Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups.

Unlabelled: Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder in childhood that often persists into adulthood. Objectively diagnosing ADHD can be challenging due to the reliance on subjective questionnaires in clinical assessment. Fortunately, recent advancements in artificial intelligence (AI) have shown promise in providing objective diagnoses through the analysis of medical images or activity recordings.

Objective ADHD Diagnosis Using Convolutional Neural Networks Over Daily-Life Activity Records.

Unlabelled: Attention Deficit/Hyperactivity Disorder (ADHD) is the most common neurobehavioral disorder in children and adolescents. However, its etiology is still unknown, and this hinders the existence of reliable, fast and inexpensive standard diagnostic methods.

Objective: This paper proposes an end-to-end methodology for automatic diagnosis of the combined type of ADHD.

[Health-related quality of life in cases of attention deficit hyperactivity disorder with and without pharmacological treatment].

Introduction: The health-related quality of life (HRQoL) questionnaire is important in order to assess the effects of therapeutic intervention. The aim of this study is to analyse HRQoL, comparing cases of attention deficit hyperactivity disorder (ADHD) treated with methylphenidate (ADHD-T), untreated cases (ADHD-N), and controls.

Material And Methods: The study included a sample of 228 participants between 8 and 14 years old (114 controls, 57 ADHD-T, and 57 ADHD-N).

Longitudinal Study of Cognitive Variables in Women with Schizophrenia: 31-Year Follow-Up Study.

Objective: To longitudinally analyze the course of cognitive dimensions in schizophrenic women over a period of 31 years.

Method: Accidental sampling. Developmental longitudinal design.

Prevalence of oppositional defiant disorder in Spain.

Introduction: Oppositional defiant disorder (ODD) is characterized by a pattern of negative, defiant, disobedient and hostile behavior toward authority figures. ODD is one of the most frequent reasons for clinical consultation on mental health during childhood and adolescence. ODD has a high morbidity and dysfunction, and has important implications for the future if not treated early.

Automatic diagnosis of ADHD based on multichannel nonlinear analysis of actimetry registries.

Attention-Deficit Hyperactivity Disorder (ADHD) is the most common mental health problem in childhood and adolescence. It is commonly diagnosed by means of subjective methods which tend to overestimate the severity of the pathology. A number of objective methods also exist, but they are either expensive or time-consuming.

[Utility of a statistical model of cognitive styles in attention deficit hyperactivity disorder].

The purpose of this study was to determine the best statistical model of cognitive styles, based on the MFFT-20, CEFT and Stroop tests to predict attention deficit hyperactivity disorder (ADHD), analyzing the validity of the model for the diagnosis of the disease. We studied 100 ADHD cases (DSM-IV criteria) and 100 controls, age ranging between 7 and 11 years. Controls were randomly recruited and matched in age, gender and sociodemographic area with ADHD cases.

[Usefulness of the Stroop test in attention deficit hyperactivity disorder].

Aims: The aim of this study is to analyse the differences in the Stroop effect between cases with attention deficit hyper-activity disorder (ADHD) and controls. It also seeks to find the best model based on the third task of the colours and words test (Stroop-CW) for predicting ADHD and to analyse the validity of the Stroop-CW test for diagnosing the disorder.

Subjects And Methods: The sample studied consisted of 100 cases of ADHD -according to Diagnostic and statistical manual of mental disorders (DSM-IV) criteria- and 100 controls, between 7 and 11 years of age, who were evaluated using the Stroop test.

[The freedom from distraction factor in the attention deficit hyperactivity disorder: a short model].

Attention deficit hyperactivity disorder (ADHD) usually presents a profile in which the freedom from distraction factor of the WISC-R (FDF) is affected to a greater extent than the verbal comprehension factor (VCF) and the perceptual organisation factor (POF). The formulation FDF< (VCF + POF)/2 has good sensitivity for ADHD. The aim of this study was to reduce the number of tests needed for the formulation FDF< (VCF + POF)/2, maintaining the sensitivity for ADHD and concordance with the complete formulation.