Using Deep Learning for Children Brain Image Analysis

Analyzing the correlation between brain volumetric/morphometry features and cognition/behavior in children is important in the field of pediatrics as identifying such relationships can help identify children who may be at risk for illnesses. Understanding these relationships can not only help identify children who may be at risk of illnesses, but it can also help evaluate strategies that promote brain development in children. Currently, one way to do this is to use traditional statistical methods such as a correlation analysis, but such an approach does not make it easy to generalize and predict how brain volumetric/morphometry will impact cognition/behavior. One of the cognition behaviors that can be predicted is the IQ score. In the age of artificial intelligence and machine learning, it has become fundamental to be able to exploit techniques such as deep learning to automate and improve tasks. One of the types of data that is used to make such assessments is mean diffusivity data (MD). In this paper, I propose using a machine learning approach and use the MD data to predict the IQ score of healthy 8-year old children. These predictions will provide insight into how well MD represents the IQ score of healthy 8-year old children and they will allow experts better understand how a child’s neuropsychological score is affected by volumetric/morphometry data. In this paper I examine five different neural network models for predicting the IQ score of healthy 8-year old children. Each model is different in either the architecture and how the data is processed before it is fed to into the neural network. After analyzing these models, I found that the best performing neural network for the data set we are working with consists of using the Principal Component Analysis (PCA) for feature reduction and standardization of the data. On average, this model’s IQ score predictions deviate from the true IQ score by 8.09%. Given the small data set and the high dimensionality of the data, it is concluded that this model’s IQ score predictions are reasonable and well modeled IQ scores for healthy 8-year old children

A Pilot Study Investigating the Feasibility and Acceptability of a Parent-Only Behavioral Weight-Loss Treatment for Children with Autism Spectrum Disorder.

Evidence-based weight-loss treatments for children with autism spectrum disorder (ASD) are lacking. Therefore, a parent-based weight-loss treatment for children with ASD (PBT-ASD) was developed. A pilot study was conducted to test the initial efficacy, feasibility, and acceptability of this intervention. Parents of 20 children with ASD and overweight/obesity (mean age = 9.90 (SD = 2.31) years; 90% male; 40% Hispanic) participated in a 16-session PBT-ASD. The PBT-ASD program was found to be feasible and acceptable. Both children and parents lost weight from pre- to post-treatment (p's < .05). Parent-reported child physical activity and vegetable consumption increased at post-treatment (p's < .05). This pilot study provides a proof-of-concept for PBT-ASD. Randomized controlled trials with larger samples and follow-up are needed

Good practice characteristics of diet and physical activity interventions and policies : an umbrella review

BACKGROUND: This umbrella review aimed at eliciting good practice characteristics of interventions and policies aiming at healthy diet, increasing physical activity, and lowering sedentary behaviors. Applying the World Health Organization's framework, we sought for 3 types of characteristics, reflecting: (1) main intervention/policy characteristics, referring to the design, targets, and participants, (2) monitoring and evaluation processes, and (3) implementation issues. This investigation was undertaken by the DEDPIAC Knowledge Hub (the Knowledge Hub on the DEterminants of DIet and Physical ACtivity), which is an action of the European Union's joint programming initiative. METHODS: A systematic review of reviews and stakeholder documents was conducted. Data from 7 databases was analyzed (99 documents met inclusion criteria). Additionally, resources of 7 major stakeholders (e.g., World Health Organization) were systematically searched (10 documents met inclusion criteria). Overall, the review yielded 74 systematic reviews, 16 position review papers, and 19 stakeholders' documents. Across characteristics, 25% were supported by ≥ 4 systematic reviews. Further, 25% characteristics were supported by ≥ 3 stakeholders' documents. If identified characteristics were included in at least 4 systematic reviews or at least 3 stakeholders' documents, these good practice characteristics were classified as relevant. RESULTS: We derived a list of 149 potential good practice characteristics, of which 53 were classified as relevant. The main characteristics of intervention/policy (n = 18) fell into 6 categories: the use of theory, participants, target behavior, content development/management, multidimensionality, practitioners/settings. Monitoring and evaluation characteristics (n = 18) were grouped into 6 categories: costs/funding, outcomes, evaluation of effects, time/effect size, reach, the evaluation of participation and generalizability, active components/underlying processes. Implementation characteristics (n = 17) were grouped into eight categories: participation processes, training for practitioners, the use/integration of existing resources, feasibility, maintenance/sustainability, implementation partnerships, implementation consistency/adaptation processes, transferability. CONCLUSIONS: The use of the proposed list of 53 good practice characteristics may foster further development of health promotion sciences, as it would allow for identification of success vectors in the domains of main characteristics of interventions/policies, their implementation, evaluation and monitoring processes

Caregiver Behaviors Associated With Emotion Regulation in High-Risk Preschoolers

Children who witness violence are at risk for developing a range of developmental problems, including deficits in understanding and regulating. The ability to adaptively manage emotions is associated with children’s mental health and their social and academic competence; however, little is known about how parents of at-risk youth can foster the healthy development of emotion regulation. The current study aimed to identify specific parenting practices associated with adaptive emotion regulation in at-risk preschoolers. Multimethod, multi-informant data were collected from 124 caregiver-child dyads from Head Start programs. Results indicated that interparental aggression was negatively associated with caregivers’ and children’s emotion regulation, but there were specific caregiver behaviors that moderated the association between interparental aggression and children’s emotion regulation. Specifically, care- givers’ sensitivity to children’s emotions during play, listening effectively to children’s expression of sadness, and their own capacity for emotion regulation buffered the association between exposure to interparental aggression and children’s emotion regulation. These findings provide practical insight into how parents can promote resilience in children exposed to violence by fostering healthy emotional regulation

Food Intake, Diet Quality and Behavioral Problems in Children: Results from the GINI-plus/LISA-plus Studies

Background/Aims: To assess the association between food intake and diet quality and behavioral problems at the 10-year follow-up of the two population-based birth cohorts of the studies German Infant Nutritional Intervention and `Influences of lifestyle-related factors on the immune system and the development of allergies in childhood'. Methods: Cross-sectional data on food intake over the past year were collected by a parent-reported food frequency questionnaire. Diet quality was based on reference values of food amounts of the optimized mixed diet. Behavioral problems were assessed by a parent-reported Strengths and Difficulties Questionnaire. Relationships between food category intake, diet quality and behavior problems were examined using multivariable regression modeling adjusted for gender, sociodemographic characteristics, body mass index, physical exercise, television viewing/PC use and total energy intake. A total of 3,361 children with complete data were analyzed. Results: Children with increased intake of confectionery had increased odds of having emotional symptoms {[}adjusted odds ratio (ORadj) 1.19, 95% confidence interval (CI) 1.08-1.32] compared to children with low intake. A higher diet quality score was associated with lower likelihood of emotional symptoms (ORadj 0.89, 95% CI 0.80-0.98). The un-adjusted significant relationship between diet quality and hyperactivity/inattention was attenuated by adjusting for several confounders to an ORadj of 0.92 (95% CI 0.82-1.03). Conclusions: Increased consumption of high-sugar products and lower diet quality are associated with a higher likelihood of emotional symptoms in children. Copyright (C) 2012 S. Karger AG, Base