Sharna D. Jamadar
Monash Biomedical Imaging,
Turner Institute for Brain and Mental Health
Monash University
Dr Sharna Jamadar is a Senior Research Fellow at Monash University. She is a cognitive neuroscientist who specialises in using multiple neuroimaging techniques to understand cognition in health and disease. Sharna specialises in fusing data between behavioural, psychophysiological (electroencephalography [EEG], oculomotor recordings) and neuroimaging (magnetic resonance imaging [MRI], positron emission tomography [PET]) techniques, to provide converging insight into cognition in ageing, neurodegenerative illnesses, and psychiatric disorders. Her recent work has focused on the development of simultaneous blood oxygenation level dependent functional MRI / [18F]-fluorodeoxyglucose PET (BOLD-fMRI/FDG-PET) protocols to measure brain function in response to a task. Her ultimate goal is to apply these new methods to understand cognitive reserve in ageing.
Dr Jamadar has received numerous Australian and international distinctions for the quality of her work, including Science & Technology Australia's Superstars of STEM program (2019-2020), the Society for Psychophysiological Research Distinguished Early Career Contribution to Psychophysiology (2016), and awards from the US Society for Neuroscience and the American College of Neuropsychopharmacology.
Genetic influences of resting state fMRI activity in language-related brain regions in healthy controls and schizophrenia patients: a pilot study.
Brain imaging and behavior Mar, 2013 | Pubmed ID: 22669497
Figural memory performance and functional magnetic resonance imaging activity across the adult lifespan.
Neurobiology of aging Jan, 2013 | Pubmed ID: 22901696
Impairment in semantic retrieval is associated with symptoms in schizophrenia but not bipolar disorder.
Biological psychiatry Mar, 2013 | Pubmed ID: 22985694
Semantic association fMRI impairments represent a potential schizophrenia biomarker.
Schizophrenia research Apr, 2013 | Pubmed ID: 23403412
Quantitative meta-analysis of fMRI and PET studies reveals consistent activation in fronto-striatal-parietal regions and cerebellum during antisaccades and prosaccades.
Frontiers in psychology , 2013 | Pubmed ID: 24137150
Deficits in behavioural inhibition in substance abuse and addiction: a meta-analysis.
Drug and alcohol dependence Dec, 2014 | Pubmed ID: 25195081
Behavioral and Neural Plasticity of Ocular Motor Control: Changes in Performance and fMRI Activity Following Antisaccade Training.
Frontiers in human neuroscience , 2015 | Pubmed ID: 26733841
Intrinsic Connectivity Provides the Baseline Framework for Variability in Motor Performance: A Multivariate Fusion Analysis of Low- and High-Frequency Resting-State Oscillations and Antisaccade Performance.
Brain connectivity 07, 2016 | Pubmed ID: 27117091
Sexual Dimorphism of Resting-State Network Connectivity in Healthy Ageing.
The journals of gerontology. Series B, Psychological sciences and social sciences Sep, 2019 | Pubmed ID: 29471348
A critical review of brain and cognitive reserve in Huntington's disease.
Neuroscience and biobehavioral reviews 05, 2018 | Pubmed ID: 29535068
From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies.
Human brain mapping 12, 2018 | Pubmed ID: 30076750
Simultaneous task-based BOLD-fMRI and [18-F] FDG functional PET for measurement of neuronal metabolism in the human visual cortex.
NeuroImage 04, 2019 | Pubmed ID: 30615952
Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET
Sharna D. Jamadar1,2,3,
Phillip G.D. Ward1,2,3,
Alexandra Carey1,4,
Richard McIntyre1,4,
Linden Parkes1,3,
Disha Sasan1,
John Fallon1,
Edwina Orchard1,2,3,
Shenpeng Li1,5,
Zhaolin Chen1,5,
Gary F Egan1,2,3
1Monash Biomedical Imaging, Monash University,
2, Australian Research Council Centre of Excellence for Integrative Brain Function,
3Turner Institute for Brain and Mental Health, Monash University,
4Department of Medical Imaging, Monash Health,
5Department of Electrical and Computer Systems Engineering, Monash University
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