ABSTRACT Objectives: The high frequency of learning difficulties, attention disorders or developmental delay in children in the early years of schooling has resulted in a greater demand for pediatric services. Such services generally include assessments covering various specialties, are lengthy and often inaccessible to families due to prohibitively high cost. This paper presents an economically efficient model of interdisciplinary diagnosis. Methods: A group of 109 Brazilian students from public schools aged between 5 and 14 years old, referred by teachers for a history of learning disabilities, behavioral changes or language problems, was evaluated at the NANI (Nucleo de Atendimento Neuropsicologico Infantil). Assessments were perform...
Objective: To identify the major specific causes of learning disability and its biopsychosocial pred...
Frequently misunderstood by their teachers as being low performers, children with learning disabilit...
The master’s thesis presents a development of a multi-parameter decision support model that offers a...
This article aims at presenting a model of interdisciplinary diagnosis screening in a child care neu...
Learning disabilities are a heterogeneous and common group of disorders that have a relevant impact ...
Abstract The objective of this study was to characterize the children referred to the Neuro-Learning...
Introduction: The last decades have brought great advances in the understanding of child neurodevelo...
O processo de aprendizagem escolar ocorre em um dinamismo evolutivo a partir do amadurecimento das á...
Copyright © Taylor & Francis Group, LLCReading disabilities are one of the most significant causes o...
O presente artigo apresenta o modelo de triagem diagnóstica interdisciplinar de um núcleo assistenci...
Aim: The present study was carried out in order to compare the neuropsychological features of pre-sc...
Aim: The present study was carried out in order to compare the neuropsychological features of pre-sc...
Learning disabilities have traditionally been diagnosed within a school setting using a psychoeducat...
<p></p><p>Abstract This study aimed to analyze the use of NEUPSILIN-Inf in a model of brief neuropsy...
Objective: To describe the methods used for neuropsychological assessment in children, emphasizing a...
Objective: To identify the major specific causes of learning disability and its biopsychosocial pred...
Frequently misunderstood by their teachers as being low performers, children with learning disabilit...
The master’s thesis presents a development of a multi-parameter decision support model that offers a...
This article aims at presenting a model of interdisciplinary diagnosis screening in a child care neu...
Learning disabilities are a heterogeneous and common group of disorders that have a relevant impact ...
Abstract The objective of this study was to characterize the children referred to the Neuro-Learning...
Introduction: The last decades have brought great advances in the understanding of child neurodevelo...
O processo de aprendizagem escolar ocorre em um dinamismo evolutivo a partir do amadurecimento das á...
Copyright © Taylor & Francis Group, LLCReading disabilities are one of the most significant causes o...
O presente artigo apresenta o modelo de triagem diagnóstica interdisciplinar de um núcleo assistenci...
Aim: The present study was carried out in order to compare the neuropsychological features of pre-sc...
Aim: The present study was carried out in order to compare the neuropsychological features of pre-sc...
Learning disabilities have traditionally been diagnosed within a school setting using a psychoeducat...
<p></p><p>Abstract This study aimed to analyze the use of NEUPSILIN-Inf in a model of brief neuropsy...
Objective: To describe the methods used for neuropsychological assessment in children, emphasizing a...
Objective: To identify the major specific causes of learning disability and its biopsychosocial pred...
Frequently misunderstood by their teachers as being low performers, children with learning disabilit...
The master’s thesis presents a development of a multi-parameter decision support model that offers a...