Single-neuron mechanisms underlying cost-benefit analysis in frontal cortex

• Published in: The Journal of neuroscience 2013-10, Vol.33 (44), p.17385-17397
• Main Authors: Hosokawa, Takayuki, Kennerley, Steven W, Sloan, Jennifer, Wallis, Jonathan D
• Format: Article
• Language: English
• Subjects: Animals; Brain Mapping - methods; Choice Behavior - physiology; Cost-Benefit Analysis; Frontal Lobe - cytology; Frontal Lobe - physiology; Macaca mulatta; Male; Neurons - physiology; Photic Stimulation - methods; Psychomotor Performance - physiology
• ISSN: 0270-6474; 1529-2401; 1529-2401
• DOI: 10.1523/jneurosci.2221-13.2013

Effective decision-making requires consideration of costs and benefits. Previous studies have implicated orbitofrontal cortex (OFC), dorsolateral prefrontal cortex (DLPFC), and anterior cingulate cortex (ACC) in cost-benefit decision-making. Yet controversy remains about whether different decision costs are encoded by different brain areas, and whether single neurons integrate costs and benefits to derive a subjective value estimate for each choice alternative. To address these issues, we trained four subjects to perform delay- and effort-based cost-benefit decisions and recorded neuronal activity in OFC, ACC, DLPFC, and the cingulate motor area (CMA). Although some neurons, mainly in ACC, did exhibit integrated value signals as if performing cost-benefit computations, they were relatively few in number. Instead, the majority of neurons in all areas encoded the decision type; that is whether the subject was required to perform a delay- or effort-based decision. OFC and DLPFC neurons tended to show the largest changes in firing rate for delay- but not effort-based decisions; whereas, the reverse was true for CMA neurons. Only ACC contained neurons modulated by both effort- and delay-based decisions. These findings challenge the idea that OFC calculates an abstract value signal to guide decision-making. Instead, our results suggest that an important function of single PFC neurons is to categorize sensory stimuli based on the consequences predicted by those stimuli.