Genetic Contributions to Human Gyrification: Sulcal Morphometry in Williams Syndrome

Although gyral and sulcal patterns are highly heritable, and emerge in a tightly controlled sequence during development, very little is known about specific genetic contributions to abnormal gyrification or the resulting functional consequences. Williams syndrome (WS), a genetic disorder caused by hemizygous microdeletion on chromosome 7q11.23 and characterized by abnormal brain structure and striking cognitive (impairment in visuospatial construction) and behavioral (hypersocial/anxious) phenotypes, offers a unique opportunity to study these issues. We performed a detailed analysis of sulcal depth based on geometric cortical surface representations constructed from high-resolution magnetic resonance imaging scans acquired from participants with WS and from healthy controls who were matched for age, sex, and intelligence quotient, and compared between-group differences with those obtained from a voxel-based morphometry analysis. We found bilateral reductions in sulcal depth in the intraparietal/occipitoparietal sulcus (PS) in the brains of participants with WS, as well as in the collateral sulcus and the orbitofrontal region in the left hemisphere. The left-hemisphere PS in the WS group averaged 8.5 mm shallower than in controls. Sulcal depth findings in the PS corresponded closely to measures of reduced gray matter volume in the same area, providing evidence that the gray matter volume loss and abnormal sulcal geometry may be related. In the context of previous functional neuroimaging findings demonstrating functional alterations in the same cortical regions, our results further define the neural endophenotype underlying visuoconstructive deficits in WS, set the stage for defining the effects of specific genes, and offer insight into genetic mechanisms of cortical gyrification.

[1]  Pasko Rakic,et al.  Genetic Control of Cortical Convolutions , 2004, Science.

[2]  David C. Van Essen,et al.  Application of Information Technology: An Integrated Software Suite for Surface-based Analyses of Cerebral Cortex , 2001, J. Am. Medical Informatics Assoc..

[3]  R W Cox,et al.  AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.

[4]  Russell A. Epstein,et al.  The Parahippocampal Place Area Recognition, Navigation, or Encoding? , 1999, Neuron.

[5]  Ursula Bellugi,et al.  Williams syndrome: neuronal size and neuronal-packing density in primary visual cortex. , 2002, Archives of neurology.

[6]  Pasko Rakic,et al.  Developmental and evolutionary adaptations of cortical radial glia. , 2003, Cerebral cortex.

[7]  U Bellugi,et al.  Dorsal forebrain anomaly in Williams syndrome. , 2001, Archives of neurology.

[8]  K. Metcalfe Williams syndrome: an update on clinical and molecular aspects , 1999, Archives of disease in childhood.

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

[10]  R. Adolphs Cognitive neuroscience: Cognitive neuroscience of human social behaviour , 2003, Nature Reviews Neuroscience.

[11]  D. V. van Essen,et al.  A tension-based theory of morphogenesis and compact wiring in the central nervous system. , 1997, Nature.

[12]  T. Mikawa,et al.  Folding of the tectal cortex by local remodeling of neural differentiation , 2004, Developmental dynamics : an official publication of the American Association of Anatomists.

[13]  C. Mervis,et al.  Williams syndrome: cognition, personality, and adaptive behavior. , 2000, Mental retardation and developmental disabilities research reviews.

[14]  Marleen Verhoye,et al.  Targeted mutation of Cyln2 in the Williams syndrome critical region links CLIP-115 haploinsufficiency to neurodevelopmental abnormalities in mice , 2002, Nature Genetics.

[15]  A. Dale,et al.  Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.

[16]  Pasko Rakic,et al.  Neuroscience. Genetic control of cortical convolutions. , 2004, Science.

[17]  F. Gilles,et al.  Gyral development of the human brain. , 1977, Annals of Neurology.

[18]  P. Rakic Specification of cerebral cortical areas. , 1988, Science.

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

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

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

[22]  D. V. van Essen,et al.  Surface-based approaches to spatial localization and registration in primate cerebral cortex. , 2004, NeuroImage.

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

[24]  Ursula Bellugi,et al.  V. Multi-Level Analysis of Cortical Neuroanatomy in Williams Syndrome , 2000, Journal of Cognitive Neuroscience.

[25]  Stephan Eliez,et al.  Increased gyrification in Williams syndrome: evidence using 3D MRI methods. , 2002, Developmental medicine and child neurology.

[26]  Mark Noble,et al.  LIM-kinase1 Hemizygosity Implicated in Impaired Visuospatial Constructive Cognition , 1996, Cell.

[27]  C. Mervis,et al.  GTF2I hemizygosity implicated in mental retardation in Williams syndrome: Genotype–phenotype analysis of five families with deletions in the Williams syndrome region , 2003, American journal of medical genetics. Part A.

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

[29]  K Zilles,et al.  Cortical gyrification in the rhesus monkey: a test of the mechanical folding hypothesis. , 1991, Cerebral cortex.

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

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

[32]  Niels Galjart,et al.  LIMK1 and CLIP-115: linking cytoskeletal defects to Williams syndrome. , 2004, BioEssays : news and reviews in molecular, cellular and developmental biology.

[33]  J. Macdonald,et al.  Abnormal Spine Morphology and Enhanced LTP in LIMK-1 Knockout Mice , 2002, Neuron.

[34]  E. T. Bullmore,et al.  Genetic Contributions to Regional Variability in Human Brain Structure: Methods and Preliminary Results , 2002, NeuroImage.

[35]  R. Woods,et al.  Cortical change in Alzheimer's disease detected with a disease-specific population-based brain atlas. , 2001, Cerebral cortex.

[36]  J. Hoffman,et al.  Multiple Object Tracking in People With Williams Syndrome and in Normally Developing Children , 2005, Psychological science.

[37]  C A Morris,et al.  Williams syndrome and related disorders. , 2000, Annual review of genomics and human genetics.

[38]  Ursula Bellugi,et al.  Face and place processing in Williams syndrome: evidence for a dorsal-ventral dissociation , 2002, Neuroreport.

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

[40]  Carolyn B. Mervis,et al.  The Williams Syndrome Cognitive Profile , 2000, Brain and Cognition.

[41]  Arnold Kriegstein,et al.  Changing concepts of cortical development. , 2003, Cerebral cortex.

[42]  Stephen M Smith,et al.  Fast robust automated brain extraction , 2002, Human brain mapping.

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

[44]  K. Watanabe,et al.  Williams syndrome and deficiency in visuospatial recognition. , 2001, Developmental medicine and child neurology.

[45]  Brenna Argall,et al.  SUMA: an interface for surface-based intra- and inter-subject analysis with AFNI , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[46]  Alan C. Evans,et al.  Cortical thickness analysis examined through power analysis and a population simulation , 2005, NeuroImage.

[47]  Janette Atkinson,et al.  Neurobiological Models of Visuospatial Cognition in Children With Williams Syndrome: Measures of Dorsal-Stream and Frontal Function , 2003, Developmental neuropsychology.

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

[49]  D. Amaral,et al.  Perirhinal and parahippocampal cortices of the macaque monkey: Cortical afferents , 1994, The Journal of comparative neurology.

[50]  Dennis Velakoulis,et al.  Individual differences in anterior cingulate/paracingulate morphology are related to executive functions in healthy males. , 2004, Cerebral cortex.

[51]  Agatha D. Lee,et al.  Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome , 2005, The Journal of Neuroscience.

[52]  David C. Van Essen,et al.  Surface-based approaches to spatial localization and registration in primate cerebral cortex , 2004, NeuroImage.

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

[54]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[55]  Eileen Luders,et al.  Gender differences in cortical complexity , 2004, Nature Neuroscience.