51
|
Iaccarino L, Sala A, Caminiti SP, Santangelo R, Iannaccone S, Magnani G, Perani D. The brain metabolic signature of visual hallucinations in dementia with Lewy bodies. Cortex 2018; 108:13-24. [DOI: 10.1016/j.cortex.2018.06.014] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 05/18/2018] [Accepted: 06/26/2018] [Indexed: 10/28/2022]
|
52
|
Strafella AP, Bohnen NI, Pavese N, Vaillancourt DE, van Eimeren T, Politis M, Tessitore A, Ghadery C, Lewis S. Imaging Markers of Progression in Parkinson's Disease. Mov Disord Clin Pract 2018; 5:586-596. [PMID: 30637278 DOI: 10.1002/mdc3.12673] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/22/2018] [Accepted: 07/30/2018] [Indexed: 12/12/2022] Open
Abstract
Background Parkinson's disease (PD) is the second-most common neurodegenerative disorder after Alzheimer's disease; however, to date, there is no approved treatment that stops or slows down disease progression. Over the past decades, neuroimaging studies, including molecular imaging and MRI are trying to provide insights into the mechanisms underlying PD. Methods This work utilized a literature review. Results It is now becoming clear that these imaging modalities can provide biomarkers that can objectively detect brain changes related to PD and monitor these changes as the disease progresses, and these biomarkers are required to establish a breakthrough in neuroprotective or disease-modifying therapeutics. Conclusions Here, we provide a review of recent observations deriving from PET, single-positron emission tomography, and MRI studies exploring PD and other parkinsonian disorders.
Collapse
Affiliation(s)
- Antonio P Strafella
- Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, UHN University of Toronto Toronto Ontario Canada.,Division of Brain, Imaging and Behaviour-Systems Neuroscience, Krembil Research Institute, UHN University of Toronto Toronto Ontario Canada.,Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
| | - Nico I Bohnen
- Department of Radiology & Neurology University of Michigan Ann Arbor Michigan USA.,Veterans Administration Ann Arbor Healthcare System Ann Arbor Michigan USA.,Morris K. Udall Center of Excellence for Parkinson's Disease Research University of Michigan Ann Arbor Michigan USA
| | - Nicola Pavese
- Newcastle Magnetic Resonance Centre & Positron Emission Tomography Centre Newcastle University, Campus for Ageing & Vitality Newcastle upon Tyne United Kingdom
| | - David E Vaillancourt
- Applied Physiology and Kinesiology, Biomedical Engineering, and Neurology University of Florida Gainesville Florida USA
| | - Thilo van Eimeren
- Department of Nuclear Medicine and Department of Neurology University of Cologne Cologne Germany.,Institute for Cognitive Neuroscience, Jülich Research Centre Jülich Germany.,German Center for Neurodegenerative Diseases (DZNE) Bonn-Cologne Bonn Germany
| | - Marios Politis
- Neurodegeneration Imaging Group (NIG), Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London London United Kingdom
| | - Alessandro Tessitore
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences-MRI Research Center SUN-FISM University of Campania "Luigi Vanvitelli" Naples Italy
| | - Christine Ghadery
- Morton and Gloria Shulman Movement Disorder Unit & E.J. Safra Parkinson Disease Program, Neurology Division, Department of Medicine, Toronto Western Hospital, UHN University of Toronto Toronto Ontario Canada.,Division of Brain, Imaging and Behaviour-Systems Neuroscience, Krembil Research Institute, UHN University of Toronto Toronto Ontario Canada.,Research Imaging Centre, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health University of Toronto Toronto Ontario Canada
| | - Simon Lewis
- Parkinson's Disease Research Clinic, Brain and Mind Centre University of Sydney Sydney NSW Australia
| | | |
Collapse
|
53
|
Weil RS, McColgan P, Schrag AE, Warren JD, Crutch SJ, Lees AJ, Morris HR. Reply: MRI findings of visual system alterations in Parkinson's disease. Brain 2017; 140:e70. [PMID: 29053804 DOI: 10.1093/brain/awx245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Rimona S Weil
- Department of Molecular Neuroscience, UCL Institute of Neurology, UK.,Dementia Research Centre, UCL Institute of Neurology, UK
| | | | - Anette E Schrag
- Department of Clinical Neurosciences, Royal Free Campus UCL Institute of Neurology, UK
| | - Jason D Warren
- Dementia Research Centre, UCL Institute of Neurology, UK
| | | | - Andrew J Lees
- Department of Molecular Neuroscience, Reta Lila Weston Institute of Neurological Studies, UCL Institute of Neurology, UK
| | - Huw R Morris
- Department of Molecular Neuroscience, UCL Institute of Neurology, UK.,Department of Clinical Neurosciences, Royal Free Campus UCL Institute of Neurology, UK
| |
Collapse
|
54
|
Pezzoli S, Cagnin A, Bandmann O, Venneri A. Structural and Functional Neuroimaging of Visual Hallucinations in Lewy Body Disease: A Systematic Literature Review. Brain Sci 2017; 7:E84. [PMID: 28714891 PMCID: PMC5532597 DOI: 10.3390/brainsci7070084] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 06/27/2017] [Accepted: 07/09/2017] [Indexed: 01/01/2023] Open
Abstract
Patients with Lewy body disease (LBD) frequently experience visual hallucinations (VH), well-formed images perceived without the presence of real stimuli. The structural and functional brain mechanisms underlying VH in LBD are still unclear. The present review summarises the current literature on the neural correlates of VH in LBD, namely Parkinson's disease (PD), and dementia with Lewy bodies (DLB). Following a systematic literature search, 56 neuroimaging studies of VH in PD and DLB were critically reviewed and evaluated for quality assessment. The main structural neuroimaging results on VH in LBD revealed grey matter loss in frontal areas in patients with dementia, and parietal and occipito-temporal regions in PD without dementia. Parietal and temporal hypometabolism was also reported in hallucinating PD patients. Disrupted functional connectivity was detected especially in the default mode network and fronto-parietal regions. However, evidence on structural and functional connectivity is still limited and requires further investigation. The current literature is in line with integrative models of VH suggesting a role of attention and perception deficits in the development of VH. However, despite the close relationship between VH and cognitive impairment, its associations with brain structure and function have been explored only by a limited number of studies.
Collapse
Affiliation(s)
- Stefania Pezzoli
- Department of Neuroscience, University of Sheffield, Sheffield, S10 2RX, UK.
| | - Annachiara Cagnin
- Department of Neurosciences, University of Padua, 35128 Padua, Italy.
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Fondazione Ospedale San Camillo, 30126 Venice, Italy.
| | - Oliver Bandmann
- Department of Neuroscience, University of Sheffield, Sheffield, S10 2RX, UK.
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Sheffield, S10 2RX, UK.
| |
Collapse
|
55
|
Onofrj M, Carrozzino D, D’Amico A, Di Giacomo R, Delli Pizzi S, Thomas A, Onofrj V, Taylor JP, Bonanni L. Psychosis in parkinsonism: an unorthodox approach. Neuropsychiatr Dis Treat 2017; 13:1313-1330. [PMID: 28553118 PMCID: PMC5439966 DOI: 10.2147/ndt.s116116] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Psychosis in Parkinson's disease (PD) is currently considered as the occurrence of hallucinations and delusions. The historical meaning of the term psychosis was, however, broader, encompassing a disorganization of both consciousness and personality, including behavior abnormalities, such as impulsive overactivity and catatonia, in complete definitions by the International Classification of Diseases-10 (ICD-10) and the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). Our review is aimed at reminding that complex psychotic symptoms, including impulsive overactivity and somatoform disorders (the last being a recent controversial entity in PD), were carefully described in postencephalitic parkinsonism (PEP), many decades before dopaminergic treatment era, and are now described in other parkinsonisms than PD. Eminent neuropsychiatrists of the past century speculated that studying psychosis in PEP might highlight its mechanisms in other conditions. Yet, functional assessments were unavailable at the time. Therefore, the second part of our article reviews the studies of neural correlates of psychosis in parkinsonisms, by taking into account both theories on the narrative functions of the default mode network (DMN) and hypotheses on DMN modulation.
Collapse
Affiliation(s)
- Marco Onofrj
- Department of Neuroscience Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara
- CE.S.I. University Foundation
| | - Danilo Carrozzino
- Department of Psychological, Health, and Territorial Sciences, University “G. d’Annunzio” of Chieti-Pescara, Chieti, Italy
- Psychiatric Research Unit, Psychiatric Centre North Zealand, Copenhagen University Hospital, Hillerød, Denmark
| | - Aurelio D’Amico
- Department of Neuroscience Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara
- CE.S.I. University Foundation
| | - Roberta Di Giacomo
- Department of Neuroscience Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara
- CE.S.I. University Foundation
| | - Stefano Delli Pizzi
- Department of Neuroscience Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara
| | - Astrid Thomas
- Department of Neuroscience Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara
- CE.S.I. University Foundation
| | - Valeria Onofrj
- Department of Bioimaging, University Cattolica del Sacro Cuore, Rome, Italy
| | - John-Paul Taylor
- Institute of Neuroscience, Campus for Ageing and Vitality Newcastle University Newcastle upon Tyne, Newcastle upon Tyne, UK
| | - Laura Bonanni
- Department of Neuroscience Imaging and Clinical Sciences, University “G. d’Annunzio” of Chieti-Pescara
- CE.S.I. University Foundation
| |
Collapse
|
56
|
Visual Hallucinations Are Characterized by Impaired Sensory Evidence Accumulation: Insights From Hierarchical Drift Diffusion Modeling in Parkinson's Disease. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 2:680-688. [PMID: 29560902 DOI: 10.1016/j.bpsc.2017.04.007] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2017] [Revised: 03/30/2017] [Accepted: 04/23/2017] [Indexed: 01/16/2023]
Abstract
BACKGROUND Models of hallucinations emphasize imbalance between sensory input and top-down influences over perception, as false perceptual inference can arise when top-down predictions are afforded too much precision (certainty) relative to sensory evidence. Visual hallucinations in Parkinson's disease (PD) are associated with lower-level visual and attentional impairments, accompanied by overactivity in higher-order association brain networks. PD therefore provides an attractive framework to explore contributions of bottom-up versus top-down disturbances in hallucinations. METHODS We characterized sensory processing during perceptual decision making in patients with PD with (n = 20) and without (n = 25) visual hallucinations and control subjects (n = 12), by fitting a hierarchical drift diffusion model to an attentional task. The hierarchical drift diffusion model uses Bayesian estimates to decompose task performance into parameters reflecting drift rates of evidence accumulation, decision thresholds, and nondecision time. RESULTS We observed slower drift rates in patients with hallucinations, which were less sensitive to changes in task demand. In contrast, wider decision boundaries and shorter nondecision times relative to control subjects were found in patients with PD regardless of hallucinator status. Inefficient and less flexible sensory evidence accumulation emerges as a unique feature of PD hallucinators. CONCLUSIONS We integrate these results with evidence accumulation and predictive coding models of hallucinations, suggesting that in PD sensory evidence is less informative and may therefore be down-weighted, resulting in overreliance on top-down influences. Considering impaired drift rates as an approximation of reduced sensory precision, our findings provide a novel computational framework to specify impairments in sensory processing that contribute to development of visual hallucinations.
Collapse
|
57
|
Lehericy S, Vaillancourt DE, Seppi K, Monchi O, Rektorova I, Antonini A, McKeown MJ, Masellis M, Berg D, Rowe JB, Lewis SJG, Williams-Gray CH, Tessitore A, Siebner HR. The role of high-field magnetic resonance imaging in parkinsonian disorders: Pushing the boundaries forward. Mov Disord 2017; 32:510-525. [PMID: 28370449 DOI: 10.1002/mds.26968] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Revised: 12/22/2016] [Accepted: 01/15/2017] [Indexed: 12/28/2022] Open
Abstract
Historically, magnetic resonance imaging (MRI) has contributed little to the study of Parkinson's disease (PD), but modern MRI approaches have unveiled several complementary markers that are useful for research and clinical applications. Iron- and neuromelanin-sensitive MRI detect qualitative changes in the substantia nigra. Quantitative MRI markers can be derived from diffusion weighted and iron-sensitive imaging or volumetry. Functional brain alterations at rest or during task performance have been captured with functional and arterial spin labeling perfusion MRI. These markers are useful for the diagnosis of PD and atypical parkinsonism, to track disease progression from the premotor stages of these diseases and to better understand the neurobiological basis of clinical deficits. A current research goal using MRI is to generate time-dependent models of the evolution of PD biomarkers that can help understand neurodegeneration and provide reliable markers for therapeutic trials. This article reviews recent advances in MRI biomarker research at high-field (3T) and ultra high field-imaging (7T) in PD and atypical parkinsonism. © 2017 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Stéphane Lehericy
- Institut du Cerveau et de la Moelle épinière - ICM, Centre de NeuroImagerie de Recherche - CENIR, Sorbonne Universités, Groupe Hospitalier Pitié-Salpêtrière, Paris, France
| | - David E Vaillancourt
- Department of Applied Physiology and Kinesiology, Department of Neurology and Centre for Movement Disorders and Neurorestoration, Department of Biomedical Engineering, University of Florida, Gainesville, Florida, USA
| | - Klaus Seppi
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria and Neuroimaging Research Core Facility, Medical University Innsbruck, Innsbruck, Austria
| | - Oury Monchi
- Department of Clinical Neurosciences, Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Irena Rektorova
- First Department of Neurology, School of Medicine, St. Anne's University Hospital, Brain and Mind Research Program, Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Angelo Antonini
- Parkinson and Movement Disorders Unit, istituto di ricovero e cura a carattere scientifico (IRCCS) Hospital San Camillo, Venice and Department of Neurosciences (DNS), Padova University, Padova, Italy
| | - Martin J McKeown
- Pacific Parkinson's Research Center, Department of Medicine (Neurology), University of British Columbia Vancouver, BC, Canada
| | - Mario Masellis
- Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Daniela Berg
- Department of Neurology, Christian-Albrechts-University of Kiel and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
| | - James B Rowe
- Department of Clinical Neurosciences, Cambridge University, and Medical Research Council Cognition and Brain Sciences Unit, Cambridge, UK
| | - Simon J G Lewis
- Parkinson's Disease Research Clinic, Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Caroline H Williams-Gray
- John Van Geest Centre for Brain Repair, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Alessandro Tessitore
- Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences, Second University of Naples, Naples, Italy
| | - Hartwig R Siebner
- Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Department of Neurology, Copenhagen University Hospital Bispebjerg, Hvidovre, Denmark
| | | |
Collapse
|
58
|
O'Callaghan C, Kveraga K, Shine JM, Adams RB, Bar M. Predictions penetrate perception: Converging insights from brain, behaviour and disorder. Conscious Cogn 2017; 47:63-74. [PMID: 27222169 PMCID: PMC5764074 DOI: 10.1016/j.concog.2016.05.003] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Revised: 05/10/2016] [Accepted: 05/13/2016] [Indexed: 12/17/2022]
Abstract
It is argued that during ongoing visual perception, the brain is generating top-down predictions to facilitate, guide and constrain the processing of incoming sensory input. Here we demonstrate that these predictions are drawn from a diverse range of cognitive processes, in order to generate the richest and most informative prediction signals. This is consistent with a central role for cognitive penetrability in visual perception. We review behavioural and mechanistic evidence that indicate a wide spectrum of domains-including object recognition, contextual associations, cognitive biases and affective state-that can directly influence visual perception. We combine these insights from the healthy brain with novel observations from neuropsychiatric disorders involving visual hallucinations, which highlight the consequences of imbalance between top-down signals and incoming sensory information. Together, these lines of evidence converge to indicate that predictive penetration, be it cognitive, social or emotional, should be considered a fundamental framework that supports visual perception.
Collapse
Affiliation(s)
- Claire O'Callaghan
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK; Department of Psychology, University of Cambridge, Cambridge, UK; Brain and Mind Centre, University of Sydney, Sydney, Australia.
| | - Kestutis Kveraga
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - James M Shine
- School of Psychology, Stanford University, Stanford, CA, USA; Neuroscience Research Australia, Sydney, Australia
| | - Reginald B Adams
- Department of Psychology, The Pennsylvania State University, University Park, PA, USA
| | - Moshe Bar
- Gonda Center for Brain Research, Bar-Ilan University, Ramat Gan, Israel
| |
Collapse
|
59
|
Ehgoetz Martens KA, Lewis SJG. Pathology of behavior in PD: What is known and what is not? J Neurol Sci 2016; 374:9-16. [PMID: 28089250 DOI: 10.1016/j.jns.2016.12.062] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Accepted: 12/28/2016] [Indexed: 12/12/2022]
Abstract
Abnormal behavior in Parkinson's disease (PD) stems from a complex orchestration of impaired neural networks that result from PD-related neurodegeneration across multiple levels. Typically, cellular and tissue abnormalities generate neurochemical changes and disrupt specific regions of the brain, in turn creating impaired neural circuits and dysfunctional global networks. The objective of this chapter is to provide an overview of the array of pathological changes that have been linked to different behavioral symptoms of PD such as depression, anxiety, apathy, fatigue, impulse control disorders, psychosis, sleep disorders and dementia.
Collapse
Affiliation(s)
- Kaylena A Ehgoetz Martens
- Parkinson Disease Research Clinic, Brain and Mind Centre, University of Sydney, 100 Mallet Street, Camperdown, 2050, NSW, Australia.
| | - Simon J G Lewis
- Parkinson Disease Research Clinic, Brain and Mind Centre, University of Sydney, 100 Mallet Street, Camperdown, 2050, NSW, Australia
| |
Collapse
|
60
|
Onofrj V, Delli Pizzi S, Franciotti R, Taylor JP, Perfetti B, Caulo M, Onofrj M, Bonanni L. Medio-dorsal thalamus and confabulations: Evidence from a clinical case and combined MRI/DTI study. Neuroimage Clin 2016; 12:776-784. [PMID: 27812504 PMCID: PMC5079356 DOI: 10.1016/j.nicl.2016.10.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 09/06/2016] [Accepted: 10/11/2016] [Indexed: 11/30/2022]
Abstract
The Medio-Dorsal Nuclei (MDN) including the thalamic magnocellular and parvocellular thalamic regions has been implicated in verbal memory function. In a 77 year old lady, with a prior history of a clinically silent infarct of the left MDN, we observed the acute onset of spontaneous confabulations when an isolated new infarct occurred in the right MDN. The patient and five age-matched healthy subjects underwent Magnetic Resonance Imaging (MRI) and Diffusion Tensor Imaging (DTI). The thalamic lesions were localized by overlapping Morel Thalamic Atlas with structural MRI data. DTI was used to assess: i) white matter alterations (Fractional Anisotropy, FA) within fibers connecting the ischemic areas to cortex; ii) the micro-structural damage (Mean Diffusivity) within the thalamic sub-regions defined by their structural connectivity to the Anterior Cingulate Cortex (ACC) and to the temporal lobes. These target regions were chosen because their damage is considered associated with the appearance of confabulations. Thalamic lesions were localized within the parvocellular regions of the right and left MDNs. The structural connectivity study showed that the fiber tracts, connecting the bilaterally damaged thalamic regions with the frontal cortex, corresponded to the anterior thalamic radiations (ATR). FA within these tracts was significantly lower in the patient as compared to controls. Mean diffusivity within the MDNs projecting to Broadman area (BA) 24, BA25 and BA32 of ACC was significantly higher in the patient than in control group. Mean diffusivity values within the MDN projecting to temporal lobes in contrast were not different between patient and controls. Our findings suggest the involvement of bilateral MDNs projections to ACC in the genesis of confabulations and help provide clarity to the longstanding debate on the origin of confabulations.
Collapse
Key Words
- ACC, Anterior Cingulate Cortex
- ACoA, Anterior communicating artery
- AN, Anterior thalamic nuclei
- ATR, Anterior thalamic radiations
- Amnesia
- BA, Broadman area
- BEDPOSTX, Bayesian Estimation of Diffusion Parameters obtained using Sampling
- BET, Brain Extraction Tool
- CSF, cerebrospinal fluid
- Confabulation
- DTI, Diffusion Tensor Imaging
- DWI-SE, Diffusion Weighted Image Spin-Echo
- FA, Fractional Anisotropy
- FAST, FMRIB's Automated Segmentation Tool
- FIRST, FMRIB's Integrated Registration and Segmentation Tool
- FLIRT, FMRIB's Linear Image Registration Tool
- FNIRT, FMRIB's Non-Linear Registration Tools
- KS, Korsakoff Syndrome
- MDN, Medio-dorsal thalamic nuclei
- MNI, Montreal Neurological Institute (MNI)
- MRI, Magnetic Resonance Imaging
- Medio-dorsal thalamic region
- SUSAN, Smallest Univalue Segment Assimilating Nucleus
- TE, Echo time
- TR, Repetition time
- W TFE, Weighted Turbo Field-Echo W TFE
Collapse
Affiliation(s)
- Valeria Onofrj
- Radiology Department, Policlinico Agostino Gemelli, Largo Agostino Gemelli 7, 00137 Roma, Italy
| | - Stefano Delli Pizzi
- Department of Neuroscience Imaging, and Clinical Sciences, University G. D’Annunzio, Via Vestini, 66103 Chieti Scalo, Italy
| | - Raffaella Franciotti
- Department of Neuroscience Imaging, and Clinical Sciences, University G. D’Annunzio, Via Vestini, 66103 Chieti Scalo, Italy
| | - John-Paul Taylor
- Institute of Neuroscience, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK
| | - Bernardo Perfetti
- Parkinson's Disease and Movement Disorder Unit, “Fondazione Ospedale San Camillo” - I.R.C.C.S., Venice-Lido, Italy
| | - Massimo Caulo
- Department of Neuroscience Imaging, and Clinical Sciences, University G. D’Annunzio, Via Vestini, 66103 Chieti Scalo, Italy
| | - Marco Onofrj
- Department of Neuroscience Imaging, and Clinical Sciences, University G. D’Annunzio, Via Vestini, 66103 Chieti Scalo, Italy
| | - Laura Bonanni
- Department of Neuroscience Imaging, and Clinical Sciences, University G. D’Annunzio, Via Vestini, 66103 Chieti Scalo, Italy
| |
Collapse
|
61
|
Alderson-Day B, Diederen K, Fernyhough C, Ford JM, Horga G, Margulies DS, McCarthy-Jones S, Northoff G, Shine JM, Turner J, van de Ven V, van Lutterveld R, Waters F, Jardri R. Auditory Hallucinations and the Brain's Resting-State Networks: Findings and Methodological Observations. Schizophr Bull 2016; 42:1110-23. [PMID: 27280452 PMCID: PMC4988751 DOI: 10.1093/schbul/sbw078] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
In recent years, there has been increasing interest in the potential for alterations to the brain's resting-state networks (RSNs) to explain various kinds of psychopathology. RSNs provide an intriguing new explanatory framework for hallucinations, which can occur in different modalities and population groups, but which remain poorly understood. This collaboration from the International Consortium on Hallucination Research (ICHR) reports on the evidence linking resting-state alterations to auditory hallucinations (AH) and provides a critical appraisal of the methodological approaches used in this area. In the report, we describe findings from resting connectivity fMRI in AH (in schizophrenia and nonclinical individuals) and compare them with findings from neurophysiological research, structural MRI, and research on visual hallucinations (VH). In AH, various studies show resting connectivity differences in left-hemisphere auditory and language regions, as well as atypical interaction of the default mode network and RSNs linked to cognitive control and salience. As the latter are also evident in studies of VH, this points to a domain-general mechanism for hallucinations alongside modality-specific changes to RSNs in different sensory regions. However, we also observed high methodological heterogeneity in the current literature, affecting the ability to make clear comparisons between studies. To address this, we provide some methodological recommendations and options for future research on the resting state and hallucinations.
Collapse
Affiliation(s)
| | - Kelly Diederen
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | | | - Judith M. Ford
- Department of Psychiatry, School of Medicine, University of California, San Francisco, San Francisco, CA
| | - Guillermo Horga
- New York State Psychiatric Institute, Columbia University Medical Center, New York, NY
| | - Daniel S. Margulies
- Max Planck Research Group for Neuroanatomy & Connectivity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | | | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, The Royal’s Institute of Mental Health Research, Ottawa, ON, Canada
| | - James M. Shine
- Department of Psychology, Stanford University, Stanford, CA
| | - Jessica Turner
- Department of Psychology, Neuroscience Institute, Georgia State University, Atlanta, GA
| | - Vincent van de Ven
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Remko van Lutterveld
- Center for Mindfulness, University of Massachusetts Medical School, Worcester, MA
| | - Flavie Waters
- North Metro Health Service Mental Health, Graylands Health Campus, School of Psychiatry and Clinical Neurosciences, University of Western Australia, Crawley, WA, Australia
| | - Renaud Jardri
- Univ Lille, CNRS (UMR 9193), SCALab & CHU Lille, Psychiatry dept. (CURE), Lille, France
| |
Collapse
|
62
|
Dysfunction in attentional processing in patients with Parkinson’s disease and visual hallucinations. J Neural Transm (Vienna) 2016; 123:503-7. [DOI: 10.1007/s00702-016-1528-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Accepted: 02/17/2016] [Indexed: 01/09/2023]
|
63
|
Lee JY, Yoon EJ, Lee WW, Kim YK, Lee JY, Jeon B. Lateral geniculate atrophy in Parkinson's with visual hallucination: A trans-synaptic degeneration? Mov Disord 2016; 31:547-54. [DOI: 10.1002/mds.26533] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Revised: 11/16/2015] [Accepted: 12/06/2015] [Indexed: 12/27/2022] Open
Affiliation(s)
- Jee-Young Lee
- Department of Neurology; Seoul National University-Seoul Metropolitan Government Boramae Medical Center; Seoul Republic of Korea
- College of Medicine; Seoul National University; Seoul Republic of Korea
| | - Eun Jin Yoon
- Department of Nuclear Medicine; Seoul National University-Seoul Metropolitan Government Boramae Medical Center; Seoul Republic of Korea
| | - Woong Woo Lee
- Department of Neurology; Eulji General Hospital; Seoul Republic of Korea
| | - Yu Kyeong Kim
- Department of Nuclear Medicine; Seoul National University-Seoul Metropolitan Government Boramae Medical Center; Seoul Republic of Korea
- College of Medicine; Seoul National University; Seoul Republic of Korea
| | - Jun-Young Lee
- Department of Psychiatry; Seoul National University-Seoul Metropolitan Government Boramae Medical Center; Seoul Republic of Korea
- College of Medicine; Seoul National University; Seoul Republic of Korea
| | - Beomseok Jeon
- Department of Neurology; Seoul National University Hospital; Seoul Republic of Korea
- College of Medicine; Seoul National University; Seoul Republic of Korea
| |
Collapse
|
64
|
Franciotti R, Delli Pizzi S, Perfetti B, Tartaro A, Bonanni L, Thomas A, Weis L, Biundo R, Antonini A, Onofrj M. Default mode network links to visual hallucinations: A comparison between Parkinson's disease and multiple system atrophy. Mov Disord 2015; 30:1237-47. [PMID: 26094856 DOI: 10.1002/mds.26285] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2015] [Revised: 05/06/2015] [Accepted: 05/06/2015] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Studying default mode network activity or connectivity in different parkinsonisms, with or without visual hallucinations, could highlight its roles in clinical phenotypes' expression. Multiple system atrophy is the archetype of parkinsonism without visual hallucinations, variably appearing instead in Parkinson's disease (PD). We aimed to evaluate default mode network functions in multiple system atrophy in comparison with PD. METHODS Functional magnetic resonance imaging evaluated default mode network activity and connectivity in 15 multiple system atrophy patients, 15 healthy controls, 15 early PD patients matched for disease duration, 30 severe PD patients (15 with and 15 without visual hallucinations), matched with multiple system atrophy for disease severity. Cortical thickness and neuropsychological evaluations were also performed. RESULTS Multiple system atrophy had reduced default mode network activity compared with controls and PD with hallucinations, and no differences with PD (early or severe) without hallucinations. In PD with visual hallucinations, activity and connectivity was preserved compared with controls and higher than in other groups. In early PD, connectivity was lower than in controls but higher than in multiple system atrophy and severe PD without hallucinations. Cortical thickness was reduced in severe PD, with and without hallucinations, and correlated only with disease duration. Higher anxiety scores were found in patients without hallucinations. CONCLUSIONS Default mode network activity and connectivity was higher in PD with visual hallucinations and reduced in multiple system atrophy and PD without visual hallucinations. Cortical thickness comparisons suggest that functional, rather than structural, changes underlie the activity and connectivity differences.
Collapse
Affiliation(s)
- Raffaella Franciotti
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University and Aging Research Centre, Ce.S.I., "G. d'Annunzio" University Foundation, Chieti, Italy.,ITAB, "G. d'Annunzio" University Foundation, Chieti, Italy
| | - Stefano Delli Pizzi
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University and Aging Research Centre, Ce.S.I., "G. d'Annunzio" University Foundation, Chieti, Italy.,ITAB, "G. d'Annunzio" University Foundation, Chieti, Italy
| | - Bernardo Perfetti
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University and Aging Research Centre, Ce.S.I., "G. d'Annunzio" University Foundation, Chieti, Italy
| | - Armando Tartaro
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University and Aging Research Centre, Ce.S.I., "G. d'Annunzio" University Foundation, Chieti, Italy.,ITAB, "G. d'Annunzio" University Foundation, Chieti, Italy
| | - Laura Bonanni
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University and Aging Research Centre, Ce.S.I., "G. d'Annunzio" University Foundation, Chieti, Italy
| | - Astrid Thomas
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University and Aging Research Centre, Ce.S.I., "G. d'Annunzio" University Foundation, Chieti, Italy
| | - Luca Weis
- Department for Parkinson's Disease, "Fondazione Ospedale San Camillo", I.R.C.C.S, Venice, Italy
| | - Roberta Biundo
- Department for Parkinson's Disease, "Fondazione Ospedale San Camillo", I.R.C.C.S, Venice, Italy
| | - Angelo Antonini
- Department for Parkinson's Disease, "Fondazione Ospedale San Camillo", I.R.C.C.S, Venice, Italy
| | - Marco Onofrj
- Department of Neuroscience, Imaging and Clinical Sciences, "G. d'Annunzio" University and Aging Research Centre, Ce.S.I., "G. d'Annunzio" University Foundation, Chieti, Italy
| |
Collapse
|