Defining and distinguishing infant behavioral states using acoustic cry analysis: is colic painful?

BACKGROUND: To characterize acoustic features of an infant's cry and use machine learning to provide an objective measurement of behavioral state in a cry-translator. To apply the cry-translation algorithm to colic hypothesizing that these cries sound painful. METHODS: Assessment of 1000 cries in a mobile app (ChatterBabyTM). Training a cry-translation algorithm by evaluating >6000 acoustic features to predict whether infant cry was due to a pain (vaccinations, ear-piercings), fussy, or hunger states. Using the algorithm to predict the behavioral state of infants with reported colic. RESULTS: The cry-translation algorithm was 90.7% accurate for identifying pain cries, and achieved 71.5% accuracy in discriminating cries from fussiness, hunger, or pain. The ChatterBaby cry-translation algorithm overwhelmingly predicted that colic cries were most likely from pain, compared to fussy and hungry states. Colic cries had average pain ratings of 73%, significantly greater than the pain measurements found in fussiness and hunger (p < 0.001, 2-sample t test). Colic cries outranked pain cries by measures of acoustic intensity, including energy, length of voiced periods, and fundamental frequency/pitch, while fussy and hungry cries showed reduced intensity measures compared to pain and colic. CONCLUSIONS: Acoustic features of cries are consistent across a diverse infant population and can be utilized as objective markers of pain, hunger, and fussiness. The ChatterBaby algorithm detected significant acoustic similarities between colic and painful cries, suggesting that they may share a neuronal pathway.

Cognitive reactivity, dysfunctional attitudes, and depressive relapse and recurrence in cognitive therapy responders.

Dysfunctional attitudes can foreshadow depressive relapse/recurrence. Priming mood, through induction paradigms, is hypothesized to activate dysfunctional attitudes. Cognitive reactivity (CR) refers to mood-linked increases in dysfunctional attitudes after priming. Here we explored the extent to which CR as well as residual, unprimed, dysfunctional attitudes predicted depressive relapse/recurrence among depressed patients who responded to acute phase cognitive therapy (CT). Consenting adults, aged 18-70, with recurrent major depressive disorder (n = 523) participated in a two-site randomized controlled trial examining the durability of continuation phase treatments. Patients received 16-20 sessions of CT. Among the 245 incompletely remitted responders, 213 agreed to undergo a mood induction paradigm. After 8 months of continuation phase treatments, participants were followed an additional 24 months. Although the mood induction significantly lowered mood in 80% of responders, the expected CR was not evident. By contrast, higher unprimed dysfunctional attitudes following CT did predict relapse/recurrence over 20 and 32 months post-randomization. The findings of this large longitudinal study of incompletely remitted CT responders challenge the notion that it is necessary to prime mood in order to maximize dysfunctional attitudes' prediction of relapse and/or recurrence. While findings cannot be generalized beyond CT responders, they emphasize the clinical importance of reducing dysfunctional attitudes in preventing depression.