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Indian Institute of Science Education and Research Berhampur
भारतीय विज्ञान शिक्षा एवं अनुसंधान संस्थान बरहमपुर
ଭାରତୀୟ ବିଜ୍ଞାନ ଶିକ୍ଷା ଏବଂ ଗବେଷଣା ସଂସ୍ଥାନ ବ୍ରହ୍ମପୁର
An Autonomous Institution under the Ministry of Education, Government of India

Biography

Dr. Vivek Tiwari’s research is centered on exploring the clinically relevant but challenging-to-identify structural, metabolic and epigenetic events associated with brain disorders, with a particular focus on gliomas and dementia. Vivek’s research group employs multidisciplinary approaches to unravel the molecular underpinning of cancer initiation and progression, cognitive impairment and cerebral small vessel diseases. His study encompasses investigations in human patients, transgenic mouse model of brain diseases, cell and organoid models. 

Dr. Vivek's research group at IISER Berhampur is developing novel metabolic models to generate in vivo metabolic maps in whole brain and tumor mass together with genetic and epigenetic correlates to understand the underpinning of structural heterogeneities in cancers, particularly gliomas.  The multidisciplinary approaches being employed in his group encompass metabolic investigations in vivo clubbed with magnetic resonance imaging and spectroscopy, fiber tractography and cognitive biology, wrapped in artificial intelligence and metabolic modeling to identify clinically relevant hard-to-identify structural, neurovascular and neurometabolic signatures for improved clinical management of patients with brain disorders. His postdoctoral work in a multidisciplinary group of Physicists, Neurosurgeons and Neurooncologists allows him to envision his science from bench to bedside.

Vivek's group is closely working with clinical collaborators focused towards clinically challenging problems in Brain Tumors and Neurocognitive disorders. 

To know more: https://sites.google.com/iiserbpr.ac.in/nibbrlab/home

1.    Yadav, Neha, Jayshaan Baibhav, Seemadri Subhadarshini, Saroj Kumar Das Majumdar, Mohit K. Jolly, and Vivek Tiwari. "Brain metastases converge on shared geometric architecture and transcriptomic landscape yet remain distinct from gliomas." iScience 29, no. 4 (2026) Web-Link

 

2.    Pandey S, Yadav N, Tiwari V* and Jagannathan NR (2026) Insight into the metabolism of gliomas by MRI and MRS. Biophysical Reviews, 2026; Web-Link 

 

3.    Gupta, N. K., Yadav, N., & Tiwari, V. (2025b). Brain aging and cognitive decline accelerate beyond a threshold of periventricular white matter hyperintensity. Cerebral Cortex, 35(11). https://doi.org/10.1093/cercor/bhaf302 Web-Link

 

4.    Panigrahi A, Das NR, Yadav N, Panda S, Sethy AS, Panda SK, Mohakud NK, Tiwari V*. AI-Driven Quantitative Metabolomics for Early and Precise HIE Diagnosis: Challenges and Solutions. ACS Omega. 2025 Nov 24;10(48):57876- 57888. doi:10.1021/acsomega.5c03256. PMID: 41502645; PMCID: PMC12771435. Web-Link

 

5.    Tiwari, V., Ganji, S. K., An, Z., Pinho, M. C., Davis, L. T., McKnight, C. D., Berry, J. D., Mobley, B. C., Luo, L. Y., Mohler, A. C., Merrell, R. T., Kelly, P. D., Thompson, R. C., Mickey, B. E., Malloy, C. R., Gore, J. C., Patel, T. R., Maher, E. A., & Choi, C. (2025). Magnetic resonance spectroscopy of 2‐Hydroxyglutarate and glycine in adult subjects with brainstem Gliomas. NMR in Biomedicine, 38(11), e70153. https://doi.org/10.1002/nbm.70153 Web-Link 

 

6.    Yadav N, Mohanty A, V A, Tiwari V. Fractal dimension and lacunarity measures of glioma subcomponents are discriminative of the grade of gliomas and IDH status. NMR in Biomedicine 2024 Oct 5. doi: 10.1002/nbm.5272. Epub ahead of print. PMID: 39367752. Web-Link

 

7.    Yadav N, Gupta NK, Thakar D, Tiwari V. Magnitude and kinetics of a set of neuroanatomic volume and thickness together with white matter hyperintensity is definitive of cognitive status and brain age. Translational Psychiatry. 2024 Sep 27;14(1):389. doi: 10.1038/s41398-024-03097-2. PMID: 39333492; PMCID: PMC11437080. Web Link

 

8.    Tiwari V, Daoud EV, Hatanpaa KJ, Gao A, Zhang S, An Z, Ganji SK, Raisanen JM, Lewis CM, Askari P, Baxter J, Levy M, Dimitrov I, Thomas BP, Pinho MC, Madden CJ, Pan E, Patel TR, DeBerardinis RJ, Sherry DA, Mickey BE, Malloy CR, Maher EA, Choi C. (2020) Glycine by MR spectroscopy is an imaging biomarker of glioma aggressiveness. Neuro-Oncology 2(7):1018-1029  Web Link

 

9.    Tiwari V, Mashimo T, An Z, Vemireddy V, Piccirillo S, Askari P, Hulsey KM, Zhang S, de Graaf RA, Patel TR, Pan E, Mickey BE, Maher EA, Bachoo RM, and Choi C (2020) In Vivo detection of 2-Hydroxyglutarate in IDH mutant Mouse and human brain tumor. Magnetic Resonance in Medicine 84(3):1152-1160  Web Link

 

10.  An Z, Tiwari V, Levy M, Hatanpaa K, Pan E, Maher EA, Patel TR, Mickey B, and Choi C (2019) 3D High-Resolution Imaging of 2-Hydroxyglutarate in Glioma Patients using DRAG-EPSI at 3T In Vivo. Magnetic Resonance in Medicine 81(2):795-802.  Web Link

 

11.  Tiwari V, An Z, Wang Y, Choi C (2018) Distinction of the GABA 2.29 ppm resonance using triple refocusing at 3T In Vivo. Magnetic Resonance in Medicine 80(4):1307-1319.  Web Link

 

12.  Tiwari V, An Z, Ganji SK, Baxter J, Mickey B, Pan E, Maher EA, Pinho M and Choi C (2017) Measurement of Glycine in healthy and tumorous brain by triple- refocusing MRS at 3T In Vivo. NMR in Biomedicine 30: e3747  Web Link

 

13.  Tiwari V, Veeraiah P, Subramaniam V, Patel AB (2013) Differential Effects of Ethanol on Regional Glutamatergic and GABAergic Neurotransmitter Pathways in Mouse Brain. Journal of Neurochemistry 128:628-640  Web Link

 

14.  Tiwari, V., Ambadipudi, S., & Patel, A. B. (2013). Glutamatergic and GABAergic TCA cycle and neurotransmitter cycling fluxes in different regions of mouse brain. Journal of Cerebral Blood Flow & Metabolism, 33(10), 1523-1531. https://journals.sagepub.com/doi/full/10.1038/jcbfm.2013.114  Web-Link

Ongoing Funded Research Projects/Objectives

 

1. Exploring the pathobiology of brain aging in Indian population: developing a public domain reference atlas and spatial transcriptome facility for aging research (Funded by ICMR-Centre for Advanced Research (ICMR-CAR 2024)
 
The research project aims to explore the brain metabolic and structural changes together with spatial transcriptomics in healthy and pathological aging using in vivo MR imaging and spectroscopic imaging in our ongoing IISER Berhampur Neuroimaging Aging Cohort. The study also aims to estimate metabolic age of the subjects through an integrated approach involving ex vivo NMR based metabolomics of brain regions using brain tissues from Brain Bank at AIIMS Bhubaneswar, blood metabolomics and in vivo 1H MRS in subjects. This will allow to develop India's Metabolic and structural reference and signatures to evaluate deviations from healthy aging. 
 
2. Understanding Metabolic and Epigenetic Reprogramming in Gliomas (Funded by SERB): 
 
Here, we are exploring whether IDH mutant gliomas reprogram the metabolic and epigenetic landscape to attain high proliferative index? We are investigating the epigenetic landscape and metabolic signatures in various molecular subtypes of IDH mutant and IDH wildtype gliomas.

3. Metabolic Consumption, Release and Kinetics Measurement across Molecular Subtypes of Gliomas (Funded by SERB):
 
Revised WHO Classification of Central nervous system (CNS) tumor has introduced molecular basis of classification based on presence/absence of Isocitrate dehydrogenase (IDH) mutation, 1p/19q codeletion, TP53 status, ATRX mutation. We are employing multidisciplinary approach involving cellular, mouse model and glioma patients to deduce the genotype-phenotype underpinning of molecular subtypes, biochemical kinetics and its clinical implications. 

3. Development of an Artificial Intelligence-Radiomics based Brain MRI Platform to Generate Post-Contrast Images without Performing Gadolinium-injected-MRI for clinical decisions in Glioma Patients (Funded by ICMR-AdHoC Grant):
 
A novel strategy to bypass contrast injected MRI: We aim to bypass the need of Gd injection for generating the tumor tissue contrast and structural details of tumors mass by using a novel combinatorial approach of Structural MRI (3D-T1, 3D-T2, 3D-T2-FLAIR, T2*-susceptibility weighted images (SWI)), Perfusion-MRI (pseudo continuous arterial spin labelling (pCASL)), 3D-Spectroscopic imaging (3D-MRSI) together with artificial Intelligence based Machine Learning/Deep Learning neural network analysis by developing an easy-to-operate first of its kind a unique RADIOME PLATFORM. 

4. Magnitude and Kinetics of Neuroanatomic Volume and White Matter Hyperintensity with Age is definitive of Cognitive Status and Brain Age
 
Clinically precise discrimination of brain health and cognitive status as a function of neuroanatomical and microvascular health of a subject at a given chronological age non-invasively demands a quantitative morphometric threshold of optimal number of brain structural features together with small vessel pathologies. To pinpoint the cognitive status as normal, impaired and Alzheimer’s disease, and associated structural, vascular and metabolic signatures, we employ comprehensive longitudinal neuroanatomic segmentation, white matter hyperintensity quantification wrapped in artificial intelligence.

5. Developing a Metabolite-Cytokine Platform for Early Identification of Hypoxia Ischemic Encephalopathy in Neonates (Funded by Odisha S&T, Govt of India): 

This project involves blood based metabolomics and cytokine profiling in neonates followed by AI based quantitative platform for development of early biomarkers for identifying Hypoxic Ischemic Encephalopathy in neonates.

6. Metagenomics and Artificial Intelligence in Identifying Deep Ocean Biodiversity (Funded by MoES, as a multi-institute multi PI project):

It is a multi-institute multi PI initiative where my role is to understand metabolic diversity biodiversity of deep ocean flora and fauna of Odisha to identify biologically relevant Biosynthetic Gene Clusters and Unique Metabolic Fingerprints. 

  • Brain Biochemistry and Cancer Biology
  • Neurobiology of Brain Disorders
  • Cognition and Neuroanatomy
  • Artificial Intelligence and Neuroimaging
  • Magnetic Resonance Imaging and NMR Spectroscopy
  • Neha Yadav, PhD Scholar
  • Niraj Kumar Gupta, PhD Scholar
  • Shreya S Shetty
  • Rittika Dutta
  • Sunita Pradhan
  • Ashish Panigrahi, JRF
  • Pratiti Phukan
  • Postdoctoral Fellow (2014-2019): Advanced Imaging Research Centre, University of Texas Southwestern Medical Center, Dallas, Texas, USA
  • PhD (2008-2014): CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
  • M.Sc. (Biochemistry, 2006-2008) University of Hyderabad, Hyderabad, India
  • B.Sc. (Zoology Hons., 2003-2006) Banaras Hindu University, Varanasi, India
  • Assistant Professor (Sept 2021- onwards), Indian Institute of Science Education and Research, Berhampur
  • Assistant Professor (Oct 2019 – Aug 2021) Centre for Brain Research (CBR), Indian Institute of Science, Bengaluru
  • Postdoctoral Fellow (2014-2019): Advanced Imaging Research Centre, University of Texas Southwestern Medical Center, Dallas, Texas, USA
  • Associate Professor (February 2026 -onwards), Indian Institute of Science Education and Research Berhampur
  • Research Grant in Advanced Areas of Applied Biotechnology from Odisha S&T, Govt. of Odisha
  • Research Grant from Indian Council of Medical Research (ICMR), India to work on Gliomas
  • Research grant from SERB-SRG (2022)
  • Received a Grant from SERB-SSY
  • Investigator Award at Indo-UK Collaborations, Royal Society-BCKIC Joint Symposium on Health and Well-being.
  • Best Oral Mid-Age Group Scientist Award at 41st International Annual Conference of the Indian Association for Cancer Research (IACR-2022)
  • Young Investigator Platform Talk at the 27th International Conference on “Interdisciplinary Research in Biomedical Sciences" CONIAPS XXVII, October 26-28, 2021
  • Suma Cum Laude Merit Award , 27th Annual Meeting and Symposia of International Society for Magnetic Resonance in Medicine, at Montreal, Canada
  • Magna Cum Laude Merit Award , 25th Annual Meeting and Symposia of International Society for Magnetic Resonance in Medicine at Hawaii, USA
  • Suma Cum Laude Merit Award, 24th Annual Meeting and Symposia of International Society for Magnetic Resonance in Medicine at Singapore
  • A.R. Gopala Aiyengar Best Poster Award, Annual Meeting of the Indian Biophysical Society, Chennai
  • D.M. Bose Best Poster Award, 7th Asian Biophysics Association Symposium & Annual Meeting of the Indian Biophysical Society, New Delhi
  • Scientific Advisory Board Member at Indian Honey Alliance
  • Lifetime member of Indian Academy of Neuroscience
  • Lifetime member of Society for Neurochemistry of India
  • Permanent member of International Society to Advance Alzheimer's Research and Treatment (ISTAART)
  • Lifetime member of National Magnetic Resonance Society of India
  • Lifetime member of Asian Society for Magnetic Resonance in Medicine