Multimodal Differences in Effort-based Decision-Making in Depression

Major depressive disorder (MDD) is a debilitating neuropsychiatric condition characterized by multiple chronic symptoms, including sad mood, anhedonia, psychomotor symptoms, and suicidal thoughts. MDD induces significant personal and societal suffering, becoming the largest contributor to the overall disease burden in developed countries. There is clearly an urgent need to advance our understanding of MDD and its constituent symptoms. Of these, the inability to expend effort have proven harder to treat than mood-related symptoms and are key predictors of functional impairment and disease burden. The biological mechanisms that contribute to this impairment are not fully understood. Addressing this gap in knowledge will be helpful in developing therapy, including novel brain stimulation therapies that offer the ability to target brain circuits precisely.

Current evaluation approaches to characterizing reduced motivation rely on clinical assessments of patient symptoms through interviews and observation. While these typically assess functions relevant to patient quality of life, these assessments may be confounded by biases. On the other hand, translational research focuses on characterizing symptoms using computer-based tasks that provide quantitative objective markers (e.g., reaction time in pressing a key on a keyboard) but may not reflect real-life situations. In addition, studies investigating brain mechanisms often use functional magnetic resonance imaging (fMRI), which requires patients to be stationary. Thus, there is a fundamental disconnect between measurements of behavior and the behavior itself under study.

To overcome these limitations, the study team envisions developing an instrumented behavioral assay, HORMES, that allows the objective assessment of reduced motivation during naturalistic behavior with concurrent measurements of the central and autonomic nervous systems as well as metabolic energy expenditure. This assay will utilize a CAREN system at Human Augmentation Core, a core facility available at Georgia Tech that is currently used for biomechanics research.

The proposed study will investigate differences in brain activity, autonomic system function, and metabolic energy expenditure in patients with major depression and matched controls during an effort-based decision-making task. The study team will collect multiple physiological measures - brain activity, cardiac activity, breathing activity, and energy expenditure in patients with major depression when they walk on a treadmill. Biomechanical information will be obtained using motion capture. The amount of effort they will need to expend will be varied by adjusting the treadmill's incline. These measures will be compared against those from a control group with age, gender, and BMI-matched healthy individuals.

The outcome of this study will inform what differences exist between healthy individuals and individuals with depression. The participants will be recruited from the Atlanta metro area and will all be allocated to the intervention. which is a behavioral task. The task requires participants to maximize rewards by choosing to pursue actions of different levels of physical effort (walking).