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Diametrical relationship between gray and white matter volumes in autism spectrum disorder and schizophrenia

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Abstract

Autism spectrum disorders and schizophrenia have been variously characterized as separate nosological entities with overlapping deficits in social cognition or diametrical extremes of a phenotypic continuum. This study aimed to determine how these models apply to comparative morphometric data. MRI scans of the brain were obtained in 49 subjects with schizophrenia, 20 subjects with autism and 39 healthy controls. Images were parcellated into 40 Brodmann areas and entered into repeated-measures ANOVA for between-group comparison of global and localized gray and white matter volumes. A pattern of lower gray mater volumes and greater white matter volumes was found in subjects with schizophrenia in comparison to subjects with autism. For both gray and white matter, this pattern was most pronounced in regions associated with motor-premotor and anterior frontal cortex, anterior cingulate, fusiform, superior and middle temporal gyri. Patient groups tended to diverge from healthy controls in opposite directions, with greater-than-normal gray matter volumes and lower-than-normal white matter volumes in subjects with autism and reversed patterns in subjects with schizophrenia. White matter reductions in subjects with autism were seen in posterior frontal lobe and along the cingulate arch. Normal hemispheric asymmetry in the temporal lobe was effaced in subjects with autism and schizophrenia, especially in the latter. Nearly identical distribution of changes and diametrically divergent volumetry suggest that autism and schizophrenia may occupy opposite extremes of the same cognitive continuum.

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References

  • Abu-Akel, A. M., Apperly, I. A., Wood, S. J., Hansen, P. C. (2016). Autism and psychosis expressions diametrically modulate the right temporo-parietal junction. Social Neuroscience, 3, 1–13.

  • Andreasen, N., Flaum, M., & Arndt, S. (1992). The comprehensive assessment of symptoms and history (CASH). An instrument for assessing diagnosis and psychopathology. Archives of General Psychiatry, 49(8), 615–623.

    Article  CAS  PubMed  Google Scholar 

  • Asperger, H. (1944). Die “autistischen Psychopathen” im Kindesalter. Archiv für Psychiatrie und Nervenkrankheiten, 117(1), 76–136.

    Article  Google Scholar 

  • Baribeau, D. A., & Anagnostou, E. (2013). A comparison of neuroimaging findings in childhood onset schizophrenia and autism spectrum disorder: a review of the literature. Frontiers in Psychiatry, 4, 175.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bleuler, E. (1911). Dementia Praecox oder Gruppe der Schizophrenien. In G. Aschaffenburg (Ed.), Handbuch der Psychiatrie (pp. 1–420). Leipzig: Deuticke.

    Google Scholar 

  • Burbach, J. P. H., & van der Zwaag, B. (2009). Trends in Neurosciences, 32(2), 69–72.

    Article  CAS  PubMed  Google Scholar 

  • Burns, J. (2006). The social brain hypothesis of schizophrenia. World Psychiatry, 5(2), 77–81.

    PubMed  PubMed Central  Google Scholar 

  • Carroll, L., & Owen, M. J. (2009). Genetic overlap between autism, schizophrenia and bipolar disorder. Genome Medicine, 1(10), 102.

    Article  PubMed  PubMed Central  Google Scholar 

  • Cheung, C., Yu, K., Fung, G., Leung, M., Wong, C., Li, Q., Sham, P., Chua, S., & McAlonan, G. (2010). Autistic disorders and schizophrenia: related or remote? An anatomical likelihood estimation. PloS One, 5(8), 2010.

    Article  Google Scholar 

  • Chung, M. K., Dalton, K. M., Alexander, A. L., & Davidson, R. J. (2004). Less white matter concentration in autism: 2D voxel-based morphometry. NeuroImage, 23(1), 242–251.

    Article  PubMed  Google Scholar 

  • Ciaramidaro, A., Bölte, S., Schlitt, S., Hainz, D., Poustka, F., Weber, B., Bara, B. G., Freitag, C., & Walter, H. (2015). Schizophrenia and autism as contrasting minds: neural evidence for the hypo-hyper-intentionality hypothesis. Schizophrenia Bulletin, 41(1), 171–179.

    Article  PubMed  Google Scholar 

  • Craddock, N., & Owen, M. J. (2010). The Kraepelinian dichotomy – going, going… but still not gone. British Journal of Psychiatry, 196(2), 92–95.

    Article  PubMed  PubMed Central  Google Scholar 

  • Crespi, B., & Badcock, C. (2008). Psychosis and autism as diametrical disorders of the social brain. Behavioral and Brain Sciences, 31(3), 241–161.

    PubMed  Google Scholar 

  • Crespi, B. J., & Go, M. C. (2015). Diametrical diseases reflect evolutionary-genetic tradeoffs: evidence from psychiatry, neurology, rheumatology, oncology and immunology. Evolution, Medicine and Public Health, 2015(1), 216–253.

    Article  Google Scholar 

  • Crespi, B., Stead, P., & Elliot, M. (2010). Comparative genomics of autism and schizophrenia. Proceedings of the National Academy of Sciences of the United States of America, 107(Suppl 1), 1736–1741.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Crow, T. J. (2000). Schizophrenia as the price that Homo sapiens pays for language: a resolution of the central paradox in the origin of the species. Brain Research. Brain Research Reviews, 31(2–3), 118–129.

    Article  CAS  PubMed  Google Scholar 

  • De Fossé, L., Hodge, S. M., Makris, N., Kennedy, D. N., Caviness Jr., V. S., McGrath, L., Steele, S., Ziegler, D. A., Herbert, M. R., Frazier, J. A., Tager-Flusberg, H., & Harris, G. J. (2004). Language-association cortex asymmetry in autism and specific language impairment. Annals of Neurology, 56(6), 757–766.

    Article  PubMed  Google Scholar 

  • Domen, P., Peeters, S., Michielse, S., Gronenschild, E., Viechtbauer, W., Roebroeck, A., van Os, J., Marcelis, M. (2016). Differential time course of microstructural white matter in patients with psychotic disorder and individuals at risk: A 3-year follow-up study. Schizophrenia Bulletin, in press.

  • Fukushima, J. (2012). Neurobiological studies in autism spectrum disorders – comparison with those in schizophrenia. Seishin Shinkeigaku Zasshi, 114(4), 335–348.

    PubMed  Google Scholar 

  • Goel, V., Gold, B., Kapur, S., & Houle, S. (1997). The seats of reason? An imaging study of deductive and inductive reasoning. Neuroreport, 8(5), 1305–1310.

    Article  CAS  PubMed  Google Scholar 

  • Haznedar, M. M., Buchsbaum, M. S., Hazlett, E. A., LiCalzi, E. M., Cartwright, C., & Hollander, E. (2006). Volumetric analysis and three-dimensional glucose metabolic mapping of the striatum and thalamus in patients with autism spectrum disorders. American Journal of Psychiatry, 163(7), 1252–1263.

    Article  PubMed  Google Scholar 

  • Herbert, M. R., Harris, G. J., Adrien, K. T., Makris, N., Kennedy, D. N., Lange, N. T., Chabris, C. F., Bakardjiev, A., Hodgson, J., Takeoka, M., Tager-Flusberg, H., & Caviness Jr., V. S. (2002). Abnormal asymmetry in language association cortex in autism. Annals of Neurology, 52(5), 588–596.

    Article  PubMed  Google Scholar 

  • Herbert, M. R., Ziegler, D. A., Deutsch, C. K., O’Brien, L. M., Kennedy, D. N., Filipek, P. A., Bakardjiev, A. I., , Hodgson, J., Takeoka, M., Makris, N., Caviness, V. S. Jr. (2005). Brain asymmetries in autism and developmental language disorder: a nested whole-brain analysis. Brain, 128 (1), 213–226.

    Article  CAS  PubMed  Google Scholar 

  • Hier, D. B., LeMay, M., & Rosenberger, P. B. (1979). Autism and unfavorable left-right asymmetries of the brain. Journal of Autism and Developmental Disorders, 9(2), 153–159.

    Article  CAS  PubMed  Google Scholar 

  • Hollander, E., Anagnostou, E., Chaplin, W., Esposito, K., Haznedar, M. M., LiCalzi, E., Wasserman, S., Soorya, L., & Buchabsum, M. S. (2005). Striatal volume on magnetic resonance imaging and repetitive behaviors in autism. Biological Psychiatry, 58(3), 226–232.

    Article  PubMed  Google Scholar 

  • Ivleva, E. I., Bidesi, A. S., Thomas, B. P., Meda, S. A., Francis, A., Moates, A. F., Witte, B., Keshavan, M. S., & Tamminga, C. A. (2012). Brain gray matter phenotypes across the psychosis dimension. Psychiatry Research, 204(1), 13–24.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jensen, A. R. (2011). The theory of intelligence and its measurement. Intelligence, 39(4), 171–177.

    Article  Google Scholar 

  • Kanner, L. (1943). Autistic disturbances of affective contact. The Nervous Child, 2, 217–250.

    Google Scholar 

  • Katz, J., d’Albis, M.-A., Boisgontier, J., Poupon, C., Mangin, J.-F., Guevara, P., Duclap, D., Hamdani, N., Petit, J., Monnet, D., Le Corvoisier, P., Leboyer, M., Delorme, R., & Houenou, J. (2016). Similar white matter but opposite grey matter changes in schizophrenia and high-functioning autism. Acta Psychiatrica Scandinavica, 134(1), 31–39.

    Article  CAS  PubMed  Google Scholar 

  • Khan, S., Michmizos, K., Tommerdahl, M., Ganesan, S., Kitzbichler, M. G., Zetino, M., Garel, K. L., Herbert, M. R., Hämäläinen, M. S., & Kenet, T. (2015). Somatosensory cortex functional connectivity abnormalities in autism show opposite trends, depending on direction and spatial scale. Brain, 138(5), 1394–1409.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lanzilotto, M., Perciavalle, V., & Lucchetti, C. (2013). Auditory and visual systems organization in Brodmann area 8 for gaze-shift control: where we do not see, we can hear. Frontiers in Behavioral Neuroscience, 7, 198.

    Article  PubMed  PubMed Central  Google Scholar 

  • Levitt, J. J., Bobrow, L., Lucia, D., & Srinivasan, P. (2010). A selective review of volumetric and morphometric imaging in schizophrenia. Current Topics in Behavioral Neurosciences, 4, 243–281.

    Article  PubMed  Google Scholar 

  • Lugnegård, T., Unenge Hallerbäck, M., Hjärthag, F., & Gillberg, C. (2013). Social cognition impairment in Asperger syndrome and schizophrenia. Schizophrenia Research, 143(2–3), 277–284.

    Article  PubMed  Google Scholar 

  • Manouilenko, I., & Bejerot, S. (2015). Sukhareva – prior to Asperger and Kanner. Nordic Journal of Psychiatry, 69(6), 479–482.

    Article  PubMed  Google Scholar 

  • Mitelman, S. A., Buchsbaum, M. S., Brickman, A. M., & Shihabuddin, L. (2005). Cortical intercorrelations of frontal area volumes in schizophrenia. NeuroImage, 26, 753–770.

    Article  Google Scholar 

  • Mitelman, S. A., Brickman, A. M., Shihabuddin, L., Newmark, R. E., Hazlett, E. A., Haznedar, M. M., & Buchsbaum, M. S. (2007). A comprehensive assessment of gray and white matter volumes and their relationship to outcome and severity in schizophrenia. NeuroImage, 37(2), 449–462.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mitelman, S. A., Canfield, E. L., Chu, K.-W., Brickman, A. M., Shihabuddin, L., Hazlett, E. A., & Buchsbaum, M. S. (2009a). Poor outcome in chronic schizophrenia is associated with progressive loss of volume of the putamen. Schizophrenia Research, 113(2–3), 241–245.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mitelman, S. A., Canfield, E. L., Newmark, R. E., Brickman, A. M., Torosjan, Y., Chu, K.-W., Hazlett, E. A., Haznedar, M. M., Shihabuddin, L., & Buchsbaum, M. S. (2009b). Longitudinal assessment of gray and white matter in chronic schizophrenia: a combined diffusion-tensor and structural magnetic resonance imaging study. Open Neuroimaging Journal, 3, 31–47.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mitelman, S. A., Nikiforova, Y. K., Canfield, E. L., Hazlett, E. A., Brickman, A. M., Shihabuddin, L., & Buchsbaum, M. S. (2009c). Schizophrenia Research, 114(1–3), 144–153.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mitelman, S. A., Canfield, E. L., Brickman, A. M., Shihabuddin, L., Hazlett, E. A., & Buchsbaum, M. S. (2010). Progressive ventricular expansion in chronic poor-outcome schizophrenia. Cognitive and Behavioral Neurology, 23(2), 85–88.

    Article  PubMed  Google Scholar 

  • Nomi, J. S., & Uddin, L. Q. (2015). Face processing in autism spectrum disorders: from brain regions to brain networks. Neuropsychologia, 71, 201–216.

    Article  PubMed  PubMed Central  Google Scholar 

  • Oertel-Knöchel, V., & Linden, D. E. (2011). Cerebral asymmetry in schizophrenia. The Neuroscientist, 17(5), 456–467.

    Article  PubMed  Google Scholar 

  • Parnas, J., Bovet, P., & Zahavi, D. (2002). Schizophrenic autism: clinical phenomenology and pathogenetic implications. World Psychiatry, 1(3), 131–136.

    PubMed  PubMed Central  Google Scholar 

  • Price, C. J. (2012). A review and synthesis of the first 20 years of PET and fMRI studies of heard speech, spoken language and reading. NeuroImage, 62(2), 816–847.

    Article  PubMed  PubMed Central  Google Scholar 

  • Radeloff, D., Ciaramidaro, A., Siniatchkin, M., Hainz, D., Schlitt, S., Weber, B., Poustka, F., Bölte, S., Walter, H., & Freitag, C. M. (2014). Structural alterations of the social brain: a comparison between schizophrenia and autism. PloS One, 9(9), e106539.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rapoport, J., Chavez, A., Greenstein, D., Addington, A., & Gogtay, N. (2009). Autism-spectrum disorders and childhood onset schizophrenia: clinical and biological contributions to a relationship revisited. Journal of the American Academy of Child and Adolescent Psychiatry, 48(1), 10–18.

    Article  PubMed  PubMed Central  Google Scholar 

  • Riddle, K., Cascio, C. J., Woodward, N. D. (2016). Brain structure in autism: A voxel-based morphometry analysis of the autism brain imaging database exchange (ABIDE). Brain Imaging and Behavior, in press.

  • Russell-Smith, S. M., Maybery, M. T., & Bayliss, D. M. (2010). Are the autism and positive schizotypy spectra diametrically opposed in local versus global processing? Journal of Autism and Developmental Disorders, 40(8), 968–977.

    Article  PubMed  Google Scholar 

  • Russell-Smith, S. N., Bayliss, D. M., Maybery, M. T., & Tomkinson, R. L. (2013). Are the autism and positive schizotypy spectra diametrically opposed in empathizing and systemizing? Journal of Autism and Developmental Disorders, 43(3), 695–706.

    Article  PubMed  Google Scholar 

  • Sasson, N. J., Pinkham, A. E., Carpenter, K. L. H., & Belger, A. (2010). The benefits of directly comparing autism and schizophrenia for revealing mechanisms of social cognitive impairment. Journal of Neurodevelopmental Disorders, 3(2), 87–100.

    Article  PubMed  PubMed Central  Google Scholar 

  • Satterthwaite, T. D., Wolf, D. H., Calkins, M. E., Vandekar, S. N., Erus, G., Ruparel, K., Roalf, D. R., Linn, K. A., Elliott, M. A., Moore, T. M., Hakonarson, H., Shinohara, R. T., Davarzikos, C., Gur, R. C., & Gur, R. E. (2016). Structural brain abnormalities in youth with psychosis spectrum. JAMA Psychiatry, 73(5), 515–524.

    Article  PubMed  PubMed Central  Google Scholar 

  • Shenton, M. E., Whitford, T. J., & Kubicki, M. (2010). Structural neuroimaging in schizophrenia: from methods to insights to treatments. Dialogues in Clinical Neuroscience, 12(3), 317–332.

    PubMed  PubMed Central  Google Scholar 

  • Sheppard, L. D., & Vernon, P. A. (2008). Intelligence and speed of information-processing: a review of 50 years of research. Personality and Individual Differences, 44(3), 535–551.

    Article  Google Scholar 

  • Ssucharewa, G. E. (1926). Die schizoiden Psychopathien im Kindesalter. Monatsschrift für Psychiatrie und Neurologie, 60, 235–261.

    Article  Google Scholar 

  • Stigler, K. A., McDonald, B. C., Anand, A., Saykin, A. J., & McDougle, C. J. (2011). Structural and functional magnetic resonance imaging of autism spectrum disorders. Brain Research, 1380, 146–161.

    Article  CAS  PubMed  Google Scholar 

  • Sugranyes, G., Kyriakopoulos, M., Corrigall, R., Taylor, E., & Frangou, S. (2011). Autism spectrum disorders and schizophrenia: meta-analysis of the neural correlates of social cognition. PloS One, 6(10).

  • Van Overwalle, F., & Baetens, K. (2009). Understanding others’ actions and goals by mirror and mentalizing systems: a meta-analysis. NeiroImage, 48(3), 564–584.

    Article  Google Scholar 

  • Via, E., Radua, J., Cardoner, N., Happé, F., & Mataix-Cols, D. (2011). Meta-analysis of gray matter abnormalities in autism spectrum disorder: should Asperger disorder be subsumed under a broader umbrella of autistic spectrum disorder? Archives of General Psychiatry, 68(4), 409–418.

    Article  PubMed  Google Scholar 

  • Wee, C. Y., Wang, L., Shi, F., Yap, P. T., & Shen, D. (2014). Diagnosis of autism spectrum disorders using regional and interregional morphological features. Human Brain Mapping, 35(7), 3414–3430.

    Article  PubMed  Google Scholar 

  • Wolff, S. (1996). The first account of the syndrome Asperger described? Translation of a paper entitled “die schizoiden Psychopathien im Kindesalter by Dr. G. E. Ssucharewa; scientific assistant”, which appeared in 1926 in the Monatsschrift für Psychiatrie und Neurologie 60:235–261. European Child and Adolescent Psychiatry, 5(3), 119–132.

    Article  PubMed  Google Scholar 

  • Woods, R. P., Mazziotta, J. C., & Cherry, S. R. (1993). MRI-PET registration with automated algorithm. Journal of Computer Assisted Tomography, 17(4), 536–546.

    Article  CAS  PubMed  Google Scholar 

  • Yahata, N., Morimoto, J., Hashimoto, R., Lisi, G., Shibata, K., Kawakubo, Y., Kuroda, M., Yamada, T., Megumi, F., Imamizu, H., Nañez Sr., J. E., Takahashi, H., Okamoto, Y., Kasai, K., Kato, N., Sasaki, Y., Wanatabe, T., & Kawato, M. (2016). A small number of abnormal brain connections predicts adult autism spectrum disorder. Nature Communications, 14(7), 11254.

    Article  Google Scholar 

  • Yang, X., Si, T., Gong, Q., Qui, L., Jia, Z., Zhou, M., Zhao, Y., Hu, X., Wu, M., & Zhu, H. (2016). Brain gray matter alterations and associated demographic profiles in adults with autism spectrum disorder: a meta-analysis of voxel-based morphometry studies. Australian and New Zealand Journal of Psychiatry, 50(8), 741–753.

    Article  PubMed  Google Scholar 

  • Zhang, Y., Brady, M., & Smith, S. (2001). Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Transactions on Medical Imaging, 20, 45–57.

    Article  CAS  PubMed  Google Scholar 

  • Zhou, Y., Yu, F., & Duong, T. (2014). Multiparametric MRI characterization and prediction in autism spectrum disorder using theory and machine learning. PloS One, 9(6).

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Acknowledgments

This work was supported by NARSAD Young Investigator Award and NIMH MH 077146 grant to Serge A. Mitelman and by NIMH grants P50 MH 66392-01, MH 60023, and MH 56489 to Monte S. Buchsbaum.

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Correspondence to Serge A. Mitelman.

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All procedures performed in this study were in accordance with the ethical standards of the Mount Sinai institutional research committee, as well as with the 1964 Helsinki declaration and its later amendments. The project was approved by the institutional review board of The Icahn School of Medicine at Mount Sinai.

Sources of supports

This work was partly supported by NARSAD Young Investigator Award and NIMH MH 077146 grant to Serge A. Mitelman and by NIMH grants P50 MH 66392–01, MH 60023, and MH 56489 to Monte S. Buchsbaum.

Conflict of interest

Author Serge A. Mitelman declares that he has no conflict of interest to report.

Author Marie-Cecile Bralet declares that she has no conflict of interest to report.

Author M. Mehmet Haznedar declares that he has no conflict of interest to report.

Author Eric Hollander has received consultation fees from Transceit, Neuropharm, and Nastech.

Author Lina Shihabuddin declares that she has no conflict of interest to report.

Author Erin A. Hazlett declares that she has no conflict of interest to report.

Author Monte S. Buchsbaum declares that he has no conflict of interest to report.

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Mitelman, S.A., Bralet, MC., Haznedar, M.M. et al. Diametrical relationship between gray and white matter volumes in autism spectrum disorder and schizophrenia. Brain Imaging and Behavior 11, 1823–1835 (2017). https://doi.org/10.1007/s11682-016-9648-9

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