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Elendu C, Jeswani BM, Madekwe CC, Chukwuneta CP, Sidhu AK, Okorie CO, Banerjee AV, Oshin BD. Clinical and electroencephalographic correlates of carbamazepine-associated hiccups in epileptic patients. Ann Med Surg (Lond) 2024; 86:4015-4034. [PMID: 38989169 PMCID: PMC11230812 DOI: 10.1097/ms9.0000000000002159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 05/02/2024] [Indexed: 07/12/2024] Open
Abstract
Carbamazepine, a commonly prescribed antiepileptic drug, is known to induce hiccups in a subset of epileptic patients. Although relatively uncommon, can have significant clinical implications. This comprehensive review delves into the clinical and electroencephalographic correlates of carbamazepine-associated hiccups, aiming to enhance understanding and management of this neurological side effect. The authors' review synthesizes qualitative epidemiological data, revealing that carbamazepine-induced hiccups occur in a subset of patients receiving the medication, with reported incidence rates ranging from 2.5 to 40%. Despite its relatively low prevalence, hiccups pose substantial challenges for patients and healthcare providers. Complications associated with carbamazepine-induced hiccups include disruption of sleep, impaired social functioning, and decreased quality of life, underscoring the clinical significance of this side effect. Effective management strategies can be implemented through a multidisciplinary approach, including collaboration among neurologists, pharmacists, and other healthcare professionals. These may include dose adjustments, medication discontinuation, and adjunctive therapies such as diaphragmatic breathing exercises or acupuncture. Additionally, close monitoring for adverse effects and timely intervention are essential to mitigate the impact of hiccups on patient well-being. Essentially, carbamazepine-induced hiccups represent a clinically relevant phenomenon that warrants attention in the management of epilepsy. By recognizing the clinical manifestations, understanding the underlying pathophysiology, and implementing evidence-based management strategies, healthcare providers can optimize patient care and improve outcomes in this patient population.
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Affiliation(s)
| | - Bijay M. Jeswani
- GCS Medical College, Hospital & Research Centre, Ahmedabad, Gujarat, India
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D'Antonio F, Teghil A, Boccia M, Bechi Gabrielli G, Giulietti G, Conti D, Suppa A, Fabbrini A, Fiorelli M, Caramia F, Bruno G, Guariglia C, Aarsland D, Ffytche D. Distinct grey and white matter changes are associated with the phenomenology of visual hallucinations in Lewy Body Disease. Sci Rep 2024; 14:14748. [PMID: 38926597 PMCID: PMC11208453 DOI: 10.1038/s41598-024-65536-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/20/2024] [Indexed: 06/28/2024] Open
Abstract
Visual hallucinations in Lewy body disease (LBD) can be differentiated based on phenomenology into minor phenomena (MVH) and complex hallucinations (CVH). MVH include a variety of phenomena, such as illusions, presence and passage hallucinations occurring at early stages of LBD. The neural mechanisms of visual hallucinations are largely unknown. The hodotopic model posits that the hallucination state is due to abnormal activity in specialized visual areas, that occurs in the context of wider network connectivity alterations and that phenomenology of VH, including content and temporal characteristics, may help identify brain regions underpinning these phenomena. Here we investigated both the topological and hodological neural basis of visual hallucinations integrating grey and white matter imaging analyses. We studied LBD patients with VH and age matched healthy controls (HC). VH were assessed using a North-East-Visual-Hallucinations-Interview that captures phenomenological detail. Then we applied voxel-based morphometry and tract based spatial statistics approaches to identify grey and white matter changes. First, we compared LBD patients and HC. We found a reduced grey matter volume and a widespread damage of white tracts in LBD compared to HC. Then we tested the association between CVH and MVH and grey and white matter indices. We found that CVH duration was associated with decreased grey matter volume in the fusiform gyrus suggesting that LBD neurodegeneration-related abnormal activity in this area is responsible for CVH. An unexpected finding was that MVH severity was associated with a greater integrity of white matter tracts, specifically those connecting dorsal, ventral attention networks and visual areas. Our results suggest that networks underlying MVH need to be partly intact and functional for MVH experiences to occur, while CVH occur when cortical areas are damaged. The findings support the hodotopic view and the hypothesis that MVH and CVH relate to different neural mechanisms, with wider implications for the treatment of these symptoms in a clinical context.
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Affiliation(s)
- Fabrizia D'Antonio
- Department of Human Neuroscience, Sapienza University of Rome, Viale Dell'università 30, 00185, Rome, Italy.
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy.
| | - Alice Teghil
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Maddalena Boccia
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Giulia Bechi Gabrielli
- Department of Human Neuroscience, Sapienza University of Rome, Viale Dell'università 30, 00185, Rome, Italy
| | | | - Desirée Conti
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Antonio Suppa
- Department of Human Neuroscience, Sapienza University of Rome, Viale Dell'università 30, 00185, Rome, Italy
- IRCCS Neuromed Institute, Pozzilli, IS, Italy
| | - Andrea Fabbrini
- Department of Human Neuroscience, Sapienza University of Rome, Viale Dell'università 30, 00185, Rome, Italy
| | - Marco Fiorelli
- Department of Human Neuroscience, Sapienza University of Rome, Viale Dell'università 30, 00185, Rome, Italy
| | - Francesca Caramia
- Department of Human Neuroscience, Sapienza University of Rome, Viale Dell'università 30, 00185, Rome, Italy
| | - Giuseppe Bruno
- Department of Human Neuroscience, Sapienza University of Rome, Viale Dell'università 30, 00185, Rome, Italy
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Cecilia Guariglia
- Cognitive and Motor Rehabilitation and Neuroimaging Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - Dag Aarsland
- Department of Old Age Psychiatry, King's College London, Institute of Psychiatry, Psychology and Neuroscience, IOPPN, London, UK
| | - Dominic Ffytche
- Department of Old Age Psychiatry, King's College London, Institute of Psychiatry, Psychology and Neuroscience, IOPPN, London, UK
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Pagan FL, Schulz PE, Torres-Yaghi Y, Pontone GM. On the Optimal Diagnosis and the Evolving Role of Pimavanserin in Parkinson's Disease Psychosis. CNS Drugs 2024; 38:333-347. [PMID: 38587586 PMCID: PMC11026222 DOI: 10.1007/s40263-024-01084-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/11/2024] [Indexed: 04/09/2024]
Abstract
Parkinson's disease (PD) is associated with the development of psychosis (PDP), including hallucinations and delusions, in more than half of the patient population. Optimal PD management must therefore involve considerations about both motor and non-motor symptoms. Often, clinicians fail to diagnosis psychosis in patients with PD and, when it is recognized, treat it suboptimally, despite the availability of multiple interventions. In this paper, we provide a summary of the current guidelines and clinical evidence for treating PDP with antipsychotics. We also provide recommendations for diagnosis and follow-up. Finally, an updated treatment algorithm for PDP that incorporates the use of pimavanserin, the only US FDA-approved drug for the treatment of PDP, was developed by extrapolating from a limited evidence base to bridge to clinical practice using expert opinion and experience. Because pimavanserin is only approved for the treatment of PDP in the US, in other parts of the world other recommendations and algorithms must be considered.
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Affiliation(s)
- Fernando L Pagan
- Department of Neurology, Georgetown University Hospital, Washington DC, USA
| | - Paul E Schulz
- Department of Neurology, McGovern Medical School at The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yasar Torres-Yaghi
- Department of Neurology, Georgetown University Hospital, Washington DC, USA
| | - Gregory M Pontone
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 600 N Wolfe St., Phipps 300, Baltimore, MD, 21287, USA.
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Jucevičiūtė N, Balnytė R, Laucius O. Exploring the Spectrum of Visual Illusions and Other Minor Hallucinations in Patients with Parkinson's Disease in Lithuania. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:606. [PMID: 38674252 PMCID: PMC11051838 DOI: 10.3390/medicina60040606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 04/02/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024]
Abstract
Background and Objectives: Parkinson's disease (PD) is associated with various non-motor symptoms, including minor hallucinations, comprising visual illusions and presence and passage hallucinations. Despite their occurrence, even in newly diagnosed PD patients, data regarding the prevalence and characteristics of minor hallucinations, visual illusions in particular, remain limited. The aim of this study was to address this knowledge gap by assessing the prevalence of minor hallucinations in PD patients, with a focus on visual illusions. Materials and Methods: In this prospective pilot study, we enrolled 35 PD patients without dementia and 35 age- and gender-matched PD-unaffected individuals. Cognitive function was assessed using the Montreal Cognitive Assessment, clinical data were collected, and all subjects were assessed via questionnaires regarding 20 types of visual illusions and other minor hallucinations. Results: The prevalence of minor hallucinations was significantly higher among PD patients compared to controls (45.7% vs. 11.4%, p = 0.003). PD patients reported visual illusions and presence hallucinations more frequently than the controls (37.1% vs. 8.6% and 22.9% vs. 2.9%, p = 0.009 and p = 0.028, respectively), with no significant difference in passage hallucinations (20% vs. 8.6%, p = 0.306). In the PD group, the most frequently observed visual illusions were complex visual illusions, kinetopsia, and pelopsia; the latter was also the most common visual illusion in the control group. PD patients experiencing visual illusions were more likely to report presence hallucinations compared to patients without visual illusions (53.8% vs. 4.5%, p = 0.002); no significant differences in other clinical characteristics were found. Conclusions: Minor hallucinations are a common phenomenon among PD patients without dementia, with a higher prevalence than among healthy controls. Visual illusions are the most prevalent type of minor hallucinations, affecting more than a third of PD patients, with complex visual illusions, kinetopsia, and pelopsia being the most frequently reported types.
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Affiliation(s)
- Neringa Jucevičiūtė
- Department of Neurology, Medical Academy, Lithuanian University of Health Sciences, A. Mickeviciaus Str. 9, LT-44307 Kaunas, Lithuania
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5
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Albert L, Potheegadoo J, Herbelin B, Bernasconi F, Blanke O. Numerosity estimation of virtual humans as a digital-robotic marker for hallucinations in Parkinson's disease. Nat Commun 2024; 15:1905. [PMID: 38472203 DOI: 10.1038/s41467-024-45912-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 02/07/2024] [Indexed: 03/14/2024] Open
Abstract
Hallucinations are frequent non-motor symptoms in Parkinson's disease (PD) associated with dementia and higher mortality. Despite their high clinical relevance, current assessments of hallucinations are based on verbal self-reports and interviews that are limited by important biases. Here, we used virtual reality (VR), robotics, and digital online technology to quantify presence hallucination (vivid sensations that another person is nearby when no one is actually present and can neither be seen nor heard) in laboratory and home-based settings. We establish that elevated numerosity estimation of virtual human agents in VR is a digital marker for experimentally induced presence hallucinations in healthy participants, as confirmed across several control conditions and analyses. We translated the digital marker (numerosity estimation) to an online procedure that 170 PD patients carried out remotely at their homes, revealing that PD patients with disease-related presence hallucinations (but not control PD patients) showed higher numerosity estimation. Numerosity estimation enables quantitative monitoring of hallucinations, is an easy-to-use unobtrusive online method, reaching people far away from medical centers, translating neuroscientific findings using robotics and VR, to patients' homes without specific equipment or trained staff.
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Affiliation(s)
- Louis Albert
- Laboratory of Cognitive Neuroscience, Neuro-X Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Jevita Potheegadoo
- Laboratory of Cognitive Neuroscience, Neuro-X Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Bruno Herbelin
- Laboratory of Cognitive Neuroscience, Neuro-X Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Fosco Bernasconi
- Laboratory of Cognitive Neuroscience, Neuro-X Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Olaf Blanke
- Laboratory of Cognitive Neuroscience, Neuro-X Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland.
- Department of Clinical Neurosciences, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
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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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Lenka A, Sundaravadivel P, Christopher R, Arumugham SS, Hegde S, Yadav R, Pal PK. HOMER1 Polymorphism and Parkinson's Disease-Psychosis: Is there an Association? Ann Indian Acad Neurol 2024; 27:178-182. [PMID: 38751916 PMCID: PMC11093156 DOI: 10.4103/aian.aian_1038_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/13/2024] [Accepted: 02/10/2024] [Indexed: 05/18/2024] Open
Abstract
Objective Homer1, a postsynaptic protein coded by the HOMER1 gene, presumably has a role in homeostatic plasticity that dampens neuronal responsiveness when the input activity is too high. HOMER1 polymorphism has been studied in major psychiatric disorders such as schizophrenia. The objective of this study is to investigate if polymorphisms of the HOMER1 gene are associated with psychosis in Parkinson's disease (PD-P). Methods One hundred patients with Parkinson's disease (PD) and 100 healthy controls were enrolled consecutively in a PD-P biomarker study at the National Institute of Mental Health and Neurosciences, Bangalore, India. Of the 100 PD patients, 50 had psychosis (PD-P) and 50 did not have psychosis (PD-NP). Two single-nucleotide polymorphisms of HOMER1 (rs4704559 and rs4704560) were analyzed from the DNA isolated from peripheral blood. The allele and genotype frequencies in the PD-P and PD-NP groups were compared. Results Analysis of HOMER1 rs4704560 revealed a significant difference in both genotype and allele levels between PD-P and PD-NP groups. There was an overrepresentation of T-allele (42% vs. 16%; P < 0.001) and TT genotype (24% vs. 6%; P < 0.001) in the PD-P group compared to PD-NP group. There was no significant difference between PD-P and PD-NP groups when various genotypes and allele frequencies related to HOMER1 rs4704559 were compared. Conclusion PD-P is probably associated with overrepresentation of T-allele of HOMER1 rs4704560, and larger studies are warranted to confirm our results.
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Affiliation(s)
- Abhishek Lenka
- Department of Clinical Neurosciences, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
- Department of Neurology, Baylor College of Medicine, Houston, USA
| | - Pandarisamy Sundaravadivel
- Department of Neurochemistry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
- Department of Integrative Medical Research, PES University Institute of Medical Sciences and Research, Bengaluru, Karnataka, India
| | - Rita Christopher
- Department of Neurochemistry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
- Department of Integrative Medical Research, PES University Institute of Medical Sciences and Research, Bengaluru, Karnataka, India
| | - Shyam S. Arumugham
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Shantala Hegde
- Department of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
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Kim S, Choi JH, Woo KA, Joo JY, Jeon B, Lee JY. Clinical correlates of pareidolias and color discrimination deficits in idiopathic REM sleep behavior disorder and Parkinson's disease. J Neural Transm (Vienna) 2024; 131:141-148. [PMID: 38110521 DOI: 10.1007/s00702-023-02724-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/26/2023] [Indexed: 12/20/2023]
Abstract
Visuoperceptual dysfunction is common in Parkinson's disease (PD) and is also reported in its prodromal phase, isolated REM sleep behavior disorder (iRBD). We aimed to investigate color discrimination ability and complex visual illusions known as pareidolias in patients with iRBD and PD compared to healthy controls, and their associating clinical factors. 46 iRBD, 43 PD, and 64 healthy controls performed the Farnsworth-Munsell 100 hue test and noise pareidolia tests. Any relationship between those two visual functions and associations with prodromal motor and non-motor manifestations were evaluated, including MDS-UPDRS part I to III, Cross-Cultural Smell Identification Test, sleep questionnaires, and comprehensive neuropsychological assessment. iRBD and PD patients both performed worse on the Farnsworth-Munsell 100 hue test and had greater number of pareidolias compared to healthy controls. No correlations were found between the extent of impaired color discrimination and pareidolia scores in either group. In iRBD patients, pareidolias were associated with frontal executive dysfunction, while impaired color discrimination was associated with visuospatial dysfunction, hyposmia, and higher MDS-UPDRS-III scores. Pareidolias in PD patients correlated with worse global cognition, whereas color discrimination deficits were associated with frontal executive dysfunction. Color discrimination deficits and pareidolias are frequent but does not correlate with each other from prodromal to clinically established stage of PD. The different pattern of clinical associates with the two visual symptoms suggests that evaluation of both color and pareidolias may aid in revealing the course of neurodegeneration in iRBD and PD patients.
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Affiliation(s)
- Seoyeon Kim
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ji-Hyun Choi
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea
| | - Kyung Ah Woo
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jae Young Joo
- Department of Neurology, Uijeongbu Eulji Medical Center, Uijeongbu, Republic of Korea
| | - Beomseok Jeon
- Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jee-Young Lee
- Department of Neurology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Friedman JH. Parkinson's disease psychosis management: an evidence based, experience informed, pragmatic approach. Expert Opin Pharmacother 2024; 25:149-156. [PMID: 38344806 DOI: 10.1080/14656566.2024.2316135] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/05/2024] [Indexed: 03/27/2024]
Abstract
INTRODUCTION Psychotic symptoms in people with Parkinson's disease (PD) have attracted increasing. Recommendations on treating psychosis often fail to take into account what psychotic symptoms require treatment, which has been complicated by the increasing number of reports documenting the frequency of 'minor' hallucinations. AREAS COVERED This article focuses both on the phenomenology of psychotic symptoms and their management. EXPERT OPINION Understanding the nature and implications of the types of psychotic symptoms in PD is the key to proper treatment. Evidence and experience-based data on the effect of anti-psychotic medications will be reviewed and how the various clinical settings should determine the treatment approach. The evidence base consists of all reported blinded trials recorded in PubMed and the experience-based studies are those chosen by the author from PubMed as illustrative. Specific recommendations for the treatment of psychosis will be listed for specific situations. Pimavanserin is the first-line choice for mild symptoms; quetiapine for symptoms that require improvement in a short period and clozapine for urgent problems or those which fail the other approaches.
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Affiliation(s)
- Joseph H Friedman
- Butler Hospital, Movement Disorders Program, Warren Alpert Medical School of Brown University, Providence, RI, USA
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10
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Baik K, Kim YJ, Park M, Chung SJ, Sohn YH, Jeong Y, Lee PH. Functional Brain Networks of Minor and Well-Structured Major Hallucinations in Parkinson's Disease. Mov Disord 2024; 39:318-327. [PMID: 38140793 DOI: 10.1002/mds.29681] [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: 07/09/2023] [Revised: 10/08/2023] [Accepted: 11/17/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Minor hallucinations (mHs) and well-structured major hallucinations (MHs) are common symptoms of Parkinson's disease (PD) psychosis. OBJECTIVES To investigate the resting-state networks (RSNs) in patients with PD without hallucinations (PD-nH), with mH (PD-mH), and with MH (PD-MH). METHODS A total of 73 patients with PD were enrolled (27 PD-nH, 23 PD-mH, and 23 PD-MH). Using seed-based functional connectivity analyses, we investigated the RSNs supposedly related to hallucinations in PD: the default mode network (DMN), executive control network (ECN), dorsal attention network (DAN), ventral attention network (VAN), and visual network (VN). We compared the cognitive function and RSN connectivity among the three groups. In addition, we performed a seed-to-seed analysis to examine the inter-network connectivity within each group using the corresponding RSN seeds. RESULTS PD-MH group had lower test scores for attention and visuospatial functions compared with those in the other groups. The connectivity of the right intracalcarine cortex within the DAN was lower in the PD-MH group than in the others. The PD-mH and PD-MH groups showed higher connectivity in the left orbitofrontal cortex within DMN compared with the PD-nH group, whereas the connectivity was lower in the right middle frontal gyrus (MFG) within ECN, precuneus cortex within VAN, right middle temporal gyrus and precuneus cortex within DAN, and left MFG within VN. The PD-mH and PD-MH groups showed different inter-network connectivity between the five RSNs, especially regarding DAN connectivity. CONCLUSIONS DAN dysfunction may be a key factor in the progression from mH to MH in patients with PD. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Kyoungwon Baik
- Department of Neurology, Anam Hospital, Korea University College of Medicine, Seoul, South Korea
| | - Yae Ji Kim
- Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
- KI for Health Science and Technology, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Mincheol Park
- Department of Neurology, Chung-Ang University College of Medicine and Graduate School of Medicine, Gwangmyeong Hospital, Gwangmyeong, South Korea
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Seok Jong Chung
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Young H Sohn
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
| | - Yong Jeong
- Program of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
- KI for Health Science and Technology, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | - Phil Hyu Lee
- Department of Neurology, Yonsei University College of Medicine, Seoul, South Korea
- Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, South Korea
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Liu C, Qu L, Li Q, Cao Y, Shi J, Yu C, Liu W, Yin K. Global brain analysis of minor hallucinations in Parkinson's disease using EEG and MRI data. Front Aging Neurosci 2024; 15:1189621. [PMID: 38298924 PMCID: PMC10828952 DOI: 10.3389/fnagi.2023.1189621] [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: 03/19/2023] [Accepted: 12/04/2023] [Indexed: 02/02/2024] Open
Abstract
Introduction Visual hallucination is a prevalent psychiatric disorder characterized by the occurrence of false visual perceptions due to misinterpretation in the brain. Individuals with Parkinson's disease often experience both minor and complex visual hallucinations. The underlying mechanism of complex visual hallucinations in Parkinson's patients is commonly attributed to dysfunction in the visual pathway and attention network. However, there is limited research on the mechanism of minor hallucinations. Methods To address this gap, we conducted an experiment involving 13 Parkinson's patients with minor hallucinations, 13 Parkinson's patients without hallucinations, and 13 healthy elderly individuals. We collected and analyzed EEG and MRI data. Furthermore, we utilized EEG data from abnormal brain regions to train a machine learning model to determine whether the abnormal EEG data were associated with minor hallucinations. Results Our findings revealed that Parkinson's patients with minor hallucinations exhibited excessive activation of cortical excitability, an imbalanced interaction between the attention network and the default network, and disruption in the connection between these networks. These findings is similar to the mechanism observed in complex visual hallucinations. The visual reconstruction of one patient experiencing hallucinations yields results that differ from those observed in subjects without such symptoms. Discussion The visual reconstruction results demonstrated significant differences between Parkinson's patients with hallucinations and healthy subjects. This suggests that visual reconstruction techniques may offer a means of evaluating hallucinations.
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Affiliation(s)
- Chuan Liu
- Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing, China
| | - Liangcheng Qu
- Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing, China
| | - Qixue Li
- Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing, China
| | - Yiting Cao
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jingping Shi
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Yu
- Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing, China
| | - Weiguo Liu
- Department of Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Kuiying Yin
- Link Sense Laboratory, Nanjing Research Institute of Electronic Technology, Nanjing, China
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12
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Devanand DP, Jeste DV, Stroup TS, Goldberg TE. Overview of late-onset psychoses. Int Psychogeriatr 2024; 36:28-42. [PMID: 36866576 DOI: 10.1017/s1041610223000157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
Abstract
BACKGROUND Several etiologies can underlie the development of late-onset psychosis, defined by first psychotic episode after age 40 years. Late-onset psychosis is distressing to patients and caregivers, often difficult to diagnose and treat effectively, and associated with increased morbidity and mortality. METHODS The literature was reviewed with searches in Pubmed, MEDLINE, and the Cochrane library. Search terms included "psychosis," "delusions," hallucinations," "late onset," "secondary psychoses," "schizophrenia," bipolar disorder," "psychotic depression," "delirium," "dementia," "Alzheimer's," "Lewy body," "Parkinson's, "vascular dementia," and "frontotemporal dementia." This overview covers the epidemiology, clinical features, neurobiology, and therapeutics of late-onset psychoses. RESULTS Late-onset schizophrenia, delusional disorder, and psychotic depression have unique clinical characteristics. The presentation of late-onset psychosis requires investigation for underlying etiologies of "secondary" psychosis, which include neurodegenerative, metabolic, infectious, inflammatory, nutritional, endocrine, and medication toxicity. In delirium, psychosis is common but controlled evidence is lacking to support psychotropic medication use. Delusions and hallucinations are common in Alzheimer's disease, and hallucinations are common in Parkinson's disease and Lewy body dementia. Psychosis in dementia is associated with increased agitation and a poor prognosis. Although commonly used, no medications are currently approved for treating psychosis in dementia patients in the USA and nonpharmacological interventions need consideration. CONCLUSION The plethora of possible causes of late-onset psychosis requires accurate diagnosis, estimation of prognosis, and cautious clinical management because older adults have greater susceptibility to the adverse effects of psychotropic medications, particularly antipsychotics. Research is warranted on developing and testing efficacious and safe treatments for late-onset psychotic disorders.
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Affiliation(s)
- D P Devanand
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, USA
| | - Dilip V Jeste
- Departments of Psychiatry, Neurosciences University of California San Diego, La Jolla, USA
| | - T Scott Stroup
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, USA
| | - Terry E Goldberg
- Department of Psychiatry, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, USA
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13
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Cucca A, Manara CV, Catalan M, Liccari M, Antonutti L, Lombardo TMI, Cenacchi V, Rangan S, Mingolo S, Crisafulli C, Dore F, Murgia M, Agostini T, Manganotti P. Using illusions to understand hallucinations: differences in perceptual performances on illusory figures may underscore specific visuoperceptual impairments in Parkinson's disease. Front Neurosci 2023; 17:1256224. [PMID: 38125403 PMCID: PMC10732246 DOI: 10.3389/fnins.2023.1256224] [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: 07/10/2023] [Accepted: 11/06/2023] [Indexed: 12/23/2023] Open
Abstract
Visual hallucinations are prevalent, potentially disabling symptoms of Parkinson's Disease. Multiple impairments in bottom-up sensory processing and top-down perceptual modulation are implicated in the pathophysiology of these phenomena. In healthy individuals, visual illusions are elicited by illusory figures through parametric manipulations of geometrical configurations, contrast, color, or spatial relationships between stimuli. These illusory percepts provide insight on the physiologic processes subserving conscious and unconscious perception. In this exploratory, cross-sectional, controlled study, perceptual performance on illusory figures was assessed on 11 PD patients with hallucinations, 10 non-hallucinating PD patients, and 10 age-matched healthy individuals. In order to characterize potential neural substrates of perceptual performances, patients' brain metabolic patterns on FDG PET were also analyzed. Illusions relying on attentional modulation and global perception were attenuated in PD patients without hallucinations. This pattern was no longer recognizable in hallucinating patients. Conversely, illusory effects normally counteracted by figure to background segregation and overlapping figures recognition were enhanced in PD patients with hallucinations. FDG PET findings further suggest that perceptual differences between PD patients might be linked to abnormal top-down perceptual modulation.
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Affiliation(s)
- Alberto Cucca
- Department of Life Sciences, University of Trieste, Trieste, Italy
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States
| | | | - Mauro Catalan
- Neurology Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Marco Liccari
- Neurology Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Lucia Antonutti
- Neurology Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | | | - Valentina Cenacchi
- Neurology Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Sophie Rangan
- Neurology Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Serena Mingolo
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Carmelo Crisafulli
- Nuclear Medicine, Imaging Diagnostic Department University Hospital and Health Services of Trieste, Trieste, Italy
| | - Franca Dore
- Nuclear Medicine, Imaging Diagnostic Department University Hospital and Health Services of Trieste, Trieste, Italy
| | - Mauro Murgia
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Tiziano Agostini
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Paolo Manganotti
- Neurology Clinic, Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
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14
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Ravandi SN, Kouchaki E, Asgarian FS. Prevalence of hallucinations in Parkinson's patients: meta-analysis of International studies. Neurol Sci 2023; 44:3389-3394. [PMID: 37140832 DOI: 10.1007/s10072-023-06831-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 04/26/2023] [Indexed: 05/05/2023]
Abstract
BACKGROUND Parkinson's disease (PD) is one of the common causes of disability in the elderly. This study aims to estimate the prevalence of hallucinations in Parkinson's patients in the world. METHODS A systematic review of PubMed/Medline, ISI Web of Knowledge, and Google Scholar was conducted from 2017 to 2022. This study investigated the prevalence of hallucinations in Parkinson's patients. Point prevalence was analyzed with a 95% confidence interval. The variances of each study were calculated using the binomial distribution formula The researcher used Cochrane Q-test with a significance level of less than 0.1 to check the heterogeneity between studies and the change index assigned to heterogeneity I2. Due to the heterogeneity between the studies, the random effects model was used to combine the results of the studies. All statistical analyses were performed by STATA version 14 software using meta-analysis commands. RESULTS Reports indicated that the prevalence of hallucinations in Parkinson's patients in 32 studies was 28% (0.22-0.34 = 95%CI). The highest prevalence was 34% and 95% CI = 0.07- 0.61 in developing countries and 27% with CI = 0.33-0.21 in developed countries. Reports showed the prevalence in men was 30% (CI = 0.22-0.38) and in women 23% (95% CI = 0.14-0.31). CONCLUSIONS Considering the relatively high prevalence of hallucinations in these patients, checking up for the presence of hallucinations on every visit of Parkinson's patients is recommended, and providing appropriate treatment for that is necessary.
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Affiliation(s)
- Somayye Nadi Ravandi
- Library and Information Sciences, Department of General Courses, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran
| | - Ebrahim Kouchaki
- Department of Neurology, School of Medicine, Shahid Beheshti Hospital, Kashan University of Medical Sciences, Kashan, Iran
| | - Fatemeh Sadat Asgarian
- Social Determinants of Health (SDH) Research Center, Kashan University of Medical Sciences, Kashan, Iran.
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15
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Jiang Y, Zhu J, Zhao Y, Li D, Chen Y, Wang Y, Jiang X, Shen B, Pan Y, Yan J, Han F, Zhang L. Minor hallucinations in Parkinson's disease with probable rapid eye movement sleep behavior disorder. Front Neurosci 2023; 17:1205439. [PMID: 37645371 PMCID: PMC10461060 DOI: 10.3389/fnins.2023.1205439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 07/31/2023] [Indexed: 08/31/2023] Open
Abstract
Background Rapid eye movement sleep behavior disorder (RBD) and minor hallucinations (MHs) are prevalent nonmotor symptoms in Parkinson's disease (PD). The purpose of this study was to explore the association of MHs in PD patients with probable RBD (pRBD). Methods This cross-sectional study included 291 patients diagnosed with PD. Patients who scored 6 or higher on the Rapid Eye Movement Behavior Disorder (RBD) Screening Questionnaire were defined as pRBD. A comprehensive evaluation was performed for all patients, including the collection of demographic information, clinical assessment, and MH features. Results Among the 291 PD patients, 69 (23.7%) had pRBD. MHs were observed in 35 (50.7%) patients with pRBD, significantly higher than 29.7% in patients without RBD (p = 0.015). The main type of MHs in pRBD was presence hallucinations with variable content. Patients with pRBD and MHs tended to be older, had a longer disease duration, and were more likely to take levodopa or dopamine-receptor agonists. Besides, the pRBD with MHs group had higher scores on the Nonmotor Symptoms Questionnaire (NMS-Quest) and Hamilton Anxiety Scale (HAMA). Binary logistic regression analysis revealed that longer disease duration and higher NMS-Quest scores were associated with MHs in PD patients with pRBD. Conclusion A high prevalence of MHs was observed in PD patients with pRBD. The main type of MHs in pRBD was presence hallucinations. MHs in PD with RBD are mainly associated with disease duration and severity of nonmotor symptoms. These findings provide new insights into the interaction between MHs and RBD.
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Affiliation(s)
- Yinyin Jiang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Jun Zhu
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yang Zhao
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Dongfeng Li
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yaning Chen
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yaxi Wang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Xu Jiang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Bo Shen
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yang Pan
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Jun Yan
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Feng Han
- School of Pharmacy, Nanjing Medical University, Nanjing, China
- Institute of Brain Science, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Li Zhang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
- Institute of Neuropsychiatric Diseases, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
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16
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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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17
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Bhome R, Thomas GEC, Zarkali A, Weil RS. Structural and Functional Imaging Correlates of Visual Hallucinations in Parkinson's Disease. Curr Neurol Neurosci Rep 2023; 23:287-299. [PMID: 37126201 PMCID: PMC10257588 DOI: 10.1007/s11910-023-01267-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/12/2023] [Indexed: 05/02/2023]
Abstract
PURPOSE OF REVIEW To review recent structural and functional MRI studies of visual hallucinations in Parkinson's disease. RECENT FINDINGS Previously, neuroimaging had shown inconsistent findings in patients with Parkinson's hallucinations, especially in studies examining grey matter volume. However, recent advances in structural and functional MRI techniques allow better estimates of structural connections, as well as the direction of connectivity in functional MRI. These provide more sensitive measures of changes in structural connectivity and allow models of the changes in directional functional connectivity to be tested. We identified 27 relevant studies and found that grey matter imaging continues to show heterogeneous findings in Parkinson's patients with visual hallucinations. Newer approaches in diffusion imaging and functional MRI are consistent with emerging models of Parkinson's hallucinations, suggesting shifts in attentional networks. In particular, reduced bottom-up, incoming sensory information, and over-weighting of top-down signals appear to be important drivers of visual hallucinations in Parkinson's disease.
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Affiliation(s)
- Rohan Bhome
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK.
- Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK.
| | | | - Angeliki Zarkali
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
| | - Rimona Sharon Weil
- Dementia Research Centre, University College London, 8-11 Queen Square, London, WC1N 3AR, UK
- Wellcome Centre for Human Neuroimaging, University College London, 12 Queen Square, London, WC1N 3AR, UK
- Movement Disorders Centre, National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1N 3AR, UK
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18
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Metta V, Chung-Faye G, Ts Benamer H, Mrudula R, Goyal V, Falup-Pecurariu C, Muralidharan N, Deepak D, Abdulraheem M, Borgohain R, Chaudhuri KR. Hiccups, Hypersalivation, Hallucinations in Parkinson's Disease: New Insights, Mechanisms, Pathophysiology, and Management. J Pers Med 2023; 13:jpm13050711. [PMID: 37240881 DOI: 10.3390/jpm13050711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 04/17/2023] [Accepted: 04/18/2023] [Indexed: 05/28/2023] Open
Abstract
Parkinson's disease (PD) is a chronic, progressive neurological disorder and the second most common neurodegenerative condition. We report three common but overlooked symptoms in PD-hiccups, hypersalivation, and hallucinations-in terms of their prevalence, pathophysiology, and up-to-date evidence-based treatment strategies. Whilst all these three symptoms do occur in many other neurological and non-neurological conditions, early recognition and treatment are paramount. Whilst hiccups affect 3% of healthy people, their rate of occurrence is higher (20%) in patients with PD. Hypersalivation (Sialorrhea) is another common neurological manifestation of many neurological and other neurodegenerative conditions such as motor neuron disease (MND), with a median prevalence rate of 56% (range: 32-74%). A 42% prevalence of sialorrhea is also reported in sub-optimally treated patients with PD. Hallucinations, especially visual hallucinations, are commonly reported, with a prevalence of 32-63% in PD, and a 55-78% prevalence is noted in patients with dementia with Lewy bodies (DLB), followed by tactile hallucinations, which are indicated by a sensation of crawling bugs or imaginary creatures across the skin surface. Whilst mainstay and primary management strategies for all these three symptoms are carried out through history taking, it is also essential to identify and treat possible potential triggers such as infection, minimise or avoid causative (such as drug-induced) factors, and especially carry out patient education before considering more definitive treatment strategies, such as botulinum toxin therapies for hypersalivation, to improve the quality of life of patients. This original review paper aims to provide a comprehensive overview of the disease mechanisms, pathophysiology, and management of hiccups, hypersalivation, and hallucinations in Parkinson's disease.
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Affiliation(s)
- Vinod Metta
- Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience and Parkinson's Foundation Centre of Excellence, King's College Hospital, King's College London, London WC2R 2LS, UK
- Kings College Hospital London, Dubai 263267, United Arab Emirates
| | - Guy Chung-Faye
- Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience and Parkinson's Foundation Centre of Excellence, King's College Hospital, King's College London, London WC2R 2LS, UK
- Kings College Hospital London, Dubai 263267, United Arab Emirates
| | - Hani Ts Benamer
- Department of Movement Disorders & Parkinson's Centre of Excellence, Mohammed Bin Rashid University, Dubai 263267, United Arab Emirates
| | - Rukmini Mrudula
- CNC Institute of Movement Disorders & Parkinson's Centre of Excellence, India
| | - Vinay Goyal
- Institute of Movement Disorders, Medanta Hospitals, India
| | | | | | - Desh Deepak
- Kings College Hospital London, Dubai 263267, United Arab Emirates
| | | | - Rupam Borgohain
- CNC Institute of Movement Disorders & Parkinson's Centre of Excellence, India
| | - Kallol Ray Chaudhuri
- Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience and Parkinson's Foundation Centre of Excellence, King's College Hospital, King's College London, London WC2R 2LS, UK
- Kings College Hospital London, Dubai 263267, United Arab Emirates
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19
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Shahid M, Rawls A, Ramirez V, Ryman S, Santini VE, Yang L, Sha SJ, Hall JN, Montine TJ, Lin A, Tian L, Henderson VW, Cholerton B, Yutsis M, Poston KL. Illusory Responses across the Lewy Body Disease Spectrum. Ann Neurol 2023; 93:702-714. [PMID: 36511519 PMCID: PMC10231422 DOI: 10.1002/ana.26574] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 11/22/2022] [Accepted: 12/04/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVE This study was undertaken to study pareidolias, or perceived meaningful objects in a meaningless stimulus, in patients across the Lewy body (LB) disease spectrum, where most do not report hallucinations or delusions. METHODS We studied illusory responses on the Noise Pareidolia Task in 300 participants (38 cognitively impaired LB, 65 cognitively unimpaired LB, 51 Alzheimer disease spectrum [AD-s], 146 controls). Pairwise between-group comparisons examined how diagnosis impacts the number of illusory responses. Ordinal regression analysis compared the number of illusory responses across diagnosis groups, adjusting for age, sex, and education. Analyses were repeated after removing participants with reported hallucinations or delusions. RESULTS Cognitively impaired LB participants were 12.3, 4.9, and 4.6 times more likely than control, cognitively unimpaired LB, and AD-s participants, respectively, to endorse illusory responses. After adjusting for age, sex, and education, the probability of endorsing 1 or more illusory responses was 61% in the cognitively impaired LB group, compared to 26% in AD-s, 25% in cognitively unimpaired LB, and 12% in control participants. All results were similar after repeated analysis only in participants without hallucinations or delusions. In LB without hallucinations or delusions, 52% with mild cognitive impairment and 66.7% with dementia endorsed at least 1 illusory response. INTERPRETATION We found illusory responses are common in cognitively impaired LB patients, including those without any reported psychosis. Our data suggest that, prior to the onset of hallucinations and delusions, the Noise Pareidolia Task can easily be used to screen for unobtrusive pareidolias in all LB patients. ANN NEUROL 2023;93:702-714.
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Affiliation(s)
- Marian Shahid
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Ashley Rawls
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Veronica Ramirez
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Sephira Ryman
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Translational Neuroscience, Mind Research Network, Albuquerque, NM, USA
| | - Veronica E Santini
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Laurice Yang
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Sharon J Sha
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Jacob N Hall
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Neurology Center of Southern California, Temecula, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Amy Lin
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Victor W Henderson
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Brenna Cholerton
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Maya Yutsis
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Kathleen L Poston
- Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA
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20
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Li G, Zhu J, Wu X, Liu T, Hu P, Tian Y, Wang K. Baseline free water within the visual processing system predicts future psychosis in Parkinson disease. Eur J Neurol 2023; 30:892-901. [PMID: 36583634 DOI: 10.1111/ene.15668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 12/08/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE As psychosis is associated with decreased quality of life, increased institutionalization, and mortality in Parkinson disease (PD), it is essential to identify individuals at risk for future psychosis. This longitudinal study aimed to investigate whether diffusion tensor imaging (DTI) metrics of white matter hold independent utility for predicting future psychosis in PD, and whether they could be combined with clinical predictors to improve the prognostication of PD psychosis. METHODS This study included 123 newly diagnosed PD patients collected in the Parkinson's Progression Markers Initiative. Tract-based spatial statistics were used to compare baseline DTI metrics between PD patients who developed psychosis and those who did not during follow-up. Binary logistic regression analyses were performed to identify the clinical and white matter markers predictive of psychosis. RESULTS Among DTI measures, both higher baseline whole brain (odds ratio [OR] = 1.711, p = 0.016) free water (FW) and visual processing system (OR = 1.680, p < 0.001) FW were associated with an increased risk of future psychosis. Baseline FW remained a significant indicator of future psychosis in PD after controlling for clinical predictors. Moreover, the accuracy of prediction of psychosis using clinical predictors alone (area under the curve [AUC] = 0.742, 95% confidence interval [CI] = 0.655-0.816) was significantly improved by the addition of the visual processing system FW (AUC = 0.856, 95% CI = 0.781-0.912; Delong method, p = 0.022). CONCLUSIONS Baseline FW of the visual processing system incurs an independent risk of future psychosis in PD, thus providing an opportunity for multiple-modality marker models to include a white matter marker.
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Affiliation(s)
- Guanglu Li
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jiajia Zhu
- Department of Radiology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xingqi Wu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Tingting Liu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Panpan Hu
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorder and Mental Health, Hefei, China
| | - Yanghua Tian
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorder and Mental Health, Hefei, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- Department of Psychology and Sleep Medicine, Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Kai Wang
- Department of Neurology, First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorder and Mental Health, Hefei, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
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21
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Palmisano A, Chiarantoni G, Bossi F, Conti A, D'Elia V, Tagliente S, Nitsche MA, Rivolta D. Face pareidolia is enhanced by 40 Hz transcranial alternating current stimulation (tACS) of the face perception network. Sci Rep 2023; 13:2035. [PMID: 36739325 PMCID: PMC9899232 DOI: 10.1038/s41598-023-29124-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Pareidolia refers to the perception of ambiguous sensory patterns as carrying a specific meaning. In its most common form, pareidolia involves human-like facial features, where random objects or patterns are illusionary recognized as faces. The current study investigated the neurophysiological correlates of face pareidolia via transcranial alternating current stimulation (tACS). tACS was delivered at gamma (40 Hz) frequency over critical nodes of the "face perception" network (i.e., right lateral occipito-temporal and left prefrontal cortex) of 75 healthy participants while completing four face perception tasks ('Mooney test' for faces, 'Toast test', 'Noise pareidolia test', 'Pareidolia task') and an object perception task ('Mooney test' for objects). In this single-blind, sham-controlled between-subjects study, participants received 35 min of either Sham, Online, (40Hz-tACS_ON), or Offline (40Hz-tACS_PRE) stimulation. Results showed that face pareidolia was causally enhanced by 40Hz-tACS_PRE in the Mooney test for faces in which, as compared to sham, participants more often misperceived scrambled stimuli as faces. In addition, as compared to sham, participants receiving 40Hz-tACS_PRE showed similar reaction times (RTs) when perceiving illusory faces and correctly recognizing noise stimuli in the Toast test, thus not exhibiting hesitancy in identifying faces where there were none. Also, 40Hz-tACS_ON induced slower rejections of face pareidolia responses in the Noise pareidolia test. The current study indicates that 40 Hz tACS can enhance pareidolic illusions in healthy individuals and, thus, that high frequency (i.e., gamma band) oscillations are critical in forming coherent and meaningful visual perception.
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Affiliation(s)
- Annalisa Palmisano
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy.
| | - Giulio Chiarantoni
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
| | | | - Alessio Conti
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
| | - Vitiana D'Elia
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
| | - Serena Tagliente
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy
| | - Michael A Nitsche
- Department of Psychology and Neurosciences, Leibniz Research Center for Working Environment and Human Factors (IfADo), Dortmund, Germany.,Department of Neurology, University Medical Hospital Bergmannsheil, Bochum, Germany
| | - Davide Rivolta
- Department of Education, Psychology, and Communication, University of Bari Aldo Moro, Bari, Italy.,School of Psychology, University of East London (UEL), London, UK
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22
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Santos-García D, de Deus Fonticoba T, Cores Bartolomé C, Feal Painceiras MJ, Paz González JM, Martínez Miró C, Jesús S, Aguilar M, Pastor P, Planellas L, Cosgaya M, García Caldentey J, Caballol N, Legarda I, Hernández Vara J, Cabo I, López Manzanares L, González Aramburu I, Ávila Rivera MA, Gómez Mayordomo V, Nogueira V, Puente V, Dotor García-Soto J, Borrué C, Solano Vila B, Álvarez Sauco M, Vela L, Escalante S, Cubo E, Carrillo Padilla F, Martínez Castrillo JC, Sánchez Alonso P, Alonso Losada MG, López Ariztegui N, Gastón I, Kulisevsky J, Blázquez Estrada M, Seijo M, Rúiz Martínez J, Valero C, Kurtis M, de Fábregues O, González Ardura J, Alonso Redondo R, Ordás C, López Díaz L LM, McAfee D, Martinez-Martin P, Mir P. Risk of Cognitive Impairment in Patients With Parkinson's Disease With Visual Hallucinations and Subjective Cognitive Complaints. J Clin Neurol 2023:19.e8. [PMID: 36647231 DOI: 10.3988/jcn.2022.0186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 08/31/2022] [Accepted: 09/01/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND AND PURPOSE Visual hallucinations (VH) and subjective cognitive complaints (SCC) are associated with cognitive impairment (CI) in Parkinson's disease. Our aims were to determine the association between VH and SCC and the risk of CI development in a cohort of patients with Parkinson's disease and normal cognition (PD-NC). METHODS Patients with PD-NC (total score of >80 on the Parkinson's Disease Cognitive Rating Scale [PD-CRS]) recruited from the Spanish COPPADIS cohort from January 2016 to November 2017 were followed up after 2 years. Subjects with a score of ≥1 on domain 5 and item 13 of the Non-Motor Symptoms Scale at baseline (V0) were considered as "with SCC" and "with VH," respectively. CI at the 2-year follow-up (plus or minus 1 month) (V2) was defined as a PD-CRS total score of <81. RESULTS At V0 (n=376, 58.2% males, age 61.14±8.73 years [mean±SD]), the frequencies of VH and SCC were 13.6% and 62.2%, respectively. VH were more frequent in patients with SCC than in those without: 18.8% (44/234) vs 4.9% (7/142), p<0.0001. At V2, 15.2% (57/376) of the patients had developed CI. VH presenting at V0 was associated with a higher risk of CI at V2 (odds ratio [OR]=2.68, 95% confidence interval=1.05-6.83, p=0.0.039) after controlling for the effects of age, disease duration, education, medication, motor and nonmotor status, mood, and PD-CRS total score at V0. Although SCC were not associated with CI at V2, presenting both VH and SCC at V0 increased the probability of having CI at V2 (OR=3.71, 95% confidence interval=1.36-10.17, p=0.011). CONCLUSIONS VH were associated with the development of SCC and CI at the 2-year follow-up in patients with PD-NC.
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Affiliation(s)
| | | | | | | | | | | | - Silvia Jesús
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas), Madrid, Spain
| | - Miquel Aguilar
- Hospital Universitari Mutua de Terrassa, Terrassa, Spain
| | - Pau Pastor
- Hospital Universitari Mutua de Terrassa, Terrassa, Spain
| | | | | | | | - Nuria Caballol
- Consorci Sanitari Integral, Hospital Moisés Broggi, Sant Joan Despí, Spain
| | - Ines Legarda
- Hospital Universitario Son Espases, Palma de Mallorca, Spain
| | - Jorge Hernández Vara
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas), Madrid, Spain.,Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | - Iria Cabo
- Complejo Hospitalario Universitario de Pontevedra (CHOP), Pontevedra, Spain
| | | | - Isabel González Aramburu
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas), Madrid, Spain.,Hospital Universitario Marqués de Valdecilla, Santander, Spain
| | - Maria A Ávila Rivera
- Consorci Sanitari Integral, Hospital General de L'Hospitalet, L'Hospitalet de Llobregat, Barcelona, Spain
| | | | | | | | | | | | - Berta Solano Vila
- Institut d'Assistència Sanitària (IAS)-Institut Català de la Salut, Girona, Spain
| | | | - Lydia Vela
- Fundación Hospital de Alcorcón, Madrid, Spain
| | - Sonia Escalante
- Hospital de Tortosa Verge de la Cinta (HTVC), Tortosa, Spain
| | - Esther Cubo
- Complejo Asistencial Universitario de Burgos, Burgos, Spain
| | | | | | | | - Maria G Alonso Losada
- Hospital Álvaro Cunqueiro, Complejo Hospitalario Universitario de Vigo (CHUVI), Vigo, Spain
| | | | | | - Jaime Kulisevsky
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas), Madrid, Spain.,Hospital de Sant Pau, Barcelona, Spain
| | | | - Manuel Seijo
- Complejo Hospitalario Universitario de Pontevedra (CHOP), Pontevedra, Spain
| | | | | | | | | | | | | | | | | | - Darrian McAfee
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Pablo Martinez-Martin
- CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas), Madrid, Spain
| | - Pablo Mir
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain.,CIBERNED (Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas), Madrid, Spain
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23
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Wang Y, Li D, Chen Y, Zhu S, Jiang X, Jiang Y, Gu R, Shen B, Zhu J, Pan Y, Yan J, Zhang L. Clinical features of minor hallucinations in different phenotypes of Parkinson's disease: A cross-sectional study. Front Neurol 2023; 14:1158188. [PMID: 37034082 PMCID: PMC10079986 DOI: 10.3389/fneur.2023.1158188] [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: 02/03/2023] [Accepted: 03/09/2023] [Indexed: 04/11/2023] Open
Abstract
Background Minor hallucinations (MHs) are the most common psychiatric symptom associated with Parkinson's disease (PDPsy), but little is known about their characteristics in different motor phenotypes, especially postural instability gait difficulty (PIGD). The aim of this study was to explore the clinical features of MHs in different subtypes of PD. Methods In this cross-sectional study, 213 patients with Parkinson's disease (PD) were recruited, and the data obtained included comprehensive demographics, motor subtypes, clinical scale scores, and MH contents. Motor subtypes were classified as tremor-dominant (TD), PIGD or indeterminate according to Stebbins' method. Results A total of 213 PD patients were included: 90 (42.3%) TD patients, 98 (46.0%) PIGD patients and 25 (11.7%) indeterminate. In total, 70 (32.9%) patients experienced MHs. Compared to patients with the TD phenotype, we found that patients with the PIGD phenotype had more severe motor and nonmotor symptoms. They also had a higher incidence of visual illusions (VIs) and a shorter MH latency. Conclusion Our study demonstrated that compared to patients with the TD phenotype, patients with the PIGD phenotype had a higher incidence of MHs, especially VIs, which may lead to a higher incidence of visual hallucinations (VHs). They also had a shorter latency of MHs than patients with the TD phenotype, suggesting an earlier onset of MHs and a worse prognosis.
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24
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Fischer CE, Namasivayam A, Crawford-Holland L, Hakobyan N, Schweizer TA, Munoz DG, Pollock BG. Psychotic Disorders in the Elderly: Diagnosis, Epidemiology, and Treatment. Psychiatr Clin North Am 2022; 45:691-705. [PMID: 36396273 DOI: 10.1016/j.psc.2022.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
This review covers the latest advances in our understanding of psychosis in the elderly population with respect to diagnosis, epidemiology, and treatment. Major topics of discussion include late life psychiatric disorders such as schizophrenia, schizoaffective disorder, and delusional disorder as well as dementia-related psychosis. Clinical differences between early-onset and late-onset disorders are reviewed in terms of prevalence, symptomatology, and approach to treatment. Newly revised research and clinical criteria for dementia-related psychosis are referenced. The evidence base for emerging therapies including citalopram and pimavanserin in relation to conventional therapies such as atypical antipsychotics are discussed..
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Affiliation(s)
- Corinne E Fischer
- Keenan Research Centre for Biomedical Science, Room 17044 cc wing, St. Michaels Hospital, #30 Bond St., Toronto, Ontario, M5B1W8, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada.
| | - Andrew Namasivayam
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Lucas Crawford-Holland
- Keenan Research Centre for Biomedical Science, Room 17044 cc wing, St. Michaels Hospital, #30 Bond St., Toronto, Ontario, M5B1W8, Canada
| | - Narek Hakobyan
- Keenan Research Centre for Biomedical Science, Room 17044 cc wing, St. Michaels Hospital, #30 Bond St., Toronto, Ontario, M5B1W8, Canada
| | - Tom A Schweizer
- Keenan Research Centre for Biomedical Science, Room 17044 cc wing, St. Michaels Hospital, #30 Bond St., Toronto, Ontario, M5B1W8, Canada; St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada; Department of Neurosurgery, University of Toronto, Toronto, Canada
| | - David G Munoz
- Keenan Research Centre for Biomedical Science, Room 17044 cc wing, St. Michaels Hospital, #30 Bond St., Toronto, Ontario, M5B1W8, Canada; St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Bruce G Pollock
- Division of Geriatric Psychiatry, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, Ontario, M5T 1R8, Canada; Toronto Dementia Research Alliance, University of Toronto, Toronto, Ontario, Canada
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25
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Gu R, Zhu J, Zhong M, Jiang Y, Zhu S, Wang Y, Jiang X, Shen B, Yan J, Zhang L, Pan Y. Characteristics of sleep structure in Parkinson's disease patients with hallucinations based on polysomnography. Front Neurol 2022; 13:929569. [PMID: 36388202 PMCID: PMC9663659 DOI: 10.3389/fneur.2022.929569] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 10/10/2022] [Indexed: 04/07/2024] Open
Abstract
Hallucination is a common non-motor symptom in patients with Parkinson's disease (PD). Additionally, sleep disorders are associated with an increased risk of hallucinations in PD patients. This study aimed to examine the association between hallucination and objective sleep parameters in PD patients. We retrospectively recruited 278 PD patients who underwent polysomnography and clinical assessments and classified them into non-hallucination and hallucination groups. Hallucinations were observed in 77 older PD patients who had more severe motor symptoms and higher scores on the Non-Motor Symptoms Questionnaire (NMSQ), Hamilton Depression Scale (HAMD) and Hamilton Anxiety Scale (HAMA) but lower scores on the Montreal Cognitive Assessment (MOCA) and PD Sleep Scale (PDSS) than PD patients without hallucinations. Analysis of the polysomnographic variables in patients with hallucinations showed that they exhibited a decrease in total sleep time, sleep efficiency (SE), rapid eye movement (REM) sleep time and slow wave sleep (SWS, N3) time and percentage but a significant increase in wake time after sleep onset (WASO), periodic limb movement index (PLMI) scores, and stage 2 NREM (N2)percentage. Logistic regression analysis revealed that higher NMSQ scores, lower MOCA scores, lower SE, and a lower percentage of N3 sleep were associated with hallucinations in PD patients. Our results suggested that PD patients with hallucinations had worse sleep quality and differences in sleep architecture (measured by polysomnography).
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Affiliation(s)
- Ruxin Gu
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Jun Zhu
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Min Zhong
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yinyin Jiang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Sha Zhu
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yaxi Wang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Xu Jiang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Bo Shen
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Jun Yan
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Li Zhang
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
- Institute of Neuropsychiatric Diseases, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Yang Pan
- Department of Geriatric Neurology, Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
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26
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Komagamine T, Suzuki K, Kokubun N, Komagamine J, Kawasaki A, Funakoshi K, Hirata K. Sleep-related hallucinations in patients with Parkinson's disease. PLoS One 2022; 17:e0276736. [PMID: 36282859 PMCID: PMC9595548 DOI: 10.1371/journal.pone.0276736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 10/12/2022] [Indexed: 01/24/2023] Open
Abstract
Given that sleep-wake cycle dysfunction can cause hallucinations in Parkinson's disease patients, sleep-related hallucinations may be a different subtype from hallucinations that occur only during full wakefulness. However, few studies that distinguish the onset situations of hallucinations related to sleep from those that occur in full wakefulness have been conducted to investigate hallucinations in Parkinson's disease patients. Therefore, we conducted a multicenter observational study to investigate the prevalence of and factors associated with sleep-related hallucinations in patients with Parkinson's disease. Information on hallucinations was collected by using a questionnaire and face-to-face interviews. Of 100 consecutive patients with Parkinson's disease, 29 (29%) reported sleep-related hallucinations, and 16 (16%) reported hallucinations only in the full wakefulness. A longer duration of Parkinson's disease treatment (OR 1.35, 95% CI 1.07 to 1.72), higher Beck Depression Inventory-II scores (OR 1.07; 95% CI 1.01 to 1.14), and higher rapid eye movement sleep behavior disorder scores (OR 5.60; 95% CI 1.54 to 20.38) were independent factors associated with the presence of sleep-related hallucinations in a multivariable analysis. Sleep-related hallucinations, but not daytime hallucinations, were associated with probable rapid eye movement sleep behavior disorder. Phenomenological discrimination between sleep-related hallucinations and daytime hallucinations is important for elucidating the full pathology in Parkinson's disease and the mechanisms underlying hallucinations.
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Affiliation(s)
- Tomoko Komagamine
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
- Department of Internal Medicine, National Hospital Organization Tochigi Medical Center, Tochigi, Japan
- * E-mail:
| | - Keisuke Suzuki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Norito Kokubun
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Junpei Komagamine
- Department of Internal Medicine, National Hospital Organization Tochigi Medical Center, Tochigi, Japan
| | - Akiko Kawasaki
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Kei Funakoshi
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
| | - Koichi Hirata
- Department of Neurology, Dokkyo Medical University, Tochigi, Japan
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27
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Zhang S, Ma Y. Emerging role of psychosis in Parkinson's disease: From clinical relevance to molecular mechanisms. World J Psychiatry 2022; 12:1127-1140. [PMID: 36186499 PMCID: PMC9521528 DOI: 10.5498/wjp.v12.i9.1127] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/12/2022] [Accepted: 08/18/2022] [Indexed: 02/05/2023] Open
Abstract
Parkinson’s disease (PD) is the second most common neurodegenerative disease. Psychosis is one of the common psychiatric presentations in the natural course of PD. PD psychosis is an important non-motor symptom, which is strongly correlated with a poor prognosis. Increasing attention is being given to PD psychosis. In this opinion review, we summarized and analyzed the identification, screening, epidemiology, mechanisms, risk factors, and therapeutic approaches of PD psychosis based on the current clinical evidence. PD psychosis tends to have a negative effect on patients' quality of life and increases the burden of family caregiving. Screening and identification in the early stage of disease is crucial for establishing tailored therapeutic strategies and predicting the long-term outcome. Development of PD psychosis is believed to involve a combination of exogenous and endogenous mechanisms including imbalance of neurotransmitters, structural and network changes, genetic profiles, cognitive impairment, and antiparkinsonian medications. The therapeutic strategy for PD psychosis includes reducing or ceasing the use of dopaminergic drug, antipsychotics, cholinesterase inhibitors, and non-pharmacological interventions. Ongoing clinical trials are expected to provide new insights for tailoring therapy for PD psychosis. Future research based on novel biomarkers and genetic factors may help inform individualized therapeutic strategies.
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Affiliation(s)
- Shuo Zhang
- Department of Neurology, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China
| | - Yan Ma
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang 110004, Liaoning Province, China
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28
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Zhong M, Li C, Lu H, Xue D, Wang Y, Jiang Y, Zhu S, Gu R, Jiang X, Shen B, Zhu J, Zhang W, Pan Y, Yan J, Zhang L. Aberrant gray matter volume and functional connectivity in Parkinson’s disease with minor hallucination. Front Aging Neurosci 2022; 14:923560. [PMID: 36185475 PMCID: PMC9522711 DOI: 10.3389/fnagi.2022.923560] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundMinor hallucination (MH) is the most common psychotic symptom in Parkinson’s disease (PD); it can develop into well-structured visual hallucination (VH), suggesting that MH may be a staccato form of well-structured VH. However, it remains unclear whether the pathogenesis is the same. Therefore, the aim of this study was to investigate the altered gray matter volume (GMV) and functional connectivity (FC) of MH in PD to further understand the complex mechanisms.Materials and methodsWe included 67 PD patients who attended the outpatient clinic of Nanjing Medical University Affiliated Brain Hospital and recruited 31 healthy controls (HC). Demographic data and clinical characteristics of all subjects were recorded, and cranial structural magnetic resonance imaging (MRI) and resting-state functional MRI data were acquired. Patients were classified into the PD with MH (PD-MH) group and PD without hallucinations or delusions (PD-NH) group. Voxel-based morphometry was used to analyze the differences in GMV in the structural pattern. Seed-based FC was used to analyze the functional pattern. Gaussian random field correction was used, with voxel level P < 0.001 and cluster level P < 0.05 representing statistically significant differences. Finally, the correlation between FC values and scores on the clinical characteristics assessment scale was analyzed.ResultsIn the GMV analysis, compared to the PD-NH group, the PD-MH group had reduced GMV in the medial superior frontal gyrus (SFGmed). In the FC analysis, the FC between the SFGmed and the left middle occipital gyrus and right calcarine sulcus decreased in the PD-MH group compared with the PD-NH group, while the FC between SFGmed and the left middle temporal gyrus increased. Correlation analysis revealed that the FC values of the SFGmed and right calcarine sulcus were correlated with the assessment scores for anxiety and sleep symptoms. The FC values of the SFGmed and left middle occipital gyrus were correlated with assessment scores for rapid eye movement disorder.ConclusionThe aberrant structure and function of the default mode network and visual processing areas seems to facilitate the generation of MH in PD, as the alteration was previously found in well-structured VH, suggesting that the two hallucinations have similar pathophysiological mechanisms.
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Affiliation(s)
- Min Zhong
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chenglin Li
- Department of Radiology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Hongquan Lu
- Department of Radiology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Donghui Xue
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yaxi Wang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yinyin Jiang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Sha Zhu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Ruxin Gu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xu Jiang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Bo Shen
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jun Zhu
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Wenbin Zhang
- Department of Neurosurgery, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yang Pan
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Jun Yan
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Li Zhang
- Department of Geriatric Neurology, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Institute of Neuropsychiatric Diseases, Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Li Zhang,
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Bernasconi F, Blondiaux E, Rognini G, Dhanis H, Jenni L, Potheegadoo J, Hara M, Blanke O. Neuroscience robotics for controlled induction and real-time assessment of hallucinations. Nat Protoc 2022; 17:2966-2989. [PMID: 36097181 DOI: 10.1038/s41596-022-00737-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Accepted: 06/16/2022] [Indexed: 11/09/2022]
Abstract
Although hallucinations are important and frequent symptoms in major psychiatric and neurological diseases, little is known about their brain mechanisms. Hallucinations are unpredictable and private experiences, making their investigation, quantification and assessment highly challenging. A major shortcoming in hallucination research is the absence of methods able to induce specific and short-lasting hallucinations, which resemble clinical hallucinations, can be elicited repeatedly and vary across experimental conditions. By integrating clinical observations and recent advances in cognitive neuroscience with robotics, we have designed a novel device and sensorimotor method able to repeatedly induce a specific, clinically relevant hallucination: presence hallucination. Presence hallucinations are induced by applying specific conflicting (spatiotemporal) sensorimotor stimulation including an upper extremity and the torso of the participant. Another, MRI-compatible, robotic device using similar sensorimotor stimulation permitted the identification of the brain mechanisms of these hallucinations. Enabling the identification of behavioral and a frontotemporal neural biomarkers of hallucinations, under fully controlled experimental conditions and in real-time, this method can be applied in healthy participants as well as patients with schizophrenia, neurodegenerative disease or other hallucinations. The execution of these protocols requires intermediate-level skills in cognitive neuroscience and MRI processing, as well as minimal coding experience to control the robotic device. These protocols take ~3 h to be completed.
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Affiliation(s)
- Fosco Bernasconi
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Eva Blondiaux
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Giulio Rognini
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Herberto Dhanis
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Laurent Jenni
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Jevita Potheegadoo
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland
| | - Masayuki Hara
- Graduate School of Science and Engineering, Saitama University, Saitama, Japan
| | - Olaf Blanke
- Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland. .,Department of Clinical Neurosciences, Geneva University Hospital, Geneva, Switzerland.
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30
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Bejr-Kasem H, Martínez-Horta S, Pagonabarraga J, Marín-Lahoz J, Horta-Barba A, Sampedro F, Aracil-Bolaños I, Pérez-Pérez J, Campolongo A, Izquierdo C, Pascual-Sedano B, Kulisevsky J. The role of attentional control over interference in minor hallucinations in Parkinson's disease. Parkinsonism Relat Disord 2022; 102:101-107. [PMID: 35987038 DOI: 10.1016/j.parkreldis.2022.07.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2022] [Revised: 07/10/2022] [Accepted: 07/16/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Minor hallucinations in Parkinson's disease are associated with connectivity changes in attentional networks and increased risk of structured hallucinations. However, the clinical translation of these abnormalities in attention processes is not well-defined, and commonly used neuropsychological tests are not able to detect significant deficits in Parkinson's disease patients with isolated minor hallucinations. OBJECTIVES To analyze the behavioral and electrophysiological correlates of minor hallucinations in Parkinson's disease during an attentional task assessing response inhibition and interference control. METHODS Fifty-five non-demented Parkinson's disease patients with (PD-mH; n = 27) and without minor hallucinations (PD-NH; n = 28) were included in the analysis. An Ericksen flanker task was performed to compare the effect of presenting congruent and incongruent stimuli on accuracy, reaction times and stimulus-locked event-related potentials morphology. RESULTS Although both groups showed equivalent performance in a standard neuropsychological assessment, in the flanker task accuracy rates were lower in the PD-mH group in incongruent trials (p = 0.005). In the event-related potentials, PD-mH patients showed increased amplitude of the N2 at Fz [t(53); p < 0.05] and decreased amplitude of the P300 at Pz [t(53); p < 0.05] for the incongruent trials. CONCLUSIONS Parkinson's disease patients with isolated minor hallucinations were more susceptible to interference mediated by irrelevant stimuli and had less cognitive control for suppressing these interferences. The failure of these systems could precipitate the intrusion and overrepresentation of peripheral irrelevant stimuli perceived as minor hallucinations. The Ericksen flanker task could be used as a sensitive clinical marker of the attentional defects leading to hallucinations in Parkinson's disease.
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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.), Medicine Department. Barcelona, Spain; Institut d'Investigacions Biomèdiques- Sant Pau (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, Spain; Hospital Universitari de Vic, Barcelona, Spain
| | - Saül Martínez-Horta
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Medicine Department. Barcelona, Spain; Institut d'Investigacions Biomèdiques- Sant Pau (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Medicine Department. Barcelona, Spain; Institut d'Investigacions Biomèdiques- Sant Pau (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain.
| | - Juan Marín-Lahoz
- Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Neurology Department, Miguel Servet University Hospital, Zaragoza, Spain; Instituto de Investigación Sanitaria de Aragón, Zaragoza, Spain
| | - Andrea Horta-Barba
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Medicine Department. Barcelona, Spain; Institut d'Investigacions Biomèdiques- Sant Pau (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Frederic Sampedro
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Medicine Department. Barcelona, Spain; Institut d'Investigacions Biomèdiques- Sant Pau (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain
| | - Ignacio Aracil-Bolaños
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Medicine Department. Barcelona, Spain; Institut d'Investigacions Biomèdiques- Sant Pau (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Jesús Pérez-Pérez
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Medicine Department. Barcelona, Spain; Institut d'Investigacions Biomèdiques- Sant Pau (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), 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), Spain; Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, 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), Spain; Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Berta Pascual-Sedano
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Medicine Department. Barcelona, Spain; Institut d'Investigacions Biomèdiques- Sant Pau (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Sant Pau Hospital, Barcelona, Spain; Universitat Autònoma de Barcelona (U.A.B.), Medicine Department. Barcelona, Spain; Institut d'Investigacions Biomèdiques- Sant Pau (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
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31
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Agüera-Ortiz L, Babulal GM, Bruneau MA, Creese B, D'Antonio F, Fischer CE, Gatchel JR, Ismail Z, Kumar S, McGeown WJ, Mortby ME, Nuñez NA, de Oliveira FF, Pereiro AX, Ravona-Springer R, Rouse HJ, Wang H, Lanctôt KL. Psychosis as a Treatment Target in Dementia: A Roadmap for Designing Interventions. J Alzheimers Dis 2022; 88:1203-1228. [PMID: 35786651 PMCID: PMC9484097 DOI: 10.3233/jad-215483] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Psychotic phenomena are among the most severe and disruptive symptoms of dementias and appear in 30% to 50% of patients. They are associated with a worse evolution and great suffering to patients and caregivers. Their current treatments obtain limited results and are not free of adverse effects, which are sometimes serious. It is therefore crucial to develop new treatments that can improve this situation. We review available data that could enlighten the future design of clinical trials with psychosis in dementia as main target. Along with an explanation of its prevalence in the common diseases that cause dementia, we present proposals aimed at improving the definition of symptoms and what should be included and excluded in clinical trials. A review of the available information regarding the neurobiological basis of symptoms, in terms of pathology, neuroimaging, and genomics, is provided as a guide towards new therapeutic targets. The correct evaluation of symptoms is transcendental in any therapeutic trial and these aspects are extensively addressed. Finally, a critical overview of existing pharmacological and non-pharmacological treatments is made, revealing the unmet needs, in terms of efficacy and safety. Our work emphasizes the need for better definition and measurement of psychotic symptoms in dementias in order to highlight their differences with symptoms that appear in non-dementing diseases such as schizophrenia. Advances in neurobiology should illuminate the development of new, more effective and safer molecules for which this review can serve as a roadmap in the design of future clinical trials.
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Affiliation(s)
- Luis Agüera-Ortiz
- Department of Psychiatry, Instituto de Investigación Sanitaria (imas12), Hospital Universitario 12 de Octubre, & Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Instituto de Salud Carlos III, Madrid, Spain
| | - Ganesh M Babulal
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA.,Department of Clinical Research and Leadership, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.,Department of Psychology, Faculty of Humanities, University of Johannesburg, South Africa
| | - Marie-Andrée Bruneau
- Department of Psychiatry and Addictology, Faculty of Medicine, University of Montreal, Quebec, Canada.,Geriatric Institute of Montreal Research Center, Montreal, Quebec, Canada
| | - Byron Creese
- Medical School, College of Medicine and Health, University of Exeter, UK
| | | | - Corinne E Fischer
- Keenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, Ontario, Canada.,University of Toronto, Department of Psychiatry, Toronto, Ontario, Canada
| | - Jennifer R Gatchel
- Harvard Medical School; Massachusetts General Hospital, Boston MA, USA.,McLean Hospital, Belmont MA, USA
| | - Zahinoor Ismail
- Hotchkiss Brain Institute & O'Brien Institute for Public Health, University of Calgary, Calgary, Canada
| | - Sanjeev Kumar
- Adult Neurodevelopmental and Geriatric Psychiatry Division, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - William J McGeown
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK
| | - Moyra E Mortby
- School of Psychology, University of New South Wales, Sydney, Australia & Neuroscience Research Australia, Sydney, Australia
| | - Nicolas A Nuñez
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA
| | - Fabricio F de Oliveira
- Department of Neurology and Neurosurgery, Escola Paulista de Medicina, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| | - Arturo X Pereiro
- Facultade de Psicoloxía, Universidade de Santiago de Compostela, Spain
| | - Ramit Ravona-Springer
- Sheba Medical Center, Tel Hashomer, Israel & Sackler School of Medicine, Tel Aviv University, Israel
| | - Hillary J Rouse
- School of Aging Studies, University of South Florida, Tampa, FL, USA.,SiteRx, New York, NY, USA
| | - Huali Wang
- Dementia Care and Research Center, Peking University Institute of Mental Health; National & Clinical Research Center for Mental Disorders, Beijing, China
| | - Krista L Lanctôt
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute and Departments of Psychiatry and Pharmacology, University of Toronto, Toronto, Ontario, Canada
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Kratter IH, Karp JF, Chang YF, Whiteman AC, Feyder MT, Jorge A, Richardson RM, Henry LC. Association of Preoperative Visual Hallucinations With Cognitive Decline After Deep Brain Stimulation for Parkinson's Disease. J Neuropsychiatry Clin Neurosci 2022; 33:144-151. [PMID: 33203305 DOI: 10.1176/appi.neuropsych.20040077] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Deep brain stimulation (DBS) is effective for the motor symptoms of Parkinson's disease (PD). Although most patients benefit with minimal cognitive side effects, cognitive decline is a risk, and there is little available evidence to guide preoperative risk assessment. Visual illusions or visual hallucinations (VHs) and impulse-control behaviors (ICBs) are relatively common complications of PD and its treatment and may be a marker of more advanced disease, but their relationship with postoperative cognition has not been established. The authors aimed to determine whether any preoperative history of VHs or ICBs is associated with cognitive change after DBS. METHODS Retrospective chart review identified 54 patients with PD who received DBS of the subthalamic nucleus or globus pallidus internus and who completed both pre- and postoperative neuropsychological testing. Linear regression models were used to assess whether any preoperative history of VHs or ICBs was associated with changes in attention, executive function, language, memory, or visuospatial cognitive domains while controlling for surgical target and duration between evaluations. RESULTS The investigators found that a history of VHs was associated with declines in attention (b=-4.04, p=0.041) and executive function (b=-4.24, p=0.021). A history of ICBs was not associated with any significant changes. CONCLUSIONS These results suggest that a history of VHs may increase risk of cognitive decline after DBS; thus, specific preoperative counseling and targeted remediation strategies for these patients may be indicated. In contrast, a history of ICBs does not appear to be associated with increased cognitive risk.
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Affiliation(s)
- Ian H Kratter
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Kratter, Karp); Department of Neurological Surgery, Brain Modulation Laboratory, University of Pittsburgh School of Medicine (Kratter, Chang, Whiteman, Feyder, Jorge, Henry); Department of Neurosurgery, Massachusetts General Hospital, Boston (Richardson); University of Arizona College of Medicine, Department of Psychiatry, Tucson (Karp); and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Kratter)
| | - Jordan F Karp
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Kratter, Karp); Department of Neurological Surgery, Brain Modulation Laboratory, University of Pittsburgh School of Medicine (Kratter, Chang, Whiteman, Feyder, Jorge, Henry); Department of Neurosurgery, Massachusetts General Hospital, Boston (Richardson); University of Arizona College of Medicine, Department of Psychiatry, Tucson (Karp); and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Kratter)
| | - Yue-Fang Chang
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Kratter, Karp); Department of Neurological Surgery, Brain Modulation Laboratory, University of Pittsburgh School of Medicine (Kratter, Chang, Whiteman, Feyder, Jorge, Henry); Department of Neurosurgery, Massachusetts General Hospital, Boston (Richardson); University of Arizona College of Medicine, Department of Psychiatry, Tucson (Karp); and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Kratter)
| | - Ashley C Whiteman
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Kratter, Karp); Department of Neurological Surgery, Brain Modulation Laboratory, University of Pittsburgh School of Medicine (Kratter, Chang, Whiteman, Feyder, Jorge, Henry); Department of Neurosurgery, Massachusetts General Hospital, Boston (Richardson); University of Arizona College of Medicine, Department of Psychiatry, Tucson (Karp); and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Kratter)
| | - Michael T Feyder
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Kratter, Karp); Department of Neurological Surgery, Brain Modulation Laboratory, University of Pittsburgh School of Medicine (Kratter, Chang, Whiteman, Feyder, Jorge, Henry); Department of Neurosurgery, Massachusetts General Hospital, Boston (Richardson); University of Arizona College of Medicine, Department of Psychiatry, Tucson (Karp); and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Kratter)
| | - Ahmed Jorge
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Kratter, Karp); Department of Neurological Surgery, Brain Modulation Laboratory, University of Pittsburgh School of Medicine (Kratter, Chang, Whiteman, Feyder, Jorge, Henry); Department of Neurosurgery, Massachusetts General Hospital, Boston (Richardson); University of Arizona College of Medicine, Department of Psychiatry, Tucson (Karp); and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Kratter)
| | - R Mark Richardson
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Kratter, Karp); Department of Neurological Surgery, Brain Modulation Laboratory, University of Pittsburgh School of Medicine (Kratter, Chang, Whiteman, Feyder, Jorge, Henry); Department of Neurosurgery, Massachusetts General Hospital, Boston (Richardson); University of Arizona College of Medicine, Department of Psychiatry, Tucson (Karp); and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Kratter)
| | - Luke C Henry
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh (Kratter, Karp); Department of Neurological Surgery, Brain Modulation Laboratory, University of Pittsburgh School of Medicine (Kratter, Chang, Whiteman, Feyder, Jorge, Henry); Department of Neurosurgery, Massachusetts General Hospital, Boston (Richardson); University of Arizona College of Medicine, Department of Psychiatry, Tucson (Karp); and Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, Calif. (Kratter)
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33
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Elevation of Plasma Homocysteine and Minor Hallucinations in Parkinson’s Disease: A Cross-Sectional Study. Behav Neurol 2022; 2022:4797861. [PMID: 35295686 PMCID: PMC8920637 DOI: 10.1155/2022/4797861] [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: 12/25/2021] [Revised: 02/09/2022] [Accepted: 02/11/2022] [Indexed: 11/22/2022] Open
Abstract
Purpose Minor hallucinations (MHs) are the most common psychotic phenomena in Parkinson's disease (PD), and it has important clinical and prognostic implications in PD. Plasma homocysteine (Hcy) has been reported to predict the outcome of PD; whether or not Hcy is associated with MH is not known. We aim to investigate the Hcy level and related factors in patients with PD and MH. Methods We conducted a cross-sectional study and included 99 patients with PD, 34 with MH, and 65 without any hallucinations. The clinical and demographic data of the patients with and without hallucinations were compared. Hcy-related clinical factors were also analyzed. Results The plasma Hcy level was higher in MH patients than in patients without hallucinations, and the result was more pronounced in male patients than in female patients. Differences were also observed when the groups were divided on the basis of levodopa equivalent daily dose and disease duration. The high Hcy concentration was correlated with some symptoms in patients with MH, including motor dysfunction and nonmotor symptoms, such as symptoms of the gastrointestinal tract, angiocarpy, sleep/fatigue, and poor visuospatial/executive function. Conclusions Results indicated a higher plasma Hcy concentration in MH patients than in their counterparts and revealed that Hcy is associated with certain motor and nonmotor symptoms in patients with MH. Hcy may be a marker of MH and have important therapeutic implications in PD.
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Hemmings SMJ, Swart P, Womersely JS, Ovenden ES, van den Heuvel LL, McGregor NW, Meier S, Bardien S, Abrahams S, Tromp G, Emsley R, Carr J, Seedat S. RNA-seq analysis of gene expression profiles in posttraumatic stress disorder, Parkinson's disease and schizophrenia identifies roles for common and distinct biological pathways. DISCOVER MENTAL HEALTH 2022; 2:6. [PMID: 37861850 PMCID: PMC10501040 DOI: 10.1007/s44192-022-00009-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/14/2022] [Indexed: 10/21/2023]
Abstract
Evidence suggests that shared pathophysiological mechanisms in neuropsychiatric disorders (NPDs) may contribute to risk and resilience. We used single-gene and network-level transcriptomic approaches to investigate shared and disorder-specific processes underlying posttraumatic stress disorder (PTSD), Parkinson's disease (PD) and schizophrenia in a South African sample. RNA-seq was performed on blood obtained from cases and controls from each cohort. Gene expression and weighted gene correlation network analyses (WGCNA) were performed using DESeq2 and CEMiTool, respectively. Significant differences in gene expression were limited to the PTSD cohort. However, WGCNA implicated, amongst others, ribosomal expression, inflammation and ubiquitination as key players in the NPDs under investigation. Differential expression in ribosomal-related pathways was observed in the PTSD and PD cohorts, and focal adhesion and extracellular matrix pathways were implicated in PD and schizophrenia. We propose that, despite different phenotypic presentations, core transdiagnostic mechanisms may play important roles in the molecular aetiology of NPDs.
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Affiliation(s)
- Sian M J Hemmings
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa.
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa.
| | - Patricia Swart
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
| | - Jacqueline S Womersely
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
| | - Ellen S Ovenden
- Systems Genetics Working Group, Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Leigh L van den Heuvel
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
| | - Nathaniel W McGregor
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
- Systems Genetics Working Group, Department of Genetics, Stellenbosch University, Stellenbosch, South Africa
| | - Stuart Meier
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Cape Town, South Africa
- South African Tuberculosis Bioinformatics Initiative, Stellenbosch University, Cape Town, South Africa
| | - Soraya Bardien
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa
| | - Shameemah Abrahams
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa
| | - Gerard Tromp
- Division of Molecular Biology and Human Genetics, Department of Biomedical Sciences, Stellenbosch University, Cape Town, South Africa
- DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, Stellenbosch University, Cape Town, South Africa
- South African Medical Research Council Centre for Tuberculosis Research, Stellenbosch University, Cape Town, South Africa
- South African Tuberculosis Bioinformatics Initiative, Stellenbosch University, Cape Town, South Africa
- Centre for Bioinformatics and Computational Biology, Stellenbosch University, Stellenbosch, South Africa
| | - Robin Emsley
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
| | - Jonathan Carr
- Division of Neurology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Soraya Seedat
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Cape Town, 8000, South Africa
- South African Medical Research Council/Stellenbosch University Genomics of Brain Disorders Research Unit, Stellenbosch University, Cape Town, South Africa
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Sumi Y, Ubara A, Ozeki Y, Kadotani H. Minor hallucinations in isolated rapid eye movement sleep behavior disorder indicative of early phenoconversion: A preliminary study. Acta Neurol Scand 2022; 145:348-359. [PMID: 34816426 DOI: 10.1111/ane.13555] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 11/01/2021] [Accepted: 11/07/2021] [Indexed: 11/27/2022]
Abstract
OBJECTIVES Minor hallucinations (MH) are psychotic symptoms that can occur anywhere between prodromal to early Parkinson's disease and after onset of motor problems. MH include visual illusions, presence hallucinations, and passage hallucinations. Isolated rapid eye movement sleep behavior disorder (RBD) is a harbinger of neurodegenerative diseases. We conducted a retrospective cohort study to investigate the clinical characteristics of isolated RBD with MH and the risk of phenoconversion. MATERIALS AND METHODS We retrospectively analyzed the data of 36 patients with isolated RBD (four females; median age, 75.0 years). We defined cases reporting at least one minor hallucination as RBD with MH. Demographic data and cognitive function were compared between patients with and without MH, and Cox proportional hazards models estimated the risk of phenoconversion. RESULTS We included 10 (27.8%) patients with MH and 26 (72.2%) without MH. Patients with MH were older, had less dopamine transporter accumulation, more severe autonomic dysfunction, more depressive symptoms, and lower verbal fluency and symbol coding test scores than patients without MH. After follow-up (median, 2.50 years), 13.9% (5/36) of all patients developed phenoconversion (Parkinson's disease, two patients; dementia with Lewy bodies, three patients). The rate of phenoconversion was significantly higher in patients with MH (40.0% vs. 3.8%, p = .005). The Cox proportional hazards model adjusted for age, sex, and disease duration revealed that MH was a significant risk factor for phenoconversion (hazard ratio, 14.72; 95% confidence interval, 1.35-160.5). CONCLUSIONS Minor hallucinations may be utilized as early clinical markers for prodromal estimation of neurodegenerative diseases.
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Affiliation(s)
- Yukiyoshi Sumi
- Department of Psychiatry Shiga University of Medical Science Shiga Japan
| | - Ayaka Ubara
- Department of Psychiatry Shiga University of Medical Science Shiga Japan
- Graduate School of Psychology Doshisha University Kyoto Japan
- Japan Society for the Promotion of Science Research Fellowships Tokyo Japan
| | - Yuji Ozeki
- Department of Psychiatry Shiga University of Medical Science Shiga Japan
| | - Hiroshi Kadotani
- Department of Psychiatry Shiga University of Medical Science Shiga Japan
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Poisson A, Thobois S. Allucinazioni e morbo di Parkinson. Neurologia 2022. [DOI: 10.1016/s1634-7072(21)45999-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Visual hallucinations in Lewy body disease: pathophysiological insights from phenomenology. J Neurol 2022; 269:3636-3652. [PMID: 35099586 PMCID: PMC9217885 DOI: 10.1007/s00415-022-10983-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 01/16/2022] [Accepted: 01/19/2022] [Indexed: 11/13/2022]
Abstract
Visual hallucinations (VH) in Lewy body disease (LBD) have a heterogenous phenomenology classified into minor phenomena (MVH) and complex hallucinations (CVH). Mechanisms underpinning VH and their temporal aspects are largely unknown. According to the hodotopic model, we investigated whether changes in distinct cognitive domains and neural networks in the hallucination trait underpin temporal aspects of MVH and CVH in the hallucination state. 35 LBD patients with VH underwent a complete neuropsychological evaluation and resting-state fMRI. North-East-Visual-Hallucinations-Interview was used to assess their typical VH content, duration, and frequency. We found that MVH was not associated with cognitive impairment, while CVH was associated with impairments in visuoperceptual processes, attention and visual abstract reasoning. In seed-to-seed functional connectivity (FC) analysis we identified functional couplings associated with MVH and CVH temporal severity (duration x frequency), duration and frequency. MVH severity was negatively associated with FC between early visual areas (EVA) and ventral-visual-stream regions, and negatively associated with FC between brainstem and EVA, which may be linked to LBD brainstem neuropathology. CVH duration was positively associated with FC between ventral-visual stream and salience network (SN). CVH frequency was negatively associated with FC between DMN and SN. Functional alterations in distinct visual and attentional networks and their dynamic interaction in trait LBD hallucinators are linked to both the phenomenology of state content and its temporal characteristics. Within a network, VH frequency and duration may be linked to different types of functional alterations: increased connectivity leading to sustained activity prolonging VH (duration) and decreased connectivity increasing dysregulated, spontaneous activity (frequency). These findings support the hodotopic hypothesis of VH and may reflect a link between VH phenomenology, LBD neuropathological progression and the involvement of specific neurotransmitter systems.
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Zhang Y, Zhang GY, Zhu XB, Zhang ZE, Gan J, Liu ZG. Clinical Characteristics of Minor Hallucinations in Chinese Parkinson's Disease Patients. Front Aging Neurosci 2022; 13:723405. [PMID: 35126085 PMCID: PMC8810481 DOI: 10.3389/fnagi.2021.723405] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 12/15/2021] [Indexed: 11/13/2022] Open
Abstract
Background Psychotic symptoms are common in Parkinson's disease (PD). However, the clinical characteristics of PD psychosis (PDP) have been rarely reported in Chinese PD patients. We aimed to categorize PDP in a PD cohort and its relationship to other clinical characteristics. Methods A total of 149 Chinese PD patients were consecutively enrolled, and idiopathic PD patients were recruited in the study. The symptoms of PDP were assessed with the enhanced Scale for the Assessment of Positive Symptoms in PD. Then, the patients were classified into a PD-control group, isolated minor hallucination (MH) group, and complex MH group, and clinical and demographic data of different groups were compared. Results Parkinson's disease psychosis was present in 40.3% (60/149) of our patients. The most common PDPs were MHs, present in 32.9% (49 of 149) of the cohort. Compared to patients without MHs, patients with MHs were older, had a longer disease duration, a higher levodopa equivalent daily dose, more severe motor symptoms, dyskinesia, a higher rate of rapid eye movement sleep behavior disorders, frontal lobe function impairments, and a higher percentage of cognitive impairment. Logistic regression analysis showed that advanced Hoehn-Yahr stage [odds ratio (OR): 2.697, p = 0.007)] and frontal lobe function impairment (OR: 0.684, p = 0.003) were independent risk factors for MHs. Conclusion MHs were frequent non-motor symptoms in PD patients. It was associated with increased motor and non-motor symptom burdens and reduced quality of life. MHs have been called “minor,” but they have major clinical and prognostic implications and need early screening.
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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: CLINICAL 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] [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] Open
Abstract
Our review produced ten resting functional magnetic resonance imaging studies. Most of the included studies focused on synucleinopathies and visual hallucinations. Disrupted Default Mode and attentional networks can be involved in hallucinations. The intrusion of predictive processes can be responsible for hallucination phenomena. Studies on hallucinations in tauopathies and different sensory modality are needed.
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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Diederich NJ. [Causes of visual hallucinations in Parkinson's disease]. DER NERVENARZT 2022; 93:392-401. [PMID: 34342675 PMCID: PMC9010390 DOI: 10.1007/s00115-021-01165-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 05/17/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Visual hallucinations (VH) have mainly been considered as late symptoms of Parkinson's disease (PD); however, minor forms of VH also occur in early stages of the disease. Initially dopaminergic overstimulation was discussed as the cause and later on VH have been considered as an early red flag of dementia in PD. OBJECTIVE The present study analyzed whether the pathophysiological concept of VH has been enlarged in recent years. MATERIAL AND METHODS Clinical, pharmacological, neuropathological as well as functional magnetic resonance imaging studies dealing with VH were reviewed. A systematic classification in monomodal and multimodal models of VH is proposed. The applicability to various forms of VH and various triggering situations is critically examined. RESULTS Reduction of the visual information input, erroneous visual processing, attention deficits, and dysfunctional connectivity between various cerebral networks have been shown. There is partial overlapping with the Lhermitte syndrome and the Charles Bonnet syndrome. No model is able to fully explain all VH variants. Not all VH have the same pathogenesis and the same poor prognosis. CONCLUSION The chain of causes underlying VH is complex and can vary from patient to patient. So far the therapeutic applications are largely unexplored; however, there is preliminary evidence that beside adjustment of the medication, improvement of visual acuity, active involvement of the partner, and possibly, individually adaptable coping strategies could be successfully implemented.
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Affiliation(s)
- Nico J. Diederich
- Abteilung für Neurologie, Centre Hospitalier de Luxembourg, 4, rue Barblé, 1210 Luxemburg-Stadt, Luxemburg
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Nikitina A, Melnikova N, Moshetova L, Levin O. Visual disturbances in Parkinson’s disease. Zh Nevrol Psikhiatr Im S S Korsakova 2022; 122:5-11. [DOI: 10.17116/jnevro20221221125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Robotically-induced hallucination triggers subtle changes in brain network transitions. Neuroimage 2021; 248:118862. [PMID: 34971766 DOI: 10.1016/j.neuroimage.2021.118862] [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: 03/08/2021] [Revised: 11/19/2021] [Accepted: 12/23/2021] [Indexed: 01/20/2023] Open
Abstract
The perception that someone is nearby, although nobody can be seen or heard, is called presence hallucination (PH). Being a frequent hallucination in patients with Parkinson's disease, it has been argued to be indicative of a more severe and rapidly advancing form of the disease, associated with psychosis and cognitive decline. PH may also occur in healthy individuals and has recently been experimentally induced, in a controlled manner during fMRI, using MR-compatible robotics and sensorimotor stimulation. Previous neuroimaging correlates of such robot-induced PH, based on conventional time-averaged fMRI analysis, identified altered activity in the posterior superior temporal sulcus and inferior frontal gyrus in healthy individuals. However, no link with the strength of the robot-induced PH was observed, and such activations were also associated with other sensations induced by robotic stimulation. Here we leverage recent advances in dynamic functional connectivity, which have been applied to different psychiatric conditions, to decompose fMRI data during PH-induction into a set of co-activation patterns that are tracked over time, as to characterize their occupancies, durations, and transitions. Our results reveal that, when PH is induced, the identified brain patterns significantly and selectively increase their transition probabilities towards a specific brain pattern, centred on the posterior superior temporal sulcus, angular gyrus, dorso-lateral prefrontal cortex, and middle prefrontal cortex. This change is not observed in any other control conditions, nor is it observed in association with other sensations induced by robotic stimulation. The present findings describe the neural mechanisms of PH in healthy individuals and identify a specific disruption of the dynamics of network interactions, extending previously reported network dysfunctions in psychotic patients with hallucinations to an induced robot-controlled specific hallucination in healthy individuals.
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Abstract
INTRODUCTION Psychosis is one of the incapacitating nonmotor symptoms of Parkinson's disease (PD). Although several risk factors that include older age, rapid eye movement sleep behavior disorder, depression, and cognitive dysfunction have been identified, the exact neural correlates remain elusive. As cognitive impairment has a close association with psychosis in PD, it is useful to know the spectrum of cognitive impairment in PD patients with psychosis (PD-P). METHODS This cross-sectional study compared various cognitive parameters of PD-P (visual/minor hallucinations) and PD patients with no psychosis (PD-NP). A neuropsychological battery encapsulating several cognitive domains (executive, visuospatial, learning, and memory) was used for the cognitive assessment of 37 PD-P and 51 PD-NP patients who were matched for age, gender, education, and disease duration. RESULTS The two groups were comparable in terms of disease severity and stage. Although the groups had a comparable mean score on Montreal cognitive assessment, the PD-P group performed poorly in tests focused on executive function (color trail test, forward digit span), verbal learning and memory (Rey auditory and verbal learning test), and visuospatial functions (complex figure test, corsi block tapping test). Those with complex visual hallucinations performed poorly in the color trial test (part A) compared to those with minor hallucinations. CONCLUSION Psychosis is associated with a multidomain cognitive dysfunction in PD. All PD patients should undergo detailed cognitive assessment as cognitive dysfunction may be a marker of psychosis in the future. Additional longitudinal studies are warranted to obtain detailed insights into this issue.
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Rodriguez-Sanchez F, Rodriguez-Blazquez C, Bielza C, Larrañaga P, Weintraub D, Martinez-Martin P, Rizos A, Schrag A, Chaudhuri KR. Identifying Parkinson's disease subtypes with motor and non-motor symptoms via model-based multi-partition clustering. Sci Rep 2021; 11:23645. [PMID: 34880345 PMCID: PMC8654994 DOI: 10.1038/s41598-021-03118-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 11/29/2021] [Indexed: 12/27/2022] Open
Abstract
Identification of Parkinson's disease subtypes may help understand underlying disease mechanisms and provide personalized management. Although clustering methods have been previously used for subtyping, they have reported generic subtypes of limited relevance in real life practice because patients do not always fit into a single category. The aim of this study was to identify new subtypes assuming that patients could be grouped differently according to certain sets of related symptoms. To this purpose, a novel model-based multi-partition clustering method was applied on data from an international, multi-center, cross-sectional study of 402 Parkinson's disease patients. Both motor and non-motor symptoms were considered. As a result, eight sets of related symptoms were identified. Each of them provided a different way to group patients: impulse control issues, overall non-motor symptoms, presence of dyskinesias and pyschosis, fatigue, axial symptoms and motor fluctuations, autonomic dysfunction, depression, and excessive sweating. Each of these groups could be seen as a subtype of the disease. Significant differences between subtypes (P< 0.01) were found in sex, age, age of onset, disease duration, Hoehn & Yahr stage, and treatment. Independent confirmation of these results could have implications for the clinical management of Parkinson's disease patients.
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Affiliation(s)
| | - Carmen Rodriguez-Blazquez
- National Center of Epidemiology, Carlos III Institute of Health, Madrid, Spain
- Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health, Madrid, Spain
| | - Concha Bielza
- Computational Intelligence Group, Universidad Politécnica de Madrid, Madrid, Spain
| | - Pedro Larrañaga
- Computational Intelligence Group, Universidad Politécnica de Madrid, Madrid, Spain
| | - Daniel Weintraub
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, USA
| | - Pablo Martinez-Martin
- Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health, Madrid, Spain
| | - Alexandra Rizos
- King's College London, Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience and Parkinson's Foundation Centre of Excellence, King's College Hospital, London, UK
| | - Anette Schrag
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - K Ray Chaudhuri
- King's College London, Department of Neurosciences, Institute of Psychiatry, Psychology & Neuroscience and Parkinson's Foundation Centre of Excellence, King's College Hospital, London, UK
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Marques A, Taylor NL, Roquet D, Beze S, Chassain C, Pereira B, O'Callaghan C, Lewis SJG, Durif F. Structural and Functional Correlates of Hallucinations and Illusions in Parkinson's Disease. JOURNAL OF PARKINSONS DISEASE 2021; 12:397-409. [PMID: 34744050 DOI: 10.3233/jpd-212838] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Visual illusions (VI) in Parkinson's disease (PD) are generally considered as an early feature of the psychosis spectrum leading to fully formed visual hallucinations (VH), although this sequential relationship has not been clearly demonstrated. OBJECTIVE We aimed to determine whether there are any overlapping, potentially graded patterns of structural and functional connectivity abnormalities in PD with VI and with VH. Such a finding would argue for a continuum between these entities, whereas distinct imaging features would suggest different neural underpinnings for the phenomena. METHODS In this case control study, we compared structural and resting state functional MRI brain patterns of PD patients with VH (PD-H, n = 20), with VI (PD-I, n = 19), and without VH or VI (PD-C, n = 23). RESULTS 1) PD-H had hypo-connectivity between the ILO and anterior cingulate precuneus and parahippocampal gyrus compared to PD-C and PD-I; 2) In contrast, PD-I had hyper-connectivity between the inferior frontal gyrus and the postcentral gyrus compared to PD-C and PD-H. Moreover, PD-I had higher levels of functional connectivity between the amygdala, hippocampus, insula, and fronto-temporal regions compared to PD-H, together with divergent patterns toward the cingulate. 3) Both PD-I and PD-H had functional hypo-connectivity between the lingual gyrus and the parahippocampal region vs. PD-C, and no significant grey matter volume differences was observed between PD-I and PD-H. CONCLUSION Distinct patterns of functional connectivity characterized VI and VH in PD, suggesting that these two perceptual experiences, while probably linked and driven by at least some similar mechanisms, could reflect differing neural dysfunction.
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Affiliation(s)
- Ana Marques
- Forefront Parkinson's Disease Research Clinic, Brain and Mind Center, School of Medical Sciences, University ofSydney, Camperdown, Sydney, Australia.,Université Clermont Auvergne, IGCNC, InstitutPascal, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France
| | - Natasha L Taylor
- Forefront Parkinson's Disease Research Clinic, Brain and Mind Center, School of Medical Sciences, University ofSydney, Camperdown, Sydney, Australia
| | - Daniel Roquet
- Frontiers, Brain andMind Center, University of Sydney, Camperdown, Sydney, Australia
| | - Steven Beze
- Université Clermont Auvergne, IGCNC, InstitutPascal, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France
| | - Carine Chassain
- Université Clermont Auvergne, IGCNC, InstitutPascal, Clermont-Ferrand University Hospital, NeuroradiologyDepartment, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Bruno Pereira
- Clermont-Ferrand University Hospital, Biostatistics Department, Clermont-Ferrand, France
| | - Claire O'Callaghan
- Forefront Parkinson's Disease Research Clinic, Brain and Mind Center, School of Medical Sciences, University ofSydney, Camperdown, Sydney, Australia
| | - Simon J G Lewis
- Forefront Parkinson's Disease Research Clinic, Brain and Mind Center, School of Medical Sciences, University ofSydney, Camperdown, Sydney, Australia
| | - Franck Durif
- Université Clermont Auvergne, IGCNC, InstitutPascal, Clermont-Ferrand University Hospital, Neurology Department, Clermont-Ferrand, France
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Prevalence and Risk Factors for Minor Hallucinations in Patients with Parkinson's Disease. Behav Neurol 2021; 2021:3469706. [PMID: 34646400 PMCID: PMC8505047 DOI: 10.1155/2021/3469706] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 09/20/2021] [Indexed: 11/18/2022] Open
Abstract
Purpose As the most frequent and earliest type of psychotic phenomenon in Parkinson's disease (PD), minor hallucination (MH) can occur before the onset of motor symptoms. This sensation may be an early predictor of severe psychotic and cognitive states and is often overlooked in clinics. This study was aimed at providing a comprehensive and in-depth understanding of MHs. Patients and Methods. Demographic information was obtained from 262 patients with PD, and a series of clinical assessment questionnaires were provided. According to the result of the Movement Disorders Society Unified Parkinson's Disease Rating Scale Part I, the patients were classified into the MH and nonhallucination (NH) groups. Results MHs were the most common psychotic symptom with 38.9% prevalence. The most frequent MH was visual illusion, especially object misidentification. Three minor phenomena were somewhat consistent in terms of external factors, temporal factors, and content. Disease duration, daily levodopa equivalent dose, and percentage of levodopa and dopamine-receptor agonist use were remarkably greater in the MH group than in the NH group. After covariate control, the MH group had worse life quality and more severe nonmotor symptoms, including poor sleep quality and rapid eye movement sleep behavior disorder (RBD), than the NH group. The binary logistic regression model showed that RBD, sleep quality, and health-related life quality were associated with MHs. Conclusion A high prevalence of MHs was observed in patients with PD. Further studies are needed to confirm and expand the identified clinical factors related to MH, which have potential prognostic and therapeutic implication.
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Paulig M. Neuropsychiatrische Störungen bei idiopathischem Parkinson-Syndrom. NERVENHEILKUNDE 2021; 40:752-758. [DOI: 10.1055/a-1484-0686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
ZUSAMMENFASSUNGUnter nicht motorischen Symptomen nehmen neuropsychiatrische Störungen im gesamten Krankheitsverlauf eine herausragende Stellung ein. Sie sind nach wie vor unterdiagnostiziert, haben jedoch erhebliche Auswirkungen auf die Lebensqualität des Patienten und der Angehörigen. Einige Symptome können auf eine ungünstige Prognose verweisen. Die Mehrzahl der neuropsychiatrischen Störungen kann bei einer zielgerichteten klinischen Anamnese unter Einschluss der Angehörigen erfasst werden. Manchmal, z. B. bei kognitiven Defiziten, bedarf es einer neuropsychologischen Testung. Die Behandlung umfasst medikamentöse und nicht medikamentöse Maßnahmen. Allerdings gibt es nur relativ wenig Daten aus kontrollierten Studien, die die Wirksamkeit und Sicherheit einzelner Therapiemaßnahmen belegen.
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Revankar GS, Kajiyama Y, Hattori N, Shimokawa T, Nakano T, Mihara M, Mori E, Mochizuki H. Prestimulus Low-Alpha Frontal Networks Are Associated with Pareidolias in Parkinson's Disease. Brain Connect 2021; 11:772-782. [PMID: 33858200 DOI: 10.1089/brain.2020.0992] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Pareidolias are visual phenomena wherein ambiguous, abstract forms or shapes appear meaningful due to incorrect perception. In Parkinson's disease (PD), patients susceptible to visual hallucinations experience visuo-perceptual deficits in the form of pareidolias. Although pareidolias necessitate top-down modulation of visual processing, the cortical dynamics of internally generated perceptual priors on these visual misperceptions is unknown. Objectives: To study prestimulus-related electroencephalography (EEG) spectral and network abnormalities in PD patients experiencing pareidolias. Methods: Twenty-one PD in-patients and 10 age-matched controls were evaluated. Neuropsychological assessments included tests for cognition, attention, and executive functions. Pareidolias were quantified by using the "noise pareidolia test" with simultaneous EEG recording. The PD patients were subdivided into two groups-those with high pareidolia counts (n = 10) and those without (n = 11). The EEG was analyzed 1000 msec before stimulus presentation in the spectral domain (theta, low-alpha, and high-alpha frequencies) with corresponding graph networks to evaluate network properties. Statistical analysis included analysis of variance and multiple regression to evaluate the differences. Results: The PD patients with high pareidolia counts were older with lower scores on neuropsychological tests. Their prestimulus EEG low-alpha band showed a tendency toward higher frontal activity (p = 0.07). Graph networks showed increased normalized clustering coefficient (p = 0.05) and lower frontal degree centrality (p = 0.005). These network indices correlated positively to patients' pareidolia scores. Discussion: We suggest that pareidolias in PD are a consequence of an abnormal top-down modulation of visual processing; they are defined by their frontal low-alpha spectral and network alterations in the prestimulus phase due to a dissonance between patients' internally generated mental processing with external stimuli. Impact statement Pareidolias in Parkinson's disease (PD) are considered to be promising early markers of visual hallucinations and an indicator of PD prognosis. In certain susceptible PD patients, pareidolias can be evoked and studied. Here, via electroencephalography, we aimed at understanding this visual phenomenon by studying how neural information is processed before stimulus presentation in such patients. Using spectral and graph network measures, we revealed how top-down modulated internally generated processes affect visual perception in patients with pareidolias. Our findings highlight how prestimulus network alterations in the frontal cortex shape poststimulus pareidolic manifestations in PD.
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Affiliation(s)
- Gajanan S Revankar
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yuta Kajiyama
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Noriaki Hattori
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan.,Department of Rehabilitation, Faculty of Medicine, Academic Assembly, University of Toyama, Toyama, Japan
| | - Tetsuya Shimokawa
- Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan
| | - Tomohito Nakano
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Masahito Mihara
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan.,Department of Neurology, Kawasaki Medical College, Okayama, Japan
| | - Etsuro Mori
- Department of Behavioral Neurology and Neuropsychiatry, Osaka University, Osaka, Japan
| | - Hideki Mochizuki
- Department of Neurology, Graduate School of Medicine, Osaka University, Osaka, Japan
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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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Segal GS, Xie SJ, Paracha SUR, Grossberg GT. Psychosis in Parkinson's Disease: Current Treatment Options and Impact on Patients and Caregivers. J Geriatr Psychiatry Neurol 2021; 34:274-279. [PMID: 34219522 DOI: 10.1177/08919887211018280] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease seen in older adults after Alzheimer's disease, with increasing prevalence worldwide. Parkinson's disease psychosis (PDP) is a common, non-motor feature of PD, which increases caregiver stress and is a risk-factor for nursing home placement. In this paper we review PDP epidemiology, features, diagnosis, and treatment. PDP most often presents with sequential development of minor and then increasingly complex visual hallucinations mediated by dopaminergic-serotonergic interactions activating the mesolimbic pathway, with contributions from other structures and neurotransmitters. Appropriate evaluation of differential diagnoses for psychosis is vital before diagnosing PDP. Initial treatment should involve non-pharmacologic approaches. If these are unsuccessful and PDP symptoms significantly impact the patient's and or their caregivers' quality of life and functions, then pharmacotherapy is indicated. Pimavanserin is a recently FDA-approved pharmacologic treatment for PDP with a better profile of balanced effectiveness and safety compared to previous use of atypical antipsychotics. Early diagnosis and safer, more effective treatments for PDP should help reduce caregiver burden and enable caregivers to continue to provide care at home versus institutionalization.
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Affiliation(s)
- Gilad S Segal
- 7547Saint Louis University School of Medicine, Saint Louis, MO, USA
| | - Sophie J Xie
- 7547Saint Louis University School of Medicine, Saint Louis, MO, USA
| | - Saif-Ur-Rahman Paracha
- Department of Psychiatry and Behavioral Neuroscience, 7547Saint Louis University School of Medicine, MO, USA
| | - George T Grossberg
- Samuel W. Fordyce Professor and Director of Geriatric Psychiatry, Department of Psychiatry and Behavioral Neuroscience, Saint Louis University School of Medicine, MO, USA
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