• भारत सरकार Government of India
  • शिक्षा मंत्रालय Ministry of Education
  • भारतीय प्रौद्योगिकी संस्थान खड़गपुर Indian Institute of Technology Kharagpur
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(731) | Tracking Depression and Elucidating its Mechanisms using Cognitive Neuroscience, EEG, and Machine Learning (Submitted On 26-APR-2023)
  • (PI) - Prof. M.K. (Marieke) van Vugt UNIVERSITY OF GRONINGEN
    From Date: 17-08-2019 | To Date : 31-08-2019
    No Of Participants: 0
    Contact Hrs : 0
    Total Contact Hrs : 0
    Visiting Institute
    Indian Institute of Technology Roorkee
    Course
    NA
    Outcome of The Visit

    Plans for collaborative research on the neural correlates of depression were made. Several discussions were held with Ph.D. students and professors at IIT Roorkee regarding the topic. Contacts were explored and talked to regarding data collection from hospitals.

    Participants

  • (PI) - Prof. M.K. (Marieke) van Vugt UNIVERSITY OF GRONINGEN
    From Date: 09-02-2023 | To Date : 18-03-2023
    No Of Participants: 0
    Contact Hrs : 0
    Total Contact Hrs : 0
    Visiting Institute
    Indian Institute of Technology Roorkee
    Outcome of The Visit

    Talked about further collaboration, monograph preparation, and discussions with students involved in this project regarding ongoing papers and future research plans

  • (PI) - Prof. M.K. (Marieke) van Vugt UNIVERSITY OF GRONINGEN
    From Date: 24-09-2022 | To Date : 28-09-2022
    No Of Participants: 0
    Contact Hrs : 0
    Total Contact Hrs : 0
    Visiting Institute
    Indian Institute of Technology Roorkee
    Outcome of The Visit

    Plans for collaborative research on the neural correlates of depression were made. Several discussions were held with Ph.D. students and professors at IIT Roorkee regarding the topic.

No data founds
No data founds
  • Pallavi Kaushik
    Roll No : 17911005
    Visit to date 14-02-2020 | Visit from date : 30-08-2019
    Email: pkaushik@cs.iitr.ac.in
    Home Institute
    Indian Institute of Technology Roorkee
    Visit Institute
    UNIVERSITY OF GRONINGEN
    Area Of Research

    Public Healthcare

  • Anmol Gupta
    Roll No : 17911007
    Visit to date 01-09-2021 | Visit from date : 01-03-2021
    Email: agupta@cs.iitr.ac.in
    Home Institute
    Indian Institute of Technology Roorkee
    Visit Institute
    UNIVERSITY OF GRONINGEN
    Area Of Research

    Public Healthcare

  • Depression: How AI can help?
    From Date : 28-02-2022 | To Date : 02-03-2022
    No of Participants : 188
    View more
    Workshop Overview

    Major Depressive Disorder (MDD) is one of the most prevalent mood disorders, affecting more than 264 million people worldwide. It has become so common that 1 in 15 adults is affected by it in a given year. Depression affects the way one feels, thinks and acts. It leads to sadness and feelings of anhedonia i.e. loss of interest in activities one once enjoyed, leading to decreased task performance and productivity. In it’s extreme form it can even lead to suicide which is the fourth leading cause of death in 15-29 year-olds and according to the World Health Organization close to 700,000 people die due to suicide every year. Entanglement of various factors like age, gender, culture, socio-economic status, education level, etc. in the manifestation and maintenance of depression makes detection and treatment even more challenging as each case can be unique and requires detailed study. Another major concern pertaining to depression is that even after it has been diagnosed and cured there is still a high chance of relapse in the patients.

    A lot of work is being done to understand MDD in the field of psychology and cognitive neuroscience and analogously lot of work is being done to classify MDD and healthy individuals using machine/deep learning. However, since the problem is too complex and requires expertise in various domains, collaborations are required to develop tools that can be used in real-life. In this workshop we bring experts from various relevant domains who have been working towards understnading MDD to not only discuss their work but also to talk about the problems faced and how AI can help in resolving them.

    Participants

    Anaadi Foundation
    BML Munjal University
    Indian Institute of Technology Delhi
    NRCVEE, IIT Delhi
    Indian Institute of Technology
    Graphic Era Deemed to be University
    University of Illinois at Chicago
    CGPIT, UTU
    Chandigarh University
    CHRIST University
    Cadence
    Walmart Labs
    Amrita Vishwa Vidyapeetham
    IIT R
    Walmart Global Technology Services
    Walmart Global Tech India
    IISER Bhopal
    NIMHANS
    COER
    IIT Roorkee
    Rai University
    Jawaharlal Nehru University
    SRMIST, KTR
    Amity University Uttar Pradesh Lucknow Campus
    Rajagiri School of Engineering and Technology
    Shri Venkateshwara University
    Teerthanker Mahaveer University
    Muthayammal Engineering College
    Model Institute of Engineering and Technology
    Dronacharya Govt. College, Gurugram,Haryana
    Giet University
    Multani Mal Modi College, Patiala
    College of Engineering Roorkee
    3i Infotech Ltd.
    HNBGARHWAL University Srinagar Garhwal Uttarakhand India
    Shambhunath Institute of Engineering & Technology Prayagraj, Uttar Pradesh
    VBS Purvanchal Universiy,Jaunpur
    IIT PATNA
    Gujarat University
    Sharda University
    Fr. Conceicao Rodrigues Institute of Technology Vashi Navi Mumbai
    Harman
    Amity University Haryana
    Uttaranchal University
    Crisil
    University of Jammu
    BBAU LUCKNOW
    Dr. MPS MEMORIAL COLLEGE OF BUSINESS STUDIES
    ITS ENGINEERING COLLEGE
    P P Savani University Surat
    ABES Engineering College, Ghaziabad
    Roorkee college of engineering, Roorkee
    IIMT UNIVERSITY Meerut
    St. Xavier College of Management & Technology,Patna
    Excel Engineering College
    BHAGALPUR COLLEGE OF ENGINEERING
    Noida Institute of Engineering and Technology
    Kirodimal Institute of Technology, Raigarh (C.G.)
    SRKR ENGINEERING COLLEGE
    Manakula Vinayagar Institute of Technology
    Baba Ghulam Shah Badshah University, Rajouri
    Ramaiah University of Applied Sciences
    BVC INSTITUTE OF TECHNOLOGY AND SCIENCE
    SRM IST
    G H PATEL COLLEGE OF ENGINEERING AND TECHNOLOGY
    Quantum University
    GIETU
    University of the people
    SRM Institute of Science and Technology
    MAHATMA GANDHI INSTITUTE OF TECHNOLOGY
    Vignana Bharthi Institute of Technology
    CMRCET
    Raghu Engineering College
    Prasad V Potluri Institution of Technology
    SIR C R REDDY COLLEGE OF ENGINEERING
    Omnicom Media Group
    SST College of Arts and Commerce
    PRL
    Sunder deep engineering college
    NMIMS university

No data founds
  • Type : PROCEDING

    Decoding the cognitive states of attention and distraction in a real-life setting using EEG

    Author: Pallavi Kaushik, Amir Moye, Marieke van Vugt, Partha Pratim Roy

    Publication Year: 2022

    Volume: 12
    Pages: 0 - 0
    Publisher: Nature
    Ref Doi: 10.1038/s41598-022-24417-w

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  • Type : JOINT_PUB

    Modeling effects of rumination on free recall using ACT-R

    Author: Anmol Gupta, Clemens Kaiser, Jonas Everaert, Marieke van Vugt and Partha Pratim Roy

    Publication Year: 2023

    Volume: 0
    Pages: 0 - 0
    Publisher: Wiley-Blackwell
    Ref Doi: 10.31234/osf.io/5qn9h

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  • Type : PAPER_CONF

    Decoding the Mental States of Focus and Distraction in a Real Life Setting of Tibetan Monastic Debates Using EEG and Machine Learning

    Author: Pallavi Kaushik, Marieke van Vugt, Partha Pratim Roy

    Publication Year: 2020

    Volume: 0
    Pages: 0 - 0
    Publisher: MathPsych/ICCM
    Ref Doi: mathpsych.org/presentation/174

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  • Type : JOINT_PUB

    Comparing resting state and task-based EEG using
    machine learning to predict vulnerability to depression

    Author: Pallavi Kaushik, Hang Yang, Partha Pratim Roy, and Marieke van Vugt

    Publication Year: 2023

    Volume: 0
    Pages: 0 - 0
    Publisher: preprint: psych archive

    View more