Dr Nathanael Yates

Postdoctoral Research Fellow

Queensland Brain Institute
+61 7 334 66361


Dr. Nathanael Yates is a postdoctoral research fellow at the Asia-Pacific Centre for Neuromodulation in the Queensland Brain Institute. Under the supervision of Dr. Susannah Tye he is investigating the neurobiological mechanisms and behavioral effects of deep brain stimulation (DBS) for neuropsychiatric and neurodegenerative disorders. The overarching vision for this work is to translate mechanistic insights from preclinical studies into the clinic, advancing precision medicine in neuropsychiatry and neurology. Dr. Yates has a background in the development and validation of animal models of mental illness and neurotrauma, utilizing a variety of techniques including behaviour, histology, electrophysiology, MRI, and neurosurgery. He also has interests in perinatal brain development, neurodevelopmental causes of mental illness, and the development of biomarkers for enhancing diagnosis and treatment of mental illness.

Research highlights:

  • Discovered a link between maternal vitamin D deficiency, social deficits, and stress hormones in rats (Yates et al., 2018, J Endocrinlogy; Yates et al., 2017, Reproduction)
  • Discovered that increasing the number of mild traumatic brain injuries does not uniformly increase brain damage (Yates et al., 2017, Exp. Brain. Res.)
  • Validated a novel therapy for neuroprotection in brain trauma (Yates et al., 2017, Neur. Regen. Res.; Mao et al., 2018, Int. J Mol. Sci; O'Hare Doig et al., 2017, BMC Neuroscience)
  • Established the role of an axonal guidance protein in auditory and motor development (Yates et al., 2014, Hearing Res.; Yates et al., 2014, Behav. Brain Res.)

Research Interests

  • Neuromodultion of Refractory Mental Illness
    I am interested in using targeted deep brain stimulation (DBS) to treat patients that are treatment-resistant to standard therapy such as depression, addiction, schizophrenia, and anxiety.
  • Neuropsychiatric Biomarker Discovery for Targeted Therapy
    Currently there are limited ways to predict optimal therapy for psychiatric patients. This often leads to prolonged periods with inadequate therapeutic response, and suboptimal response. My goal to to develop new metrics and biomarkers to predict therapeutic response and optimal treatment for an individual patient. In particular I am interested in using electrophysiology, such as EEG and evoked response potentials for evaluation therapeutic strategies.


  • Doctor of Philosophy, The University of Western Australia


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Journal Article