Key Publications 

• 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 Biomed. 2024 Oct 5. doi: 10.1002/nbm.5272. Epub ahead of print. PMID: 39367752. Web Link

• 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. Transl Psychiatry. 2024 Sep 27;14(1):389. doi: 10.1038/s41398-024-03097-2. PMID: 39333492; PMCID: PMC11437080. Web Link

• Gupta, N. K., Yadav, N., & Tiwari, V. (2024). Periventricular and deep white matter hyperintensity thresholds in aging: exponential progression, cognitive decline, and neuroanatomic atrophy. bioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2024.09.03.610993 [In Press - Heliyon]. Web Link

• 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

• 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

• 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

• 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

• 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 Biomedicine 30: e3747 Web Link

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

• Understanding Metabolic and Epigenetic Reprogramming in Gliomas (Funded by SERB)

Does IDH mutant gliomas reprogram the metabolic and epigenetic landscape to attain high proliferative index? We are investigating the epigenetic landscape and metabolic signatures that confer good prognosis to IDH mutant gliomas compared to IDH wildtype.

• 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. 

• 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)

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. 

• Magnitude and Kinetics of Neuroanatomic Volume and White Matter Hyperintensity with Age is definitive of Cognitive Status and Brain Age (Funded by ICMR)

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.

• 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 from new borns followed by AI based quantitative platform for development of early biomarkers for identifying HIE in neonates.

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

This project involves conducting metagenomics and metabolomics in Deep Ocean Biodiversity of Odisha to identify biologically relevant Biosynthetic Gene Clusters and Unique Metabolic Fingerprints. 

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