GAURAV BHALERAO
Research groups
Gaurav Bhalerao
PhD
Postdoctoral Research Fellow
RESEARCH SUMMARY
I am postdoctoral researcher at the Wellcome Centre for Integrative Neuroimaging (WIN). My research interests include neuroimaging in psychiatry, machine learning, and computational modelling of brain stimulation.
I am currently working in the Dementias Platform UK (DPUK) project which aims to find news ways of detecting, treating and preventing dementia. My work involves adapting UK Biobank brain imaging pipeline for various DPUK datasets that are made accessible through the DPUK Data portal to advance dementia research. This work also includes exploring the inclusion of additional pipelines for the calculation of measures specifically relevant to dementia cohorts and develop methods to facilitate cross-cohort analyses. Additionally, I will be working on making the pipeline accessible from the DPUK remote analysis environment for the users of the DPUK Data Portal that wish to apply the pipeline to new datasets.
I work with various neuroimaging software/tools for the analysis multimodal brain magnetic resonance imaging data such as FSL, SPM, Freesurfer, etc. I utilize various programming languages such as Python, MATLAB, R for coding, machine learning and statistical data analysis. I enjoy working with big data from various psychiatric cohorts, developing and troubleshooting brain imaging pipelines and reproducibility in neuroimaging research.
In December 2022, I have been awarded with Software Sustainibility Institute (SSI) fellowship for the year 2023. With this exciting opportunity, I am looking forward to engage and collaborate with the research software community, and execute my fellowship plans for contributing to and nurturing best practice in research software within DPUK and further afield.
I have completed my Masters in Biomedical engineering at Manipal Institute of Technology (Manipal, India) and PhD in Dept of Psychiatry at National Institute of Mental Health and Neurosciences (NIMHANS, Bengaluru, India). For my PhD, I worked on developing machine learning classification models with the neuroimaging and eye tracking data for Schizophrenia and Obsessive Compulsive disorder. I also worked on developing computational brain models for studying the electric field distribution in the responders and non-responders of Transcranial direct current stimulation (tDCS) technique.
Key publications
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Comparison of electric field modeling pipelines for transcranial direct current stimulation
Journal article
Bhalerao GV. et al, (2021), Neurophysiologie Clinique, 51, 303 - 318
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Protocol for magnetic resonance imaging acquisition, quality assurance, and quality check for the Accelerator program for Discovery in Brain disorders using Stem cells
Journal article
Parekh P. et al, (2021), International Journal of Methods in Psychiatric Research, 30
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Systematic Evaluation of the Impact of Defacing on Quality and Volumetric Assessments on T1-weighted MR-Images
Journal article
Bhalerao G. et al, (2022), Journal de Neuroradiologie / Journal of Neuroradiology
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Construction of population-specific Indian MRI brain template: Morphometric comparison with Chinese and Caucasian templates.
Journal article
Bhalerao GV. et al, (2018), Asian J Psychiatr, 35, 93 - 100
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Sample size requirement for achieving multisite harmonization using structural brain MRI features
Journal article
Parekh P. et al, (2022), NeuroImage, 119768 - 119768
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Altered Resting State Dynamics in Unmedicated First-Episode Schizophrenia: A Multivariate Pattern Analysis
Journal article
Shivakumar V. et al, (2021), Biological Psychiatry, 89, S258 - S259
Recent publications
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Resting-state functional connectivity correlates of antipsychotic treatment in unmedicated schizophrenia
Journal article
Sreeraj VS. et al, (2023), Asian Journal of Psychiatry, 82, 103459 - 103459
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Neurohemodynamic correlates of BDNF gene expression in schizophrenia patients with working memory deficits: A functional MRI study
Journal article
Selvaraj S. et al, (2022), Asian Journal of Psychiatry, 77, 103261 - 103261