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Increased white matter metabolic rates in autism spectrum disorder and schizophrenia

  • Serge A. Mitelman
  • , Monte S. Buchsbaum
  • , Derek S. Young
  • , M. Mehmet Haznedar
  • , Eric Hollander
  • , Lina Shihabuddin
  • , Erin A. Hazlett
  • , Marie Cecile Bralet

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Both autism spectrum disorder (ASD) and schizophrenia are often characterized as disorders of white matter integrity. Multimodal investigations have reported elevated metabolic rates, cerebral perfusion and basal activity in various white matter regions in schizophrenia, but none of these functions has previously been studied in ASD. We used 18 fluorodeoxyglucose positron emission tomography to compare white matter metabolic rates in subjects with ASD (n = 25) to those with schizophrenia (n = 41) and healthy controls (n = 55) across a wide range of stereotaxically placed regions-of-interest. Both subjects with ASD and schizophrenia showed increased metabolic rates across the white matter regions assessed, including internal capsule, corpus callosum, and white matter in the frontal and temporal lobes. These increases were more pronounced, more widespread and more asymmetrical in subjects with ASD than in those with schizophrenia. The highest metabolic increases in both disorders were seen in the prefrontal white matter and anterior limb of the internal capsule. Compared to normal controls, differences in gray matter metabolism were less prominent and differences in adjacent white matter metabolism were more prominent in subjects with ASD than in those with schizophrenia. Autism spectrum disorder and schizophrenia are associated with heightened metabolic activity throughout the white matter. Unlike in the gray matter, the vector of white matter metabolic abnormalities appears to be similar in ASD and schizophrenia, may reflect inefficient functional connectivity with compensatory hypermetabolism, and may be a common feature of neurodevelopmental disorders.

Original languageEnglish
Pages (from-to)1290-1305
Number of pages16
JournalBrain Imaging and Behavior
Volume12
Issue number5
DOIs
StatePublished - Oct 1 2018

Bibliographical note

Publisher Copyright:
© 2017, Springer Science+Business Media, LLC.

Funding

Acknowledgements 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. 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. 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. Informed consent was obtained from all individual participants in the study. 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 Derek S. Young declares that he 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.

FundersFunder number
National Institute of Mental HealthP50 MH 66392-01, MH 077146, MH 56489, MH 60023
National Institute of Mental Health
U.S. Department of Veterans AffairsIK6CX001738
U.S. Department of Veterans Affairs
Icahn School of Medicine at Mount Sinai
National Alliance for Research on Schizophrenia and Depression

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Autism spectrum disorder
    • Dorsal and ventral streams
    • Hypermetabolism
    • Positron emission tomography
    • Schizophrenia
    • White matter

    ASJC Scopus subject areas

    • Radiology Nuclear Medicine and imaging
    • Neurology
    • Cognitive Neuroscience
    • Clinical Neurology
    • Cellular and Molecular Neuroscience
    • Psychiatry and Mental health
    • Behavioral Neuroscience

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