Article

Individual Variability: Age-related Differences and Clinical Variation

2025-05-22

Abstract excerpt

<p>Although neuroeconomics often seeks to identify generalizable principles of value and choice, understanding how these processes vary across individuals is essential for building models that reflect the full range of human behavior. This section explores how cognitive, affective, and motivational systems differ across populations—whether due to aging, mental health, or substance use—and how those differences sha...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e0781392-2adb-5953-a6b7-eeed6ebd4822
DOI: 10.31234/osf.io/e3cr8_v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Individual Variability: Age-related Differences and Clinical VariationDOI 10.31234/osf.io/e3cr8_v1Read

Individual Differences in Neuroeconomics: Age, Sex and Gender, and Clinical VariationSemantic proximity Read

A Foraging-Theory-Based Model Captures the Spectrum of Human Behavioral Diversity in Sequential Decision MakingSemantic proximity Read

Computational Phenotyping of Effort-Based Decision Making in Unmedicated Adults With Remitted Depression.Semantic proximity Read

An fMRI-based brain marker predicts individual differences in delay discountingSemantic proximity Read

Characterizing heterogeneity in human reinforcement learning and the arbitration of behavioral controlSemantic proximity Read

Body appearance values modulate risk aversion in eating restrictionSemantic proximity Read

Day-to-day fluctuations in craving and the value of drugs and food in daily lifeSemantic proximity Read

Outcome context-dependence is not WEIRD: Comparing reinforcement- and description-based economic preferences worldwideSemantic proximity Read

Higher Motivation and Pleasure Scores Predict More Reliance on Model-Free Decision-MakingSemantic proximity Read