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Wilton DK, Mastro K, Heller MD, Gergits FW, Willing CR, Fahey JB, Frouin A, Daggett A, Gu X, Kim YA, Faull RLM, Jayadev S, Yednock T, Yang XW, Stevens B. Microglia and complement mediate early corticostriatal synapse loss and cognitive dysfunction in Huntington's disease. Nat Med 2023; 29:2866-2884. [PMID: 37814059 PMCID: PMC10667107 DOI: 10.1038/s41591-023-02566-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 08/24/2023] [Indexed: 10/11/2023]
Abstract
Huntington's disease (HD) is a devastating monogenic neurodegenerative disease characterized by early, selective pathology in the basal ganglia despite the ubiquitous expression of mutant huntingtin. The molecular mechanisms underlying this region-specific neuronal degeneration and how these relate to the development of early cognitive phenotypes are poorly understood. Here we show that there is selective loss of synaptic connections between the cortex and striatum in postmortem tissue from patients with HD that is associated with the increased activation and localization of complement proteins, innate immune molecules, to these synaptic elements. We also found that levels of these secreted innate immune molecules are elevated in the cerebrospinal fluid of premanifest HD patients and correlate with established measures of disease burden.In preclinical genetic models of HD, we show that complement proteins mediate the selective elimination of corticostriatal synapses at an early stage in disease pathogenesis, marking them for removal by microglia, the brain's resident macrophage population. This process requires mutant huntingtin to be expressed in both cortical and striatal neurons. Inhibition of this complement-dependent elimination mechanism through administration of a therapeutically relevant C1q function-blocking antibody or genetic ablation of a complement receptor on microglia prevented synapse loss, increased excitatory input to the striatum and rescued the early development of visual discrimination learning and cognitive flexibility deficits in these models. Together, our findings implicate microglia and the complement cascade in the selective, early degeneration of corticostriatal synapses and the development of cognitive deficits in presymptomatic HD; they also provide new preclinical data to support complement as a therapeutic target for early intervention.
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Affiliation(s)
- Daniel K Wilton
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US.
| | - Kevin Mastro
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Molly D Heller
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Frederick W Gergits
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Carly Rose Willing
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Jaclyn B Fahey
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Arnaud Frouin
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Anthony Daggett
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | - Xiaofeng Gu
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | - Yejin A Kim
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US
| | - Richard L M Faull
- Department of Anatomy with Radiology, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, USA
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ted Yednock
- Annexon Biosciences, South San Francisco, CA, USA
| | - X William Yang
- Center for Neurobehavioral Genetics, Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA, USA
| | - Beth Stevens
- F. M. Kirby Neurobiology Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, US.
- Stanley Center, Broad Institute, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
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2
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Shing K, Sapp E, Boudi A, Liu S, Seeley C, Marchionini D, DiFiglia M, Kegel-Gleason KB. Early whole-body mutant huntingtin lowering averts changes in proteins and lipids important for synapse function and white matter maintenance in the LacQ140 mouse model. Neurobiol Dis 2023; 187:106313. [PMID: 37777020 PMCID: PMC10731584 DOI: 10.1016/j.nbd.2023.106313] [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: 08/22/2023] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 10/02/2023] Open
Abstract
Expansion of a triplet repeat tract in exon 1 of the HTT gene causes Huntington's disease (HD). The mutant HTT protein (mHTT) has numerous aberrant interactions with diverse, pleiomorphic effects. Lowering mHTT is a promising approach to treat HD, but it is unclear when lowering should be initiated, how much is necessary, and what duration should occur to achieve benefits. Furthermore, the effects of mHTT lowering on brain lipids have not been assessed. Using a mHtt-inducible mouse model, we analyzed mHtt lowering initiated at different ages and sustained for different time-periods. mHTT protein in cytoplasmic and synaptic compartments of the striatum was reduced 38-52%; however, there was minimal lowering of mHTT in nuclear and perinuclear regions where aggregates formed at 12 months of age. Total striatal lipids were reduced in 9-month-old LacQ140 mice and preserved by mHtt lowering. Subclasses important for white matter structure and function including ceramide (Cer), sphingomyelin (SM), and monogalactosyldiacylglycerol (MGDG), contributed to the reduction in total lipids. Phosphatidylinositol (PI), phosphatidylserine (PS), and bismethyl phosphatidic acid (BisMePA) were also changed in LacQ140 mice. Levels of all subclasses except ceramide were preserved by mHtt lowering. mRNA expression profiling indicated that a transcriptional mechanism contributes to changes in myelin lipids, and some but not all changes can be prevented by mHtt lowering. Our findings suggest that early and sustained reduction in mHtt can prevent changes in levels of select striatal proteins and most lipids, but a misfolded, degradation-resistant form of mHTT hampers some benefits in the long term.
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Affiliation(s)
- Kai Shing
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Ellen Sapp
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Adel Boudi
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Sophia Liu
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Connor Seeley
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | | | - Marian DiFiglia
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129, USA
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3
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Shing K, Sapp E, Boudi A, Liu S, Seeley C, Marchionini D, DiFiglia M, Kegel-Gleason KB. Early whole-body mutant huntingtin lowering averts changes in proteins and lipids important for synapse function and white matter maintenance in the LacQ140 mouse model. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.26.525697. [PMID: 36747614 PMCID: PMC9900921 DOI: 10.1101/2023.01.26.525697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Expansion of a triplet repeat tract in exon1 of the HTT gene causes Huntington's disease (HD). The mutant HTT protein (mHTT) has numerous aberrant interactions with diverse, pleiomorphic effects. No disease modifying treatments exist but lowering mutant huntingtin (mHTT) by gene therapy is a promising approach to treat Huntington's disease (HD). It is not clear when lowering should be initiated, how much lowering is necessary and for what duration lowering should occur to achieve benefits. Furthermore, the effects of mHTT lowering on brain lipids have not been assessed. Using a mHtt-inducible mouse model we analyzed whole body mHtt lowering initiated at different ages and sustained for different time-periods. Subcellular fractionation (density gradient ultracentrifugation), protein chemistry (gel filtration, western blot, and capillary electrophoresis immunoassay), liquid chromatography and mass spectrometry of lipids, and bioinformatic approaches were used to test effects of mHTT transcriptional lowering. mHTT protein in cytoplasmic and synaptic compartments of the caudate putamen, which is most affected in HD, was reduced 38-52%. Little or no lowering of mHTT occurred in nuclear and perinuclear regions where aggregates formed at 12 months of age. mHtt transcript repression partially or fully preserved select striatal proteins (SCN4B, PDE10A). Total lipids in striatum were reduced in LacQ140 mice at 9 months and preserved by early partial mHtt lowering. The reduction in total lipids was due in part to reductions in subclasses of ceramide (Cer), sphingomyelin (SM), and monogalactosyldiacylglycerol (MGDG), which are known to be important for white matter structure and function. Lipid subclasses phosphatidylinositol (PI), phosphatidylserine (PS), and bismethyl phosphatidic acid (BisMePA) were also changed in LacQ140 mice. Levels of all subclasses other than ceramide were preserved by early mHtt lowering. Pathway enrichment analysis of RNAseq data imply a transcriptional mechanism is responsible in part for changes in myelin lipids, and some but not all changes can be rescued by mHTT lowering. Our findings suggest that early and sustained reduction in mHtt can prevent changes in levels of select striatal proteins and most lipids but a misfolded, degradation-resistant form of mHTT hampers some benefits in the long term.
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Affiliation(s)
- Kai Shing
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129
| | - Ellen Sapp
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129
| | - Adel Boudi
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129
| | - Sophia Liu
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129
| | - Connor Seeley
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129
| | | | - Marian DiFiglia
- Department of Neurology, Massachusetts General Hospital, Charlestown, MA 02129
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Estevez-Fraga C, Elmalem MS, Papoutsi M, Durr A, Rees EM, Hobbs NZ, Roos RAC, Landwehrmeyer B, Leavitt BR, Langbehn DR, Scahill RI, Rees G, Tabrizi SJ, Gregory S. Progressive alterations in white matter microstructure across the timecourse of Huntington's disease. Brain Behav 2023; 13:e2940. [PMID: 36917716 PMCID: PMC10097137 DOI: 10.1002/brb3.2940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 02/01/2023] [Accepted: 02/14/2023] [Indexed: 03/16/2023] Open
Abstract
BACKGROUND Whole-brain longitudinal diffusion studies are crucial to examine changes in structural connectivity in neurodegeneration. Here, we investigated the longitudinal alterations in white matter (WM) microstructure across the timecourse of Huntington's disease (HD). METHODS We examined changes in WM microstructure from premanifest to early manifest disease, using data from two cohorts with different disease burden. The TrackOn-HD study included 67 controls, 67 premanifest, and 10 early manifest HD (baseline and 24-month data); the PADDINGTON study included 33 controls and 49 early manifest HD (baseline and 15-month data). Longitudinal changes in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity, and radial diffusivity from baseline to last study visit were investigated for each cohort using tract-based spatial statistics. An optimized pipeline was employed to generate participant-specific templates to which diffusion tensor imaging maps were registered and change maps were calculated. We examined longitudinal differences between HD expansion-carriers and controls, and correlations with clinical scores, including the composite UHDRS (cUHDRS). RESULTS HD expansion-carriers from TrackOn-HD, with lower disease burden, showed a significant longitudinal decline in FA in the left superior longitudinal fasciculus and an increase in MD across subcortical WM tracts compared to controls, while in manifest HD participants from PADDINGTON, there were significant widespread longitudinal increases in diffusivity compared to controls. Baseline scores in clinical scales including the cUHDRS predicted WM microstructural change in HD expansion-carriers. CONCLUSION The present study showed significant longitudinal changes in WM microstructure across the HD timecourse. Changes were evident in larger WM areas and across more metrics as the disease advanced, suggesting a progressive alteration of WM microstructure with disease evolution.
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Affiliation(s)
- Carlos Estevez-Fraga
- Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Michael S Elmalem
- Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Marina Papoutsi
- Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Alexandra Durr
- Sorbonne Université, Paris Brain Institute (ICM), AP-HP, Inserm, CNRS, Pitié-Salpêtrière University Hospital, Paris, France
| | | | - Nicola Z Hobbs
- Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Raymund A C Roos
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | | | - Blair R Leavitt
- Centre for Huntington's Disease at UBC Hospital, Department of Medical Genetics and Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | | | - Rachael I Scahill
- Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Geraint Rees
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah J Tabrizi
- Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Sarah Gregory
- Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
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5
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Taghian T, Gallagher J, Batcho E, Pullan C, Kuchel T, Denney T, Perumal R, Moore S, Muirhead R, Herde P, Johns D, Christou C, Taylor A, Passler T, Pulaparthi S, Hall E, Chandra S, O’Neill CA, Gray-Edwards H. Brain Alterations in Aged OVT73 Sheep Model of Huntington's Disease: An MRI Based Approach. J Huntingtons Dis 2022; 11:391-406. [PMID: 36189602 PMCID: PMC9837686 DOI: 10.3233/jhd-220526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Huntington's disease (HD) is a fatal neurodegenerative autosomal dominant disorder with prevalence of 1 : 20000 that has no effective treatment to date. Translatability of candidate therapeutics could be enhanced by additional testing in large animal models because of similarities in brain anatomy, size, and immunophysiology. These features enable realistic pre-clinical studies of biodistribution, efficacy, and toxicity. OBJECTIVE AND METHODS Here we non-invasively characterized alterations in brain white matter microstructure, neurochemistry, neurological status, and mutant Huntingtin protein (mHTT) levels in cerebrospinal fluid (CSF) of aged OVT73 HD sheep. RESULTS Similar to HD patients, CSF mHTT differentiates HD from normal sheep. Our results are indicative of a decline in neurological status, and alterations in brain white matter diffusion and spectroscopy metric that are more severe in aged female HD sheep. Longitudinal analysis of aged female HD sheep suggests that the decline is detectable over the course of a year. In line with reports of HD human studies, white matter alterations in corpus callosum correlates with a decline in gait of HD sheep. Moreover, alterations in the occipital cortex white matter correlates with a decline in clinical rating score. In addition, the marker of energy metabolism in striatum of aged HD sheep, shows a correlation with decline of clinical rating score and eye coordination. CONCLUSION This data suggests that OVT73 HD sheep can serve as a pre-manifest large animal model of HD providing a platform for pre-clinical testing of HD therapeutics and non-invasive tracking of the efficacy of the therapy.
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Affiliation(s)
- Toloo Taghian
- Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, MA, USA,
Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA
| | - Jillian Gallagher
- Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, MA, USA
| | - Erin Batcho
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
| | - Caitlin Pullan
- South Australian Health and Medical Research Institute, Gillies Plains, SA, Australia
| | - Tim Kuchel
- South Australian Health and Medical Research Institute, Gillies Plains, SA, Australia
| | - Thomas Denney
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
| | - Raj Perumal
- South Australian Health and Medical Research Institute, Gillies Plains, SA, Australia
| | - Shamika Moore
- South Australian Health and Medical Research Institute, Gillies Plains, SA, Australia
| | - Robb Muirhead
- South Australian Health and Medical Research Institute, Gillies Plains, SA, Australia
| | - Paul Herde
- South Australian Health and Medical Research Institute, Gillies Plains, SA, Australia
| | - Daniel Johns
- South Australian Health and Medical Research Institute, Gillies Plains, SA, Australia
| | - Chris Christou
- South Australian Health and Medical Research Institute, Gillies Plains, SA, Australia
| | - Amanda Taylor
- Department of Clinical Sciences, Auburn University, Auburn, AL, USA
| | - Thomas Passler
- Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, USA
| | - Sanjana Pulaparthi
- Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, MA, USA
| | - Erin Hall
- Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, MA, USA
| | - Sundeep Chandra
- Sana Biotechnology, South San Francisco, CA, USA,Bio Marin Pharmaceutical Inc., San Rafael, CA, USA
| | | | - Heather Gray-Edwards
- Horae Gene Therapy Center, University of Massachusetts Medical School, Worcester, MA, USA,
Department of Radiology, University of Massachusetts Medical School, Worcester, MA, USA,Correspondence to: Heather L. Gray-Edwards, DVM, PhD, University of Massachusetts Medical School, Department of Radiology and Horae Gene Therapy Center, 368 Plantation Street, ASC6-2055, Worcester, MA 01605, USA. Tel.: +1 508 856 4051; Fax: +1 508 856 1552; E-mail:
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Longitudinal corpus callosum microstructural decline in early-stage Parkinson’s disease in association with akinetic-rigid symptom severity. NPJ Parkinsons Dis 2022; 8:108. [PMID: 36038586 PMCID: PMC9424284 DOI: 10.1038/s41531-022-00372-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 08/02/2022] [Indexed: 12/26/2022] Open
Abstract
Previous diffusion tensor imaging (DTI) studies of Parkinson’s disease (PD) show reduced microstructural integrity of the corpus callosum (CC) relative to controls, although the characteristics of such callosal degradation remain poorly understood. Here, we utilized a longitudinal approach to identify microstructural decline in the entire volume of the CC and its functional subdivisions over 2 years and related the callosal changes to motor symptoms in early-stage PD. The study sample included 61 PD subjects (N = 61, aged 45–82, 38 M & 23 F, H&Y ≤ 2) from the Parkinson’s Progressive Markers Initiative database (PPMI). Whole-brain voxel-wise results revealed significant fractional anisotropy (FA) and mean diffusivity (MD) changes in the CC, especially in the genu and splenium. Using individually drawn CC regions of interest (ROI), our analysis further revealed that almost all subdivisions of the CC show significant decline in FA to certain extents over the two-year timeframe. Additionally, FA seemed lower in the right hemisphere of the CC at both time-points, and callosal FA decline was associated with FA and MD decline in widespread cortical and subcortical areas. Notably, multiple regression analysis revealed that across-subject akinetic-rigid severity was negatively associated with callosal FA at baseline and 24 months follow-up, and the effect was strongest in the anterior portion of the CC. These results suggest that callosal microstructure alterations in the anterior CC may serve as a viable biomarker for akinetic-rigid symptomology and disease progression, even in early PD.
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Jitsuishi T, Yamaguchi A. Searching for optimal machine learning model to classify mild cognitive impairment (MCI) subtypes using multimodal MRI data. Sci Rep 2022; 12:4284. [PMID: 35277565 PMCID: PMC8917197 DOI: 10.1038/s41598-022-08231-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 03/03/2022] [Indexed: 12/13/2022] Open
Abstract
The intervention at the stage of mild cognitive impairment (MCI) is promising for preventing Alzheimer's disease (AD). This study aims to search for the optimal machine learning (ML) model to classify early and late MCI (EMCI and LMCI) subtypes using multimodal MRI data. First, the tract-based spatial statistics (TBSS) analyses showed LMCI-related white matter changes in the Corpus Callosum. The ROI-based tractography addressed the connected cortical areas by affected callosal fibers. We then prepared two feature subsets for ML by measuring resting-state functional connectivity (TBSS-RSFC method) and graph theory metrics (TBSS-Graph method) in these cortical areas, respectively. We also prepared feature subsets of diffusion parameters in the regions of LMCI-related white matter alterations detected by TBSS analyses. Using these feature subsets, we trained and tested multiple ML models for EMCI/LMCI classification with cross-validation. Our results showed the ensemble ML model (AdaBoost) with feature subset of diffusion parameters achieved better performance of mean accuracy 70%. The useful brain regions for classification were those, including frontal, parietal lobe, Corpus Callosum, cingulate regions, insula, and thalamus regions. Our findings indicated the optimal ML model using diffusion parameters might be effective to distinguish LMCI from EMCI subjects at the prodromal stage of AD.
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Affiliation(s)
- Tatsuya Jitsuishi
- Department of Functional Anatomy, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan
| | - Atsushi Yamaguchi
- Department of Functional Anatomy, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan.
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8
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Simonsson O, Bouso JC, Kurth F, Araújo DB, Gaser C, Riba J, Luders E. Preliminary evidence of links between ayahuasca use and the corpus callosum. Front Psychiatry 2022; 13:1002455. [PMID: 36386967 PMCID: PMC9643584 DOI: 10.3389/fpsyt.2022.1002455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/05/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Recent research suggests that ayahuasca and its alkaloid-containing ingredients may be helpful in the treatment and prevention of certain movement and neurodegenerative disorders. However, such research is still in its infancy and more studies in normative samples seem necessary to explore effects of ayahuasca on clinically relevant brain structures, such as the corpus callosum. AIMS The purpose of the present study was to investigate links between ayahuasca use and callosal structure in a normative sample. METHODS Using structural imaging data from 22 ayahuasca users and 22 matched controls we compared the thickness of the corpus callosum between both groups at 100 equidistant points across the entire midsagittal surface. In addition, we investigated point-wise correlations between callosal thickness and the number of past ayahuasca sessions. RESULTS The corpus callosum was significantly thicker within the isthmus in the ayahuasca group than in the control group. There was also a significant positive correlation between callosal thickness and the number of past ayahuasca sessions within the rostral body, albeit none of these effects survived corrections for multiple comparisons. No region was significantly thicker in the control than in the ayahuasca group, and no callosal region was negatively linked to ayahuasca use, even at uncorrected significance thresholds. CONCLUSION This study provides preliminary evidence of links between ayahuasca use and the corpus callosum. However, future studies need to replicate these findings, preferably using larger sample sizes and ideally also utilizing longitudinal research designs, to draw any practical conclusion and offer implications for follow-up clinical research.
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Affiliation(s)
- Otto Simonsson
- Center for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.,Department of Sociology, University of Oxford, Oxford, United Kingdom
| | - José Carlos Bouso
- ICEERS-International Center for Ethnobotanical Education, Research and Services, Barcelona, Spain.,Medical Anthropology Research Center (MARC), Universitat Rovira i Virgili, Tarragona, Spain.,Department of Neurosciences and Behavior, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil
| | - Florian Kurth
- School of Psychology, University of Auckland, Auckland, New Zealand
| | - Dráulio B Araújo
- Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil.,Onofre Lopes University Hospital, Federal University of Rio Grande do Norte, Natal, Brazil
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.,Department of Neurology, Jena University Hospital, Jena, Germany
| | - Jordi Riba
- Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain
| | - Eileen Luders
- School of Psychology, University of Auckland, Auckland, New Zealand.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden.,Laboratory of Neuro Imaging, School of Medicine, University of Southern California, Los Angeles, CA, United States
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9
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Yildirim F, Foddis M, Blumenau S, Müller S, Kajetan B, Holtgrewe M, Kola V, Beule D, Sassi C. Shared and oppositely regulated transcriptomic signatures in Huntington's disease and brain ischemia confirm known and unveil novel potential neuroprotective genes. Neurobiol Aging 2021; 104:122.e1-122.e17. [PMID: 33875290 DOI: 10.1016/j.neurobiolaging.2021.03.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 02/13/2021] [Accepted: 03/02/2021] [Indexed: 11/20/2022]
Abstract
Huntington's disease and subcortical vascular dementia display similar dementing features, shaped by different degrees of striatal atrophy, deep white matter degeneration and tau pathology. To investigate the hypothesis that Huntington's disease transcriptomic hallmarks may provide a window into potential protective genes upregulated during brain acute and subacute ischemia, we compared RNA sequencing signatures in the most affected brain areas of 2 widely used experimental mouse models: Huntington's disease, (R6/2, striatum and cortex and Q175, hippocampus) and brain ischemia-subcortical vascular dementia (BCCAS, striatum, cortex and hippocampus). We identified a cluster of 55 shared genes significantly differentially regulated in both models and we screened these in 2 different mouse models of Alzheimer's disease, and 96 early-onset familial and apparently sporadic small vessel ischemic disease patients. Our data support the prevalent role of transcriptional regulation upon genetic coding variability of known neuroprotective genes (Egr2, Fos, Ptgs2, Itga5, Cdkn1a, Gsn, Npas4, Btg2, Cebpb) and provide a list of potential additional ones likely implicated in different dementing disorders and worth further investigation.
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Affiliation(s)
- Ferah Yildirim
- Department of Neuropsychiatry, Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Marco Foddis
- Department of Experimental Neurology, Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Sonja Blumenau
- Department of Experimental Neurology, Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Susanne Müller
- Department of Experimental Neurology, Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Bentele Kajetan
- Berlin Institute of Health, BIH, Core Unit Bioinformatics, Berlin, Germany
| | - Manuel Holtgrewe
- Berlin Institute of Health, BIH, Core Unit Bioinformatics, Berlin, Germany
| | - Vasilis Kola
- Department of Experimental Neurology, Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Dieter Beule
- Berlin Institute of Health, BIH, Core Unit Bioinformatics, Berlin, Germany
| | - Celeste Sassi
- Department of Experimental Neurology, Center for Stroke Research Berlin (CSB), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
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10
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In Vivo Expression of Reprogramming Factor OCT4 Ameliorates Myelination Deficits and Induces Striatal Neuroprotection in Huntington's Disease. Genes (Basel) 2021; 12:genes12050712. [PMID: 34068799 PMCID: PMC8150572 DOI: 10.3390/genes12050712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 04/27/2021] [Accepted: 05/01/2021] [Indexed: 12/26/2022] Open
Abstract
White matter atrophy has been shown to precede the massive loss of striatal GABAergic neurons in Huntington’s disease (HD). This study investigated the effects of in vivo expression of reprogramming factor octamer-binding transcription factor 4 (OCT4) on neural stem cell (NSC) niche activation in the subventricular zone (SVZ) and induction of cell fate specific to the microenvironment of HD. R6/2 mice randomly received adeno-associated virus 9 (AAV9)-OCT4, AAV9-Null, or phosphate-buffered saline into both lateral ventricles at 4 weeks of age. The AAV9-OCT4 group displayed significantly improved behavioral performance compared to the control groups. Following AAV9-OCT4 treatment, the number of newly generated NSCs and oligodendrocyte progenitor cells (OPCs) significantly increased in the SVZ, and the expression of OPC-related genes and glial cell-derived neurotrophic factor (GDNF) significantly increased. Further, amelioration of myelination deficits in the corpus callosum was observed through electron microscopy and magnetic resonance imaging, and striatal DARPP32+ GABAergic neurons significantly increased in the AAV9-OCT4 group. These results suggest that in situ expression of the reprogramming factor OCT4 in the SVZ induces OPC proliferation, thereby attenuating myelination deficits. Particularly, GDNF released by OPCs seems to induce striatal neuroprotection in HD, which explains the behavioral improvement in R6/2 mice overexpressing OCT4.
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11
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Casella C, Kleban E, Rosser AE, Coulthard E, Rickards H, Fasano F, Metzler-Baddeley C, Jones DK. Multi-compartment analysis of the complex gradient-echo signal quantifies myelin breakdown in premanifest Huntington's disease. Neuroimage Clin 2021; 30:102658. [PMID: 33865029 PMCID: PMC8079666 DOI: 10.1016/j.nicl.2021.102658] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Revised: 03/25/2021] [Accepted: 03/30/2021] [Indexed: 12/04/2022]
Abstract
White matter (WM) alterations have been identified as a relevant pathological feature of Huntington's disease (HD). Increasing evidence suggests that WM changes in this disorder are due to alterations in myelin-associated biological processes. Multi-compartmental analysis of the complex gradient-echo MRI signal evolution in WM has been shown to quantify myelin in vivo, therefore pointing to the potential of this technique for the study of WM myelin changes in health and disease. This study first characterized the reproducibility of metrics derived from the complex multi-echo gradient-recalled echo (mGRE) signal across the corpus callosum in healthy participants, finding highest reproducibility in the posterior callosal segment. Subsequently, the same analysis pipeline was applied in this callosal region in a sample of premanifest HD patients (n = 19) and age, sex and education matched healthy controls (n = 21). In particular, we focused on two myelin-associated derivatives: i. the myelin water signal fraction (fm), a parameter dependent on myelin content; and ii. The difference in frequency between myelin and intra-axonal water pools (Δω), a parameter dependent on the ratio between the inner and the outer axonal radii. fm was found to be lower in HD patients (β = -0.13, p = 0.03), while Δω did not show a group effect. Performance in tests of working memory, executive function, social cognition and movement was also assessed, and a greater age-related decline in executive function was detected in HD patients (β = -0.06, p = 0.006), replicating previous evidence of executive dysfunction in HD. Finally, the correlation between fm, executive function, and proximity to disease onset was explored in patients, and a positive correlation between executive function and fm was detected (r = 0.542; p = 0.02). This study emphasises the potential of complex mGRE signal analysis for aiding understanding of HD pathogenesis and progression. Moreover, expanding on evidence from pathology and animal studies, it provides novel in vivo evidence supporting myelin breakdown as an early feature of HD.
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Affiliation(s)
- Chiara Casella
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF 24 4HQ, UK.
| | - Elena Kleban
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF 24 4HQ, UK
| | - Anne E Rosser
- Department of Neurology and Psychological Medicine, Hayden Ellis Building, Maindy Road, Cardiff CF24 4HQ, UK; School of Biosciences, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK
| | | | - Hugh Rickards
- Birmingham and Solihull Mental Health NHS Foundation Trust, 50 Summer Hill Road, Birmingham B1 3RB, UK; Institute of Clinical Sciences, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Fabrizio Fasano
- Siemens Healthcare Ltd, Camberly, UK; Siemens Healthcare GmbH, Erlangen, Germany
| | - Claudia Metzler-Baddeley
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF 24 4HQ, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Maindy Road, Cardiff, CF 24 4HQ, UK
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12
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Simmons DA, Mills BD, Butler Iii RR, Kuan J, McHugh TLM, Akers C, Zhou J, Syriani W, Grouban M, Zeineh M, Longo FM. Neuroimaging, Urinary, and Plasma Biomarkers of Treatment Response in Huntington's Disease: Preclinical Evidence with the p75 NTR Ligand LM11A-31. Neurotherapeutics 2021; 18:1039-1063. [PMID: 33786806 PMCID: PMC8423954 DOI: 10.1007/s13311-021-01023-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2021] [Indexed: 12/13/2022] Open
Abstract
Huntington's disease (HD) is caused by an expansion of the CAG repeat in the huntingtin gene leading to preferential neurodegeneration of the striatum. Disease-modifying treatments are not yet available to HD patients and their development would be facilitated by translatable pharmacodynamic biomarkers. Multi-modal magnetic resonance imaging (MRI) and plasma cytokines have been suggested as disease onset/progression biomarkers, but their ability to detect treatment efficacy is understudied. This study used the R6/2 mouse model of HD to assess if structural neuroimaging and biofluid assays can detect treatment response using as a prototype the small molecule p75NTR ligand LM11A-31, shown previously to reduce HD phenotypes in these mice. LM11A-31 alleviated volume reductions in multiple brain regions, including striatum, of vehicle-treated R6/2 mice relative to wild-types (WTs), as assessed with in vivo MRI. LM11A-31 also normalized changes in diffusion tensor imaging (DTI) metrics and diminished increases in certain plasma cytokine levels, including tumor necrosis factor-alpha and interleukin-6, in R6/2 mice. Finally, R6/2-vehicle mice had increased urinary levels of the p75NTR extracellular domain (ecd), a cleavage product released with pro-apoptotic ligand binding that detects the progression of other neurodegenerative diseases; LM11A-31 reduced this increase. These results are the first to show that urinary p75NTR-ecd levels are elevated in an HD mouse model and can be used to detect therapeutic effects. These data also indicate that multi-modal MRI and plasma cytokine levels may be effective pharmacodynamic biomarkers and that using combinations of these markers would be a viable and powerful option for clinical trials.
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Affiliation(s)
- Danielle A Simmons
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA.
| | - Brian D Mills
- Department of Radiology, Stanford University Medical Center, Stanford, CA, 94305, USA
| | - Robert R Butler Iii
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Jason Kuan
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Tyne L M McHugh
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Carolyn Akers
- Department of Radiology, Stanford University Medical Center, Stanford, CA, 94305, USA
| | - James Zhou
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Wassim Syriani
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
| | - Maged Grouban
- Department of Radiology, Stanford University Medical Center, Stanford, CA, 94305, USA
| | - Michael Zeineh
- Department of Radiology, Stanford University Medical Center, Stanford, CA, 94305, USA
| | - Frank M Longo
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, 94305, USA
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13
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Gatto RG, Weissmann C. Diffusion Tensor Imaging in Preclinical and Human Studies of Huntington's Disease: What Have we Learned so Far? Curr Med Imaging 2020; 15:521-542. [PMID: 32008561 DOI: 10.2174/1573405614666181115113400] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Revised: 10/23/2018] [Accepted: 10/26/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Huntington's Disease is an irreversible neurodegenerative disease characterized by the progressive deterioration of specific brain nerve cells. The current evaluation of cellular and physiological events in patients with HD relies on the development of transgenic animal models. To explore such events in vivo, diffusion tensor imaging has been developed to examine the early macro and microstructural changes in brain tissue. However, the gap in diffusion tensor imaging findings between animal models and clinical studies and the lack of microstructural confirmation by histological methods has questioned the validity of this method. OBJECTIVE This review explores white and grey matter ultrastructural changes associated to diffusion tensor imaging, as well as similarities and differences between preclinical and clinical Huntington's Disease studies. METHODS A comprehensive review of the literature using online-resources was performed (Pub- Med search). RESULTS Similar changes in fractional anisotropy as well as axial, radial and mean diffusivities were observed in white matter tracts across clinical and animal studies. However, comparative diffusion alterations in different grey matter structures were inconsistent between clinical and animal studies. CONCLUSION Diffusion tensor imaging can be related to specific structural anomalies in specific cellular populations. However, some differences between animal and clinical studies could derive from the contrasting neuroanatomy or connectivity across species. Such differences should be considered before generalizing preclinical results into the clinical practice. Moreover, current limitations of this technique to accurately represent complex multicellular events at the single micro scale are real. Future work applying complex diffusion models should be considered.
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Affiliation(s)
- Rodolfo Gabriel Gatto
- Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, 60607, United States
| | - Carina Weissmann
- Insituto de Fisiología Biologia Molecular y Neurociencias-IFIBYNE-CONICET, University of Buenos Aires, Buenos Aires, Argentina
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14
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Estevez-Fraga C, Scahill R, Rees G, Tabrizi SJ, Gregory S. Diffusion imaging in Huntington's disease: comprehensive review. J Neurol Neurosurg Psychiatry 2020; 92:jnnp-2020-324377. [PMID: 33033167 PMCID: PMC7803908 DOI: 10.1136/jnnp-2020-324377] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 09/07/2020] [Accepted: 09/07/2020] [Indexed: 12/31/2022]
Abstract
Huntington's disease (HD) is a monogenic disorder with 100% penetrance. With the advent of genetic testing in adults, disease-related, structural brain changes can be investigated from the earliest, premorbid stages of HD. While examining macrostructural change characterises global neuronal damage, investigating microstructural alterations provides information regarding brain organisation and its underlying biological properties. Diffusion MRI can be used to track the progression of microstructural anomalies in HD decades prior to clinical disease onset, providing a greater understanding of neurodegeneration. Multiple approaches, including voxelwise, region of interest and tractography, have been used in HD cohorts, showing a centrifugal pattern of white matter (WM) degeneration starting from deep brain areas, which is consistent with neuropathological studies. The corpus callosum, longer WM tracts and areas that are more densely connected, in particular the sensorimotor network, also tend to be affected early during premanifest stages. Recent evidence supports the routine inclusion of diffusion analyses within clinical trials principally as an additional measure to improve understanding of treatment effects, while the advent of novel techniques such as multitissue compartment models and connectomics can help characterise the underpinnings of progressive functional decline in HD.
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Affiliation(s)
- Carlos Estevez-Fraga
- Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Rachael Scahill
- Huntington's Disease Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Geraint Rees
- Wellcome Centre for Neuroimaging, University College London, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
| | - Sarah J Tabrizi
- 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
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15
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Beyond Alzheimer's disease: Can bilingualism be a more generalized protective factor in neurodegeneration? Neuropsychologia 2020; 147:107593. [PMID: 32882240 DOI: 10.1016/j.neuropsychologia.2020.107593] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 07/10/2020] [Accepted: 08/26/2020] [Indexed: 01/18/2023]
Abstract
Bilingualism has been argued to have an impact on cognition and brain structure. Effects have been reported across the lifespan: from healthy children to ageing adults, including clinical (ageing) populations. It has been argued that active bilingualism may significantly contribute to the delaying of the expression of Alzheimer's disease symptoms. If bilingualism plays an ameliorative role against the expression of neurodegeneration in dementia, it is possible that it could have similar effects for other neurodegenerative disorders, including Multiple Sclerosis, Parkinson's and Huntington's Diseases. To date, however, direct relevant evidence remains limited, not least because the necessary scientific motivations for investigating this with greater depth have not yet been fully articulated. Herein, we provide a roadmap that reviews the relevant literatures, highlighting potential links across neurodegenerative disorders and bilingualism more generally.
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16
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Altendahl M, Cotter DL, Staffaroni AM, Wolf A, Mumford P, Cobigo Y, Casaletto K, Elahi F, Ruoff L, Javed S, Bettcher BM, Fox E, You M, Saloner R, Neylan TC, Kramer JH, Walsh CM. REM sleep is associated with white matter integrity in cognitively healthy, older adults. PLoS One 2020; 15:e0235395. [PMID: 32645032 PMCID: PMC7347149 DOI: 10.1371/journal.pone.0235395] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 06/16/2020] [Indexed: 11/19/2022] Open
Abstract
There is increasing awareness that self-reported sleep abnormalities are negatively associated with brain structure and function in older adults. Less is known, however, about how objectively measured sleep associates with brain structure. We objectively measured at-home sleep to investigate how sleep architecture and sleep quality related to white matter microstructure in older adults. 43 cognitively normal, older adults underwent diffusion tensor imaging (DTI) and a sleep assessment within a six-month period. Participants completed the PSQI, a subjective measure of sleep quality, and used an at-home sleep recorder (Zeo, Inc.) to measure total sleep time (TST), sleep efficiency (SE), and percent time in light sleep (LS), deep sleep (DS), and REM sleep (RS). Multiple regressions predicted fractional anisotropy (FA) and mean diffusivity (MD) of the corpus callosum as a function of total PSQI score, TST, SE, and percent of time spent in each sleep stage, controlling for age and sex. Greater percent time spent in RS was significantly associated with higher FA (β = 0.41, p = 0.007) and lower MD (β = -0.30, p = 0.03). Total PSQI score, TST, SE, and time spent in LS or DS were not significantly associated with FA or MD (p>0.13). Percent time spent in REM sleep, but not quantity of light and deep sleep or subjective/objective measures of sleep quality, positively predicted white matter microstructure integrity. Our results highlight an important link between REM sleep and brain health that has the potential to improve sleep interventions in the elderly.
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Affiliation(s)
- Marie Altendahl
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Devyn L. Cotter
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Adam M. Staffaroni
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Amy Wolf
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Paige Mumford
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Yann Cobigo
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Kaitlin Casaletto
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Fanny Elahi
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Leslie Ruoff
- San Francisco VA Medical Center, Stress & Health Research Program, Department of Mental Health, San Francisco, California, United States of America
| | - Samirah Javed
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Brianne M. Bettcher
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- Rocky Mountain Alzheimer’s Disease Center, Departments of Neurosurgery and Neurology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America
| | - Emily Fox
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Michelle You
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Rowan Saloner
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
| | - Thomas C. Neylan
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- San Francisco VA Medical Center, Stress & Health Research Program, Department of Mental Health, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Joel H. Kramer
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
- Department of Psychiatry, University of California, San Francisco, California, United States of America
| | - Christine M. Walsh
- Memory & Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California, United States of America
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17
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Wilton DK, Stevens B. The contribution of glial cells to Huntington's disease pathogenesis. Neurobiol Dis 2020; 143:104963. [PMID: 32593752 DOI: 10.1016/j.nbd.2020.104963] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 05/07/2020] [Accepted: 06/10/2020] [Indexed: 12/20/2022] Open
Abstract
Glial cells play critical roles in the normal development and function of neural circuits, but in many neurodegenerative diseases, they become dysregulated and may contribute to the development of brain pathology. In Huntington's disease (HD), glial cells both lose normal functions and gain neuropathic phenotypes. In addition, cell-autonomous dysfunction elicited by mutant huntingtin (mHTT) expression in specific glial cell types is sufficient to induce both pathology and Huntington's disease-related impairments in motor and cognitive performance, suggesting that these cells may drive the development of certain aspects of Huntington's disease pathogenesis. In support of this imaging studies in pre-symptomatic HD patients and work on mouse models have suggested that glial cell dysfunction occurs at a very early stage of the disease, prior to the onset of motor and cognitive deficits. Furthermore, selectively ablating mHTT from specific glial cells or correcting for HD-induced changes in their transcriptional profile rescues some HD-related phenotypes, demonstrating the potential of targeting these cells for therapeutic intervention. Here we review emerging research focused on understanding the involvement of different glial cell types in specific aspects of HD pathogenesis. This work is providing new insight into how HD impacts biological functions of glial cells in the healthy brain as well as how HD induced dysfunction in these cells might change the way they integrate into biological circuits.
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Affiliation(s)
- Daniel K Wilton
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Beth Stevens
- Department of Neurology, F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Stanley Center, Broad Institute, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
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18
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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: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [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 Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Ilona Lipp
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Anne Rosser
- School of Biosciences, Cardiff University, Cardiff, United Kingdom
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom.,Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Claudia Metzler-Baddeley
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom
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19
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Yin P, Liu Q, Pan Y, Yang W, Yang S, Wei W, Chen X, Hong Y, Bai D, Li XJ, Li S. Phosphorylation of myelin regulatory factor by PRKG2 mediates demyelination in Huntington's disease. EMBO Rep 2020; 21:e49783. [PMID: 32270922 PMCID: PMC9336218 DOI: 10.15252/embr.201949783] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 03/10/2020] [Accepted: 03/12/2020] [Indexed: 11/09/2022] Open
Abstract
Demyelination is a common pathological feature of a large number of neurodegenerative diseases including multiple sclerosis and Huntington's disease (HD). Laquinimod (LAQ) has been found to have therapeutic effects on multiple sclerosis and HD. However, the mechanism underlying LAQ's therapeutic effects remains unknown. Using HD mice that selectively express mutant huntingtin in oligodendrocytes and show demyelination, we found that LAQ reduces the Ser259 phosphorylation on myelin regulatory factor (MYRF), an oligodendrocyte-specific transcription factor promoting the expression of myelin-associated genes. The reduced MYRF phosphorylation inhibits MYRF's binding to mutant huntingtin and increases the expression of myelin-associated genes. We also found that PRKG2, a cGMP-activated protein kinase subunit II, promotes the Ser259-MYRF phosphorylation and that knocking down PRKG2 increased myelin-associated protein's expression in HD mice. Our findings suggest that PRKG2-regulated phosphorylation of MYRF is involved in demyelination and can serve as a potential therapeutic target for reducing demyelination.
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Affiliation(s)
- Peng Yin
- Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China.,Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Qiong Liu
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yongcheng Pan
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.,Key Laboratory of Hunan Province in Neurodegenerative Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Weili Yang
- Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Su Yang
- Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Wenjie Wei
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.,Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xingxing Chen
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.,Department of Physiology and Pathophysiology, Brain and Cognition Research Institute, Medical College, Wuhan University of Science and Technology, Wuhan, China
| | - Yan Hong
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Dazhang Bai
- Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Xiao-Jiang Li
- Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Shihua Li
- Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou, China
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20
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Bertacchini F, Rizzo R, Bilotta E, Pantano P, Luca A, Mazzuca A, Lopez A. Mid-sagittal plane detection for advanced physiological measurements in brain scans. Physiol Meas 2019; 40:115009. [DOI: 10.1088/1361-6579/ab4f2e] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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21
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Pflanz CP, Charquero-Ballester M, Majid DSA, Winkler AM, Vallée E, Aron AR, Jenkinson M, Douaud G. One-year changes in brain microstructure differentiate preclinical Huntington's disease stages. NEUROIMAGE-CLINICAL 2019; 25:102099. [PMID: 31865023 PMCID: PMC6931230 DOI: 10.1016/j.nicl.2019.102099] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Revised: 10/24/2019] [Accepted: 11/18/2019] [Indexed: 11/02/2022]
Abstract
OBJECTIVE To determine whether brain imaging markers of tissue microstructure can detect the effect of disease progression across the preclinical stages of Huntington's disease. METHODS Longitudinal microstructural changes in diffusion imaging metrics (mean diffusivity and fractional anisotropy) were investigated in participants with presymptomatic Huntington's disease (N = 35) stratified into three preclinical subgroups according to their estimated time until onset of symptoms, compared with age- and gender-matched healthy controls (N = 19) over a 1y period. RESULTS Significant differences were found over the four groups in change of mean diffusivity in the posterior basal ganglia and the splenium of the corpus callosum. This overall effect was driven by significant differences between the group far-from-onset (FAR) of symptoms and the groups midway- (MID) and near-the-onset (NEAR) of symptoms. In particular, an initial decrease of mean diffusivity in the FAR group was followed by a subsequent increase in groups closer to onset of symptoms. The seemingly counter-intuitive decrease of mean diffusivity in the group furthest from onset of symptoms might be an early indicator of neuroinflammatory process preceding the neurodegenerative phase. In contrast, the only clinical measure that was able to capture a difference in 1y changes between the preclinical stages was the UHDRS confidence in motor score. CONCLUSIONS With sensitivity to longitudinal changes in brain microstructure within and between preclinical stages, and potential differential response to distinct pathophysiological mechanisms, diffusion imaging is a promising state marker for monitoring treatment response and identifying the optimal therapeutic window of opportunity in preclinical Huntington's disease.
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Affiliation(s)
- Chris Patrick Pflanz
- Oxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Marina Charquero-Ballester
- Oxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, UK; Department of Psychiatry, University of Oxford, UK
| | - D S Adnan Majid
- Department of Psychology, University of California, San Diego (UCSD), San Diego, California, USA
| | - Anderson M Winkler
- Oxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Emmanuel Vallée
- Oxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Adam R Aron
- Department of Psychology, University of California, San Diego (UCSD), San Diego, California, USA
| | - Mark Jenkinson
- Oxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Gwenaëlle Douaud
- Oxford Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
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22
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Creus-Muncunill J, Ehrlich ME. Cell-Autonomous and Non-cell-Autonomous Pathogenic Mechanisms in Huntington's Disease: Insights from In Vitro and In Vivo Models. Neurotherapeutics 2019; 16:957-978. [PMID: 31529216 PMCID: PMC6985401 DOI: 10.1007/s13311-019-00782-9] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Huntington's disease (HD) is an autosomal dominant disorder caused by an expansion in the trinucleotide CAG repeat in exon-1 in the huntingtin gene, located on chromosome 4. When the number of trinucleotide CAG exceeds 40 repeats, disease invariably is manifested, characterized by motor, cognitive, and psychiatric symptoms. The huntingtin (Htt) protein and its mutant form (mutant huntingtin, mHtt) are ubiquitously expressed but although multiple brain regions are affected, the most vulnerable brain region is the striatum. Striatal medium-sized spiny neurons (MSNs) preferentially degenerate, followed by the cortical pyramidal neurons located in layers V and VI. Proposed HD pathogenic mechanisms include, but are not restricted to, excitotoxicity, neurotrophic support deficits, collapse of the protein degradation mechanisms, mitochondrial dysfunction, transcriptional alterations, and disorders of myelin. Studies performed in cell type-specific and regionally selective HD mouse models implicate both MSN cell-autonomous properties and cell-cell interactions, particularly corticostriatal but also with non-neuronal cell types. Here, we review the intrinsic properties of MSNs that contribute to their selective vulnerability and in addition, we discuss how astrocytes, microglia, and oligodendrocytes, together with aberrant corticostriatal connectivity, contribute to HD pathophysiology. In addition, mHtt causes cell-autonomous dysfunction in cell types other than MSNs. These findings have implications in terms of therapeutic strategies aimed at preventing neuronal dysfunction and degeneration.
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Affiliation(s)
- Jordi Creus-Muncunill
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY, 10029, USA
| | - Michelle E Ehrlich
- Department of Neurology, Icahn School of Medicine at Mount Sinai, 1468 Madison Avenue, New York, NY, 10029, USA.
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23
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Johnson EB, Gregory S. Huntington's disease: Brain imaging in Huntington's disease. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 165:321-369. [PMID: 31481169 DOI: 10.1016/bs.pmbts.2019.04.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Huntington's disease (HD) gene-carriers show prominent neuronal loss by end-stage disease, and the use of magnetic resonance imaging (MRI) has been increasingly used to quantify brain changes during earlier stages of the disease. MRI offers an in vivo method of measuring structural and functional brain change. The images collected via MRI are processed to measure different anatomical features, such as brain volume, macro- and microstructural changes within white matter and functional brain activity. Structural imaging has demonstrated significant volume loss across multiple white and gray matter regions in HD, particularly within subcortical structures. There also appears to be increasing disorganization of white matter tracts and between-region connectivity with increasing disease progression. Finally, functional changes are thought to represent changes in brain activity underlying compensatory mechanisms in HD. This chapter will provide an overview of the principles of MRI and practicalities associated with using MRI in HD studies, and summarize findings from MRI studies investigating brain structure and function in HD.
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Affiliation(s)
- Eileanoir B Johnson
- Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Sarah Gregory
- Huntington's Disease Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
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24
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Early alteration of epigenetic-related transcription in Huntington's disease mouse models. Sci Rep 2018; 8:9925. [PMID: 29967375 PMCID: PMC6028428 DOI: 10.1038/s41598-018-28185-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 06/18/2018] [Indexed: 12/18/2022] Open
Abstract
Transcriptional dysregulation in Huntington’s disease (HD) affects the expression of genes involved in survival and neuronal functions throughout the progression of the pathology. In recent years, extensive research has focused on epigenetic and chromatin-modifying factors as a causative explanation for such dysregulation, offering attractive targets for pharmacological therapies. In this work, we extensively examined the gene expression profiles in the cortex, striatum, hippocampus and cerebellum of juvenile R6/1 and N171-82Q mice, models of rapidly progressive HD, to retrieve the early transcriptional signatures associated with this pathology. These profiles were largely consistent across HD datasets, contained tissular and neuronal-specific genes and showed significant correspondence with the transcriptional changes in mouse strains deficient for epigenetic regulatory genes. The most prominent cases were the conditional knockout of the lysine acetyltransferase CBP in post-mitotic forebrain neurons, the double knockout of the histone methyltransferases Ezh1 and Ezh2, components of the polycomb repressor complex 2 (PRC2), and the conditional mutants of the histone methyltransferases G9a (Ehmt2) and GLP (Ehmt1). Based on these observations, we propose that the neuronal epigenetic status is compromised in the prodromal stages of HD, leading to an altered transcriptional programme that is prominently involved in neuronal identity.
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25
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McColgan P, Gregory S, Seunarine KK, Razi A, Papoutsi M, Johnson E, Durr A, Roos RAC, Leavitt BR, Holmans P, Scahill RI, Clark CA, Rees G, Tabrizi SJ. Brain Regions Showing White Matter Loss in Huntington's Disease Are Enriched for Synaptic and Metabolic Genes. Biol Psychiatry 2018; 83:456-465. [PMID: 29174593 PMCID: PMC5803509 DOI: 10.1016/j.biopsych.2017.10.019] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 10/05/2017] [Accepted: 10/07/2017] [Indexed: 12/24/2022]
Abstract
BACKGROUND The earliest white matter changes in Huntington's disease are seen before disease onset in the premanifest stage around the striatum, within the corpus callosum, and in posterior white matter tracts. While experimental evidence suggests that these changes may be related to abnormal gene transcription, we lack an understanding of the biological processes driving this regional vulnerability. METHODS Here, we investigate the relationship between regional transcription in the healthy brain, using the Allen Institute for Brain Science transcriptome atlas, and regional white matter connectivity loss at three time points over 24 months in subjects with premanifest Huntington's disease relative to control participants. The baseline cohort included 72 premanifest Huntington's disease participants and 85 healthy control participants. RESULTS We show that loss of corticostriatal, interhemispheric, and intrahemispheric white matter connections at baseline and over 24 months in premanifest Huntington's disease is associated with gene expression profiles enriched for synaptic genes and metabolic genes. Corticostriatal gene expression profiles are predominately associated with motor, parietal, and occipital regions, while interhemispheric expression profiles are associated with frontotemporal regions. We also show that genes with known abnormal transcription in human Huntington's disease and animal models are overrepresented in synaptic gene expression profiles, but not in metabolic gene expression profiles. CONCLUSIONS These findings suggest a dual mechanism of white matter vulnerability in Huntington's disease, in which abnormal transcription of synaptic genes and metabolic disturbance not related to transcription may drive white matter loss.
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Affiliation(s)
- Peter McColgan
- Huntington's Disease Centre, Department of Neurodegenerative Disease, Queen Square, London, United Kingdom
| | - Sarah Gregory
- Huntington's Disease Centre, Department of Neurodegenerative Disease, Queen Square, London, United Kingdom
| | - Kiran K Seunarine
- Developmental Imaging and Biophysics Section, UCL Institute of Child Health, Queen Square, London, United Kingdom
| | - Adeel Razi
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, Queen Square, London, United Kingdom; Department of Electronic Engineering, NED University of Engineering and Technology, Karachi, Pakistan
| | - Marina Papoutsi
- Huntington's Disease Centre, Department of Neurodegenerative Disease, Queen Square, London, United Kingdom
| | - Eileanoir Johnson
- Huntington's Disease Centre, Department of Neurodegenerative Disease, Queen Square, London, United Kingdom
| | - Alexandra Durr
- APHP Department of Genetics, University Hospital Pitié-Salpêtrière; and ICM (Brain and Spine Institute) INSERM U1127, CNRS UMR7225, Sorbonne Universités - UPMC Paris VI UMR_S1127, Paris, France
| | - Raymund A C Roos
- Department of Neurology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Blair R Leavitt
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Peter Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Rachael I Scahill
- Huntington's Disease Centre, Department of Neurodegenerative Disease, Queen Square, London, United Kingdom
| | - Chris A Clark
- Developmental Imaging and Biophysics Section, UCL Institute of Child Health, Queen Square, London, United Kingdom
| | - Geraint Rees
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, Queen Square, London, United Kingdom
| | - Sarah J Tabrizi
- Huntington's Disease Centre, Department of Neurodegenerative Disease, Queen Square, London, United Kingdom; National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom.
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26
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Peters DG, Pollack AN, Cheng KC, Sun D, Saido T, Haaf MP, Yang QX, Connor JR, Meadowcroft MD. Dietary lipophilic iron alters amyloidogenesis and microglial morphology in Alzheimer's disease knock-in APP mice. Metallomics 2018; 10:426-443. [PMID: 29424844 DOI: 10.1039/c8mt00004b] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized pathologically by amyloid beta (Aβ) deposition, microgliosis, and iron dyshomeostasis. Increased labile iron due to homeostatic dysregulation is believed to facilitate amyloidogenesis. Free iron is incorporated into aggregating amyloid peptides during Aβ plaque formation and increases potential for oxidative stress surrounding plaques. The goal of this work was to observe how brain iron levels temporally influence Aβ plaque formation, plaque iron concentration, and microgliosis. We fed humanized APPNL-F and APPNL-G-F knock-in mice lipophilic iron compound 3,5,5-trimethylhexanoyl ferrocene (TMHF) and iron deficient diets for twelve months. TMHF elevated brain iron by 22% and iron deficiency decreased brain iron 21% relative to control diet. Increasing brain iron with TMHF accelerated plaque formation, increased Aβ staining, and increased senile morphology of amyloid plaques. Increased brain iron was associated with increased plaque-iron loading and microglial iron inclusions. TMHF decreased IBA1+ microglia branch length while increasing roundness indicative of microglial activation. This body of work suggests that increasing mouse brain iron with TMHF potentiates a more human-like Alzheimer's disease phenotype with iron integration into Aβ plaques and associated microgliosis.
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Affiliation(s)
- Douglas G Peters
- Department of Neurosurgery, The Pennsylvania State University - College of Medicine, 500 University Drive, Hershey, Pennsylvania 17033, USA and Department of Neural and Behavioral Science, The Pennsylvania State University - College of Medicine, Hershey, Pennsylvania, USA
| | - Alexis N Pollack
- Department of Neurosurgery, The Pennsylvania State University - College of Medicine, 500 University Drive, Hershey, Pennsylvania 17033, USA
| | - Keith C Cheng
- Department of Pathology (Gittlen Cancer Research Institute), The Pennsylvania State University - College of Medicine, Hershey, Pennsylvania, USA
| | - Dongxiao Sun
- Department of Pharmacology, The Pennsylvania State University - College of Medicine, Hershey, Pennsylvania, USA
| | - Takaomi Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Brain Science Institute, Wakō-shi, Saitama-ken, Japan
| | - Michael P Haaf
- Department of Chemistry, Ithaca College, Ithaca, New York, USA
| | - Qing X Yang
- Department of Radiology (Center for NMR Research), The Pennsylvania State University - College of Medicine, Hershey, Pennsylvania, USA
| | - James R Connor
- Department of Neurosurgery, The Pennsylvania State University - College of Medicine, 500 University Drive, Hershey, Pennsylvania 17033, USA
| | - Mark D Meadowcroft
- Department of Neurosurgery, The Pennsylvania State University - College of Medicine, 500 University Drive, Hershey, Pennsylvania 17033, USA and Department of Radiology (Center for NMR Research), The Pennsylvania State University - College of Medicine, Hershey, Pennsylvania, USA
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27
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Garcia‐Gorro C, de Diego‐Balaguer R, Martínez‐Horta S, Pérez‐Pérez J, Kulisevsky J, Rodríguez‐Dechicha N, Vaquer I, Subira S, Calopa M, Muñoz E, Santacruz P, Ruiz‐Idiago J, Mareca C, Caballol N, Camara E. Reduced striato-cortical and inhibitory transcallosal connectivity in the motor circuit of Huntington's disease patients. Hum Brain Mapp 2018; 39:54-71. [PMID: 28990240 PMCID: PMC6866479 DOI: 10.1002/hbm.23813] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 08/25/2017] [Accepted: 09/05/2017] [Indexed: 12/13/2022] Open
Abstract
Huntington's disease (HD) is a neurodegenerative disorder which is primarily associated with striatal degeneration. However, the alterations in connectivity of this structure in HD have been underinvestigated. In this study, we analyzed the functional and structural connectivity of the left putamen, while participants performed a finger-tapping task. Using fMRI and DW-MRI, 30 HD gene expansion carriers (HDGEC) and 29 healthy participants were scanned. Psychophysiological interaction analysis and DTI-based tractography were employed to examine functional and structural connectivity, respectively. Manifest HDGEC exhibited a reduced functional connectivity of the left putamen with the left and the right primary sensorimotor areas (SM1). Based on this result, the inhibitory functional connectivity between the left SM1 and the right SM1 was explored, appearing to be also decreased. In addition, the tract connecting these areas (motor corpus callosum), and the tract connecting the left putamen with the left SM1 appeared disrupted in HDGEC compared to controls. Significant correlations were found between measures of functional and structural connectivity of the motor corpus callosum, showing a coupling of both types of alterations in this tract. The observed reduction of functional and structural connectivity was associated with worse motor scores, which highlights the clinical relevance of these results. Hum Brain Mapp 39:54-71, 2018. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Clara Garcia‐Gorro
- Cognition and Brain Plasticity UnitIDIBELL (Institut d'Investigació Biomèdica de Bellvitge), L'Hospitalet de LlobregatBarcelonaSpain
- Department of Cognition, Development and Educational PsychologyUniversity of BarcelonaBarcelonaSpain
| | - Ruth de Diego‐Balaguer
- Cognition and Brain Plasticity UnitIDIBELL (Institut d'Investigació Biomèdica de Bellvitge), L'Hospitalet de LlobregatBarcelonaSpain
- Department of Cognition, Development and Educational PsychologyUniversity of BarcelonaBarcelonaSpain
- The Institute of Neurosciences of the University of BarcelonaBarcelonaSpain
- ICREA (Catalan Institute for Research and Advanced Studies)BarcelonaSpain
| | - Saul Martínez‐Horta
- Movement Disorders Unit, Department of NeurologyBiomedical Research Institute Sant Pau (IIB‐Sant Pau), Hospital de la Santa Creu i Sant PauBarcelonaSpain
- CIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Carlos III InstituteMadridSpain
| | - Jesus Pérez‐Pérez
- Movement Disorders Unit, Department of NeurologyBiomedical Research Institute Sant Pau (IIB‐Sant Pau), Hospital de la Santa Creu i Sant PauBarcelonaSpain
- CIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Carlos III InstituteMadridSpain
| | - Jaime Kulisevsky
- Movement Disorders Unit, Department of NeurologyBiomedical Research Institute Sant Pau (IIB‐Sant Pau), Hospital de la Santa Creu i Sant PauBarcelonaSpain
- CIBERNED (Center for Networked Biomedical Research on Neurodegenerative Diseases), Carlos III InstituteMadridSpain
- Universidad Autónoma de BarcelonaBarcelonaSpain
| | | | - Irene Vaquer
- Hestia Duran i Reynals, Hospital Duran i Reynals, Hospitalet de LlobregatBarcelonaSpain
| | - Susana Subira
- Hestia Duran i Reynals, Hospital Duran i Reynals, Hospitalet de LlobregatBarcelonaSpain
- Department of Clinical and Health PsychologyUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Matilde Calopa
- Movement Disorders Unit, Neurology Service, Hospital Universitari de Bellvitge, L'Hospitalet de LlobregatBarcelonaSpain
| | - Esteban Muñoz
- Movement Disorders Unit, Neurology Service, Hospital ClínicBarcelonaSpain
- IDIBAPS (Institut d'Investigacions Biomèdiques August Pi i Sunyer)BarcelonaSpain
- Facultat de medicina, University of BarcelonaBarcelonaSpain
| | - Pilar Santacruz
- Movement Disorders Unit, Neurology Service, Hospital ClínicBarcelonaSpain
| | | | | | - Nuria Caballol
- Hospital de Sant Joan Despí Moisès Broggi, Sant Joan DespíBarcelonaSpain
| | - Estela Camara
- Cognition and Brain Plasticity UnitIDIBELL (Institut d'Investigació Biomèdica de Bellvitge), L'Hospitalet de LlobregatBarcelonaSpain
- Department of Cognition, Development and Educational PsychologyUniversity of BarcelonaBarcelonaSpain
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28
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McColgan P, Seunarine KK, Gregory S, Razi A, Papoutsi M, Long JD, Mills JA, Johnson E, Durr A, Roos RA, Leavitt BR, Stout JC, Scahill RI, Clark CA, Rees G, Tabrizi SJ. Topological length of white matter connections predicts their rate of atrophy in premanifest Huntington's disease. JCI Insight 2017; 2:92641. [PMID: 28422761 PMCID: PMC5396531 DOI: 10.1172/jci.insight.92641] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 03/16/2017] [Indexed: 12/11/2022] Open
Abstract
We lack a mechanistic explanation for the stereotyped pattern of white matter loss seen in Huntington’s disease (HD). While the earliest white matter changes are seen around the striatum, within the corpus callosum, and in the posterior white matter tracts, the order in which these changes occur and why these white matter connections are specifically vulnerable is unclear. Here, we use diffusion tractography in a longitudinal cohort of individuals yet to develop clinical symptoms of HD to identify a hierarchy of vulnerability, where the topological length of white matter connections between a brain area and its neighbors predicts the rate of atrophy over 24 months. This demonstrates a new principle underlying neurodegeneration in HD, whereby brain connections with the greatest topological length are the first to suffer damage that can account for the stereotyped pattern of white matter loss observed in premanifest HD. Diffusion tractography in a longitudinal cohort demonstrates that topological length of white matter connections can account for white matter loss patterns in premanifest Huntington’s disease.
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Affiliation(s)
- Peter McColgan
- Huntington's Disease Centre, Department of Neurodegenerative Disease
| | - Kiran K Seunarine
- Developmental Imaging and Biophysics Section, UCL Institute of Child Health, London, United Kingdom
| | - Sarah Gregory
- Huntington's Disease Centre, Department of Neurodegenerative Disease
| | - Adeel Razi
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom.,Department of Electronic Engineering, NED University of Engineering and Technology, Karachi, Pakistan
| | - Marina Papoutsi
- Huntington's Disease Centre, Department of Neurodegenerative Disease
| | - Jeffrey D Long
- Department of Psychiatry.,Department of Biostatistics, University of Iowa, Iowa City, Iowa, USA
| | | | - Eileanoir Johnson
- Huntington's Disease Centre, Department of Neurodegenerative Disease
| | - Alexandra Durr
- APHP Department of Genetics, University Hospital Pitié-Salpêtrière, and ICM (Brain and Spine Institute) INSERM U1127, CNRS UMR7225, Sorbonne Universités - UPMC Paris VI UMR_S1127, Paris, France
| | - Raymund Ac Roos
- Department of Neurology, Leiden University Medical Centre, Leiden, Netherlands
| | - Blair R Leavitt
- Centre for Molecular Medicine and Therapeutics, Department of Medical Genetics, University of British Columbia, Vancouver British Columbia, Canada
| | - Julie C Stout
- School of Psychological Sciences, Monash University, Australia
| | - Rachael I Scahill
- Huntington's Disease Centre, Department of Neurodegenerative Disease
| | - Chris A Clark
- Developmental Imaging and Biophysics Section, UCL Institute of Child Health, London, United Kingdom
| | - Geraint Rees
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom
| | - Sarah J Tabrizi
- Huntington's Disease Centre, Department of Neurodegenerative Disease.,National Hospital for Neurology and Neurosurgery, Queen Square, London, United Kingdom
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- The Track-On HD Investigators are detailed in the Supplemental Acknowledgments
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29
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Aging of cerebral white matter. Ageing Res Rev 2017; 34:64-76. [PMID: 27865980 DOI: 10.1016/j.arr.2016.11.006] [Citation(s) in RCA: 153] [Impact Index Per Article: 21.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 10/21/2016] [Accepted: 11/04/2016] [Indexed: 12/12/2022]
Abstract
White matter (WM) occupies a large volume of the human cerebrum and is mainly composed of myelinated axons and myelin-producing glial cells. The myelinated axons within WM are the structural foundation for efficient neurotransmission between cortical and subcortical areas. Similar to neuron-enriched gray matter areas, WM undergoes a series of changes during the process of aging. WM malfunction can induce serious neurobehavioral and cognitive impairments. Thus, age-related changes in WM may contribute to the functional decline observed in the elderly. In addition, aged WM becomes more susceptible to neurological disorders, such as stroke, traumatic brain injury (TBI), and neurodegeneration. In this review, we summarize the structural and functional alterations of WM in natural aging and speculate on the underlying mechanisms. We also discuss how age-related WM changes influence the progression of various brain disorders, including ischemic and hemorrhagic stroke, TBI, Alzheimer's disease, and Parkinson's disease. Although the physiology of WM is still poorly understood relative to gray matter, WM is a rational therapeutic target for a number of neurological and psychiatric conditions.
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30
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Harrington DL, Long JD, Durgerian S, Mourany L, Koenig K, Bonner-Jackson A, Paulsen JS, Rao SM. Cross-sectional and longitudinal multimodal structural imaging in prodromal Huntington's disease. Mov Disord 2016; 31:1664-1675. [PMID: 27620011 PMCID: PMC5115975 DOI: 10.1002/mds.26803] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 08/17/2016] [Accepted: 08/22/2016] [Indexed: 11/08/2022] Open
Abstract
OBJECTIVES Diffusivity in white-matter tracts is abnormal throughout the brain in cross-sectional studies of prodromal Huntington's disease. To date, longitudinal changes have not been observed. The present study investigated cross-sectional and longitudinal changes in white-matter diffusivity in relationship to the phase of prodromal Huntington's progression, and compared them with changes in brain volumes and clinical variables that track disease progression. METHODS Diffusion MRI profiles were studied for 2 years in 37 gene-negative controls and 64 prodromal Huntington's disease participants in varied phases of disease progression. To estimate the relative importance of diffusivity metrics in the prodromal phase, group effects were rank ordered relative to those obtained from analyses of brain volumes, motor, cognitive, and sensory variables. RESULTS First, at baseline diffusivity was abnormal throughout all tracts, especially as individuals approached a manifest Huntington's disease diagnosis. Baseline diffusivity metrics in 6 tracts and basal ganglia volumes best distinguished among the groups. Second, group differences in longitudinal change in diffusivity were localized to the superior fronto-occipital fasciculus, most prominently in individuals closer to a diagnosis. Group differences were also observed in longitudinal changes of most brain volumes, but not clinical variables. Last, increases in motor symptoms across time were associated with greater changes in the superior fronto-occipital fasciculus diffusivity and corpus callosum, cerebrospinal fluid, and lateral ventricle volumes. CONCLUSIONS These novel findings provide new insights into changes within 2 years in different facets of brain structure and their clinical relevance to changes in symptomatology that is decisive for a manifest Huntington's diagnosis. © 2016 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Deborah L Harrington
- Department of Radiology, University of California, San Diego, La Jolla, California, USA
- Research Service, Veteran's Affairs San Diego Healthcare System, San Diego, California, USA
| | - Jeffrey D Long
- Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA
| | - Sally Durgerian
- Department of Neurology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Lyla Mourany
- Schey Center for Cognitive Neuroimaging, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Katherine Koenig
- Imaging Sciences, Imaging Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Aaron Bonner-Jackson
- Lou Ruvo Center for Brain Health, Neurological Institute, Cleveland Clinic, Ohio, USA
| | - Jane S Paulsen
- Carver College of Medicine, The University of Iowa, Iowa City, Iowa, USA
| | - Stephen M Rao
- Schey Center for Cognitive Neuroimaging, Neurological Institute, Cleveland Clinic, Cleveland, Ohio, USA
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31
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Van Schependom J, Jain S, Cambron M, Vanbinst AM, De Mey J, Smeets D, Nagels G. Reliability of measuring regional callosal atrophy in neurodegenerative diseases. NEUROIMAGE-CLINICAL 2016; 12:825-831. [PMID: 27830115 PMCID: PMC5094205 DOI: 10.1016/j.nicl.2016.10.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 10/13/2016] [Indexed: 11/21/2022]
Abstract
The Corpus Callosum (CC) is an important structure connecting the two brain hemispheres. As several neurodegenerative diseases are known to alter its shape, it is an interesting structure to assess as biomarker. Yet, currently, the CC-segmentation is often performed manually and is consequently an error prone and time-demanding procedure. In this paper, we present an accurate and automated method for corpus callosum segmentation based on T1-weighted MRI images. After the initial construction of a CC atlas based on healthy controls, a new image is subjected to a mid-sagittal plane (MSP) detection algorithm and a 3D affine registration in order to initialise the CC within the extracted MSP. Next, an active shape model is run to extract the CC. We calculated the reliability of most popular CC features (area, circularity, corpus callosum index and thickness profile) in healthy controls, Alzheimer's Disease patients and Multiple Sclerosis patients. Importantly, we also provide inter-scanner reliability estimates. We obtained an intra-class correlation coefficient (ICC) of over 0.95 for most features and most datasets. The inter-scanner reliability assessed on the MS patients was remarkably well and ranged from 0.77 to 0.97. In summary, we have constructed an algorithm that reliably detects the CC in 3D T1 images in a fully automated way in healthy controls and different neurodegenerative diseases. Although the CC area and the circularity are the most reliable features (ICC > 0.97); the reliability of the thickness profile (ICC > 0.90; excluding the tip) is sufficient to warrant its inclusion in future clinical studies. A completely automated segmentation of the Corpus Callosum Both traditional features and the thickness profile using Laplace's equation are calculated. Excellent reproducibility and accuracy in healthy controls Excellent reproducibility and accuracy in Alzheimer's Dementia and Multiple Sclerosis patients Excellent inter-scanner reliability enabling the pooling of multi-center data
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Affiliation(s)
- Jeroen Van Schependom
- Center for Neurosciences, UZ Brussel, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium; Radiology, UZ Brussel, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Saurabh Jain
- Icometrix NV, Kolonel Begaultlaan 1B, 3012 Leuven, Belgium
| | - Melissa Cambron
- Center for Neurosciences, UZ Brussel, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Anne-Marie Vanbinst
- Radiology, UZ Brussel, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Johan De Mey
- Radiology, UZ Brussel, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Dirk Smeets
- Icometrix NV, Kolonel Begaultlaan 1B, 3012 Leuven, Belgium
| | - Guy Nagels
- Center for Neurosciences, UZ Brussel, Vrije Universiteit Brussel, Laarbeeklaan 103, 1090 Brussels, Belgium; Faculté de Psychologie et des Sciences de l'Education, Place du Parc 20, 7000 Mons, Belgium; National MS Center Melsbroek, Vanheylenstraat 16, 1820 Melsbroek, Belgium
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32
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Di Pardo A, Amico E, Maglione V. Impaired Levels of Gangliosides in the Corpus Callosum of Huntington Disease Animal Models. Front Neurosci 2016; 10:457. [PMID: 27766070 PMCID: PMC5052274 DOI: 10.3389/fnins.2016.00457] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2016] [Accepted: 09/21/2016] [Indexed: 12/18/2022] Open
Abstract
Huntington Disease (HD) is a genetic neurodegenerative disorder characterized by broad types of cellular and molecular dysfunctions that may affect both neuronal and non-neuronal cell populations. Among all the molecular mechanisms underlying the complex pathogenesis of the disease, alteration of sphingolipids has been identified as one of the most important determinants in the last years. In the present study, besides the purpose of further confirming the evidence of perturbed metabolism of gangliosides GM1, GD1a, and GT1b the most abundant cerebral glycosphingolipids, in the striatal and cortical tissues of HD transgenic mice, we aimed to test the hypothesis that abnormal levels of these lipids may be found also in the corpus callosum white matter, a ganglioside-enriched brain region described being dysfunctional early in the disease. Semi-quantitative analysis of GM1, GD1a, and GT1b content indicated that ganglioside metabolism is a common feature in two different HD animal models (YAC128 and R6/2 mice) and importantly, demonstrated that levels of these gangliosides were significantly reduced in the corpus callosum white matter of both models starting from the early stages of the disease. Besides corroborating the evidence of aberrant ganglioside metabolism in HD, here, we found out for the first time, that ganglioside dysfunction is an early event in HD models and it may potentially represent a critical molecular change influencing the pathogenesis of the disease.
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Affiliation(s)
- Alba Di Pardo
- Istituto Neurologico Mediterraneo (IRCCS) Neuromed Pozzilli, Italy
| | - Enrico Amico
- Istituto Neurologico Mediterraneo (IRCCS) Neuromed Pozzilli, Italy
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Steventon JJ, Trueman RC, Ma D, Yhnell E, Bayram-Weston Z, Modat M, Cardoso J, Ourselin S, Lythgoe M, Stewart A, Rosser AE, Jones DK. Longitudinal in vivo MRI in a Huntington's disease mouse model: Global atrophy in the absence of white matter microstructural damage. Sci Rep 2016; 6:32423. [PMID: 27581950 PMCID: PMC5007531 DOI: 10.1038/srep32423] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Accepted: 08/05/2016] [Indexed: 12/20/2022] Open
Abstract
Huntington’s disease (HD) is a genetically-determined neurodegenerative disease. Characterising neuropathology in mouse models of HD is commonly restricted to cross-sectional ex vivo analyses, beset by tissue fixation issues. In vivo longitudinal magnetic resonance imaging (MRI) allows for disease progression to be probed non-invasively. In the HdhQ150 mouse model of HD, in vivo MRI was employed at two time points, before and after the onset of motor signs, to assess brain macrostructure and white matter microstructure. Ex vivo MRI, immunohistochemistry, transmission electron microscopy and behavioural testing were also conducted. Global brain atrophy was found in HdhQ150 mice at both time points, with no neuropathological progression across time and a selective sparing of the cerebellum. In contrast, no white matter abnormalities were detected from the MRI images or electron microscopy images alike. The relationship between motor function and MR-based structural measurements was different for the HdhQ150 and wild-type mice, although there was no relationship between motor deficits and histopathology. Widespread neuropathology prior to symptom onset is consistent with patient studies, whereas the absence of white matter abnormalities conflicts with patient data. The myriad reasons for this inconsistency require further attention to improve the translatability from mouse models of disease.
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Affiliation(s)
- Jessica J Steventon
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Park Place, Cardiff, CF10 3AT, UK.,Brain Repair Group, Life Science Building, 3rd Floor, School of Biosciences, Cardiff University, Museum Avenue, Cardiff, CF10 3AX, UK.,Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building, Cathays, Cardiff, CF24 4HQ, UK.,Experimental MRI Centre, School of Biosciences, Cardiff University, Museum Avenue, Cardiff, CF10 3AX, UK
| | - Rebecca C Trueman
- Brain Repair Group, Life Science Building, 3rd Floor, School of Biosciences, Cardiff University, Museum Avenue, Cardiff, CF10 3AX, UK.,School of Life Sciences, Queen's Medical Centre, Nottingham University, Nottingham, NG7 2UH, UK
| | - Da Ma
- Centre for Medical Imaging Computing, University College London, London, UK.,Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK
| | - Emma Yhnell
- Brain Repair Group, Life Science Building, 3rd Floor, School of Biosciences, Cardiff University, Museum Avenue, Cardiff, CF10 3AX, UK.,Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building, Cathays, Cardiff, CF24 4HQ, UK
| | - Zubeyde Bayram-Weston
- Brain Repair Group, Life Science Building, 3rd Floor, School of Biosciences, Cardiff University, Museum Avenue, Cardiff, CF10 3AX, UK.,Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building, Cathays, Cardiff, CF24 4HQ, UK
| | - Marc Modat
- Centre for Medical Imaging Computing, University College London, London, UK
| | - Jorge Cardoso
- Centre for Medical Imaging Computing, University College London, London, UK
| | - Sebastian Ourselin
- Centre for Medical Imaging Computing, University College London, London, UK
| | - Mark Lythgoe
- Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, UK
| | - Andrew Stewart
- Experimental MRI Centre, School of Biosciences, Cardiff University, Museum Avenue, Cardiff, CF10 3AX, UK
| | - Anne E Rosser
- Brain Repair Group, Life Science Building, 3rd Floor, School of Biosciences, Cardiff University, Museum Avenue, Cardiff, CF10 3AX, UK.,Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building, Cathays, Cardiff, CF24 4HQ, UK.,Institute of Psychological Medicine and Neurology, School of Medicine, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff CF24 4HQ, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Park Place, Cardiff, CF10 3AT, UK.,Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building, Cathays, Cardiff, CF24 4HQ, UK
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Steventon JJ, Trueman RC, Rosser AE, Jones DK. Robust MR-based approaches to quantifying white matter structure and structure/function alterations in Huntington's disease. J Neurosci Methods 2016; 265:2-12. [PMID: 26335798 PMCID: PMC4863525 DOI: 10.1016/j.jneumeth.2015.08.027] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2015] [Revised: 08/17/2015] [Accepted: 08/20/2015] [Indexed: 12/02/2022]
Abstract
BACKGROUND Huge advances have been made in understanding and addressing confounds in diffusion MRI data to quantify white matter microstructure. However, there has been a lag in applying these advances in clinical research. Some confounds are more pronounced in HD which impedes data quality and interpretability of patient-control differences. This study presents an optimised analysis pipeline and addresses specific confounds in a HD patient cohort. METHOD 15 HD gene-positive and 13 matched control participants were scanned on a 3T MRI system with two diffusion MRI sequences. An optimised post processing pipeline included motion, eddy current and EPI correction, rotation of the B matrix, free water elimination (FWE) and tractography analysis using an algorithm capable of reconstructing crossing fibres. The corpus callosum was examined using both a region-of-interest and a deterministic tractography approach, using both conventional diffusion tensor imaging (DTI)-based and spherical deconvolution analyses. RESULTS Correcting for CSF contamination significantly altered microstructural metrics and the detection of group differences. Reconstructing the corpus callosum using spherical deconvolution produced a more complete reconstruction with greater sensitivity to group differences, compared to DTI-based tractography. Tissue volume fraction (TVF) was reduced in HD participants and was more sensitive to disease burden compared to DTI metrics. CONCLUSION Addressing confounds in diffusion MR data results in more valid, anatomically faithful white matter tract reconstructions with reduced within-group variance. TVF is recommended as a complementary metric, providing insight into the relationship with clinical symptoms in HD not fully captured by conventional DTI metrics.
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Affiliation(s)
- Jessica J Steventon
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Park Place, Cardiff CF10 3AT, UK; Brain Repair Group, Life Science Building, 3rd Floor, School of Biosciences, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK; Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building, Cathays, Cardiff CF24 4HQ, UK.
| | - Rebecca C Trueman
- Brain Repair Group, Life Science Building, 3rd Floor, School of Biosciences, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK; School of Biomedical Sciences, Queen's Medical Centre, Nottingham University, Nottingham NG7 2UH, UK
| | - Anne E Rosser
- Brain Repair Group, Life Science Building, 3rd Floor, School of Biosciences, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK; Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building, Cathays, Cardiff CF24 4HQ, UK; Institute of Psychological Medicine and Neurology, School of Medicine, Hadyn Ellis Building, Maindy Road, Cathays, Cardiff CF24 4HQ, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Park Place, Cardiff CF10 3AT, UK; Neuroscience and Mental Health Research Institute, Cardiff University, Hadyn Ellis Building, Cathays, Cardiff CF24 4HQ, UK
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35
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Phillips OR, Joshi SH, Squitieri F, Sanchez-Castaneda C, Narr K, Shattuck DW, Caltagirone C, Sabatini U, Di Paola M. Major Superficial White Matter Abnormalities in Huntington's Disease. Front Neurosci 2016; 10:197. [PMID: 27242403 PMCID: PMC4876130 DOI: 10.3389/fnins.2016.00197] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 04/21/2016] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND The late myelinating superficial white matter at the juncture of the cortical gray and white matter comprising the intracortical myelin and short-range association fibers has not received attention in Huntington's disease. It is an area of the brain that is late myelinating and is sensitive to both normal aging and neurodegenerative disease effects. Therefore, it may be sensitive to Huntington's disease processes. METHODS Structural MRI data from 25 Pre-symptomatic subjects, 24 Huntington's disease patients and 49 healthy controls was run through a cortical pattern-matching program. The surface corresponding to the white matter directly below the cortical gray matter was then extracted. Individual subject's Diffusion Tensor Imaging (DTI) data was aligned to their structural MRI data. Diffusivity values along the white matter surface were then sampled at each vertex point. DTI measures with high spatial resolution across the superficial white matter surface were then analyzed with the General Linear Model to test for the effects of disease. RESULTS There was an overall increase in the axial and radial diffusivity across much of the superficial white matter (p < 0.001) in Pre-symptomatic subjects compared to controls. In Huntington's disease patients increased diffusivity covered essentially the whole brain (p < 0.001). Changes are correlated with genotype (CAG repeat number) and disease burden (p < 0.001). CONCLUSIONS This study showed broad abnormalities in superficial white matter even before symptoms are present in Huntington's disease. Since, the superficial white matter has a unique microstructure and function these abnormalities suggest it plays an important role in the disease.
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Affiliation(s)
- Owen R. Phillips
- Morphology and Morphometry for NeuroImaging Lab, Clinical and Behavioural Neurology Department, IRCCS Fondazione Santa LuciaRome, Italy
- Neuroscience Department, University of Rome “Tor Vergata”Rome, Italy
| | - Shantanu H. Joshi
- Ahmanson Lovelace Brain Mapping Center, Neurology, University of California Los AngelesLos Angeles, CA, USA
| | - Ferdinando Squitieri
- IRCCS Casa Sollievo della SofferenzaSan Giovanni Rotondo, Italy
- CSS-MendelRome, Italy
- Lega Italiana Ricerca Huntington FoundationRome, Italy
| | - Cristina Sanchez-Castaneda
- Radiology Department, IRCCS Santa Lucia FoundationRome, Italy
- Department of Psychiatry and Clinical Psychobiology, University of Barcelona, IDIBAPSBarcelona, Spain
| | - Katherine Narr
- Ahmanson Lovelace Brain Mapping Center, Neurology, University of California Los AngelesLos Angeles, CA, USA
| | - David W. Shattuck
- Ahmanson Lovelace Brain Mapping Center, Neurology, University of California Los AngelesLos Angeles, CA, USA
| | - Carlo Caltagirone
- Neuroscience Department, University of Rome “Tor Vergata”Rome, Italy
- Clinical and Behavioural Neurology Department, IRCCS Fondazione Santa LuciaRome, Italy
| | - Umberto Sabatini
- Radiology Department, IRCCS Santa Lucia FoundationRome, Italy
- Neuroradiology, University of Magna GraeciaCatanzaro, Italy
| | - Margherita Di Paola
- Morphology and Morphometry for NeuroImaging Lab, Clinical and Behavioural Neurology Department, IRCCS Fondazione Santa LuciaRome, Italy
- Human Studies Department, Libera Università Maria SS. Assunta (LUMSA)Rome, Italy
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36
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Shi J, Collignon O, Xu L, Wang G, Kang Y, Leporé F, Lao Y, Joshi AA, Leporé N, Wang Y. Impact of Early and Late Visual Deprivation on the Structure of the Corpus Callosum: A Study Combining Thickness Profile with Surface Tensor-Based Morphometry. Neuroinformatics 2016; 13:321-336. [PMID: 25649876 DOI: 10.1007/s12021-014-9259-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Blindness represents a unique model to study how visual experience may shape the development of brain organization. Exploring how the structure of the corpus callosum (CC) reorganizes ensuing visual deprivation is of particular interest due to its important functional implication in vision (e.g., via the splenium of the CC). Moreover, comparing early versus late visually deprived individuals has the potential to unravel the existence of a sensitive period for reshaping the CC structure. Here, we develop a novel framework to capture a complete set of shape differences in the CC between congenitally blind (CB), late blind (LB) and sighted control (SC) groups. The CCs were manually segmented from T1-weighted brain MRI and modeled by 3D tetrahedral meshes. We statistically compared the combination of local area and thickness at each point between subject groups. Differences in area are found using surface tensor-based morphometry; thickness is estimated by tracing the streamlines in the volumetric harmonic field. Group differences were assessed on this combined measure using Hotelling's T(2) test. Interestingly, we observed that the total callosal volume did not differ between the groups. However, our fine-grained analysis reveals significant differences mostly localized around the splenium areas between both blind groups and the sighted group (general effects of blindness) and, importantly, specific dissimilarities between the LB and CB groups, illustrating the existence of a sensitive period for reorganization. The new multivariate statistics also gave better effect sizes for detecting morphometric differences, relative to other statistics. They may boost statistical power for CC morphometric analyses.
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Affiliation(s)
- Jie Shi
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | | | - Liang Xu
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
| | - Gang Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
- School of Information and Electrical Engineering, Ludong University, Yantai, China
| | - Yue Kang
- Department of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Franco Leporé
- Department of Psychology, University of Montreal, Montreal, QC, Canada
| | - Yi Lao
- Department of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Anand A Joshi
- Signal and Image Processing Institute, Brain and Creativity Institute, University of Southern California, Los Angeles, CA, USA
| | - Natasha Leporé
- Department of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, USA
- Department of Radiology & Biomedical Engineering, University of Southern California, Los Angeles, CA, USA
| | - Yalin Wang
- School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
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Gregory S, Cole JH, Farmer RE, Rees EM, Roos RA, Sprengelmeyer R, Durr A, Landwehrmeyer B, Zhang H, Scahill RI, Tabrizi SJ, Frost C, Hobbs NZ. Longitudinal Diffusion Tensor Imaging Shows Progressive Changes in White Matter in Huntington’s Disease. J Huntingtons Dis 2015; 4:333-46. [DOI: 10.3233/jhd-150173] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Sarah Gregory
- Wellcome Trust Centre for Neuroimaging, UCL, London, WC1N 3BG, UK
| | - James H. Cole
- UCL Institute of Neurology, University College London, UK
- Computational, Cognitive & Clinical Neuroimaging Laboratory, Department of Medicine, Imperial College London, UK
| | - Ruth E. Farmer
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine London, UK
| | - Elin M. Rees
- UCL Institute of Neurology, University College London, UK
| | - Raymund A.C. Roos
- Department of Neurology, Leiden University Medical Centre, 2300RC Leiden, The Netherlands
| | | | - Alexandra Durr
- Department of Genetics and Cytogenetics, INSERM UMR S679, APHP Hôpital de la Salpêtrière, Paris, France
| | | | - Hui Zhang
- Centre for Medical Image Computing, University College London, UK
| | | | | | - Chris Frost
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine London, UK
| | - Nicola Z. Hobbs
- UCL Institute of Neurology, University College London, UK
- IXICO Plc., London, UK
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38
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Mutant huntingtin downregulates myelin regulatory factor-mediated myelin gene expression and affects mature oligodendrocytes. Neuron 2015; 85:1212-26. [PMID: 25789755 DOI: 10.1016/j.neuron.2015.02.026] [Citation(s) in RCA: 108] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Revised: 11/27/2014] [Accepted: 02/05/2015] [Indexed: 11/21/2022]
Abstract
Growing evidence indicates that non-neuronal mutant huntingtin toxicity plays an important role in Huntington's disease (HD); however, whether and how mutant huntingtin affects oligodendrocytes, which are vitally important for neural function and axonal integrity, remains unclear. We first verified the presence of mutant huntingtin in oligodendrocytes in HD140Q knockin mice. We then established transgenic mice (PLP-150Q) that selectively express mutant huntingtin in oligodendrocytes. PLP-150Q mice show progressive neurological symptoms and early death, as well as age-dependent demyelination and reduced expression of myelin genes that are downstream of myelin regulatory factor (MYRF or MRF), a transcriptional regulator that specifically activates and maintains the expression of myelin genes in mature oligodendrocytes. Consistently, mutant huntingtin binds abnormally to MYRF and affects its transcription activity. Our findings suggest that dysfunction of mature oligodendrocytes is involved in HD pathogenesis and may also make a good therapeutic target.
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Goveas J, O'Dwyer L, Mascalchi M, Cosottini M, Diciotti S, De Santis S, Passamonti L, Tessa C, Toschi N, Giannelli M. Diffusion-MRI in neurodegenerative disorders. Magn Reson Imaging 2015; 33:853-76. [PMID: 25917917 DOI: 10.1016/j.mri.2015.04.006] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2014] [Revised: 04/18/2015] [Accepted: 04/19/2015] [Indexed: 12/11/2022]
Abstract
The ability to image the whole brain through ever more subtle and specific methods/contrasts has come to play a key role in understanding the basis of brain abnormalities in several diseases. In magnetic resonance imaging (MRI), "diffusion" (i.e. the random, thermally-induced displacements of water molecules over time) represents an extraordinarily sensitive contrast mechanism, and the exquisite structural detail it affords has proven useful in a vast number of clinical as well as research applications. Since diffusion-MRI is a truly quantitative imaging technique, the indices it provides can serve as potential imaging biomarkers which could allow early detection of pathological alterations as well as tracking and possibly predicting subtle changes in follow-up examinations and clinical trials. Accordingly, diffusion-MRI has proven useful in obtaining information to better understand the microstructural changes and neurophysiological mechanisms underlying various neurodegenerative disorders. In this review article, we summarize and explore the main applications, findings, perspectives as well as challenges and future research of diffusion-MRI in various neurodegenerative disorders including Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, Huntington's disease and degenerative ataxias.
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Affiliation(s)
- Joseph Goveas
- Department of Psychiatry and Behavioral Medicine, and Institute for Health and Society, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Laurence O'Dwyer
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt, Germany
| | - Mario Mascalchi
- Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy; Quantitative and Functional Neuroradiology Research Program at Meyer Children and Careggi Hospitals of Florence, Florence, Italy
| | - Mirco Cosottini
- Department of Translational Research and New Surgical and Medical Technologies, University of Pisa, Pisa, Italy; Unit of Neuroradiology, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy
| | - Stefano Diciotti
- Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Cesena, Italy
| | - Silvia De Santis
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK
| | - Luca Passamonti
- Institute of Bioimaging and Molecular Physiology, National Research Council, Catanzaro, Italy; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Carlo Tessa
- Division of Radiology, "Versilia" Hospital, AUSL 12 Viareggio, Lido di Camaiore, Italy
| | - Nicola Toschi
- Department of Biomedicine and Prevention, Medical Physics Section, University of Rome "Tor Vergata", Rome, Italy; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Marco Giannelli
- Unit of Medical Physics, Pisa University Hospital "Azienda Ospedaliero-Universitaria Pisana", Pisa, Italy.
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Novak MJU, Seunarine KK, Gibbard CR, McColgan P, Draganski B, Friston K, Clark CA, Tabrizi SJ. Basal ganglia-cortical structural connectivity in Huntington's disease. Hum Brain Mapp 2015; 36:1728-40. [PMID: 25640796 DOI: 10.1002/hbm.22733] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Revised: 11/04/2014] [Accepted: 12/22/2014] [Indexed: 11/07/2022] Open
Abstract
Huntington's disease is an incurable neurodegenerative disease caused by inheritance of an expanded cytosine-adenine-guanine (CAG) trinucleotide repeat within the Huntingtin gene. Extensive volume loss and altered diffusion metrics in the basal ganglia, cortex and white matter are seen when patients with Huntington's disease (HD) undergo structural imaging, suggesting that changes in basal ganglia-cortical structural connectivity occur. The aims of this study were to characterise altered patterns of basal ganglia-cortical structural connectivity with high anatomical precision in premanifest and early manifest HD, and to identify associations between structural connectivity and genetic or clinical markers of HD. 3-Tesla diffusion tensor magnetic resonance images were acquired from 14 early manifest HD subjects, 17 premanifest HD subjects and 18 controls. Voxel-based analyses of probabilistic tractography were used to quantify basal ganglia-cortical structural connections. Canonical variate analysis was used to demonstrate disease-associated patterns of altered connectivity and to test for associations between connectivity and genetic and clinical markers of HD; this is the first study in which such analyses have been used. Widespread changes were seen in basal ganglia-cortical structural connectivity in early manifest HD subjects; this has relevance for development of therapies targeting the striatum. Premanifest HD subjects had a pattern of connectivity more similar to that of controls, suggesting progressive change in connections over time. Associations between structural connectivity patterns and motor and cognitive markers of disease severity were present in early manifest subjects. Our data suggest the clinical phenotype in manifest HD may be at least partly a result of altered connectivity.
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Affiliation(s)
- Marianne J U Novak
- Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, United Kingdom
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Sánchez‐Castañeda C, Squitieri F, Di Paola M, Dayan M, Petrollini M, Sabatini U. The role of iron in gray matter degeneration in Huntington's disease: a magnetic resonance imaging study. Hum Brain Mapp 2015; 36:50-66. [PMID: 25145324 PMCID: PMC6868940 DOI: 10.1002/hbm.22612] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2013] [Revised: 07/03/2014] [Accepted: 08/11/2014] [Indexed: 11/06/2022] Open
Abstract
In Huntington's disease, iron accumulation in basal ganglia accompanies neuronal loss. However, if iron content changes with disease progression and how it relates to gray matter atrophy is not clear yet. We explored iron content in basal ganglia and cortex and its relationship with gray matter volume in 77 mutation carriers [19 presymptomatic, 8 with soft symptoms (SS), and 50 early-stage patients) and 73 matched-controls by T2*relaxometry and T1-weighted imaging on a 3T scanner. The ANCOVA model showed that iron accumulates in the caudate in presymptomatic subjects (P = 0.004) and remains relatively stable along disease stages in this nucleus; while increases in putamen and globus pallidus (P < 0.05). Volume instead decreases in basal ganglia, starting from the caudate (P < 0.0001) and extending to the putamen and globus pallidus (P ≤ 0.001). The longer the disease duration and the higher the CAG repeats, the higher the iron accumulation and the smaller the volume. In the cortex, iron decreases in parieto-occipital areas in SS (P < 0.027); extending to premotor and parieto-temporo-occipital areas in patients (P < 0.003); while volume declines in frontoparietal and temporal areas in presymptomatic (P < 0.023) and SS (P < 0.045), and extends throughout the cortex, with the exception of anterior frontal regions, in patients (P < 0.023). There is an inverse correlation between volume and iron levels in putamen, globus pallidus and the anterior cingulate; and a direct correlation in cortical structures (SMA-sensoriomotor and temporo-occipital). Iron homeostasis is affected in the disease; however, there appear to be differences in the role played by iron in basal ganglia and in cortex.
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Affiliation(s)
- Cristina Sánchez‐Castañeda
- Department of RadiologyIRCCS Santa Lucia FoundationRomeItaly
- Department of Psychiatry and Clinical PsychobiologyUniversity of Barcelona, IDIBAPSBarcelonaSpain
| | | | - Margherita Di Paola
- Department of RadiologyIRCCS Santa Lucia FoundationRomeItaly
- Department of Internal Medicine and Public HealthUniversity of L'Aquila, L'AquilaCoppitoItaly
| | - Michael Dayan
- Department of RadiologyIRCCS Santa Lucia FoundationRomeItaly
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Phillips O, Squitieri F, Sanchez-Castaneda C, Elifani F, Caltagirone C, Sabatini U, Di Paola M. Deep white matter in Huntington's disease. PLoS One 2014; 9:e109676. [PMID: 25340651 PMCID: PMC4207674 DOI: 10.1371/journal.pone.0109676] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Accepted: 09/03/2014] [Indexed: 11/19/2022] Open
Abstract
White matter (WM) abnormalities have already been shown in presymptomatic (Pre-HD) and symptomatic HD subjects using Magnetic Resonance Imaging (MRI). In the present study, we examined the microstructure of the long-range large deep WM tracts by applying two different MRI approaches: Diffusion Tensor Imaging (DTI) -based tractography, and T2*weighted (iron sensitive) imaging. We collected Pre-HD subjects (n = 25), HD patients (n = 25) and healthy control subjects (n = 50). Results revealed increased axial (AD) and radial diffusivity (RD) and iron levels in Pre-HD subjects compared to controls. Fractional anisotropy decreased between the Pre-HD and HD phase and AD/RD increased and although impairment was pervasive in HD, degeneration occurred in a pattern in Pre-HD. Furthermore, iron levels dropped for HD patients. As increased iron levels are associated with remyelination, the data suggests that Pre-HD subjects attempt to repair damaged deep WM years before symptoms occur but this process fails with disease progression.
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Affiliation(s)
- Owen Phillips
- Clinical and Behavioural Neurology Dept, IRCCS Santa Lucia Foundation, Rome, Italy
| | | | | | | | - Carlo Caltagirone
- Clinical and Behavioural Neurology Dept, IRCCS Santa Lucia Foundation, Rome, Italy
- Neuroscience Dept, University of Rome “Tor Vergata”, Rome, Italy
| | | | - Margherita Di Paola
- Clinical and Behavioural Neurology Dept, IRCCS Santa Lucia Foundation, Rome, Italy
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Di Paola M, Phillips OR, Sanchez-Castaneda C, Di Pardo A, Maglione V, Caltagirone C, Sabatini U, Squitieri F. MRI measures of corpus callosum iron and myelin in early Huntington's disease. Hum Brain Mapp 2014; 35:3143-51. [PMID: 24895252 PMCID: PMC6869772 DOI: 10.1002/hbm.22391] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2013] [Revised: 07/19/2013] [Accepted: 07/29/2013] [Indexed: 11/09/2022] Open
Abstract
Increased iron in subcortical gray matter (GM) structures of patients with Huntington's disease (HD) has been suggested as a causal factor in neuronal degeneration. But how iron content is related to white matter (WM) changes in HD is still unknown. For example, it is not clear whether WM changes share the same physiopathology (i.e. iron accumulation) with GM or whether there is a different mechanism. The present study used MRI to examine iron content in premanifest gene carriers (PreHD, n = 25) and in early HD patients (n = 25) compared with healthy controls (n = 50). 3T MRI acquisitions included high resolution 3D T1, EPI sequences for diffusion tensor imaging (DTI) as an indirect measure of tissue integrity, and T2*-weighted gradient echo-planar imaging for MR-based relaxometry (R2*), which provides an indirect measure of ferritin/iron deposition in the brain. Myelin breakdown starts in the PreHD stage, but there is no difference in iron content values. Iron content reduction manifests later, in the early HD stage, in which we found a lower R2* parameter value in the isthmus. The WM iron reduction in HD is temporally well-defined (no iron differences in PreHD subjects and iron differences only in early HD patients). Iron level in callosal WM may be regarded as a marker of disease state, as iron does not differentiate PreHD subjects from controls but distinguishes between PreHD and HD.
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Affiliation(s)
- M Di Paola
- Department of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; Department of Life, Health and Environmental Sciences, University of L'Aquila, Italy
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Phillips O, Squitieri F, Sanchez-Castaneda C, Elifani F, Griguoli A, Maglione V, Caltagirone C, Sabatini U, Di Paola M. The Corticospinal Tract in Huntington's Disease. Cereb Cortex 2014; 25:2670-82. [PMID: 24706734 DOI: 10.1093/cercor/bhu065] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Huntington's disease (HD) is characterized by progressive motor impairment. Therefore, the connectivity of the corticospinal tract (CST), which is the main white matter (WM) pathway that conducts motor impulses from the primary motor cortex to the spinal cord, merits particular attention. WM abnormalities have already been shown in presymptomatic (Pre-HD) and symptomatic HD subjects using magnetic resonance imaging (MRI). In the present study, we examined CST microstructure using diffusion tensor imaging (DTI)-based tractography in 30-direction DTI data collected from 100 subjects: Pre-HD subjects (n = 25), HD patients (n = 25) and control subjects (n = 50), and T2*-weighted (iron sensitive) imaging. Results show decreased fractional anisotropy (FA) and increased axial (AD), and radial diffusivity (RD) in the bilateral CST of HD patients. Pre-HD subjects had elevated iron in the left CST, regionally localized between the brainstem and thalamus. CAG repeat length in conjunction with age, as well as motor (UHDRS) assessment were correlated with CST FA, AD, and RD both in Pre-HD and HD. In the presymptomatic phase, increased iron in the inferior portion supports the "dying back" hypothesis that axonal damage advances in a retrograde fashion. Furthermore, early iron alteration may cause a high level of toxicity, which may contribute to further damage.
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Affiliation(s)
- O Phillips
- Clinical and Behavioral Neurology Department, Rome, Italy
| | | | | | - F Elifani
- IRCCS Neuromed (Pozzilli), Pozzilli, Italy
| | - A Griguoli
- IRCCS Neuromed (Pozzilli), Pozzilli, Italy
| | - V Maglione
- IRCCS Neuromed (Pozzilli), Pozzilli, Italy
| | - C Caltagirone
- Clinical and Behavioral Neurology Department, Rome, Italy Neuroscience Department, University of Rome 'Tor Vergata', Rome, Italy
| | - U Sabatini
- Radiology Department, IRCCS Santa Lucia Foundation, Rome, Italy
| | - M Di Paola
- Clinical and Behavioral Neurology Department, Rome, Italy Department of Internal Medicine and Public Health, University of L'Aquila, Rome, Italy
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Bauer G, Płonka-Półtorak E, Bauer R, Unterberger I, Kuchukhidze G. Corpus callosum and epilepsies. JOURNAL OF EPILEPTOLOGY 2013. [DOI: 10.1515/joepi-2015-0008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
SUMMARYIntroduction.Corpus callosum (CC) is the largest forebrain commissure. Structural anomalies and accompanying clinical symptoms are not in the focus of neurologists, epileptologists or neurosurgeons.Aim and method.Anatomy, embryological development, normal functions, structural abnormalities, additional malformations, clinical symptoms and seizure disorders with CC anomalies are reviewed from the literature.Review.The detection of callosal anomalies increased rapidly with widespread use of brain imaging methods. Agenesis or dysgenesis of corpus callosum (AgCC) might be considered an accidental finding. Epileptic seizures occur in up to 89% of patients with AgCC. The causal relationship correctly is questioned. However, additional causative malformations of midline and/or telencephalic structures can be demonstrated in most seizure patients. The interruption of bilateral spread of seizure activities acts as the concept for callosotomy as epilepsy surgery. Indications are drug-resistant generalized, diffuse, or multifocal epilepsies. A resectable seizure onset zone should be excluded. Most treated patients are diagnosed as Lennox-Gastaut or Lennox-like syndrome.Conclusions.In cases with callosal abnormalities and clinical symptoms additional malformations are frequently observed, especially with seizure disorders. Callosotomy is the most effective option against drop attacks. The method probably is underused. After callosotomy a circumscript seizure focus might be unveiled and a second step of resective epilepsy surgery can be successful.
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Hess CW, Ofori E, Akbar U, Okun MS, Vaillancourt DE. The evolving role of diffusion magnetic resonance imaging in movement disorders. Curr Neurol Neurosci Rep 2013; 13:400. [PMID: 24046183 PMCID: PMC3824956 DOI: 10.1007/s11910-013-0400-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Significant advances have allowed diffusion magnetic resonance imaging (MRI) to evolve into a powerful tool in the field of movement disorders that can be used to study disease states and connectivity between brain regions. Diffusion MRI is a promising potential biomarker for Parkinson's disease and other forms of parkinsonism, and may allow the distinction of different forms of parkinsonism. Techniques such as tractography have contributed to our current thinking regarding the pathophysiology of dystonia and possible mechanisms of penetrance. Diffusion MRI measures could potentially assist in monitoring disease progression in Huntington's disease, and in uncovering the nature of the processes and structures involved the development of essential tremor. The ability to represent structural connectivity in vivo also makes diffusion MRI an ideal adjunctive tool for the surgical treatment of movement disorders. We review recent studies using diffusion MRI in movement disorders research and present the current state of the science as well as future directions.
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Affiliation(s)
- Christopher W. Hess
- Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
- University of Florida Center for Movement Disorders & Neurorestoration, Gainesville, FL, USA
- Neurology Service, Malcom Randall VA Medical Center, Gainesville, FL, USA
| | - Edward Ofori
- Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
| | - Umer Akbar
- University of Florida Center for Movement Disorders & Neurorestoration, Gainesville, FL, USA
| | - Michael S. Okun
- University of Florida Center for Movement Disorders & Neurorestoration, Gainesville, FL, USA
| | - David E. Vaillancourt
- Laboratory for Rehabilitation Neuroscience, University of Florida, Gainesville, FL, USA
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Phillips O, Sanchez-Castaneda C, Elifani F, Maglione V, Di Pardo A, Caltagirone C, Squitieri F, Sabatini U, Di Paola M. Tractography of the corpus callosum in Huntington's disease. PLoS One 2013; 8:e73280. [PMID: 24019913 PMCID: PMC3760905 DOI: 10.1371/journal.pone.0073280] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2013] [Accepted: 07/18/2013] [Indexed: 12/22/2022] Open
Abstract
White matter abnormalities have been shown in presymptomatic and symptomatic Huntington's disease (HD) subjects using Magnetic Resonance Imaging (MRI) and Diffusion Tensor Imaging (DTI) methods. The largest white matter tract, the corpus callosum (CC), has been shown to be particularly vulnerable; however, little work has been done to investigate the regional specificity of tract abnormalities in the CC. Thus, this study examined the major callosal tracts by applying DTI-based tractography. Using TrackVis, a previously defined region of interest tractography method parcellating CC into seven major tracts based on target region was applied to 30 direction DTI data collected from 100 subjects: presymptomatic HD (Pre-HD) subjects (n=25), HD patients (n=25) and healthy control subjects (n=50). Tractography results showed decreased fractional anisotropy (FA) and increased radial diffusivity (RD) across broad regions of the CC in Pre-HD subjects. Similar though more severe deficits were seen in HD patients. In Pre-HD and HD, callosal FA and RD were correlated with Disease Burden/CAG repeat length as well as motor (UHDRSI) and cognitive (URDRS2) assessments. These results add evidence that CC pathways are compromised prior to disease onset with possible demyelination occurring early in the disease and suggest that CAG repeat length is a contributing factor to connectivity deficits. Furthermore, disruption of these callosal pathways potentially contributes to the disturbances of motor and cognitive processing that characterize HD.
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Affiliation(s)
- Owen Phillips
- Clinical and Behavioural Neurology Department, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
| | - Cristina Sanchez-Castaneda
- Radiology Department, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
| | - Francesca Elifani
- Centre for Neurogenetics and Rare Diseases, Istituto di Ricovero e Cura a Carattere Scientifico Neuromed, Pozzilli, Italy
| | - Vittorio Maglione
- Centre for Neurogenetics and Rare Diseases, Istituto di Ricovero e Cura a Carattere Scientifico Neuromed, Pozzilli, Italy
| | - Alba Di Pardo
- Centre for Neurogenetics and Rare Diseases, Istituto di Ricovero e Cura a Carattere Scientifico Neuromed, Pozzilli, Italy
| | - Carlo Caltagirone
- Clinical and Behavioural Neurology Department, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
- Neuroscience Department, University of Rome “Tor Vergata,” Rome, Italy
| | - Ferdinando Squitieri
- Centre for Neurogenetics and Rare Diseases, Istituto di Ricovero e Cura a Carattere Scientifico Neuromed, Pozzilli, Italy
| | - Umberto Sabatini
- Radiology Department, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
| | - Margherita Di Paola
- Clinical and Behavioural Neurology Department, Istituto di Ricovero e Cura a Carattere Scientifico Santa Lucia Foundation, Rome, Italy
- Department of Internal Medicine and Public Health, University of L’Aquila, L’Aquila, Italy
- * E-mail:
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Matsui JT, Vaidya JG, Johnson HJ, Magnotta VA, Long JD, Mills JA, Lowe MJ, Sakaie KE, Rao SM, Smith MM, Paulsen JS. Diffusion weighted imaging of prefrontal cortex in prodromal Huntington's disease. Hum Brain Mapp 2013; 35:1562-73. [PMID: 23568433 DOI: 10.1002/hbm.22273] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2012] [Revised: 11/09/2012] [Accepted: 01/28/2013] [Indexed: 11/07/2022] Open
Abstract
Huntington's disease (HD) is a devastating neurodegenerative disease with no effective disease-modifying treatments. There is considerable interest in finding reliable indicators of disease progression to judge the efficacy of novel treatments that slow or stop disease onset before debilitating signs appear. Diffusion-weighted imaging (DWI) may provide a reliable marker of disease progression by characterizing diffusivity changes in white matter (WM) in individuals with prodromal HD. The prefrontal cortex (PFC) may play a role in HD progression due to its prominent striatal connections and documented role in executive function. This study uses DWI to characterize diffusivity in specific regions of PFC WM defined by FreeSurfer in 53 prodromal HD participants and 34 controls. Prodromal HD individuals were separated into three CAG-Age Product (CAP) groups (16 low, 22 medium, 15 high) that indexed baseline progression. Statistically significant increases in mean diffusivity (MD) and radial diffusivity (RD) among CAP groups relative to controls were seen in inferior and lateral PFC regions. For MD and RD, differences among controls and HD participants tracked with baseline disease progression. The smallest difference was for the low group and the largest for the high group. Significant correlations between Trail Making Test B (TMTB) and mean fractional anisotropy (FA) and/or RD paralleled group differences in mean MD and/or RD in several right hemisphere regions. The gradient of effects that tracked with CAP group suggests DWI may provide markers of disease progression in future longitudinal studies as increasing diffusivity abnormalities in the lateral PFC of prodromal HD individuals.
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Affiliation(s)
- Joy T Matsui
- Department of Psychiatry, The University of Iowa, Iowa City, Iowa; John A. Burns School of Medicine, The University of Hawaii, Honolulu, Hawaii
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Oligodendroglia and neurotrophic factors in neurodegeneration. Neurosci Bull 2013; 29:216-28. [PMID: 23558590 DOI: 10.1007/s12264-013-1321-3] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2012] [Accepted: 01/26/2013] [Indexed: 12/12/2022] Open
Abstract
Myelination by oligodendroglial cells (OLs) enables the propagation of action potentials along neuronal axons, which is essential for rapid information flow in the central nervous system. Besides saltatory conduction, the myelin sheath also protects axons against inflammatory and oxidative insults. Loss of myelin results in axonal damage and ultimately neuronal loss in demyelinating disorders. However, accumulating evidence indicates that OLs also provide support to neurons via mechanisms beyond the insulating function of myelin. More importantly, an increasing volume of reports indicates defects of OLs in numerous neurodegenerative diseases, sometimes even preceding neuronal loss in pre-symptomatic episodes, suggesting that OL pathology may be an important mechanism contributing to the initiation and/or progression of neurodegeneration. This review focuses on the emerging picture of neuronal support by OLs in the pathogenesis of neurodegenerative disorders through diverse molecular and cellular mechanisms, including direct neuron-myelin interaction, metabolic support by OLs, and neurotrophic factors produced by and/or acting on OLs.
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Abstract
Corticostriatal projections are essential components of forebrain circuits and are widely involved in motivated behaviour. These axonal projections are formed by two distinct classes of cortical neurons, intratelencephalic (IT) and pyramidal tract (PT) neurons. Convergent evidence points to IT versus PT differentiation of the corticostriatal system at all levels of functional organization, from cellular signalling mechanisms to circuit topology. There is also growing evidence for IT/PT imbalance as an aetiological factor in neurodevelopmental, neuropsychiatric and movement disorders - autism, amyotrophic lateral sclerosis, obsessive-compulsive disorder, schizophrenia, Huntington's and Parkinson's diseases and major depression are highlighted here.
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Affiliation(s)
- Gordon M. G. Shepherd
- Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA;
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