Bio


I am a postdoctoral researcher in the BRain Imaging, Development, and GEnetics (BRIDGE) Laboratory in the Department of Psychiatry and Behavioral Sciences. Currently my work focuses on the use of magnetic resonance imaging (MRI) for improving understanding of the neuropathophysiology underlying neuropsychiatric disorders with a genetic basis.

My PhD investigated the use of neuroimaging techniques (diffusion MRI, quantitative magnetization transfer, magnetic resonance spectroscopic imaging, electroencephalography) for detection of neuroinflammation in human participants.

My research interests are centered on the clinical applications of MRI for elucidation of pathology and improving diagnosis and treatment.

Professional Education


  • Doctor of Philosophy, University of Auckland (2023)
  • Bachelor of Arts, University of Auckland (2017)
  • BA (Hons), University of Auckland, Psychology (2018)

Stanford Advisors


All Publications


  • The Effects of Neuroinflammation Induced by Typhoid Vaccine on Resting and Task-Based Electroencephalography BRAIN AND BEHAVIOR Plank, J. R., Chen, J. C., Sundram, F., Hoeh, N., Muthukumaraswamy, S., Lin, J. C. 2025; 15 (1): e70249

    Abstract

    Considerable evidence suggests a pathophysiological role of neuroinflammation in psychiatric disorders. Lumbar puncture and positron emission tomography (PET) show increased levels of inflammation in psychiatric disorders. However, the invasive nature of these techniques, as well as their expense, make them undesirable for routine use in patients. Electroencephalography (EEG) is noninvasive, affordable and shows potential as a clinical tool for detection of neuroinflammation.In this randomized, crossover design, placebo-controlled, double-blind study, typhoid vaccine was administered to 20 healthy volunteers to induce a low level of neuroinflammation. EEG was recorded before and after placebo/vaccine administration during resting-state and during performance of the Attention Network Test (ANT). Resting-state EEG was analyzed using spectral power analysis, and time-frequency analysis was used for the EEG from the ANT. Behavioral data were assessed using linear mixed models and Spearman's correlations.Behavioral results from the ANT showed no decrement in performance following the vaccine, consistent with previous studies. During eyes-open resting, there was a relative decrease in right-frontal delta power in the vaccine condition compared to placebo. There was a trend toward greater alpha power suppression in the alerting response of the attentional network; however, this finding did not reach significance.Decreased resting-state delta power may reflect an unpleasant internal state conferred by the vaccine. Inflammation did not significantly affect attention networks. The absence of significant alterations may be due to an insufficient inflammatory response. Further studies are needed to assess the feasibility of EEG as a technique for detection of neuroinflammation.

    View details for DOI 10.1002/brb3.70249

    View details for Web of Science ID 001386251000001

    View details for PubMedID 39740795

    View details for PubMedCentralID PMC11688119

  • Elucidating Microstructural Alterations in Neurodevelopmental Disorders: Application of Advanced Diffusion-Weighted Imaging in Children With Rasopathies. Human brain mapping Plank, J. R., Gozdas, E., Dai, E., McGhee, C. A., Raman, M. M., Green, T. 2024; 45 (17): e70087

    Abstract

    Neurodevelopmental disorders (NDDs) can severely impact functioning yet effective treatments are limited. Greater insight into the neurobiology underlying NDDs is critical to the development of successful treatments. Using a genetics-first approach, we investigated the potential of advanced diffusion-weighted imaging (DWI) techniques to characterize the neural microstructure unique to neurofibromatosis type 1 (NF1) and Noonan syndrome (NS). In this prospective study, children with NF1, NS, and typical developing (TD) were scanned using a multi-shell DWI sequence optimized for neurite orientation density and dispersion imaging (NODDI) and diffusion kurtosis imaging (DKI). Region-of-interest and tract-based analysis were conducted on subcortical regions and white matter tracts. Analysis of covariance, principal components, and linear discriminant analysis compared between three groups. 88 participants (Mage = 9.36, SDage = 2.61; 44 male) were included: 31 NS, 25 NF1, and 32 TD. Subcortical regions differed between NF1 and NS, particularly in the thalamus where the neurite density index (NDI; estimated difference 0.044 [95% CI: -0.034, 0.053], d = 2.36), orientation dispersion index (ODI; estimate 0.018 [95% CI: 0.010, 0.026], d = 1.39), and mean kurtosis (MK; estimate 0.049 [95% CI: 0.025, 0.072], d = 1.39) were lower in NF1 compared with NS (all p < 0.0001). Reduced NDI was found in NF1 and NS compared with TD in all 39 white matter tracts investigated (p < 0.0001). Reduced MK was found in a majority of the tracts in NF1 and NS relative to TD, while fewer differences in ODI were observed. The middle cerebellar peduncle showed lower NDI (estimate 0.038 [95% CI: 0.021, 0.056], p < 0.0001) and MK (estimate 0.057 [95% CI: 0.026, 0.089], p < 0.0001) in NF1 compared to NS. Multivariate analyses distinguished between groups using NDI, ODI, and MK measures. Principal components analysis confirmed that the clinical groups differ most from TD in white matter tract-based NDI and MK, whereas ODI values appear similar across the groups. The subcortical regions showed several differences between NF1 and NS, to the extent that a linear discriminant analysis could classify participants with NF1 with an accuracy rate of 97%. Differences in neural microstructure were detected between NF1 and NS, particularly in subcortical regions and the middle cerebellar peduncle, in line with pre-clinical evidence. Advanced DWI techniques detected subtle alterations not found in prior work using conventional diffusion tensor imaging.

    View details for DOI 10.1002/hbm.70087

    View details for PubMedID 39665502

    View details for PubMedCentralID PMC11635693

  • The Value of a Peer Mentorship Programme for Postgraduate Students in New Zealand: A Qualitative Study MEDICAL SCIENCE EDUCATOR Chen, J. C., Plank, J. R., Tsai, A., Lyndon, M., Henning, M. A. 2024
  • Detection of Neuroinflammation Induced by Typhoid Vaccine Using Quantitative Magnetization Transfer MR: A Randomized Crossover Study. Journal of magnetic resonance imaging : JMRI Plank, J. R., Morgan, C. A., Smith, A. K., Sundram, F., Hoeh, N. R., Muthukumaraswamy, S., Lin, J. C. 2023

    Abstract

    The role of neuroinflammation in psychiatric disorders is not well-elucidated. A noninvasive technique sensitive to low-level neuroinflammation may improve understanding of the pathophysiology of these conditions.To test the ability of quantitative magnetization transfer (QMT) MR at 3 T for detection of low-level neuroinflammation induced by typhoid vaccine within a clinically reasonable scan time.Randomized, crossover, placebo-controlled.Twenty healthy volunteers (10 males; median age 34 years).Magnetization prepared rapid gradient-echo and MT-weighted 3D fast low-angle shot sequences at 3 T.Participants were randomized to either vaccine or placebo first with imaging, then after a washout period received the converse with a second set of imaging. MT imaging, scan time, and blood-based inflammatory marker concentrations were assessed pre- and post-vaccine and placebo. Mood was assessed hourly using the Profile of Mood States questionnaire. QMT parameter maps, including the exchange rate from bound to free pool (kba ) were generated using a two-pool model and then segmented into tissue type.Voxel-wise permutation-based analysis examined inflammatory-related alterations of QMT parameters. The threshold-free cluster enhancement method with family-wise error was used to correct voxel-wise results for multiple comparisons. Region of interest averages were fed into mixed models and Bonferroni corrected. Spearman correlations assessed the relationship between mood scores and QMT parameters. Results were considered significant if corrected P < 0.05.Scan time for the MT-weighted acquisition was approximately 11 minutes. Blood-based analysis showed higher IL-6 concentrations post-vaccine compared to post-placebo. Voxel-wise analysis found three clusters indicating an inflammatory-mediated increase in kba in cerebellar white matter. Cerebellar kba for white matter was negatively associated with vigor post-vaccine but not post-placebo.This study suggested that QMT at 3 T may show some sensitivity to low-level neuroinflammation. Further studies are needed to assess the viability of QMT for use in inflammatory-based disorders.1 TECHNICAL EFFICACY: Stage 2.

    View details for DOI 10.1002/jmri.28938

    View details for PubMedID 37540052

  • A randomized, double-blind, placebo-controlled, hybrid parallel-arm study of low-dose naltrexone as an adjunctive anti-inflammatory treatment for major depressive disorder. Trials Plank, J. R., Glover, S. C., Moloney, B. D., Hoeh, N. R., Sundram, F., Sumner, R. L., Muthukumaraswamy, S., Lin, J. C. 2022; 23 (1): 822

    Abstract

    Major depressive disorder (MDD) is a leading cause of disability worldwide. The current treatments are ineffective in approximately one-third of patients, resulting in a large economic burden and reduced quality of life for a significant proportion of the global population. There is considerable evidence that increased inflammation may distinguish a sub-type of MDD, and there are no validated diagnostic tools or treatments for neuroinflammation in MDD patients. The current study aims to explore the potential role of low-dose naltrexone (LDN), a drug with purported anti-inflammatory properties in the central nervous system, as an adjunctive treatment in patients with MDD.This double-blind placebo-controlled hybrid parallel arm study enables the exploration of peripheral and central inflammatory markers with LDN as an approach to investigate inflammation as a pathophysiological contributor to MDD. Eligible participants with MDD (n = 48) will be stratified into the high and low inflammatory groups according to the levels of high-sensitivity C-reactive protein (hs-CRP) and then randomized to receive LDN or placebo for an initial 12 weeks, followed by a further 12 weeks during which all participants will receive LDN. The primary outcome measure will be the Montgomery-Åsberg Depression Rating Scale (MADRS) administered at baseline, 2 weeks, 4 weeks, 8 weeks, 12 weeks, 14 weeks, 16 weeks, 20 weeks, and 24 weeks, to assess the effectiveness of the anti-depressant response. The secondary outcomes include the use of MRI techniques including quantitative magnetization transfer (qMT), echo-planar spectroscopic imaging (EPSI), and diffusion-weighted imaging (DWI) to help to elucidate the neurobiological mechanism of LDN, and the inflammatory mechanisms in action in MDD. Electroencephalography, blood samples, cognitive tasks, and additional questionnaires will also be used to determine if there is a specific profile of symptoms in individuals with inflammatory MDD. Healthy participants (n = 24) will be recruited for baseline outcome measures only, to enable comparison with patients with MDD.This trial contributes to the literature on inflammation in MDD, including the understanding of the pathophysiology and efficacy of anti-inflammatory treatments. The investigation of inflammatory mechanisms in MDD is an important first step in the development of biomarkers to classify patient sub-groups, increase the accuracy of diagnosis, and tailor the approach to patients in clinical practice. This study may provide evidence of the benefit of LDN for the groups in whom conventional anti-depressants are ineffective and lead the way for translation into clinical practice.Australian New Zealand Clinical Trials Registry ACTRN12622000881730 . Registered on 21 June 2022.

    View details for DOI 10.1186/s13063-022-06738-3

    View details for PubMedID 36175917

    View details for PubMedCentralID PMC9524133

  • Brain temperature as an indicator of neuroinflammation induced by typhoid vaccine: Assessment using whole-brain magnetic resonance spectroscopy in a randomised crossover study. NeuroImage. Clinical Plank, J. R., Morgan, C., Sundram, F., Plank, L. D., Hoeh, N., Ahn, S., Muthukumaraswamy, S., Lin, J. C. 2022; 35: 103053

    Abstract

    Prior studies indicate a pathogenic role of neuroinflammation in psychiatric disorders; however, there are no accepted methods that can reliably measure low-level neuroinflammation non-invasively in these individuals. Magnetic resonance spectroscopic imaging (MRSI) is a versatile, non-invasive neuroimaging technique that demonstrates sensitivity to brain inflammation. MRSI in conjunction with echo-planar spectroscopic imaging (EPSI) measures brain metabolites to derive whole-brain and regional brain temperatures, which may increase in neuroinflammation. The validity of MRSI/EPSI for measurement of low level neuroinflammation was tested using a safe experimental model of human brain inflammation - intramuscular administration of typhoid vaccine. Twenty healthy volunteers participated in a double-blind, placebo-controlled crossover study including MRSI/EPSI scans before and 3 h after vaccine/placebo administration. Body temperature and mood, assessed using the Profile of Mood States, were measured every hour up to four hours post-treatment administration. A mixed model analysis of variance was used to test for treatment effects. A significant proportion of brain regions (44/47) increased in temperature post-vaccine compared to post-placebo (p < 0.0001). For temperature change in the brain as a whole, there was no significant treatment effect. Significant associations were seen between mood scores assessed at 4 h and whole brain and regional temperatures post-treatment. Findings indicate that regional brain temperature may be a more sensitive measure of low-level neuroinflammation than whole-brain temperature. Future work where these measurement techniques are applied to populations with psychiatric disorders would be of clinical interest.

    View details for DOI 10.1016/j.nicl.2022.103053

    View details for PubMedID 35617872

    View details for PubMedCentralID PMC9136180