
MIND Lab
Current Projects
In this ongoing research program in collaboration with Dr. Helena Rutherford and the Before and After Baby Lab (BABL), we study the basic mechanisms of how parents notice and decipher the meaning of infant affective cues, such as emotional facial expressions, by conceptualizing processing infant cues as an evidence accumulation process. Evidence accumulation is a class of computational models describing the temporal dynamics of how people reach decisions, applied here to the context of parenting for the first time to examine how caregivers decide whether an infant is currently distressed or not. Evidence accumulation parameters can inform on specific biases in different processing stages: (1) expectancy bias: the pre-existing tendency to expect distress; (2) perceptual discriminability: the speed with which evidence gathers; and (3) stimulus evaluation bias: evidence gathering drifts faster for distress vs. calm/neutral evidence. We are especially interested in how these parameters and biases relate to caregiver mental health (e.g., anxiety), caregiving behavior, and infant emotional reactivity, as well as the trajectory of these biases from pregnancy to postpartum.
In one of the studies, evidence accumulation modeling will be used to tap into neurocognitive origins of negativity bias in processing infant cues as mechanisms in the early intergenerational transmission of anxiety. We suggest that parenting-specific negativity biases—misinterpretation of neutral (calm) infant faces as distressed as modeled by evidence accumulation modeling—may lead to inaccurate interpretation of the infant’s mental state (i.e., failures in mentalizing), and thereby to noncontingent maternal behavioral responsivity to the infant during interactions. Over time, such noncontingent behavior may lead to overemphasis of distress in the dyad, evoke hypersensitivity to potentially negative stimuli in the infant, which would manifest in fearful temperament (an early precursor of anxiety).
This study is supported by SRCD's Small Grants Program for Early Career Scholars and the Yale Kavli Institute for Neuroscience.