NYU Study Finds 3-Minute Smartphone Game Detects Depression Mechanism in 120 Adults
Updated
Updated · PsyPost · Jun 16
NYU Study Finds 3-Minute Smartphone Game Detects Depression Mechanism in 120 Adults
1 articles · Updated · PsyPost · Jun 16
Summary
A 120-person study found people with major depressive disorder showed a measurable reward-processing abnormality that a smartphone game identified in about three minutes, with quitting behavior closely tracking depression severity.
In the game, depressed participants abandoned shrinking rewards at about eight or nine apples versus four or five for healthy adults, implying a decisional reference point roughly 50% higher despite similar average earnings of $27.
A second task showed the same patients could shift expectations after exposure to favorite or least-favorite snacks, but unlike healthy adults they failed to return to baseline bids within minutes, indicating inflexible adaptation.
The researchers say that rigid reference point may help explain anhedonia and could become a therapeutic target, though they cautioned the finding may apply only to some depression subtypes and must be tested in larger groups and other disorders.
Can a smartphone game fix the mental health issues that smartphone addiction may help create?
If depression is cognitive 'stickiness,' could brain training become a primary prescription over pills?
Is anhedonia less about a lack of joy and more about a brain stuck on a broken reward calculator?
Fast, Objective, and Accessible: How a Smartphone Game Detects Depression in Minutes
Overview
NYU Langone Health has introduced a groundbreaking smartphone game that quickly and objectively identifies depression by measuring anhedonia, a core symptom affecting most people with major depressive disorder. The game is designed to be user-friendly, making it accessible even for children, and leverages the widespread use of smartphones to reach more people. By focusing on how players experience pleasure from enjoyable activities, the game offers a new, accessible way to detect depression early. This innovation could transform mental health diagnostics by making screening easier, faster, and more widely available to those in need.