Differences in brain structure in deaf persons on MR imaging studied with voxel-based morphometry.

BACKGROUND AND PURPOSE The loss of a major sensory input early in life is known to cause alterations in neuronal connectivity and physiology at the cellular level, but effects on gross anatomy are less well understood. The purpose of this study was to compare volumetric structural brain MR imaging scans of deaf versus hearing subjects by using voxel-based morphometry (VBM). The hypothesis was that the deaf would have relative hypoplasia in the temporal lobe centers involved in hearing and speech. METHODS T1-weighted volumetric images from 53 prelingually deaf persons and 51 control subjects were analyzed with VBM. Initial segmentations were spatially normalized, and then these deformation parameters were applied to the original images, which were again segmented. Statistic parametric mapping was then applied on a voxel-by-voxel basis to determine group differences and asymmetries. RESULTS The white matter analysis revealed a statistically significant focal deficit in the deaf persons in the left posterior superior temporal gyrus (STG), corresponding to white matter inferior to auditory cortex. Gray matter asymmetries in the deaf persons were overall similar to that in hearing persons but a focal loss of asymmetry was noted in the posterior STG white matter in the deaf persons. CONCLUSION These results support the hypothesis that there are gross alterations in brain anatomy as a consequence of early deafness. The white matter deficit in the posterior left superior temporal gyrus may represent hypoplasia of the auditory/speech related tracts. Hemispheric asymmetries however remain largely intact.

[1]  Lutz Jäncke,et al.  A voxel-based approach to gray matter asymmetries , 2004, NeuroImage.

[2]  Thomas E. Nichols,et al.  Controlling the familywise error rate in functional neuroimaging: a comparative review , 2003, Statistical methods in medical research.

[3]  Ione Fine,et al.  Visual stimuli activate auditory cortex in the deaf , 2001, Nature Neuroscience.

[4]  Edmund Kwok,et al.  Temporal lobe perfusion in the deaf: MR measurement with pulsed arterial spin labeling (FAIR). , 2006, Academic radiology.

[5]  Mark A. Eckert,et al.  Anatomical Signatures of Dyslexia in Children: Unique Information from Manual and Voxel Based Morphometry Brain Measures , 2005, Cortex.

[6]  W. Hopkins,et al.  Cerebral volumetric asymmetries in non-human primates: A magnetic resonance imaging study , 2001, Laterality.

[7]  M. Svirsky,et al.  Development of Language and Speech Perception in Congenitally, Profoundly Deaf Children as a Function of Age at Cochlear Implantation , 2004, Audiology and Neurotology.

[8]  A. Damasio,et al.  Sign language aphasia during left-hemisphere Amytal injection , 1986, Nature.

[9]  Gregory Hickok,et al.  Visual stimuli activate auditory cortex in deaf subjects: evidence from MEG , 2003, Neuroreport.

[10]  Vickie Thomson,et al.  The Colorado newborn hearing screening project, 1992-1999: on the threshold of effective population-based universal newborn hearing screening. , 2002, Pediatrics.

[11]  D Perani,et al.  Diffusion tensor imaging and voxel based morphometry study in early progressive supranuclear palsy , 2005, Journal of Neurology, Neurosurgery & Psychiatry.

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

[13]  Andrew Kertesz,et al.  Sex, handedness, and the morphometry of cerebral asymmetries on magnetic resonance imaging , 1990, Brain Research.

[14]  Jae Sung Lee,et al.  Age-associated changes of cerebral glucose metabolic activity in both male and female deaf children: parametric analysis using objective volume of interest and voxel-based mapping , 2004, NeuroImage.

[15]  Karen Emmorey,et al.  Neural Systems Underlying Spatial Language in American Sign Language , 2002, NeuroImage.

[16]  E. Altenmüller,et al.  The musician's brain as a model of neuroplasticity , 2002, Nature Reviews Neuroscience.

[17]  U Bellugi,et al.  Brain organization for language: clues from sign aphasia. , 1983, Human neurobiology.

[18]  Geraldo F. Busatto,et al.  Regional Gray Matter Abnormalities in Obsessive-Compulsive Disorder: A Voxel-Based Morphometry Study , 2005, Biological Psychiatry.

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

[20]  Andrew Kertesz,et al.  Cerebral Asymmetries on Magnetic Resonance Imaging , 1986, Cortex.

[21]  J L Lancaster,et al.  Automated Talairach Atlas labels for functional brain mapping , 2000, Human brain mapping.

[22]  John K. Niparko,et al.  Effect of Adult-Onset Deafness on the Human Central Auditory System , 1997, The Annals of otology, rhinology, and laryngology.

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

[24]  J. D. Bonvillian,et al.  Handedness patterns in deaf persons , 1982, Brain and Cognition.

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

[26]  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.

[27]  T. Crow,et al.  Handedness, language lateralisation and anatomical asymmetry: relevance of protocadherin XY to hominid speciation and the aetiology of psychosis , 2002, British Journal of Psychiatry.

[28]  Carl-Fredrik Westin,et al.  High-resolution line scan diffusion tensor MR imaging of white matter fiber tract anatomy. , 2002, AJNR. American journal of neuroradiology.

[29]  V. Calhoun,et al.  Voxel-based morphometry versus region of interest: a comparison of two methods for analyzing gray matter differences in schizophrenia , 2005, Schizophrenia Research.

[30]  Alberto Beltramello,et al.  A comparison between the accuracy of voxel‐based morphometry and hippocampal volumetry in Alzheimer's disease , 2004, Journal of magnetic resonance imaging : JMRI.

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

[32]  J. Ito,et al.  Relationship between cochlear implant outcome and the diameter of the cochlear nerve depicted on MRI , 2004, Acta oto-laryngologica. Supplementum.

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

[34]  Jae Sung Lee,et al.  PET evidence of neuroplasticity in adult auditory cortex of postlingual deafness. , 2003, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[35]  Myoung-Nam Kim,et al.  Auditory neural pathway evaluation on sensorineural hearing loss using diffusion tensor imaging , 2004, Neuroreport.

[36]  D Bavelier,et al.  Cerebral organization for language in deaf and hearing subjects: biological constraints and effects of experience. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[37]  Robert J Zatorre,et al.  The morphometry of auditory cortex in the congenitally deaf measured using MRI , 2003, NeuroImage.

[38]  Karl J. Friston,et al.  Why Voxel-Based Morphometry Should Be Used , 2001, NeuroImage.

[39]  Larry Gates,et al.  Distinct and shared cortical regions of the human brain activated by pictorial depictions versus verbal descriptions: an fMRI study , 2005, NeuroImage.

[40]  Allen R. Braun,et al.  Language Lateralization in a Bimanual Language , 2003, Journal of Cognitive Neuroscience.

[41]  Hanna Damasio,et al.  A morphometric analysis of auditory brain regions in congenitally deaf adults , 2003, Proceedings of the National Academy of Sciences of the United States of America.

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

[43]  P. Morosan,et al.  Probabilistic Mapping and Volume Measurement of Human Primary Auditory Cortex , 2001, NeuroImage.

[44]  Emma J. Burton,et al.  A comprehensive study of gray matter loss in patients with Alzheimer’s disease using optimized voxel-based morphometry , 2003, NeuroImage.