Zeinab Samnia; Sholeh Livarjani; Leila Hassan Pashaei
Abstract
Introduction: The aim of this study was to evaluate the effectiveness of Captain Log software training on processing speed, working memory and cognitive flexibility in children with attention deficit / hyper-activity disorder. Methods: From children aged 7 to 9 years with attention deficit / hyperactivity ...
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Introduction: The aim of this study was to evaluate the effectiveness of Captain Log software training on processing speed, working memory and cognitive flexibility in children with attention deficit / hyper-activity disorder. Methods: From children aged 7 to 9 years with attention deficit / hyperactivity disorder referred to health centers of East Azerbaijan province, 30 people were selected using purposive sampling method and in this quasi-experimental study of pre-test-post-test type They participated with two control and experimental groups. Data collection was performed using three subscales tests (cryptographic test, symbolization test and digit memory expanse test) Wechsler intelligence test for children and visual memory subscale of Wexler memory test and Wisconsin card classification test. Mean data and standard deviation were used to analyze the data in the inferential statistics section and repeated measures analysis of variance was used in the analytical statistics section.The mean difference in the three variables showed that processing speed and working memory And cognitive flexibility (P<0/0001) is significant in children trained with software and untrained children. Conclusion: The results showed that the training of Captain Log cognitive software caused active memory in children with attention deficit / hyperactivity disorder.
hadi safari; Shahrokh Makvand Hosseini; parviz sabahi; ali maleki
Abstract
Aim: Attention Deficit / Hyperactivity Disorder is a disorder with cognitive impairment that standardized tests such as Wechsler use to diagnose these defects. Recently, neural network research has received special attention in psychological research. The aim of this study was to rank Wechsler's effective ...
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Aim: Attention Deficit / Hyperactivity Disorder is a disorder with cognitive impairment that standardized tests such as Wechsler use to diagnose these defects. Recently, neural network research has received special attention in psychological research. The aim of this study was to rank Wechsler's effective fourth and integrated subscales in predicting this disorder by neural network method. Method: The research sample was the students who referred to Shahriar Counseling Centers and were selected by the sampling method and 162 people were selected by clinical interview based on DSM5 criteria in the academic year of 1996-97. Attention Deficit Hyperactivity, Hyperactivity, and Combination Scores were determined by teachers by completing the Swanson and Neupleham questionnaire, and finally the Wechsler Intelligence Test was performed in the fourth version. The data were analyzed by neural network and MATLAB software. 40 subscales were identified as network inputs with 40, an intermediate layer with 42 neurons, and an output layer as the best network pattern. Finding: In the combined type of subscales 1-complete the picture, 2-Capacity of letter-to-song, 3-Similarities, 4- Options of visual vocabulary, 5-Accidental deletion, In the type of hyperactivity 1- complete the picture, 2-Deletion Random, 3- Direct spatial capacity, 4- Cube design process and 5- Similarities, in the type of failure, attention 1-picture concepts 2-Similarities 3- Symbolism, 4- Number-letter sequence 5- Calculations of the most effective subscales Were(P <0.05). Results: The results showed that neural networking is a method capable of predicting attention deficit / hyperactivity disorder, and some of Wechsler's subscales are superior to others in identifying cognitive impairments.
