visual hallucinators. Importantly, we find that the pattern of effective connectivity is predictive of the presence of visual hallucinations and associated with their severity within the hallucinating group. This is the first study to provide evidence, using resting-state effective connectivity, to support a model of aberrant hierarchical predictive processing as the mechanism for visual hallucinations in Parkinson's disease.
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Affiliation(s)
- George E C Thomas
- Dementia Research Centre, UCL Institute of Neurology, WC1N 3AR London, UK
| | - Peter Zeidman
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, WC1N 3AR London, UK
| | - Tajwar Sultana
- Department of Computer and Information Systems Engineering, NED University of Engineering & Technology, Karachi 75270, Pakistan
- Department of Biomedical Engineering, NED University of Engineering & Technology, Karachi 74800, Pakistan
- Neurocomputation Laboratory, NCAI Computer and Information Systems Department, NED University of Engineering and Technology, Karachi 75270, Pakistan
| | - Angeliki Zarkali
- Dementia Research Centre, UCL Institute of Neurology, WC1N 3AR London, UK
| | - Adeel Razi
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, WC1N 3AR London, UK
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC 3800, Australia
- CIFAR Azrieli Global Scholars Program, CIFAR, Toronto, ON M5G 1M1, Canada
| | - Rimona S Weil
- Dementia Research Centre, UCL Institute of Neurology, WC1N 3AR London, UK
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, WC1N 3AR London, UK
- Movement Disorders Consortium, UCL, London, UK
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12
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Zarkali A, Luppi AI, Stamatakis EA, Reeves S, McColgan P, Leyland LA, Lees AJ, Weil RS. Changes in dynamic transitions between integrated and segregated states underlie visual hallucinations in Parkinson's disease. Commun Biol 2022; 5:928. [PMID: 36075964 PMCID: PMC9458713 DOI: 10.1038/s42003-022-03903-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 08/25/2022] [Indexed: 11/09/2022] Open
Abstract
Hallucinations are a core feature of psychosis and common in Parkinson's. Their transient, unexpected nature suggests a change in dynamic brain states, but underlying causes are unknown. Here, we examine temporal dynamics and underlying structural connectivity in Parkinson's-hallucinations using a combination of functional and structural MRI, network control theory, neurotransmitter density and genetic analyses. We show that Parkinson's-hallucinators spent more time in a predominantly Segregated functional state with fewer between-state transitions. The transition from integrated-to-segregated state had lower energy cost in Parkinson's-hallucinators; and was therefore potentially preferable. The regional energy needed for this transition was correlated with regional neurotransmitter density and gene expression for serotoninergic, GABAergic, noradrenergic and cholinergic, but not dopaminergic, receptors. We show how the combination of neurochemistry and brain structure jointly shape functional brain dynamics leading to hallucinations and highlight potential therapeutic targets by linking these changes to neurotransmitter systems involved in early sensory and complex visual processing.
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Affiliation(s)
- Angeliki Zarkali
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK.
| | - Andrea I Luppi
- Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Emmanuel A Stamatakis
- Division of Anaesthesia, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0QQ, UK
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Suzanne Reeves
- Division of Psychiatry, University College London, 149 Tottenham Court Rd, London, W1T 7BN, UK
| | - Peter McColgan
- Huntington's Disease Centre, University College London, Russell Square House, London, WC1B 5EH, UK
| | - Louise-Ann Leyland
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Andrew J Lees
- Reta Lila Weston Institute of Neurological Studies, University College London, 1 Wakefield Street, London, WC1N 1PJ, UK
| | - Rimona S 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 Consortium, University College London, London, WC1N 3BG, UK
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13
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Spinosa V, Brattico E, Campo F, Logroscino G. A systematic review on resting state functional connectivity in patients with neurodegenerative disease and hallucinations. Neuroimage Clin 2022; 35:103112. [PMID: 35853345 PMCID: PMC9421441 DOI: 10.1016/j.nicl.2022.103112] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 06/17/2022] [Accepted: 07/10/2022] [Indexed: 11/25/2022]
Abstract
Hallucinations are a complex and multidimensional phenomenon which can differ based on the involved pathology, typology and sensory modality. Hallucinations are common in patients with neurodegenerative diseases. Recent sparse evidence from resting state functional magnetic resonance imaging (rs-fMRI) studies has identified altered functional connectivity in those patients within several brain networks, such as the default mode, attentional and sensory ones, without, however, providing an organized picture of the mechanisms involved. This systematic review, following PRISMA guidelines, aims at critically analyzing the current literature on the brain networks associated with the phenomenon of hallucinations in patients with neurodegenerative diseases. Ten rs-fMRI studies fulfilled our selection criteria. All these studies focused on synucleinopathies, and most of them focused on visual hallucinations and were characterized by a heterogeneous methodology. Thus, instead of offering a definite picture of the mechanisms underlying hallucinations in neurodegeneration, this systematic review encourages further research especially concerning tauopathies. Notwithstanding, the findings overall suggest a disruption in the top-down (associated with memory intrusion and difficulty of inhibition) and in the bottom-up processes (associated with the sensory areas involved in the hallucinations). Further investigations are needed in order to disentangle the brain mechanisms involved in hallucinations and to overcome possible limitations characterizing the current literature.
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Affiliation(s)
- Vittoria Spinosa
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari "Aldo Moro", "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy; Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Elvira Brattico
- Center for Music in the Brain (MIB), Department of Clinical Medicine, Aarhus University & Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark; Department of Education, Psychology, Communication, University of Bari "Aldo Moro", Bari, Italy
| | - Fulvia Campo
- Center for Music in the Brain (MIB), Department of Clinical Medicine, Aarhus University & Royal Academy of Music Aarhus/Aalborg, Aarhus, Denmark; Department of Education, Psychology, Communication, University of Bari "Aldo Moro", Bari, Italy
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari "Aldo Moro", "Pia Fondazione Cardinale G. Panico", Tricase, Lecce, Italy; Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari "Aldo Moro", Bari, Italy.
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14
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Kay L, Keogh R, Andrillon T, Pearson J. The pupillary light response as a physiological index of aphantasia, sensory and phenomenological imagery strength. eLife 2022; 11:72484. [PMID: 35356890 PMCID: PMC9018072 DOI: 10.7554/elife.72484] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 03/30/2022] [Indexed: 11/24/2022] Open
Abstract
The pupillary light response is an important automatic physiological response which optimizes light reaching the retina. Recent work has shown that the pupil also adjusts in response to illusory brightness and a range of cognitive functions, however, it remains unclear what exactly drives these endogenous changes. Here, we show that the imagery pupillary light response correlates with objective measures of sensory imagery strength. Further, the trial-by-trial phenomenological vividness of visual imagery is tracked by the imagery pupillary light response. We also demonstrated that a group of individuals without visual imagery (aphantasia) do not show any significant evidence of an imagery pupillary light response, however they do show perceptual pupil light responses and pupil dilation with larger cognitive load. Our results provide evidence that the pupillary light response indexes the sensory strength of visual imagery. This work also provides the first physiological validation of aphantasia.
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Affiliation(s)
- Lachlan Kay
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Rebecca Keogh
- School of Psychological Sciences, Macquarie University, Sydney, Australia
| | - Thomas Andrillon
- Institut du Cerveau - Paris Brain Institute, Sorbonne Université, Paris, France
| | - Joel Pearson
- School of Psychology, University of New South Wales, Sydney, Australia
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15
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Vignando M, Ffytche D, Lewis SJG, Lee PH, Chung SJ, Weil RS, Hu MT, Mackay CE, Griffanti L, Pins D, Dujardin K, Jardri R, Taylor JP, Firbank M, McAlonan G, Mak HKF, Ho SL, Mehta MA. Mapping brain structural differences and neuroreceptor correlates in Parkinson's disease visual hallucinations. Nat Commun 2022; 13:519. [PMID: 35082285 PMCID: PMC8791961 DOI: 10.1038/s41467-022-28087-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 12/14/2021] [Indexed: 12/16/2022] Open
Abstract
Parkinson's psychosis (PDP) describes a spectrum of symptoms that may arise in Parkinson's disease (PD) including visual hallucinations (VH). Imaging studies investigating the neural correlates of PDP have been inconsistent in their findings, due to differences in study design and limitations of scale. Here we use empirical Bayes harmonisation to pool together structural imaging data from multiple research groups into a large-scale mega-analysis, allowing us to identify cortical regions and networks involved in VH and their relation to receptor binding. Differences of morphometrics analysed show a wider cortical involvement underlying VH than previously recognised, including primary visual cortex and surrounding regions, and the hippocampus, independent of its role in cognitive decline. Structural covariance analyses point to the involvement of the attentional control networks in PD-VH, while associations with receptor density maps suggest neurotransmitter loss may be linked to the cortical changes.
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Affiliation(s)
- Miriam Vignando
- Department of Neuroimaging, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK.
| | - Dominic Ffytche
- Department of Old Age Psychiatry, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Simon J G Lewis
- ForeFront Parkinson's Disease Research Clinic, Brain and Mind Centre, School of Medical Sciences, University of Sydney, Camperdown, NSW, Australia
| | - Phil Hyu Lee
- Yonsei University College of Medicine, Seoul, South Korea
| | | | - Rimona S Weil
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1M 3BG, UK
- Wellcome Centre for Neuroimaging, University College London, London, UK
| | - Michele T Hu
- Oxford Parkinson's Disease Centre, Oxford, UK
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Clare E Mackay
- Oxford Parkinson's Disease Centre, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, Department of Psychiatry, University of Oxford, Oxford, UK
| | - Ludovica Griffanti
- Oxford Parkinson's Disease Centre, Oxford, UK
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, Department of Psychiatry, University of Oxford, Oxford, UK
| | - Delphine Pins
- Univ. Lille, Inserm, CHU Lille, U1172 - Centre Lille Neuroscience & Cognition, 59000, Lille, France
| | - Kathy Dujardin
- Univ. Lille, Inserm, CHU Lille, U1172 - Centre Lille Neuroscience & Cognition, 59000, Lille, France
| | - Renaud Jardri
- Univ. Lille, Inserm, CHU Lille, U1172 - Centre Lille Neuroscience & Cognition, 59000, Lille, France
| | - John-Paul Taylor
- Newcastle University, Translational and Clinical Research Institute, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle Upon Tyne, NE4 5PL, UK
| | - Michael Firbank
- Newcastle University, Translational and Clinical Research Institute, Biomedical Research Building, Campus for Ageing and Vitality, Newcastle Upon Tyne, NE4 5PL, UK
| | - Grainne McAlonan
- King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Henry K F Mak
- Division of Neurology, Dept of Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Shu Leong Ho
- Division of Neurology, Dept of Medicine, LKS Faculty of Medicine, University of Hong Kong, Hong Kong, Hong Kong
| | - Mitul A Mehta
- Department of Neuroimaging, King's College London, Institute of Psychiatry, Psychology and Neuroscience, De Crespigny Park, London, SE5 8AF, UK
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16
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Individual differences in mental imagery in different modalities and levels of intentionality. Mem Cognit 2021; 50:29-44. [PMID: 34462893 PMCID: PMC8763825 DOI: 10.3758/s13421-021-01209-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/11/2021] [Indexed: 11/08/2022]
Abstract
Mental imagery is a highly common component of everyday cognitive functioning. While substantial progress is being made in clarifying this fundamental human function, much is still unclear or unknown. A more comprehensive account of mental imagery aspects would be gained by examining individual differences in age, sex, and background experience in an activity and their association with imagery in different modalities and intentionality levels. The current online study combined multiple imagery self-report measures in a sample (n = 279) with a substantial age range (18-65 years), aiming to identify whether age, sex, or background experience in sports, music, or video games were associated with aspects of imagery in the visual, auditory, or motor stimulus modality and voluntary or involuntary intentionality level. The findings show weak positive associations between age and increased vividness of voluntary auditory imagery and decreased involuntary musical imagery frequency, weak associations between being female and more vivid visual imagery, and relations of greater music and video game experience with higher involuntary musical imagery frequency. Moreover, all imagery stimulus modalities were associated with each other, for both intentionality levels, except involuntary musical imagery frequency, which was only related to higher voluntary auditory imagery vividness. These results replicate previous research but also contribute new insights, showing that individual differences in age, sex, and background experience are associated with various aspects of imagery such as modality, intentionality, vividness, and frequency. The study's findings can inform the growing domain of applications of mental imagery to clinical and pedagogical settings.
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17
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Zhong M, Wu Z, Jiang X, Shen B, Zhu J, Zhang L. Knowledge domain and emerging trends in visual hallucination research: A scientometric analysis. World J Psychiatry 2021; 11:491-506. [PMID: 34513610 PMCID: PMC8394690 DOI: 10.5498/wjp.v11.i8.491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 03/29/2021] [Accepted: 07/05/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Visual hallucination (VH) refers to a spontaneous visual perception without corresponding external stimuli and often occurs in ophthalmological and neuropsychiatric disorders. It is associated with poor quality of life, and increased patient hospitalization and nursing home admission. To date, a scientometric analysis of research on VH is lacking.
AIM To objectively summarize the features of VH research and gain insights into the emerging trends in research on VH.
METHODS CiteSpace V was used in this article. Publication outputs, document types, geographic distributions, co-authorship status, research hotspots, and co-citation status were analyzed. A total of 2176 original articles and 465 reviews were included in the database downloaded from the Web of Science Core Collection. We selected the top 50 most cited or occurring articles or items to create a visualized network with a 1-year interval. In the document co-citation analysis stage, we performed clustering analysis on co-cited references, and log likelihood tests were used to name the clusters.
RESULTS The results showed that most publications can be classified into neurology, sports, and ophthalmology studies. In addition, North America, Europe, Asia and Australia published the most documents. Some well-known authors have always had a leading role in this field; meanwhile, new authors keep emerging. A relatively stable cooperation has been formed among many authors. Furthermore, neuropsychiatric symptom and functional connectivity are the top hotspots. Research on VH in dementia with Lewy bodies and Parkinson’s disease (PD) have received much attention. Studies on VH in PD are likely to be the new emerging trends in the future, especially the mechanisms of VH.
CONCLUSION Research on VH has formed a complete system. More large-scale clinical and in-depth basic research are required to better understand the mechanisms underlying VH, which will contribute to our understanding of the pathophysiology and therapeutic options for VH.
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Affiliation(s)
- Min Zhong
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Zhuang Wu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Xu Jiang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Bo Shen
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Jun Zhu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Li Zhang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
- Institute of Neuropsychiatric Diseases, Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
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18
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Bernasconi F, Blondiaux E, Potheegadoo J, Stripeikyte G, Pagonabarraga J, Bejr-Kasem H, Bassolino M, Akselrod M, Martinez-Horta S, Sampedro F, Hara M, Horvath J, Franza M, Konik S, Bereau M, Ghika JA, Burkhard PR, Van De Ville D, Faivre N, Rognini G, Krack P, Kulisevsky J, Blanke O. Robot-induced hallucinations in Parkinson's disease depend on altered sensorimotor processing in fronto-temporal network. Sci Transl Med 2021; 13:13/591/eabc8362. [PMID: 33910980 DOI: 10.1126/scitranslmed.abc8362] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 08/18/2020] [Accepted: 01/23/2021] [Indexed: 01/23/2023]
Abstract
Hallucinations in Parkinson's disease (PD) are disturbing and frequent non-motor symptoms and constitute a major risk factor for psychosis and dementia. We report a robotics-based approach applying conflicting sensorimotor stimulation, enabling the induction of presence hallucinations (PHs) and the characterization of a subgroup of patients with PD with enhanced sensitivity for conflicting sensorimotor stimulation and robot-induced PH. We next identify the fronto-temporal network of PH by combining MR-compatible robotics (and sensorimotor stimulation in healthy participants) and lesion network mapping (neurological patients without PD). This PH-network was selectively disrupted in an additional and independent cohort of patients with PD, predicted the presence of symptomatic PH, and associated with cognitive decline. These robotics-neuroimaging findings extend existing sensorimotor hallucination models to PD and reveal the pathological cortical sensorimotor processes of PH in PD, potentially indicating a more severe form of PD that has been associated with psychosis and cognitive decline.
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Affiliation(s)
- Fosco Bernasconi
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland
| | - Eva Blondiaux
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland
| | - Jevita Potheegadoo
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland
| | - Giedre Stripeikyte
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland
| | - Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, 08041 Barcelona, Spain.,Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain.,Biomedical Research Institute (IIB-Sant Pau), 08041 Barcelona, Spain
| | - Helena Bejr-Kasem
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, 08041 Barcelona, Spain.,Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain.,Biomedical Research Institute (IIB-Sant Pau), 08041 Barcelona, Spain
| | - Michela Bassolino
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland
| | - Michel Akselrod
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland.,MySpace Lab, Lausanne University UNIL and University Hospital of Lausanne, CHUV, 1011 Lausanne, Switzerland
| | - Saul Martinez-Horta
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, 08041 Barcelona, Spain.,Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain.,Biomedical Research Institute (IIB-Sant Pau), 08041 Barcelona, Spain
| | - Frederic Sampedro
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, 08041 Barcelona, Spain.,Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain.,Biomedical Research Institute (IIB-Sant Pau), 08041 Barcelona, Spain
| | - Masayuki Hara
- Graduate School of Science and Engineering, Saitama University, 338-8570 Saitama, Japan
| | - Judit Horvath
- Department of Neurology, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Matteo Franza
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland
| | - Stéphanie Konik
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland.,MySpace Lab, Lausanne University UNIL and University Hospital of Lausanne, CHUV, 1011 Lausanne, Switzerland
| | - Matthieu Bereau
- Department of Neurology, Geneva University Hospitals, 1205 Geneva, Switzerland.,Department of Neurology, Besançon University Hospital, 25056 Besançon, France
| | | | - Pierre R Burkhard
- Department of Neurology, Geneva University Hospitals, 1205 Geneva, Switzerland
| | - Dimitri Van De Ville
- Medical Image Processing Laboratory, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland.,Department of Radiology and Medical Informatics, University of Geneva, 1206 Geneva, Switzerland
| | - Nathan Faivre
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland.,Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LPNC, 38000 Grenoble, France
| | - Giulio Rognini
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland
| | - Paul Krack
- Department of Neurology, Inselspital, University Hospital and University of Bern, 3010 Bern, Switzerland
| | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, 08041 Barcelona, Spain. .,Universitat Autònoma de Barcelona (UAB), 08193 Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain.,Biomedical Research Institute (IIB-Sant Pau), 08041 Barcelona, Spain
| | - Olaf Blanke
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1202 Geneva, Switzerland. .,Department of Neurology, Geneva University Hospitals, 1205 Geneva, Switzerland
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19
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Salge JH, Pollmann S, Reeder RR. Anomalous visual experience is linked to perceptual uncertainty and visual imagery vividness. PSYCHOLOGICAL RESEARCH 2021; 85:1848-1865. [PMID: 32476064 PMCID: PMC8289756 DOI: 10.1007/s00426-020-01364-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 05/20/2020] [Indexed: 11/29/2022]
Abstract
An imbalance between top-down and bottom-up processing on perception (specifically, over-reliance on top-down processing) can lead to anomalous perception, such as illusions. One factor that may be involved in anomalous perception is visual mental imagery, which is the experience of "seeing" with the mind's eye. There are vast individual differences in self-reported imagery vividness, and more vivid imagery is linked to a more sensory-like experience. We, therefore, hypothesized that susceptibility to anomalous perception is linked to individual imagery vividness. To investigate this, we adopted a paradigm that is known to elicit the perception of faces in pure visual noise (pareidolia). In four experiments, we explored how imagery vividness contributes to this experience under different response instructions and environments. We found strong evidence that people with more vivid imagery were more likely to see faces in the noise, although removing suggestive instructions weakened this relationship. Analyses from the first two experiments led us to explore confidence as another factor in pareidolia proneness. We, therefore, modulated environment noise and added a confidence rating in a novel design. We found strong evidence that pareidolia proneness is correlated with uncertainty about real percepts. Decreasing perceptual ambiguity abolished the relationship between pareidolia proneness and both imagery vividness and confidence. The results cannot be explained by incidental face-like patterns in the noise, individual variations in response bias, perceptual sensitivity, subjective perceptual thresholds, viewing distance, testing environments, motivation, gender, or prosopagnosia. This indicates a critical role of mental imagery vividness and perceptual uncertainty in anomalous perceptual experience.
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Affiliation(s)
- Johannes H Salge
- Department of Experimental Psychology, Institute of Psychology, Otto-Von-Guericke University, Magdeburg, Germany
| | - Stefan Pollmann
- Department of Experimental Psychology, Institute of Psychology, Otto-Von-Guericke University, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Magdeburg, Germany
- Beijing Key Laboratory of Learning and Cognition and School of Psychology, Capital Normal University, Beijing, China
| | - Reshanne R Reeder
- Department of Experimental Psychology, Institute of Psychology, Otto-Von-Guericke University, Magdeburg, Germany.
- Center for Behavioral Brain Sciences, Magdeburg, Germany.
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20
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Königsmark VT, Bergmann J, Reeder RR. The Ganzflicker experience: High probability of seeing vivid and complex pseudo-hallucinations with imagery but not aphantasia. Cortex 2021; 141:522-534. [PMID: 34172274 DOI: 10.1016/j.cortex.2021.05.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Revised: 02/02/2021] [Accepted: 05/09/2021] [Indexed: 02/07/2023]
Abstract
There are considerable individual differences in visual mental imagery ability across the general population, including a "blind mind's eye", or aphantasia. Recent studies have shown that imagery is linked to differences in perception in the healthy population, and clinical work has found a connection between imagery and hallucinatory experiences in neurological disorders. However, whether imagery ability is associated with anomalous perception-including hallucinations-in the general population remains unclear. In the current study, we explored the relationship between imagery ability and the anomalous perception of pseudo-hallucinations (PH) using rhythmic flicker stimulation ("Ganzflicker"). Specifically, we investigated whether the ability to generate voluntary imagery is associated with susceptibility to flicker-induced PH. We additionally explored individual differences in observed features of PH. We recruited a sample of people with aphantasia (aphants) and imagery (imagers) to view a constant red-and-black flicker for approximately 10 min. We found that imagers were more susceptible to PH, and saw more complex and vivid PH, compared to aphants. This study provides the first evidence that the ability to generate visual imagery increases the likelihood of experiencing complex and vivid anomalous percepts.
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Affiliation(s)
- Varg T Königsmark
- Institute of Psychology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Johanna Bergmann
- Department of Psychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Reshanne R Reeder
- Institute of Psychology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany; Center for Behavioral Brain Sciences, Magdeburg, Germany; Department of Psychology, Edge Hill University, Ormskirk, UK.
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21
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Dijkstra N, Mazor M, Kok P, Fleming S. Mistaking imagination for reality: Congruent mental imagery leads to more liberal perceptual detection. Cognition 2021; 212:104719. [PMID: 33878636 PMCID: PMC8164160 DOI: 10.1016/j.cognition.2021.104719] [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: 09/23/2020] [Revised: 03/31/2021] [Accepted: 03/31/2021] [Indexed: 10/25/2022]
Abstract
Visual experiences can be triggered externally, by signals coming from the outside world during perception; or internally, by signals from memory during mental imagery. Imagery and perception activate similar neural codes in sensory areas, suggesting that they might sometimes be confused. In the current study, we investigated whether imagery influences perception by instructing participants to imagine gratings while externally detecting these same gratings at threshold. In a series of three experiments, we showed that imagery led to a more liberal criterion for reporting stimulus presence, and that this effect was both independent of expectation and stimulus-specific. Furthermore, participants with more vivid imagery were generally more likely to report the presence of external stimuli, independent of condition. The results can be explained as either a low-level sensory or a high-level decision-making effect. We discuss that the most likely explanation is that during imagery, internally generated sensory signals are sometimes confused for perception and suggest how the underlying mechanisms can be further characterized in future research. Our findings show that imagery and perception interact and emphasize that internally and externally generated signals are combined in complex ways to determine conscious perception.
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Affiliation(s)
- Nadine Dijkstra
- Wellcome Centre for Human Neuroimaging, University College London, United Kingdom.
| | - Matan Mazor
- Wellcome Centre for Human Neuroimaging, University College London, United Kingdom
| | - Peter Kok
- Wellcome Centre for Human Neuroimaging, University College London, United Kingdom
| | - Stephen Fleming
- Wellcome Centre for Human Neuroimaging, University College London, United Kingdom; Max Planck UCL Centre for Computational Psychiatry and Aging Research, University College London, United Kingdom; Department of Experimental Psychology, University College London, United Kingdom
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22
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Wicken M, Keogh R, Pearson J. The critical role of mental imagery in human emotion: insights from fear-based imagery and aphantasia. Proc Biol Sci 2021; 288:20210267. [PMID: 33715433 PMCID: PMC7944105 DOI: 10.1098/rspb.2021.0267] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 02/11/2021] [Indexed: 01/10/2023] Open
Abstract
One proposed function of imagery is to make thoughts more emotionally evocative through sensory simulation, which can be helpful both in planning for future events and in remembering the past, but also a hindrance when thoughts become overwhelming and maladaptive, such as in anxiety disorders. Here, we report a novel test of this theory using a special population with no visual imagery: aphantasia. After using multi-method verification of aphantasia, we show that this condition, but not the general population, is associated with a flat-line physiological response (skin conductance levels) to reading and imagining frightening stories. Importantly, we show in a second experiment that this difference in physiological responses to fear-inducing stimuli is not found when perceptually viewing fearful images. These data demonstrate that the aphantasic individuals' lack of a physiological response when imaging scenarios is likely to be driven by their inability to visualize and is not due to a general emotional or physiological dampening. This work provides evidence that a lack of visual imagery results in a dampened emotional response when reading fearful scenarios, providing evidence for the emotional amplification theory of visual imagery.
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Affiliation(s)
- Marcus Wicken
- School of Psychology, The University of New South Wales, Sydney, New South Wales, Australia
| | - Rebecca Keogh
- School of Psychology, The University of New South Wales, Sydney, New South Wales, Australia
| | - Joel Pearson
- School of Psychology, The University of New South Wales, Sydney, New South Wales, Australia
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23
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Koenig-Robert R, Pearson J. Why do imagery and perception look and feel so different? Philos Trans R Soc Lond B Biol Sci 2021; 376:20190703. [PMID: 33308061 PMCID: PMC7741076 DOI: 10.1098/rstb.2019.0703] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2020] [Indexed: 12/16/2022] Open
Abstract
Despite the past few decades of research providing convincing evidence of the similarities in function and neural mechanisms between imagery and perception, for most of us, the experience of the two are undeniably different, why? Here, we review and discuss the differences between imagery and perception and the possible underlying causes of these differences, from function to neural mechanisms. Specifically, we discuss the directional flow of information (top-down versus bottom-up), the differences in targeted cortical layers in primary visual cortex and possible different neural mechanisms of modulation versus excitation. For the first time in history, neuroscience is beginning to shed light on this long-held mystery of why imagery and perception look and feel so different. This article is part of the theme issue 'Offline perception: voluntary and spontaneous perceptual experiences without matching external stimulation'.
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Affiliation(s)
| | - Joel Pearson
- School of Psychology, The University of New South Wales, Sydney, Australia
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24
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Rogers S, Keogh R, Pearson J. Hallucinations on demand: the utility of experimentally induced phenomena in hallucination research. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200233. [PMID: 33308076 PMCID: PMC7741072 DOI: 10.1098/rstb.2020.0233] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/01/2020] [Indexed: 01/20/2023] Open
Abstract
Despite the desire to delve deeper into hallucinations of all types, methodological obstacles have frustrated development of more rigorous quantitative experimental techniques, thereby hampering research progress. Here, we discuss these obstacles and, with reference to visual phenomena, argue that experimentally induced phenomena (e.g. hallucinations induced by flickering light and classical conditioning) can bring hallucinations within reach of more objective behavioural and neural measurement. Expanding the scope of hallucination research raises questions about which phenomena qualify as hallucinations, and how to identify phenomena suitable for use as laboratory models of hallucination. Due to the ambiguity inherent in current hallucination definitions, we suggest that the utility of phenomena for use as laboratory hallucination models should be represented on a continuous spectrum, where suitability varies with the degree to which external sensory information constrains conscious experience. We suggest that existing strategies that group pathological hallucinations into meaningful subtypes based on hallucination characteristics (including phenomenology, disorder and neural activity) can guide extrapolation from hallucination models to other hallucinatory phenomena. Using a spectrum of phenomena to guide scientific hallucination research should help unite the historically separate fields of psychophysics, cognitive neuroscience and clinical research to better understand and treat hallucinations, and inform models of consciousness. This article is part of the theme issue 'Offline perception: voluntary and spontaneous perceptual experiences without matching external stimulation'.
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Affiliation(s)
| | | | - Joel Pearson
- School of Psychology, The University of New South Wales, Sydney, Australia
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25
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Silverstein SM, Lai A. The Phenomenology and Neurobiology of Visual Distortions and Hallucinations in Schizophrenia: An Update. Front Psychiatry 2021; 12:684720. [PMID: 34177665 PMCID: PMC8226016 DOI: 10.3389/fpsyt.2021.684720] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 05/14/2021] [Indexed: 12/15/2022] Open
Abstract
Schizophrenia is characterized by visual distortions in ~60% of cases, and visual hallucinations (VH) in ~25-50% of cases, depending on the sample. These symptoms have received relatively little attention in the literature, perhaps due to the higher rate of auditory vs. visual hallucinations in psychotic disorders, which is the reverse of what is found in other neuropsychiatric conditions. Given the clinical significance of these perceptual disturbances, our aim is to help address this gap by updating and expanding upon prior reviews. Specifically, we: (1) present findings on the nature and frequency of VH and distortions in schizophrenia; (2) review proposed syndromes of VH in neuro-ophthalmology and neuropsychiatry, and discuss the extent to which these characterize VH in schizophrenia; (3) review potential cortical mechanisms of VH in schizophrenia; (4) review retinal changes that could contribute to VH in schizophrenia; (5) discuss relationships between findings from laboratory measures of visual processing and VH in schizophrenia; and (6) integrate findings across biological and psychological levels to propose an updated model of VH mechanisms, including how their content is determined, and how they may reflect vulnerabilities in the maintenance of a sense of self. In particular, we emphasize the potential role of alterations at multiple points in the visual pathway, including the retina, the roles of multiple neurotransmitters, and the role of a combination of disinhibited default mode network activity and enhanced state-related apical/contextual drive in determining the onset and content of VH. In short, our goal is to cast a fresh light on the under-studied symptoms of VH and visual distortions in schizophrenia for the purposes of informing future work on mechanisms and the development of targeted therapeutic interventions.
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Affiliation(s)
- Steven M Silverstein
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, United States.,Department of Neuroscience, University of Rochester Medical Center, Rochester, NY, United States.,Department of Ophthalmology, University of Rochester Medical Center, Rochester, NY, United States.,Center for Visual Science, University of Rochester Medical Center, Rochester, NY, United States
| | - Adriann Lai
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, United States
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26
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Fazekas P. Hallucinations as intensified forms of mind-wandering. Philos Trans R Soc Lond B Biol Sci 2020; 376:20190700. [PMID: 33308066 DOI: 10.1098/rstb.2019.0700] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
This paper argues for a novel way of thinking about hallucinations as intensified forms of mind-wandering. Starting from the observation that hallucinations are associated with hyperactive sensory areas underlying the content of hallucinatory experiences and a confusion with regard to the reality of the source of these experiences, the paper first reviews the different factors that might contribute to the impairment of reality monitoring. The paper then focuses on the sensory characteristics determining the vividness of an experience, reviews their relationship to the sensory hyperactivity observed in hallucinations, and investigates under what circumstances they can drive reality judgements. Finally, based on these considerations, the paper presents its main proposal according to which hallucinations are intensified forms of mind-wandering that are amplified along their sensory characteristics, and sketches a possible model of what factors might determine if an internally and involuntarily generated perceptual representation is experienced as a hallucination or as an instance of mind-wandering. This article is part of the theme issue 'Offline perception: voluntary and spontaneous perceptual experiences without matching external stimulation'.
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Affiliation(s)
- Peter Fazekas
- Centre for Philosophical Psychology, Universiteit Antwerpen, Antwerpen, Belgium.,Cognitive Neuroscience Research Unit, Centre of Functionally Integrative Neuroscience, Aarhus Universitet, Aarhus, Denmark
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27
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Zarkali A, McColgan P, Ryten M, Reynolds R, Leyland LA, Lees AJ, Rees G, Weil RS. Differences in network controllability and regional gene expression underlie hallucinations in Parkinson's disease. Brain 2020; 143:3435-3448. [PMID: 33118028 PMCID: PMC7719028 DOI: 10.1093/brain/awaa270] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 06/29/2020] [Accepted: 07/02/2020] [Indexed: 12/19/2022] Open
Abstract
Visual hallucinations are common in Parkinson's disease and are associated with poorer prognosis. Imaging studies show white matter loss and functional connectivity changes with Parkinson's visual hallucinations, but the biological factors underlying selective vulnerability of affected parts of the brain network are unknown. Recent models for Parkinson's disease hallucinations suggest they arise due to a shift in the relative effects of different networks. Understanding how structural connectivity affects the interplay between networks will provide important mechanistic insights. To address this, we investigated the structural connectivity changes that accompany visual hallucinations in Parkinson's disease and the organizational and gene expression characteristics of the preferentially affected areas of the network. We performed diffusion-weighted imaging in 100 patients with Parkinson's disease (81 without hallucinations, 19 with visual hallucinations) and 34 healthy age-matched controls. We used network-based statistics to identify changes in structural connectivity in Parkinson's disease patients with hallucinations and performed an analysis of controllability, an emerging technique that allows quantification of the influence a brain region has across the rest of the network. Using these techniques, we identified a subnetwork of reduced connectivity in Parkinson's disease hallucinations. We then used the Allen Institute for Brain Sciences human transcriptome atlas to identify regional gene expression patterns associated with affected areas of the network. Within this network, Parkinson's disease patients with hallucinations showed reduced controllability (less influence over other brain regions), than Parkinson's disease patients without hallucinations and controls. This subnetwork appears to be critical for overall brain integration, as even in controls, nodes with high controllability were more likely to be within the subnetwork. Gene expression analysis of gene modules related to the affected subnetwork revealed that down-weighted genes were most significantly enriched in genes related to mRNA and chromosome metabolic processes (with enrichment in oligodendrocytes) and upweighted genes to protein localization (with enrichment in neuronal cells). Our findings provide insights into how hallucinations are generated, with breakdown of a key structural subnetwork that exerts control across distributed brain regions. Expression of genes related to mRNA metabolism and membrane localization may be implicated, providing potential therapeutic targets.
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Affiliation(s)
- Angeliki Zarkali
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Peter McColgan
- Huntington’s Disease Centre, University College London, Russell Square House, London, WC1B 5EH, UK
| | - Mina Ryten
- Department of Neurodegenerative Disease, UCL Institute of Neurology, 10-12 Russell Square House, London, UK
| | - Regina Reynolds
- Department of Neurodegenerative Disease, UCL Institute of Neurology, 10-12 Russell Square House, London, UK
| | - Louise-Ann Leyland
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Andrew J Lees
- Reta Lila Weston Institute of Neurological Studies, 1 Wakefield Street, London, WC1N 1PJ, UK
| | - Geraint Rees
- Institute of Cognitive Neuroscience, University College London, 17-19 Queen Square, London, WC1N 3AR, UK
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N 3AR, UK
| | - Rimona S 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 Consortium, University College London, London WC1N 3BG, UK
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28
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Zeman A, Milton F, Della Sala S, Dewar M, Frayling T, Gaddum J, Hattersley A, Heuerman-Williamson B, Jones K, MacKisack M, Winlove C. Phantasia–The psychological significance of lifelong visual imagery vividness extremes. Cortex 2020; 130:426-440. [DOI: 10.1016/j.cortex.2020.04.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 04/01/2020] [Accepted: 04/01/2020] [Indexed: 12/21/2022]
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29
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Montagnese M, Leptourgos P, Fernyhough C, Waters F, Larøi F, Jardri R, McCarthy-Jones S, Thomas N, Dudley R, Taylor JP, Collerton D, Urwyler P. A Review of Multimodal Hallucinations: Categorization, Assessment, Theoretical Perspectives, and Clinical Recommendations. Schizophr Bull 2020; 47:237-248. [PMID: 32772114 PMCID: PMC7825001 DOI: 10.1093/schbul/sbaa101] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Hallucinations can occur in different sensory modalities, both simultaneously and serially in time. They have typically been studied in clinical populations as phenomena occurring in a single sensory modality. Hallucinatory experiences occurring in multiple sensory systems-multimodal hallucinations (MMHs)-are more prevalent than previously thought and may have greater adverse impact than unimodal ones, but they remain relatively underresearched. Here, we review and discuss: (1) the definition and categorization of both serial and simultaneous MMHs, (2) available assessment tools and how they can be improved, and (3) the explanatory power that current hallucination theories have for MMHs. Overall, we suggest that current models need to be updated or developed to account for MMHs and to inform research into the underlying processes of such hallucinatory phenomena. We make recommendations for future research and for clinical practice, including the need for service user involvement and for better assessment tools that can reliably measure MMHs and distinguish them from other related phenomena.
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Affiliation(s)
- Marcella Montagnese
- Neuroimaging Department, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Pantelis Leptourgos
- Department of Psychiatry, Connecticut Mental Health Center, Yale University, New Haven, CT
| | | | - Flavie Waters
- School of Psychological Sciences, The University of Western Australia, Perth, Australia
| | - Frank Larøi
- Department of Biological and Medical Psychology, Faculty of Psychology, University of Bergen, Bergen, Norway,Psychology and Neuroscience of Cognition Research Unit, University of Liège, Liège, Belgium,Norwegian Center of Excellence for Mental Disorders Research, University of Oslo, Oslo, Norway
| | - Renaud Jardri
- University of Lille, INSERM U1172, CHU Lille, Centre Lille Neuroscience and Cognition, Lille, France,Laboratoire de Neurosciences Cognitives et Computationnelles, ENS, INSERM U960, PSL Research University, Paris, France
| | | | - Neil Thomas
- Centre for Mental Health, Swinburne University of Technology, Melbourne, Australia,The Alfred Hospital, Melbourne, Australia
| | - Rob Dudley
- Gateshead Early Intervention in Psychosis Service, Northumberland, Tyne and Wear NHS, Newcastle upon Tyne, UK,School of Psychology, Newcastle University, Newcastle upon Tyne, UK
| | - John-Paul Taylor
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Daniel Collerton
- School of Psychology, Newcastle University, Newcastle upon Tyne, UK
| | - Prabitha Urwyler
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK,Gerontechnology and Rehabilitation, ARTORG Center for Biomedical Engineering, University of Bern, Bern, Switzerland,Department of Neurology, University Neurorehabilitation Unit, University Hospital Bern—Inselspital, Bern, Switzerland,To whom correspondence should be addressed; tel: +41 31 632 76 07, fax: +41 31 632 75 76, e-mail:
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30
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Fazekas P, Nemeth G, Overgaard M. Perceptual Representations and the Vividness of Stimulus-Triggered and Stimulus-Independent Experiences. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2020; 15:1200-1213. [PMID: 32673147 DOI: 10.1177/1745691620924039] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
In recent years, researchers from independent subfields have begun to engage with the idea that the same cortical regions that contribute to on-line perception are recruited during and underlie off-line activities such as information maintenance in working memory, mental imagery, hallucinations, dreaming, and mind wandering. Accumulating evidence suggests that in all of these cases the activity of posterior brain regions provides the contents of experiences. This article is intended to move one step further by exploring specific links between the vividness of experiences, which is a characteristic feature of consciousness regardless of its actual content, and certain properties of the content-specific neural-activity patterns. Investigating the mechanisms that underlie mental imagery and its relation to working memory and the processes responsible for mind wandering and its similarities to dreaming form two clusters of research that are in the forefront of the recent scientific study of mental phenomena, yet communication between these two clusters has been surprisingly sparse. Here our aim is to foster such information exchange by articulating a hypothesis about the fine-grained phenomenological structure determining subjective vividness and its possible neural basis that allows us to shed new light on these mental phenomena by bringing them under a common framework.
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Affiliation(s)
- Peter Fazekas
- Centre for Philosophical Psychology, University of Antwerp.,Cognitive Neuroscience Research Unit, Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University
| | - Georgina Nemeth
- Cognitive Neuroscience Research Unit, Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University
| | - Morten Overgaard
- Cognitive Neuroscience Research Unit, Center of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University
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31
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A cognitive profile of multi-sensory imagery, memory and dreaming in aphantasia. Sci Rep 2020; 10:10022. [PMID: 32572039 PMCID: PMC7308278 DOI: 10.1038/s41598-020-65705-7] [Citation(s) in RCA: 79] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2019] [Accepted: 05/06/2020] [Indexed: 02/05/2023] Open
Abstract
For most people, visual imagery is an innate feature of many of our internal experiences, and appears to play a critical role in supporting core cognitive processes. Some individuals, however, lack the ability to voluntarily generate visual imagery altogether - a condition termed "aphantasia". Recent research suggests that aphantasia is a condition defined by the absence of visual imagery, rather than a lack of metacognitive awareness of internal visual imagery. Here we further illustrate a cognitive "fingerprint" of aphantasia, demonstrating that compared to control participants with imagery ability, aphantasic individuals report decreased imagery in other sensory domains, although not all report a complete lack of multi-sensory imagery. They also report less vivid and phenomenologically rich autobiographical memories and imagined future scenarios, suggesting a constructive role for visual imagery in representing episodic events. Interestingly, aphantasic individuals report fewer and qualitatively impoverished dreams compared to controls. However, spatial abilities appear unaffected, and aphantasic individuals do not appear to be considerably protected against all forms of trauma symptomatology in response to stressful life events. Collectively, these data suggest that imagery may be a normative representational tool for wider cognitive processes, highlighting the large inter-individual variability that characterises our internal mental representations.
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32
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Keogh R, Bergmann J, Pearson J. Cortical excitability controls the strength of mental imagery. eLife 2020; 9:50232. [PMID: 32369016 PMCID: PMC7200162 DOI: 10.7554/elife.50232] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 04/09/2020] [Indexed: 11/13/2022] Open
Abstract
Mental imagery provides an essential simulation tool for remembering the past and planning the future, with its strength affecting both cognition and mental health. Research suggests that neural activity spanning prefrontal, parietal, temporal, and visual areas supports the generation of mental images. Exactly how this network controls the strength of visual imagery remains unknown. Here, brain imaging and transcranial magnetic phosphene data show that lower resting activity and excitability levels in early visual cortex (V1-V3) predict stronger sensory imagery. Further, electrically decreasing visual cortex excitability using tDCS increases imagery strength, demonstrating a causative role of visual cortex excitability in controlling visual imagery. Together, these data suggest a neurophysiological mechanism of cortical excitability involved in controlling the strength of mental images.
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Affiliation(s)
- Rebecca Keogh
- School of Psychology, University of New South Wales, Sydney, Australia
| | - Johanna Bergmann
- School of Psychology, University of New South Wales, Sydney, Australia.,Department of Neurophysiology, Max Planck Institute for Brain Research, Frankfurt, Germany.,Brain Imaging Center Frankfurt, Goethe-University Frankfurt, Frankfurt, Germany
| | - Joel Pearson
- School of Psychology, University of New South Wales, Sydney, Australia
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Revina Y, Maus GW. Stronger perceptual filling-in of spatiotemporal information in the blind spot compared with artificial gaps. J Vis 2020; 20:20. [PMID: 32343777 PMCID: PMC7405704 DOI: 10.1167/jov.20.4.20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Complete visual information about a scene and the objects within it is often not available to us. For example, objects may be partly occluded by other objects or have sections missing. In the retinal blind spot, there are no photoreceptors and visual input is not detected. However, owing to perceptual filling-in by the visual system we often do not perceive these gaps. There is a lack of consensus on how much of the mechanism for perceptual filling-in is similar in the case of a natural scotoma, such as the blind spot, and artificial scotomata, such as sections of the stimulus being physically removed. Part of the difficulty in assessing this relationship arises from a lack of direct comparisons between the two cases, with artificial scotomata being tested in different locations in the visual field compared with the blind spot. The peripheral location of the blind spot may explain its enhanced filling-in compared with artificial scotomata, as reported in previous studies. In the present study, we directly compared perceptual filling-in of spatiotemporal information in the blind spot and artificial gaps of the same size and eccentricity. We found stronger perceptual filling-in in the blind spot, suggesting improved filling-in for the blind spot reported in previous studies cannot be simply attributed to its peripheral location.
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34
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Walpola IC, Muller AJ, Hall JM, Andrews-Hanna JR, Irish M, Lewis SJ, Shine JM, O'Callaghan C. Mind-wandering in Parkinson's disease hallucinations reflects primary visual and default network coupling. Cortex 2020; 125:233-245. [DOI: 10.1016/j.cortex.2019.12.023] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 09/26/2019] [Accepted: 12/22/2019] [Indexed: 11/25/2022]
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Todo M. Towards the interpretation of complex visual hallucinations in terms of self-reorganization of neural networks. Neurosci Res 2020; 156:147-158. [PMID: 32112785 DOI: 10.1016/j.neures.2020.02.009] [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: 08/23/2019] [Revised: 10/25/2019] [Accepted: 12/28/2019] [Indexed: 10/24/2022]
Abstract
Patients suffering from dementia with Lewy body (DLB) often see complex visual hallucinations (CVH). Despite many pathological, clinical, and neuroimaging studies, the mechanism of CVH remains unknown. One possible scenario is that top-down information is being used to compensate for the lack of bottom-up information. To investigate this possibility and understand the underlying mathematical structure of the CVH mechanism, we propose a simple computational model of synaptic plasticity with particular focus on the effect of selective damage to the bottom-up network on self-reorganization. We show neurons that undergo a change in activity from a bottom-up to a top-down network framework during the reorganization process, which can be understood in terms of state transitions. Assuming that the pre-reorganization representation of this neuron remains after reorganization, it is possible to interpret neural response induced by top-down information as the sensation of bottom-up information. This situation might correspond to a hallucinatory situation in DLB patients. Our results agree with existing experimental evidence and provide new insights into data that have hitherto not been experimentally validated on patients with DLB.
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Affiliation(s)
- Masato Todo
- Department of Mathematics, School of Science, Hokkaido University, Sapporo, Hokkaido, Japan.
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36
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Fernyhough C. Modality-general and modality-specific processes in hallucinations. Psychol Med 2019; 49:2639-2645. [PMID: 31530334 PMCID: PMC6877466 DOI: 10.1017/s0033291719002496] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Revised: 08/12/2019] [Accepted: 08/27/2019] [Indexed: 02/07/2023]
Abstract
There is a growing recognition in psychosis research of the importance of hallucinations in modalities other than the auditory. This has focused attention on cognitive and neural processes that might be shared by, and which might contribute distinctly to, hallucinations in different modalities. In this article, I address some issues around the modality-generality of cognitive and neural processes in hallucinations, including the role of perceptual and reality-monitoring systems, top-down and bottom-up processes in relation to the psychological and neural substrates of hallucinations, and the phenomenon of simultaneous multimodal hallucinations of the same entity. I suggest that a functional systems approach, inspired by some neglected aspects of the writings of A. R. Luria, can help us to understand patterns of hallucinatory experience across modalities and across clinical and non-clinical groups. Understanding the interplay between modality-general and modality-specific processes may bear fruit for improved diagnosis and therapeutic approaches to dealing with distressing hallucinations.
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Dijkstra N, Hinne M, Bosch SE, van Gerven MAJ. Between-subject variability in the influence of mental imagery on conscious perception. Sci Rep 2019; 9:15658. [PMID: 31666592 PMCID: PMC6821778 DOI: 10.1038/s41598-019-52072-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 10/08/2019] [Indexed: 11/24/2022] Open
Abstract
Mental imagery and visual perception rely on similar neural mechanisms, but the function of this overlap remains unclear. One idea is that imagery can influence perception. Previous research has shown that imagining a stimulus prior to binocular presentation of rivalling stimuli increases the chance of perceiving the imagined stimulus. In this study we investigated how this effect interacts with bottom-up sensory input by comparing psychometric response curves for congruent and incongruent imagery in humans. A Bayesian hierarchical model was used, allowing us to simultaneously study group-level effects as well as effects for individual participants. We found strong effects of both imagery as well as its interaction with sensory evidence within individual participants. However, the direction of these effects were highly variable between individuals, leading to weak effects at the group level. This highlights the heterogeneity of conscious perception and emphasizes the need for individualized investigation of such complex cognitive processes.
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Affiliation(s)
- N Dijkstra
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
| | - M Hinne
- University of Amsterdam, Amsterdam, The Netherlands
| | - S E Bosch
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - M A J van Gerven
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
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Abstract
In addition to motor symptoms, behavioural complications are commonly found in patients with Parkinson's disease (PD). Behavioural complications, including depression, anxiety, apathy, impulse control disorder and psychosis, together have a large impact on PD patient's quality of life. Many neuroimaging studies using PET, SPECT and MRI techniques have been conducted to study the underlying neural mechanisms of PD pathogenesis and pathophysiology in relation to its behavioural complications. This review will survey these PET, SPECT and MRI studies to describe the current understanding of the neuro-chemical, functional and structural changes associated with behavioural complications in PD patients.
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Pearson J. The human imagination: the cognitive neuroscience of visual mental imagery. Nat Rev Neurosci 2019; 20:624-634. [DOI: 10.1038/s41583-019-0202-9] [Citation(s) in RCA: 181] [Impact Index Per Article: 36.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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40
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El Haj M, Badcock JC, Jardri R, Larøi F, Roche J, Sommer IE, Gallouj K. A look into hallucinations: the relationship between visual imagery and hallucinations in Alzheimer's disease. Cogn Neuropsychiatry 2019; 24:275-283. [PMID: 31213139 DOI: 10.1080/13546805.2019.1632180] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Introduction: We investigated the relationship between visual hallucinations and vividness of visual imagery in patients with Alzheimer's disease (AD). Method: We recruited 28 patients with AD and 30 healthy control participants, matched for age and education. We evaluated proneness towards hallucinations with the Launay-Slade Hallucinations Scale, which includes items assessing visual and auditory hallucinations. We also evaluated vividness of visual imagery with the Vividness of Visual Imagery Questionnaire on which participants had to imagine four images (i.e., imagining the face of a friend, the rising sun, a familiar shop-front, and a country scene) and report the vividness of the images they generated. Results: Analysis demonstrated significant positive correlations between visual hallucinations and vividness of visual imagery in AD patients, however, no significant correlations were observed between auditory hallucinations and vividness of visual imagery in these participants. No significant correlations were observed between hallucinations and vividness of visual imagery in healthy control participants, probably due to the lack of hallucinations in these participants. Discussion: These results demonstrate a selective relationship between the occurrence of visual (but not auditory) hallucinations and the ability to generate vivid visual images in AD.
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Affiliation(s)
- Mohamad El Haj
- a Laboratoire de psychologie des Pays de la Loire, LPPL, Univ Nantes , Nantes , France.,b Centre Hospitalier de Tourcoing, Unité de Gériatrie , Tourcoing , France.,c Institut Universitaire de France , Paris , France
| | - Johanna C Badcock
- d School of Psychological Science, University of Western Australia , Crawley , Australia
| | - Renaud Jardri
- e UMR 9193 - SCALab - Sciences Cognitives et Sciences Affectives, Univ. Lille , Lille , France
| | - Frank Larøi
- f Department of Biological and Medical Psychology, University of Bergen (UiB) , Bergen , Norway.,g Psychology and Neurosciences of Cognition Research Unit, University of Liège , Liège , Belgium.,h NORMENT - Norwegian Center of Excellence for Mental Disorders Research, University of Oslo , Oslo , Norway
| | - Jean Roche
- i CHU de Lille, Unité de Psychogériatrie, Pôle de Gérontologie , Lille , France
| | - Iris E Sommer
- f Department of Biological and Medical Psychology, University of Bergen (UiB) , Bergen , Norway.,j Department of Neuroscience and Department of psychiatry, Rijks Universiteit Groningen (RUG), University medical Center Groningen (UMCG) , Netherlands
| | - Karim Gallouj
- b Centre Hospitalier de Tourcoing, Unité de Gériatrie , Tourcoing , France
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Bejr-Kasem H, Pagonabarraga J, Martínez-Horta S, Sampedro F, Marín-Lahoz J, Horta-Barba A, Aracil-Bolaños I, Pérez-Pérez J, Ángeles Botí M, Campolongo A, Izquierdo C, Pascual-Sedano B, Gómez-Ansón B, Kulisevsky J. Disruption of the default mode network and its intrinsic functional connectivity underlies minor hallucinations in Parkinson's disease. Mov Disord 2018; 34:78-86. [PMID: 30536829 DOI: 10.1002/mds.27557] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 09/27/2018] [Accepted: 10/23/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Minor hallucinations and well-structured hallucinations are considered in the severity continuum of the psychotic spectrum associated with Parkinson's disease. Although their chronological relationship is largely unknown, the spatial patterns of brain atrophy in these 2 forms of hallucinations partially overlap, suggesting they share similar pathophysiological processes. Functional connectivity studies show that disruption of functional networks involved in perception and attention could be relevant in the emergence of well-structured hallucinations. However, functional neuroimaging studies in patients with isolated minor hallucinations are lacking. The objectives of this study were to explore the structural and functional changes underlying minor hallucinations. METHODS We compared patients with (n = 18) and without (n = 14) minor hallucinations using a multimodal structural (gray-matter volume voxel-based morphometry) and functional (seed-to-whole-brain resting-state functional MRI) neuroimaging study. RESULTS Coincident with previously described structural changes in well-structured hallucinations in Parkinson's disease, patients with minor hallucinations exhibited gray-matter atrophy with significant voxel-wise differences in visuoperceptual processing areas and core regions of the default mode network. Functional connectivity changes consisted of altered connectivity within the default mode network, reduced negative correlation with task-positive network, and aberrant connectivity between posterior regions of the default mode network and visual-processing areas. These changes are in accordance with the attentional networks hypothesis proposed for well-structured hallucinations. CONCLUSIONS Although longitudinal studies are needed to assess the potential role of minor hallucinations as an early clinical biomarker of progression to well-structured hallucinations, the present findings show that the 2 phenomena share similar structural and functional brain correlates. © 2018 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Helena Bejr-Kasem
- 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.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - 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.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Saül Martínez-Horta
- 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.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Frederic Sampedro
- Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Juan Marín-Lahoz
- 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.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Andrea Horta-Barba
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Ignacio Aracil-Bolaños
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Jesús Pérez-Pérez
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - M Ángeles Botí
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Antonia Campolongo
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Cristina Izquierdo
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain.,Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Berta Pascual-Sedano
- 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.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
| | - Beatriz Gómez-Ansón
- Universitat Autònoma de Barcelona (U.A.B.), Barcelona, Spain.,Institut d'Investigacions Biomèdiques - Sant Pau (IIB-Sant Pau), Barcelona, Spain.,Neuroradiology Unit, Radiology Department, Sant Pau Hospital, Barcelona, 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.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain
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Fulford J, Milton F, Salas D, Smith A, Simler A, Winlove C, Zeman A. The neural correlates of visual imagery vividness – An fMRI study and literature review. Cortex 2018; 105:26-40. [DOI: 10.1016/j.cortex.2017.09.014] [Citation(s) in RCA: 70] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 08/11/2017] [Accepted: 09/13/2017] [Indexed: 11/15/2022]
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43
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The blind mind: No sensory visual imagery in aphantasia. Cortex 2017; 105:53-60. [PMID: 29175093 DOI: 10.1016/j.cortex.2017.10.012] [Citation(s) in RCA: 94] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Revised: 06/27/2017] [Accepted: 10/15/2017] [Indexed: 11/23/2022]
Abstract
For most people the use of visual imagery is pervasive in daily life, but for a small group of people the experience of visual imagery is entirely unknown. Research based on subjective phenomenology indicates that otherwise healthy people can completely lack the experience of visual imagery, a condition now referred to as aphantasia. As congenital aphantasia has thus far been based on subjective reports, it remains unclear whether individuals are really unable to imagine visually, or if they have very poor metacognition - they have images in their mind, but are blind to them. Here we measured sensory imagery in subjectively self-diagnosed aphantasics, using the binocular rivalry paradigm, as well as measuring their self-rated object and spatial imagery with multiple questionnaires (VVIQ, SUIS and OSIQ). Unlike, the general population, experimentally naive aphantasics showed almost no imagery-based rivalry priming. Aphantasic participants' self-rated visual object imagery was significantly below average, however their spatial imagery scores were above average. These data suggest that aphantasia is a condition involving a lack of sensory and phenomenal imagery, and not a lack of metacognition. The possible underlying neurological cause of aphantasia is discussed as well as future research directions.
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44
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Pezzoli S, Cagnin A, Bandmann O, Venneri A. Structural and Functional Neuroimaging of Visual Hallucinations in Lewy Body Disease: A Systematic Literature Review. Brain Sci 2017; 7:E84. [PMID: 28714891 PMCID: PMC5532597 DOI: 10.3390/brainsci7070084] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 06/27/2017] [Accepted: 07/09/2017] [Indexed: 01/01/2023] Open
Abstract
Patients with Lewy body disease (LBD) frequently experience visual hallucinations (VH), well-formed images perceived without the presence of real stimuli. The structural and functional brain mechanisms underlying VH in LBD are still unclear. The present review summarises the current literature on the neural correlates of VH in LBD, namely Parkinson's disease (PD), and dementia with Lewy bodies (DLB). Following a systematic literature search, 56 neuroimaging studies of VH in PD and DLB were critically reviewed and evaluated for quality assessment. The main structural neuroimaging results on VH in LBD revealed grey matter loss in frontal areas in patients with dementia, and parietal and occipito-temporal regions in PD without dementia. Parietal and temporal hypometabolism was also reported in hallucinating PD patients. Disrupted functional connectivity was detected especially in the default mode network and fronto-parietal regions. However, evidence on structural and functional connectivity is still limited and requires further investigation. The current literature is in line with integrative models of VH suggesting a role of attention and perception deficits in the development of VH. However, despite the close relationship between VH and cognitive impairment, its associations with brain structure and function have been explored only by a limited number of studies.
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Affiliation(s)
- Stefania Pezzoli
- Department of Neuroscience, University of Sheffield, Sheffield, S10 2RX, UK.
| | - Annachiara Cagnin
- Department of Neurosciences, University of Padua, 35128 Padua, Italy.
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Ospedale San Camillo, 30126 Venice, Italy.
| | - Oliver Bandmann
- Department of Neuroscience, University of Sheffield, Sheffield, S10 2RX, UK.
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Sheffield, S10 2RX, UK.
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45
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Remembering verbally-presented items as pictures: Brain activity underlying visual mental images in schizophrenia patients with visual hallucinations. Cortex 2017; 94:113-122. [PMID: 28746902 DOI: 10.1016/j.cortex.2017.06.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 05/05/2017] [Accepted: 06/13/2017] [Indexed: 12/30/2022]
Abstract
BACKGROUND Previous research suggests that visual hallucinations in schizophrenia consist of mental images mistaken for percepts due to failure of the reality-monitoring processes. However, the neural substrates that underpin such dysfunction are currently unknown. We conducted a brain imaging study to investigate the role of visual mental imagery in visual hallucinations. METHOD Twenty-three patients with schizophrenia and 26 healthy participants were administered a reality-monitoring task whilst undergoing an fMRI protocol. At the encoding phase, a mixture of pictures of common items and labels designating common items were presented. On the memory test, participants were requested to remember whether a picture of the item had been presented or merely its label. RESULTS Visual hallucination scores were associated with a liberal response bias reflecting propensity to erroneously remember pictures of the items that had in fact been presented as words. At encoding, patients with visual hallucinations differentially activated the right fusiform gyrus when processing the words they later remembered as pictures, which suggests the formation of visual mental images. On the memory test, the whole patient group activated the anterior cingulate and medial superior frontal gyrus when falsely remembering pictures. However, no differential activation was observed in patients with visual hallucinations, whereas in the healthy sample, the production of visual mental images at encoding led to greater activation of a fronto-parietal decisional network on the memory test. CONCLUSIONS Visual hallucinations are associated with enhanced visual imagery and possibly with a failure of the reality-monitoring processes that enable discrimination between imagined and perceived events.
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46
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The perceptual and phenomenal capacity of mental imagery. Cognition 2017; 162:124-132. [DOI: 10.1016/j.cognition.2017.02.004] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Revised: 02/06/2017] [Accepted: 02/08/2017] [Indexed: 11/21/2022]
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47
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Ffytche DH, Creese B, Politis M, Chaudhuri KR, Weintraub D, Ballard C, Aarsland D. The psychosis spectrum in Parkinson disease. Nat Rev Neurol 2017; 13:81-95. [PMID: 28106066 PMCID: PMC5656278 DOI: 10.1038/nrneurol.2016.200] [Citation(s) in RCA: 207] [Impact Index Per Article: 29.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
In 2007, the clinical and research profile of illusions, hallucinations, delusions and related symptoms in Parkinson disease (PD) was raised with the publication of a consensus definition of PD psychosis. Symptoms that were previously deemed benign and clinically insignificant were incorporated into a continuum of severity, leading to the rapid expansion of literature focusing on clinical aspects, mechanisms and treatment. Here, we review this literature and the evolving view of PD psychosis. Key topics include the prospective risk of dementia in individuals with PD psychosis, and the causal and modifying effects of PD medication. We discuss recent developments, including recognition of an increase in the prevalence of psychosis with disease duration, addition of new visual symptoms to the psychosis continuum, and identification of frontal executive, visual perceptual and memory dysfunction at different disease stages. In addition, we highlight novel risk factors - for example, autonomic dysfunction - that have emerged from prospective studies, structural MRI evidence of frontal, parietal, occipital and hippocampal involvement, and approval of pimavanserin for the treatment of PD psychosis. The accumulating evidence raises novel questions and directions for future research to explore the clinical management and biomarker potential of PD psychosis.
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Affiliation(s)
- Dominic H Ffytche
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology &Neuroscience, King's College London, UK. De Crespigny Park, London SE5 8AF, UK
| | - Byron Creese
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- University of Exeter Medical School, University of Exeter, EX1 2LU, UK
| | - Marios Politis
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Neurodegeneration Imaging Group, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology &Neuroscience, King's College London, 125 Coldharbour Lane, London SE5 9NU, UK
| | - K Ray Chaudhuri
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, National Parkinson Foundation Centre of Excellence, King's College London/Kings College Hospital, 5 Cutcombe Road, London SE5 9RT, UK
| | - Daniel Weintraub
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania 3615 Chestnut Street, #330, Philadelphia, Pennsylvania 19104, USA
- Parkinson's Disease and Mental Illness Research, Education and Clinical Centres (PADRECC and MIRECC), Philadelphia Veterans Affairs Medical Centre 3900 Woodland Avenue, Philadelphia, Pennsylvania 19104, USA
| | - Clive Ballard
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- University of Exeter Medical School, University of Exeter, EX1 2LU, UK
| | - Dag Aarsland
- KCL-PARCOG group, Institute of Psychiatry, Psychology &Neuroscience, King's College London, De Crespigny Park, London SE5 8AF, UK
- Department of Old Age Psychiatry, Institute of Psychiatry, Psychology &Neuroscience, King's College London, UK. De Crespigny Park, London SE5 8AF, UK
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O'Callaghan C, Kveraga K, Shine JM, Adams RB, Bar M. Predictions penetrate perception: Converging insights from brain, behaviour and disorder. Conscious Cogn 2017; 47:63-74. [PMID: 27222169 PMCID: PMC5764074 DOI: 10.1016/j.concog.2016.05.003] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 05/10/2016] [Accepted: 05/13/2016] [Indexed: 12/17/2022]
Abstract
It is argued that during ongoing visual perception, the brain is generating top-down predictions to facilitate, guide and constrain the processing of incoming sensory input. Here we demonstrate that these predictions are drawn from a diverse range of cognitive processes, in order to generate the richest and most informative prediction signals. This is consistent with a central role for cognitive penetrability in visual perception. We review behavioural and mechanistic evidence that indicate a wide spectrum of domains-including object recognition, contextual associations, cognitive biases and affective state-that can directly influence visual perception. We combine these insights from the healthy brain with novel observations from neuropsychiatric disorders involving visual hallucinations, which highlight the consequences of imbalance between top-down signals and incoming sensory information. Together, these lines of evidence converge to indicate that predictive penetration, be it cognitive, social or emotional, should be considered a fundamental framework that supports visual perception.
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Affiliation(s)
- Claire O'Callaghan
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK; Department of Psychology, University of Cambridge, Cambridge, UK; Brain and Mind Centre, University of Sydney, Sydney, Australia.
| | - Kestutis Kveraga
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - James M Shine
- School of Psychology, Stanford University, Stanford, CA, USA; Neuroscience Research Australia, Sydney, Australia
| | - Reginald B Adams
- Department of Psychology, The Pennsylvania State University, University Park, PA, USA
| | - Moshe Bar
- Gonda Center for Brain Research, Bar-Ilan University, Ramat Gan, Israel
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ffytche DH, Aarsland D. Psychosis in Parkinson's Disease. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2017; 133:585-622. [DOI: 10.1016/bs.irn.2017.04.005] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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50
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Weil RS, Schrag AE, Warren JD, Crutch SJ, Lees AJ, Morris HR. Visual dysfunction in Parkinson's disease. Brain 2016; 139:2827-2843. [PMID: 27412389 PMCID: PMC5091042 DOI: 10.1093/brain/aww175] [Citation(s) in RCA: 245] [Impact Index Per Article: 30.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 05/23/2016] [Accepted: 06/05/2016] [Indexed: 01/09/2023] Open
Abstract
Patients with Parkinson's disease have a number of specific visual disturbances. These include changes in colour vision and contrast sensitivity and difficulties with complex visual tasks such as mental rotation and emotion recognition. We review changes in visual function at each stage of visual processing from retinal deficits, including contrast sensitivity and colour vision deficits to higher cortical processing impairments such as object and motion processing and neglect. We consider changes in visual function in patients with common Parkinson's disease-associated genetic mutations including GBA and LRRK2 . We discuss the association between visual deficits and clinical features of Parkinson's disease such as rapid eye movement sleep behavioural disorder and the postural instability and gait disorder phenotype. We review the link between abnormal visual function and visual hallucinations, considering current models for mechanisms of visual hallucinations. Finally, we discuss the role of visuo-perceptual testing as a biomarker of disease and predictor of dementia in Parkinson's disease.
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Affiliation(s)
- Rimona S. Weil
- 1 Institute of Neurology, University College London, London, UK
- 2 National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- 3 Department of Clinical Neurosciences, Royal Free Hospital NHS Trust, London, UK
| | - Anette E. Schrag
- 1 Institute of Neurology, University College London, London, UK
- 2 National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Jason D. Warren
- 2 National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- 4 Dementia Research Centre, UCL Institute of Neurology, University College London, London, UK
| | - Sebastian J. Crutch
- 4 Dementia Research Centre, UCL Institute of Neurology, University College London, London, UK
| | - Andrew J. Lees
- 1 Institute of Neurology, University College London, London, UK
- 2 National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Huw R. Morris
- 1 Institute of Neurology, University College London, London, UK
- 2 National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
- 3 Department of Clinical Neurosciences, Royal Free Hospital NHS Trust, London, UK
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