Best Negative Data Prize Awarded to Dr. Chadi G. Abdallah

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The Best Negative Data Prize is awarded to the researcher or research group whose neuroscience study best exemplifies data where the outcomes do not confirm the expected results or working hypothesis.

Metadata
Provider: 
PR NewswirePR Newswire
Retrieved on: 
Monday, October 4, 2021
Information
Tags: 
Society, Ketamine, Global, European College of Neuropsychopharmacology, Biomedical Research, MTORC1, ECNP, Therapy, Depression, Patient, Core, Baylor College of Medicine, MD, The Prize, CEO, Associate, Prize, CVB, Science, Technology, Psychiatry, Research, GPDF, Brain, Education, Neuroscience, Doctor of Philosophy, Baylor University, Pharmaceutical industry, Medicine
Geotags: 
NEW YORK, US, EUROPE
Organisation: 
COHEN VETERANS BIOSCIENCE
Website: 
http://www.cohenveteransbioscience.org
Summary
Key Points: 
  • The Best Negative Data Prize is awarded to the researcher or research group whose neuroscience study best exemplifies data where the outcomes do not confirm the expected results or working hypothesis.
  • This year's prize for clinical neuroscience extends CVB's previous sponsorship of the same prize for preclinical neuroscience, which has been awarded biennially since 2018 by the Global Preclinical Data Forum (GPDF).
  • The prize aims to initiate a paradigm shift in which negative data are valued according to the same standards as positive data.
  • The Global Preclinical Data Forum has coordinated the Best Negative Data Prize in Preclinical Neuroscience biannually since 2018.


Best Negative Data Prize Awarded to Dr. Chadi G. Abdallah

NEW YORK, Oct. 4, 2021 /PRNewswire/ -- Cohen Veterans Bioscience (CVB) and the European College of Neuropsychopharmacology (ECNP) have awarded the 2021 Best Negative Data Prize in Clinical Neuroscience to Chadi Abdallah, MD whose work inadvertently revealed mechanisms that may play a role in depression relapse following treatment with ketamine.

Currently, Dr. Abdallah is an Associate Professor of Psychiatry at Baylor College of Medicine, and the Director of the Core for Advanced MRI.

The Best Negative Data Prize is awarded to the researcher or research group whose neuroscience study best exemplifies data where the outcomes do not confirm the expected results or working hypothesis.

In the case of Dr. Abdallah's work, the results contradicted the expected hypothesis that a particular pathway in the brain, mTORC1, mediates the antidepressant effects of ketamine, which preclinical research had strongly implicated earlier.

In fact, Dr. Abdallah's study showed that when rapamycin—a mTORC1 inhibitor—was given prior to ketamine, not only were the rapid antidepressant effects of ketamine not reduced but the rates of remission and response were increased two weeks following treatment. Currently, ketamine must be infused two to three times per week to afford clinical benefit, which is not ideal for patients.

"This methodologically sound paper advanced the field significantly by an unexpected finding contrary to the hypothesis that also has translational implications. It thus epitomizes the kind of research the prize wants to highlight," said Andreas Meyer-Lindenberg, M.D., the chair of the ECNP awards committee and editor in chief of the societies' open access journal Neuroscience Applied.

This year's prize for clinical neuroscience extends CVB's previous sponsorship of the same prize for preclinical neuroscience, which has been awarded biennially since 2018 by the Global Preclinical Data Forum (GPDF).

The purpose of the unusual award is to incentivize researchers to publish negative findings to demonstrate that all data is worthy for the scientific process. The prize aims to initiate a paradigm shift in which negative data are valued according to the same standards as positive data.

The  Prize was awarded to Dr. Abdallah for his paper titled
Modulation of the antidepressant effects of ketamine by the mTORC1 inhibitor rapamycin, which was published in the February 24, 2020, issue of Neuropsychopharmacology.

"CVB is delighted to extend our sponsorship of the Best Negative Data Prize to Clinical Neuroscience as it aligns with our vision to support robust, reproducible research to advance brain health. Moving scientific researchers to adapt to the idea of negative data having value could only accelerate progress for all," said Magali Haas, MD, PhD, CVB's President and CEO.

Publication Award
The award, presented at the 34th ECNP Congress Hybrid, is a monetary prize of 10,000 (ten thousand) Euro, made available through the generous sponsorship of Cohen Veterans Bioscience (https://www.cohenveteransbioscience.org/). The prize was awarded by Dr. Chantelle Ferland-Beckham, CVB's Director of Policy and Advocacy and a member of the GPDF Steering Committee who initiated the prize.

About Cohen Veterans Bioscience  
Cohen Veterans Bioscience is a non-profit 501(c)(3) biomedical research and technology organization dedicated to advancing brain health by fast-tracking precision diagnostics and tailored therapeutics.

CVB is also the lead organization behind the US branch of the Global Preclinical Data Forum, a joint US and European initiative that encourages global collaboration to address modern issues in preclinical science, with the goal of enhancing data utility for clinical research and development. The Global Preclinical Data Forum has coordinated the Best Negative Data Prize in Preclinical Neuroscience biannually since 2018. To learn more about the preclinical prize and apply for the 2022 prize, visit https://www.preclinicaldataforum.org.

About the ECNP
The European College of Neuropsychopharmacology (ECNP) is an independent scientific association dedicated to the science and treatment of disorders of the brain. It is the largest non-institutional supporter of applied and translational neuroscience research and education in Europe.

Contact:
Karin Eskenazi
Senior Director, Communications
[email protected]

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SOURCE Cohen Veterans Bioscience

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