Ongoing Research
Understanding the perspective of green-neuromarketing using EEG
PI: Indranath Chatterjee
Member(s): Tamara Hummadi
Goal: Understanding the perspective, sustainability and challenges of green marketing as a part of neuromarketing using EEG technology.
Investigation of chronic pain sensation using fMRI
PI: Indranath Chatterjee
Member(s): Lea Baumgaertner
Goal: Multi-Classification of chronic pain patients by functional magnetic resonance imaging (fMRI) based on deep learning techniques. Pain has been ever since a complex phenomenon in the medical area. Much knowledge about pain is still undiscovered. Therefore machine learning methods may be helpful in pain-related research, by predicting pain types or distinguishing brain areas between pain patients and healthy controls.
Prediction of Brain Performance and Complexity Measures of EEG Signal of Schizophrenia patients.
PI: Indranath Chatterjee
Member(s): Susweta Das
Goal: Prediction of Brain Performance and Complexity Measures of EEG Signal of Schizophrenia patients.
Uncovering the historic alleys of Neuroscience's growth in South Korea: A timelapse from the 17th century to date
Principal Investigator (PI) and Author: Dr. Indranath Chatterjee
Co-Author: Ms. Videsha Bansal
Period: February 2021 – Ongoing
Funding Amount: Euro 1,100 (~ 100,000 INR)
Funding Agency: The Federation of European Neuroscience Societies (FENS), Belgium.
Place: Tongmyong University, South Korea
Automated Diagnosis and Identification of Affected Brain Regions in Schizophrenia using fMRI.
PI: Indranath Chatterjee
Member(s): Naveen Kumar; Bharti Rana; Manoj Agarwal; Virendra Kumar
Goal: Automated Diagnosis and Identification of Affected Brain Regions in Schizophrenia using fMRI.
This project is divided into sub research.
Evaluation of Psychological/ Cognitive Flexibility in Adventure Sports.
PI: Indranath Chatterjee
Member(s): Debjani Kar
Goal: To enlighten our understanding regarding the cognitive flexibility in adventure sports persons.
Brain mapping and functional connectivity in Schizophrenia
PI: Indranath Chatterjee
Member(s): M. Ferdousi
Goal: A resting-state fMRI based study on schizophrenia to map the brain in terms of functional connectivity in schizophrenia.
Study on Various Neurotransmitters involved in Schizophrenia
PI: Indranath Chatterjee
Member(s): Videsha Bansal
Goal: Study of the role of neurotransmitters in the brain of schizophrenia patients. We also aim to identify the neural pathways associated with the schizophrenic symptoms, thereby targeting to discover the connected brain maps in terms of neurotransmitters' pathways across the brain.
Genetic Study of Schizophrenia: Investigation of inheritance and missing links in genes.
PI: Indranath Chatterjee
Member(s): Namrata Jawanjal
Goal: A key risk factor for schizophrenia is inheritance. Molecular genetic research has created novel discoveries in the last decade, infusing hope about understanding schizophrenia's molecular origins. The difficulty of the object of investigation, however, makes it nearly difficult for non-genetic experts (e.g., many physicians and researchers) to get a clear understanding and knowledge of the genetic results and their limitations. This research aims to encourage such an understanding by presenting a concise summary of some of the main approaches and observations in the biology of schizophrenia, from its historical roots to its present status, and also by discussing the shortcomings and obstacles facing this area of study.
Data Science and Machine learning
PI: Indranath Chatterjee
Member(s): Akansha Gautam; Ajay Kumar