Objective: ADHD and autism are complex and frequently co-occurring neurodevelopmental conditions with shared etiological and pathophysiological elements. In this paper, we attempt to differentiate these conditions among the young people in terms of intrinsic patterns of brain connectivity revealed during resting state using machine learning…

After reviewing past efforts related to computer-based reading disability (RD) assessment, we present a fully automated screening battery that evaluates critical skills relevant for RD diagnosis designed for unsupervised application in the Greek educational system. Psychometric validation in 301 children, 8-10 years old (grades 3 and 4; including…

Three studies investigated the effectiveness of the Computer Assisted Reading Diagnosis, a diagnostic system based on "rauding" theory (a collection of theories, constructs, and equations developed to describe, explain, predict and control the ability to comprehend relatively easy sentences) and a causal model of reading achievement.…

A computer-based questionnaire was developed to help parents who have not received specialized training to determine whether their young children need further assessment for diagnosis of developmentally at-risk status. The computer automatically determines a starting point for a series of questions according to the child's chronological age. The…