Using structural MRI to identify bipolar disorders – 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group

ABSTRACT: Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings neuroimaging analyses to individual subject level and may potentially a...

Full description

Autores:

Nunes, Abraham
Díaz Zuluaga, Ana María
López Jaramillo, Carlos Alberto
Pineda Zapata, Julián Alberto

Tipo de recurso:

Article of investigation

Fecha de publicación:

2020

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

eng

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/23143

Acceso en línea:

http://hdl.handle.net/10495/23143

Palabra clave:

Espectroscopía de Resonancia Magnética
Magnetic Resonance Spectroscopy
Trastorno Bipolar
Bipolar Disorder

Rights

openAccess

License

http://creativecommons.org/licenses/by-nc-sa/2.5/co/