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Brainstem volumetric alterations in children with autism

Published online by Cambridge University Press:  24 September 2008

R. J. Jou ,
N. J. Minshew ,
N. M. Melhem ,
M. S. Keshavan  and
A. Y. Hardan
R. J. Jou
Affiliation:
Child Study Center and Investigative Medicine Program, Yale University School of Medicine, New Haven, CT, USA
N. J. Minshew
Affiliation:
Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
N. M. Melhem
Affiliation:
Department of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
M. S. Keshavan
Affiliation:
Department of Psychiatry, Beth Israel and Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
A. Y. Hardan*
Affiliation:
Department of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, CA, USA
*
*Address for correspondence: A. Y. Hardan, M.D., Department of Psychiatry and Behavioral Science, Stanford University School of Medicine, 401 Quarry Road, Stanford, CA 94305, USA. (Email: [email protected])
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Abstract

Background

Although several studies have examined brainstem volume in autism, results have been mixed and no investigation has specifically measured gray- and white-matter structures. The aim of this investigation was to assess gray- and white-matter volumes in children with autism.

Method

Subjects included 22 right-handed, non-mentally retarded boys with autism and 22 gender- and age-matched controls. Magnetic resonance imaging (MRI) scans were obtained using a 1.5-T scanner and volumetric measurements were performed using the BRAINS2 software package. Gray- and white-matter volumes were measured using a semi-automated segmentation process.

Results

There were no significant differences in age and total brain volume (TBV) between the two groups but full-scale IQ was higher in controls. A decrease in brainstem gray-matter volume was observed in the autism group before and after controlling for TBV. No significant differences were observed in white-matter volume. A significant relationship was observed between brainstem gray-matter volume and oral sensory sensitivity as measured by the Sensory Profile Questionnaire (SPQ).

Conclusions

Findings from this study are suggestive of brainstem abnormalities in autism involving gray-matter structures with evidence supporting the existence of a relationship between these alterations and sensory deficits. These results are consistent with previous investigations and support the existence of disturbances in brainstem circuitry thought to be implicated in the sensory dysfunction observed in autism.

Keywords

MRIpervasive developmental disordersensory
Type
Original Articles
Information
Psychological Medicine , Volume 39 , Issue 8 , August 2009 , pp. 1347 - 1354
Copyright
Copyright © 2008 Cambridge University Press

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References

APA (2000). Diagnostic and Statistical Manual of Mental Disorders, 4th edn, text revision (DSM-IV-TR). American Psychiatric Association: Washington, DC.Google Scholar
Bailey, A, Luthert, P, Dean, A, Harding, B, Janota, I, Montgomery, M, Rutter, M, Lantos, P (1998). A clinicopathological study of autism. Brain 121, 889–905.CrossRefGoogle ScholarPubMed
Bandim, JM, Ventura, LO, Miller, MT, Almeida, HC, Costa, AE (2003). Autism and Möbius sequence: an exploratory study of children in northeastern Brazil. Arquivos de Neuro-psiquiatria 61, 181–185.CrossRefGoogle ScholarPubMed
Bauman, M, Kemper, TL (1985). Histoanatomic observations of the brain in early infantile autism. Neurology 35, 866–874.CrossRefGoogle ScholarPubMed
Ciesielski, KT, Harris, RJ, Hart, BL, Pabst, HF (1997). Cerebellar hypoplasia and frontal lobe cognitive deficits in disorders of early childhood. Neuropsychologia 35, 643–655.CrossRefGoogle ScholarPubMed
Cody, H, Pelphrey, K, Piven, J (2002). Structural and functional magnetic resonance imaging of autism. International Journal of Developmental Neuroscience 20, 421–438.CrossRefGoogle ScholarPubMed
Dunn, W (1999). Sensory Profile. Psychological Corporation: San Antonio, TX.Google Scholar
Elia, M, Ferri, R, Musumeci, SA, Panerai, S, Bottitta, M, Scuderi, C (2000). Clinical correlates of brain morphometric features of subjects with low-functioning autistic disorder. Journal of Child Neurology 15, 504–508.CrossRefGoogle ScholarPubMed
Gaffney, GR, Kuperman, S, Tsai, LY, Minchin, S (1988). Morphological evidence for brainstem involvement in infantile autism. Biological Psychiatry 24, 578–586.CrossRefGoogle ScholarPubMed
Garber, HJ, Ritvo, ER (1992). Magnetic resonance imaging of the posterior fossa in autistic adults. American Journal of Psychiatry 149, 245–247.Google ScholarPubMed
Happe, FG (1994). Wechsler IQ profile and theory of mind in autism: a research note. Journal of Child Psychology and Psychiatry 35, 1461–1471.CrossRefGoogle ScholarPubMed
Hardan, AY, Minshew, NJ, Harenski, K, Keshavan, MS (2001). Posterior fossa magnetic resonance imaging in autism. Journal of the American Academy of Child and Adolescent Psychiatry 40, 666–672.CrossRefGoogle ScholarPubMed
Hashimoto, T, Tayama, M, Murakawa, K, Yoshimoto, T, Miyazaki, M, Harada, M, Kuroda, Y (1995). Development of the brainstem and cerebellum in autistic patients. Journal of Autism and Developmental Disorders 25, 1–18.CrossRefGoogle ScholarPubMed
Herbert, MR, Ziegler, DA, Deutsch, CK, O'Brien, LM, Lange, N, Bakardjiev, A, Hodgson, J, Adrien, KT, Steele, S, Makris, N, Kennedy, D, Harris, GJ, Caviness, VS (2003). Dissociations of cerebral cortex, subcortical and cerebral white matter volumes in autistic boys. Brain 126, 1182–1192.CrossRefGoogle ScholarPubMed
Hobson, RP (1991). Methodological issues for experiments on autistic individuals' perception and understanding of emotion. Journal of Child Psychology and Psychiatry 32, 1135–1158.CrossRefGoogle ScholarPubMed
Hollingshead, AB (1975). Four Factor Index of Social Status. Yale University Department of Sociology: New Haven, CT.Google Scholar
Hsu, M, Yeung-Courchesne, R, Courchesne, E, Press, GA (1991). Absence of magnetic resonance imaging evidence of pontine abnormality in infantile autism. Archives of Neurology 48, 1160–1163.CrossRefGoogle ScholarPubMed
Jarrold, C, Brock, J (2004). To match or not to match? Methodological issues in autism-related research. Journal of Autism and Developmental Disorders 34, 81–86.CrossRefGoogle ScholarPubMed
Jastak, S, Wilkinson, JS (1985). The Wide Range Achievement Test-Revised. Jastak Associates: Wilmington, DE.Google Scholar
Joseph, RM, Tager-Flusberg, H, Lord, C (2002). Cognitive profiles and social-communicative functioning in children with autism spectrum disorder. Journal of Child Psychology and Psychiatry 43, 807–821.CrossRefGoogle ScholarPubMed
Kaufman, J, Birmaher, B, Brent, D, Rao, U, Flynn, C, Moreci, P, Williamson, D, Ryan, N (1997). Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): initial reliability and validity data. Journal of the American Academy of Child and Adolescent Psychiatry 36, 980–988.CrossRefGoogle ScholarPubMed
Kleiman, MD, Neff, S, Rosman, NP (1992). The brain in infantile autism: are posterior fossa structures abnormal? Neurology 42, 753–760.CrossRefGoogle ScholarPubMed
Klin, A (1993). Auditory brainstem responses in autism: brainstem dysfunction or peripheral hearing loss? Journal of Autism and Developmental Disorders 23, 15–35.CrossRefGoogle ScholarPubMed
Lord, C, Rutter, M, Goode, S, Heemsbergen, J, Jordan, H, Mawhood, L, Schopler, E (1989). Autism Diagnostic Observation Schedule: a standardized observation of communicative and social behavior. Journal of Autism and Developmental Disorders 19, 185–212.CrossRefGoogle ScholarPubMed
Lord, C, Rutter, M, LeCouteur, A (1994). Autism Diagnostic Interview – Revised: a revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders 24, 659–685.CrossRefGoogle ScholarPubMed
Magnotta, VA, Harris, G, Andreasen, NC, O'Leary, DS, Yuh, WT, Heckel, D (2002). Structural MR image processing using the BRAINS2 toolbox. Computerized Medical Imaging and Graphics 26, 251–264.CrossRefGoogle ScholarPubMed
Miller, MT, Ventura, L (2001). Moebius syndrome/sequence: a summary of a Brazil study. Teratology 63, 260.Google Scholar
Nolte, J (2002). Human Brain: An Introduction to its Functional Anatomy. Mosby: St Louis, MO.Google Scholar
Ornitz, EM (1983). The functional neuroanatomy of infantile autism. International Journal of Neuroscience 19, 85–124.CrossRefGoogle ScholarPubMed
Pfaendner, NH, Reuner, G, Pietz, J, Jost, G, Rating, D, Magnotta, VA, Mohr, A, Kress, B, Sartor, K, Hahnel, S (2005). MR imaging-based volumetry in patients with early-treated phenylketonuria. American Journal of Neuroradiology 26, 1681–1685.Google ScholarPubMed
Pickett, J, London, E (2005). The neuropathology of autism: a review. Journal of Neuropathology and Experimental Neurology 64, 925–935.CrossRefGoogle ScholarPubMed
Piven, J, Nehme, E, Simon, J, Barta, P, Pearlson, G, Folstein, SE (1992). Magnetic resonance imaging in autism: measurement of the cerebellum, pons, and fourth ventricle. Biological Psychiatry 31, 491–504.CrossRefGoogle ScholarPubMed
Rodier, PM (2002). Converging evidence for brain stem injury in autism. Development and Psychopathology 14, 537–557.CrossRefGoogle ScholarPubMed
Rodier, PM, Ingram, JL, Tisdale, B, Nelson, S, Romano, J (1996). Embryological origin for autism: developmental anomalies of the cranial nerve motor nuclei. Journal of Comparative Neurology 370, 247–261.3.0.CO;2-2>CrossRefGoogle ScholarPubMed
Sears, LL, Finn, PR, Steinmetz, JE (1994). Abnormal classical eye-blink conditioning in autism. Journal of Autism and Developmental Disorders 24, 737–751.CrossRefGoogle ScholarPubMed
Skoyles, JR (2002). Is autism due to cerebral–cerebellum disconnection? Medical Hypotheses 58, 332–336.CrossRefGoogle ScholarPubMed
Stromland, K, Nordin, V, Miller, M, Akerstrom, B, Gillberg, C (1994). Autism in thalidomide embryopathy: a population study. Developmental Medicine and Child Neurology 36, 351–356.CrossRefGoogle ScholarPubMed
Talairach, J, Tournoux, P (1988). Co-Planar Stereotaxic Atlas of the Human Brain: Three-Dimensional Proportional System. Thieme Medical: New York.Google Scholar
Volkmar, FR, Cohen, DJ, Paul, R, Klin, A (2005). Handbook of Autism and Pervasive Developmental Disorders. John Wiley & Sons: Hoboken, NJ.Google Scholar
Wechsler, D (1991). Wechsler Intelligence Scale for Children – Third Edition. Psychological Corporation: San Antonio, TX.Google Scholar
White, T, Andreasen, NC, Nopoulos, P, Magnotta, V (2003). Gyrification abnormalities in childhood- and adolescent-onset schizophrenia. Biological Psychiatry 54, 418–426.CrossRefGoogle ScholarPubMed