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Casella C, Lipp I, Rosser A, Jones DK, Metzler‐Baddeley C. A Critical Review of White Matter Changes in Huntington's Disease. Mov Disord 2020; 35:1302-1311. [PMID: 32537844 PMCID: PMC9393936 DOI: 10.1002/mds.28109] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 04/07/2020] [Accepted: 04/30/2020] [Indexed: 12/20/2022] Open
Abstract
Huntington's disease is a genetic neurodegenerative disorder. White matter alterations have recently been identified as a relevant pathophysiological feature of Huntington's disease, but their etiology and role in disease pathogenesis and progression remain unclear. Increasing evidence suggests that white matter changes in this disorder are attributed to alterations in myelin-associated biological processes. This review first discusses evidence from neurochemical studies lending support to the demyelination hypothesis of Huntington's disease, demonstrating aberrant myelination and changes in oligodendrocytes in the Huntington's brain. Next, evidence from neuroimaging studies is reviewed, the limitations of the described methodologies are discussed, and suggested interpretations of findings from published studies are challenged. Although our understanding of Huntington's associated pathological changes in the brain will increasingly rely on neuroimaging techniques, the shortcomings of these methodologies must not be forgotten. Advances in magnetic resonance imaging techniques and tissue modeling will enable a better in vivo, longitudinal characterization of the biological properties of white matter microstructure. This in turn will facilitate identification of disease-related biomarkers and the specification of outcome measures in clinical trials. © 2020 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Chiara Casella
- Cardiff University Brain Research Imaging CentreSchool of Psychology, Cardiff UniversityCardiffUnited Kingdom
| | - Ilona Lipp
- Department of NeurophysicsMax Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany
| | - Anne Rosser
- School of BiosciencesCardiff UniversityCardiffUnited Kingdom
| | - Derek K Jones
- Cardiff University Brain Research Imaging CentreSchool of Psychology, Cardiff UniversityCardiffUnited Kingdom
- Mary MacKillop Institute for Health ResearchAustralian Catholic UniversityMelbourneVictoriaAustralia
| | - Claudia Metzler‐Baddeley
- Cardiff University Brain Research Imaging CentreSchool of Psychology, Cardiff UniversityCardiffUnited Kingdom
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202
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Pini L, Youssov K, Sambataro F, Bachoud‐Levi A, Vallesi A, Jacquemot C. Striatal connectivity in pre‐manifest Huntington’s disease is differentially affected by disease burden. Eur J Neurol 2020; 27:2147-2157. [DOI: 10.1111/ene.14423] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 06/25/2020] [Indexed: 11/26/2022]
Affiliation(s)
- L. Pini
- Department of Neuroscience & Padova Neuroscience Center University of Padova Padova Italy
| | - K. Youssov
- Département d'Études Cognitives École Normale Supérieure PSL University ParisFrance
- Faculté de Santé Université Paris‐Est Créteil CréteilFrance
- Inserm U955 Equipe E01 NeuroPsychologie Interventionnelle Institut Mondor de Recherche Biomédicale CréteilFrance
- Centre de référence Maladie de Huntington Service de Neurologie Hôpital Henri Mondor, AP‐HP Créteil France
| | - F. Sambataro
- Department of Neuroscience & Padova Neuroscience Center University of Padova Padova Italy
| | - A.‐C. Bachoud‐Levi
- Département d'Études Cognitives École Normale Supérieure PSL University ParisFrance
- Faculté de Santé Université Paris‐Est Créteil CréteilFrance
- Inserm U955 Equipe E01 NeuroPsychologie Interventionnelle Institut Mondor de Recherche Biomédicale CréteilFrance
- Centre de référence Maladie de Huntington Service de Neurologie Hôpital Henri Mondor, AP‐HP Créteil France
| | - A. Vallesi
- Department of Neuroscience & Padova Neuroscience Center University of Padova Padova Italy
- Brain Imaging and Neural Dynamics Research Group IRCCS San Camillo Hospital Venice Italy
| | - C. Jacquemot
- Département d'Études Cognitives École Normale Supérieure PSL University ParisFrance
- Faculté de Santé Université Paris‐Est Créteil CréteilFrance
- Inserm U955 Equipe E01 NeuroPsychologie Interventionnelle Institut Mondor de Recherche Biomédicale CréteilFrance
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203
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Mühlbäck A, Lindenberg KS, Saft C, Priller J, Landwehrmeyer GB. [Gene-selective treatment approaches for Huntington's disease]. DER NERVENARZT 2020; 91:303-311. [PMID: 32179957 DOI: 10.1007/s00115-020-00882-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
In Germany at least 8000 and probably up to ca. 14,000 people currently suffer from clinically manifest Huntington's disease (HD). In addition, an estimated 24,000 Germans carry the HD mutation in the huntingtin (HTT) gene and will develop HD during their lifetime. Although HD is a rare neurodegenerative disease, it is currently in the focus of general medical interest: clinical trials have begun that provide a rational basis for hope to slow down the so far relentless progression of the disease, ultimately resulting in patients becoming entirely dependent on nursing care. If treatment is started early enough it may be possible to mitigate the clinical manifestation of HD. These innovative therapeutic approaches aim at inhibiting the de novo production of mutant HTT gene products. A first clinical drug trial to demonstrate the efficacy (phase III) of intrathecal antisense oligonucleotides (ASO, active substance RG6042) was started in 2019. Additional clinical studies on alternative treatment approaches with allele-selective ASOs as well as gene therapeutic approaches using RNA molecules and zinc finger repressor complexes are imminent. This article gives an overview of the current gene-selective therapeutic approaches in HD under discussion.
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Affiliation(s)
- A Mühlbäck
- Abteilung Neurologie, Universitätsklinikum Ulm, Oberer Eselsberg 45/1, 89081, Ulm, Deutschland.,Klinik für Neurologie und Zentrum für klinische Neurowissenschaften, 1. Medizinische Fakultät, Karlsuniversität, Prag, Tschechien
| | - K S Lindenberg
- Abteilung Neurologie, Universitätsklinikum Ulm, Oberer Eselsberg 45/1, 89081, Ulm, Deutschland
| | - C Saft
- Huntington-Zentrum NRW, Neurologische Klinik der Ruhr-Universität Bochum, St. Josef-Hospital, Bochum, Deutschland
| | - J Priller
- Klinik für Psychiatrie und Psychotherapie, Charité Universitätsmedizin Berlin, Berlin, Deutschland
| | - G B Landwehrmeyer
- Abteilung Neurologie, Universitätsklinikum Ulm, Oberer Eselsberg 45/1, 89081, Ulm, Deutschland.
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204
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Medzech S, Sass C, Bohlen S, Lange HW, Koch R, Schubert R, Ringelstein EB, Reilmann R. Impaired Isometric Force Matching in Upper and Lower Limbs Revealed by Quantitative Motor Assessments in Huntington's Disease. J Huntingtons Dis 2020; 8:483-492. [PMID: 31450507 DOI: 10.3233/jhd-190354] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Assessment of motor symptoms in Huntington's disease (HD) is based on the Unified-HD-Rating-Scale-Total-Motor-Score (UHDRS-TMS). Its categorical and rater-dependent nature reduces the ability to detect subtle changes and often placebo effects have been observed in trials. We have previously shown that impairments in isometric force matching can be detected by quantitative motor (Q-Motor) assessments of tongue protrusion forces (glossomotography) in HD. OBJECTIVE We aimed to investigate whether similar impairments in isometric force matching can be detected in tasks assessing hand and foot force coordination and whether correlations with clinical measures and the disease burden score can be found. METHODS Using a pre-calibrated force transducer, the ability of subjects to generate and maintain isometric forces at different target levels displayed on a monitor was assessed. Target forces applied in the hand were 1.5 and 5 Newton [N] and in feet 1, 5, and 10 N. Subjects with HD (n = 31) and age-matched controls (n = 22) were recruited from the HD out-patient clinic. RESULTS All paradigms distinguished controls from HD. The static coefficient of variability (%) was the most robust measure across all matching tasks. Correlations with clinical measures, such as the UHDRS-TMS, TFC, and the DBS were found. CONCLUSIONS Assessment of hand and foot force matching tasks was feasible and provided quantitative objective measures for severity of motor phenotype in HD. Since both upper and lower extremity motor function are relevant for everyday activities, these measures should be further assessed as candidates for developing functionally meaningful quantitative motor tasks.
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Affiliation(s)
- Sabrina Medzech
- George-Huntington-Institute, Deilmann-Building IV, Technology-Park, Muenster, Germany.,Department of Neurology, University of Muenster, Muenster, Germany
| | - Christian Sass
- George-Huntington-Institute, Deilmann-Building IV, Technology-Park, Muenster, Germany.,Department of Neurology, Asklepios Klinikum Harburg, Hamburg, Germany
| | - Stefan Bohlen
- George-Huntington-Institute, Deilmann-Building IV, Technology-Park, Muenster, Germany.,Institute for Clinical Radiology, University of Muenster, Muenster, Germany
| | - Herwig W Lange
- George-Huntington-Institute, Deilmann-Building IV, Technology-Park, Muenster, Germany
| | - Raphael Koch
- Institute of Biostatistics and Clinical Research, University of Muenster, Münster, Germany
| | - Robin Schubert
- George-Huntington-Institute, Deilmann-Building IV, Technology-Park, Muenster, Germany
| | | | - Ralf Reilmann
- George-Huntington-Institute, Deilmann-Building IV, Technology-Park, Muenster, Germany.,Institute for Clinical Radiology, University of Muenster, Muenster, Germany.,Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
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205
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Wasser CI, Mercieca EC, Kong G, Hannan AJ, McKeown SJ, Glikmann-Johnston Y, Stout JC. Gut dysbiosis in Huntington's disease: associations among gut microbiota, cognitive performance and clinical outcomes. Brain Commun 2020; 2:fcaa110. [PMID: 33005892 PMCID: PMC7519724 DOI: 10.1093/braincomms/fcaa110] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 06/15/2020] [Accepted: 06/25/2020] [Indexed: 02/06/2023] Open
Abstract
Huntington's disease is characterized by a triad of motor, cognitive and psychiatric impairments, as well as unintended weight loss. Although much of the research has focused on cognitive, motor and psychiatric symptoms, the extent of peripheral pathology and the relationship between these factors, and the core symptoms of Huntington's disease, are relatively unknown. Gut microbiota are key modulators of communication between the brain and gut, and alterations in microbiota composition (dysbiosis) can negatively affect cognition, behaviour and affective function, and may be implicated in disease progression. Furthermore, gut dysbiosis was recently reported in Huntington's disease transgenic mice. Our main objective was to characterize the gut microbiome in people with Huntington's disease and determine whether the composition of gut microbiota are significantly related to clinical indicators of disease progression. We compared 42 Huntington's disease gene expansion carriers, including 19 people who were diagnosed with Huntington's disease (Total Functional Capacity > 6) and 23 in the premanifest stage, with 36 age- and gender-matched healthy controls. Participants were characterized clinically using a battery of cognitive tests and using results from 16S V3 to V4 rRNA sequencing of faecal samples to characterize the gut microbiome. For gut microbiome measures, we found significant differences in the microbial communities (beta diversity) based on unweighted UniFrac distance (P = 0.001), as well as significantly lower alpha diversity (species richness and evenness) between our combined Huntington's disease gene expansion carrier group and healthy controls (P = 0.001). We also found major shifts in the microbial community structure at Phylum and Family levels, and identified functional pathways and enzymes affected in our Huntington's disease gene expansion carrier group. Within the Huntington's disease gene expansion carrier group, we also discovered associations among gut bacteria, cognitive performance and clinical outcomes. Overall, our findings suggest an altered gut microbiome in Huntington's disease gene expansion carriers. These results highlight the importance of gut biomarkers and raise interesting questions regarding the role of the gut in Huntington's disease, and whether it may be a potential target for future therapeutic intervention.
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Affiliation(s)
- Cory I Wasser
- Ageing and Neurodegeneration Program, School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria 3800, Australia
| | - Emily-Clare Mercieca
- Ageing and Neurodegeneration Program, School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria 3800, Australia
| | - Geraldine Kong
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Anthony J Hannan
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Victoria 3010, Australia.,Department of Anatomy and Neuroscience, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Sonja J McKeown
- Department of Anatomy & Developmental Biology, Monash University, Clayton, Victoria 3800, Australia.,Development and Stem Cells Program, Monash Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3800, Australia
| | - Yifat Glikmann-Johnston
- Ageing and Neurodegeneration Program, School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria 3800, Australia
| | - Julie C Stout
- Ageing and Neurodegeneration Program, School of Psychological Sciences, Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria 3800, Australia
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206
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Langbehn DR, Hersch S. Clinical Outcomes and Selection Criteria for Prodromal Huntington's Disease Trials. Mov Disord 2020; 35:2193-2200. [PMID: 32686867 PMCID: PMC7818458 DOI: 10.1002/mds.28222] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 06/04/2020] [Accepted: 06/30/2020] [Indexed: 11/08/2022] Open
Abstract
Background Huntington's disease (HD) develops in individuals with extended cytosine‐adenine‐guanine (CAG) repeats within the huntingtin (HTT) gene, causing neurodegeneration and progressive motor and cognitive symptoms. The inclusion of mutant HTT carriers in whom overt symptoms are not yet fully manifest in therapeutic trials would enable the development of treatments that delay or halt the accumulation of significant disability. Objectives The present analyses assess whether screening prediagnosis (preHD) individuals based on a normalized prognostic index (PIN) score would enable the selection of prodromal preHD subjects in whom longitudinal changes in established outcome measures might provide robust signals. It also compares the relative statistical effect size of longitudinal change for these measures. Methods Individual participant data from 2 studies were used to develop mixed effect linear models to assess longitudinal changes in clinical metrics for participants with preHD and PIN‐stratified subcohorts. Relative effect sizes were calculated in 5 preHD studies and internally normalized to evaluate the strength and consistency of each metric across cohorts. Results Longitudinal modeling data demonstrate the amplification of effect sizes when preHD subcohorts were selected by PIN score thresholds of >0.0 and >0.4. These models and relative effect sizes across 5 studies consistently indicate that the Unified Huntington's Disease Rating Scale total motor score exhibits the greatest change in preHD. Conclusions These analyses suggest that the employment of PIN scores to homogenize and stratify preHD cohorts could improve the efficiency of current outcome measures, the most robust of which is the total motor score. © 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society
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Affiliation(s)
- Douglas R Langbehn
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, Iowa, USA
| | - Steven Hersch
- Voyager Therapeutics, Inc., Cambridge, Massachusetts, USA.,Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
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207
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Matheis T, Evinger C, Schubert R, Mazzola S, Fels M, Kemper N, Reilmann R, Muratori L. Biological Motion Perception in Huntington's Disease. J Huntingtons Dis 2020; 8:311-321. [PMID: 31033464 DOI: 10.3233/jhd-180337] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The ability of healthy individuals to detect biological motion by using a small number of moving points is well established in animals and humans. Perception of human movements may depend on internal models that drive self-generated movements and influence motion discrimination (Reed CL et al. 1995 and 2007). As a person's motor repertoire deteriorates, the accuracy of these models may also decrease. OBJECTIVE Determine if people with symptomatic Huntington's disease (HD) have difficulty perceiving movements. METHODS In this study point-light displays were created with a Vicon Motion Capture System by recording one individual with (impaired) and one individual without (healthy) Parkinson's disease using a 13 joint marker set. Participants were asked to distinguish between three movements and determine if the movement was impaired or healthy. The ability of participants with and without HD to distinguish movement patterns and the time to perception were recorded. RESULTS Analyses found participants with HD had a decreased ability to correctly detect movements and point-light image type. The stair climbing motion showed the largest effect as participants with HD had more difficulty correctly identifying both the movement and whether it was impaired or healthy. In addition, the participants without HD showed an improvement as trials progressed which could not be observed in the HD cohort. CONCLUSIONS As people with symptomatic HD have difficulty perceiving movements further investigations using point-light displays should be done to determine if these impairments might serve as an easily administered, non-invasive marker of disease state.
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Affiliation(s)
- Tamara Matheis
- George-Huntington-Institute, Technology-Park, Muenster, Germany.,Institute for Animal Hygiene, Animal Welfare and Farm Animal Behaviour, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany
| | - Craig Evinger
- Department of Neurobiology & Behavior, Stony Brook University, Stony Brook, NY, USA
| | - Robin Schubert
- George-Huntington-Institute, Technology-Park, Muenster, Germany
| | - Steven Mazzola
- Department of Mechanical Engineering, Stony Brook University, Stony Brook, NY, USA
| | - Michaela Fels
- Institute for Animal Hygiene, Animal Welfare and Farm Animal Behaviour, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany
| | - Nicole Kemper
- Institute for Animal Hygiene, Animal Welfare and Farm Animal Behaviour, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany
| | - Ralf Reilmann
- George-Huntington-Institute, Technology-Park, Muenster, Germany.,Department of Clinical Radiology, University of Muenster, Muenster, Germany.,Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
| | - Lisa Muratori
- George-Huntington-Institute, Technology-Park, Muenster, Germany.,Department of Physical Therapy, School of Health Technology and Management, Stony Brook University, Stony Brook, NY, USA
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208
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van der Plas E, Schubert R, Reilmann R, Nopoulos PC. A Feasibility Study of Quantitative Motor Assessments in Children Using the Q-Motor Suite. J Huntingtons Dis 2020; 8:333-338. [PMID: 31256146 DOI: 10.3233/jhd-190353] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Q-Motor is utilized across various clinical trials in adults with Huntington's disease (HD) to provide quantitative, reliable assessments of motor abilities. With gene-knockdown therapies entering the clinic, development of preventative therapies for pediatric carriers of the HD mutation seems imminent. It is currently unclear if Q-Motor is useful for tracking changes in motor abilities in pediatric HD patients or at-risk youth, as most assessments have never been administered in children. We demonstrate the feasibility of administering Q-Motor tasks in a sample of children recruited from the community, and we show that Q-Motor is sensitive to age-related changes in motor abilities.
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Affiliation(s)
- Ellen van der Plas
- Department of Psychiatry, University of Iowa Hospital and Clinics, Iowa City, IA, USA
| | | | - Ralf Reilmann
- George Huntington Institute, Muenster, Germany.,Department of Radiology, University of Muenster, Muenster, Germany.,Department of Neurodegenerative Diseases and Hertie-Institute for Clinical Brain Research, University of Tuebingen, Tuebingen, Germany
| | - Peggy C Nopoulos
- Department of Psychiatry, University of Iowa Hospital and Clinics, Iowa City, IA, USA
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209
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Nasr S, Rosas HD. Impact of Huntington's Disease on Mental Rotation Performance in Motor Pre-Symptomatic Individuals. J Huntingtons Dis 2020; 8:339-356. [PMID: 31306138 DOI: 10.3233/jhd-190348] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Huntington's disease (HD) is a genetic disorder known for affecting motor control. Despite evidence for the impact of HD on visual cortico-striatal loops, evidence for impaired visual perception in early symptomatic HD patients is limited; much less is known about what happens during the HD prodrome. OBJECTIVE The goals of this study were to evaluate perceptual processing in motor pre-manifest HD gene-carriers (Pre-HDs) during a visual mental rotation task. METHODS To achieve this goal, 79 participants including 24 Pre-HD participants and 55 healthy matched controls were scanned using functional MRI as they performed a mental rotation task. Another group of 36 subjects including 15 pre-HDs and 21 healthy age/gender matched controls participated in a control behavioral test of judgment of line orientation outside the scanner. RESULTS We found that, although Pre-HDs (in this stage of disease) did not demonstrate slower response times, their response accuracy was lower than controls. On the fMRI task, controls showed a significant decrease in activity in the occipito-temporal (OT) visual network and increase in activity in the caudo-fronto-parietal (CFP) network with mental rotation load. Interestingly, the amount of mental rotation-related activity decrease in the OT network was reduced in Pre-HDs compared to controls while, the level of CFP response remained unchanged between the two groups. Comparing the link between the evoked BOLD activity within these networks and response accuracy (i.e., behavior), we found that the models fit to data from controls were less accurate in predicting response accuracy of Pre-HDs. CONCLUSION These findings provide some of the earliest functional evidence of impaired visual processing and altered neural processing underlying visual perceptual decision making during the HD prodrome.
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Affiliation(s)
- Shahin Nasr
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Herminia D Rosas
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Department of Radiology, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Harvard Medical School, Boston, MA, USA.,Center for Neuroimaging of Aging and Neurodegenerative Diseases, Massachusetts General Hospital, Boston, MA, USA
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210
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Júlio F, Ribeiro MJ, Morgadinho A, Sousa M, van Asselen M, Simões MR, Castelo-Branco M, Januário C. Cognition, function and awareness of disease impact in early Parkinson's and Huntington's disease. Disabil Rehabil 2020; 44:921-939. [PMID: 32620060 DOI: 10.1080/09638288.2020.1783001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Purpose: Patients with Parkinson's and Huntington's Disease (PD and HD) present impairments in cognitively challenging everyday activities. This study contrasts these two basal ganglia disorders on the ability to perform daily life- like tasks and their level of awareness regarding the disease impact on function.Methods: 19 controls, 10 early-onset PD, 20 early stage PD, and 15 early manifest HD patients were compared in the "EcoKitchen," a virtual reality task with increasing executive load, the "Behavioural Assessment of Dysexecutive Syndrome battery - BADS," and "The Adults and Older Adults Functional Assessment Inventory - IAFAI," a self-report functional questionnaire. The EcoKitchen clinical correlates were investigated.Results: All clinical groups presented slower EcoKitchen performance than controls, however, only HD patients showed decreased accuracy. HD and PD patients exhibited reduced BADS scores compared to the other study participants. Importantly, on the IAFAI, PD patients signalled more physically related incapacities and HD patients indicated more cognitively related incapacities. Accordingly, the EcoKitchen performance was significantly associated with PD motor symptom severity.Conclusions: Our findings suggest differential disease impact on cognition and function across PD and HD patients, with preserved awareness regarding disease- related functional sequelae. These observations have important implications for clinical management, research and rehabilitation.Implications for rehabilitationPatients with early stage Parkinson's and Huntington's disease have diagnosis-specific impairments in the performance of executively demanding everyday activities and, yet, show preserved awareness about the disease impact on their daily life.An active involvement of patients in the rehabilitation process should be encouraged, as their appraisal of the disease effects can help on practical decisions about meaningful targets for intervention, vocational choices, quality-of-life issues and/or specific everyday skills to boost.The EcoKitchen, a non-immersive virtual reality task, can detect and quantify early deficits in everyday-like tasks and is therefore a valuable tool for assessing the effects of rehabilitation strategies on the functional cognition of these patients.Rehabilitation efforts in the mild stages of Parkinson's and Huntington's disease should be aware of greater time needs from the patients in the performance of daily life tasks, target executive skills, and give a more prominent role to patients in symptoms report and management.
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Affiliation(s)
- Filipa Júlio
- University of Coimbra, Faculty of Psychology and Education Sciences, Coimbra, Portugal.,University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Coimbra, Portugal
| | - Maria J Ribeiro
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Coimbra, Portugal
| | | | - Mário Sousa
- Coimbra University Hospital, Coimbra, Portugal
| | - Marieke van Asselen
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Coimbra, Portugal
| | - Mário R Simões
- University of Coimbra, Faculty of Psychology and Education Sciences, Coimbra, Portugal.,University of Coimbra, Faculty of Psychology and Education Sciences, Center for Research in Neuropsychology and Cognitive Behavioural Intervention (CINEICC), Coimbra, Portugal
| | - Miguel Castelo-Branco
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Coimbra, Portugal.,University of Coimbra, Institute of Nuclear Sciences Applied to Health (ICNAS), Coimbra, Portugal.,University of Coimbra, Faculty of Medicine, Coimbra, Portugal
| | - Cristina Januário
- University of Coimbra, Coimbra Institute for Biomedical Imaging and Translational Research (CIBIT), Coimbra, Portugal.,Coimbra University Hospital, Coimbra, Portugal.,University of Coimbra, Faculty of Medicine, Coimbra, Portugal
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211
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McColgan P, Joubert J, Tabrizi SJ, Rees G. The human motor cortex microcircuit: insights for neurodegenerative disease. Nat Rev Neurosci 2020; 21:401-415. [PMID: 32555340 DOI: 10.1038/s41583-020-0315-1] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/04/2020] [Indexed: 12/22/2022]
Abstract
The human motor cortex comprises a microcircuit of five interconnected layers with different cell types. In this Review, we use a layer-specific and cell-specific approach to integrate physiological accounts of this motor cortex microcircuit with the pathophysiology of neurodegenerative diseases affecting motor functions. In doing so we can begin to link motor microcircuit pathology to specific disease stages and clinical phenotypes. Based on microcircuit physiology, we can make future predictions of axonal loss and microcircuit dysfunction. With recent advances in high-resolution neuroimaging we can then test these predictions in humans in vivo, providing mechanistic insights into neurodegenerative disease.
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Affiliation(s)
- Peter McColgan
- Huntington's Disease Research Centre, UCL Institute of Neurology, University College London, London, UK.
| | - Julie Joubert
- Huntington's Disease Research Centre, UCL Institute of Neurology, University College London, London, UK
| | - Sarah J Tabrizi
- Huntington's Disease Research Centre, UCL Institute of Neurology, University College London, London, UK.,Dementia Research Institute at UCL, London, UK
| | - Geraint Rees
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, London, UK.,UCL Institute of Cognitive Neuroscience, University College London, London, UK
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212
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Scahill RI, Zeun P, Osborne-Crowley K, Johnson EB, Gregory S, Parker C, Lowe J, Nair A, O'Callaghan C, Langley C, Papoutsi M, McColgan P, Estevez-Fraga C, Fayer K, Wellington H, Rodrigues FB, Byrne LM, Heselgrave A, Hyare H, Sampaio C, Zetterberg H, Zhang H, Wild EJ, Rees G, Robbins TW, Sahakian BJ, Langbehn D, Tabrizi SJ. Biological and clinical characteristics of gene carriers far from predicted onset in the Huntington's disease Young Adult Study (HD-YAS): a cross-sectional analysis. Lancet Neurol 2020; 19:502-512. [PMID: 32470422 PMCID: PMC7254065 DOI: 10.1016/s1474-4422(20)30143-5] [Citation(s) in RCA: 115] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 04/05/2020] [Accepted: 04/09/2020] [Indexed: 12/28/2022]
Abstract
BACKGROUND Disease-modifying treatments are in development for Huntington's disease; crucial to their success is to identify a timepoint in a patient's life when there is a measurable biomarker of early neurodegeneration while clinical function is still intact. We aimed to identify this timepoint in a novel cohort of young adult premanifest Huntington's disease gene carriers (preHD) far from predicted clinical symptom onset. METHODS We did the Huntington's disease Young Adult Study (HD-YAS) in the UK. We recruited young adults with preHD and controls matched for age, education, and sex to ensure each group had at least 60 participants with imaging data, accounting for scan fails. Controls either had a family history of Huntington's disease but a negative genetic test, or no known family history of Huntington's disease. All participants underwent detailed neuropsychiatric and cognitive assessments, including tests from the Cambridge Neuropsychological Test Automated Battery and a battery assessing emotion, motivation, impulsivity and social cognition (EMOTICOM). Imaging (done for all participants without contraindications) included volumetric MRI, diffusion imaging, and multiparametric mapping. Biofluid markers of neuronal health were examined using blood and CSF collection. We did a cross-sectional analysis using general least-squares linear models to assess group differences and associations with age and CAG length, relating to predicted years to clinical onset. Results were corrected for multiple comparisons using the false discovery rate (FDR), with FDR <0·05 deemed a significant result. FINDINGS Data were obtained between Aug 2, 2017, and April 25, 2019. We recruited 64 young adults with preHD and 67 controls. Mean ages of participants were 29·0 years (SD 5·6) and 29·1 years (5·7) in the preHD and control groups, respectively. We noted no significant evidence of cognitive or psychiatric impairment in preHD participants 23·6 years (SD 5·8) from predicted onset (FDR 0·22-0·87 for cognitive measures, 0·31-0·91 for neuropsychiatric measures). The preHD cohort had slightly smaller putamen volumes (FDR=0·03), but this did not appear to be closely related to predicted years to onset (FDR=0·54). There were no group differences in other brain imaging measures (FDR >0·16). CSF neurofilament light protein (NfL), plasma NfL, and CSF YKL-40 were elevated in this far-from-onset preHD cohort compared with controls (FDR<0·0001, =0·01, and =0·03, respectively). CSF NfL elevations were more likely in individuals closer to expected clinical onset (FDR <0·0001). INTERPRETATION We report normal brain function yet a rise in sensitive measures of neurodegeneration in a preHD cohort approximately 24 years from predicted clinical onset. CSF NfL appears to be a more sensitive measure than plasma NfL to monitor disease progression. This preHD cohort is one of the earliest yet studied, and our findings could be used to inform decisions about when to initiate a potential future intervention to delay or prevent further neurodegeneration while function is intact. FUNDING Wellcome Trust, CHDI Foundation.
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Affiliation(s)
- Rachael I Scahill
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Paul Zeun
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Katherine Osborne-Crowley
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Division of Equity, Diversity and Inclusion, University of New South Wales, Sydney, NSW, Australia
| | - Eileanoir B Johnson
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah Gregory
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Christopher Parker
- Department of Computer Science and Centre for Medical Image Computing, University College London, London, UK
| | - Jessica Lowe
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Akshay Nair
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Max Planck University College London Centre for Computational Psychiatry and Ageing Research, UCL Queen Square Institute of Neurology, London, UK
| | - Claire O'Callaghan
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK; Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Christelle Langley
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Marina Papoutsi
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Peter McColgan
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Carlos Estevez-Fraga
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Kate Fayer
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Henny Wellington
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Dementia Research Institute at University College London, London, UK
| | - Filipe B Rodrigues
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Lauren M Byrne
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Amanda Heselgrave
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Dementia Research Institute at University College London, London, UK
| | - Harpreet Hyare
- Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, London, UK
| | - Cristina Sampaio
- CHDI Foundation, Princeton, NJ, USA; Instituto de Medicina Molecular, Faculdade de Medicina de Lisboa, Lisbon, Portugal
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Dementia Research Institute at University College London, London, UK; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden
| | - Hui Zhang
- Department of Computer Science and Centre for Medical Image Computing, University College London, London, UK
| | - Edward J Wild
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Geraint Rees
- University College London Institute of Cognitive Neuroscience, University College London, London, UK
| | - Trevor W Robbins
- Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Barbara J Sahakian
- Department of Psychiatry and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Douglas Langbehn
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - Sarah J Tabrizi
- Huntington's Disease Centre, Department of Neurodegenerative disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Dementia Research Institute at University College London, London, UK.
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213
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Sun W, Zhou D, Warner JH, Langbehn DR, Hochhaus G, Wang Y. Huntington's Disease Progression: A Population Modeling Approach to Characterization Using Clinical Rating Scales. J Clin Pharmacol 2020; 60:1051-1060. [DOI: 10.1002/jcph.1598] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 02/03/2020] [Indexed: 11/08/2022]
Affiliation(s)
- Wan Sun
- Quantitative Clinical PharmacologyTakeda Pharmaceuticals Cambridge Massachusetts USA
- Division of PharmacometricsFood and Drug Administration Silver Spring Maryland USA
| | - Di Zhou
- Division of PharmacometricsFood and Drug Administration Silver Spring Maryland USA
| | - John H. Warner
- CHDI Management/CHDI Foundation Princeton New Jersey USA
| | | | | | - Yaning Wang
- Division of PharmacometricsFood and Drug Administration Silver Spring Maryland USA
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214
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Predictive genetic testing in Huntington's disease: should a neurologist be involved? Eur J Hum Genet 2020; 28:1205-1209. [PMID: 32404886 PMCID: PMC7608370 DOI: 10.1038/s41431-020-0633-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 04/08/2020] [Accepted: 04/14/2020] [Indexed: 01/22/2023] Open
Abstract
International guidelines on Huntington's Disease recommend neurological examination in the predictive testing trajectory. Experiences and personal wishes of persons at risk of Huntington's Disease regarding this topic have never been evaluated. The objective was to provide an overview of the experiences of Dutch at-risk persons, opting for predictive testing, in consulting a neurologist before and after DNA analysis. Persons who were counseled in four Dutch clinics between 2017 and 2019 were retrospectively or prospectively approached for a questionnaire which listed topics as experiences with consultation and personal wishes. From 71 participants, 44 participants visited a neurologist. 41 participants indicated their visit to a neurologist as positive (93.2%). The majority of participants (n = 59) desired consulting a neurologist. Thirty-two participants indicated consultation shortly after (Desired After Group) and twenty-seven before DNA analysis (Desired Before Group) as personal wish. The Desired Before Group consisted of a significantly higher number of participants who actually consulted a neurologist before predictive testing (n = 26) compared with the number of participants who actually consulted a neurologist after DNA analysis in the Desired After Group (n = 11) (p < 0.001). The Desired After Group (n = 19) had a significantly higher number of Huntington's disease gene expansion carriers compared with the Desired Before Group (n = 5) (p 0.003). Participants are content with consultation. However, persons without the gene expansion still feel the need to get in touch with a neurologist. Therefore, offering a consultation with a neurologist before DNA analysis might be beneficial for all.
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215
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Harvey HB, Watson LC, Subramaniam RM, Burns J, Bykowski J, Chakraborty S, Ledbetter LN, Lee RK, Pannell JS, Pollock JM, Powers WJ, Rosenow JM, Shih RY, Slavin K, Utukuri PS, Corey AS. ACR Appropriateness Criteria® Movement Disorders and Neurodegenerative Diseases. J Am Coll Radiol 2020; 17:S175-S187. [PMID: 32370961 DOI: 10.1016/j.jacr.2020.01.042] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 01/25/2020] [Indexed: 12/12/2022]
Abstract
Movement disorders and neurodegenerative diseases are a variety of conditions that involve progressive neuronal degeneration, injury, or death. Establishing the correct diagnosis of a movement disorder or neurodegenerative process can be difficult due to the variable features of these conditions, unusual clinical presentations, and overlapping symptoms and characteristics. MRI has an important role in the initial assessment of these patients, although a combination of imaging and laboratory and genetic tests is often needed for complete evaluation and management. This document summarizes the imaging appropriateness data for rapidly progressive dementia, chorea, Parkinsonian syndromes, suspected neurodegeneration with brain iron accumulation, and suspected motor neuron disease. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Laura C Watson
- Research Author, Massachusetts General Hospital, Boston, Massachusetts
| | | | - Judah Burns
- Panel Chair, Montefiore Medical Center, Bronx, New York
| | | | - Santanu Chakraborty
- Ottawa Hospital Research Institute and the Department of Radiology, The University of Ottawa, Ottawa, Ontario, Canada; Canadian Association of Radiologists
| | | | - Ryan K Lee
- Einstein Healthcare Network, Philadelphia, Pennsylvania
| | - Jeffrey S Pannell
- University of California San Diego Medical Center, San Diego, California
| | | | - William J Powers
- University of North Carolina School of Medicine, Chapel Hill, North Carolina; American Academy of Neurology
| | - Joshua M Rosenow
- Northwestern University Feinberg School of Medicine, Chicago, Illinois; Neurosurgery expert
| | - Robert Y Shih
- Walter Reed National Military Medical Center, Bethesda, Maryland
| | | | | | - Amanda S Corey
- Specialty Chair, Atlanta VA Health Care System and Emory University, Atlanta, Georgia
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216
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Alexander B, Georgiou‐Karistianis N, Beare R, Ahveninen LM, Lorenzetti V, Stout JC, Glikmann‐Johnston Y. Accuracy of automated amygdala MRI segmentation approaches in Huntington's disease in the IMAGE-HD cohort. Hum Brain Mapp 2020; 41:1875-1888. [PMID: 32034838 PMCID: PMC7268083 DOI: 10.1002/hbm.24918] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 12/18/2019] [Indexed: 11/21/2022] Open
Abstract
Smaller manually-segmented amygdala volumes have been associated with poorer motor and cognitive function in Huntington's disease (HD). Manual segmentation is the gold standard in terms of accuracy; however, automated methods may be necessary in large samples. Automated segmentation accuracy has not been determined for the amygdala in HD. We aimed to determine which of three automated approaches would most accurately segment amygdalae in HD: FreeSurfer, FIRST, and ANTS nonlinear registration followed by FIRST segmentation. T1-weighted images for the IMAGE-HD cohort including 35 presymptomatic HD (pre-HD), 36 symptomatic HD (symp-HD), and 34 healthy controls were segmented using FreeSurfer and FIRST. For the third approach, images were nonlinearly registered to an MNI template using ANTS, then segmented using FIRST. All automated methods overestimated amygdala volumes compared with manual segmentation. Dice overlap scores, indicating segmentation accuracy, were not significantly different between automated approaches. Manually segmented volumes were most statistically differentiable between groups, followed by those segmented by FreeSurfer, then ANTS/FIRST. FIRST-segmented volumes did not differ between groups. All automated methods produced a bias where volume overestimation was more severe for smaller amygdalae. This bias was subtle for FreeSurfer, but marked for FIRST, and moderate for ANTS/FIRST. Further, FreeSurfer introduced a hemispheric bias not evident with manual segmentation, producing larger right amygdalae by 8%. To assist choice of segmentation approach, we provide sample size estimation graphs based on sample size and other factors. If automated segmentation is employed in samples of the current size, FreeSurfer may effectively distinguish amygdala volume between controls and HD.
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Affiliation(s)
- Bonnie Alexander
- Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityMelbourneVictoriaAustralia
- Murdoch Children's Research InstituteMelbourneVictoriaAustralia
| | - Nellie Georgiou‐Karistianis
- Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityMelbourneVictoriaAustralia
| | - Richard Beare
- Murdoch Children's Research InstituteMelbourneVictoriaAustralia
- Department of MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Lotta M. Ahveninen
- Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityMelbourneVictoriaAustralia
| | | | - Julie C. Stout
- Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityMelbourneVictoriaAustralia
| | - Yifat Glikmann‐Johnston
- Turner Institute for Brain and Mental Health, School of Psychological SciencesMonash UniversityMelbourneVictoriaAustralia
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217
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Recognition of emotion from subtle and non-stereotypical dynamic facial expressions in Huntington's disease. Cortex 2020; 126:343-354. [DOI: 10.1016/j.cortex.2020.01.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Revised: 08/31/2019] [Accepted: 01/27/2020] [Indexed: 11/19/2022]
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218
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Selvadurai LP, Corben LA, Delatycki MB, Storey E, Egan GF, Georgiou‐Karistianis N, Harding IH. Multiple mechanisms underpin cerebral and cerebellar white matter deficits in Friedreich ataxia: The IMAGE-FRDA study. Hum Brain Mapp 2020; 41:1920-1933. [PMID: 31904895 PMCID: PMC7267947 DOI: 10.1002/hbm.24921] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Revised: 12/20/2019] [Accepted: 12/29/2019] [Indexed: 01/16/2023] Open
Abstract
Friedreich ataxia is a progressive neurodegenerative disorder with reported abnormalities in cerebellar, brainstem, and cerebral white matter. White matter structure can be measured using in vivo neuroimaging indices sensitive to different white matter features. For the first time, we examined the relative sensitivity and relationship between multiple white matter indices in Friedreich ataxia to more richly characterize disease expression and infer possible mechanisms underlying the observed white matter abnormalities. Diffusion-tensor, magnetization transfer, and T1-weighted structural images were acquired from 31 individuals with Friedreich ataxia and 36 controls. Six white matter indices were extracted: fractional anisotropy, diffusivity (mean, axial, radial), magnetization transfer ratio (microstructure), and volume (macrostructure). For each index, whole-brain voxel-wise between-group comparisons and correlations with disease severity, onset age, and gene triplet-repeat length were undertaken. Correlations between pairs of indices were assessed in the Friedreich ataxia cohort. Spatial similarities in the voxel-level pattern of between-group differences across the indices were also assessed. Microstructural abnormalities were maximal in cerebellar and brainstem regions, but evident throughout the brain, while macroscopic abnormalities were restricted to the brainstem. Poorer microstructure and reduced macrostructural volume correlated with greater disease severity and earlier onset, particularly in peri-dentate nuclei and brainstem regions. Microstructural and macrostructural abnormalities were largely independent. Reduced fractional anisotropy was most strongly associated with axial diffusivity in cerebral tracts, and magnetization transfer in cerebellar tracts. Multiple mechanisms likely underpin white matter abnormalities in Friedreich ataxia, with differential impacts in cerebellar and cerebral pathways.
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Affiliation(s)
- Louisa P. Selvadurai
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
| | - Louise A. Corben
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
- Bruce Lefroy Centre for Genetic Health ResearchMurdoch Children's Research InstituteParkvilleVictoriaAustralia
- Department of PaediatricsThe University of MelbourneParkvilleVictoriaAustralia
| | - Martin B. Delatycki
- Bruce Lefroy Centre for Genetic Health ResearchMurdoch Children's Research InstituteParkvilleVictoriaAustralia
- Department of PaediatricsThe University of MelbourneParkvilleVictoriaAustralia
- Victorian Clinical Genetics ServicesParkvilleVictoriaAustralia
| | - Elsdon Storey
- Department of MedicineMonash UniversityPrahranVictoriaAustralia
| | - Gary F. Egan
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
- Monash Biomedical ImagingMonash UniversityClaytonVictoriaAustralia
| | - Nellie Georgiou‐Karistianis
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
| | - Ian H. Harding
- School of Psychological Sciences and Turner Institute for Brain and Mental HealthMonash UniversityMelbourneVictoriaAustralia
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Grassi S, Giussani P, Mauri L, Prioni S, Sonnino S, Prinetti A. Lipid rafts and neurodegeneration: structural and functional roles in physiologic aging and neurodegenerative diseases. J Lipid Res 2020; 61:636-654. [PMID: 31871065 PMCID: PMC7193971 DOI: 10.1194/jlr.tr119000427] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 12/11/2019] [Indexed: 12/14/2022] Open
Abstract
Lipid rafts are small, dynamic membrane areas characterized by the clustering of selected membrane lipids as the result of the spontaneous separation of glycolipids, sphingolipids, and cholesterol in a liquid-ordered phase. The exact dynamics underlying phase separation of membrane lipids in the complex biological membranes are still not fully understood. Nevertheless, alterations in the membrane lipid composition affect the lateral organization of molecules belonging to lipid rafts. Neural lipid rafts are found in brain cells, including neurons, astrocytes, and microglia, and are characterized by a high enrichment of specific lipids depending on the cell type. These lipid rafts seem to organize and determine the function of multiprotein complexes involved in several aspects of signal transduction, thus regulating the homeostasis of the brain. The progressive decline of brain performance along with physiological aging is at least in part associated with alterations in the composition and structure of neural lipid rafts. In addition, neurodegenerative conditions, such as lysosomal storage disorders, multiple sclerosis, and Parkinson's, Huntington's, and Alzheimer's diseases, are frequently characterized by dysregulated lipid metabolism, which in turn affects the structure of lipid rafts. Several events underlying the pathogenesis of these diseases appear to depend on the altered composition of lipid rafts. Thus, the structure and function of lipid rafts play a central role in the pathogenesis of many common neurodegenerative diseases.jlr;61/5/636/F1F1f1.
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Affiliation(s)
- Sara Grassi
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Paola Giussani
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Laura Mauri
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Simona Prioni
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Sandro Sonnino
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy
| | - Alessandro Prinetti
- Department of Medical Biotechnology and Translational Medicine, University of Milan, Milan, Italy. mailto:
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220
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Furlong LS, Jakabek D, Power BD, Owens-Walton C, Wilkes FA, Walterfang M, Velakoulis D, Egan G, Looi JC, Georgiou-Karistianis N. Morphometric in vivo evidence of thalamic atrophy correlated with cognitive and motor dysfunction in Huntington's disease: The IMAGE-HD study. Psychiatry Res Neuroimaging 2020; 298:111048. [PMID: 32120305 DOI: 10.1016/j.pscychresns.2020.111048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 02/09/2020] [Accepted: 02/14/2020] [Indexed: 01/18/2023]
Abstract
In Huntington's disease (HD), neurodegeneration causes progressive atrophy to the striatum, cortical areas, and white matter tracts - components of corticostriatal circuitry. Such processes may affect the thalamus, a key circuit node. We investigated whether differences in dorsal thalamic morphology were detectable in HD, and whether thalamic atrophy was associated with neurocognitive, neuropsychiatric and motor dysfunction. Magnetic resonance imaging scans and clinical outcome measures were obtained from 34 presymptomatic HD (pre-HD), 29 early symptomatic HD (symp-HD), and 26 healthy control individuals who participated in the IMAGE-HD study. Manual region of interest (ROI) segmentation was conducted to measure dorsal thalamic volume, and thalamic ROI underwent shape analysis using the spherical harmonic point distribution method. The symp-HD group had significant thalamic volumetric reduction and global shape deflation, indicative of atrophy, compared to pre-HD and control groups. Thalamic atrophy significantly predicted neurocognitive and motor dysfunction within the symp-HD group only. Thalamic morphology differentiates symp-HD from pre-HD and healthy individuals. Thalamic changes may be one of the structural bases (endomorphotypes), of the endophenotypic neurocognitive and motor manifestations of disease. Future research should continue to investigate the thalamus as a potential in vivo biomarker of disease progression in HD.
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Affiliation(s)
- Lisa S Furlong
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University Medical School, Canberra, Australia; John Curtin School of Medical Research, Australian National University, Canberra, Australia.
| | - David Jakabek
- Graduate School of Medicine, University of Wollongong, Wollongong, Australia
| | - Brian D Power
- School of Medicine Fremantle, The University of Notre Dame Australia, Fremantle, Australia; Clinical Research Centre, North Metropolitan Health Service - Mental Health, WA, Australia
| | - Conor Owens-Walton
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University Medical School, Canberra, Australia
| | - Fiona A Wilkes
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University Medical School, Canberra, Australia
| | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, and University of Melbourne, Melbourne, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, and University of Melbourne, Melbourne, Australia
| | - Gary Egan
- School of Psychological Sciences and The Turner Institute for Brain and Mental Health Monash University, Clayton, Australia; Monash Biomedical Imaging, Monash University, Clayton, Australia; Life Sciences Computation Centre, Victorian Life Sciences Computation Initiative, Melbourne, Australia
| | - Jeffrey Cl Looi
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, School of Clinical Medicine, Australian National University Medical School, Canberra, Australia; Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, and University of Melbourne, Melbourne, Australia
| | - Nellie Georgiou-Karistianis
- School of Psychological Sciences and The Turner Institute for Brain and Mental Health Monash University, Clayton, Australia
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221
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Papoutsi M, Magerkurth J, Josephs O, Pépés SE, Ibitoye T, Reilmann R, Hunt N, Payne E, Weiskopf N, Langbehn D, Rees G, Tabrizi SJ. Activity or connectivity? A randomized controlled feasibility study evaluating neurofeedback training in Huntington's disease. Brain Commun 2020; 2:fcaa049. [PMID: 32954301 PMCID: PMC7425518 DOI: 10.1093/braincomms/fcaa049] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 02/11/2020] [Accepted: 03/27/2020] [Indexed: 12/20/2022] Open
Abstract
Non-invasive methods, such as neurofeedback training, could support cognitive symptom management in Huntington’s disease by targeting brain regions whose function is impaired. The aim of our single-blind, sham-controlled study was to collect rigorous evidence regarding the feasibility of neurofeedback training in Huntington’s disease by examining two different methods, activity and connectivity real-time functional MRI neurofeedback training. Thirty-two Huntington’s disease gene-carriers completed 16 runs of neurofeedback training, using an optimized real-time functional MRI protocol. Participants were randomized into four groups, two treatment groups, one receiving neurofeedback derived from the activity of the supplementary motor area, and another receiving neurofeedback based on the correlation of supplementary motor area and left striatum activity (connectivity neurofeedback training), and two sham control groups, matched to each of the treatment groups. We examined differences between the groups during neurofeedback training sessions and after training at follow-up sessions. Transfer of training was measured by measuring the participants’ ability to upregulate neurofeedback training target levels without feedback (near transfer), as well as by examining change in objective, a priori defined, behavioural measures of cognitive and psychomotor function (far transfer) before and at 2 months after training. We found that the treatment group had significantly higher neurofeedback training target levels during the training sessions compared to the control group. However, we did not find robust evidence of better transfer in the treatment group compared to controls, or a difference between the two neurofeedback training methods. We also did not find evidence in support of a relationship between change in cognitive and psychomotor function and learning success. We conclude that although there is evidence that neurofeedback training can be used to guide participants to regulate the activity and connectivity of specific regions in the brain, evidence regarding transfer of learning and clinical benefit was not robust.
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Affiliation(s)
- Marina Papoutsi
- UCL Huntington’s Disease Centre, Queen Square Institute of Neurology, University College London, London WC1B 5EH, UK
- Correspondence to: Marina Papoutsi, PhD UCL Huntington’s Disease Centre, Queen Square Institute of Neurology University College London, Russell Square House, 10–12 Russell Square London WC1B 5EH, UK E-mail:
| | - Joerg Magerkurth
- Birkbeck-UCL Centre for Neuroimaging, University College London, London WC1H 0AP, UK
| | - Oliver Josephs
- Wellcome Centre for Human Neuroimaging, Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
| | - Sophia E Pépés
- University of Oxford, Harris Manchester College, Oxford OX1 3TD, UK
| | - Temi Ibitoye
- UCL Huntington’s Disease Centre, Queen Square Institute of Neurology, University College London, London WC1B 5EH, UK
| | - Ralf Reilmann
- George Huntington Institute, 48149 Münster, Germany
- Department of Radiology, University of Muenster, 48149 Münster, Germany
- Section for Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tuebingen, 72076 Tübingen, Germany
| | - Nigel Hunt
- Eastman Dental Institute, University College London, London WC1X 8LD, UK
| | - Edwin Payne
- Eastman Dental Institute, University College London, London WC1X 8LD, UK
| | - Nikolaus Weiskopf
- Wellcome Centre for Human Neuroimaging, Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
- Max Planck Institute for Human Cognitive and Brain Sciences, D-04103 Leipzig, Germany
| | - Douglas Langbehn
- Carver College of Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Geraint Rees
- Wellcome Centre for Human Neuroimaging, Queen Square Institute of Neurology, University College London, London WC1N 3AR, UK
- Institute of Cognitive Neuroscience, University College London, London WC1N 3AZ, UK
| | - Sarah J Tabrizi
- UCL Huntington’s Disease Centre, Queen Square Institute of Neurology, University College London, London WC1B 5EH, UK
- UK Dementia Research Institute at University College London, London WC1E 6BT, UK
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222
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Breza M, Emmanouilidou E, Leandrou E, Kartanou C, Bougea A, Panas M, Stefanis L, Karadima G, Vekrellis K, Koutsis G. Elevated Serum α-Synuclein Levels in Huntington’s Disease Patients. Neuroscience 2020; 431:34-39. [DOI: 10.1016/j.neuroscience.2020.01.037] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Revised: 01/27/2020] [Accepted: 01/28/2020] [Indexed: 12/19/2022]
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223
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Stainsby BE, Mior S, Guttman M. Locus of control in patients with Huntington disease: a cross-sectional study. THE JOURNAL OF THE CANADIAN CHIROPRACTIC ASSOCIATION 2020; 64:65-75. [PMID: 32476669 PMCID: PMC7250512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
BACKGROUND Health locus of control (LOC) represents an individual's beliefs regarding one's ability to influence health outcomes. In patients with chronic and neurodegenerative diseases, greater internal LOC has been associated with lower levels of disability. OBJECTIVE To examine LOC in patients with Huntington disease (HD). METHODS A cross-sectional study of individuals affected by HD, stratified by disease status, was conducted. Participants completed a demographic questionnaire, the Internal Control Index (ICI), and the Hospital Anxiety and Depression Scales. RESULTS Thirty-four subjects completed the study. All groups demonstrated greater internal LOC (measured by ICI scores), and significant differences between groups were observed. Secondary analysis demonstrated relationships between depressive symptoms and anxiety symptoms, and ICI score and time from clinical diagnosis of HD. CONCLUSION As patients with chronic pain and neurodegenerative diseases such as HD are likely to present for chiropractic care, identifying factors such as anxiety, depression and LOC may affect patients' response to care.
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Affiliation(s)
| | - Silvano Mior
- Canadian Memorial Chiropractic College, Toronto, Ontario, Canada
| | - Mark Guttman
- Center for Movement Disorders, Toronto, Ontario, Canada
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224
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Soloveva MV, Jamadar SD, Hughes M, Velakoulis D, Poudel G, Georgiou-Karistianis N. Brain compensation during response inhibition in premanifest Huntington's disease. Brain Cogn 2020; 141:105560. [PMID: 32179366 DOI: 10.1016/j.bandc.2020.105560] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 02/26/2020] [Accepted: 02/28/2020] [Indexed: 01/21/2023]
Abstract
Premanifest Huntington's disease (pre-HD) individuals typically show increased task-related functional magnetic resonance imaging (fMRI), suggested to reflect compensatory strategies. Despite the evidence, no study has attempted to understand the compensatory process in light of 'formal' models of compensation. We used a quantitative model of compensation - the Compensation-Related Utilization of Neural Circuits Hypothesis (CRUNCH), to characterise compensation in pre-HD using fMRI. Pre-HD individuals (n = 15) and controls (n = 15) performed a modified stop-signal task that incremented in four levels of stop difficulty. Our results did not support the critical assumption of the CRUNCH model - controls did not show increased fMRI activity with increased level of stop difficulty; however, controls showed decreased fMRI activity with increased stop difficulty in right inferior frontal gyrus and right caudate nucleus. Relative to controls, pre-HD individuals showed increased fMRI activity in right inferior frontal gyrus and in right caudate nucleus at higher levels of stop difficulty, which is the opposite effect to that predicted by the model. Our findings suggest a compensatory process of the response inhibition network in pre-HD; however, the pattern of fMRI activity was not in the manner expected by CRUNCH.
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Affiliation(s)
- Maria V Soloveva
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria 3800, Australia
| | - Sharna D Jamadar
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria 3800, Australia; Monash Biomedical Imaging, 770 Blackburn Road, Clayton, Victoria 3800, Australia; Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, Victoria 3800, Australia
| | - Matthew Hughes
- School of Health Sciences, Brain and Psychological Sciences Centre, Swinburne University, Hawthorn, Victoria 3122, Australia
| | - Dennis Velakoulis
- Department of Psychiatry, Melbourne Neuropsychiatry Center, University of Melbourne, Parkville, Victoria 3010, Australia
| | - Govinda Poudel
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria 3800, Australia; Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
| | - Nellie Georgiou-Karistianis
- School of Psychological Sciences and Turner Institute for Brain and Mental Health, Monash University, Clayton, Victoria 3800, Australia.
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225
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Wijeratne PA, Johnson EB, Eshaghi A, Aksman L, Gregory S, Johnson HJ, Poudel GR, Mohan A, Sampaio C, Georgiou-Karistianis N, Paulsen JS, Tabrizi SJ, Scahill RI, Alexander DC. Robust Markers and Sample Sizes for Multicenter Trials of Huntington Disease. Ann Neurol 2020; 87:751-762. [PMID: 32105364 PMCID: PMC7187160 DOI: 10.1002/ana.25709] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2019] [Revised: 02/21/2020] [Accepted: 02/21/2020] [Indexed: 01/20/2023]
Abstract
Objective The identification of sensitive biomarkers is essential to validate therapeutics for Huntington disease (HD). We directly compare structural imaging markers across the largest collective imaging HD dataset to identify a set of imaging markers robust to multicenter variation and to derive upper estimates on sample sizes for clinical trials in HD. Methods We used 1 postprocessing pipeline to retrospectively analyze T1‐weighted magnetic resonance imaging (MRI) scans from 624 participants at 3 time points, from the PREDICT‐HD, TRACK‐HD, and IMAGE‐HD studies. We used mixed effects models to adjust regional brain volumes for covariates, calculate effect sizes, and simulate possible treatment effects in disease‐affected anatomical regions. We used our model to estimate the statistical power of possible treatment effects for anatomical regions and clinical markers. Results We identified a set of common anatomical regions that have similarly large standardized effect sizes (>0.5) between healthy control and premanifest HD (PreHD) groups. These included subcortical, white matter, and cortical regions and nonventricular cerebrospinal fluid (CSF). We also observed a consistent spatial distribution of effect size by region across the whole brain. We found that multicenter studies were necessary to capture treatment effect variance; for a 20% treatment effect, power of >80% was achieved for the caudate (n = 661), pallidum (n = 687), and nonventricular CSF (n = 939), and, crucially, these imaging markers provided greater power than standard clinical markers. Interpretation Our findings provide the first cross‐study validation of structural imaging markers in HD, supporting the use of these measurements as endpoints for both observational studies and clinical trials. ANN NEUROL 2020;87:751–762
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Affiliation(s)
- Peter A Wijeratne
- Center for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Eileanoir B Johnson
- Huntington's Disease Research Center, Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, United Kingdom
| | - Arman Eshaghi
- Center for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom.,Queen Square Multiple Sclerosis Center, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Leon Aksman
- Center for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
| | - Sarah Gregory
- Huntington's Disease Research Center, Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, United Kingdom
| | - Hans J Johnson
- Departments of Neurology and Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA.,Department of Biomedical Engineering, College of Engineering, University of Iowa, Iowa City, IA
| | - Govinda R Poudel
- Mary Mackillop Institute of Health Research, Australian Catholic University, Melbourne, Australia
| | | | | | - Nellie Georgiou-Karistianis
- Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences, Faculty of Nursing, Medicine, and Health Sciences, Monash University, Clayton Campus, Victoria, Australia
| | - Jane S Paulsen
- Departments of Neurology and Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Sarah J Tabrizi
- Huntington's Disease Research Center, Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, United Kingdom
| | - Rachael I Scahill
- Huntington's Disease Research Center, Department of Neurodegenerative Disease, University College London, Queen Square Institute of Neurology, London, United Kingdom
| | | | - Daniel C Alexander
- Center for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom
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226
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Trinkler I, Chéhère P, Salgues J, Monin ML, Tezenas du Montcel S, Khani S, Gargiulo M, Durr A. Contemporary Dance Practice Improves Motor Function and Body Representation in Huntington's Disease: A Pilot Study. J Huntingtons Dis 2020; 8:97-110. [PMID: 30776016 DOI: 10.3233/jhd-180315] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Physical exercise improves neurological conditions, but adherence is hard to establish. Dance might be a promising alternative; however, since patients with Huntington's disease (HD) suffer from rhythmic movement execution deficits, any metric dance practice must be avoided. OBJECTIVE Here we asked, if contemporary dance, a lyrical dance form, practiced for two hours per week over five months, might improve motor function, neuropsychiatric variables, cognition and brain volume of HD patients. METHODS Nineteen patients aged between 43 and 78 years with mild to moderate HD (TFC range 7-13, UHDRS motor score range 3-58) participated in this randomized, controlled pilot study (NCT 01842919). The primary outcome measure was total motor score. Secondary outcome measures were differences in brain structure, cognitive function, neuropsychiatric variables, apathy and quality of life. A semi-structured interview assessed participants' experiences. RESULTS Adherence to dance classes was very good. All participants completed 5 months of dance practice. Motor impairment (median [IQR] decreased from 28[6-51] to 27[7-33] for the dance group compared to an increase of 19[13-35] - 25[14-42] for usual care, Z = -2.44, p = 0.015). No other behavioral measures showed any changes.Brain volume increased in the medial superior parietal and paracentral lobule, in line with compensatory structural brain changes in areas supporting spatial and somatosensory processing. These changes were also reflected in patients' reports that contemporary dance altered the way they "felt and lived in their bodies". CONCLUSIONS Contemporary dance practice, through work on spatial and bodily representations, helps improve motor function in HD patients.
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Affiliation(s)
- Iris Trinkler
- Brain and Spine Institute (ICM), Sorbonne Université, Pitié-Salpêtrière University Hospital, Paris, France.,Current affiliation: Department of Sport Sciences, Adapted Physical Activity and Health Unit, University of Strasbourg, 14 Rue René Descartes, 67084 Strasbourg Cedex, France
| | | | | | - Marie-Lorraine Monin
- Brain and Spine Institute (ICM), Sorbonne Université, Pitié-Salpêtrière University Hospital, Paris, France.,AP-HP, Department of Genetics, Pitié-Salpêtrière University Hospital, Paris, France
| | - Sophie Tezenas du Montcel
- AP-HP, Department of Biostatistics and Medical Informatics, Pitié-Salpêtrière University Hospital, Paris, France.,Sorbonne University, Pierre Louis Institute of Epidemiology and Public Health, Paris, France
| | - Sonia Khani
- Brain and Spine Institute (ICM), Sorbonne Université, Pitié-Salpêtrière University Hospital, Paris, France
| | - Marcela Gargiulo
- AP-HP, Department of Genetics, Pitié-Salpêtrière University Hospital, Paris, France.,Laboratory of Clinical Psychology, Psychopathology and Psychoanalysis PCPP, EA 4056, University Paris Descartes, Sorbonne Paris City, Psychology Institute, Boulogne-Billancourt, France.,Institute of Myology, Pitié-Salpêtrière University Hospital, Paris, France
| | - Alexandra Durr
- Brain and Spine Institute (ICM), Sorbonne Université, Pitié-Salpêtrière University Hospital, Paris, France.,AP-HP, Department of Genetics, Pitié-Salpêtrière University Hospital, Paris, France
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227
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Oosterloo M, Craufurd D, Nijsten H, van Duijn E. Obsessive-Compulsive and Perseverative Behaviors in Huntington's Disease. J Huntingtons Dis 2020; 8:1-7. [PMID: 30714966 PMCID: PMC6398547 DOI: 10.3233/jhd-180335] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Background: Neuropsychiatric symptoms are highly prevalent in Huntington’s disease (HD). However, little is known of the prevalence and course of obsessive-compulsive behaviors (OCBs) and perseverative behaviors (PBs) during the progression of the disease. Objective: This review provides a summary of the literature on OCBs and PBs in HD gene expansion carriers (HDGECs). Methods: Pubmed database was searched for articles on OCBs and PBs in HD up to 2017. We used search terms, all synonyms for HD, and various terms for OCBs and PBs. Results: We found 5 case series and 11 original articles that describe a prevalence range of 5 to 52% for OCBs and up to 75% for PBs depending on disease stage and measurement scale used. Premanifest HDGECs report more OCBs compared to controls, and manifest HDGECs report a higher rate of OCBs compared to premanifest HDGECs. OCBs and PBs are associated with a longer disease duration and disease severity in manifest HDGECs, but decrease in the most advanced stages. When HDGECs come closer to estimated motor onset, the companion ratings on OCBs appear to be higher than the self-ratings of HDGECs. Conclusions: Both OCBs and PBs are characteristic neuropsychiatric features of HD. Perseveration is probably best distinguished from OCBs as it occurs without the individual’s full awareness or insight into their presence (and the behavior may not be distressing). Although these behaviors are seldom distinguished, we conclude that differentiating OCBs from PBs in HD is beneficial for the management and treatment of these symptoms in HDGECs.
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Affiliation(s)
- Mayke Oosterloo
- Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - David Craufurd
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Manchester Centre for Genomic Medicine, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Hanneke Nijsten
- Archipel Landrijt, Knowledge Center for Specialized Care, Eindhoven, The Netherlands
| | - Erik van Duijn
- Department of Psychiatry, Leiden University Medical Centre, Leiden; and Centre for Mental Health Care Delfland, Delft, The Netherlands
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228
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Coppen EM, Jacobs M, van der Zwaan KF, Middelkoop HAM, Roos RAC. Visual Object Perception in Premanifest and Early Manifest Huntington's Disease. Arch Clin Neuropsychol 2020; 34:1320-1328. [PMID: 30796801 PMCID: PMC7227804 DOI: 10.1093/arclin/acz002] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 12/31/2018] [Accepted: 01/11/2019] [Indexed: 01/06/2023] Open
Abstract
OBJECTIVE In Huntington's disease (HD), a hereditary neurodegenerative disorder, cognitive impairment in early disease stages mainly involves executive dysfunction. However, visual cognitive deficits have additionally been reported and are of clinical relevance given their influence on daily life and overall cognitive performance. This study aimed to assess visual perceptual skills in HD gene carriers. METHODS Subtasks of the Visual Object and Space Perception battery and Groningen Intelligence Test were administered in 62 participants (18 healthy controls, 22 participants with a genetic confirmation of HD without symptoms, i.e., premanifest HD, and 22 participants with a genetic confirmation of HD with symptoms, i.e., manifest HD). Group differences in task performance were measured using analysis of covariance with and without correction for age. Receiver Operating Characteristics (ROC) analysis was performed to examine which task best discriminated between groups and cut-off scores were provided. RESULTS Manifest HD performed significantly worse compared to both controls and premanifest HD on all visual perceptional tasks. Premanifest HD did not differ in task performance from controls. Besides the Shape Detection, all tasks were robust in discriminating between groups. The Animal Silhouettes test was most accurate in discriminating manifest HD from premanifest HD (AUC = 0.90, SE = 0.048, p < .001). CONCLUSION Visual perceptual deficits are present in early manifest HD, especially an impaired recognition of animals and objects from sketched silhouettes, and not in premanifest HD. This suggests that decline in visual processing only occurs in clinical disease stages. The visual cognitive battery, especially the Silhouettes tasks used in this study is sensitive in discriminating manifest HD from premanifest HD and controls.
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Affiliation(s)
- Emma M Coppen
- Department of Neurology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands
| | - Milou Jacobs
- Department of Neurology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands
| | - Kasper F van der Zwaan
- Department of Neurology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands
| | - Huub A M Middelkoop
- Department of Clinical Neuropsychology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands.,Department of Psychology, Leiden University, 2300 RB, Leiden, the Netherlands
| | - Raymund A C Roos
- Department of Neurology, Leiden University Medical Center, 2333 ZA, Leiden, the Netherlands
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229
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Deficit in Motor Skill Consolidation-Dependent Synaptic Plasticity at Motor Cortex to Dorsolateral Striatum Synapses in a Mouse Model of Huntington's Disease. eNeuro 2020; 7:ENEURO.0297-19.2020. [PMID: 32144144 PMCID: PMC7139551 DOI: 10.1523/eneuro.0297-19.2020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 01/23/2020] [Accepted: 01/29/2020] [Indexed: 11/21/2022] Open
Abstract
Huntington's disease (HD) is a neurodegenerative disease notably characterized by progressive motor symptoms. Although the loss of medium spiny neurons (MSNs) in the striatum has been associated with motor deficits, premanifest patients already present cognitive deficiencies and show early signs of motor disabilities. Here, in a YAC128 HD mouse model, we identified impairment in motor skill consolidation at the age of 11-14 weeks. Using optogenetic stimulation, we found that excitatory synaptic transmission from motor cortex to MSNs located in the dorsolateral part of the striatum (DLS) is altered. Using single pellet reaching task, we observed that while motor skill consolidation is accompanied by a dynamic change in AMPA/NMDA ratio in wild-type (WT) mice, this form of synaptic plasticity does not occur in YAC128 mice. This study not only proposes new meaningful insight in the synaptopathic mechanisms of HD, but also highlights that deficit in motor skill consolidation-dependent synaptic plasticity at motor cortex to DLS synapses represents an early biomarker for HD.
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230
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Sweidan W, Bao F, Bozorgzad NS, George E. White and Gray Matter Abnormalities in Manifest Huntington's Disease: Cross-Sectional and Longitudinal Analysis. J Neuroimaging 2020; 30:351-358. [PMID: 32128927 DOI: 10.1111/jon.12699] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 02/06/2020] [Accepted: 02/18/2020] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND AND PURPOSE Early white matter (WM) changes and cortical atrophy in Huntington's disease (HD) are often evident before disease onset and extend through the brain during manifest stages. The trajectory of these brain abnormalities in symptomatic stages remains relatively unexplored. The aim of this study is to investigate how the pattern of WM and gray matter (GM) alterations progress over time. METHODS We investigated alterations in brain WM, cortical thickness, and subcortical structures using diffusion and structural magnetic resonance imaging, in manifest HD patients (n = 13) compared to age-matched healthy controls (n = 11). Imaging and clinical data for the HD group were collected at follow-up (7 months) to explore possible longitudinal changes. RESULTS Cross-sectional analyses identified significant posterior cortical thinning (P < .05) and symmetric fractional anisotropy (FA) reduction (P < .01) in brain WM of HD group compared to HC. These changes were strongly correlated with impairment in motor symptoms and processing speed. Subcortical atrophy was significant in caudate, putamen, globus pallidus, and thalamus (P < .001). Regions of interest analysis revealed a significant reduction in FA of the corpus callosum (CC) (-2.19%, P < .05) upon follow-up, whereas no significant cortical thinning and subcortical atrophy was found. CONCLUSIONS This study showed broad GM and WM abnormalities in manifest HD patients. Reductions in FA and cortical thinning correlated significantly with the disturbances of motor and cognitive processing that describe HD. Follow-up assessment showed that the CC is compromised in the absence of detectable GM changes or motor decline, suggesting it plays an important role in disease progression.
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Affiliation(s)
- Wafaa Sweidan
- Department of Psychiatry, Wayne State University, Detroit, MI
| | - Fen Bao
- Department of Neurology, Wayne State University, Detroit, MI
| | | | - Edwin George
- Department of Neurology, Wayne State University, Detroit, MI
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231
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Dinesh K, Snyder CW, Xiong M, Tarolli CG, Sharma S, Dorsey ER, Sharma G, Adams JL. A Longitudinal Wearable Sensor Study in Huntington’s Disease. J Huntingtons Dis 2020; 9:69-81. [DOI: 10.3233/jhd-190375] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Karthik Dinesh
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
| | - Christopher W. Snyder
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
| | - Mulin Xiong
- Michigan State University College of Human Medicine, East Lansing, MI, USA
| | - Christopher G. Tarolli
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Saloni Sharma
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
| | - E. Ray Dorsey
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
| | - Gaurav Sharma
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA
| | - Jamie L. Adams
- Center for Health + Technology, University of Rochester Medical Center, Rochester, NY, USA
- Department of Neurology, University of Rochester Medical Center, Rochester, NY, USA
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232
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Martinez-Horta S, Horta-Barba A, Perez-Perez J, Sampedro F, de Lucia N, De Michele G, Kehrer S, Priller J, Migliore S, Squitieri F, Castaldo A, Mariotti C, Mañanes V, Lopez-Sendon JL, Rodriguez N, Martinez-Descals A, Garcia-Ruiz P, Júlio F, Januário C, Delussi M, de Tommaso M, Noguera S, Ruiz-Idiago J, Sitek EJ, Nuzzi A, Pagonabarraga J, Kulisevsky J. Utility of the Parkinson's disease-Cognitive Rating Scale for the screening of global cognitive status in Huntington's disease. J Neurol 2020; 267:1527-1535. [PMID: 32030521 DOI: 10.1007/s00415-020-09730-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 01/22/2020] [Accepted: 01/24/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND Cognitive impairment is an essential feature of Huntington's disease (HD) and dementia is a predictable outcome in all patients. However, validated instruments to assess global cognitive performance in the field of HD are lacking. OBJECTIVES We aimed to explore the utility of the Parkinson's disease-Cognitive Rating Scale (PD-CRS) for the screening of global cognition in HD. METHODS A multicenter cohort of 132 HD patients at different disease stages and 33 matched healthy controls were classified as having preserved cognition, mild cognitive impairment (HD-MCI) or dementia (HD-Dem) according to the Clinical Dementia Rating and Functional Independence Score. The PD-CRS and the Mini-Mental State Examination were administered. Receiver operating characteristic curve analysis was used to determine optimal cutoffs to differentiate patients according to their cognitive status. RESULTS A PD-CRS cutoff score ≤ 81/82 was optimal to detect HD-MCI (sensitivity = 93%; specificity = 80%; area under the curve (AUC) = 0.940), and ≤ 63/64 was optimal to detect HD-Dem (sensitivity = 90%; specificity = 87%; AUC = 0.933). MMSE scores failed to show robust psychometric properties in this context. DISCUSSION The PD-CRS is a valid and reliable instrument to assess global cognition in HD in routine clinical care and clinical trials.
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Affiliation(s)
- Saul Martinez-Horta
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Mas Casanovas 90, 08041, Barcelona, Spain.,Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Autonomous University of Barcelona, Barcelona, Spain.,European Huntington's Disease Network (EHDN), Ulm, Germany
| | - Andrea Horta-Barba
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Mas Casanovas 90, 08041, Barcelona, Spain.,Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,European Huntington's Disease Network (EHDN), Ulm, Germany
| | - Jesús Perez-Perez
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Mas Casanovas 90, 08041, Barcelona, Spain.,Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Autonomous University of Barcelona, Barcelona, Spain.,European Huntington's Disease Network (EHDN), Ulm, Germany
| | - Frederic Sampedro
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Mas Casanovas 90, 08041, Barcelona, Spain.,Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Autonomous University of Barcelona, Barcelona, Spain
| | - Natascia de Lucia
- European Huntington's Disease Network (EHDN), Ulm, Germany.,University of Naples "Federico II", Naples, Italy
| | - Giuseppe De Michele
- European Huntington's Disease Network (EHDN), Ulm, Germany.,University of Naples "Federico II", Naples, Italy
| | - Stefanie Kehrer
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Department of Neuropsychiatry, Charité, Universitätsmedizin, Berlin, Germany
| | - Josef Priller
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Department of Neuropsychiatry, Charité, Universitätsmedizin, Berlin, Germany
| | - Simone Migliore
- Huntington and Rare Diseases Unit, Fondazione IRCCS Casa Sollievo della Sofferenza Research Hospital, San Giovanni Rotondo, Italy
| | - Ferdinando Squitieri
- Huntington and Rare Diseases Unit, Fondazione IRCCS Casa Sollievo della Sofferenza Research Hospital, San Giovanni Rotondo, Italy
| | - Anna Castaldo
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | - Caterina Mariotti
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy
| | - Veronica Mañanes
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Department of Neurology, Hospital Universitario Ramon y Cajal, Madrid, Spain
| | - Jose Luis Lopez-Sendon
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Department of Neurology, Hospital Universitario Ramon y Cajal, Madrid, Spain
| | - Noelia Rodriguez
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Department of Neurology, Fundación Jimenez Diaz, Madrid, Spain
| | - Asunción Martinez-Descals
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Department of Neurology, Fundación Jimenez Diaz, Madrid, Spain
| | - Pedro Garcia-Ruiz
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Department of Neurology, Fundación Jimenez Diaz, Madrid, Spain
| | - Filipa Júlio
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Neurology Department, Coimbra University Hospital, Coimbra, Portugal.,Coimbra Institute for Biomedical Imaging and Translational Research - CIBIT, University of Coimbra, Coimbra, Portugal
| | - Cristina Januário
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Neurology Department, Coimbra University Hospital, Coimbra, Portugal.,Coimbra Institute for Biomedical Imaging and Translational Research - CIBIT, University of Coimbra, Coimbra, Portugal
| | - Marianna Delussi
- European Huntington's Disease Network (EHDN), Ulm, Germany.,SMBNOS Department, Bari Aldo Moro University, Bari, Italy
| | - Marina de Tommaso
- European Huntington's Disease Network (EHDN), Ulm, Germany.,SMBNOS Department, Bari Aldo Moro University, Bari, Italy
| | - Sandra Noguera
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Hospital Mare de Deu de la Mercè, Barcelona, Spain
| | - Jesus Ruiz-Idiago
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Hospital Mare de Deu de la Mercè, Barcelona, Spain.,Department of Psychiatry and Forensic Medicine, Autonomous University of Barcelona, Barcelona, Spain
| | - Emilia J Sitek
- European Huntington's Disease Network (EHDN), Ulm, Germany.,Department of Neurological and Psychiatric Nursing, Faculty of Health Sciences, Medical University of Gdansk, Gdańsk, Poland.,Department of Neurology, St. Adalbert Hospital, Copernicus, PL, Gdańsk, Poland
| | - Angela Nuzzi
- European Huntington's Disease Network (EHDN), Ulm, Germany
| | - Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Mas Casanovas 90, 08041, Barcelona, Spain.,Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain.,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain.,Autonomous University of Barcelona, Barcelona, Spain.,European Huntington's Disease Network (EHDN), Ulm, Germany
| | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Mas Casanovas 90, 08041, Barcelona, Spain. .,Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain. .,Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain. .,Autonomous University of Barcelona, Barcelona, Spain. .,European Huntington's Disease Network (EHDN), Ulm, Germany.
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233
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Hunefeldt T, Maffi S, Migliore S, Squitieri F, Belardinelli MO. Emotion recognition and inhibitory control in manifest and pre-manifest Huntington's disease: evidence from a new Stroop task. Neural Regen Res 2020; 15:1518-1525. [PMID: 31997817 PMCID: PMC7059581 DOI: 10.4103/1673-5374.274342] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Huntington's disease (HD) is a genetic neurodegenerative disorder that affects not only the motor but also the cognitive domain. In particular, cognitive symptoms such as impaired executive skills and deficits in recognizing other individuals' mental state may emerge many years before the motor symptoms. This study was aimed at testing two cognitive hypotheses suggested by previous research with a new Stroop task created for the purpose: 1) the impairment of emotion recognition in HD is moderated by the emotions' valence, and 2) inhibitory control is impaired in HD. Forty manifest and 20 pre-manifest HD patients and their age- and gender-matched controls completed both the traditional "Stroop Color and Word Test" (SCWT) and the newly created "Stroop Emotion Recognition under Word Interference Task" (SERWIT), which consist in 120 photographs of sad, calm, or happy faces with either congruent or incongruent word interference. On the SERWIT, impaired emotion recognition in manifest HD was moderated by emotion type, with deficits being larger in recognizing sadness and calmness than in recognizing happiness, but it was not moderated by stimulus congruency. On the SCWT, six different interference scores yielded as many different patterns of group effects. Overall our results corroborate the hypothesis that impaired emotion recognition in HD is moderated by the emotions' valence, but do not provide evidence for the hypothesis that inhibitory control is impaired in HD. Further research is needed to learn more about the psychological mechanisms underlying the moderating effect of emotional valence on impaired emotion recognition in HD, and to corroborate the hypothesis that the inhibitory processes involved in Stroop tasks are not impaired in HD. Looking beyond this study, the SERWIT promises to make important contributions to disentangling the cognitive and the psychomotor aspects of neurological disorders. The research was approved by the Ethics Committee of the "Istituto Leonarda Vaccari", Rome on January 24, 2018.
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Affiliation(s)
| | - Sabrina Maffi
- Huntington and Rare Diseases Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Simone Migliore
- Huntington and Rare Diseases Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Ferdinando Squitieri
- Huntington and Rare Diseases Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
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234
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Polosecki P, Castro E, Rish I, Pustina D, Warner JH, Wood A, Sampaio C, Cecchi GA. Resting-state connectivity stratifies premanifest Huntington's disease by longitudinal cognitive decline rate. Sci Rep 2020; 10:1252. [PMID: 31988371 PMCID: PMC6985137 DOI: 10.1038/s41598-020-58074-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 01/10/2020] [Indexed: 11/17/2022] Open
Abstract
Patient stratification is critical for the sensitivity of clinical trials at early stages of neurodegenerative disorders. In Huntington’s disease (HD), genetic tests make cognitive, motor and brain imaging measurements possible before symptom manifestation (pre-HD). We evaluated pre-HD stratification models based on single visit resting-state functional MRI (rs-fMRI) data that assess observed longitudinal motor and cognitive change rates from the multisite Track-On HD cohort (74 pre-HD, 79 control participants). We computed longitudinal performance change on 10 tasks (including visits from the preceding TRACK-HD study when available), as well as functional connectivity density (FCD) maps in single rs-fMRI visits, which showed high test-retest reliability. We assigned pre-HD subjects to subgroups of fast, intermediate, and slow change along single tasks or combinations of them, correcting for expectations based on aging; and trained FCD-based classifiers to distinguish fast- from slow-progressing individuals. For robustness, models were validated across imaging sites. Stratification models distinguished fast- from slow-changing participants and provided continuous assessments of decline applicable to the whole pre-HD population, relying on previously-neglected white matter functional signals. These results suggest novel correlates of early deterioration and a robust stratification strategy where a single MRI measurement provides an estimate of multiple ongoing longitudinal changes.
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Affiliation(s)
- Pablo Polosecki
- IBM T.J. Watson Research Center, Yorktown Heights, Yorktown, NY, USA.
| | - Eduardo Castro
- IBM T.J. Watson Research Center, Yorktown Heights, Yorktown, NY, USA
| | - Irina Rish
- IBM T.J. Watson Research Center, Yorktown Heights, Yorktown, NY, USA
| | | | | | - Andrew Wood
- CHDI Management/CHDI Foundation, Princeton, NJ, USA
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235
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Radulescu CI, Garcia-Miralles M, Sidik H, Bardile CF, Yusof NABM, Lee HU, Ho EXP, Chu CW, Layton E, Low D, De Sessions PF, Pettersson S, Ginhoux F, Pouladi MA. Reprint of: Manipulation of microbiota reveals altered callosal myelination and white matter plasticity in a model of Huntington disease. Neurobiol Dis 2020; 135:104744. [PMID: 31931139 DOI: 10.1016/j.nbd.2020.104744] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 02/02/2019] [Accepted: 02/20/2019] [Indexed: 12/19/2022] Open
Abstract
Structural and molecular myelination deficits represent early pathological features of Huntington disease (HD). Recent evidence from germ-free (GF) animals suggests a role for microbiota-gut-brain bidirectional communication in the regulation of myelination. In this study, we aimed to investigate the impact of microbiota on myelin plasticity and oligodendroglial population dynamics in the mixed-sex BACHD mouse model of HD. Ultrastructural analysis of myelin in the corpus callosum revealed alterations of myelin thickness in BACHD GF compared to specific-pathogen free (SPF) mice, whereas no differences were observed between wild-type (WT) groups. In contrast, myelin compaction was altered in all groups when compared to WT SPF animals. Levels of myelin-related proteins were generally reduced, and the number of mature oligodendrocytes was decreased in the prefrontal cortex under GF compared to SPF conditions, regardless of genotype. Minor differences in commensal bacteria at the family and genera levels were found in the gut microbiota of BACHD and WT animals housed in standard living conditions. Our findings indicate complex effects of a germ-free status on myelin-related characteristics, and highlight the adaptive properties of myelination as a result of environmental manipulation.
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Affiliation(s)
- Carola I Radulescu
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), 138648, Singapore; Department of Psychology, The University of Sheffield, S1 2LT, UK
| | - Marta Garcia-Miralles
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), 138648, Singapore
| | - Harwin Sidik
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), 138648, Singapore
| | - Costanza Ferrari Bardile
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), 138648, Singapore
| | - Nur Amirah Binte Mohammad Yusof
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), 138648, Singapore
| | - Hae Ung Lee
- Lee Kong Chian School of Medicine, Nanyang Technological University, 637551, Singapore
| | - Eliza Xin Pei Ho
- GIS Efficient Rapid Microbial Sequencing, Genome Institute of Singapore, A*STAR, 138672, Singapore
| | - Collins Wenhan Chu
- GIS Efficient Rapid Microbial Sequencing, Genome Institute of Singapore, A*STAR, 138672, Singapore
| | - Emma Layton
- GIS Efficient Rapid Microbial Sequencing, Genome Institute of Singapore, A*STAR, 138672, Singapore
| | - Donovan Low
- Singapore Immunology Network, A*STAR, 138648, Singapore
| | - Paola Florez De Sessions
- GIS Efficient Rapid Microbial Sequencing, Genome Institute of Singapore, A*STAR, 138672, Singapore
| | - Sven Pettersson
- Lee Kong Chian School of Medicine, Nanyang Technological University, 637551, Singapore; Singapore Centre for Environmental Life Sciences Engineering, 60 Nanyang Drive, 637551, Singapore
| | | | - Mahmoud A Pouladi
- Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), 138648, Singapore; Department of Medicine, National University of Singapore, 117597, Singapore; Department of Physiology, National University of Singapore, 117597, Singapore.
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236
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Rudge P, Jaunmuktane Z, Hyare H, Ellis M, Koltzenburg M, Collinge J, Brandner S, Mead S. Early neurophysiological biomarkers and spinal cord pathology in inherited prion disease. Brain 2020; 142:760-770. [PMID: 30698738 PMCID: PMC6391599 DOI: 10.1093/brain/awy358] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 11/07/2018] [Accepted: 11/26/2018] [Indexed: 11/29/2022] Open
Abstract
A common presentation of inherited prion disease is Gerstmann-Sträussler-Scheinker syndrome, typically presenting with gait ataxia and painful dysaesthesiae in the legs evolving over 2–5 years. The most frequent molecular genetic diagnosis is a P102L mutation of the prion protein gene (PRNP). There is no explanation for why this clinical syndrome is so distinct from Creutzfeldt-Jakob disease, and biomarkers of the early stages of disease have not been developed. Here we aimed, first, at determining if quantitative neurophysiological assessments could predict clinical diagnosis or disability and monitor progression and, second, to determine the neuropathological basis of the initial clinical and neurophysiological findings. We investigated subjects known to carry the P102L mutation in the longitudinal observational UK National Prion Monitoring Cohort study, with serial assessments of clinical features, peripheral nerve conduction, H and F components, threshold tracking and histamine flare and itch response and neuropathological examination in some of those who died. Twenty-three subjects were studied over a period of up to 12 years, including 65 neurophysiological assessments at the same department. Six were symptomatic throughout and six became symptomatic during the study. Neurophysiological abnormalities were restricted to the lower limbs. In symptomatic patients around the time of, or shortly after, symptom onset the H-reflex was lost. Lower limb thermal thresholds were at floor/ceiling in some at presentation, in others thresholds progressively deteriorated. Itch sensation to histamine injection was lost in most symptomatic patients. In six patients with initial assessments in the asymptomatic stage of the disease, a progressive deterioration in the ability to detect warm temperatures in the feet was observed prior to clinical diagnosis and the onset of disability. All of these six patients developed objective abnormalities of either warm or cold sensation prior to the onset of significant symptoms or clinical diagnosis. Autopsy examination in five patients (including two not followed clinically) showed prion protein in the substantia gelatinosa, spinothalamic tracts, posterior columns and nuclei and in the neuropil surrounding anterior horn cells. In conclusion, sensory symptoms and loss of reflexes in Gerstmann-Sträussler-Scheinker syndrome can be explained by neuropathological changes in the spinal cord. We conclude that the sensory symptoms and loss of lower limb reflexes in Gerstmann-Sträussler-Scheinker syndrome is due to pathology in the caudal spinal cord. Neuro-physiological measures become abnormal around the time of symptom onset, prior to diagnosis, and may be of value for improved early diagnosis and for recruitment and monitoring of progression in clinical trials.
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Affiliation(s)
- Peter Rudge
- National Prion Clinic, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust (UCLH), London, UK.,MRC Prion Unit at UCL, Institute of Prion Diseases, 33 Cleveland St. London, UK
| | - Zane Jaunmuktane
- Division of Neuropathology, National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, Queen Square, London, UK
| | - Harpreet Hyare
- University College London NHS Foundation Trust, Queen Square, London, UK
| | - Matthew Ellis
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
| | - Martin Koltzenburg
- University College London NHS Foundation Trust, Queen Square, London, UK
| | - John Collinge
- National Prion Clinic, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust (UCLH), London, UK.,MRC Prion Unit at UCL, Institute of Prion Diseases, 33 Cleveland St. London, UK
| | - Sebastian Brandner
- Division of Neuropathology, National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, Queen Square, London, UK.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
| | - Simon Mead
- National Prion Clinic, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust (UCLH), London, UK.,MRC Prion Unit at UCL, Institute of Prion Diseases, 33 Cleveland St. London, UK
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237
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Soloveva MV, Jamadar SD, Velakoulis D, Poudel G, Georgiou-Karistianis N. Brain compensation during visuospatial working memory in premanifest Huntington's disease. Neuropsychologia 2020; 136:107262. [DOI: 10.1016/j.neuropsychologia.2019.107262] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 11/04/2019] [Accepted: 11/11/2019] [Indexed: 01/21/2023]
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238
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Xie S, Li X, McColgan P, Scahill RI, Zeng D, Wang Y. Identifying disease-associated biomarker network features through conditional graphical model. Biometrics 2019; 76:995-1006. [PMID: 31850527 DOI: 10.1111/biom.13201] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 07/25/2019] [Accepted: 12/04/2019] [Indexed: 01/28/2023]
Abstract
Biomarkers are often organized into networks, in which the strengths of network connections vary across subjects depending on subject-specific covariates (eg, genetic variants). Variation of network connections, as subject-specific feature variables, has been found to predict disease clinical outcome. In this work, we develop a two-stage method to estimate biomarker networks that account for heterogeneity among subjects and evaluate network's association with disease clinical outcome. In the first stage, we propose a conditional Gaussian graphical model with mean and precision matrix depending on covariates to obtain covariate-dependent networks with connection strengths varying across subjects while assuming homogeneous network structure. In the second stage, we evaluate clinical utility of network measures (connection strengths) estimated from the first stage. The second-stage analysis provides the relative predictive power of between-region network measures on clinical impairment in the context of regional biomarkers and existing disease risk factors. We assess the performance of proposed method by extensive simulation studies and application to a Huntington's disease (HD) study to investigate the effect of HD causal gene on the rate of change in motor symptom through affecting brain subcortical and cortical gray matter atrophy connections. We show that cortical network connections and subcortical volumes, but not subcortical connections are identified to be predictive of clinical motor function deterioration. We validate these findings in an independent HD study. Lastly, highly similar patterns seen in the gray matter connections and a previous white matter connectivity study suggest a shared biological mechanism for HD and support the hypothesis that white matter loss is a direct result of neuronal loss as opposed to the loss of myelin or dysmyelination.
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Affiliation(s)
- Shanghong Xie
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York
| | - Xiang Li
- Statistics and Decision Sciences, Janssen Research & Development, LLC, Raritan, New Jersey
| | - Peter McColgan
- Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Rachael I Scahill
- Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Donglin Zeng
- Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina
| | - Yuanjia Wang
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York.,Department of Psychiatry, Columbia University Medical Center, New York
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239
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Psychometric properties and responsiveness of Neuro-QoL Cognitive Function in persons with Huntington disease (HD). Qual Life Res 2019; 29:1393-1403. [PMID: 31853881 DOI: 10.1007/s11136-019-02391-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/09/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE Individuals with Huntington disease (HD) experience progressive cognitive decline that may appear years before motor manifestations of the disease. These declines have a profound effect on health-related quality of life (HRQOL) over the disease course, and thus it is important that self-report measures of cognitive function are validated for use in longitudinal studies. METHODS 359 individuals with premanifest or manifest HD completed baseline and at least one follow-up (12- and 24-month) assessment. Neuro-QoL™ Cognitive Function was administered at each time-point. Participants completed a self-reported global rating of cognitive change, as well as performance-based cognitive changes (using the Symbol Digit Modalities Test). Standardized response means (SRMs) and general linear models evaluated whether Neuro-QoL™ Cognitive Function was responsive to change over time with respect to self-reported and performance-based anchors. Test-retest reliability and known-group validity were also examined. RESULTS Responsiveness was supported by effect sizes that were small in magnitude, but in the expected direction relative to self-reported and performance-based change. General linear models generally supported 12- and 24-month responsiveness relative to self-reported cognitive change and 12-month responsiveness relative to performance-based change. Test-retest reliability was excellent, and the measure exhibited known-group validity. CONCLUSION Longitudinal analyses generally indicate that the Neuro-QoL™ Cognitive Function measure is sensitive to change over time in individuals with HD. Neuro-QoL Cognitive Function changes reflect self-reported cognitive change at 12 and 24 months and performance-based change at 12 months. This measure may be useful in clinical trials or longitudinal observation studies.
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240
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Ramirez-Garcia G, Galvez V, Diaz R, Bayliss L, Fernandez-Ruiz J, Campos-Romo A. Longitudinal atrophy characterization of cortical and subcortical gray matter in Huntington's disease patients. Eur J Neurosci 2019; 51:1827-1843. [PMID: 31705594 DOI: 10.1111/ejn.14617] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 10/18/2019] [Accepted: 10/29/2019] [Indexed: 01/18/2023]
Abstract
Huntington's disease (HD) is an inherited neurodegenerative disease with clinical manifestations that involve motor, cognitive and psychiatric deficits. Cross-sectional magnetic resonance imaging (MRI) studies have described the main cortical and subcortical macrostructural atrophy of HD. However, longitudinal studies characterizing progressive atrophy are lacking. This study aimed to describe the cortical and subcortical gray matter atrophy using complementary volumetric and surface-based MRI analyses in a cohort of seventeen early HD patients in a cross-sectional and longitudinal analysis and to correlate the longitudinal volumetric atrophy with the functional decline using several clinical measures. A group of seventeen healthy individuals was included as controls. After obtaining structural MRIs, volumetric analyses were performed in 36 cortical and 7 subcortical regions of interest per hemisphere and surface-based analyses were performed in the whole cortex, caudate, putamen and thalamus. Cross-sectional cortical surface-based and volumetric analyses showed significant decreases in frontoparietal and temporo-occipital cortices, while subcortical volumetric analysis showed significant decreases in all subcortical structures except the hippocampus. The longitudinal surface-based analysis showed widespread cortical thinning with volumetric decreases in the superior frontal lobe, while a subcortical volumetric decrease occurred in the caudate, putamen and thalamus with shape deformation on the anterior, medial and dorsal side. Functional capacity and motor status decline correlated with caudate progressive atrophy, while cognitive decline correlated with left superior frontal and right paracentral progressive atrophy. These results provide new insights into progressive volumetric and surface-based morphometric atrophy of gray matter in HD.
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Affiliation(s)
- Gabriel Ramirez-Garcia
- Unidad Periférica de Neurociencias, Facultad de Medicina, Instituto Nacional de Neurología y Neurocirugía "MVS", Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Víctor Galvez
- Laboratorio de Neurociencias Cognitivas y Desarrollo, Escuela de Psicología, Universidad Panamericana, Ciudad de México, México
| | - Rosalinda Diaz
- Laboratorio de Neuropsicología, Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México
| | - Leo Bayliss
- Departamento de Neurología, Instituto Nacional de Neurología y Neurocirugía "MVS", Ciudad de México, México
| | - Juan Fernandez-Ruiz
- Laboratorio de Neuropsicología, Departamento de Fisiología, Facultad de Medicina, Universidad Nacional Autónoma de México, Ciudad de México, México.,Instituto de Neuroetología, Universidad Veracruzana, Ciudad de México, México.,Facultad de Psicología, Universidad Veracruzana, Ciudad de México, México
| | - Aurelio Campos-Romo
- Unidad Periférica de Neurociencias, Facultad de Medicina, Instituto Nacional de Neurología y Neurocirugía "MVS", Universidad Nacional Autónoma de México, Ciudad de México, México
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241
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Martínez-Horta S, Horta-Barba A, Perez-Perez J, Antoran M, Pagonabarraga J, Sampedro F, Kulisevsky J. Impaired face-like object recognition in premanifest Huntington's disease. Cortex 2019; 123:162-172. [PMID: 31794910 DOI: 10.1016/j.cortex.2019.10.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2019] [Revised: 09/02/2019] [Accepted: 10/22/2019] [Indexed: 11/15/2022]
Abstract
Progressive striatal atrophy has long been considered the pathological hallmark of Huntington's disease (HD), but is it now recognized that malfunction and degeneration of posterior-cortical territories are also prominent characteristics of the disease. The limited knowledge about the functional impact of these posterior-cortical changes could be partially attributed to the lack of sensitive measures to capture them. We hypothesized that early malfunction of specific territories of the ventral visual pathway in premanifest HD would lead to difficulties in the recognition of complex stimuli and to differences in their neurophysiological correlates. To test this idea, we used an object, face and face-like object recognition task to be conducted during an electroencephalographic recording. Compared to healthy-matched controls, premanifest participants showed a significantly increased number of recognition errors in the face-like object condition. Moreover, premanifest participants showed a dramatic decrease in the N170 component elicited for the face-like objects. This N170 decrease was significantly associated with the number of recognition errors and with severity of apathy and global cognitive performance. The lack of differences in other clinical and cognitive measures supports a selective deficit in recognition of face-like objects and their neurophysiological correlates in premanifest HD. These deficits occurred in participants up to 15 years before the estimated time to disease onset and correlated strongly with cognitive and behavioral measures known to be sensitive to HD progression. This finding highlights the existence of selective visuoperceptive deficits years before motor-based onset of HD and emphasizes the need to develop sensitive measures to capture early visual system changes in this population. Assessing the integrity of the visual cortex and its related functions in HD could help to identify early markers of disease progression.
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Affiliation(s)
- Saul Martínez-Horta
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Department of Medicine, Autonomous University of Barcelona, Spain; European Huntington's Disease Network (EHDN), Germany
| | - Andrea Horta-Barba
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Department of Medicine, Autonomous University of Barcelona, Spain; European Huntington's Disease Network (EHDN), Germany
| | - Jesús Perez-Perez
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Department of Medicine, Autonomous University of Barcelona, Spain; European Huntington's Disease Network (EHDN), Germany
| | - Mizar Antoran
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain
| | - Javier Pagonabarraga
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Department of Medicine, Autonomous University of Barcelona, Spain
| | - Frederic Sampedro
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Department of Medicine, Autonomous University of Barcelona, Spain
| | - Jaime Kulisevsky
- Movement Disorders Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain; Biomedical Research Institute (IIB-Sant Pau), Barcelona, Spain; Centro de Investigación en Red-Enfermedades Neurodegenerativas (CIBERNED), Spain; Department of Medicine, Autonomous University of Barcelona, Spain; European Huntington's Disease Network (EHDN), Germany.
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242
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The effect of impulsivity and inhibitory control deficits in the saccadic behavior of premanifest Huntington's disease individuals. Orphanet J Rare Dis 2019; 14:246. [PMID: 31703597 PMCID: PMC6839196 DOI: 10.1186/s13023-019-1218-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 10/09/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND This study aims to test response inhibition in premanifest Huntington's disease individuals (Pre-HD), in the context of a saccadic paradigm with working memory demands and fronto-executive load as a way to measure inhibitory control deficits and impulsive behavior in Huntington's disease (HD). METHODS The oculomotor function of 15 Pre-HD and 22 Control individuals was assessed using an experimental paradigm comprising four horizontal saccadic tasks: prosaccade (PS), antisaccade (AS), 1- or 2-back memory prosaccade (MPS), and 1- or 2-back memory antisaccade (MAS). Success rate, latency, directional and timing errors were calculated for each task. A comprehensive battery of neuropsychological tests was also used to assess the overall cognitive functioning of study participants. Statistical correlations between oculomotor, clinical and cognitive measures were computed for the Pre-HD group. RESULTS Pre-HD participants showed reduced success rate in the AS task, increased direction errors in the AS and MAS tasks and decreased latency in the MAS task when compared to Controls, despite presenting similar executive and memory scores in the conventional neuropsychological tests applied. Significant associations were identified between specific AS and MAS parameters and disease-related measures, cognitive skills and other oculomotor results of Pre-HD participants. CONCLUSIONS Our results show that oculomotor performance in premanifest Huntington's disease deteriorates once inhibitory control, working memory and/or fronto-executive load are added to the task. A more automatic pattern of performance, including a faster response time and directionally erroneous eye movements were detected in the oculomotor behavior of the Pre-HD group-these alterations were significantly correlated with disease stage and cognitive status. Our saccadic paradigm was able to capture impulsivity and inhibitory control deficits in a group of Pre-HD individuals on average far from symptom onset, thus holding the potential to identify the earliest disease-related changes.
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243
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Simpson J, Dale M, Theed R, Gunn S, Zarotti N, Eccles FJR. Validity of irritability in Huntington's disease: A scoping review. Cortex 2019; 120:353-374. [PMID: 31401402 DOI: 10.1016/j.cortex.2019.06.012] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 06/18/2019] [Accepted: 06/29/2019] [Indexed: 01/01/2023]
Abstract
PURPOSE To scope the literature concerning irritability in Huntington's disease to determine whether or not irritability is a valid and meaningful construct within this population. METHOD A scoping literature review was conducted based on findings from a search of five databases (Academic Search Ultimate, PsycINFO, CINAHL, Scopus and Web of Science) in November 2018. From an initial return of 453 papers, 40 were found suitable for review. RESULTS Review of the 40 studies highlighted several aspects of irritability in people with HD which influence its validity as an independent construct in context of the disease. While various measures are used to assess irritability, a gold standard has yet to be identified and consequently irritability is assessed inconsistently across the literature. In addition, the results suggest that irritability may not reflect pathological disease processes in HD, but rather comprises a multidimensional construct which appears to be strongly associated with other psychological difficulties such as depression and anxiety. CONCLUSIONS The current concept of irritability in people with HD continues to lack a general consensus in the clinical literature, in terms of both operationalisation and assessment. Consequently, further research is warranted in order to determine the extent to which irritability is a valid construct within the context of HD, including its associated behavioural, cognitive and affective dimensions.
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Affiliation(s)
- Jane Simpson
- Division of Health Research, Lancaster University, Lancaster, UK.
| | - Maria Dale
- Adult Mental Health Psychology, Leicestershire Partnership NHS Trust, Leicester, UK
| | - Rachael Theed
- Division of Health Research, Lancaster University, Lancaster, UK
| | - Sarah Gunn
- Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, UK
| | - Nicolò Zarotti
- Division of Health Research, Lancaster University, Lancaster, UK
| | - Fiona J R Eccles
- Division of Health Research, Lancaster University, Lancaster, UK
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244
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Gregory S, Odish OFF, Mayer I, Mills J, Johnson EB, Scahill RI, Rothwell J, Rees G, Long JD, Tabrizi SJ, Roos RAC, Orth M. Multimodal characterization of the visual network in Huntington's disease gene carriers. Clin Neurophysiol 2019; 130:2053-2059. [PMID: 31541982 DOI: 10.1016/j.clinph.2019.08.018] [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: 06/11/2019] [Revised: 07/25/2019] [Accepted: 08/12/2019] [Indexed: 11/24/2022]
Abstract
OBJECTIVE A sensorimotor network structural phenotype predicted motor task performance in a previous study in Huntington's disease (HD) gene carriers. We investigated in the visual network whether structure - function - behaviour relationship patterns, and the effects of the HD mutation, extended beyond the sensorimotor network. METHODS We used multimodal visual network MRI structural measures (cortical thickness and white matter connectivity), plus visual evoked potentials and task performance (Map Search; Symbol Digit Modalities Test) in healthy controls and HD gene carriers. RESULTS Using principal component (PC) analysis, we identified a structure - function relationship common to both groups. PC scores differed between groups indicating white matter disorganization (higher RD, lower FA) and slower, and more disperse, VEP signal transmission (higher VEP P100 latency and lower VEP P100 amplitude) in HD than controls while task performance was similar. CONCLUSIONS HD may be associated with reduced white matter organization and efficient visual network function but normal task performance. SIGNIFICANCE These findings indicate that structure - function relationships in the visual network, and the effects of the HD mutation, share some commonalities with those in the sensorimotor network. However, implications for task performance differ between the two networks suggesting the influence of network specific factors.
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Affiliation(s)
- Sarah Gregory
- Huntington's Disease Centre, UCL Institute of Neurology, London, UK
| | - Omar F F Odish
- Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
| | - Isabella Mayer
- Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - James Mills
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | | | | | - John Rothwell
- Sobell Department of Motor Neuroscience and Movement Disorders, University College London Institute of Neurology, Queen Square, London, UK
| | - Geraint Rees
- Wellcome Trust Centre for Neuroimaging, University College London, London, UK
| | - Jeffrey D Long
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA; Department of Biostatistics, University of Iowa, Iowa City, IA, USA
| | - Sarah J Tabrizi
- Huntington's Disease Centre, UCL Institute of Neurology, London, UK
| | - Raymund A C Roos
- Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Michael Orth
- Department of Neurology, Ulm University Hospital, Ulm, Germany.
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245
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Langbehn DR, Stout JC, Gregory S, Mills JA, Durr A, Leavitt BR, Roos RAC, Long JD, Owen G, Johnson HJ, Borowsky B, Craufurd D, Reilmann R, Landwehrmeyer GB, Scahill RI, Tabrizi SJ. Association of CAG Repeats With Long-term Progression in Huntington Disease. JAMA Neurol 2019; 76:1375-1385. [PMID: 31403680 PMCID: PMC6692683 DOI: 10.1001/jamaneurol.2019.2368] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 05/02/2019] [Indexed: 11/14/2022]
Abstract
IMPORTANCE In Huntington disease (HD), mutation severity is defined by the length of the CAG trinucleotide sequence, a well-known predictor of clinical onset age. The association with disease trajectory is less well characterized. Quantifiable summary measures of trajectory applicable over decades of early disease progression are lacking. An accurate model of the age-CAG association with early progression is critical to clinical trial design, informing both sample size and intervention timing. OBJECTIVE To succinctly capture the decades-long early progression of HD and its dependence on CAG repeat length. DESIGN, SETTING, AND PARTICIPANTS Prospective study at 4 academic HD treatment and research centers. Participants were the combined sample from the TRACK-HD and Track-On HD studies consisting of 290 gene carriers (presymptomatic to stage II), recruited from research registries at participating centers, and 153 nonbiologically related controls, generally spouses or friends. Recruitment was targeted to match a balanced, prespecified spectrum of age, CAG repeat length, and diagnostic status. In the TRACK-HD and Track-On HD studies, 13 and 5 potential participants, respectively, failed study screening. Follow-up ranged from 0 to 6 years. The study dates were January 2008 to November 2014. These analyses were performed between December 2015 and January 2019. MAIN OUTCOMES AND MEASURES The outcome measures were principal component summary scores of motor-cognitive function and of brain volumes. The main outcome was the association of these scores with age and CAG repeat length. RESULTS We analyzed 2065 visits from 443 participants (247 female [55.8%]; mean [SD] age, 44.4 [10.3] years). Motor-cognitive measures were highly correlated and had similar CAG repeat length-dependent associations with age. A composite summary score accounted for 67.6% of their combined variance. This score was well approximated by a score combining 3 items (total motor score, Symbol Digit Modalities Test, and Stroop word reading) from the Unified Huntington's Disease Rating Scale. For either score, initial progression age and then acceleration rate were highly CAG repeat length dependent. The acceleration continues through at least stage II disease. In contrast, 3 distinct patterns emerged among brain measures (basal ganglia, gray matter, and a combination of whole-brain, ventricular, and white matter volumes). The basal ganglia pattern showed considerable change in even the youngest participants but demonstrated minimal acceleration of loss with aging. Each clinical and brain summary score was strongly associated with the onset and rate of decline in total functional capacity. CONCLUSIONS AND RELEVANCE Results of this study suggest that succinct summary measures of function and brain loss characterize HD progression across a wide disease span. CAG repeat length strongly predicts their decline rate. This work aids our understanding of the age and CAG repeat length-dependent association between changes in the brain and clinical manifestations of HD.
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Affiliation(s)
| | - Julie C. Stout
- School of Psychology and Psychiatry, Monash University, Melbourne, Victoria, Australia
| | - Sarah Gregory
- Huntington’s Disease Centre, UCL Institute of Neurology, University College London, Queen Square, London, United Kingdom
| | | | - Alexandra Durr
- Institut du Cerveau et de la Moelle Epinière (ICM), Genetic Department, Assistance Publique–Hôpitaux de Paris, Sorbonne Université, Institut National de la Santé et de la Recherche Médicale Unité 1127, Le Centre National de la Recherche Scientifique, Unités Mixtes de Recherche 7225, Pitié-Salpêtrière University Hospital, Paris, France
| | - Blair R. Leavitt
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Raymund A. C. Roos
- Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Gail Owen
- Huntington’s Disease Centre, UCL Institute of Neurology, University College London, Queen Square, London, United Kingdom
| | - Hans J. Johnson
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City
| | | | - David Craufurd
- Manchester Academic Health Sciences Centre, Central Manchester University Hospitals National Health Service Foundation Trust, University of Manchester, Manchester, United Kingdom
| | - Ralf Reilmann
- George-Huntington-Institute, Department of Radiology, University of Münster, Münster, Germany
- Hertie-Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany
| | | | - Rachael I. Scahill
- Huntington’s Disease Centre, UCL Institute of Neurology, University College London, Queen Square, London, United Kingdom
| | - Sarah J. Tabrizi
- Huntington’s Disease Centre, UCL Institute of Neurology, University College London, Queen Square, London, United Kingdom
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246
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Silajdžić E, Björkqvist M. A Critical Evaluation of Wet Biomarkers for Huntington's Disease: Current Status and Ways Forward. J Huntingtons Dis 2019; 7:109-135. [PMID: 29614689 PMCID: PMC6004896 DOI: 10.3233/jhd-170273] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
There is an unmet clinical need for objective biomarkers to monitor disease progression and treatment response in Huntington's disease (HD). The aim of this review is, therefore, to provide practical advice for biomarker discovery and to summarise studies on biofluid markers for HD. A PubMed search was performed to review literature with regard to candidate saliva, urine, blood and cerebrospinal fluid biomarkers for HD. Information has been organised into tables to allow a pragmatic approach to the discussion of the evidence and generation of practical recommendations for future studies. Many of the markers published converge on metabolic and inflammatory pathways, although changes in other analytes representing antioxidant and growth factor pathways have also been found. The most promising markers reflect neuronal and glial degeneration, particularly neurofilament light chain. International collaboration to standardise assays and study protocols, as well as to recruit sufficiently large cohorts, will facilitate future biomarker discovery and development.
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Affiliation(s)
- Edina Silajdžić
- Division of Cell Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Maria Björkqvist
- Department of Experimental Medical Science, Brain Disease Biomarker Unit, Wallenberg Neuroscience Center, Lund University, Lund, Sweden
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247
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Byrne LM, Rodrigues FB, Johnson EB, Wijeratne PA, De Vita E, Alexander DC, Palermo G, Czech C, Schobel S, Scahill RI, Heslegrave A, Zetterberg H, Wild EJ. Evaluation of mutant huntingtin and neurofilament proteins as potential markers in Huntington's disease. Sci Transl Med 2019; 10:10/458/eaat7108. [PMID: 30209243 DOI: 10.1126/scitranslmed.aat7108] [Citation(s) in RCA: 121] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 08/23/2018] [Indexed: 11/02/2022]
Abstract
Huntington's disease (HD) is a genetic progressive neurodegenerative disorder, caused by a mutation in the HTT gene, for which there is currently no cure. The identification of sensitive indicators of disease progression and therapeutic outcome could help the development of effective strategies for treating HD. We assessed mutant huntingtin (mHTT) and neurofilament light (NfL) protein concentrations in cerebrospinal fluid (CSF) and blood in parallel with clinical evaluation and magnetic resonance imaging in premanifest and manifest HD mutation carriers. Among HD mutation carriers, NfL concentrations in plasma and CSF correlated with all nonbiofluid measures more closely than did CSF mHTT concentration. Longitudinal analysis over 4 to 8 weeks showed that CSF mHTT, CSF NfL, and plasma NfL concentrations were highly stable within individuals. In our cohort, concentration of CSF mHTT accurately distinguished between controls and HD mutation carriers, whereas NfL concentration, in both CSF and plasma, was able to segregate premanifest from manifest HD. In silico modeling indicated that mHTT and NfL concentrations in biofluids might be among the earliest detectable alterations in HD, and sample size prediction suggested that low participant numbers would be needed to incorporate these measures into clinical trials. These findings provide evidence that biofluid concentrations of mHTT and NfL have potential for early and sensitive detection of alterations in HD and could be integrated into both clinical trials and the clinic.
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Affiliation(s)
- Lauren M Byrne
- Huntington's Disease Centre, University College London (UCL) Institute of Neurology, London WC1N 3BG, UK.
| | - Filipe B Rodrigues
- Huntington's Disease Centre, University College London (UCL) Institute of Neurology, London WC1N 3BG, UK
| | - Eileanor B Johnson
- Huntington's Disease Centre, University College London (UCL) Institute of Neurology, London WC1N 3BG, UK
| | - Peter A Wijeratne
- Centre for Medical Image Computing, Department of Computer Science, UCL, London WC1E 6EA, UK
| | - Enrico De Vita
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London WC1N 3BG, UK.,Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London SE1 7EH, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, UCL, London WC1E 6EA, UK.,Clinical Imaging Research Centre, National University of Singapore, Singapore 117599, Singapore
| | - Giuseppe Palermo
- Neuroscience, Ophthalmology, and Rare Diseases, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffman-La Roche Ltd., 4070 Basel, Switzerland
| | - Christian Czech
- Neuroscience, Ophthalmology, and Rare Diseases, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffman-La Roche Ltd., 4070 Basel, Switzerland
| | - Scott Schobel
- Neuroscience, Ophthalmology, and Rare Diseases, Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffman-La Roche Ltd., 4070 Basel, Switzerland
| | - Rachael I Scahill
- Huntington's Disease Centre, University College London (UCL) Institute of Neurology, London WC1N 3BG, UK
| | - Amanda Heslegrave
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Henrik Zetterberg
- Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK.,UK Dementia Research Institute at UCL, London WC1E 6BT, UK.,Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, 405 30 Gothenburg, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 413 45 Gothenburg, Sweden
| | - Edward J Wild
- Huntington's Disease Centre, University College London (UCL) Institute of Neurology, London WC1N 3BG, UK.
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248
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Kovalenko M, Milnerwood A, Giordano J, St Claire J, Guide JR, Stromberg M, Gillis T, Sapp E, DiFiglia M, MacDonald ME, Carroll JB, Lee JM, Tappan S, Raymond L, Wheeler VC. HttQ111/+ Huntington's Disease Knock-in Mice Exhibit Brain Region-Specific Morphological Changes and Synaptic Dysfunction. J Huntingtons Dis 2019; 7:17-33. [PMID: 29480209 PMCID: PMC5869998 DOI: 10.3233/jhd-170282] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Background: Successful disease-modifying therapy for Huntington’s disease (HD) will require therapeutic intervention early in the pathogenic process. Achieving this goal requires identifying phenotypes that are proximal to the HTT CAG repeat expansion. Objective: To use Htt CAG knock-in mice, precise genetic replicas of the HTT mutation in patients, as models to study proximal disease events. Methods: Using cohorts of B6J.HttQ111/+ mice from 2 to 18 months of age, we analyzed pathological markers, including immunohistochemistry, brain regional volumes and cortical thickness, CAG instability, electron microscopy of striatal synapses, and acute slice electrophysiology to record glutamatergic transmission at striatal synapses. We also incorporated a diet perturbation paradigm for some of these analyses. Results: B6J.HttQ111/+ mice did not exhibit significant neurodegeneration or gliosis but revealed decreased striatal DARPP-32 as well as subtle but regional-specific changes in brain volumes and cortical thickness that parallel those in HD patients. Ultrastructural analyses of the striatum showed reduced synapse density, increased postsynaptic density thickness and increased synaptic cleft width. Acute slice electrophysiology showed alterations in spontaneous AMPA receptor-mediated postsynaptic currents, evoked NMDA receptor-mediated excitatory postsynaptic currents, and elevated extrasynaptic NMDA currents. Diet influenced cortical thickness, but did not impact somatic CAG expansion, nor did it show any significant interaction with genotype on immunohistochemical, brain volume or cortical thickness measures. Conclusions: These data show that a single HttQ111 allele is sufficient to elicit brain region-specific morphological changes and early neuronal dysfunction, highlighting an insidious disease process already apparent in the first few months of life.
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Affiliation(s)
- Marina Kovalenko
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Austen Milnerwood
- Department of Neurology & Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada
| | - James Giordano
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jason St Claire
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jolene R Guide
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Mary Stromberg
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Tammy Gillis
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ellen Sapp
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Marian DiFiglia
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Marcy E MacDonald
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeffrey B Carroll
- Department of Psychology, Behavioral Neuroscience Program, Western Washington University, Bellingham, WA, USA
| | - Jong-Min Lee
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Lynn Raymond
- Department of Psychiatry, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
| | - Vanessa C Wheeler
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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249
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Gazzina S, Grassi M, Premi E, Cosseddu M, Alberici A, Archetti S, Gasparotti R, Van Swieten J, Galimberti D, Sanchez-Valle R, Laforce RJ, Moreno F, Synofzik M, Graff C, Masellis M, Tartaglia MC, Rowe JB, Vandenberghe R, Finger E, Tagliavini F, de Mendonça A, Santana I, Butler CR, Ducharme S, Gerhard A, Danek A, Levin J, Otto M, Frisoni G, Sorbi S, Padovani A, Rohrer JD, Borroni B. Education modulates brain maintenance in presymptomatic frontotemporal dementia. J Neurol Neurosurg Psychiatry 2019; 90:1124-1130. [PMID: 31182509 DOI: 10.1136/jnnp-2019-320439] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 04/30/2019] [Accepted: 05/01/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Cognitively engaging lifestyles have been associated with reduced risk of conversion to dementia. Multiple mechanisms have been advocated, including increased brain volumes (ie, brain reserve) and reduced disease progression (ie, brain maintenance). In cross-sectional studies of presymptomatic frontotemporal dementia (FTD), higher education has been related to increased grey matter volume. Here, we examine the effect of education on grey matter loss over time. METHODS Two-hundred twenty-nine subjects at-risk of carrying a pathogenic mutation leading to FTD underwent longitudinal cognitive assessment and T1-weighted MRI at baseline and at 1 year follow-up. The first principal component score of the graph-Laplacian Principal Component Analysis on 112 grey matter region-of-interest volumes was used to summarise the grey matter volume (GMV). The effects of education on cognitive performances and GMV at baseline and on the change between 1 year follow-up and baseline (slope) were tested by Structural Equation Modelling. RESULTS Highly educated at-risk subjects had better cognition and higher grey matter volume at baseline; moreover, higher educational attainment was associated with slower loss of grey matter over time in mutation carriers. CONCLUSIONS This longitudinal study demonstrates that even in presence of ongoing pathological processes, education may facilitate both brain reserve and brain maintenance in the presymptomatic phase of genetic FTD.
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Affiliation(s)
- Stefano Gazzina
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Mario Grassi
- Department of Brain and Behavioral Science, Medical and Genomic Statistics Unit, University of Pavia, Pavia, Italy
| | - Enrico Premi
- Stroke Unit, Neurology Unit, Spedali Civili Hospital, Brescia, Italy
| | | | - Antonella Alberici
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Silvana Archetti
- Biotechnology Laboratory, Department of Diagnostics, Spedali Civili Hospital, Brescia, Italy
| | | | - John Van Swieten
- Department of Neurology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Daniela Galimberti
- Centro Dino Ferrari, University of Milan, Milan, Italy.,Neurodegenerative Diseases Unit, Fondazione IRCSS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Raquel Sanchez-Valle
- Neurology Department, Hospital Clinic, Institut d'Investigacions Biomèdiques, Barcelona, Spain
| | - Robert Jr Laforce
- Clinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, Québec, Quebec, Canada
| | - Fermin Moreno
- Department of Neurology, Hospital Universitario Donostia, San Sebastian, Gipuzkoa, Spain
| | - Matthis Synofzik
- Department of Neurodegenerative Diseases, Hertie-Institute for Clinical Brain Research & Center of Neurology, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Caroline Graff
- Karolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogenetics, Stockholm, Sweden
| | - Mario Masellis
- LC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Maria Carmela Tartaglia
- Toronto Western Hospital, Tanz Centre for Research in Neurodegenerative Disease, Toronto, Ontario, Canada
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Rik Vandenberghe
- Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, Leuven, Belgium
| | - Elizabeth Finger
- Department of Clinical Neurological Sciences, University of Western Ontario, London, Ontario, Canada
| | - Fabrizio Tagliavini
- Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Istituto Neurologico Carlo Besta, Milan, Italy
| | | | - Isabel Santana
- Neurology Department, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
| | | | - Simon Ducharme
- Department of Psychiatry, McGill University Health Centre, McGill University, Montreal, Quebec, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada
| | - Alex Gerhard
- Institute of Brain, Behaviour and Mental Health, The University of Manchester, Withington, Manchester, United Kingdom
| | - Adrian Danek
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, Munich, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Johannes Levin
- Neurologische Klinik und Poliklinik, Ludwig-Maximilians-Universität, Munich, German Center for Neurodegenerative Diseases (DZNE), Munich, Germany
| | - Markus Otto
- Department of Neurology, University Hospital Ulm, Ulm, Germany
| | - Giovanni Frisoni
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.,Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland
| | - Sandro Sorbi
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.,Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) "Don Gnocchi", Florence, Italy
| | - Alessandro Padovani
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Jonathan D Rohrer
- Dementia Research Centre, UCL Institute of Neurology, London, United Kingdom
| | - Barbara Borroni
- Centre for Neurodegenerative Disorders, Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
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Wilkes FA, Abaryan Z, Ching CRK, Gutman BA, Madsen SK, Walterfang M, Velakoulis D, Stout JC, Chua P, Egan GF, Thompson PM, Looi JCL, Georgiou-Karistianis N. Striatal morphology and neurocognitive dysfunction in Huntington disease: The IMAGE-HD study. Psychiatry Res Neuroimaging 2019; 291:1-8. [PMID: 31330407 DOI: 10.1016/j.pscychresns.2019.07.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 07/09/2019] [Accepted: 07/12/2019] [Indexed: 12/29/2022]
Abstract
We aimed to investigate the relationship between striatal morphology in Huntington disease (HD) and measures of motor and cognitive dysfunction. MRI scans, from the IMAGE-HD study, were obtained from 36 individuals with pre-symptomatic HD (pre-HD), 37 with early symptomatic HD (symp-HD), and 36 healthy matched controls. The neostriatum was manually segmented and a surface-based parametric mapping protocol derived two pointwise shape measures: thickness and surface dilation ratio. Significant shape differences were detected between all groups. Negative associations were detected between lower thickness and surface area shape measure and CAG repeats, disease burden score, and UHDRS total motor score. In symp-HD, UPSIT scores were correlated with higher thickness in left caudate tail and surface dilation ratio in left posterior putamen; Stroop scores were positively correlated with the thickness of left putamen head and body. Self-paced tapping (slow) was correlated with higher thickness and surface dilation ratio in the right caudate in symp-HD and with bilateral putamen in pre-HD. Self-paced tapping (fast) was correlated with higher surface dilation ratio in the right anterior putamen in symp-HD. Shape changes correlated with functional measures subserved by corticostriatal circuits, suggesting that the neostriatum is a potentially useful structural basis for characterisation of endophenotypes of HD.
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Affiliation(s)
- Fiona A Wilkes
- Academic Unit of Psychiatry and Addiction Medicine, the Australian National University Medical School, Canberra Hospital, Yamba Drive, Garran, ACT 2605, Australia.
| | - Zvart Abaryan
- Imaging Genetics Center, Department of Neurology, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, 4676 Admiralty Way, Ste. 200, Health Sciences Campus, Marina del Rey, CA, USA
| | - Chris R K Ching
- Imaging Genetics Center, Department of Neurology, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, 4676 Admiralty Way, Ste. 200, Health Sciences Campus, Marina del Rey, CA, USA
| | - Boris A Gutman
- Imaging Genetics Center, Department of Neurology, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, 4676 Admiralty Way, Ste. 200, Health Sciences Campus, Marina del Rey, CA, USA; Department of Biomedical Engineering, Illinois Institute of Technology, 3255 South Dearborn St., Wishnick Hall, Suite 314, Chicago, IL 60616, USA
| | - Sarah K Madsen
- Imaging Genetics Center, Department of Neurology, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, 4676 Admiralty Way, Ste. 200, Health Sciences Campus, Marina del Rey, CA, USA
| | - Mark Walterfang
- Melbourne Neuropsychiatry Centre, Royal Melbourne Hospital and University of Melbourne, Level 3 Alan Gilbert Building, 161 Barry St., Calton, VIC 3053, Australia; Neuropsychiatry Unit, Level 2, John Cade Building, Royal Melbourne Hospital, VIC 3050, Australia; Florey Institute of Neuroscience and Mental Health, 30 Royal Parade, Parkville, VIC 3052, Australia
| | - Dennis Velakoulis
- Melbourne Neuropsychiatry Centre, Royal Melbourne Hospital and University of Melbourne, Level 3 Alan Gilbert Building, 161 Barry St., Calton, VIC 3053, Australia; Neuropsychiatry Unit, Level 2, John Cade Building, Royal Melbourne Hospital, VIC 3050, Australia
| | - Julie C Stout
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, 18 Innovation Walk, Clayton Campus, Wellington Road, Monash University, VIC 3800, Australia
| | - Phyllis Chua
- Department of Psychiatry, School of Clinical Sciences, Monash University, Monash Medical Centre, Block P, Level 3 246 Clayton Road, Clayton, VIC 3168, Australia
| | - Gary F Egan
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, 18 Innovation Walk, Clayton Campus, Wellington Road, Monash University, VIC 3800, Australia; Monash Biomedical Imaging, 770 Blackburn Road, Building 220, Monash University, Clayton, VIC 3800, Australia
| | - Paul M Thompson
- Imaging Genetics Center, Department of Neurology, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, 4676 Admiralty Way, Ste. 200, Health Sciences Campus, Marina del Rey, CA, USA; Departments of Neurology, Psychiatry, Radiology, Engineering, Pediatrics and Ophthalmology, University of Southern California, CA, USA
| | - Jeffrey C L Looi
- Academic Unit of Psychiatry and Addiction Medicine, the Australian National University Medical School, Canberra Hospital, Yamba Drive, Garran, ACT 2605, Australia; Melbourne Neuropsychiatry Centre, Royal Melbourne Hospital and University of Melbourne, Level 3 Alan Gilbert Building, 161 Barry St., Calton, VIC 3053, Australia
| | - Nellie Georgiou-Karistianis
- School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences, 18 Innovation Walk, Clayton Campus, Wellington Road, Monash University, VIC 3800, Australia
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