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Raviteja Kotikalapudi
I am particularly focused on developing predictive models and methodologies to better understand the connection between brain and behavior.

github: click-here

Timeline

since 2021PostDoc, PNI-Lab, Germany
since 2021Data Consultant, University of Goettingen, Germany (7.7 hours/week)
2019-2021PostDoc, University of Bern, Germany
2019-2021Data Consultant, University of Tuebingen, Germany (7.7 hours/week)
2015-2019PhD Studies, University of Tuebingen, Germany
2013-2014Senior Research Fellow, NIMHANS, India
2011-2012Research Assistant, University of Manchester, United Kingdom
2010-2011Master’s in Medical Physics - University of Manchester, United Kingdom
2005-2009Bachelor of Technology - Biomedical Engineering, JNTU-K, India

Publications

Click here for ALL publications. First/Last author publications are below:

  1. On the replicability of diffusion weighted MRI-based brain-behavior models, Kotikalapudi et al, 2024

  2. Brain morphology predicts individual sensitivity to pain: a multicenter machine learning approach, Kotikalapudi et al, 2023

  3. Predictive modeling of optimism bias using gray matter cortical thickness, Kotikalapudi et al, 2023

  4. Whole brain white matter correlates of personality profiles predictive of subjective well-being, Kotikalapudi et al, 2022

  5. Brain structure and optimism bias: a voxel-based morphometry approach, Kotikalapudi et al, 2022

  6. Enhanced sensitivity to optimistic cues is manifested in brain structure: a voxel-based morphometry study, Aue et al, 2021

  7. MP2RAGE multispectral voxel‐based morphometry in focal epilepsy, Kotikalapudi et al, 2019

  8. Systematic Assessment of Multispectral Voxel-Based Morphometry in Previously MRI-Negative Focal Epilepsy, Kotikalapudi et al, 2018