Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product. | Zendy

Peter Kochunov | Zendy; Yizhou Ma | Zendy; Kathryn S. Hatch | Zendy; Lianne Schmaal | Zendy; Neda Jahanshad | Zendy; Paul M. Thompson | Zendy; Bhim M. Adhikari | Zendy; Heather Bruce | Zendy; Joshua Chiappelli | Zendy; Andrew van der Vaart | Zendy; Eric L. Goldwaser | Zendy; Aris Sotiras | Zendy; Tianzhou Ma | Zendy; Shuo Chen | Zendy; Thomas E. Nichols | Zendy; L. Elliot Hong | Zendy

Open Access

Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product.

Author(s) -

Peter Kochunov,

Yizhou Ma,

Kathryn S. Hatch,

Lianne Schmaal,

Neda Jahanshad,

Paul M. Thompson,

Bhim M. Adhikari,

Heather Bruce,

Joshua Chiappelli,

Andrew van der Vaart,

Eric L. Goldwaser,

Aris Sotiras,

Tianzhou Ma,

Shuo Chen,

Thomas E. Nichols,

L. Elliot Hong

Publication year - 2022

Publication title -

pacific symposium on biocomputing ...

Language(s) - English

Resource type - Conference proceedings

ISSN - 2335-6928

DOI - 10.1142/9789811250477_0013

Subject(s) - major depressive disorder , subclinical infection , neuroimaging , cognition , depression (economics) , cognitive vulnerability , psychology , clinical psychology , effects of sleep deprivation on cognitive performance , medicine , psychiatry , audiology , depressive symptoms , economics , macroeconomics

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