Wearable Sensors Outperform Behavioral Coding as Valid Marker of Childhood Anxiety and Depression

There is a significant need to develop objective measures for identifying children under the age of 8 who have anxiety and depression. If left untreated, early internalizing symptoms can lead to adolescent and adult internalizing disorders as well as comorbidity which can yield significant health problems later in life including increased risk for suicide. To this end, we propose the use of an instrumented fear induction task for identifying children with internalizing disorders, and demonstrate its efficacy in a sample of 63 children between the ages of 3 and 7. In so doing, we extract objective measures that capture the full six degree-of-freedom movement of a child using data from a belt-worn inertial measurement unit (IMU) and relate them to behavioral fear codes, parent-reported child symptoms and clinician-rated child internalizing diagnoses. We find that IMU motion data, but not behavioral codes, are associated with parent-reported child symptoms and clinician-reported child internalizing diagnosis in this sample. These results demonstrate that IMU motion data are sensitive to behaviors indicative of child psychopathology. Moreover, the proposed IMU-based approach has increased feasibility of collection and processing compared to behavioral codes, and therefore should be explored further in future studies

Psychopathology and Parenting: An Examination of Perceived and Observed Parenting in Mothers With Depression and PTSD

Background The postpartum period represents a major transition in the lives of many women, a time when women are at increased risk for the emergence of psychopathology including depression and PTSD. The current study aimed to better understand the unique contributions of clinically significant postpartum depression, PTSD, and comorbid PTSD/depression on mother–infant bonding and observed maternal parenting behaviors (i.e., behavioral sensitivity, negative affect, positive affect) at 6 months postpartum. Methods Mothers (n=164; oversampled for history of childhood maltreatment given parent study\u27s focus on perinatal mental health in women with trauma histories) and infants participated in 6-month home visit during which dyads engaged in interactional tasks varying in level of difficulties. Mothers also reported on their childhood abuse histories, current depression/PTSD symptoms, and bonding with the infant using standardized and validated instruments. Results Mothers with clinically significant depression had the most parenting impairment (self-report and observed). Mothers with clinically significant PTSD alone (due to interpersonal trauma that occurred predominately in childhood) showed similar interactive behaviors to those who were healthy controls or trauma-exposed but resilient (i.e., no postpartum psychopathology). Childhood maltreatment in the absence of postpartum psychopathology did not infer parenting risk. Limitations Findings are limited by (1) small cell sizes per clinical group, limiting power, (2) sample size and sample demographics prohibited examination of third variables that might also impact parenting (e.g., income, education), (3) self-report of symptoms rather than use of psychiatric interviews. Conclusions Findings show that in the context of child abuse history and/or current PTSD, clinically significant maternal depression was the most salient factor during infancy that was associated with parenting impairment at this level of analysis

Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhood psychopathology. Perhaps most compelling is in the case of internalizing disorders, like anxiety and depression, where unobservable symptoms cause children to go unassessed-suffering in silence because they never exhibiting the disruptive behaviors that would lead to a referral for diagnostic assessment. If left untreated these disorders are associated with long-term negative outcomes including substance abuse and increased risk for suicide. This paper presents a new approach for identifying children with internalizing disorders using an instrumented 90-second mood induction task. Participant motion during the task is monitored using a commercially available wearable sensor. We show that machine learning can be used to differentiate children with an internalizing diagnosis from controls with 81% accuracy (67% sensitivity, 88% specificity). We provide a detailed description of the modeling methodology used to arrive at these results and explore further the predictive ability of each temporal phase of the mood induction task. Kinematical measures most discriminative of internalizing diagnosis are analyzed in detail, showing affected children exhibit significantly more avoidance of ambiguous threat. Performance of the proposed approach is compared to clinical thresholds on parent-reported child symptoms which differentiate children with an internalizing diagnosis from controls with slightly lower accuracy (.68-.75 vs. .81), slightly higher specificity (.88-1.00 vs. .88), and lower sensitivity (.00-.42 vs. .67) than the proposed, instrumented method. These results point toward the future use of this approach for screening children for internalizing disorders so that interventions can be deployed when they have the highest chance for long-term success

The error- related negativity as a neuromarker of risk or resilience in young children

IntroductionThe error- related negativity (ERN) is a neural response that reflects error monitoring. Contradictorily, an enlarged (more negative) ERN has been cited as both a risk factor and a protective factor, which hinders its utility as a predictive indicator. The aim of the current study was to examine the associations between ERN measured in early childhood with the development of cognitive control (CC), emotion regulation, and internalizing/externalizing symptoms over 1- 2 years.MethodsWhen children were ages 5- 7, EEG was collected during a Go/No- Go task. A subset of the original participants (n = 30) were selected based on their baseline ERN in an extreme- case design: half with high- amplitude ERN, matched by age and sex with another group with low- amplitude ERN.ResultsAt follow- up, children in the High- Amplitude group showed better executive function, less self- reported anxiety and depression, less affect dysregulation, more parent- rated CC, less lability/negativity, and fewer parent- reported externalizing problems. Many results held even when accounting for baseline levels. Further, emotion dysregulation mediated the relationship between the ERN and both anxiety and externalizing problems, while CC mediated the ERN’s relationship with externalizing problems only.ConclusionsThese results can inform identification and intervention efforts for children at risk for psychopathology.High- amplitude error- related negativity (ERN), measured in early childhood, predicts better self- control, including executive function and cognitive control and less affect dysregulation in middle childhood, and predicts fewer anxiety, depression, and externalizing symptoms over time. Emotion dysregulation mediated the relationship between the ERN and both anxiety and externalizing problems, while cognitive control mediated the ERN’s relationship with externalizing problems only.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/167047/1/brb32008_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/167047/2/brb32008.pd

Wearable sensors detect childhood internalizing disorders during mood induction task.

There is a significant need to develop objective measures for identifying children under the age of 8 who have anxiety and depression. If left untreated, early internalizing symptoms can lead to adolescent and adult internalizing disorders as well as comorbidity which can yield significant health problems later in life including increased risk for suicide. To this end, we propose the use of an instrumented fear induction task for identifying children with internalizing disorders, and demonstrate its efficacy in a sample of 63 children between the ages of 3 and 7. In so doing, we extract objective measures that capture the full six degree-of-freedom movement of a child using data from a belt-worn inertial measurement unit (IMU) and relate them to behavioral fear codes, parent-reported child symptoms and clinician-rated child internalizing diagnoses. We find that IMU motion data, but not behavioral codes, are associated with parent-reported child symptoms and clinician-reported child internalizing diagnosis in this sample. These results demonstrate that IMU motion data are sensitive to behaviors indicative of child psychopathology. Moreover, the proposed IMU-based approach has increased feasibility of collection and processing compared to behavioral codes, and therefore should be explored further in future studies

Conducting EEG research in clinically anxious preschoolers: A pilot study and preliminary recommendations

Electroencephalography (EEG) data collection can be challenging in preschoolers with anxiety who are often debilitated by fear of the unknown. Thus, we iteratively refined techniques for EEG collection in three cohorts of children with anxiety enrolled in our study of a novel intervention. Techniques involved directing child attention away from the EEG setup (Cohort 1, N = 18), open discussion of equipment and processes during setup (Cohort 2, N = 21), and a preparatory EEG‐exposure session prior to data collection (Cohort 3, N = 6). Children (N = 45, 4–7 years) attempted a Time 1 EEG before intervention, and those who completed intervention (N = 28) were invited to a Time 2 EEG. The percentages who provided analyzable EEGs were assessed by cohort. Cohort 3 provided more Time 1 EEGs (83.3%) than Cohorts 1 or 2 (66.7% each), suggesting that the preparatory session supported first‐time EEG collection. More children provided Time 2 EEG data across successive cohorts (Cohort 1: 66.7%, Cohort 2: 82%, Cohort 3: 100%), suggesting that more open communication facilitated repeat EEG collection. Ultimately, increased EEG exposure and child‐friendly communication about procedures improved data acquisition in this sample of clinically anxious preschoolers. Detailed study procedures are shared to support future EEG research in young children with anxiety.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/170291/1/dev22183_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/170291/2/dev22183.pd

Pearson correlations between behavioral fear codes and IMU-derived movement variables.

<p>Pearson correlations between behavioral fear codes and IMU-derived movement variables.</p

Correlations between parent-reported child behavior problems, child movement, and coded behavioral data.

<p>Correlations between parent-reported child behavior problems, child movement, and coded behavioral data.</p

Definition of the summary measures computed using IMU data from each phase of the mood induction task.

<p>Definition of the summary measures computed using IMU data from each phase of the mood induction task.</p