The proposed research develops new computational tools to identify, diagnose, and predict treatment outcome for different mental illnesses. The research will be applied first to major depressive disorder, which affects millions of Americans, but is intended to be applied to any mental illness, such as Alzheimer's disease, bipolar disorder, schizophrenia – indeed to analyze differences in brain structure, activity, or connectivity between any two populations
BACKGROUND: Efforts to develop neuroimaging-based biomarkers in major depressive disorder (MDD), at ...
This paper discusses the promising areas of research into machine learning applications for the prev...
Background: Major depressive disorder and bipolar disorder in adolescents are prevalent and are asso...
The proposed research develops new computational tools to identify, diagnose, and predict treatment ...
We will analyze variations in brain anatomy and create the first integrated software environment to ...
The proposed research develops new computational tools to identify, diagnose, and predict treatment ...
BACKGROUND: A chronic course of major depressive disorder (MDD) is associated with profound alterati...
One of the greatest challenges in providing early effective treatment in mood disorders is the early...
Fully automated classification algorithms have been successfully applied to diagnose a wide range of...
AbstractFully automated classification algorithms have been successfully applied to diagnose a wide ...
AbstractBackgroundA chronic course of major depressive disorder (MDD) is associated with profound al...
Network-based analysis of structural and functional connections has provided a new technique to stud...
The treatment of major depressive disorder (MDD) is hampered by low chances of treatment response in...
Brain imaging data are incredibly complex and new information is being learned as approaches to mi...
Single subject prediction of brain disorders from neuroimaging data has gained increasing attention ...
BACKGROUND: Efforts to develop neuroimaging-based biomarkers in major depressive disorder (MDD), at ...
This paper discusses the promising areas of research into machine learning applications for the prev...
Background: Major depressive disorder and bipolar disorder in adolescents are prevalent and are asso...
The proposed research develops new computational tools to identify, diagnose, and predict treatment ...
We will analyze variations in brain anatomy and create the first integrated software environment to ...
The proposed research develops new computational tools to identify, diagnose, and predict treatment ...
BACKGROUND: A chronic course of major depressive disorder (MDD) is associated with profound alterati...
One of the greatest challenges in providing early effective treatment in mood disorders is the early...
Fully automated classification algorithms have been successfully applied to diagnose a wide range of...
AbstractFully automated classification algorithms have been successfully applied to diagnose a wide ...
AbstractBackgroundA chronic course of major depressive disorder (MDD) is associated with profound al...
Network-based analysis of structural and functional connections has provided a new technique to stud...
The treatment of major depressive disorder (MDD) is hampered by low chances of treatment response in...
Brain imaging data are incredibly complex and new information is being learned as approaches to mi...
Single subject prediction of brain disorders from neuroimaging data has gained increasing attention ...
BACKGROUND: Efforts to develop neuroimaging-based biomarkers in major depressive disorder (MDD), at ...
This paper discusses the promising areas of research into machine learning applications for the prev...
Background: Major depressive disorder and bipolar disorder in adolescents are prevalent and are asso...