There is emerging data that patterns of motor activity early in neonatal life can predict impairments in neuromotor development. However, current techniques to monitor infant movement mainly rely on observer scoring, a technique limited by skill, fatigue, and inter-rater reliability. Consequently, we tested the use of a lightweight, wireless, accelerometer system that measures movement and can be worn by premature babies without interfering with routine care. We hypothesized that this system would be useful in assessing motor activity, in identifying abnormal movement, and in reducing the amount of video that a clinician would need to review for abnormal movements. Ten preterm infants in the NICU were monitored for 1 h using both the accelerometer system and video. A physical therapist trained to recognize cramped-synchronized general movements scored all of the video data by labeling each abnormal movement observed. The parameters of three different computer models were then optimized based on correlating features computed from accelerometer data and the observer’s annotations. The annotations were compared to the model’s prediction on unseen data. The trained observer identified cramped-synchronized general movements in 6 of the 10 infants. The computer models attained between 70% and 90% accuracy when predicting the same observer label for each data point. Our study suggests that mini-accelerometers may prove useful as a clinical tool assessing patterns of movement in preterm infants.

Decision making ability has been reported to be impaired in schizophrenia patients, but no research has examined the genetic bases of this impairment. This study investigated how decision making was affected by the genetic variants in the serotonin transporter gene (triallelic 5-HTTLPR) and serotonin receptor 1A gene (rs6295) and their interaction in 465 schizophrenia patients and 448 healthy controls. The Iowa Gambling Task (IGT) was used to evaluate decision making under ambiguity (the first 40 trials) and decision making under risk (the last 60 trials). Results showed that, among the patients, the main effects of 5-HTTLPR (F 2,16 = 6.54, P = 0.002) and HTR1A rs6295 (F 2,16 = 3.87, P = 0.021) polymorphisms and their interaction effect (F 4,16 = 3.32, P = 0.005) were significant for the first 40 trials, with the GG genotype of HTR1A rs6295, the L L genotype of 5-HTTLPR and the GG-L L combination showing poorer IGT performance than their counterparts. Results for the healthy controls showed a similar pattern but did not reach statistical significance. No significant effects were found for the last 60 trials. These results are discussed in terms of their implications for our understanding of the genetic mechanisms of decision making in schizophrenia patients as well as healthy adults.

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