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Research / Funded grants

2017 Standard Research Grant

Imaging Informatics to Identify Neurobehavioral Risk Factors for Suicidal Ideation and Behavior

1 research finding from this AFSP-funded study.

The grant behind this work · 2017 Standard Research Grant

Imaging Informatics to Identify Neurobehavioral Risk Factors for Suicidal Ideation and Behavior

Spiro Pantazatos, Ph.D.

Spiro Pantazatos, Ph.D.

Research Foundation for Mental Hygiene

Amount awarded
$100,000
Focus area
Neurobiological

Inside the Research

Question: What can applying machine learning to brain imaging data teach us about suicidal ideation and behavior?

Strategy: Two large brain imaging databases with measures of brain structure and function, neuropsychological function, and suicidal ideation and behavior will be analyzed using machine learning.

Impact: Identification of neural markers of suicidal ideation and behavior.

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