Linking white matter and deep gray matter alterations in premanifest Huntington disease

Huntington disease (HD) is a fatal progressive neurodegenerative disorder for which only symptomatic treatment is available. A better understanding of the pathology, and identification of biomarkers will facilitate the development of disease-modifying treatments. HD is potentially a good model of a neurodegenerative disease for development of biomarkers because it is an autosomal-dominant disease with complete penetrance, caused by a single gene mutation, in which the neurodegenerative process can be assessed many years before onset of signs and symptoms of manifest disease. Previous MRI studies have detected abnormalities in gray and white matter starting in premanifest stages. However, the understanding of how these abnormalities are related, both in time and space, is still incomplete. In this study, we combined deep gray matter shape diffeomorphometry and white matter DTI analysis in order to provide a better mapping of pathology in the deep gray matter and subcortical white matter in premanifest HD. We used 296 MRI scans from the PREDICT-HD database. Atrophy in the deep gray matter, thalamus, hippocampus, and nucleus accumbens was analyzed by surface based morphometry, and while white matter abnormalities were analyzed in (i) regions of interest surrounding these structures, using (ii) tractography-based analysis, and using (iii) whole brain atlas-based analysis. We detected atrophy in the deep gray matter, particularly in putamen, from early premanifest stages. The atrophy was greater both in extent and effect size in cases with longer exposure to the effects of the CAG expansion mutation (as assessed by greater CAP-scores), and preceded detectible abnormalities in the white matter. Near the predicted onset of manifest HD, the MD increase was widespread, with highest indices in the deep and posterior white matter. This type of in-vivo macroscopic mapping of HD brain abnormalities can potentially indicate when and where therapeutics could be targeted to delay the onset or slow the disease progression.

[1]  Chris Frost,et al.  Predictors of phenotypic progression and disease onset in premanifest and early-stage Huntington's disease in the TRACK-HD study: analysis of 36-month observational data , 2013, The Lancet Neurology.

[2]  G. Pearlson,et al.  Rate of caudate atrophy in presymptomatic and symptomatic stages of Huntington's disease , 2000, Movement disorders : official journal of the Movement Disorder Society.

[3]  Jane S. Paulsen,et al.  Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis , 2012, Human brain mapping.

[4]  Jane S. Paulsen,et al.  Detection of Huntington’s disease decades before diagnosis: the Predict-HD study , 2007, Journal of Neurology, Neurosurgery, and Psychiatry.

[5]  Jane S. Paulsen,et al.  Regional atrophy associated with cognitive and motor function in prodromal Huntington disease. , 2013, Journal of Huntington's disease.

[6]  Stefan Klöppel,et al.  White matter connections reflect changes in voluntary-guided saccades in pre-symptomatic Huntington's disease. , 2008, Brain : a journal of neurology.

[7]  Manish S. Shah,et al.  A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes , 1993, Cell.

[8]  Eun Young Kim,et al.  Robust multi-site MR data processing: iterative optimization of bias correction, tissue classification, and registration , 2013, Front. Neuroinform..

[9]  Jane S. Paulsen,et al.  Indexing disease progression at study entry with individuals at‐risk for Huntington disease , 2011, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[10]  E Ray Dorsey,et al.  Natural history of Huntington disease. , 2013, JAMA neurology.

[11]  Anqi Qiu,et al.  Basal ganglia volume and shape in children with attention deficit hyperactivity disorder. , 2009, The American journal of psychiatry.

[12]  Folstein Se The psychopathology of Huntington's disease. , 1991 .

[13]  L. Raymond,et al.  Caudate volume as an outcome measure in clinical trials for Huntington’s disease: a pilot study , 2003, Brain Research Bulletin.

[14]  M. Battaglini,et al.  Magnetization Transfer MR Imaging Demonstrates Degeneration of the Subcortical and Cortical Gray Matter in Huntington Disease , 2010, American Journal of Neuroradiology.

[15]  Vincent A Magnotta,et al.  Longitudinal change in regional brain volumes in prodromal Huntington disease , 2010, Journal of Neurology, Neurosurgery & Psychiatry.

[16]  Guido Gerig,et al.  Diffeomorphic Shape Trajectories for Improved Longitudinal Segmentation and Statistics , 2014, MICCAI.

[17]  Nick C Fox,et al.  Computer-assisted imaging to assess brain structure in healthy and diseased brains , 2003, The Lancet Neurology.

[18]  G. Egan,et al.  White matter connectivity reflects clinical and cognitive status in Huntington's disease , 2014, Neurobiology of Disease.

[19]  G. Pearlson,et al.  Longitudinal change in basal ganglia volume in patients with Huntington's disease , 1997, Neurology.

[20]  A. Southwell,et al.  Personalized gene silencing therapeutics for Huntington disease , 2014, Clinical genetics.

[21]  Michael I. Miller,et al.  Content-based image retrieval for brain MRI: An image-searching engine and population-based analysis to utilize past clinical data for future diagnosis , 2015, NeuroImage: Clinical.

[22]  Jane S. Paulsen,et al.  Prediction of manifest Huntington's disease with clinical and imaging measures: a prospective observational study , 2014, The Lancet Neurology.

[23]  Ronald Pierson,et al.  Fully automated analysis using BRAINS: AutoWorkup , 2011, NeuroImage.

[24]  N Makris,et al.  Striatal volume loss in HD as measured by MRI and the influence of CAG repeat , 2001, Neurology.

[25]  Anusha Sritharan,et al.  Diffusion Tensor Imaging in Huntington’s disease reveals distinct patterns of white matter degeneration associated with motor and cognitive deficits , 2011, Brain Imaging and Behavior.

[26]  Jan Kassubek,et al.  Executive dysfunction in early stages of Huntington's disease is associated with striatal and insular atrophy: A neuropsychological and voxel-based morphometric study , 2005, Journal of the Neurological Sciences.

[27]  Sarah A. J. Reading,et al.  Regional white matter change in pre-symptomatic Huntington's disease: A diffusion tensor imaging study , 2005, Psychiatry Research: Neuroimaging.

[28]  Jane S. Paulsen,et al.  Unified Huntington's disease rating scale: Reliability and consistency , 1996, Movement disorders : official journal of the Movement Disorder Society.

[29]  Arthur W. Toga,et al.  Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template , 2008, NeuroImage.

[30]  Paul M. Thompson,et al.  Mapping hippocampal and ventricular change in Alzheimer disease , 2004, NeuroImage.

[31]  Christopher A. Ross,et al.  Striatal Volume Contributes to the Prediction of Onset of Huntington Disease in Incident Cases , 2012, Biological Psychiatry.

[32]  Jan Sijbers,et al.  A complementary diffusion tensor imaging (DTI)-histological study in a model of Huntington's disease , 2012, Neurobiology of Aging.

[33]  M. MacDonald,et al.  CAG repeat number governs the development rate of pathology in Huntington's disease , 1997, Annals of neurology.

[34]  Hans J. Johnson,et al.  Preliminary analysis using multi-atlas labeling algorithms for tracing longitudinal change , 2015, Front. Neurosci..

[35]  Dawei Liu,et al.  Stable Atlas-based Mapped Prior (STAMP) machine-learning segmentation for multicenter large-scale MRI data. , 2014, Magnetic resonance imaging.

[36]  Michael I. Miller,et al.  Large Deformation Diffeomorphism and Momentum Based Hippocampal Shape Discrimination in Dementia of the Alzheimer type , 2007, IEEE Transactions on Medical Imaging.

[37]  Demian Wassermann,et al.  Prefrontal cortex white matter tracts in prodromal Huntington disease , 2015, Human brain mapping.

[38]  Anqi Qiu,et al.  Basal ganglia shapes predict social, communication, and motor dysfunctions in boys with autism spectrum disorder. , 2010, Journal of the American Academy of Child and Adolescent Psychiatry.

[39]  N. Aronin,et al.  Huntingtin‐lowering strategies in Huntington's disease: Antisense oligonucleotides, small RNAs, and gene editing , 2014, Movement disorders : official journal of the Movement Disorder Society.

[40]  Jane S. Paulsen,et al.  Huntington disease: natural history, biomarkers and prospects for therapeutics , 2014, Nature Reviews Neurology.

[41]  Chris Frost,et al.  Potential endpoints for clinical trials in premanifest and early Huntington's disease in the TRACK-HD study: analysis of 24 month observational data , 2012, The Lancet Neurology.

[42]  David S Tuch,et al.  Diffusion tensor imaging in presymptomatic and early Huntington's disease: Selective white matter pathology and its relationship to clinical measures , 2006, Movement disorders : official journal of the Movement Disorder Society.

[43]  Jane S. Paulsen,et al.  Unified Huntington's disease rating scale: Reliability and consistency , 1996, Movement disorders : official journal of the Movement Disorder Society.

[44]  Jun Ma,et al.  A Bayesian Generative Model for Surface Template Estimation , 2010, Int. J. Biomed. Imaging.

[45]  Frederik Maes,et al.  Diffusion-weighted versus volumetric imaging of the striatum in early symptomatic Huntington disease , 2009, Journal of Neurology.

[46]  Jane S. Paulsen,et al.  Preparing for preventive clinical trials: the Predict-HD study. , 2006, Archives of neurology.

[47]  P. Basser,et al.  Toward a quantitative assessment of diffusion anisotropy , 1996, Magnetic resonance in medicine.

[48]  Michael I. Miller,et al.  Knowledge-based automated reconstruction of human brain white matter tracts using a path-finding approach with dynamic programming , 2014, NeuroImage.

[49]  C. Ross,et al.  Huntington's Disease and Dentatorubral‐Pallidoluysian Atrophy: Proteins, Pathogenesis and Pathology , 1997, Brain pathology.

[50]  Can Ceritoglu,et al.  Increasing the power of functional maps of the medial temporal lobe by using large deformation diffeomorphic metric mapping. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[51]  Nick C Fox,et al.  Biological and clinical manifestations of Huntington's disease in the longitudinal TRACK-HD study: cross-sectional analysis of baseline data , 2009, The Lancet Neurology.

[52]  Sylvain Bouix,et al.  Thalamo‐frontal white matter alterations in chronic schizophrenia , 2009, Human brain mapping.

[53]  R. Reilmann,et al.  Diagnostic criteria for Huntington's disease based on natural history , 2014, Movement disorders : official journal of the Movement Disorder Society.

[54]  L. Younes,et al.  Inferring changepoint times of medial temporal lobe morphometric change in preclinical Alzheimer's disease , 2014, NeuroImage: Clinical.

[55]  Jessica A. Turner,et al.  MultiCenter Reliability of Diffusion Tensor Imaging , 2012, Brain Connect..

[56]  E. Oster,et al.  Informativeness of Early Huntington Disease Signs about Gene Status. , 2015, Journal of Huntington's disease.

[57]  A. Aron,et al.  Contrasting gray and white matter changes in preclinical Huntington disease , 2010, Neurology.

[58]  Arthur W. Toga,et al.  Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer's disease participants , 2009, NeuroImage.

[59]  H. Jeremy Bockholt,et al.  Clinical and Biomarker Changes in Premanifest Huntington Disease Show Trial Feasibility: A Decade of the PREDICT-HD Study , 2014, Front. Aging Neurosci..

[60]  Nick C Fox,et al.  Relationship between CAG repeat length and brain volume in premanifest and early Huntington’s disease , 2009, Journal of Neurology.

[61]  Michael I. Miller,et al.  Atlas-based analysis of neurodevelopment from infancy to adulthood using diffusion tensor imaging and applications for automated abnormality detection , 2010, NeuroImage.

[62]  David S. Lee,et al.  The diffeomorphometry of temporal lobe structures in preclinical Alzheimer's disease , 2013, NeuroImage: Clinical.

[63]  S. Folstein,et al.  The psychopathology of Huntington's disease , 1995, Biological Psychiatry.

[64]  Can Ceritoglu,et al.  Diffeomorphic brain mapping based on T1‐weighted images: Improvement of registration accuracy by multichannel mapping , 2013, Journal of magnetic resonance imaging : JMRI.

[65]  R. Reilmann,et al.  Corpus callosal atrophy in premanifest and early Huntington's disease. , 2013, Journal of Huntington's disease.

[66]  Jane S. Paulsen,et al.  Striatal and white matter predictors of estimated diagnosis for Huntington disease , 2010, Brain Research Bulletin.

[67]  M Filippi,et al.  Regional Distribution and Clinical Correlates of White Matter Structural Damage in Huntington Disease: A Tract-Based Spatial Statistics Study , 2010, American Journal of Neuroradiology.

[68]  Karl J. Friston,et al.  Basal ganglia‐cortical structural connectivity in Huntington's disease , 2015, Human brain mapping.

[69]  Michael I. Miller,et al.  Multi-contrast large deformation diffeomorphic metric mapping for diffusion tensor imaging , 2009, NeuroImage.

[70]  S. Joshi,et al.  Early DAT is distinguished from aging by high-dimensional mapping of the hippocampus , 2000, Neurology.

[71]  Timothy Edward John Behrens,et al.  In vivo evidence for the selective subcortical degeneration in Huntington's disease , 2009, NeuroImage.

[72]  Martin Styner,et al.  DTIPrep: quality control of diffusion-weighted images , 2014, Front. Neuroinform..

[73]  S. Lehéricy,et al.  The structural correlates of functional deficits in early huntington's disease , 2013, Human brain mapping.

[74]  Nellie Georgiou-Karistianis,et al.  Structural MRI in Huntington's disease and recommendations for its potential use in clinical trials , 2013, Neuroscience & Biobehavioral Reviews.

[75]  L. Younes,et al.  Diffeomorphometry and geodesic positioning systems for human anatomy. , 2014, Technology.

[76]  U. Grenander,et al.  Hippocampal morphometry in schizophrenia by high dimensional brain mapping. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[77]  Joan Alexis Glaunès,et al.  Surface Matching via Currents , 2005, IPMI.

[78]  Arthur W. Toga,et al.  Human brain white matter atlas: Identification and assignment of common anatomical structures in superficial white matter , 2008, NeuroImage.

[79]  A. Cherubini,et al.  Seeking huntington disease biomarkers by multimodal, cross‐sectional basal ganglia imaging , 2013, Human brain mapping.