3D pattern of brain abnormalities in Williams syndrome visualized using tensor-based morphometry

UNLABELLED Williams syndrome (WS) is a neurodevelopmental disorder associated with deletion of approximately 20 contiguous genes in chromosome band 7q11.23. Individuals with WS exhibit mild to moderate mental retardation, but are relatively more proficient in specific language and musical abilities. We used tensor-based morphometry (TBM) to visualize the complex pattern of gray/white matter reductions in WS, based on fluid registration of structural brain images. METHODS 3D T1-weighted brain MRIs of 41 WS subjects (age [mean+/-SD]: 29.2+/-9.2 years; 23F/18M) and 39 age-matched healthy controls (age: 27.5+/-7.4 years; 23F/16M) were fluidly registered to a minimum deformation target. Fine-scale volumetric differences were mapped between diagnostic groups. Local regions were identified where regional structure volumes were associated with diagnosis, and with intelligence quotient (IQ) scores. Brain asymmetry was also mapped and compared between diagnostic groups. RESULTS WS subjects exhibited widely distributed brain volume reductions (approximately 10-15% reduction; P<0.0002, permutation test). After adjusting for total brain volume, the frontal lobes, anterior cingulate, superior temporal gyrus, amygdala, fusiform gyrus and cerebellum were found to be relatively preserved in WS, but parietal and occipital lobes, thalamus and basal ganglia, and midbrain were disproportionally decreased in volume (P<0.0002). These regional volumes also correlated positively with performance IQ in adult WS subjects (age > or = 30 years, P = 0.038). CONCLUSION TBM facilitates 3D visualization of brain volume reductions in WS. Reduced parietal/occipital volumes may be associated with visuospatial deficits in WS. By contrast, frontal lobes, amygdala, and cingulate gyrus are relatively preserved or even enlarged, consistent with unusual affect regulation and language production in WS.

[1]  S Eliez,et al.  Brain anatomy, gender and IQ in children and adolescents with fragile X syndrome. , 2001, Brain : a journal of neurology.

[2]  W. Greenough,et al.  Dendritic spine structural anomalies in fragile-X mental retardation syndrome. , 2000, Cerebral cortex.

[3]  P. Thompson,et al.  Neurobiology of intelligence: science and ethics , 2004, Nature Reviews Neuroscience.

[4]  Paul M. Thompson,et al.  Inverse Consistent Mapping in 3D Deformable Image Registration: Its Construction and Statistical Properties , 2005, IPMI.

[5]  D. Mathalon,et al.  A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. , 1994, Archives of neurology.

[6]  Fred L. Bookstein,et al.  “Voxel-Based Morphometry” Should Not Be Used with Imperfectly Registered Images , 2001, NeuroImage.

[7]  K Zilles,et al.  Cerebral asymmetry: MR planimetry of the human planum temporale. , 1989, Journal of computer assisted tomography.

[8]  A. Toga,et al.  High-Resolution Random Mesh Algorithms for Creating a Probabilistic 3D Surface Atlas of the Human Brain , 1996, NeuroImage.

[9]  Alan C. Evans,et al.  A Unified Statistical Approach to Deformation-Based Morphometry , 2001, NeuroImage.

[10]  Paul M. Thompson,et al.  Anomalous sylvian fissure morphology in Williams syndrome , 2006, NeuroImage.

[11]  Thomas E. Nichols,et al.  Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.

[12]  Ruth A. Carper,et al.  Evidence of brain overgrowth in the first year of life in autism. , 2003, JAMA.

[13]  Norbert Schuff,et al.  Deformation tensor morphometry of semantic dementia with quantitative validation , 2004, NeuroImage.

[14]  J. Haxby,et al.  Distinct representations of eye gaze and identity in the distributed human neural system for face perception , 2000, Nature Neuroscience.

[15]  Suzanne E. Welcome,et al.  Longitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children , 2022 .

[16]  Ben A. Oostra,et al.  Screening and Diagnosis for the Fragile X Syndrome among the Mentally Retarded: An Epidemiological and Psychological Survey , 1997 .

[17]  V. Menon,et al.  White matter tract alterations in fragile X syndrome: Preliminary evidence from diffusion tensor imaging , 2003, American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics.

[18]  Rumiko Matsuoka,et al.  VI. Genome Structure and Cognitive Map of Williams Syndrome , 2000, Journal of Cognitive Neuroscience.

[19]  David A. Ziegler,et al.  Abnormal asymmetry in language association cortex in autism , 2002, Annals of neurology.

[20]  David Rey,et al.  Symmetrization of the Non-rigid Registration Problem Using Inversion-Invariant Energies: Application to Multiple Sclerosis , 2000, MICCAI.

[21]  Leslie G. Ungerleider,et al.  The Effect of Face Inversion on Activity in Human Neural Systems for Face and Object Perception , 1999, Neuron.

[22]  Suzanne E. Welcome,et al.  Mapping cortical change across the human life span , 2003, Nature Neuroscience.

[23]  Michael Brady,et al.  Enhancement of MR Images , 1996, VBC.

[24]  Karl J. Friston,et al.  A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains , 2001, NeuroImage.

[25]  Karl J. Friston,et al.  Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains , 2001, NeuroImage.

[26]  Michael A. McDaniel Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence , 2005 .

[27]  A. Toga,et al.  Mapping brain maturation , 2006, Trends in Neurosciences.

[28]  Stephan Eliez,et al.  Attenuation of frontal asymmetry in pediatric posttraumatic stress disorder , 2001, Biological Psychiatry.

[29]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .

[30]  Karl J. Friston,et al.  Identifying global anatomical differences: Deformation‐based morphometry , 1998 .

[31]  Xue Hua,et al.  Detecting brain growth patterns in normal children using tensor‐based morphometry , 2009, Human brain mapping.

[32]  J. Gee,et al.  Geodesic estimation for large deformation anatomical shape averaging and interpolation , 2004, NeuroImage.

[33]  Nancy C. Andreasen,et al.  Intelligence and regional brain volumes in normal controls , 1997 .

[34]  A L Reiss,et al.  Decreased cerebellar posterior vermis size in fragile X syndrome , 1998, Neurology.

[35]  A. C. Rencher Methods of multivariate analysis , 1995 .

[36]  C. Studholme,et al.  An intensity consistent filtering approach to the analysis of deformation tensor derived maps of brain shape , 2003, NeuroImage.

[37]  H. Steinmetz,et al.  Structure, Function and Cerebral Asymmetry: In Vivo Morphometry of the Planum Temporale , 1996, Neuroscience & Biobehavioral Reviews.

[38]  Alan C. Evans,et al.  MRI Atlas of the Human Cerebellum , 2000 .

[39]  N. Geschwind,et al.  Right-left asymmetrics in the brain. , 1978, Science.

[40]  Gene E. Alexander,et al.  P2-212 Age-related cortical grey matter reductions in nondemented down's syndrome adults determined by magnetic resonance imaging with voxel-based morphometry , 2004, Neurobiology of Aging.

[41]  Nick C Fox,et al.  Visualisation and quantification of rates of atrophy in Alzheimer's disease , 1996, The Lancet.

[42]  K. Nakamura,et al.  The human amygdala plays an important role in gaze monitoring. A PET study. , 1999, Brain : a journal of neurology.

[43]  C. Mervis,et al.  Neural Basis of Genetically Determined Visuospatial Construction Deficit in Williams Syndrome , 2004, Neuron.

[44]  Gary E. Christensen,et al.  Consistent image registration , 2001, IEEE Transactions on Medical Imaging.

[45]  Richard S. J. Frackowiak,et al.  Learning to find your way: a role for the human hippocampal formation , 1996, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[46]  M. Posner,et al.  Cognitive and emotional influences in anterior cingulate cortex , 2000, Trends in Cognitive Sciences.

[47]  U. Bellugi,et al.  Williams syndrome: an exploration of neurocognitive and genetic features , 2001, Clinical Neuroscience Research.

[48]  Norbert Schuff,et al.  Longitudinal stability of MRI for mapping brain change using tensor-based morphometry , 2006, NeuroImage.

[49]  J Mazziotta,et al.  A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). , 2001, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[50]  Paul M. Thompson,et al.  Automated Surface Matching Using Mutual Information Applied to Riemann Surface Structures , 2005, MICCAI.

[51]  Norbert Schuff,et al.  Detecting Spatially Consistent Structural Differences in Alzheimer's and Fronto Temporal Dementia Using Deformation Morphometry , 2001, MICCAI.

[52]  Roger P. Woods,et al.  Characterizing volume and surface deformations in an atlas framework: theory, applications, and implementation , 2003, NeuroImage.

[53]  Arthur W Toga,et al.  Three-dimensional brain growth abnormalities in childhood-onset schizophrenia visualized by using tensor-based morphometry , 2008, Proceedings of the National Academy of Sciences.

[54]  K. Manly,et al.  Genomics, prior probability, and statistical tests of multiple hypotheses. , 2004, Genome research.

[55]  Arnaud Cachia,et al.  Parieto-occipital grey matter abnormalities in children with Williams syndrome , 2006, NeuroImage.

[56]  Gary H. Glover,et al.  Neural Correlates of Auditory Perception in Williams Syndrome: An fMRI Study , 2003, NeuroImage.

[57]  A. Toga,et al.  Mapping brain asymmetry , 2003, Nature Reviews Neuroscience.

[58]  H. Möller,et al.  Age-related cortical grey matter reductions in non-demented Down's syndrome adults determined by MRI with voxel-based morphometry. , 2004, Brain : a journal of neurology.

[59]  Thomas F. Nugent,et al.  Dynamic mapping of human cortical development during childhood through early adulthood. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[60]  Rob Willemsen,et al.  The fragile X syndrome: from molecular genetics to neurobiology. , 2004, Mental retardation and developmental disabilities research reviews.

[61]  Alan C. Evans,et al.  Enhancement of MR Images Using Registration for Signal Averaging , 1998, Journal of Computer Assisted Tomography.

[62]  A. Galaburda,et al.  An Experiment of Nature: Brain Anatomy Parallels Cognition and Behavior in Williams Syndrome , 2004, The Journal of Neuroscience.

[63]  C Caltagirone,et al.  Morphology and morphometry of the corpus callosum in Williams syndrome: A T1-weighted MRI study , 2002, Neuroreport.

[64]  Karl J. Friston,et al.  Voxel-based morphometry , 2007 .

[65]  Tyrone D. Cannon,et al.  Genetic influences on brain structure , 2001, Nature Neuroscience.

[66]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[67]  Moo K. Chung,et al.  Deformation-based surface morphometry applied to gray matter deformation , 2003, NeuroImage.

[68]  Karl J. Friston,et al.  Voxel-Based Morphometry—The Methods , 2000, NeuroImage.

[69]  Nicholas Ayache,et al.  Fast and Simple Calculus on Tensors in the Log-Euclidean Framework , 2005, MICCAI.

[70]  Paul M. Thompson,et al.  Multivariate Statistics of the Jacobian Matrices in Tensor Based Morphometry and Their Application to HIV/AIDS , 2006, MICCAI.

[71]  U Bellugi,et al.  Enlarged cerebellar vermis in Williams syndrome. , 2001, Journal of psychiatric research.

[72]  Alan C. Evans,et al.  Intellectual ability and cortical development in children and adolescents , 2006, Nature.

[73]  J V Haxby,et al.  Adult fragile X syndrome: neuropsychology, brain anatomy, and metabolism. , 1995, American journal of medical genetics.

[74]  Gary E. Christensen,et al.  Synthesizing average 3D anatomical shapes , 2006, NeuroImage.

[75]  Carl-Fredrik Westin,et al.  Spatial normalization of diffusion tensor MRI using multiple channels , 2003, NeuroImage.

[76]  Alan C. Evans,et al.  An MRI-based stereotactic atlas from 250 young normal subjects , 1992 .

[77]  A. Reiss,et al.  Brain development, gender and IQ in children. A volumetric imaging study. , 1996, Brain : a journal of neurology.

[78]  Carl-Fredrik Westin,et al.  White matter hemisphere asymmetries in healthy subjects and in schizophrenia: a diffusion tensor MRI study , 2004, NeuroImage.

[79]  A L Reiss,et al.  Frequency and stability of the fragile X premutation. , 1994, Human molecular genetics.

[80]  U Bellugi,et al.  Asymmetrical ability. , 1995, Science.

[81]  A. Dale,et al.  High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.

[82]  Moo K. Chung,et al.  Less white matter concentration in autism: 2D voxel-based morphometry , 2004, NeuroImage.

[83]  K. Wisniewski,et al.  The Fra(X) syndrome: neurological, electrophysiological, and neuropathological abnormalities. , 1991, American journal of medical genetics.

[84]  Brian B. Avants,et al.  Lagrangian frame diffeomorphic image registration: Morphometric comparison of human and chimpanzee cortex , 2006, Medical Image Anal..

[85]  W. Greenough,et al.  Sequence of abnormal dendritic spine development in primary somatosensory cortex of a mouse model of the fragile X mental retardation syndrome , 2005, American journal of medical genetics. Part A.

[86]  M. Miller Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms , 2004, NeuroImage.

[87]  H. Soininen,et al.  Fragile-X: neuropsychological test performance, CGG triplet repeat lengths, and hippocampal volumes. , 1997, The Journal of clinical investigation.

[88]  R. Kahn,et al.  The association between brain volume and intelligence is of genetic origin , 2002, Nature Neuroscience.

[89]  John D. Storey A direct approach to false discovery rates , 2002 .

[90]  E A Maguire,et al.  Hippocampal involvement in human topographical memory: evidence from functional imaging. , 1997, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[91]  Paul M. Thompson,et al.  Structural Abnormalities in the Brains of Human Subjects Who Use Methamphetamine , 2004, The Journal of Neuroscience.

[92]  A. Galaburda,et al.  Frontostriatal Dysfunction During Response Inhibition in Williams Syndrome , 2007, Biological Psychiatry.

[93]  Jagath C. Rajapakse,et al.  Quantitative Magnetic Resonance Imaging of Human Brain Development: Ages 4–18 , 1996 .

[94]  R. Leahy,et al.  Magnetic Resonance Image Tissue Classification Using a Partial Volume Model , 2001, NeuroImage.

[95]  Lok Ming Lui,et al.  BRAIN ANATOMICAL FEATURE DETECTION BY SOLVING PARTIAL DIFFERENTIAL EQUATIONS ON GENERAL MANIFOLDS , 2007 .

[96]  Alan C. Evans,et al.  Structural asymmetries in the human brain: a voxel-based statistical analysis of 142 MRI scans. , 2001, Cerebral cortex.

[97]  Connie M. Borror,et al.  Methods of Multivariate Analysis, 2nd Ed. , 2004 .

[98]  Ursula Bellugi,et al.  I. The Neurocognitive Profile of Williams Syndrome: A Complex Pattern of Strengths and Weaknesses , 2000, Journal of Cognitive Neuroscience.

[99]  J. Ashburner,et al.  Nonlinear spatial normalization using basis functions , 1999, Human brain mapping.

[100]  U Bellugi,et al.  Evidence for superior parietal impairment in Williams syndrome , 2005, Neurology.

[101]  A. Beaton,et al.  The Relation of Planum Temporale Asymmetry and Morphology of the Corpus Callosum to Handedness, Gender, and Dyslexia: A Review of the Evidence , 1997, Brain and Language.

[102]  W. Brown,et al.  Analysis of neocortex in three males with the fragile X syndrome. , 1991, American journal of medical genetics.

[103]  Kiralee M. Hayashi,et al.  Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome , 2005, The Journal of Neuroscience.

[104]  Timothy F. Cootes,et al.  A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building , 2005, IPMI.

[105]  Paul M. Thompson,et al.  Fluid registration of medical images using Jensen-Renyi divergence reveals 3D profile of brain atrophy in HIV/AIDS , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

[106]  Rex E. Jung,et al.  Structural brain variation and general intelligence , 2004, NeuroImage.

[107]  Christos Davatzikos,et al.  Voxel-Based Morphometry Using the RAVENS Maps: Methods and Validation Using Simulated Longitudinal Atrophy , 2001, NeuroImage.

[108]  E. Ross,et al.  Topography of the Human Corpus Callosum , 1985, Journal of neuropathology and experimental neurology.

[109]  Colin Studholme,et al.  A template free approach to volumetric spatial normalization of brain anatomy , 2004, Pattern Recognit. Lett..

[110]  Guido Gerig,et al.  Unbiased diffeomorphic atlas construction for computational anatomy , 2004, NeuroImage.

[111]  N. Geschwind,et al.  Human Brain: Left-Right Asymmetries in Temporal Speech Region , 1968, Science.

[112]  Alan C. Evans,et al.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data , 1998, IEEE Transactions on Medical Imaging.

[113]  G. Holmgren,et al.  Prevalence of the fragile-X syndrome in mentally retarded boys in a Swedish county. , 1986, American journal of medical genetics.

[114]  I. Weiler,et al.  Metabotropic glutamate receptors trigger postsynaptic protein synthesis. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[115]  V Menon,et al.  Frontostriatal deficits in fragile X syndrome: relation to FMR1 gene expression. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[116]  Paul M. Thompson,et al.  AUTOMATED 3D MAPPING & SHAPE ANALYSIS OF THE LATERAL VENTRICLES VIA FLUID REGISTRATION OF MULTIPLE SURFACE-BASED ATLASES , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[117]  A. Dale,et al.  Thinning of the cerebral cortex in aging. , 2004, Cerebral cortex.

[118]  V Menon,et al.  Anomalous brain activation during face and gaze processing in Williams syndrome , 2004, Neurology.

[119]  J. Leckman,et al.  Developmental implications of changing trajectories of IQ in males with fragile X syndrome. , 1990, Journal of the American Academy of Child and Adolescent Psychiatry.

[120]  Marko Wilke,et al.  Bright spots: correlations of gray matter volume with IQ in a normal pediatric population , 2003, NeuroImage.

[121]  Xavier Pennec,et al.  A Riemannian Framework for Tensor Computing , 2005, International Journal of Computer Vision.

[122]  Alan C. Evans,et al.  Quantifying variability in the planum temporale: a probability map. , 1999, Cerebral cortex.

[123]  D. Louis Collins,et al.  Automatic 3‐D model‐based neuroanatomical segmentation , 1995 .

[124]  Dinggang Shen,et al.  Very High-Resolution Morphometry Using Mass-Preserving Deformations and HAMMER Elastic Registration , 2003, NeuroImage.

[125]  Paul M. Thompson,et al.  3 D pattern of brain atrophy in HIV / AIDS visualized using tensor-based morphometry , 2006 .

[126]  Stephan Eliez,et al.  IV. Neuroanatomy of Williams Syndrome: A High-Resolution MRI Study , 2000, Journal of Cognitive Neuroscience.

[127]  Paul M. Thompson,et al.  HAMILTON-JACOBI SKELETONS ON CORTICAL SURFACES WITH APPLICATIONS IN CHARACTERIZING THE GYRIFICATION PATTERN INWILLIAMS SYNDROME , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[128]  Paul M. Thompson,et al.  Increased local gyrification mapped in Williams syndrome , 2006, NeuroImage.

[129]  Paul Koch,et al.  Functional, structural, and metabolic abnormalities of the hippocampal formation in Williams syndrome. , 2005, The Journal of clinical investigation.

[130]  C. Mervis,et al.  Neural correlates of genetically abnormal social cognition in Williams syndrome , 2005, Nature Neuroscience.

[131]  A T Hoogeveen,et al.  FMRP is associated to the ribosomes via RNA. , 1996, Human molecular genetics.

[132]  Richard M. Leahy,et al.  BrainSuite: An Automated Cortical Surface Identification Tool , 2000, MICCAI.

[133]  Jerry L Prince,et al.  A computerized approach for morphological analysis of the corpus callosum. , 1996, Journal of computer assisted tomography.

[134]  Thomas E. Nichols,et al.  Thresholding of Statistical Maps in Functional Neuroimaging Using the False Discovery Rate , 2002, NeuroImage.

[135]  Allan L. Reiss,et al.  To modulate or not to modulate: Differing results in uniquely shaped Williams syndrome brains , 2006, NeuroImage.

[136]  U Bellugi,et al.  Cerebral morphologic distinctions between Williams and Down syndromes. , 1993, Archives of neurology.

[137]  L. J. Hardies,et al.  An Optimized Individual Target Brain in the Talairach Coordinate System , 2002, NeuroImage.

[138]  Paul M. Thompson,et al.  3D pattern of brain abnormalities in Fragile X syndrome visualized using tensor-based morphometry , 2007, NeuroImage.

[139]  J. Mazziotta,et al.  Regional Spatial Normalization: Toward an Optimal Target , 2001, Journal of computer assisted tomography.

[140]  Paul M. Thompson,et al.  Use of 3-D cortical morphometry for mapping increased cortical gyrification and complexity in Williams syndrome , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

[141]  Epilepsy and Weeping-Reply , 1994 .

[142]  Alan C. Evans,et al.  Brain development during childhood and adolescence: a longitudinal MRI study , 1999, Nature Neuroscience.

[143]  U Bellugi,et al.  Corpus callosum morphology of Williams syndrome: relation to genetics and behavior. , 2001, Developmental medicine and child neurology.

[144]  Nick C Fox,et al.  Imaging of onset and progression of Alzheimer's disease with voxel-compression mapping of serial magnetic resonance images , 2001, The Lancet.

[145]  Peter T. Fox,et al.  Mapping structural differences of the corpus callosum in individuals with 18q deletions using targetless regional spatial normalization , 2005, Human brain mapping.

[146]  Ursula Bellugi,et al.  Bridging cognition, the brain and molecular genetics: evidence from Williams syndrome , 1999, Trends in Neurosciences.

[147]  Andrea Beckel-Mitchener,et al.  Correlates across the structural, functional, and molecular phenotypes of fragile X syndrome. , 2004, Mental retardation and developmental disabilities research reviews.

[148]  Paul M. Thompson,et al.  White matter abnormalities in autism detected through transverse relaxation time imaging , 2006, NeuroImage.

[149]  Mark H Johnson,et al.  Spatial representation and attention in toddlers with Williams syndrome and Down syndrome , 2003, Neuropsychologia.

[150]  Alan C. Evans,et al.  Growth patterns in the developing brain detected by using continuum mechanical tensor maps , 2000, Nature.