SOURAV BHADURI
@scmia.edu.in
Scopus Publications
Scopus Publications
Sarah Collet, Sourav Bhaduri, Meltem Kiyar, Tibbert Van Den Eynde, Antonio Guillamon, Guy T’Sjoen, and Sven C. Mueller
Elsevier BV
Sarah Collet, Sourav Bhaduri, Meltem Kiyar, Tibbert Van Den Eynde, Antonio Guillamon, Guy T’Sjoen, and Sven C. Mueller
Elsevier BV
Sourav Bhaduri, Claire Louise Kelly, Clémentine Lesbats, Jack Sharkey, Lorenzo Ressel, Soham Mukherjee, Mark David Platt, Edward J. Delikatny, and Harish Poptani
Wiley
Changes in glioblastoma (GBM) metabolism was investigated in response to JAS239, a choline kinase inhibitor, using MRS. In addition to the inhibition of phosphocholine synthesis, we investigated changes in other key metabolic pathways associated with GBM progression and treatment response. Three syngeneic rodent models of GBM were used: F98 (N = 12) and 9L (N = 8) models in rats and GL261 (N = 10) in mice. Rodents were intracranially injected with GBM cells in the right cortex and tumor growth was monitored using T2‐weighted images. Animals were treated once daily with intraperitoneal injections of 4 mg/kg JAS239 (F98 rats, n = 6; 9L rats, n = 6; GL261 mice, n = 5) or saline (control group, F98 rats, n = 6; 9L rats, n = 2; GL261 mice, n = 5) for five consecutive days. Single voxel spectra were acquired on Days 0 (T0, baseline) and 6 (T6, end of treatment) from the tumor as well as the contralateral normal brain using a PRESS sequence. Changes in metabolite ratios (tCho/tCr, tCho/NAA, mI/tCr, Glx/tCr and (Lip + Lac)/Cr) were used to assess metabolic pathway alterations in response to JAS239. Tumor growth arrest was noted in all models in response to JAS239 treatment compared with saline‐treated animals, with a significant reduction (p < 0.05) in the F98 model. A reduction in tCho/tCr was observed with JAS239 treatment in all GBM models, indicating reduced phospholipid metabolism, with the highest reduction in 9L followed by GL261 and F98 tumors. A significant reduction (p < 0.05) in the tCho/NAA ratio was observed in the 9L model. A significant reduction in mI/tCr (p < 0.05) was found in JAS239‐treated F98 tumors compared with the saline‐treated animals. A non‐significant trend of reduction in Glx/tCr was observed only in F98 and 9L tumors. JAS239‐treated F98 tumors also showed a significant increase in Lip + Lac (p < 0.05), indicating increased cell death. This study demonstrated the utility of MRS in assessing metabolic changes in GBM in response to choline kinase inhibition.
Meltem Kiyar, Mary-Ann Kubre, Sarah Collet, Sourav Bhaduri, Guy T’Sjoen, Antonio Guillamon, and Sven C Mueller
Oxford University Press (OUP)
Abstract Background Minority stress via discrimination, stigmatization, and exposure to violence can lead to development of mood and anxiety disorders and underlying neurobiochemical changes. To date, the neural and neurochemical correlates of emotion processing in transgender people (and their interaction) are unknown. Methods This study combined functional magnetic resonance imaging and magnetic resonance spectroscopy to uncover the effects of anxiety and perceived stress on the neural and neurochemical substrates, specifically choline, on emotion processing in transgender men. Thirty transgender men (TM), 30 cisgender men, and 35 cisgender women passively viewed angry, neutral, happy, and surprised faces in the functional magnetic resonance imaging scanner, underwent a magnetic resonance spectroscopy scan, and filled out mood- and anxiety-related questionnaires. Results As predicted, choline levels modulated the relationship between anxiety and stress symptoms and the neural response to angry and surprised (but not happy faces) in the amygdala. This was the case only for TM but not cisgender comparisons. More generally, neural responses in the left amygdala, left middle frontal gyrus, and medial frontal gyrus to emotional faces in TM resembled that of cisgender women. Conclusions These results provide first evidence, to our knowledge, of a critical interaction between levels of analysis and that choline may influence neural processing of emotion in individuals prone to minority stress.
Sourav Bhaduri, Clémentine Lesbats, Jack Sharkey, Claire Louise Kelly, Soham Mukherjee, Arthur Taylor, Edward J. Delikatny, Sungheon G. Kim, and Harish Poptani
MDPI AG
To investigate the utility of DCE-MRI derived pharmacokinetic parameters in evaluating tumour haemodynamic heterogeneity and treatment response in rodent models of glioblastoma, imaging was performed on intracranial F98 and GL261 glioblastoma bearing rodents. Clustering of the DCE-MRI-based parametric maps (using Tofts, extended Tofts, shutter speed, two-compartment, and the second generation shutter speed models) was performed using a hierarchical clustering algorithm, resulting in areas with poor fit (reflecting necrosis), low, medium, and high valued pixels representing parameters Ktrans, ve, Kep, vp, τi and Fp. There was a significant increase in the number of necrotic pixels with increasing tumour volume and a significant correlation between ve and tumour volume suggesting increased extracellular volume in larger tumours. In terms of therapeutic response in F98 rat GBMs, a sustained decrease in permeability and perfusion and a reduced cell density was observed during treatment with JAS239 based on Ktrans, Fp and ve as compared to control animals. No significant differences in these parameters were found for the GL261 tumour, indicating that this model may be less sensitive to JAS239 treatment regarding changes in vascular parameters. This study demonstrates that region-based clustered pharmacokinetic parameters derived from DCE-MRI may be useful in assessing tumour haemodynamic heterogeneity with the potential for assessing therapeutic response.
Maria de los Angeles Gomez, Hacene Serrai, Sourav Bhaduri, and Taous-Meriem Laleg-Kirati
IEEE
Magnetic resonance spectroscopy (MRS) is a non-invasive method that enables the analysis and quantification of brain metabolites, which provide useful information about the neuro-biological substrates of brain function. Lactate plays a pivotal role in the diagnosis of various brain diseases. However, accurate lactate quantification is generally difficult to achieve due to the presence of large lipid peaks resonating at a similar spectral position. To overcome this problem several techniques have been proposed. However, most of them suffer from lactate signal loss or poor lipid peak removal. In this paper, a novel method for lipid suppression for MRS signal is proposed. The method combines a semi-classical signal analysis method and a bidirectional long short term memory technique. The method is validated using simulated data that mimics real MRS data.
Sarah Collet, Sourav Bhaduri, Meltem Kiyar, Guy T’Sjoen, Sven Mueller, and Antonio Guillamon
MDPI AG
Much research has been conducted on sexual differences of the human brain to determine whether and to what extent a brain gender exists. Consequently, a variety of studies using different neuroimaging techniques attempted to identify the existence of a brain phenotype in people with gender dysphoria (GD). However, to date, brain sexual differences at the metabolite level using magnetic resonance spectroscopy (1H-MRS) have not been explored in transgender people. In this study, 28 cisgender men (CM) and 34 cisgender women (CW) and 29 transgender men with GD (TMGD) underwent 1H-MRS at 3 Tesla MRI to characterize common brain metabolites. Specifically, levels of N–acetyl aspartate (NAA), choline (Cho), creatine (Cr), glutamate and glutamine (Glx), and myo-inositol + glycine (mI + Gly) were assessed in two brain regions, the amygdala-anterior hippocampus and the lateral parietal cortex. The results indicated a sex-assigned at birth pattern for Cho/Cr in the amygdala of TMGD. In the parietal cortex, a sex-assigned at birth and an intermediate pattern were found. Though assessed post-hoc, exploration of the age of onset of GD in TMGD demonstrated within-group differences in absolute NAA and relative Cho/Cr levels, suggestive for a possible developmental trend. While brain metabolite levels in TMGD resembled those of CW, some interesting findings, such as modulation of metabolite concentrations by age of onset of GD, warrant future inquiry.
Fouzi Mouffouk, Hacene Serrai, Sourav Bhaduri, Rik Achten, Mozhdeh Seyyedhamzeh, Ali A. Husain, Abdullah Alhendal, and Mohammed Zourob
MDPI AG
Detecting tissue pH in vivo is extremely vital for medical diagnosis and formulation of treatment decisions. To this end, many investigations have been carried out to develop an accurate and efficient method of in vivo pH measurement. Most of the techniques developed so far suffer from inadequate accuracy, due to poor sensitivity at low concentration of the target or nonspecific interactions within the tissue matrix. To overcome these issues, we describe herein the development of a simple, yet reliable, way to estimate pH with high precision using a Gd(III)-DOTA-silyl-based acid-labile group as a pH-sensitive contrast agent with Magnetic Resonance Imaging (MRI). With this method, a change in T 1 weighted image intensity of the newly developed pH-sensitive contrast is directly linked to the proton concentration in the media. As a result, we were able estimate the pH of the target with 95% reliability.
Sourav Bhaduri, Abderrazak Chahid, Eric Achten, Taous-Meriem Laleg-Kirati, and Hacene Serrai
Elsevier BV
Abderrazak Chahid, Sourav Bhaduri, Mohamed Maoui, Eric Achten, Hacene Serrai, and Taous-Meriem Laleg-Kirati
Institute of Electrical and Electronics Engineers (IEEE)
Water suppression, in proton magnetic resonance spectroscopy (MRS) using post-processing techniques, is very challenging due to the large amplitude of the water line, which shadows the metabolic peaks with small amplitudes and complicates their quantification. In addition, the peak-shaped structure of these spectra and the relatively small number of data points representing them makes the suppression process more cumbersome. In this paper, a post-processing water suppression technique based on the Schrödinger operator is proposed. The method is based on the decomposition of the input MRS spectrum, using the squared eigenfunctions of a semi-classical Schrödinger operator. The proposed approach proceeds in three steps: first, the water peak is estimated using an optimal choice of the value of $h$ to reconstruct the MRS spectrum with a minimum number of eigenfunctions. Second, these estimated eigenfunctions are further refined to ensure that they only represent the water line with no contribution from the metabolite peaks. Finally, the estimated water peak is subtracted from the input MRS spectrum. The proposed method is tested on simulated in vitro and real in vivo MRS data and compared with the Hankel–Lanczos singular value decomposition with partial reorthogonalization (HLSVD-PRO) method. The results obtained show that the semi-classical signal analysis (SCSA) performs comparably to the HLSVD-PRO in accurately suppressing the water peak.
Sourav Bhaduri, Patricia Clement, Eric Achten, and Hacene Serrai
Public Library of Science (PLoS)
To overcome long acquisition times of Chemical Shift Imaging (CSI), a new Magnetic Resonance Spectroscopic Imaging (MRSI) technique called Reduction of Acquisition time by Partition of the sIgnal Decay in Spectroscopic Imaging (RAPID-SI) using blipped phase encoding gradients inserted during signal acquisition was developed. To validate the results using RAPID-SI and to demonstrate its usefulness in terms of acquisition time and data quantification; simulations, phantom and in vivo studies were conducted, and the results were compared to standard CSI. The method was based upon the partition of a magnetic resonance spectroscopy (MRS) signal into sequential sub-signals encoded using blipped phase encoding gradients inserted during signal acquisition at a constant time interval. The RAPID-SI technique was implemented on a clinical 3 T Siemens scanner to demonstrate its clinical utility. Acceleration of data collection was performed by inserting R (R = acceleration factor) blipped gradients along a given spatial direction during data acquisition. Compared to CSI, RAPID-SI reduced acquisition time by the acceleration factor R. For example, a 2D 16x16 data set acquired in about 17 min with CSI, was reduced to approximately 2 min with the RAPID-SI (R = 8). While the SNR of the acquired RAPID-SI signal was lower compared to CSI by approximately the factor √R, it can be improved after data pre-processing and reconstruction. Compared to CSI, RAPID-SI reduces acquisition time, while preserving metabolites information. Furthermore, the method is flexible and could be combined with other acceleration methods such as Parallel Imaging.