In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia

Jing Sui, Godfrey D. Pearlson, Yuhui Du, Qingbao Yu, Thomas R. Jones, Jiayu Chen, Tianzi Jiang, Juan Bustillo, Vince D. Calhoun

    Research output: Contribution to journalArticle

    Abstract

    Background The cognitive deficits of schizophrenia are largely resistant to current treatments and thus are a lifelong illness burden. The Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) provides a reliable and valid assessment of cognition across major cognitive domains; however, the multimodal brain alterations specifically associated with MCCB in schizophrenia have not been examined. Methods The interrelationships between MCCB and the abnormalities seen in three types of neuroimaging-derived maps - fractional amplitude of low-frequency fluctuations (fALFF) from resting-state functional magnetic resonance imaging (MRI), gray matter (GM) density from structural MRI, and fractional anisotropy from diffusion MRI - were investigated by using multiset canonical correlation analysis in data from 47 schizophrenia patients treated with antipsychotic medications and 50 age-matched healthy control subjects. Results One multimodal component (canonical variant 8) was identified as both group differentiating and significantly correlated with the MCCB composite. It demonstrated 1) increased cognitive performance associated with higher fALFF (intensity of regional spontaneous brain activity) and higher GM volumes in thalamus, striatum, hippocampus, and the mid-occipital region, with co-occurring fractional anisotropy changes in superior longitudinal fascicules, anterior thalamic radiation, and forceps major; 2) higher fALFF but lower GM volume in dorsolateral prefrontal cortex related to worse cognition in schizophrenia; and 3) distinct domains of MCCB might exhibit dissociable multimodal signatures, e.g., increased fALFF in inferior parietal lobule particularly correlated with decreased social cognition. Medication dose did not relate to these findings in schizophrenia. Conclusions Our results suggest linked functional and structural deficits in distributed cortico-striato-thalamic circuits may be closely related to MCCB-measured cognitive impairments in schizophrenia.

    Original languageEnglish (US)
    Pages (from-to)794-804
    Number of pages11
    JournalBiological psychiatry
    Volume78
    Issue number11
    DOIs
    StatePublished - Jan 1 2015

    Keywords

    • Diffusion magnetic resonance imaging (dMRI)
    • Functional magnetic resonance imaging (fMRI)
    • Gray matter
    • MATRICS Consensus Cognitive Battery (MCCB)
    • Multimodal fusion
    • Schizophrenia

    ASJC Scopus subject areas

    • Biological Psychiatry

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  • Cite this

    Sui, J., Pearlson, G. D., Du, Y., Yu, Q., Jones, T. R., Chen, J., Jiang, T., Bustillo, J., & Calhoun, V. D. (2015). In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia. Biological psychiatry, 78(11), 794-804. https://doi.org/10.1016/j.biopsych.2015.02.017