Dr. Sujas Bhardwaj
Verified @gmail.com
Postdoctoral Fellow
Centre for Brain Research, Indian Institute of Science, India
EDUCATION
PhD in Neurology (Movement Disorders- Neuroimaging), NIMHANS (November 2023)
M.Tech. (Cognitive and Neuroscience), Centre for Converging Technologies, University of Rajasthan (May 2016)
B.Tech. (Cognitive and Neuroscience), Centre for Converging Technologies, University of Rajasthan (May 2014)
RESEARCH, TEACHING, or OTHER INTERESTS
Cognitive Neuroscience, Neurology, Applied Psychology, Multidisciplinary
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Amitabh Bhattacharya, Albert Stezin, Nitish Kamble, Sujas Bhardwaj, Ravi Yadav, and Pramod Kumar Pal
Elsevier BV
Mohammed Farhan Ansari, Shweta Prasad, Sujas Bhardwaj, Nitish Kamble, K. Rakesh, Vikram V. Holla, Ravi Yadav, Rohan R. Mahale, Jitender Saini, and Pramod Kumar Pal
Springer Science and Business Media LLC
Rajan Kashyap, Sujas Bhardwaj, Sagarika Bhattacharjee, Albert Stezin Sunny, Kaviraja Udupa, Manoj Kumar, Pramod Kumar Pal, and Rose Dawn Bharath
Elsevier BV
Kaviraja Udupa, Amitabh Bhattacharya, Sujas Bhardwaj, Pramod K. Pal, and Robert Chen
Elsevier
Albert Stezin, Sujas Bhardwaj, Shantala Hegde, Sanjeev Jain, Rose Dawn Bharath, Jitender Saini, and Pramod Kumar Pal
Elsevier BV
Albert Stezin, Sujas Bhardwaj, Sunil Khokhar, Shantala Hegde, Sanjeev Jain, Rose Dawn Bharath, Jitender Saini, and Pramod Kumar Pal
Hindawi Limited
White matter (WM) integrity of Spinocerebellar ataxia 2 (SCA2) is poorly understood, more so in the early stages of SCA2. In this study, we evaluated the microstructural integrity of the WM tracts with an emphasis on the nature of in vivo pathological involvement in early SCA2.
Rose Dawn Bharath, Rajanikant Panda, Jeetu Raj, Sujas Bhardwaj, Sanjib Sinha, Ganne Chaitanya, Kenchaiah Raghavendra, Ravindranadh C. Mundlamuri, Arivazhagan Arimappamagan, Malla Bhaskara Rao,et al.
Springer Science and Business Media LLC
Kiran Raj V, Shyam Sundar Rajagopalan, Sujas Bhardwaj, Rajanikant Panda, Venkateswara Reddy Reddam, Chaitanya Ganne, Raghavendra Kenchaiah, Ravindranadh C Mundlamuri, Thennarasu Kandavel, Kaushik K Majumdar,et al.
Elsevier BV
Rose D. Bharath, Rajanikant Panda, Venkateswara Reddy Reddam, M. V. Bhaskar, Suril Gohel, Sujas Bhardwaj, Arvind Prajapati, and Pramod Kumar Pal
Frontiers Media SA
Background and Purpose: Repetitive transcranial magnetic stimulation (rTMS) induces widespread changes in brain connectivity. As the network topology differences induced by a single session of rTMS are less known we undertook this study to ascertain whether the network alterations had a small-world morphology using multi-modal graph theory analysis of simultaneous EEG-fMRI. Method: Simultaneous EEG-fMRI was acquired in duplicate before (R1) and after (R2) a single session of rTMS in 14 patients with Writer’s Cramp (WC). Whole brain neuronal and hemodynamic network connectivity were explored using the graph theory measures and clustering coefficient, path length and small-world index were calculated for EEG and resting state fMRI (rsfMRI). Multi-modal graph theory analysis was used to evaluate the correlation of EEG and fMRI clustering coefficients. Result: A single session of rTMS was found to increase the clustering coefficient and small-worldness significantly in both EEG and fMRI (p < 0.05). Multi-modal graph theory analysis revealed significant modulations in the fronto-parietal regions immediately after rTMS. The rsfMRI revealed additional modulations in several deep brain regions including cerebellum, insula and medial frontal lobe. Conclusion: Multi-modal graph theory analysis of simultaneous EEG-fMRI can supplement motor physiology methods in understanding the neurobiology of rTMS in vivo. Coinciding evidence from EEG and rsfMRI reports small-world morphology for the acute phase network hyper-connectivity indicating changes ensuing low-frequency rTMS is probably not “noise”.