Ahmad Azhdarloo, Maryam Tabiee, Mohammad Azhdarloo,
Volume 9, Issue 3 (10-2021)
Abstract
Recent neuroimaging studies have shown that main symptoms of Autism Spectrum Disorder (ASD) such as deficits in social communication, speech and repetitive behaviors are associated with abnormalities in neural connectivity. The abnormalities in neural connectivity have been studied by several methods. Among these methods, electroencephalography is an efficient and a non-invasive tool that records brain electrical activity and helps us to gain information about brain neural connectivity and cognitive characters. Therefore, the purpose of this study was to analyze electroencephalogram resting state data to compare brain connectivity (coherence) patterns between children with ASD and typically developing children. The method of this study was descriptive-analytical. The population of the study consisted of all children with ASD (aged 6-13) referred to psychologists in Mehraz Andisheh Clinic in Shiraz. Fifteen children with ASD (boys = 11 and girls = 4) were selected via purposeful sampling method. Moreover, a group of fifteen typically developing children who were matched based on chronological age and gender were recruited. Quantitative Electroencephalography data analyses showed a significant difference between the two groups and indicating hyper connectivity in most frequency bands among children with ASD. Therefore, quantitative electroencephalography patterns of children with ASD indicated an increase in the levels of coherence in delta (p < .05) and theta (p < .05) powers in the prefrontal region, theta (p < .05) and alpha (p < .05) waves in the central region, in theta (p < .001), alpha (p < .001) and beta (p < .001) waves in the occipital region, in addition to delta (p < .001), theta (p < .001) and alpha (p < .001) waves in the temporal region. The findings demonstrated abnormalities in brain connectivity (coherence) patterns of children with ASD which is supported by cortical connectivity theory. Consequently, these findings (hyper connectivity patterns) can be considered as a useful marker to better diagnose ASD. Moreover, changing these patterns may have a positive impact on the treatment of individuals with ASD.
Dr Jalil Fathabadi, Dr Vahid Nejati, Dr Neda Nazarboland, Dr Vahid Sadeghi Firooz Abadi, Mr Salar Nazarzadeh Gigloo,
Volume 11, Issue 1 (5-2023)
Abstract
Abstract
The purpose of this study was to investigate the effect of computer-based cognitive rehabilitation on cognitive regulation of emotion and emotion understanding in children with specific learning disorders. This research was conducted in a semi-experimental way (pre-test - post-test with a control and follow-up group). The statistical population of this study consisted of all the students with specific learning disorders (10-12 years old), who had been referred to the learning disorders center in Ardabil between the first of October and the middle of November 2017 (123 people). 30 of them were selected through purposive sampling (selection of volunteer students to participate in the research) (16 boys and 14 girls) and the emotional regulation questionnaires of Garnefsky et al. in identifying emotions and difficulty in describing emotions) were completed in three stages. The students of the experimental group completed the tasks of the cognitive rehabilitation package in 12 sessions of 45 minutes in a period of four weeks. The results of the covariance analysis of the data showed that the cognitive rehabilitation package based on a computer has an effect on improving rumination, positive refocusing, refocusing on planning, positive reappraisal, and acceptance of cognitive regulation of emotions in children with specific learning disorders, as well as understanding their emotions. The significance and comparison of the post-test results with the one-month follow-up test indicate the stability of this effect. Therefore, since these students are facing problems in cognitive regulation and emotional understanding, such interventions can solve their problems in this field.
Seyedeh Neda Gadamagahi Sani, Alireza Moradi, Reza Shalbaf, ,
Volume 11, Issue 1 (5-2023)
Abstract
Attention Deficit Hyperactivity Disorder is a type of neurodevelopmental disorder characterized by deficits in cognitive skills and emotional self-control. Many studies have pointed out the poor functioning of the frontal region in hyperactive patients. Increasing hemodynamic changes in the frontal region of these children can reduce the symptoms of the disorder. Goal: The purpose of this research is to investigate the changes in the concentration of hemoglobin (Hb) in the frontal region of these children during the cognitive activity of the computerized continuous performance test. Method: The current research is a clinical trial study with a pre-test-post-test-follow-up design. From 30 hyperactive children six to eight years old, fNIRS recording was performed along with computerized continuous performance test as a pre-test. Then they were divided into two groups of 15 people by simple random method. The first group underwent CES intervention and the second group underwent Captain Log's computerized cognitive intervention for 14 half-hour sessions, and after the interventions, the amount of hemodynamic changes in the frontal area of all participants was recorded by fNIRS along with computerized continuous performance test as a post-test. was taken Finally, after completing the intervention period 4 weeks later, the participants were followed up with the above tests. Findings: The average difference in oxygen uptake from pre-test to post-test in CES group was significant (p<0.01), but this difference was not significant from post-test to follow-up (p>0.05). In the captain log group, the difference in the average amount of oxygen absorption from pre-test to follow-up was significant based on the results of the t-test (p<0.05). The results indicate the non-significance of the effect of group interaction on time for the oxygen uptake variable, there is no significant difference between the CES and Captain Log groups in the amount of change in oxygen uptake from the pre-test session to the post-test session and follow-up (p>0.05).Conclusion: Based on the findings of this research, it can be concluded that CES intervention and Captain Log cognitive software intervention are effective treatments to increase the hemodynamic changes in the prefrontal region of hyperactive children and can also improve persistent visual attention deficit in these children.
Mahdiyeh Rahmanian, Mojgan Aghah Haris, Amir Abdolhoseini, , Rezvan Dehbani,
Volume 12, Issue 1 (6-2024)
Abstract
The present study was conducted with the aim of investigating the effectiveness of Captain Log cognitive rehabilitation software on attention and visual spatial and auditory active memory of adults with attention deficit hyperactivity disorder (ADHD). This research was conducted as an experiment with a pre-test-post-test design with a control group with a one-month follow-up. The statistical population of the current study consisted of all adults aged 18 to 40 with ADHD who referred to the clinics of the 2nd district of Tehran in 2022, first a clinic was selected purposefully, then the number of 24 patients of this clinic was randomly selected. They were assigned in two experimental groups (12 people) and control group (12 people). To collect data, Barclay's Adult ADHD Rating Scale, Black's Chair Test, Wechsler's Working Memory Test, Integrated Visual Auditory Performance Test, and Captain Log cognitive software were used to collect data. The experimental group underwent cognitive rehabilitation intervention of Captain Log for one month (12 sessions of 45 minutes). The results of the analysis of variance with repeated measurements showed that the cognitive rehabilitation training of the Captain Log software is effective on the attention and active visual and auditory memory of adults with ADHD and it is suggested that this software be used in neuropsychological rehabilitation clinics, universities and jobs that require It should be used for attention and high active memory.
