Behavioral and neural properties of social reinforcement learning.

Social learning is critical for engaging in complex interactions with other individuals. Learning from positive social exchanges, such as acceptance from peers, may be similar to basic reinforcement learning. We formally test this hypothesis by developing a novel paradigm that is based on work in nonhuman primates and human imaging studies of reinforcement learning. The probability of receiving positive social reinforcement from three distinct peers was parametrically manipulated while brain activity was recorded in healthy adults using event-related functional magnetic resonance imaging. Over the course of the experiment, participants responded more quickly to faces of peers who provided more frequent positive social reinforcement, and rated them as more likeable. Modeling trial-by-trial learning showed ventral striatum and orbital frontal cortex activity correlated positively with forming expectations about receiving social reinforcement. Rostral anterior cingulate cortex activity tracked positively with modulations of expected value of the cues (peers). Together, the findings across three levels of analysis--social preferences, response latencies, and modeling neural responses--are consistent with reinforcement learning theory and nonhuman primate electrophysiological studies of reward. This work highlights the fundamental influence of acceptance by one's peers in altering subsequent behavior.

Transitional and translational studies of risk for anxiety.

Adolescence reflects a period of increased rates of anxiety, depression, and suicide. Yet most teens emerge from this period with a healthy, positive outcome. In this article, we identify biological factors that may increase risk for some individuals during this developmental period by: (1) examining changes in neural circuitry underlying core phenotypic features of anxiety as healthy individuals transition into and out of adolescence; (2) examining genetic factors that may enhance the risk for psychopathology in one individual over another using translation from mouse models to human neuroimaging and behavior; and (3) examining the effects of early experiences on core phenotypic features of anxiety using human neuroimaging and behavioral approaches. Each of these approaches alone provides only limited information on genetic and environmental influences on complex human behavior across development. Together, they reflect an emerging field of translational developmental neuroscience in forming important bridges between animal models of neurodevelopmental and neuropsychiatric disorders.

The storm and stress of adolescence: insights from human imaging and mouse genetics.

The characterization of adolescence as a time of "storm and stress" remains an open debate. Intense and frequent negative affect during this period has been hypothesized to explain the increased rates of affective disorders, suicide, and accidental death during this time of life. Yet some teens emerge from adolescence with minimal turmoil. We provide a neurobiological model of adolescence that proposes an imbalance in the development of subcortical limbic (e.g., amygdala) relative to prefrontal cortical regions as a potential mechanism for heightened emotionality during this period. Empirical support for this model is provided from recent behavioral and human imaging studies on the development of emotion regulation. We then provide examples of environmental factors that may exacerbate imbalances in amygdala-ventrofrontal function increasing risk for anxiety related behaviors. Finally we present data from human and mouse studies to illustrate how genetic factors may enhance or diminish this risk. Together, these studies provide a converging methods approach for understanding the highly variable stress and turmoil experienced in adolescence.

Physiological determinants of walking effort in older adults: should they be targets for physical activity intervention?

Older adults do not get enough physical activity increasing risk for chronic disease and loss of physical function. The purpose of this study was to determine whether neuromuscular, metabolic, and cardiorespiratory indicators of walking effort explain daily activity in community-dwelling older adults. Sixteen women and fourteen men, 78 ± 8 years, performed a steady-state walk on a treadmill at 1.25 m s-1 while muscle activation, heart rate, lactate, respiratory exchange ratio, oxygen consumption (VO2), ventilation, and rating of perceived exertion (RPE) were recorded as markers of Walking Effort. Daily walking time, sitting/lying time, energy expenditure, and up-down transitions were recorded by accelerometers as markers of Daily Activity. Structural equation modeling was used to explore the relationship between the latent variables Walking Effort and Daily Activity controlling for age and BMI. Participants spent 9.4 ± 1.9 h of the waking day sedentary and 1.9 ± 0.6 h walking. In the structural equation model, the latent variable Walking Effort explained 64% of the variance in the Daily Activity latent variable (ß = 0.80, p = 0.004). Walking Effort was identified by heart rate (ß = 0.64), ventilation (ß = 0.88), vastus lateralis activation (ß = 0.49), and lactate (ß = 0.58), all p < 0.05, but not RPE or VO2. Daily Activity was identified by stepping time (ß = 0.75) and up-down transitions (ß = 0.52), all p < 0.05. Walking effort mediated the effects of age and BMI on older adults' daily activity making physiological determinants of walking effort potential points of intervention.