Functional brain networks and neuroanatomy underpinning nausea severity can predict nausea susceptibility using machine learning.

Journal: The Journal of physiology
PMID: 30629751

Abstract

KEY POINTS: Nausea is an adverse experience characterised by alterations in autonomic and cerebral function. Susceptibility to nausea is difficult to predict, but machine learning has yet to be applied to this field of study. The severity of nausea that individuals experience is related to the underlying morphology (shape) of the subcortex, namely of the amygdala, caudate and putamen; a functional brain network related to nausea severity was identified, which included the thalamus, cingulate cortices (anterior, mid- and posterior), caudate nucleus and nucleus accumbens. Sympathetic nervous system function and sympathovagal balance, by heart rate variability, was closely related to both this nausea-associated anatomical variation and the functional connectivity network, and machine learning accurately predicted susceptibility or resistance to nausea. These novel anatomical and functional brain biomarkers for nausea severity may permit objective identification of individuals susceptible to nausea, using artificial intelligence/machine learning; brain data may be useful to identify individuals more susceptible to nausea.

Authors

  • James K Ruffle
    Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, 26 Ashfield Street, London, E1 2AJ, UK.
  • Anya Patel
    Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, 26 Ashfield Street, London, E1 2AJ, UK.
  • Vincent Giampietro
    Department of Neuroimaging, King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, SE5 8AF, UK.
  • Matthew A Howard
    Department of Neurosurgery, University of Iowa, Iowa City, IA, United States.
  • Gareth J Sanger
    Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, 26 Ashfield Street, London, E1 2AJ, UK.
  • Paul L R Andrews
    Division of Biomedical Sciences, St George's University of London, London, SW17 0RE, UK.
  • Steven C R Williams
  • Qasim Aziz
    Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, 26 Ashfield Street, London, E1 2AJ, UK.
  • Adam D Farmer
    Centre for Neuroscience and Trauma, Blizard Institute, Wingate Institute of Neurogastroenterology, Barts and the London School of Medicine & Dentistry, Queen Mary University of London, 26 Ashfield Street, London, E1 2AJ, UK.

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